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Abstract
Streptococcus uberis is frequently isolated from milk collected from dairy cows with mastitis. According to the host’s immunity, bacterial virulence, and their interaction, infection with some strains can induce persistent subclinical inflammation, while infection with others induces severe inflammation and transient mastitis. This study compared the inflammatory response of milk-isolated white blood cells (mWBCs) to persistent and transient S. uberis strains. Quarter milk samples were collected aseptically for bacterial culture from all lactating cows once a week over a 10-week period. A transient and noncapsular strain with a 1-week intramammary infection duration was selected from this herd, while a persistent and capsular S. uberis strain with an intramammary infection longer than 2 months from our previous study was selected based on an identical pulse field gel electrophoresis pattern during the IMI episode. Cellular and molecular responses of mWBCs were tested, and the data were analyzed using repeated analysis of variance. The results showed a higher response in migration, reactive oxygen species generation, and bacterial killing when cells were stimulated with transient S. uberis. In contrast, the persistent strain led to increased neutrophil extracellular trap release. This study also highlighted several important molecular aspects of mWBCs. Gene expression analyses by real-time RT-PCR revealed a significant elevation in the expression of Toll-like receptors (TLR-1, TLR-2, TLR-6) and proinflammatory cytokines (tumor necrosis factor-alpha or TNF-α) with the transient strain. Additionally, Streptococcus uberis capsule formation might contribute to the capability of these strains to induce different immune responses. Altogether, these results focus on the immune function of activated mWBCs which demonstrate that a transient strain can elicit a stronger local immune response and, subsequently, lead to rapid recovery from mastitis.
Citation: Srithanasuwan A, Schukken YH, Pangprasit N, Chuammitri P, Suriyasathaporn W (2024) Different cellular and molecular responses of Bovine milk phagocytes to persistent and transient strains of Streptococcus uberis causing mastitis. PLoS ONE 19(1): e0295547. https://doi.org/10.1371/journal.pone.0295547
Editor: Pierre Germon, INRