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Flexibility of equine bioenergetics and muscle plasticity in response to different types of training: An integrative approach, questioning existing paradigms

  • Constance de Meeûs d’Argenteuil ,

    Contributed equally to this work with: Constance de Meeûs d’Argenteuil, Berit Boshuizen

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

    Constance.Demeeusdargenteuil@Ugent.be

    Affiliation Department of Virology, Parasitology and Immunology, Research Group of Comparative Physiology, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium

  • Berit Boshuizen ,

    Contributed equally to this work with: Constance de Meeûs d’Argenteuil, Berit Boshuizen

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliations Department of Virology, Parasitology and Immunology, Research Group of Comparative Physiology, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium, Wolvega Equine Hospital, Oldeholtpade, The Netherlands

  • Maarten Oosterlinck,

    Roles Data curation, Formal analysis, Investigation, Methodology, Supervision, Validation, Writing – review & editing

    Affiliation Department of Surgery and Anaesthesiology of Domestic Animals, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium

  • Don van de Winkel,

    Roles Data curation, Formal analysis, Investigation, Methodology, Validation, Writing – review & editing

    Affiliation Wolvega Equine Hospital, Oldeholtpade, The Netherlands

  • Ward De Spiegelaere,

    Roles Methodology, Writing – review & editing

    Affiliation Department of Morphology, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium

  • Cornelis Marinus de Bruijn,

    Roles Conceptualization, Data curation, Investigation, Writing – review & editing

    Affiliation Wolvega Equine Hospital, Oldeholtpade, The Netherlands

  • Klara Goethals,

    Roles Formal analysis, Writing – review & editing

    Affiliation Department of Nutrition, Genetics and Ethology, Research Group Biometrics, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium

  • Katrien Vanderperren,

    Roles Data curation, Formal analysis, Writing – review & editing

    Affiliation Department of Veterinary Medical Imaging and Small Animal Orthopaedics, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium

  • Cathérine John Ghislaine Delesalle

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Department of Virology, Parasitology and Immunology, Research Group of Comparative Physiology, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium

Abstract

Equine bioenergetics have predominantly been studied focusing on glycogen and fatty acids. Combining omics with conventional techniques allows for an integrative approach to broadly explore and identify important biomolecules. Friesian horses were aquatrained (n = 5) or dry treadmill trained (n = 7) (8 weeks) and monitored for: evolution of muscle diameter in response to aquatraining and dry treadmill training, fiber type composition and fiber cross-sectional area of the M. pectoralis, M. vastus lateralis and M. semitendinosus and untargeted metabolomics of the M. pectoralis and M. vastus lateralis in response to dry treadmill training. Aquatraining was superior to dry treadmill training to increase muscle diameter in the hindquarters, with maximum effect after 4 weeks. After dry treadmill training, the M. pectoralis showed increased muscle diameter, more type I fibers, decreased fiber mean cross sectional area, and an upregulated oxidative metabolic profile: increased β-oxidation (key metabolites: decreased long chain fatty acids and increased long chain acylcarnitines), TCA activity (intermediates including succinyl-carnitine and 2-methylcitrate), amino acid metabolism (glutamine, aromatic amino acids, serine, urea cycle metabolites such as proline, arginine and ornithine) and xenobiotic metabolism (especially p-cresol glucuronide). The M. vastus lateralis expanded its fast twitch profile, with decreased muscle diameter, type I fibers and an upregulation of glycolytic and pentose phosphate pathway activity, and increased branched-chain and aromatic amino acid metabolism (cis-urocanate, carnosine, homocarnosine, tyrosine, tryptophan, p-cresol-glucuronide, serine, methionine, cysteine, proline and ornithine). Trained Friesians showed increased collagen and elastin turn-over. Results show that branched-chain amino acids, aromatic amino acids and microbiome-derived xenobiotics need further study in horses. They feed the TCA cycle at steps further downstream from acetyl CoA and most likely, they are oxidized in type IIA fibers, the predominant fiber type of the horse. These study results underline the importance of reviewing existing paradigms on equine bioenergetics.

Introduction

Equestrian sports competition takes place with an ever-increasing frequency and intensity, even at the recreational and semi-professional level. To prevent the occurrence of sports injuries, the application of a thorough and well-considered training protocol is of utmost importance. The purpose of a well-considered training protocol is threefold: 1) creating stamina or aerobic capacity, which is the basis for any form of performance capacity; 2) practicing of specific skills such as racing, show jumping, dressage etc.; and 3) ensuring that different parts of the athlete’s body adapt to the competition type and level at which it needs to perform [13]. The latter adaptation is seen for example in the bony skeleton, strengthening itself in response to training load and also in specific muscle groups that show plasticity and thus physiologically adapt in response to specific types of training [47]. This adaptation manifests itself mainly at three different levels within the muscle. First of all, it is well known that shifts in muscle fiber type composition occur as a consequence of certain types of training [715]. Associated with that, muscle groups can either increase or decrease in muscle mass. Ideally, these adaptations are ultimately seen in the main muscle groups responsible for force and locomotion necessary for a certain sports discipline. Since each of these muscle fiber types uses its own specific set of main metabolic pathways, shifts also take place in the metabolic fingerprint of muscle groups in response to training [1623]. On top of that, not all muscles show the same adaptation in response to a certain type of training. Muscle groups that are predominantly involved in posture will show a different adaptation pattern when compared to muscle groups that are primarily involved in locomotion. However, up until now, no equine studies are available that apply a standardized multimodal approach looking into the effect of different types of training on changes in muscle diameter, muscle fiber type composition and muscle bioenergetics of a multitude of muscles and also providing a view on when the maximal training effect is to be expected. The strategic combination of novel “omics” techniques with more conventional analysis techniques allows for exploring the possible existence of previously unknown pathways and candidate fuels and to evaluate their importance. Many equine energy metabolism studies have been focusing on knowledge extrapolated from human and ruminant studies [24, 25]. However, horses are hind-gut fermenters, so, differences from both human and ruminant energy metabolism are to be expected. By monitoring the evolution of the muscle diameter in a set of 15 strategically chosen muscles by morphometric assessment, it becomes possible to obtain a detailed view of the core set of muscles on which each training technique has its focus effect.

Muscle fibers are classified as either slow twitch (type I) fibers or fast twitch (type IIA, type IIX and hybrid type IIAX) fibers. Type I fibers have a small fiber cross-sectional area (CSA), which is associated with a decreased diffusion distance for oxygen transport. These fibers have a high capillary number and rely on rapid supply of fuels through the circulatory system. Moreover, they are fatigue resistant and rely on mainly aerobic metabolism and thus, the electron transfer system as final step for ATP production.

In contrast, type II fibers have a large fiber CSA and thus a high storage capacity for fuels. Type IIA fibers are fast aerobic glycolytic. They realize fast contractions using primarily oxidative pathways. Type IIX and type IIAX muscle fibers represent a transitional form [10, 11, 2628].

Distribution of fast twitch versus slow twitch fibers in human skeletal muscles on a whole equals approximately a 50% ratio [29, 30]. In horses, fast twitch muscle fibers of type IIA, are the predominant type [31, 32].

Although Friesian horses’ performance capacity has recently been evaluated with Standardized Exercise Tests (SET) [33], studies focusing on muscle fiber type composition of this breed are lacking. Friesian horses are genetically related to cold-blooded draught breeds, such as Haflinger, Dutch draft and Belgian draft, which are heavily muscled breeds that are able to generate high-power output [34, 35].

In essence, the metabolic fingerprint of a certain muscle group needs to be viewed as the compilation of the metabolic fingerprint of all of the individual muscle fibers harbored within that muscle group. Shifts in muscle fiber type composition that occur in response to certain types of training coincide with shifts in the metabolic profile of a certain muscle group [7, 9, 11, 36, 37].

In human sports and training science, a lot of information is available about the effect of different types of training approaches on muscle plasticity and shifts in muscle fiber type composition [7, 9, 11, 14, 15, 26, 36]. In equine sports medicine, the number of studies, comparing plasticity and muscle fiber type composition shifts in response to different types of training is growing rapidly [3852]. Still, equine studies focusing on shifts in the muscle metabolic fingerprint in response to training are very scarce [23, 5355]. A few human [5658], equine [23, 5962] and rodent [20, 63, 64] studies have looked into shifts in blood metabolomic profiles in response to training. However, the circulation as body compartment connects to all organ systems, such as the liver, gastro intestinal tract, etc., which makes it nearly impossible to link these study results one on one to shifts in muscle metabolism, as has been shown by Zhang et al. [17].

Most energy cycles were discovered a long time ago, such as the tricarboxylic acid cycle (TCA), which was discovered by Hans Krebs in 1935 (Fig 1). All these energy pathways have been intensively described. Apart from fat and glucose, also proteins can be catabolized to produce precursors of glycolysis and the TCA cycle. Amino acids can feed the TCA cycle at different levels (jagged arrows in Fig 1). Figs 1 and 2 provide an overview of the different energy cycles.

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Fig 1. Metabolism in the cytosol and mitochondria of the skeletal muscle.

The metabolites are grouped in different pathways: the glycogen metabolism pathway, glycolysis, pentose phosphate pathway (PPP) and amino acid metabolism: BCAA: branched-chain amino acid; AAA: aromatic amino acid; PEP: phosphoenol pyruvic acid; MPC: mitochondrial pyruvate carrier; CPT: carnitine palmitoyl transferase; OXPHOS: oxidative phosphorylation. The TCA cycle is the final and universal step before the vast amount of ATP is created at the level of the electron transport system (OXPHOS). Apart from fat and glucose, also proteins can be catabolized to produce precursors of glycolysis and the TCA cycle. Amino acids can feed into the TCA cycle at acetyl CoA, as well as at steps further downstream from acetyl CoA (jagged arrows).

https://doi.org/10.1371/journal.pone.0249922.g001

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Fig 2. Branched-chain amino acid metabolism (BCAA) in muscle mitochondria.

Intermediates derived from alternative pathways can feed into the TCA cycle. BCAT: branched-chain amino acid aminotransferase; BCKDH: branched-chain keto-acid dehydrogenase complex; CrAT: carnitine acetyltransferase.

https://doi.org/10.1371/journal.pone.0249922.g002

Up until now, especially glycogen and short chain fatty acids (SCFA) have received a lot of attention in equine metabolic studies. However, evidence is accumulating that other important substances might have been overlooked in the past [23, 53, 62]. With that respect, untargeted metabolomics provide a view on previously unexplored substrates.

Obviously, the type of training and training load play a crucial role in the shift that occurs at the level of the muscle fiber type composition and metabolic fingerprint of a specific muscle group and the core set of muscles that is modulated [6569]. For the current study it was decided to focus on dry treadmill training and aquatraining.

Dry treadmill exercise (DT) is often added to training and rehabilitation protocols in horses, although its effects on different muscle groups and their metabolism is not completely clear [70]. This type of training is often applied in exercise studies since it allows for controlling many parameters such as speed, inclination, duration, environmental conditions, etc. [70]. Once the horse is habituated to this type of training, high constancy in stride variables has been described [71]. It has been shown that DT increases aerobic capacity and improves the cardiovascular function of horses [72, 73].

Water treadmill exercise or aquatraining (AT) is increasingly incorporated into equine training and rehabilitation programs because it combines moderate intensity exercise with minimal burden on tendons and articulations [74, 75]. However, little is known about the physiological adaptive training responses occurring in horses subjected to AT. A few studies have been performed on the effect of AT on aerobic capacity, including the effect of different belt speeds, water heights and water temperatures on physiological parameters such as heart rate, skin temperature and blood lactic acid levels [7479]. Both human and equine studies have pointed out that AT is an aerobic form of exercise, although it does not seem to increase aerobic capacity in a training protocol [75]. Human, equine and canine studies have shown that water height has a significant effect on kinematic responses [76, 77, 8084]. However, little effect on heart rate and blood lactic acid levels could be seen during AT in horses (water height from baseline to 80% of the wither height) [76]. Scott et al. (2010) [77] did not see a difference in heart rate when comparing DT to AT. Reported plateaus for lactic acid values and heart rate seen during AT correspond with exercise performed within the aerobic window [7477]. A recent study tested 3 different speeds (1.11; 1.25; 1.39 m/sec) and water heights (mid-canon, carpus, stifle) on respiratory and cardiovascular parameters in Quarter horses, a breed well known for its richness in type IIX muscle fibers. They concluded that the heart rate was significantly higher in AT horses when compared to DT horses and that this difference became more pronounced with increasing water heights (from mid-canon to stifle) [80].

Up until now, no standardized equine studies are available applying longitudinal follow up of muscle diameter, muscle fiber type composition and untargeted metabolomic fingerprint assessment on specific muscle groups in response to training. Even in human sports medicine such studies are lacking. A targeted metabolic study was performed by Borgia et al. (2010) [55] who found no changes in resting concentrations of gluteal or superficial digital flexor muscle glycogen, lactic acid, ATP or glucose-6-phosphate, or activities of citrate synthase, 3-hydroxyacyl-CoA dehydrogenase and lactate dehydrogenase after 4 weeks of AT when compared to starting conditions in 5 horses of mixed breeds. This was in accordance with a study of Firshman et al. (2015) [40] in which 6 Quarter horses were trained in a cross-over design on a conventional treadmill and then on a deep water treadmill (water up to olecranon; belt speed 1.5 m/sec) for 8 weeks, with 60 days detraining in between. In this study, no training effect could be seen on muscle fiber type composition, nor heart rate, muscle metabolites or blood lactic acid [40]. Recently, an untargeted metabolomics study of the M. gluteus medius of 8 Standardbred horses was performed, looking into the effect of 12 weeks of DT and the effect of acute fatiguing intense exercise on a treadmill [23]. In that study, muscle biopsies and plasma samples were taken before and respectively 3 and 24h after training, at start (unconditioned state) and finish (conditioned state) of the training trial. Klein et al. (2020) [23] reported that DT had significant effects on nucleotide- and xenobiotic related markers and increased almost all long chain fatty acids as well as long chain acylcarnitines and branched-chain amino acid derived acylcarnitines (C3 and C5). Plasma samples showed similar profiles as muscle biopsies when comparing conditioned with unconditioned state, but did not show significant differences when comparing samples before and after acute exercise [23].

Aims of the study

The aims of the current study were (1) to identify the skeletal muscles that show significant changes in muscle diameter in response to respectively 8 weeks of aquatraining (AT) and 8 weeks of dry treadmill training (DT); and (2) to provide an overview of changes in the muscular bioenergetics, muscular fiber type composition and fiber CSA induced by 8 weeks of DT.

Material and methods

Study design

A first group of seven healthy untrained client owned Friesian horses (age range 2.5–3.5 years; 4 ♀ and 3 intact ♂) completed a dry treadmill training program (DT) of 8 weeks duration (20 min per session, 5 days/week, belt speed 1.25 m/sec). A second group of five healthy untrained client owned Friesian horses (age range 2.5–3.5 years; 2 ♀ and 3 intact ♂) completed an 8 weeks aquatraining (AT) program in the same device (20 min per session, 5 days/week, water height: mid-metacarpus, water temperature 7°C, belt speed 1.25 m/sec). Horses were not trained in any way before this study. Both training periods were preceded by 2 weeks of acclimatization and the time, speed and intensity of both training regimens remained constant throughout the study. The same concentrate feed and source of roughage was used throughout both studies in all horses. Horses were fed concentrate feed twice a day, at 8 AM and 8 PM. Horses were housed in individual boxes and did not have access to pasture during the entire trial nor during the acclimatization period. Vital signs were recorded twice a day: rectal temperature, respiratory rate, heart rate, capillary refill time and color of mucous membranes, appetite and fecal consistency. Right before, immediately after and 10 minutes after cessation of each training session the heart rate of each horse was registered by auscultation by the same person. Ethical approval for this study was granted by the Centrale Commissie Dierproeven, The Hague, The Netherlands, file AVD262002015144 and all efforts were made to maximize animal welfare throughout the study.

Muscle morphometrics

Throughout both training studies, morphometric assessment of 15 strategically chosen muscle groups was performed on 3 different occasions: at start, after 4 weeks and at finish of the training protocol (8 weeks) at both sides of the body, using transcutaneous B-mode ultrasound (Esaote, macroconvex probe, 2.5–4.3 MHz). When needed, horses were sedated using detomidine (10 μg/kg bwt) (Detogesic®, Vetcare, Finland) and butorphanol (20 μg/kg bwt) (Butomidor®, Richter Pharma AG, Wels, Austria).

The areas of interest were clipped, scrubbed with chlorhexidine digluconate (Hibiscrub®, Regent Medical Ltd., Oldham, Lancashire, United Kingdom) and subsequently shaved and covered with ultrasound coupling gel. Shaving was performed on a regular basis throughout the study to assure that ultrasound was always performed on the same anatomical locations. Muscle diameters were compared between left and right body side and throughout the training period, in order to identify muscle groups showing either an increase, a decrease or no change in muscle diameter. The transsectional diameter of each muscle was measured at three different locations for spindle shaped muscles: in the middle, at the origin and the insertion site (Fig 3A) and on 6 different locations for the triangular shaped muscles (M. semimembranosus and M. semitendinosus) (Fig 3B). Each measure was executed twice and the mean was taken. In both studies all ultrasounds were performed by the same certified veterinarian.

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Fig 3. Ultrasonographic assessment of muscle morphometrics.

(A) in spindle shaped muscles; (B): in triangular shaped muscles.

https://doi.org/10.1371/journal.pone.0249922.g003

Muscle biopsies

In the DT group, fine needle muscle biopsies were harvested. For the DT group this was performed at start and finish of the study, at rest, on a non-training day, from the M. pectoralis, M. vastus lateralis of the quadriceps femoris and the M. semitendinosus. Briefly, the horses were sedated with detomidine (10 μg/kg bwt) (Detogesic®, Vetcare, Finland) and butorphanol (20 μg/kg bwt) (Butomidor®, Richter Pharma AG, Wels, Austria). The area was clipped, shaved and subsequently surgically disinfected. Local anesthetic ointment was applied (Emla® 5%, Astra-Zeneca, Rueil-Malmaison, France). After 10 minutes, local anesthetic solution (Lidocaine Hydrochloride®, Braun, Germany) was injected subcutaneously and a small stab incision was made with a surgical blade number 11. Subsequently, a 14G Bergström needle was inserted into the muscle, until a depth of 4 cm was reached on each occasion. Two samples were taken under suction pressure, to obtain a total of approximatively 120 mg muscle tissue, which was then divided into three portions: one sample was embedded in Tissue-Tek® OCT compound (Sakura Finetek, Torrance, CA) and was immediately snap-frozen in isopentane in liquid nitrogen and stored at -80°C until processed for muscle fiber typing and fiber CSA assessment. The remaining portions were immediately snap frozen in liquid nitrogen and stored at -80°C until processed for untargeted metabolomics.

Muscle fiber typing

Cryosections of 8 μm were created from the Tissue-Tek® embedded samples from the M. pectoralis, the M. vastus lateralis and the M. semitendinosus and were collected onto Thermo Scientific™ SuperFrost Plus™ Adhesion slides and stored at -20°C until further processing. In brief, the sections were air-dried and then blocked for 120 minutes in 1% BSA in PBS solution. Thereafter, the slides were incubated overnight with the primary antibodies for the different myosin heavy chains, which were validated by Latham & White (2017), for type I, type IIA, type IIX and sarcolemma (respectively BA-D5, DSHB, RRID:AB_2235587; SC-71, DSHB, RRID:AB_2147165; 6H1, DSHB, RRID:AB_1157897 and laminin, Thermo Fisher Scientific Cat: PA1-36119, RRID:AB_2133620) [85]. After rinsing the slides 5 consecutive times during 5 minutes in PBS, they were incubated with the secondary antibodies for 1h at room temperature for type I, IIA, IIX and sarcolemma (respectively: Alexa fluor 488 goat anti mouse IgG2b, Thermo Fisher Scientific Cat: A-21141, RRID:AB_2535778; Alexa fluor 350 goat anti mouse IgG1, Thermo Fisher Scientific Cat: A21120, RRID:AB_2535763; Alexa fluor 594 goat anti mouse IgM, Thermo Fisher Scientific Cat: A-21044, RRID:AB_2535713; Alexa fluor 568 goat anti-rabbit IgG, Thermo Fisher Scientific Cat: A-11011, RRID:AB_143157). Fluorescent mounting medium (Dako, Agilent, S3023) was then applied on the slides. The sections were visualized with a Zeiss Palm Micro Beam fluorescence microscope and pictures were taken with the Zen Blue Pro® Software (Zeiss). On average, 690 fibers were analyzed on each section, with a minimum of 250 fibers and they were classified as type I (green), type IIA (blue), type IIX (red) or as hybrid type when staining for more than one myosin heavy chain was present (Fig 4). In the current study only hybrid type IIA/IIX (IIAX) fibers were included, since the hybrid type I/IIA was only sporadically found (less than 1%). Total fiber count, fiber type percentages, mean fiber cross-sectional area (CSA), as well as fiber CSA of the different fiber types were determined with an automated software analysis program (Image Pro® analyzer software, Media Cybernetics Inc., Rockville, USA).

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Fig 4. Muscle fiber typing with myosin heavy chain staining method.

(A) type I fibers in green; (B) type IIA fibers in blue; (C) type IIX fibers and sarcolemma in red; (D) merged image.

https://doi.org/10.1371/journal.pone.0249922.g004

Untargeted metabolic profiling

The nitrogen frozen muscle samples from the M. vastus lateralis and the M. pectoralis were shipped on dry-ice to Metabolon Inc. (Durham, NC) for untargeted metabolomic profiling using Ultra High Performance Liquid chromatography/Mass Spectrometry/Mass Spectrometry (UHPLC/MS/MS) and Gas chromatography/ Mass Spectrometry (GC/MS) as previously described [86, 87]. The two columns that were used were a C18 column (Waters UPLC BEH C18-2.1x100 mm, 1.7 μm) and a hydrophilic interaction liquid chromatography (HILIC) column (Waters UPLC BEH Amide 2.1x150 mm, 1.7 μm). The extracts were divided into five fractions: two for analysis by two separate reverse phase (RP)/UPLC-MS/MS methods with positive ion mode electrospray ionization (ESI), one for analysis by RP/UPLC-MS/MS with negative ion mode ESI, one for analysis by Hydrophilic Interaction Ultra Performance Liquid Chromatography/Mass Spectrometry/Mass Spectrometry (HILIC/UPLC-MS/MS) with negative ion mode ESI and one sample was reserved as a backup. All methods utilized a Waters ACQUITY ultra-performance liquid chromatography (UPLC) and a Thermo Scientific Q-Exactive high resolution/accurate mass spectrometer interfaced with a heated electrospray ionization (HESI-II) source and Orbitrap mass analyzer operated at 35,000 mass resolution. In total, 36 samples were analyzed and were run in the same batch. Raw data was then extracted, peaks were identified and quality controls (QC) were processed using Metabolon’s hardware and software. Compounds were identified by comparison to Metabolon’s library entries that contain >3300 purified standard compounds. A detailed overview of the analytic procedures is provided in S1 File.

Statistical analysis

Heart rate follow-up.

Data were analyzed using Statistical Analysis System (SAS) version 9.4 for Windows (SAS Institute Inc., Cary, NC). To study the difference in effect of AT versus DT on heart rate parameters a two-sample t-test was used. The effect of 8 weeks of DT and AT on heart rate before and after a training session were analyzed using a paired t-test. Significance was set at p<0.05.

Muscle morphometrics.

Data were analyzed using the Statistical Analysis System (SAS) version 9.4 for Windows (SAS Institute Inc., Cary, NC). The effect of either DT or AT on muscle morphometrics was analyzed using a mixed effects model with horse as a random effect and muscle, body side, location, period and their interactions as fixed effects. Since the interaction between muscle and period was significant, separate mixed effects models with horse as random effect and body side, location, period and their interactions as fixed effects were fitted for each muscle. Non-significant interactions were removed from the model. Significance was set at p<0.05.

Muscle fiber typing.

Different fiber types were counted and classified per type and relative percentages of each type were calculated. Mean CSA was calculated dividing 1 mm2 by number of fibers (in μm2). Furthermore, fiber CSA of all types of fibers separately was determined (in μm2).

Statistical analysis was performed in R (R Core Team, 2019). The results are given as median (minimum-maximum). Significance was set at p<0.05. To compare mean CSA, percentages of fiber types and CSA of each fiber type between muscles, a Kruskal-Wallis test was performed. If this effect was significant, pairwise comparisons between muscle types were tested using a Wilcoxon test on significance level 0.017 (Bonferroni correction for multiple comparisons). For each fiber type of the M. pectoralis, M. vastus lateralis and M. semitendinosus, to test the effect of training on the percentage and the fiber CSA, a Wilcoxon signed rank test was performed.

Metabolomics analysis.

Data were analyzed using R (version 2.14: www.r-project.org). The present dataset comprises a total of 493 compounds of known identity. Following log transformation and imputation of missing values by the minimum observed value for each compound, ANOVA contrasts, a paired t-test and Welch’s two-sample t-tests were performed to identify biochemicals that differed significantly before (untrained horses) and after training (after dry treadmill training DT) in the M. pectoralis and M. vastus lateralis of Friesian horses. Significance was set at p<0.05. The false discovery rate (q-value) was used to address the multiple comparisons.

Results

Heart rate follow up

Daily routine check-ups for vital signs were uneventful in both trials. The resting heart rate was significantly higher in the AT group versus DT group before the training period of 8 weeks (37.2 ± 1.30 versus 30.6 ± 1.95; p<0.0001) and after the training period of 8 weeks (36.2 ± 3.74 versus 31.4 ± 2.76; p = 0.0121). In addition, when looking at the heart rate measured after a training session, AT sessions significantly increased heart rate more than DT sessions, and this applied to the measurements both before and after the 8 weeks training period (week 0: 41.8 ± 3.19 versus 32 ± 0; p<0.0001; week 8: 37 ± 3.74 versus 30.9 ± 1.95; p = 0.0019).

A significant increase in heart rate was found directly after AT when compared to the resting heart rate in the unconditioned horses (37.2 ± 1.30 before the AT session versus 41.8 ± 3.19 after the AT session; p = 0.0095). After 10 minutes, heart rate went back to resting values again. However, after 8 weeks of training, the increase in heart rate directly after exercise was not significant anymore (36.2 ± 3.49 before the AT session versus 37.0 ± 3.74 after the AT session).

DT did not significantly change the resting heart rate, nor the heart rate after a training session and this applied to the start (week 0) and finish (week 8) of the training trial.

Longitudinal follow-up of muscle morphometrics

Dry treadmill training.

Predominantly muscles of the forehand increased in muscle diameter. Muscle groups of the hindquarters showed a decrease in muscle diameter. For a clear overview, see Fig 5 and Table 1. The maximal effect of training, which is expressed by either increase or decrease in muscle diameter, was already reached after 4 weeks of training in 7 of the monitored muscles.

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Fig 5. Overview of changes in muscle diameter after 8 weeks of dry treadmill training and 8 weeks of aquatraining.

Green: significant decrease in muscle diameter (p<0.05); Red: significant increase in muscle diameter (p<0.05); Yellow: significant increase in muscle diameter right side > left side (p<0.05); Blue: significant increase in muscle diameter left side > right side (p<0.05). (A) Dry treadmill training; (B) Aquatraining.

https://doi.org/10.1371/journal.pone.0249922.g005

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Table 1. Results of the muscle morphometric study.

Evolution of muscle diameter after dry treadmill training and aquatraining.

https://doi.org/10.1371/journal.pone.0249922.t001

Aquatraining.

Predominantly muscles of the hindquarters increased in muscle diameter and also several muscle groups of the forehand showed a significant increase in muscle diameter. Also for this training type, the maximal effect was reached already after 4 weeks of training in 6 of the monitored muscles. For a clear overview, see Fig 5 and Table 1. Interestingly, the triangular shaped muscles semitendinosus and semimembranosus showed an asymmetric increase of muscle diameter depending on the measured location (see Fig 3 for an overview of the measured locations) and in both muscles, location 3 (depth at the most distal part of the muscle, see Fig 3B) showed the smallest increase.

Muscle fiber type composition of different muscle groups and shifts in response to 8 weeks of dry treadmill training

Differences in muscle fiber type composition, mean CSA and fiber CSA of different muscle groups in untrained Friesian horses.

Both M. pectoralis and M. vastus lateralis have a similar composition, whereas the M. semitendinosus contained significantly less type I fibers when compared to the M. pectoralis (p = 0.0111) and the M. vastus lateralis (p = 0.0174). Both M. pectoralis and M. vastus lateralis contained almost 75% fast twitch fibers (Fig 6).

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Fig 6. Muscle fiber type composition of M. pectoralis, M. vastus lateralis and M. semitendinosus of untrained Friesian horses.

Results are percentages and are given as median (minimum-maximum).

https://doi.org/10.1371/journal.pone.0249922.g006

Mean CSA of M. pectoralis was significantly larger than that of the M. vastus lateralis (respectively 6024 μm2 (range: 4524–7894 μm2) and 3644 μm2 (range: 3225–4528 μm2) p = 0.0011), but was not significantly different from the M. semitendinosus. The mean CSA of M. semitendinosus was also significantly larger than that of the M. vastus lateralis (respectively 4909 μm2 (range: 3644–5907 μm2) and 3644 μm2 (range: 3225–4528 μm2), p = 0.0262).

When looking at fiber CSA of the different fiber types, these were quite similar for M. pectoralis and M. semitendinosus (Fig 7), however fiber CSA of type I fibers was significantly larger in the M. pectoralis than in the M. vastus lateralis (respectively 4670 μm2 (range: 2737–5920 μm2) versus 2465 μm2 (range: 1883–3236 μm2); p = 0.0069).

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Fig 7. Cross sectional area of type I, IIA, IIAX and type IIX muscle fibers in different muscles.

Results are given as median (minimum-maximum) in μm2.

https://doi.org/10.1371/journal.pone.0249922.g007

Shifts in muscle fiber type composition, mean CSA and fiber CSA in M. pectoralis, M. vastus lateralis and M. semitendinosus in response to 8 weeks of DT.

After 8 weeks of DT, there were significant shifts in muscle fiber type composition in the M. pectoralis and M. vastus lateralis, but not in the M. semitendinosus.

The M. pectoralis showed a significant increase in expression of type I muscle fibers (p = 0.0156) whereas M. vastus lateralis showed a decreased proportion of type I fibers in response to 8 weeks of DT (p = 0.0153) (Fig 8).

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Fig 8. Effect of dry treadmill training on muscle fiber type composition and cross sectional area (CSA).

Effect of 8 weeks of DT on muscle fiber type composition and CSA of the different muscle fibers was measured in the M. pectoralis, M. vastus lateralis and M. semitendinosus at rest in unconditioned state (untrained) and after 8 weeks of DT (trained) in Friesian horses.

https://doi.org/10.1371/journal.pone.0249922.g008

When looking at fiber CSA of each individual fiber type, there was no effect of training on the CSA of the different fiber types (Fig 8).

A significant decrease in mean CSA of the M. pectoralis, which increased in muscle diameter, was seen after 8 weeks of DT (from 6024 μm2 (range: 4524–7895 μm2) to 3692 μm2 (range: 3349–4761 μm2); p = 0.0312) (Fig 9).

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Fig 9. Effect of dry treadmill training on mean cross sectional area (CSA).

Effect of 8 weeks of DT on mean CSA was measured in the M. pectoralis, M. vastus lateralis and M. semitendinosus at rest in unconditioned state (untrained) and after 8 weeks of DT (trained) in seven Friesian horses.

https://doi.org/10.1371/journal.pone.0249922.g009

Evolution of muscle metabolomics throughout 8 weeks of DT

The biochemical profile of 493 different metabolites could be identified. The principal component analysis (PCA) for the detected peaks are shown in Fig 10. Before training, a distinction between both muscle groups can be made. Eight weeks of DT induces a significant shift in metabolic profile of both muscle groups in the same direction. Clustering is much more pronounced after 8 weeks of DT. A significant fold change was detected in respectively 108 metabolites in the M. pectoralis and 114 metabolites in the M. vastus lateralis and 39 metabolites were significantly changed in both muscles in response to exercise, which represents 18% overlap.

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Fig 10. Principal component analysis (PCA) of metabolomic datasets.

PCA was performed on the M. pectoralis and the M. vastus lateralis of untrained and dry treadmill trained Friesian horses.

https://doi.org/10.1371/journal.pone.0249922.g010

The fatty acid oxidation pathway is significantly upregulated in predominantly the M. pectoralis in response to 8 weeks of DT.

A wide array of β-oxidation pathway intermediates were significantly altered by DT (Table 2: Lipid metabolism, Fig 1). Especially in the M. pectoralis, a significant decrease in long chain fatty acids (0.2- to 0.7-fold) and in polyunsaturated fatty acids (PUFAs) (0.2- to 0.67-fold) could be seen after 8 weeks of DT. This was less pronounced for the M. vastus lateralis. Levels of inflammatory mediators such as n-6 PUFAs (poly unsaturated fats: arachidonate (0.51 fold), linoleate (0.38 fold) and dihomolinoleate (0.40 fold)) and lipid peroxidation (4-hydroxyl-nonenal-gluthatione (0.32-fold) and hydroxy-octadeca-dienoic acids 13-HODE+9-HODE (0.27-fold)) products were significantly decreased in response to 8 weeks of DT in the M. pectoralis. No significant changes in the levels of these inflammatory mediators were detected in the M. vastus lateralis (Table 2: Lipid metabolism).

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Table 2. Metabolic heatmap of the M. pectoralis and M. vastus lateralis.

https://doi.org/10.1371/journal.pone.0249922.t002

No significant changes in short chain fatty acids such as butyrate and valerate could be detected in both muscle groups. In both M. pectoralis and M. vastus lateralis, a significant upregulated activity at the level of long chain acylcarnitine metabolism was seen after 8 weeks of DT (1.35–1.21 fold), whereas a downregulation of short- and medium chain acylcarnitines was found in both muscle groups.

The carbohydrate metabolism pathway is significantly upregulated in response to 8 weeks of DT in the M. vastus lateralis, not in the M. pectoralis.

No significant fold changes in carbohydrate metabolism activity could be detected in the M. pectoralis after training. On the other hand, in the M. vastus lateralis a clear upregulation of carbohydrate metabolism pathways could be seen (Table 2: Carbohydrate metabolism: Glycolysis, gluconeogenesis and pyruvate metabolism; Glycogen metabolism pathway). A significant increase in glycogen breakdown intermediates such as maltotriose (1.88 fold) and maltose (2.16 fold) in combination with an increase in early-stage glycolytic intermediates such as glucose (2.42 fold), glucose-6-phosphate (1.76 fold), fructose-6-phosphate (1.70 fold) and a decrease in intermediate stage glycolytic intermediates such as (glycerate, 3-phosphoglycerate, PEP and fructose 1,6-diphosphate, respectively 0.52 fold; 0.11 fold; 0.07 fold; 0.54 fold) indicate an upregulation of glycogenolytic and glycolysis pathways (Fig 1). Likewise, lactate (2.73 fold) and pyruvate (3.01 fold) were significantly increased after 8 weeks of DT.

TCA cycle was significantly upregulated in the M. pectoralis when compared to the M. vastus lateralis in response to 8 weeks of DT.

In the M. pectoralis, in conjunction with the previously mentioned upregulation of fatty acid metabolism, there was a significant upregulation of the TCA cycle, which oxidizes acetyl-CoA derived from the aerobic glycolysis and the β-oxidation (Table 2: TCA cycle, DT/untrained; M. pectoralis/M. vastus lateralis; Fig 1). This upregulation was visible across most TCA cycle metabolites.

The pentose phosphate pathway (PPP) was significantly upregulated in response to 8 weeks of DT in the M. vastus lateralis

The PPP pathway, which is a metabolic pathway parallel to glycolysis (Fig 1) remained almost unchanged in the M. pectoralis, however, was significantly upregulated in the M. vastus lateralis (Table 2: Carbohydrate metabolism: Pentose phosphate pathway). The intermediates covering the full pathway of the cycle, such as 6-phosphogluconate (1.47 fold), ribose-5-phosphate (1.32 fold) and ribulose/xylulose-5-phosphate (4 fold) were significantly increased in the M. vastus lateralis after 8 weeks of DT.

Amino acid metabolism was significantly upregulated in response to 8 weeks of DT.

BCAA metabolism was significantly upregulated in the M. vastus lateralis in response to 8 weeks of DT. No significant changes were detected in the BCAA metabolism (leucine, isoleucine and valine) in the M. pectoralis, however, there was a significant increase in several different BCAA metabolites, more specifically BCAA dipeptides, in the M. vastus lateralis after 8 weeks of DT (Table 2: Amino acid metabolism: Proteinogenic BCAAs): glycylleucine (1.88 fold), glycylvaline (2.20 fold), leucylglycine (1.58 fold) and valylleucine (1.63 fold), indicating increased BCAA anabolism (Fig 2).

Aromatic amino acid (AAA) metabolism was significantly upregulated in both M. pectoralis and M. vastus lateralis in response to 8 weeks of DT. The essential AAAs phenylalanine and histidine showed very little significant changes in response to 8 weeks of DT. Carnosine, a dipeptide derived from histidine and β-alanine, showed a significant upregulation in response to 8 weeks of DT in both M. pectoralis and M. vastus lateralis (respectively 1.44 and 1.40 fold increase).

Tryptophan showed a nearly significant increase in both M. pectoralis (1.19 fold) and a significant increase in the M. vastus lateralis (1.24) in response to 8 weeks of DT. This was associated with a significant decrease in tryptophan betaine (respectively 0.52 and 0.39 fold). Also, tyrosine metabolism was significantly upregulated in both muscles, for example p-cresol-glucuronide (respectively 2.69 and 2.91 fold increase) and 3-methoxythyrosine (respectively 1.81 and 1.78 fold increase) (Table 2: Amino acid metabolism: Aromatic amino acids).

Glutamine/glutamate metabolism was significantly upregulated in the M. pectoralis, not in the M. vastus lateralis after 8 weeks of DT. Glutamate is known to be an important metabolic hub for synthesis of various amino acids, nucleic acids, nucleotides and co-factor biosynthesis. Glutamine (1.46 fold) and glutamate (1.19 fold), together with other metabolites of the glutamine/glutamate metabolism (i.e. N-acetylglutamine, N-acetyl-aspartyl-glutamate (NAAG)), were significantly upregulated in the M. pectoralis after 8 weeks of DT (Table 2, Amino acid metabolism: Glutamate metabolism; Fig 1).

Glycine and serine metabolism were significantly upregulated in response to DT in both M. pectoralis and M. vastus lateralis. Glycine metabolism is importantly involved in production of specialized molecules such as heme, purines and creatine and it is a key building block of collagen. Both glycine (0.79 fold) and acetyl-glycine (0.78 fold) were significantly decreased in the M. pectoralis after 8 weeks of DT, whereas a significant increase in intermediates of glycine metabolism, including sarcosine, betaine and serine was seen in both muscle groups after 8 weeks of DT (2.22 fold, 1.45 fold and 1.49 fold in the M. pectoralis respectively and 3.10 fold, 1.47 fold, 1.89 fold in the M. vastus lateralis) (Table 2, Amino acid metabolism: Glycine, serine and threonine metabolism).

The cysteine, methionine and taurine metabolism showed differential changes in response to 8 weeks of DT. Cysteine is a non-essential amino acid that is required for protein synthesis and for synthesis of non-protein compounds such as taurine, co-enzyme A, etc. Methionine is involved in folate metabolism, nucleotide synthesis and control of redox status. Cysteine metabolism intermediates were upregulated in M. pectoralis after 8 weeks of DT and showed a fold increase of 1.52 for S-methylcysteine and 1.66 for S-methylcysteine sulfoxide. In the M. vastus lateralis, cysteine increased 1.44 fold and methylcysteine sulfoxide 1.96 fold.

Methionine metabolism was upregulated in both M. pectoralis and M. vastus lateralis. Intermediates of methionine metabolism S-methylmethionine increased respectively 1.68 and 1.25 fold, methionine sulfone 1.54 and 1.29 fold and S-adenosylmethionine (SAM) a 1.44 and 1.59 fold. Methionine was unchanged in the M. pectoralis but increased 1.13 fold in the M. vastus lateralis.

Taurine was significantly increased in the M. pectoralis (1.28 fold) and significantly decreased in the M. vastus lateralis (0.77 fold) and hypotaurine and N-acetyltaurine, which remained unchanged in the M. pectoralis, decreased significantly in the M. vastus lateralis (respectively 0.77 and 0.41 fold) (Table 2: Amino acid metabolism: Methionine, cysteine, SAM and taurine metabolism).

Proline and arginine metabolism were significantly upregulated, especially in M. pectoralis, after 8 weeks of DT. Ornithine increased in the M. pectoralis and M. vastus lateralis, respectively 2.02 and 1.33 fold; citrulline was unchanged in the M. pectoralis and increased 1.11 fold in M. vastus lateralis; arginosuccinate increased 1.77 fold in the M. pectoralis and remained unchanged in the M. vastus lateralis. In the M. pectoralis, intermediates of arginine and ornithine metabolism increased significantly in response to 8 weeks of DT: respectively homoarginine 1.78 fold, dimethylarginine 1.26, N-acetylarginine 1.59 and N-delta acetylornithine 1.39 fold increase. The intermediate homoarginine increased a 1.53 in the M. vastus lateralis, whereas the intermediate homocitrulline decreased a 0.64 fold (Table 2: Amino acid metabolism: Arginine, ornithine and proline metabolism).

Proline increased significantly in both muscles in response to DT (1.16 fold in M. pectoralis and 1.39 fold in M. vastus lateralis) and N-methylproline increased in M. pectoralis (1.31 fold) but not in M. vastus lateralis.

Glutathione metabolism was altered in both muscle groups in response to 8 weeks of DT.

Interestingly, levels of oxidized glutathione (GSSG) were significantly increased in M. pectoralis (1.74 fold) in response to DT, but not in M. vastus lateralis. This was accompanied by an increased level of 5-oxoproline (1.57 fold), a degradation product of GSH. Levels of reduced glutathione (GSH) tended to increase in both muscle groups after 8 weeks of DT (respectively 1.60 in M. pectoralis and 1.57 fold in M. vastus lateralis). At last, it is clear that DT impacted the M. vastus lateralis more than the M. pectoralis, since almost all intermediates of glutathione metabolism increased significantly when comparing trained (DT)/untrained M. vastus lateralis over M. pectoralis (Table 2: Amino acid metabolism; Glutathione metabolism).

Discussion

Training of horses is still done quite empirically, which is not always favorable for both the horse and the horse owner. This is the first study to apply a standardized multi-modal approach combining longitudinal follow-up of muscle diameter, muscle fiber type composition and untargeted muscle metabolomics in a set of strategically chosen muscles. The study creates a reference baseline for future training studies, working towards the creation of optimally efficient, effective and breed specific and discipline-specific training programs. Thanks to the multi-modal approach a first glimpse is obtained on the interaction between training, muscle plasticity and training-induced shifts in muscle metabolism. It was chosen to apply untargeted metabolomics because it allows for obtaining a thorough 360° view on muscle metabolism in all its diversity and not only focusing on the “well known” energy pathways. This is the first equine study to apply untargeted metabolomics and combining it with longitudinal follow-up of muscle morphometrics and muscle fiber typing.

Heart rate

AT induced more effects on heart rate compared to DT, and this is in accordance with Greco-Otto et al. (2017) who reported similar findings in Quarter horses. Apparently, AT represents a more important training load, at least with the currently applied training protocol, when compared to DT [80]. This is confirmed by the evolution of a decreased heart rate seen after acute AT sessions after conditioning for 8 weeks. For DT, no effect was seen, neither before or after 8 weeks of training, nor before or after a training session. One of the possible explanations could be the rather low intensity of DT.

Muscle diameter

When looking at both training techniques, AT has a much more generalized pronounced effect on muscle growth and this is most pronounced for the muscles of the hindquarters, though also muscles of the forehand are influenced. DT on its turn predominantly modulates muscles of the forehand, though to a much lesser extent. From a kinematic point of view, AT induces hypertrophy of muscles involved in elevation and forward movement of the forelimb, flexion of the hind limb and muscles used for creating a more ‘upright’ position [88]. DT, on its turn, modulates forehand muscles involved in abduction, forward movement and suspension of the forelimbs and decreases the diameter of muscles of the hind limbs involved in straightening the hip, knee and hock joint, straightening of the back and flexion of the knee. At first sight, it seems atypical that some muscles of the hind limbs such as M. vastus lateralis and M. semitendinosus decrease in muscle diameter in response to DT, but when looking at mean CSA of these muscles, no significant change is seen after DT. It can thus be concluded that this is not a decrease in muscle diameter per se, but rather a relative decrease in muscle diameter most probably due to a reduction of intramuscular adipose tissue depots. Indeed, when measuring muscle diameter with ultrasound, intramuscular fat is also taken into account and thus influences the measured diameter [89]. Application of ultrasound for longitudinal follow-up of muscle diameter obviously has its shortcomings. However, unlike in human, in horses it is practically impossible to apply repetitive CT scan follow-up for this purpose, since it would require general anesthesia on each occasion and on top of that the horses’ core body and legs above knee and elbow do not fit inside the largest bore CT scanners. Several studies have discussed the reducing effect of exercise on intramuscular adipose tissue depots and its enhancing effect on insulin sensitivity in humans, dogs and horses [9095]. However, none of these studies has additionally involved evolution of muscle fiber CSA. Several studies have reported on the presence of a fair amount of intramuscular fat in equine muscles [96, 97].

Maximal effect of training on muscle diameter.

In the current study, muscle diameter measurements were performed in the beginning of the study, after 4 and after 8 weeks of training to obtain a better view on when maximal morphometric effects are reached. As mentioned previously, AT had a much more pronounced overall muscle modulating effect when compared to DT and this was seen throughout the entire training period of 8 weeks, during which the intensity and duration of exercise remained unchanged. Maximal growth was reached in 7 and 6 muscle groups in answer to respectively DT and AT after already 4 weeks of training. This is crucial information to set up optimal efficient and cost efficient training protocols, and therefore, it can be suggested that exercise intensity and/or duration should be increased after 4 weeks of this type of exercise.

Muscle fiber type composition

Effect of muscle.

Horses are known to contain more fast twitch than slow twitch fibers and this was reflected in all muscle biopsies in this study, with type IIA being identified as predominant fiber type. When looking at muscle fiber type composition, important differences were seen between the three biopsied muscles. The M. pectoralis and M. vastus lateralis are very alike with respect to fiber type composition, however, the M. semitendinosus contains a significant lower amount of type I fibers (15%) when compared to the M. pectoralis and M. vastus lateralis. Physiologically, differences in fiber type composition between muscles can be attributed to differences in their physiological function. It has been shown that postural muscles contain a greater amount of small aerobic slow twitch type I fibers, whereas locomotor muscles are mainly composed of fast twitch either aerobic (type IIA or type IIX) or anaerobic (type IIB) muscle fibers [98100] and in between these two archetypes there is of course a wide range of distribution options possible depending on the fact whether a certain muscle has a more posture like versus locomotion like function. As mentioned previously, before training, both M. pectoralis and M. vastus lateralis showed a similar muscle fiber type composition. In view of the identified muscle fiber type distributions it can be envisioned that both M. pectoralis and M. vastus lateralis cover besides their predominant locomotor function, also a postural role, which is not the case for the M. semitendinosus. This is supported by Payne et al. (2005) who ascribe an important role to the M. pectoralis in the adduction and stabilization of the forelimb and for the M. vastus lateralis an important role for extension of the stifle. The M. semitendinosus on its turn, has a role in extension of the hip during stance, flexion of the stifle and extension of the hock during swing, which shows that this muscle is pure locomotor and explains why this muscle has a greater amount of fast twitch fibers [101, 102].

The mean CSA provides a view on the average muscle fiber size, across all fiber types. In our study, the mean CSA of the M. pectoralis and M. semitendinosus were similar and were greater than the mean CSA of the M. vastus lateralis. Furthermore, fiber CSA of type I fibers was larger in the M. pectoralis when compared to the M. vastus lateralis. It would be interesting to investigate whether this coincides with a more pronounced basic storage capacity for energy reserves in these muscles. For example, it was shown by a study of Jaworowski et al., (2002) that the activity of lactate dehydrogenase and phosphofructokinase, two important enzymes for the glucose metabolism, were correlated with CSA of type II fibers [103].

Effect of training.

Training clearly affects both fiber type composition and mean CSA of different muscles. Despite the fact that the M. pectoralis and M. vastus lateralis have comparable muscle fiber type compositions, they show a different shift in fiber type composition in response to the same DT protocol. Type I fibers significantly increased in the M. pectoralis in response to 8 weeks of DT, whereas they significantly decreased in the M. vastus lateralis. This can be explained by the fact that DT challenges these muscle groups in a different way. In general, low intensity exercise will induce shifts in muscle fiber types more from IIX to IIA and from IIA to type I and this has been shown in different species, such as rats [104], mice [105] and horses [38, 106, 107]. Several studies have looked into the effect of treadmill exercise on muscle fiber type composition in horses, but results were equivocal due to differences in applied training protocols, differences in biopsied muscles, age and breed of the enrolled horses. Some studies found no change in muscle fiber type composition [108, 109], whereas other studies did describe shifts in muscle fiber type composition [49, 110]. Hodgson et al. (1985) published a study of 4 horses trained on a treadmill for 7 weeks. They applied training sessions consisting of 1 min at 110 m/min followed by 5 min at 200 m/min. The second training interval was gradually increased each week until 12 min duration. No significant changes in muscle fiber type composition of the M. gluteus medius could be detected, nor were there changes in capillary content of muscle fibers [108]. Likewise, Essén-Gustavsson (1989) reported no change in muscle fiber type composition after 5 weeks of high speed treadmill training in the M. gluteus medius. However, they did detect a significant decrease in the CSA of type IIA fibers and a significant increase in capillary density, which matches with an increase in aerobic capacity [109].

When looking at evolution of mean CSA across muscle fibers, in the current study, it decreased significantly in response to training only in the M. pectoralis. The fiber CSA of the different fiber types remained unchanged with training in all 3 muscle groups. It has been shown that there is an inverse relationship between fiber CSA and maximal oxygen consumption [111, 112]. Therefore, these results suggest that DT has an important oxidative modulating effect on the M. pectoralis, probably by imposing “endurance like” exercise on that muscle group, whereas the M. vastus lateralis is most probably more subjected to “power training” during DT. At first sight it seems not logical that de M. pectoralis increases its oxidative capacity through an increased amount of type I fibers and at the same time importantly increases its muscle diameter, an effect that is expected to occur in response to power training. On the other hand the M. vastus lateralis decreased its aerobic capacity, since type I fibers decreased, however decreased muscle diameter at the same time. When looking at mean CSA of muscle fibers, we can see that it decreased after DT in the M. pectoralis. The event of muscle growth associated with a decrease in mean CSA supports occurrence of muscle hyperplasia [113117] and upregulation of oxidative metabolic machinery [118]. Indeed, small fibers are associated with a higher partial pressure of oxygen, and thus aerobic processes can easily take place in these fibers [118]. Although the M. vastus lateralis decreased in muscle diameter, the mean CSA did not change in response to DT. Therefore, the decrease in muscle diameter should not be viewed as muscle atrophy, however rather as the consequence of disappearing intramuscular fat stores. The evolution in muscle fiber type composition shows that DT induces a shift in phenotype that resembles power training in the M. vastus lateralis, which coincides with the upregulation of the glycolytic machinery identified with untargeted metabolomics in the current study.

Up till now, there are no data available on the minimum training duration required to induce shifts in muscle fiber type composition in horses. A study of Eto et al. (2004) could not detect significant changes in myosin heavy chain composition after 12 weeks of high intensity training of Thoroughbred horses [119]. But 16 weeks seemed to be enough to effectively decrease type IIX and increase type IIA fibers in Thoroughbred horses [39]. It is important to keep in mind that shifts in muscle fiber type composition are expected to be accompanied with shifts in the metabolic fingerprint of a certain muscle, although obviously, from a physiological point of view it can be assumed that metabolic shifts precede muscle fiber type shifts, which means that even if fiber type composition of a muscle does not change visually with the conventional immunohistochemical myosin heavy chain staining protocol, the shift in metabolic machinery most probably has already taken place. It can be expected that both of them do not reach their optimal configuration at the same time, however, the time lag between both phenomena is unknown.

The effect of 8 weeks of DT on muscle metabolic profile of M. pectoralis and M. vastus lateralis

The currently widely applied conventional tools to obtain a view on the physiological adaptations of the equine muscle to training, such as muscle fiber typing, assessment of glycogen content and enzymatic activity, all have well recognized limitations [111, 120, 121]. The current study has revealed the involvement of several unnoticed metabolites that deserve future attention in horses, such as acylcarnitines, BCAAs, AAAs and specifically for the Friesian breed: glycine and proline metabolism.

Corresponding to the different muscle fiber type shifts seen in the current study for the M. pectoralis and the M. vastus lateralis in response to training, different metabolic shifts were also observed for both monitored muscles. It is important to realize that the current study pertained to resting biopsies and that no biopsies were harvested after acute exercise. These results represent thus “a local view” in a “local muscle”. In general, the machinery for fatty acid oxidation was significantly upregulated in the M. pectoralis that also showed plasticity towards a more pronounced slow twitch profile in response to 8 weeks of DT; versus a significant increased readiness of the machinery for glycolysis, pentose phosphate pathway activity and BCAA catabolism that was seen in the M. vastus lateralis, which showed plasticity towards a more pronounced fast twitch profile. Important to notice is the lack of change in short chain fatty acid metabolism and the modest change in glycogen metabolism pathway only in the M. vastus lateralis. Below, a detailed overview is provided, each time focusing on a specific metabolic pathway, looking into the effect of 8 weeks of DT, followed by comparing both M. pectoralis and M. vastus lateralis.

Fatty acid oxidation is significantly upregulated in response to 8 weeks of DT in the M. pectoralis.

Fatty acid metabolism entails on one hand catabolic processes that generate ATP, and on the other hand anabolic processes that generate important molecules such as phospholipids that are important building blocks for all cell membranes, second messengers, local hormones and ketone bodies. In the current study the fatty acid oxidation (catabolism) pathway was significantly upregulated in response to 8 weeks of DT in the M. pectoralis. This was significantly less pronounced in the M. vastus lateralis. Lipids, which are predominantly stored in fat depots inside the body, are composed of one glycerol molecule and three free fatty acid molecules. These free fatty acids can be either labeled as short chain fatty acids (their aliphatic tail contains less than 5 carbons); medium chain (contain in between 6 and 12 carbons) or long chain (contain 13 to 21 carbons).

It is well known that fatty acids generate the largest amount of ATP, when compared to other fuels such as carbohydrates, proteins and ketones. Indeed, one mole of carbohydrates yields 36 to 38 moles of ATP, whereas, depending on the type of fatty acids involved, one mole can yield more than 450 moles of ATP [122]. Due to the complexity of the oxidative burning of fats, this pathway does not generate ATP at high speed, that is why it can only provide ATP for realization of low grade exercise of long duration, in other words, aerobic exercise. This is because oxidative burning of fats encompasses several different successive steps (Fig 1). First the fatty acids need to be “activated” by coupling them to acetyl-CoA in the cytosol of the muscle cell. Thereafter, they are shuttled by acylcarnitines through the inner and outer membrane of the mitochondria, right into the mitochondrial matrix [123, 124]. Inside the mitochondrial matrix, first β-oxidation takes place, yielding acetyl-CoA that is subsequently drawn into the TCA cycle. The TCA cycle produces FADH2 and NADH + H+, which are subsequently drawn into the electron transfer system to produce a large amount of ATP. After 8 weeks of DT, multiple long chain fatty acids (LCFAs) were significantly decreased in the M. pectoralis (i.e. saturated fatty acids palmitate, stearate, arachidate; and unsaturated fatty acids palmitoleate, 10-heptadecenoate) together with a significant increase in long chain acylcarnitines, which are the carnitine-bound forms of LCFAs necessary for the transport of LCFAs into mitochondria, demonstrating upregulation of fat oxidation pathways. These findings are in accordance with a study of Garvey et al. (2015) that applied untargeted metabolomics on soleus and plantaris muscle of rats after 8 weeks of voluntary treadmill running. They found a significant reduction in LCFAs and a significant increase in acylcarnitines [21]. In contrast, Klein et al. (2020) found both increased LCFA content and increased long chain acylcarnitines in the M. gluteus medius of horses after an aerobic training period of 12 weeks [23]. Our study results show that the full β-oxidation machinery of the M. pectoralis has been lifted to a higher level of readiness, after 8 weeks of DT. In humans, it has also been shown that decreased concentrations of LCFAs in the skeletal muscles are associated with higher levels of insulin sensitivity and an increased glycogen storage capacity [125, 126]. The significant increase in type I muscle fibers, together with the significant decrease of mean CSA seen in the M. pectoralis after 8 weeks of DT, are in line with these results. Type I fibers are well known for their profound aerobic capacity and rely thus entirely on aerobic pathways such as β-oxidation to generate energy (Fig 1).

Only long chain (LCFAs) and no medium chain fatty acids (MCFAs) were found in the present study, which is in accordance with two other studies that looked into fat composition of equine muscles, in which they could not find MCFAs and concluded that fat of equine muscle is made predominantly out of LCFAs C16 and C18 [96, 127]. Important to notice is that no significant changes were detected in the level of the short chain fatty acids (SCFAs) such as butyrate and valerate. This brings to question whether these are important fuels for horses. Also, in the study of Klein et al. no changes in SCFA levels could be detected [23]. Several equine studies have suggested in the past that SCFAs most probably account for 70 to 80% of energy needs [128130]. However, based on the current study results, one could question this from a physiological point of view. In ruminants, SCFAs produced by ruminal flora, are the most important energy source [131], however, in horses, most probably this is not the case and other microbiome related xenobiotic metabolites may be of much greater importance to fuel the TCA cycle. It could be an option, for example, that BCAAs are produced by the intestinal flora in horses [23, 132]. Indeed, recent findings have demonstrated a positive correlation between microbiome composition and BCAA blood levels in both humans [133] and horses [132].

Glycolytic pathways were significantly upregulated in response to 8 weeks of DT in the M. vastus lateralis.

In line with the decrease in type I muscle fibers seen in the M. vastus lateralis after 8 weeks of DT, metabolomics show a significant upregulation of the anaerobic glycolytic machinery in that muscle. Glycolysis is the first step that takes place in the carbohydrate catabolism in the cytosol of the muscle cell (Fig 1). Glycogen, that functions as a carbohydrate storage fuel inside the cytosol, is broken down up until the level of pyruvate, rendering rather low amounts of ATP. For reference, the conversion of 1 mole of glucose into pyruvate yields 2 moles of ATP [122]. When anaerobic metabolism prevails, pyruvate will not be drawn into the mitochondria to step into the TCA cycle and produce important amounts of ATP; instead, the pyruvate is converted to lactate by the enzyme lactate dehydrogenase (LDH). The anaerobic glycolysis can deliver quickly ATP necessary for explosive exercise, however, this motor can only function for a short amount of time, since it swiftly consumes all stored glycogen and it coincides with the accumulation of lactate. Metabolomics show upregulation of glycogen breakdown products and upregulation of both early (glucose, glucose-6-phosphate and fructose-6-phosphate) and late-stage (pyruvate and lactate) glycolytic intermediates (Fig 1). Especially the pyruvate increase of 3.01 fold was quite striking. Part of the pyruvate will be transaminated to alanine, which is also in line with the significant increase in alanine seen in the M. vastus lateralis. The TCA cycle was not upregulated and lactate levels were increased, all of which support the upregulated anaerobic machinery of the M. vastus lateralis in response to 8 weeks of DT. All of this was not seen in the M. pectoralis muscle.

TCA cycle was upregulated in M. pectoralis after 8 weeks of DT.

When comparing trained (DT)/untrained metabolomics profile of the M. pectoralis to the M. vastus lateralis, almost all intermediates of the TCA cycle were increased, which is in line with the upregulation of β-oxidation of fats that produces acetyl-CoA, which on its turn is drawn into the TCA cycle. This is not the case for the M. vastus lateralis. Still, there are two metabolites of the TCA cycle that are significantly increased in both M. pectoralis and M. vastus lateralis to quite an extent, namely succinylcarnitine and 2-methylcitrate. It is possible that the TCA cycle is “fed” by other products than pyruvate that jump into the cycle at steps further downstream from acetyl CoA and not at the top, which is the obvious port of entry for pyruvate. A possible candidate for such scenario are the BCAAs and other microbiome derived xenobiotics (Fig 1) [23, 132, 134136]. It is well known that BCAA are catabolized, especially during exercise, to acetyl-CoA and/or succinyl-CoA, which supply the TCA cycle [23, 135, 137]. BCAAs serve thus as energy sources and substrates to expand the pool of TCA cycle intermediates [135]. Microbiome derived xenobiotics could be as well a possible candidate, since evidence exists showing that gut microbiome composition can influence the structure, function and energy expenditure of muscles [134]. However, how these xenobiotics reach the muscles and how their catabolism takes place has still to be unraveled.

From a physiological point of view these alternative fuels, feeding the TCA cycle, or even directly feeding the OXPHOS system [138], are expected to be processed very quickly since they do not surpass all cycle stadia and they are expected to be glycogen sparing as has been shown for BCAAs in several studies [139142]. Most probably these fuels fit best with oxidative fast twitch type IIA fibers, the predominant muscle fiber type of horses. Important to notice is the modest change in the glycogen metabolism pathway and even only in one muscle group (M. vastus lateralis) in response to 8 weeks of DT. Even if the training protocol used in this study was not sufficient to induce glycogen depletion, these results bring to question as to whether glycogen needs to be viewed as the most important energy source in horses. In contrast to human who need 24h to replenish their muscle glycogen content, horses need 48 to 72h. Physiologically this does not comply with what would be expected from an essential energy source [24].

The pentose phosphate pathway (PPP) was significantly upregulated in response to 8 weeks of DT in the M. vastus lateralis.

The PPP takes place in the cytosol and has several different functions (Fig 1). From a phylogenetic point of view it is very old and probably dates back to the prebiotic world. It contains two distinct phases: a first oxidative phase, which is irreversible and results in the production of NADPH. One of the main goals of NADPH in the cell is to reduce oxidative stress via reduction of glutathione. Besides that, NADPH oxidizes pyruvate to malate, which is an intermediate of the TCA cycle. NADPH is also involved in fatty acid synthesis. The second step of the PPP is the non-oxidative production of ribose-5-phosphate necessary for production of nucleotides, nucleic acids and recycling back to fructose-6-phosphate; the latter can be drawn into the anaerobic glycolysis cycle and produces erythrose-4-phosphate necessary for the production of AAAs. Especially ribulose/xylulose-5-phosphate and fructose-6-phosphate were significantly upregulated in the M. vastus lateralis to a striking extent (respectively 4.00 fold and 1.70 fold). This was not the case for the M. pectoralis. Whether or not the PPP plays an important role as additional cycle to fuel the anaerobic glycolysis by furnishing it with fructose-6-phosphate, is not known in horses. In humans and rats, the PPP has a predominant anabolic function and is especially active in tissues with rapidly dividing cells such as bone marrow, skin and gastric mucosa, in need of high rate production of nucleotides [143145]. With that respect, ribulose/xylulose-5-phosphate are viewed as the rate limiting intermediates for the de novo synthesis of nucleotides [146]. Fast-twitch muscle fibers are known to realize a much higher rate of nucleotide synthesis when compared to slow-twitch fibers, due to the high speed at which fast-twitch processes take place [146]. Therefore, the upregulation of the PPP in the M. vastus lateralis after 8 weeks of DT matches with the muscle fiber type composition switches seen in that muscle.

Amino acid metabolism was significantly influenced in response to 8 weeks of DT.

Skeletal muscle is considered to be the largest protein pool inside the body. Any type of training, whether it is resistance training or endurance training, is expected to have its impact on skeletal muscle amino acid metabolism, pushing the balance towards anabolic activity, in support of muscle build-up [147149]. With that respect, BCAAs were upregulated in the M. vastus lateralis, whereas glutamine/glutamate metabolism was upregulated in the M. pectoralis. For both muscle groups, there was a significant upregulation of AAAs, glycine metabolism and xenobiotic metabolism.

Branched-chain amino acids (BCAAs) were upregulated in response to 8 weeks of DT in the M. vastus lateralis. The class of BCAAs is represented by three essential amino acids: valine, leucine and isoleucine (Fig 2). They represent about 35% of the essential amino acids in the muscle [150, 151]. What distinguishes them from other amino acids is the fact that they are non-polar and their R-group is a branched chain. The fact that they are essential means that they need to be ingested by the diet, at least in human and many other species [152]. In horses, it is not known, though their vegan diet for sure serves as a source. A study in cows has demonstrated that gut microbiome production of BCAAs is important as well [153].

In contrast to many other amino acids, breakdown of BCAAs does not take place predominantly in the liver, due to low hepatic activity of branched-chain amino acid aminotransferase (BCAT). As a consequence, BCAAs supplemented orally are available for many extrahepatic tissues, such as muscle tissue. Positive effects of BCAA supplementation have been reported in a wide array of human and animal studies focusing on mitigation of cachexia and muscle wasting, suppression of symptoms of encephalopathy, promotion of wound healing and with respect to exercise physiology: attenuation of muscle fatigue and stimulation of insulin release [154157]. BCAAs can function as fuel to generate ATP to perform exercise. They enter the muscle cell via transmembranar transportation molecules, such as L-type amino acid transporter 1 (LAT1) and LAT2 [158160]. BCAA catabolism is an oxidative process of which the breakdown products are fed into the TCA cycle at steps further downstream from acetyl CoA (Figs 1 and 2). The total oxidation of one mol of respectively leucine, isoleucine and valine generates 43, 42 and 32 moles of ATP. From an energetic point of view, it is thus an interesting pathway. It has been shown that leucine oxidation is greater in trained rats when compared to untrained rats [161, 162]. BCAA breakdown occurs in three consecutive steps. The first step is catalyzed by the enzyme BCAT, which deaminates the three BCAAs into their respective α-keto-branched-chain acid, being α-ketoisovalerate for valine; α-keto-β-methylvalerate for isoleucine and α-ketoisocaproate for leucine. Subsequently, a large multi-enzyme complex situated on the inner mitochondrial membrane, known as branched-chain α-ketoacid dehydrogenase (BCKDH) converts these α-keto-branched-chain acids in two consecutive steps into products such as succinyl-CoA and acetyl-CoA, which are intermediates of the TCA cycle, succinyl-CoA being fed into the TCA cycle at steps further downstream from acetyl CoA. Both biotin and vitamin B12 are important co-factors for those steps. The shuttling of BCAAs into the mitochondria is performed by acylcarnitines [163]. Both BCAA and glycyl hydropeptides of BCAAs were significantly increased in the M. vastus lateralis, supporting the idea that 8 weeks of DT upregulates readiness of the BCAA machinery in a muscle that develops a fast twitch profile. With that respect, also the significant increase of succinylcarnitine (1.4 fold change) and 2-methylcitrate (1.77 fold change in the M. pectoralis and 2.26 in the M. vastus lateralis), two entry ports for BCAA breakdown products into the TCA cycle is striking. Nothing is known about the role of BCAAs in the energy metabolism of horses and in the face of energy partition, it is not known at which time point of exercise this machinery engages. It has been shown that BCAA oxidation is higher in muscles containing a high amount of aerobic fibers compared to muscles made predominantly out of anaerobic fibers [164]. Keeping in mind the fact that horses predominantly are constituted out of aerobic fast twitch fibers, BCAAs could be a very important energy source that has gone unnoticed up until now. More research is needed with that respect. Looking back into equine literature, BCAAs have been found in several studies in muscle tissue, but their role in energy supply has been minimized probably due to the lack of knowledge of BCAA metabolism and their contribution to energy needs [62, 165, 166]. Our results are in accordance with Klein et al. 2020, who also showed that BCAA breakdown occurred significantly in equine muscle during acute exercise and that after 12 weeks of a conditioning training program (4 days/week aerobic treadmill exercise and 1 day/week high speed treadmill exercise), the BCAA content increased in resting muscle biopsies of the M. gluteus medius [23].

Glutamine/glutamate metabolism was significantly upregulated in the M. pectoralis. Glutamine content was significantly increased (1.46 fold) in the M. pectoralis. Several studies have demonstrated that there is an important positive correlation between muscular glutamine levels and the muscular protein synthesis balance [167, 168]. An upregulated anabolic profile is in accordance with the increased muscle diameter of the M. pectoralis seen after 8 weeks of DT. Glutamine shuttles nitrogen between tissues and is involved in several metabolic processes such as cellular proliferation, acid–base balance and antioxidant synthesis (i.e. synthesis of GSH) [169]. Exhaustive exercise and starvation caused glutamine deficiency [170172]. Similarly, muscle glutamine levels declined in overtrained individuals [173]. Glutamine is known to be an important C donor for gluconeogenesis and glycogen synthesis [174176]. More recent studies have demonstrated a positive modulating effect of glutamine on insulin sensitivity and glycemic control [177181]. Physiologically, these are all beneficial effects for a muscle that develops a more pronounced aerobic profile, such as the M. pectoralis in response to 8 weeks of DT [177181]. Finally, also N-acetyl-aspartyl-glutamate (NAAG) was upregulated in the M. pectoralis DT group. NAAG is the most important neurotransmitter in the mammalian brain and might have neuroprotective properties [182].

Aromatic amino acids (AAAs) were significantly upregulated in both muscles, predominantly the M. vastus lateralis following 8 weeks of DT. AAAs, which have an aromatic ring such as tryptophan, tyrosine, phenylalanine and histidine were all significantly upregulated predominantly for the M. vastus lateralis. Among this group, three are essential: phenylalanine, tryptophan and histidine. Especially the upregulation of derivatives of histidine is striking: cis-urocanate (4.75 fold), carnosine (1.10 fold) and homocarnosine (1.40 fold) in the M. vastus lateralis. Cis-urocanate is an intermediate of the histidine degradation pathway. It is synthetized from histidine by uncoupling ammonia. Further degradation leads to production of glutamate, which on its turn is important for BCAA breakdown. Carnosine, is a dipeptide consisting of the amino acids β-alanine and histidine. It is found in large amounts in muscle and brain tissue. It is known to mitigate acidosis due to its buffering capacity, to act as an anti-oxidant, and to improve excitation-contraction coupling by regulating Ca2+ fluxes in the sarcoplasmatic reticulum [183]. Several studies have shown that carnosine supplementation improves performance capacity, especially for high intensity exercise [184188]. Interestingly, human training studies show very little effect of training on muscle carnosine content. High carnosine levels are reported to be genetically determined or to occur as long term adaptation in response to years of training [189]. Apparently, this does not apply for horses, which can probably be attributed to their pronounced fast twitch profile.

Tyrosine (1.23 fold) and tryptophan (1.24 fold) were both upregulated in the M. vastus lateralis. In several studies the muscular content of tyrosine is used as an indicator of muscular protein catabolism, since the muscle cannot metabolize this amino acid [190, 191]. A rat study has shown that tyrosine levels remain high in the muscles for more than 24h after a swimming experiment of 10h duration [192]. Tryptophan is an important building block for serotonin production. In human athletes, the plasma tryptophan/BCAA ratio is monitored for early detection of occurrence of central fatigue [193] and tryptophan supplementation is known to postpone the occurrence of central fatigue when performing endurance exercise [194]. Tryptophan also functions as a precursor for the kynurenine pathway, which is a complex metabolic pathway that generates NAD+, which obviously is involved in many metabolic processes. Increased plasma levels of tryptophan have been reported after prolonged exercise such as military training or marathon races [195]; triathlons [196] and more than 4h of cycling [197]. Tryptophan can also exert a mitigating effect on the muscular inflammatory response. A recent study showed that low intensity aerobic exercise associated with oral supplementation of tryptophan in rats with fibromyalgia diminished the pro inflammatory cytokine IL-6 release in muscles, as well as serum cortisol levels [198]. It is not known whether tryptophan can mitigate the training induced inflammatory response in healthy subjects.

P-cresol-glucuronide was also importantly upregulated in both muscles (2.69 fold in M. pectoralis and 2.91 fold in M. vastus lateralis). This metabolite is the result of bacterial fermentation of dietary tyrosine [199]. So, most probably, it needs to be viewed as another xenobiotic, just like the previously reported BCAA dipeptides, that is produced by the microbiome and is used inside the muscle as fuel source [23].

Glycine and serine metabolism was significantly upregulated in response to DT in both M. pectoralis and M. vastus lateralis. Glycine is a very important amino acid and can be synthesized out of glucose, glutamate, betaine, serine, threonine, choline, and hydroxyproline. Several of these building blocks were significantly upregulated in both muscles after 8 weeks of DT. Also serine showed an important upregulation in both muscles (1.45 fold in M. pectoralis and 1.89 fold in M. vastus lateralis). Notably, serine can be converted to pyruvate which can then be further processed by anaerobic glycolysis, or drawn into the TCA cycle in case aerobic metabolism prevails. Sarcosine, which was also significantly upregulated in both muscles (2.22 fold in M. pectoralis and 3.10 fold in M. vastus lateralis) is an intermediate of the choline-supported pathway of glycine synthesis. Glycine is crucial for a series of important metabolic processes such as synthesis of proteins, glutathione, heme, creatine, nucleic acids, and uric acid and gluconeogenesis. Interesting to note is that glycine accounts for 1/3 of amino acids in collagen and elastin. Keeping in mind, previous publications, in which a standard upregulation of collagen breakdown in healthy Friesian horses was reported, it would be interesting to check whether a similar upregulation of glycine metabolism is seen in other horse breeds in response to 8 weeks of DT [200]. In the study of Klein et al. (2020) no changes in glycine or proline metabolism were reported for the Standardbreds supporting the concept that this a Friesian specific trait [23]. These findings are also in accordance with previous studies of our research group focusing on aortic rupture and mega esophagus in Friesian horses, two important hereditary diseases in this breed, most probably expressed on top of an aberrant collagen and elastin metabolism [200203].

Methionine and cysteine metabolism were upregulated in response to 8 weeks of DT in both muscles. Especially intermediates of cysteine and methionine metabolism were significantly increased in both muscles. Methionine, which is an essential amino acid, functions as a precursor for cysteine, succinyl-CoA, homocysteine, cysteine, creatine, and carnitine. Methionine has important mitigating effects on metabolism, such as stimulation of protein synthesis and increasing the capacity to cope with oxidative stress. The increased glutathione levels, found in both muscles support this. It is well known that training improves the antioxidant defense mechanisms in order to cope with higher oxidative stress levels [204, 205].

Proline and arginine metabolism were significantly upregulated, especially in M. pectoralis, after 8 weeks of DT. Proline and arginine are biosynthesized out of glutamate, which was also upregulated in the M. pectoralis (1.19 fold). Also ornithine, which is an important metabolite of the urea cycle, was significantly upregulated (2.02 fold in M. pectoralis and 1.33 fold in M. vastus lateralis). These findings support an upregulation of protein metabolism in especially the M. pectoralis. Interestingly, in our study arginine intermediates were also upregulated, which can function as precursors for ornithine synthesis. Ornithine is important in the urea cycle, since it binds the ammonia group and is than recycled to start the urea cycle again.

Proline was significantly upregulated in both muscle groups (1.16 fold in M. pectoralis and 1.39 fold in M. vastus lateralis) and is known to be a biomarker for collagen content in muscles of dogs [206]. In view of the previous remarks concerning collagen metabolism in healthy Friesian horses, more research is needed with that respect.

Glutathione metabolism was altered in response to 8 weeks of DT in both muscles.

Several glutathione metabolism intermediates were significantly upregulated in both muscle groups, still more pronounced in the M. pectoralis, indicating an increased capacity to cope with oxidative stress. It is well known that training induces a low grade inflammatory reaction, but in the same time induces protective mechanisms against oxidative stress, especially in muscles that undergo aerobic training [207209].

Possible limitations of the current study were the fact that no comparable follow-up was performed in a third group of horses, housed in a similar fashion, but without being trained, to discern between pure training effects and effects that could have manifested themselves naturally in horses of 2.5 to 3.5 years old over the course of 8 weeks. Secondly, for allowing a comparative approach, DT was just like AT performed at a speed of 1.25 m/sec which is a rather low training intensity.

Conclusion

AT is superior to DT to increase muscle diameter in the hindquarters, with maximum effect reached already after 4 weeks for some muscle groups. DT decreased muscles of the hindquarters and increased muscles of the forehand, again with maximum effect reached after 4 weeks for some muscle groups.

Type IIA fibers were the predominant muscle fiber type in all studied muscles. The M. semitendinosus contained less type I fibers when compared to the M. pectoralis and the M. vastus lateralis, both of which showed similar muscle fiber type composition. The mean fiber CSA of the M. pectoralis and the M. semitendinosus was significantly larger than that of the M. vastus lateralis and CSA of type I fibers was significantly larger in the M. pectoralis when compared to the M. vastus lateralis.

Different physiological adaptations occurred in the monitored muscle groups in response to the same type of training (Table 3). The M. semitendinosus showed only minor changes, which proves that it is important which muscle groups are selected for longitudinal follow-up in training trials. After DT, the M. pectoralis showed increased muscle diameter, more type I fibers, decreased mean fiber CSA, and an upregulated oxidative metabolic profile: increased β-oxidation (key metabolites: decreased long chain fatty acids and increased long chain acylcarnitines), TCA activity (intermediates including succinyl-carnitine and 2-methylcitrate), amino acid metabolism (AA) (glutamine, aromatic AAs (AAAs), serine, urea cycle metabolites such as proline, arginine and ornithine) and xenobiotic metabolism (especially p-cresol glucuronide). The M. vastus lateralis expanded its fast twitch profile, with decreased muscle diameter, decreased type I fibers and an upregulation of glycolytic and pentose phosphate pathway (PPP) activity, and increased branched-chain and AAA metabolism (cis-urocanate, carnosine and homocarnosine, tyrosine, tryptophan and p-cresol-glucuronide, serine, methionine, cysteine, proline and ornithine).

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Table 3. Overview of muscle morphometrics and muscle metabolism in horses.

https://doi.org/10.1371/journal.pone.0249922.t003

The fact that only modest glycogen metabolism pathway changes were seen and no changes in short chain fatty acids brings to question whether these are pivotal energy sources for horses. Results show that BCAAs, AAAs and microbiome-derived xenobiotics need further study in horses. They feed into the TCA cycle at steps further downstream from acetyl CoA and most likely are oxidized in type IIA fibers, the predominant fiber type of the horse. These study results underline the importance of reviewing existing paradigms on equine bioenergetics.

Supporting information

S1 Table. Muscle fiber type composition and muscle fiber cross sectional area of the M. pectoralis, M. vastus lateralis and M. semitendinosus.

Raw data of muscle fiber type composition and muscle fiber cross sectional area in the M. pectoralis, M. vastus lateralis and M. semitendinosus in untrained condition (untrained) and after 8 weeks of dry treadmill training (trained).

https://doi.org/10.1371/journal.pone.0249922.s001

(XLSX)

S1 File. Detailed overview of the analytical method of the metabolomics analysis.

https://doi.org/10.1371/journal.pone.0249922.s002

(PDF)

Acknowledgments

The experiments were performed at the Department of Virology, Parasitology and Immunology, Research Group of Comparative Physiology, Faculty of Veterinary Medicine, Ghent University, Belgium and at a training facility (AVD262002015144). CDMDA, BB, KG and CJGD were responsible for the conception and design of the research. CJGD, CMDB, BB, MO and DVDW performed the experiments. CDMDA, BB, CJGD, KG and KV performed the analyses. CDMDA, BB, WDS, KV and CJGD interpreted the results. CDMDA, BB and CJGD drafted the manuscript. CDMDA, BB, MO, CMDB, DVDW, WDS, KG, KV and CJGD edited and revised the manuscript. All authors read and approved the final version of the manuscript before submission and all authors are accountable for all aspects of the work.

References

  1. 1. Waran NK, Casey R. Horse training. In: Mills DS, McDonnell SM, editors. The Domestic Horse: The Origins, Development and Management of Its Behaviour. Cambridge University Press; 2005. p. 264.
  2. 2. Santamaría S, Bobbert MF, Back W, Barneveld A, van Weeren R. Effect of early training on the jumping technique of horses. Am J Vet Res. 2005;66: 418–424. pmid:15822585
  3. 3. Castejon-Riber C, Riber C, Rubio MD, Agüera E, Muñoz A. Objectives, Principles, and Methods of Strength Training for Horses. J Equine Vet Sci. 2017;56: 93–103.
  4. 4. Rubin CT, Lanyon LE. Regulation of bone formation by applied dynamic loads. J Bone Jt Surg. 1984;66: 397–402. pmid:6699056
  5. 5. Bolam KA, van Uffelen JGZ, Taaffe DR. The effect of physical exercise on bone density in middle-aged and older men: A systematic review. Osteoporos Int. 2013;24: 2749–2762.
  6. 6. Hoppeler H, Baum O, Lurman G, Mueller M. Molecular Mechanisms of Muscle Plasticity with Exercise. Comprehensive Physiology. 2011;1:1383–1412. pmid:23733647
  7. 7. Functional Flück M., structural and molecular plasticity of mammalian skeletal muscle in response to exercise stimuli. J Exp Biol. 2006;209: 2239–2248. pmid:16731801
  8. 8. Valberg S. Metabolic response to racing and fiber properties of skeletal muscle in standardbred and thoroughbred horses. J Equine Vet Sci. 1987;7: 6–12.
  9. 9. Wilson JM, Loenneke JP, Jo E, Wilson GJ, Zourdos MC, Kim JS. The effects of endurance, strength, and power training on muscle fiber type shifting. J Strength Cond Res. 2012;26: 1724–1729.
  10. 10. Pette D, Staron RS. Myosin isoforms, muscle fiber types, and transitions. Microsc Res Tech. 2000;50: 500–509.
  11. 11. Röckl KSC, Hirshman MF, Brandauer J, Fujii N, Witters LA, Goodyear LJ. Skeletal Muscle Adaptation to Exercise Training. Diabetes. 2007;56: 2062–2069. pmid:17513699
  12. 12. Burgomaster KA, Hughes SC, Heigenhauser GJF, Bradwell SN, Gibala MJ. Six sessions of sprint interval training increases muscle oxidative potential and cycle endurance capacity in humans. J Appl Physiol. 2005;98: 1985–1990. pmid:15705728
  13. 13. Lopez-Rivero JL, Morales-Lopez JL, Galisteo AM, Aguera E. Muscle fibre type composition in untrained and endurance-trained Andalusian and Arab horses. Equine Vet J. 1991;23: 91–93. pmid:2044515
  14. 14. Fry CS, Noehren B, Mula J, Ubele MF, Westgate PM, Kern PA, et al. Fibre type-specific satellite cell response to aerobic training in sedentary adults. J Physiol. 2014;592: 2625–2635. pmid:24687582
  15. 15. Kraemer WJ, Patton JF, Gordon SE, Harman EA, Deschenes MR, Reynolds K, et al. Compatibility of high-intensity strength and endurance training on hormonal and skeletal muscle adaptations. J Appl Physiol. 1995;78: 976–989. pmid:7775344
  16. 16. Alves RDAM, Dane AD, Harms A, Strassburg K, Seifar RM, Verdijk LB, et al. Global profiling of the muscle metabolome: method optimization, validation and application to determine exercise-induced metabolic effects. Metabolomics. 2015;11: 271–285.
  17. 17. Zhang J, Bhattacharyya S, Hickner RC, Light AR, Lambert CJ, Gale BK, et al. Skeletal muscle interstitial fluid metabolomics at rest and associated with an exercise bout: application in rats and humans. Am J Physiol Endocrinol Metab. 2019;316: 43–53. pmid:30398905
  18. 18. Bruno C, Patin F, Bocca C, Nadal-Desbarats L, Bonnier F, Reynier P, et al. The combination of four analytical methods to explore skeletal muscle metabolomics: Better coverage of metabolic pathways or a marketing argument? J Pharm Biomed Anal. 2018;148: 273–279. pmid:29059617
  19. 19. Fazelzadeh P, Hangelbroek RWJ, Tieland M, De Groot LCPGM, Verdijk LB, Van Loon LJC, et al. The Muscle Metabolome Differs between Healthy and Frail Older Adults. J Proteome Res. 2016;15: 499–509. pmid:26732810
  20. 20. Duggan GE, Hittel DS, Sensen CW, Weljie AM, Vogel HJ, Shearer J. Metabolomic response to exercise training in lean and diet-induced obese mice. J Appl Physiol. 2011;110: 1311–1318. pmid:21270351
  21. 21. Garvey SM, Russ DW, Skelding MB, Dugle JE, Edens NK. Molecular and metabolomic effects of voluntary running wheel activity on skeletal muscle in late middle-aged rats. Physiol Rep. 2015;3: e12319. pmid:25716928
  22. 22. Xiang L, Zhang H, Wei J, Tian XY, Luan H, Li S, et al. Metabolomics studies on db/db diabetic mice in skeletal muscle reveal effective clearance of overloaded intermediates by exercise. Anal Chim Acta. 2018;1037: 130–139. pmid:30292287
  23. 23. Klein DJ, McKeever KH, Mirek ET, Anthony TG. Metabolomic Response of Equine Skeletal Muscle to Acute Fatiguing Exercise and Training. Front Physiol. 2020;11: 1–15.
  24. 24. Waller A, Lindinger M. Nutritional aspects of post exercise skeletal muscle glycogen synthesis in horses: a comparative review. Equine Vet J. 2010;42: 274–281. pmid:20486986
  25. 25. Hintz H, Cymbaluk N. Nutrition of the horse. Annu Rev Nutr. 1994;14:243–267.
  26. 26. Karp JR. Muscle Fiber Types and Training. Strength Cond J.. 2001;23: 21–26. pmid:21643474
  27. 27. Scott W, Stevens J, Binder–Macleod SA. Human Skeletal Muscle Fiber Type Classifications. Phys Ther. 2001;81: 1810–1816. pmid:11694174
  28. 28. Talbot J. Resistance To Muscle Disease. Wiley Interdiscip Rev Dev Biol. 2017;5: 518–534. pmid:27199166
  29. 29. Simoneau JA, Bouchard C. Human variation in skeletal muscle fiber-type proportion and enzyme activities. Am J Physiol—Endocrinol Metab. 1989;257: 567–572. pmid:2529775
  30. 30. Zierath JR, Hawley JA. Skeletal Muscle Fiber Type: Influence on Contractile and Metabolic Properties. PLOS Biol. 2004;2: e348. pmid:15486583
  31. 31. Barlow DA, Lloyd JM, Hellhake P, Seder JA. Equine muscle fiber types: A histological and histochemical analysis of select thoroughbred yearlings. J Equine Vet Sci. 1984;4: 60–66.
  32. 32. Rivero J-LL, Hill EW. Skeletal muscle adaptations and muscle genomics of performance horses. Vet J. 2016;209: 5–13. pmid:26831154
  33. 33. de Bruijn CM, Houterman W, Ploeg M, Ducro B, Boshuizen B, Goethals K, et al. Monitoring training response in young Friesian dressage horses using two different standardised exercise tests (SETs). BMC Vet Res. 2017;13: 49.
  34. 34. Schurink A, Shrestha M, Eriksson S, Bosse M, Bovenhuis H, Back W, et al. The Genomic Makeup of Nine Horse Populations Sampled in the Netherlands. Genes (Basel). 2019;10: 480. pmid:31242710
  35. 35. van de Goor LHP, van Haeringen WA, Lenstra JA. Population studies of 17 equine STR for forensic and phylogenetic analysis. Anim Genet. 2011;42: 627–633. pmid:22035004
  36. 36. Howald H, Hoppeler H, Claassen H, Mathieu O, Straub R. Influences of endurance training on the ultrastructural composition of the different muscle fiber types in humans. Pflügers Arch Eur J Physiol. 1985;403: 369–376. pmid:4011389
  37. 37. Campos GE, Luecke TJ, Wendeln HK, Toma K, Hagerman FC, Murray TF, et al. Muscular adaptations in response to three different resistance-training regimens: specificity of repetition maximum training zones. Eur J Appl Physiol. 2002;88: 50–60. pmid:12436270
  38. 38. Leisson K, Jaakma Ü, Seene T. Adaptation of Equine Locomotor Muscle Fiber Types to Endurance and Intensive High Speed Training. J Equine Vet Sci.. 2008;28: 395–401.
  39. 39. Seiko Yamano, Eto D, Sugiura T, Kai M, Hiraga A, Tokuriki M, et al. Effect of growth and training on muscle adaptation in Thoroughbred horses. Am J Vet Res. 2002;63: 1408–1412.
  40. 40. Firshman AM, Borgia LA, Valberg SJ. Effects of training at a walk on conventional and underwater treadmills on fiber properties and metabolic responses of superficial digital flexor and gluteal muscles to high-speed exercise in horses. Am J Vet Res. 2015;76: 1058–1065.
  41. 41. Miyata H, Itoh R, Sato F, Takebe N, Hada T, Tozaki T. Effect of Myostatin SNP on muscle fiber properties in male Thoroughbred horses during training period. J Physiol Sci. 2018;68: 639–646. pmid:29058242
  42. 42. Rivero J-LL, Ruz A, Martí-Korff S, Estepa J-C, Aguilera-Tejero E, Werkman J, et al. Effects of intensity and duration of exercise on muscular responses to training of thoroughbred racehorses. J Appl Physiol. 2007;102: 1871–1882.
  43. 43. Nagahisa H, Mukai K, Ohmura H, Takahashi T, Miyata H. Effect of High-Intensity Training in Normobaric Hypoxia on Thoroughbred Skeletal Muscle. Ponce-González JG, editor. Oxid Med Cell Longev. 2016;2016: 1535367. pmid:27721912
  44. 44. D’Angelis FHF, Ferraz GC, Boleli IC, Lacerda-Neto JC, Queiroz-Neto A. Aerobic training, but not creatine supplementation, alters the gluteus medius muscle1,2. J Anim Sci. 2005;83: 579–585.
  45. 45. Yamano S, Kawai M, Minami Y, Hiraga A, Miyata H. Differences in muscle fiber recruitment patterns between continuous and interval exercises. J Equine Sci. 2010;21: 59–65. pmid:24833978
  46. 46. Rivero J-LL, Talmadge RJ, Edgerton VR. Correlation between myofibrillar ATPase activity and myosin heavy chain composition in equine skeletal muscle and the influence of training. Anat Rec. 1996;246: 195–207.
  47. 47. López-Rivero JL, Agüera E, Monterde JG, Vivo J, Rodríguez-Barbudo M V. Skeletal muscle fiber size in untrained and endurance-trained horses. Am J Vet Res. 1992;53: 847–850. pmid:1524314
  48. 48. Hodgson DR, Rose RJ, Dimauro J, Allen JR. Effects of training on muscle composition in horses. Am J Vet Res. 1986;47: 12–15. pmid:3946889
  49. 49. Tyler CM, Golland LC, Evans DL, Hodgson DR, Rose RJ. Skeletal muscle adaptations to prolonged training, overtraining and detraining in horses. Pflügers Arch. 1998;436: 391–397. pmid:9644221
  50. 50. Sinha AK, Ray SP, Rose RJ. Effect of constant load training on skeletal muscle histochemistry of thoroughbred horses. Res Vet Sci. 1993;54: 147–159. pmid:7681605
  51. 51. Kim J, Hinchcliff KW, Yamaguchi M, Beard LA, Markert CD, Devor ST. Exercise training increases oxidative capacity and attenuates exercise-induced ultrastructural damage in skeletal muscle of aged horses. J Appl Physiol. 2005;98: 334–342. pmid:15377646
  52. 52. Rivero JL. Muscle biopsy as a tool for assessing muscular adaptation to training in horses. Am J Vet Res. 1996;57: 1412–1416. pmid:8896675
  53. 53. Klein DJ, Mirek ET, Anthony TG, McKeever KH. Exercise Training in Standardbred Horses Alters the Skeletal Muscle Metabolome and Plasma Amino Acid Profile: Implications for the “Athlete’s Paradox.” FASEB J. 2018;32: 855.27–855.27.
  54. 54. Bouwman FG, van Ginneken MME, Noben JP, Royackers E, de Graaf-Roelfsema E, Wijnberg ID, et al. Differential expression of equine muscle biopsy proteins during normal training and intensified training in young standardbred horses using proteomics technology. Comp Biochem Physiol—Part D Genomics Proteomics. 2010;5: 55–64. pmid:20374942
  55. 55. Borgia LA, Valberg SJ, Essen-Gustavsson B. Differences in the metabolic properties of gluteus medius and superficial digital flexor muscles and the effect of water treadmill training in the horse. Equine Vet J. 2010;42: 665–670.
  56. 56. Yan B, A J, Wang G, Lu H, Huang X, Liu Y, et al. Metabolomic investigation into variation of endogenous metabolites in professional athletes subject to strength-endurance training. J Appl Physiol. 2009;106: 531–538. pmid:19036890
  57. 57. Pechlivanis A, Kostidis S, Saraslanidis P, Petridou A, Tsalis G, Veselkov K, et al. 1H NMR Study on the Short- and Long-Term Impact of Two Training Programs of Sprint Running on the Metabolic Fingerprint of Human Serum. J Proteome Res. 2013;12: 470–480.
  58. 58. Kuhl J, Moritz T, Wagner H, Stenlund H, Lundgren K, Båvenholm P, et al. Metabolomics as a tool to evaluate exercise-induced improvements in insulin sensitivity. Metabolomics. 2008;4: 273–282.
  59. 59. Assenza A, Bergero D, Tarantola M, Piccione G, Caola G. Blood serum branched chain amino acids and tryptophan modifications in horses competing in long-distance rides of different length. J Anim Physiol Anim Nutr (Berl).. 2004;88: 172–177. pmid:15059243
  60. 60. Mach N, Ramayo-Caldas Y, Clark A, Moroldo M, Robert C, Barrey E, et al. Understanding the response to endurance exercise using a systems biology approach: Combining blood metabolomics, transcriptomics and miRNomics in horses. BMC Genomics. 2017;18: 1–17.
  61. 61. Arfuso F, Assenza A, Fazio F, Rizzo M, Giannetto C, Piccione G. Dynamic Change of Serum Levels of Some Branched-Chain Amino Acids and Tryptophan in Athletic Horses After Different Physical Exercises. J Equine Vet Sci. 2019;77: 12–16. pmid:31133304
  62. 62. Le Moyec L, Robert C, Triba MN, Bouchemal N, Mach N, Rivière J, et al. A First Step Toward Unraveling the Energy Metabolism in Endurance Horses: Comparison of Plasma Nuclear Magnetic Resonance Metabolomic Profiles Before and After Different Endurance Race Distances. Front Mol Biosci. 2019;6: 45.
  63. 63. Le Moyec L, Mille-Hamard L, Triba MN, Breuneval C, Petot H, Billat VL. NMR metabolomics for assessment of exercise effects with mouse biofluids. Anal Bioanal Chem. 2012;404: 593–602. pmid:22706325
  64. 64. Deda O, Gika HG, Taitzoglou I, Raikos Ν, Theodoridis G. Impact of Exercise and Aging on Rat Urine and Blood Metabolome. An LC-MS Based Metabolomics Longitudinal Study. Metabolites. 2017;7: 10. pmid:33375435
  65. 65. Roig M, O’Brien K, Kirk G, Murray R, McKinnon P, Shadgan B, et al. The effects of eccentric versus concentric resistance training on muscle strength and mass in healthy adults: a systematic review with meta-analysis. Br J Sports Med. 2009;43: 556–568. pmid:18981046
  66. 66. Guy PS, Snow DH. The effect of training and detraining on muscle composition in the horse. J Physiol. 1977;269: 33–51.
  67. 67. Ha A, Ray SP, Rose RJ. Effect of training intensity and detraining on adaptations in different skeletal muscles. Equine Exercise Physiology. ICEEP publications. 1991;3: 223–230.
  68. 68. Yamano S, Eto D, Hiraga A, Miyata H. Recruitment pattern of muscle fibre type during high intensity exercise (60–100% VO2max) in Thoroughbred horses. Res Vet Sci. 2006;80: 109–115.
  69. 69. Taylor AW, Brassard L. Skeletal muscle fiber distribution and area in trained and stalled Standardbred horses. Can J Anim Sci. 1981;61: 601–605.
  70. 70. Nankervis KJ, Launder EJ, Murray RC. The Use of Treadmills Within the Rehabilitation of Horses. J Equine Vet Sci.. 2017;53: 108–115. pmid:33530300
  71. 71. Buchner HH, Savelberg HH, Schamhardt HC, Merkens HW, Barneveld A. Kinematics of treadmill versus overground locomotion in horses. Vet Q. 1994;16 Suppl 2: 87–90. pmid:7801509
  72. 72. Ohmura H, Matsui A, Hada T, Jones JH. Physiological responses of young thoroughbred horses to intermittent high-intensity treadmill training. Acta Vet Scand. 2013;55: 59. pmid:23957961
  73. 73. Harkins JD, Kamerling SG. Assessment of treadmill interval training on fitness. J Equine Vet Sci. 1991;11: 237–242.
  74. 74. Voss B, Mohr E, Krzywanek H. Effects of aqua-treadmill exercise on selected blood parameters and on heart-rate variability of horses. J Vet Med Ser A Physiol Pathol Clin Med. 2002;49: 137–143. pmid:12019954
  75. 75. Tranquille CA, Nankervis KJ, Walker VA, Tacey JB, Murray RC. Current Knowledge of Equine Water Treadmill Exercise: What Can We Learn From Human and Canine Studies? J Equine Vet Sci.. 2017;50: 76–83. pmid:31443839
  76. 76. Lindner A, Wäschle S, Sasse HHL. Physiological and blood biochemical variables in horses exercising on a treadmill submerged in water. J Anim Physiol Anim Nutr (Berl).. 2012;96: 563–569. pmid:21692872
  77. 77. Scott R, Nankervis K, Stringer C, Westcott K, Marlin D. The effect of water height on stride frequency, stride length and heart rate during water treadmill exercise. Equine Vet J. 2010;42: 662–664. pmid:21059077
  78. 78. Tokuriki M, Ohtsuki R, Kai M, Hiraga A, Oki H, Miyahara Y, et al. EMG activity of the muscles of the neck and forelimbs during different forms of locomotion. Equine Vet J Suppl. 1999;30: 231–234. pmid:10659258
  79. 79. Yarnell K, Fleming J, Stretton TD, Brassington R. Monitoring changes in skin temperature associated with exercise in horses on a water treadmill by use of infrared thermography. J Therm Biol. 2014;45: 110–116. pmid:25436959
  80. 80. Greco-Otto P, Bond S, Sides R, Kwong GPS, Bayly W, Léguillette R. Workload of horses on a water treadmill: effect of speed and water height on oxygen consumption and cardiorespiratory parameters. BMC Vet Res. 2017;13: 360. pmid:29179766
  81. 81. Barnicoat F, Wills AP. Effect of water depth on limb kinematics of the domestic dog (Canis lupus familiaris) during underwater treadmill exercise. Comp Exerc Physiol. 2016;12: 199–207.
  82. 82. Parkinson S, Wills AP, Tabor G, Williams JM. Effect of water depth on muscle activity of dogs when walking on a water treadmill. Comp Exerc Physiol. 2018;14: 79–89.
  83. 83. Alkurdi W, Paul DR, Sadowski K, Dolny DG. The Effect of Water Depth on Energy Expenditure and Perception of Effort in Female Subjects While Walking. Int J Aquat Res Educ.. 2010;4: 7.
  84. 84. Meredith-Jones K, Waters D, Legge M, Jones L. Upright water-based exercise to improve cardiovascular and metabolic health: A qualitative review. Complement Ther Med. 2011;19: 93–103. pmid:21549260
  85. 85. Latham CM, White SH. Validation of primary antibodies for multiple immunofluorescent labeling of horse skeletal muscle fiber type. J Anim Sci. 2017;95: 53.
  86. 86. Dehaven CD, Evans AM, Dai H, Lawton KA. Organization of GC/MS and LC/MS metabolomics data into chemical libraries. J Cheminform.. 2010;2: 1–12. pmid:20955607
  87. 87. Evans AM, DeHaven CD, Barrett T, Mitchell M, Milgram E. Integrated, Nontargeted Ultrahigh Performance Liquid Chromatography/Electrospray Ionization Tandem Mass Spectrometry Platform for the Identification and Relative Quantification of the Small-Molecule Complement of Biological Systems. Anal Chem. 2009;81: 6656–6667. pmid:19624122
  88. 88. Mooij MJW, Jans W, den Heijer GJL, de Pater M, Back W. Biomechanical responses of the back of riding horses to water treadmill exercise. Vet J. 2013;198: e120–e123. pmid:24360735
  89. 89. Poos M, Costello R, Carlson-Newberry S. The Role of Protein and Amino Acids in Sustaining and Enhancing Performance. Comm Mil Nutr Res Inst Med. Washington; National Academies Press (US); 1999.
  90. 90. Mourier A, Gautier J, De Kerviler E, Bigard A, Villette J, Garnier J, et al. Mobilization of visceral adipose tissue related to the improvement in insulin sensitivity in response to physical training in NIDDM. Effects of branched-chain amino acid supplements. Diabetes Care. 1997;20: 385–391. pmid:9051392
  91. 91. Durheim MT, Slentz CA, Bateman LA, Mabe SK, Kraus WE. Relationships between exercise-induced reductions in thigh intermuscular adipose tissue, changes in lipoprotein particle size, and visceral adiposity. Am J Physiol Metab. 2008;295: 407–412.
  92. 92. Murphy JC, McDaniel JL, Mora K, Villareal DT, Fontana L, Weiss EP. Preferential reductions in intermuscular and visceral adipose tissue with exercise-induced weight loss compared with calorie restriction. J Appl Physiol. 2011;112: 79–85. pmid:22016371
  93. 93. Shaw C, Strauss J, Wagenmakers A. The Effect of Exercise and Nutrition on Intramuscular Fat Metabolism and Insulin Sensitivity. Annu Rev Nutr. 2010;30: 13–34. pmid:20373917
  94. 94. Gorgey AS, Shepherd C. Skeletal muscle hypertrophy and decreased intramuscular fat after unilateral resistance training in spinal cord injury: Case report. J Spinal Cord Med. 2010;33: 90–95. pmid:20397451
  95. 95. Akazawa N, Harada K, Okawa N, Tamura K, Moriyama H. Muscle mass and intramuscular fat of the quadriceps are related to muscle strength in non-ambulatory chronic stroke survivors: A cross-sectional study. PLoS One. 2018;13: 1–11. pmid:30071100
  96. 96. Trombetta MF, Nocelli F, Pasquini M. Meat quality and intramuscular fatty acid composition of Catria Horse. Anim Sci J. 2017;88: 1107–1112. pmid:27911482
  97. 97. De Palo P, Maggiolino A, Centoducati P, Tateo A. Slaughtering age effect on carcass traits and meat quality of italian heavy draught horse foals. Asian-Australasian J Anim Sci. 2013;26: 1637–1643. pmid:25049752
  98. 98. Johnson MA, Polgar J, Weightman D, Appleton D. Data on the distribution of fibre types in thirty-six human muscles. An autopsy study. J Neurol Sci. 1973;18: 111–129. pmid:4120482
  99. 99. Schilling N. Metabolic profile of the perivertebral muscles in small therian mammals: implications for the evolution of the mammalian trunk musculature. Zoology. 2009;112: 279–304. pmid:19375292
  100. 100. Kawai M, Minami Y, Sayama Y, Kuwano A, Hiraga A, Miyata H. Muscle fiber population and biochemical properties of whole body muscles in thoroughbred horses. Anat Rec. 2009;292: 1663–1669. pmid:19728360
  101. 101. Payne RC, Hutchinson JR, Robilliard JJ, Smith NC, Wilson AM. Functional specialisation of pelvic limb anatomy in horses (Equus caballus). J Anat. 2005;206: 557–574.
  102. 102. Payne RC, Veenman P, Wilson AM. The role of the extrinsic thoracic limb muscles in equine locomotion. J Anat. 2005;206: 193–204.
  103. 103. Jaworowski Å, Porter MM, Holmbäck AM, Downham D, Lexell J. Enzyme activities in the tibialis anterior muscle of young moderately active men and women: relationship with body composition, muscle cross-sectional area and fibre type composition. Acta Physiol Scand. 2002;176: 215–225. pmid:12392501
  104. 104. Qatamish MA, Al-Nassan SM, Kondo H, Fujino H. Protective effects of low-intensity exercise on metabolic oxidative capacity and capillarization in skeletal muscle of non-obese diabetic rats. Biomed Res. 2020;41: 227–236. pmid:33071258
  105. 105. Lee EC, Fragala MS, Kavouras SA, Queen RM, Pryor JL, Casa DJ. Biomarkers in Sports and Exercise. J Strength Cond Res.. 2017;31: 2920–2937. pmid:28737585
  106. 106. Rivero JL, Ruz A, Marti-Korff S, Lindner A. Contribution of exercise intensity and duration to training-linked myosin transitions in Thoroughbreds. Equine Vet J. 2006;38: 311–315. pmid:17402438
  107. 107. Serrano AL, Quiroz-Rothe E, Rivero JLL. Early and long-term changes of equine skeletal muscle in response to endurance training and detraining. Pflugers Arch Eur J Physiol. 2000;441: 263–274. pmid:11211112
  108. 108. Hodgson DR, Rose RJ, DiMauro J, Allen JR. Effects of a submaximal treadmill training programme on histochemical properties, enzyme activities and glycogen utilisation of skeletal muscle in the horse. Equine Vet J. 1985;17: 300–305.
  109. 109. Essen-Gustavsson B, McMiken D, Karlström K, Lindholm A, Persson S, Thornton J. Muscular adaptation of horses during intensive training and detraining. Equine Vet J. 1989;21: 27–33. pmid:2920697
  110. 110. Gottlieb M, Essen-Gustavsson B, Lindholm A, Persson SG. Effects of a draft-loaded interval-training program on skeletal muscle in the horse. J Appl Physiol. 1989;67: 570–577.
  111. 111. van Wessel T, de Haan A, van der Laarse WJ, Jaspers RT. The muscle fiber type-fiber size paradox: hypertrophy or oxidative metabolism? Eur J Appl Physiol. 2010;110: 665–694. pmid:20602111
  112. 112. Van Der Laarse W, Des Tombe A, Lee-de Groot MBE, Diegenbach Zool P. Size principle of striated muscle cells. Netherlands J Zool. 1998;48: 213–223.
  113. 113. Chalmers GR, Roy RR, Edgerton VR. Variation and limitations in fiber enzymatic and size responses in hypertrophied muscle. J Appl Physiol. 1992;73: 631–641. pmid:1399991
  114. 114. Nygaard E, Nielsen E. Skeletal muscle fiber capillarisation with extreme endurance training in man. University. In: Eriksson B, Furberg B, editors. Swimming Medicine IV. University. Baltimore; 1978. pp. 282–293.
  115. 115. Giddings CJ, Gonyea WJ. Morphological observations supporting muscle fiber hyperplasia following weight-lifting exercise in cats. Anat Rec. 1992;233: 178–195. pmid:1605384
  116. 116. Kennedy JM, Eisenberg BR, Reid SK, Sweeney LJ, Zak R. Nascent muscle fiber appearance in overloaded chicken slow-tonic muscle. Am J Anat. 1988;181: 203–215. pmid:3369360
  117. 117. Yamada S, Buffinger N, DiMario J, Strohman R. Fibroblast growth factor is stored in fiber extracellular matrix and plays a role in regulating muscle hypertrophy. Med Sci Sports Exerc. 1989;21: 173–180. pmid:2607952
  118. 118. Liu G, Mac Gabhann F, Popel AS. Effects of fiber type and size on the heterogeneity of oxygen distribution in exercising skeletal muscle. PLoS One. 2012/09/18. 2012;7: e44375–e44375. pmid:23028531
  119. 119. Eto D, Yamano S, Mukai K, Sugiura T, Nasu T, Tokuriki M, et al. Effect of high intensity training on anaerobic capacity of middle gluteal muscle in Thoroughbred horses. Res Vet Sci. 2004;76: 139–144. pmid:14672857
  120. 120. Coligan J, Kruisbeek A, Margulies D, Shevach E, Strober W. Current Protocols in Immunology. New York. 1991.
  121. 121. Conlee RK, Rennie MJ, Winder WW. Skeletal muscle glycogen content: diurnal variation and effects of fasting. Am J Physiol Content. 1976;231: 614–618. pmid:822735
  122. 122. McArdle W, Katch F, Katch V. Exercise Physiology: Energy, Nutrition, and Human Performance. 7th ed. Philadelphia. Wolters Kluwer/Lippincott Williams & Wilkins; 2007.
  123. 123. Kiens B, Roepstorff C. Utilization of long-chain fatty acids in human skeletal muscle during exercise. Acta Physiol Scand. 2003;178: 391–396.
  124. 124. Anderson CM, Stahl A. SLC27 fatty acid transport proteins. Mol Aspects Med. 2013;34: 516–528. pmid:23506886
  125. 125. Turcotte LP, Fisher JS. Skeletal muscle insulin resistance: roles of fatty acid metabolism and exercise. Phys Ther. 2008;88: 1279–1296. pmid:18801860
  126. 126. Schenk S, Horowitz JF. Acute exercise increases triglyceride synthesis in skeletal muscle and prevents fatty acid–induced insulin resistance. J Clin Invest. 2007;117: 1690–1698. pmid:17510709
  127. 127. Belaunzaran X, Lavín P, Barron L, Mantecón A, Kramer J, Aldai N. An assessment of the fatty acid composition of horse-meat available at the retail level in northern Spain. Meat Sci. 2016;124. pmid:27835833
  128. 128. Argenzio RA, Southworth M, Stevens CE. Sites of organic acid production and absorption in the equine gastrointestinal tract. Am J Physiol Content. 1974;226: 1043–1050. pmid:4824856
  129. 129. Argenzio RA, Hintz HF. Effect of Diet on Glucose Entry and Oxidation Rates in Ponies. J Nutr. 1972;102: 879–892. pmid:4556122
  130. 130. Bergman E. Energy contributions of volatile fatty acids from the gastrointestinal tract in various species. Physiol Rev. 1990;70: 567–590. pmid:2181501
  131. 131. Production Dijkstra J. and absorption of volatile fatty acids in the rumen. Livest Prod Sci. 1994;39: 61–69.
  132. 132. Plancade S, Clark A, Philippe C, Helbling J-C, Moisan M-P, Esquerré D, et al. Unraveling the effects of the gut microbiota composition and function on horse endurance physiology. Sci Rep. 2019;9: 9620.
  133. 133. Pedersen HK, Gudmundsdottir V, Nielsen HB, Hyotylainen T, Nielsen T, Chatelier L, et al. Human gut microbes impact host serum metabolome and insulin sensitivity. Nature. 2016;535: 376–381. pmid:27409811
  134. 134. Grosicki GJ, Fielding RA, Lustgarten MS. Gut Microbiota Contribute to Age-Related Changes in Skeletal Muscle Size, Composition, and Function: Biological Basis for a Gut-Muscle Axis. Calcif Tissue Int. 2018;102: 433–442.
  135. 135. Shimomura Y, Murakami T, Nakai N, Nagasaki M, Harris RA. Exercise Promotes BCAA Catabolism: Effects of BCAA Supplementation on Skeletal Muscle during Exercise. J Nutr. 2004;134: 1583S–1587S. pmid:15173434
  136. 136. Neinast MD, Jang C, Hui S, Murashige DS, Chu Q, Morscher RJ, et al. Quantitative Analysis of the Whole-Body Metabolic Fate of Branched-Chain Amino Acids. Cell Metab. 2019;29: 417–429.e4. pmid:30449684
  137. 137. Viru A, Viru M. Biochemical Monitoring of Sport Training. 1st edition. Human Kinetics; 2001.
  138. 138. McDonald AE, Pichaud N, Darveau C-A. “Alternative” fuels contributing to mitochondrial electron transport: Importance of non-classical pathways in the diversity of animal metabolism. Comp Biochem Physiol Part—B Biochem Mol Biol. 2018;224: 185–194. pmid:29155008
  139. 139. Cermak NM, Solheim AMYS, Gardner MS, Tarnopolsky MA, Gibala MJ. Muscle Metabolism during Exercise with Carbohydrate or Protein-Carbohydrate Ingestion. Med Sci Sport Exerc. 2009;41.
  140. 140. Blomstrand E, Hassmen P, Ek S, Ekblom B, Newsholme EA. Influence of ingesting a solution of branched-chain amino acids on perceived exertion during exercise. Acta Physiol Scand. 1997;159: 41–49. pmid:9124069
  141. 141. Shimomura Y, Murakami T, Nakai N, Nagasaki M, Obayashi M, Li Z, et al. Suppression of glycogen consumption during acute exercise by dietary branched-chain amino acids in rats. J Nutr Sci Vitaminol (Tokyo). 2000;46: 71–77. pmid:10885793
  142. 142. Monirujjaman M, Ferdouse A. Review Article Metabolic and Physiological Roles of Branched-Chain Amino Acids. Adv Mol Biol. 2014; 1–6.
  143. 143. Kuehne A, Emmert H, Soehle J, Winnefeld M, Fischer F, Wenck H, et al. Acute Activation of Oxidative Pentose Phosphate Pathway as First-Line Response to Oxidative Stress in Human Skin Cells. Mol Cell. 2015;59: 359–371. pmid:26190262
  144. 144. Cabezas H, Raposo RR, Meléndez-Hevia E. Activity and metabolic roles of the pentose phosphate cycle in several rat tissues. Mol Cell Biochem. 1999;201: 57–63. pmid:10630623
  145. 145. Orwell RL, Piper DW. Krebs Cycle, Pentose Phosphate Pathway, and Glycolysis in the Uninvolved Gastric Mucosa of Peptic Ulcer and Gastric Cancer Patients. Gastroenterology. 1977;73: 1320–1325.
  146. 146. Tullson PC, Terjung RL. Adenine nucleotide synthesis in exercising and endurance-trained skeletal muscle. Am J Physiol—Cell Physiol. 1991;261. pmid:1908187
  147. 147. Wagenmakers AJ. Muscle amino acid metabolism at rest and during exercise: role in human physiology and metabolism. Exerc Sport Sci Rev. 1998;26: 287–314. pmid:9696993
  148. 148. Walker DK, Dickinson JM, Timmerman KL, Drummond MJ, Reidy PT, Fry CS, et al. Exercise, amino acids, and aging in the control of human muscle protein synthesis. Med Sci Sports Exerc.. 2011;43: 2249–2258.
  149. 149. Tipton K, Wolfe R. Exercise, protein metabolism, and muscle growth. Int J Sport Nutr Exerc Metab.. 2001;11: 109–132.
  150. 150. Fouré A, Bendahan D. Is Branched-Chain Amino Acids Supplementation an Efficient Nutritional Strategy to Alleviate Skeletal Muscle Damage? A Systematic Review. Nutrients. 2017;9: 1047. pmid:33804870
  151. 151. Harper AE, Miller RH, BlockK P. Branched-Chain Amino Acid Metabolism. Annu Rev Nutr. 1984;4: 409–454. pmid:6380539
  152. 152. Wolfe RR. Branched-chain amino acids and muscle protein synthesis in humans: Myth or reality? J Int Soc Sports Nutr.. 2017;14: 1–7.
  153. 153. Korhonen M, Vanhatalo A, Huhtanen P. Evaluation of isoleucine, leucine, and valine as a second-limiting amino acid for milk production in dairy cows fed grass silage diet. J Dairy Sci. 2002;85: 1533–1545.
  154. 154. Floyd JC Jr, Fajans SS, Conn JW, Knopf RF, Rull J. Stimulation of insulin secretion by amino acids. J Clin Invest. 1966;45: 1487–1502.
  155. 155. Zhang S, Zeng X, Ren M, Mao X, Qiao S. Novel metabolic and physiological functions of branched chain amino acids: a review. J Anim Sci Biotechnol. 2017;8: 10. pmid:28127425
  156. 156. Davis JM, Alderson NL, Welsh RS. Serotonin and central nervous system fatigue: nutritional considerations. Am J Clin Nutr. 2000;72: 573–578. pmid:10919962
  157. 157. Holeček M. Branched-chain amino acids in health and disease: metabolism, alterations in blood plasma, and as supplements. Nutr Metab (Lond). 2018;15: 33.
  158. 158. Hodson N, Brown T, Joanisse S, Aguirre N, West DWD, Moore DR, et al. Characterisation of L-Type Amino Acid Transporter 1 (LAT1) Expression in Human Skeletal Muscle by Immunofluorescent Microscopy. Nutrients. 2017;10: 23. pmid:23306187
  159. 159. Fernstrom J. Large neutral amino acids: dietary effects on brain neurochemistry and function. Amino Acids. 2013;45: 419–430. pmid:22677921
  160. 160. White PJ, Lapworth AL, An J, Wang L, McGarrah RW, Stevens RD, et al. Branched-chain amino acid restriction in Zucker-fatty rats improves muscle insulin sensitivity by enhancing efficiency of fatty acid oxidation and acyl-glycine export. Mol Metab.. 2016;5: 538–551. pmid:27408778
  161. 161. Dohm GL, Hecker AL, Brown WE, Klain GJ, Puente FR, Askew EW, et al. Adaptation of protein metabolism to endurance training. Increased amino acid oxidation in response to training. Biochem J. 1977;164: 705–708. pmid:883961
  162. 162. Henderson SA, Black AL, Brooks GA. Leucine turnover and oxidation in trained rats during exercise. Am J Physiol Metab. 1985;249: 137–144. pmid:3927743
  163. 163. Violante S, IJlst L, Ruiter J, Koster J, van Lenthe H, Duran M, et al. Substrate specificity of human carnitine acetyltransferase: Implications for fatty acid and branched-chain amino acid metabolism. Biochim Biophys Acta—Mol Basis Dis. 2013;1832: 773–779. pmid:23485643
  164. 164. Muthny T, Kovarik M, Sispera L, Tilser I, Holecek M. Protein metabolism in slow- and fast-twitch skeletal muscle during turpentine-induced inflammation. Int J Exp Pathol. 2008;89: 64–71. pmid:18197871
  165. 165. Luck M, Le Moyec L, Barrey E, Triba M, Bouchemal N, SAVARIN P, et al. Energetics of endurance exercise in young horses determined by nuclear magnetic resonance metabolomics. Frontiers in Physiology. 2015;6: 198. pmid:26347654
  166. 166. Le Moyec L, Robert C, Triba MN, Billat VL, Mata X, Schibler L, et al. Protein catabolism and high lipid metabolism associated with long-distance exercise are revealed by plasma NMR metabolomics in endurance horses. PLoS One. 2014;9: 1–10. pmid:24658361
  167. 167. MacLennan PA, Brown RA, Rennie MJ. A positive relationship between protein synthetic rate and intracellular glutamine concentration in perfused rat skeletal muscle. FEBS Lett. 1987;215: 187–191. pmid:2883028
  168. 168. Zhou X, Thompson JR. Regulation of protein turnover by glutamine in heat-shocked skeletal myotubes. Biochim Biophys Acta—Mol Cell Res. 1997;1357: 234–242. pmid:9223627
  169. 169. Cruzat VF. Chapter 18—Glutamine and Skeletal Muscle. In: Walrand SBT-Nand SM, editor. Nutrition and Skeletal Muscle. Academic Press; 2019. pp. 299–313. https://doi.org/10.1016/B978-0-12-810422-4.00017–8
  170. 170. Parry-Billings M, Leighton B, Dimitriadis G, De Vasconcelos PRL, Newsholme EA. Skeletal muscle glutamine metabolism during sepsis in the rat. Int J Biochem. 1989;21: 419–423. pmid:2744210
  171. 171. Santos RVT, Caperuto ÉC, Costa Rosa LFBP. Effects of acute exhaustive physical exercise upon glutamine metabolism of lymphocytes from trained rats. Life Sci. 2007;80: 573–578. pmid:17123550
  172. 172. Castell LM. Does glutamine have a role in reducing infections in athletes? Eur J Appl Physiol Occup Physiol. 1996;73: 488–490. pmid:8803512
  173. 173. Rowbottom DG, Keast D, Morton AR. The Emerging Role of Glutamine as an Indicator of Exercise Stress and Overtraining. Sport Med.. 1996;21: 80–97. pmid:8775515
  174. 174. Varnier M, Leese GP, Thompson J, Rennie MJ. Stimulatory effect of glutamine on glycogen accumulation in human skeletal muscle. Am J Physiol Metab. 1995;269: 309–315. pmid:7653548
  175. 175. Hankard RG, Haymond MW, Darmaun D. Role of glucose in the regulation of glutamine metabolism in health and in type 1 insulin-dependent diabetes. Am J Physiol Metab. 2000;279: 608–613.
  176. 176. Hankard RG, Haymond MW, Darmaun D. Role of Glutamine as a Glucose Precursor in Fasting Humans. Diabetes. 1997;46: 1535–1541. pmid:9313746
  177. 177. Bakalar B, Duska F, Pachl J, Fric M, Otahal M, Pazout J, et al. Parenterally administered dipeptide alanyl-glutamine prevents worsening of insulin sensitivity in multiple-trauma patients. Crit Care Med. 2006;34: 381–386. pmid:16424718
  178. 178. Darmaun D, Hayes V, Schaeffer D, Welch S, Mauras N. Effects of Glutamine and Recombinant Human Growth Hormone on Protein Metabolism in Prepubertal Children with Cystic Fibrosis. J Clin Endocrinol Metab. 2004;89: 1146–1152.
  179. 179. Déchelotte P, Hasselmann M, Cynober L, Allaouchiche B, Coëffier M, Hecketsweiler B, et al. L-alanyl-L-glutamine dipeptide–supplemented total parenteral nutrition reduces infectious complications and glucose intolerance in critically ill patients: The French controlled, randomized, double-blind, multicenter study. Crit Care Med. 2006;34. pmid:16505644
  180. 180. Prada PO, Hirabara SM, Souza CT de, Schenka AA, Zecchin HG, Vassallo J, et al. l-glutamine supplementation induces insulin resistance in adipose tissue and improves insulin signalling in liver and muscle of rats with diet-induced obesity. Diabetologia. 2007;50: 1949–1959.
  181. 181. Samocha-Bonet D, Wong O, Synnott E-L, Piyaratna N, Douglas A, Gribble FM, et al. Glutamine reduces postprandial glycemia and augments the glucagon-like peptide-1 response in type 2 diabetes patients. J Nutr. 2011;141: 1233–1238. pmid:21593352
  182. 182. Guo H, Liu J, Van Shura K, Chen HZ, Flora MN, Myers TM, et al. N-acetyl-aspartyl-glutamate and inhibition of glutamate carboxypeptidases protects against soman-induced neuropathology. Neurotoxicology. 2015;48: 180–191. pmid:25825357
  183. 183. Derave W, De Courten B, Baba SP. An update on carnosine and anserine research. Amino Acids. 2019;51: 1–4.
  184. 184. da Silva RP, de Oliveira LF, Saunders B, de Andrade Kratz C, de Salles Painelli V, da Eira Silva V, et al. Effects of β-alanine and sodium bicarbonate supplementation on the estimated energy system contribution during high-intensity intermittent exercise. Amino Acids. 2019;51: 83–96. pmid:30182286
  185. 185. Harris RC, Tallon MJ, Dunnett M, Boobis L, Coakley J, Kim HJ, et al. The absorption of orally supplied β-alanine and its effect on muscle carnosine synthesis in human vastus lateralis. Amino Acids. 2006;30: 279–289. pmid:16554972
  186. 186. Derave W, Sale C. Carnosine in exercise and disease: introduction to the International Congress held at Ghent University, Belgium, July 2011. Amino Acids. 2012;43: 1–4.
  187. 187. Baguet A, Bourgois J, Vanhee L, Achten E, Derave W. Important role of muscle carnosine in rowing performance. J Appl Physiol. 2010;109: 1096–1101. pmid:20671038
  188. 188. Suzuki Y, Ito O, Mukai N, Takahashi H, Takamatsu K. High Level of Skeletal Muscle Carnosine Contributes to the Latter Half of Exercise Performance during 30-s Maximal Cycle Ergometer Sprinting. Jpn J Physiol. 2002;52: 199–205. pmid:12139778
  189. 189. Baguet A, Everaert I, Achten E, Thomis M, Derave W. The influence of sex, age and heritability on human skeletal muscle carnosine content. Amino Acids. 2012;43: 13–20. pmid:22170500
  190. 190. Davis TA, Karl IE, Tegtmeyer ED, Osborne DF, Klahr S, Harter HR. Muscle protein turnover: effects of exercise training and renal insufficiency. Am J Physiol Metab. 1985;248: E337–E345. pmid:3883805
  191. 191. Buse MG, Weigand DA. Studies concerning the specificity of the effect of leucine on the turnover of proteins in muscles of control and diabetic rats. Biochim Biophys Acta—Nucleic Acids Protein Synth. 1977;475: 81–89. pmid:139165
  192. 192. Viru A, Varrik E, Eepik V, Pekhme A. Protein metabolism in the muscles following muscular work. Fiziol Zhurnal SSSR. 1984;70: 1624–1628. pmid:6519299
  193. 193. Castell L, Yamamoto T, Phoenix J, Newsholme E. The role of tryptophan in fatigue in different conditions of stress. Adv Exp Med Biol. 1999;467: 697–704. pmid:10721121
  194. 194. Javierre C, Segura R, Ventura JL, Suárez A, Rosés JM. L-Tryptophan Supplementation Can Decrease Fatigue Perception During an Aerobic Exercise with Supramaximal Intercalated Anaerobic Bouts in Young Healthy Men. Int J Neurosci. 2010;120: 319–327. pmid:20402569
  195. 195. Blomstrand E, Celsing F, Newsholm EA. Changes in plasma concentrations of aromatic and branched-chain amino acids during sustained exercise in man and their possible role in fatigue. Acta Physiol Scand. 1988;133: 115–121. pmid:3227900
  196. 196. Lehmann M, Huonker M, Dimeo F, Heinz N, Gastmann U, Treis N, et al. Serum Amino Acid Concentrations in Nine Athletes Before and After the 1993 Colmar Ultra Triathlon. Int J Sport Med.. 1995;16: 155–159.
  197. 197. Davis J, Bailey S, Woods J, Galiano F, Hamilton M, Bartoli W. Effects of carbohydrate feedings on plasma free tryptophan and branched-chain amino acids during prolonged cycling. Eur J Appl Physiol Occup Physiol. 1992;65: 513–519. pmid:1483439
  198. 198. Rezende RM, Pelúzio M do CG, de Jesus Silva F, Lucia EM Della, Favarato LSC, Martino HSD, et al. Does aerobic exercise associated with tryptophan supplementation attenuates hyperalgesia and inflammation in female rats with experimental fibromyalgia? PLoS One. 2019;14: 1–14. pmid:30785911
  199. 199. Gryp T, Vanholder R, Vaneechoutte M, Glorieux G. p-Cresyl Sulfate. Toxins (Basel). 2017;9: 52. pmid:28146081
  200. 200. Saey V, Tang J, Ducatelle R, Croubels S, De Baere S, Schauvliege S, et al. Elevated urinary excretion of free pyridinoline in Friesian horses suggests a breed-specific increase in collagen degradation. BMC Vet Res. 2018;14: 1–7. pmid:29699546
  201. 201. Ploeg M, Saey V, Delesalle C, Gröne A, Ducatelle R, de Bruijn M, et al. Thoracic Aortic Rupture and Aortopulmonary Fistulation in the Friesian Horse: Histomorphologic Characterization. Vet Pathol. 2015;52: 152–159. pmid:24741028
  202. 202. Ploeg M, Saey V, van Loon G, Delesalle G. Thoracic aortic rupture in horses. Equine Vet J. 2017;49: 269–274. pmid:27783422
  203. 203. Saey V, Famaey N, Smoljkic M, Claeys E, van Loon G, Ducatelle R, et al. Biomechanical and biochemical properties of the thoracic aorta in warmblood horses, Friesian horses, and Friesians with aortic rupture. BMC Vet Res. 2015;11: 285.
  204. 204. Aoi W, Ogaya Y, Takami M, Konishi T, Sauchi Y, Park EY, et al. Glutathione supplementation suppresses muscle fatigue induced by prolonged exercise via improved aerobic metabolism. J Int Soc Sports Nutr. 2015;12: 7. pmid:25685110
  205. 205. Baldelli S, Ciccarone F, Limongi D, Checconi P, Palamara AT, Ciriolo MR. Glutathione and nitric oxide: Key team players in use and disuse of skeletal muscle. Nutrients. 2019;11: 1–18. pmid:31575008
  206. 206. Abdullah M, Kornegay JN, Honcoop A, Parry TL, Balog-Alvarez CJ, O’Neal SK, et al. Non-Targeted Metabolomics Analysis of Golden Retriever Muscular Dystrophy-Affected Muscles Reveals Alterations in Arginine and Proline Metabolism, and Elevations in Glutamic and Oleic Acid In Vivo. Metabolites. 2017;7: 38. pmid:33419191
  207. 207. Schaun MI, Dipp T, da Silva Rossato J, Wilhelm EN, Pinto R, Rech A, et al. The effects of periodized concurrent and aerobic training on oxidative stress parameters, endothelial function and immune response in sedentary male individuals of middle age. Cell Biochem Funct. 2011;29: 534–542. pmid:21780310
  208. 208. Elosua R, Molina L, Fito M, Arquer A, Sanchez-Quesada JL, Covas MI, et al. Response of oxidative stress biomarkers to a 16-week aerobic physical activity program, and to acute physical activity, in healthy young men and women. Atherosclerosis. 2003;167: 327–334.
  209. 209. Wärnberg J, Cunningham K, Romeo J, Marcos A. Physical activity, exercise and low-grade systemic inflammation. Proc Nutr Soc. 2010/07/02. 2010;69: 400–406. pmid:20598198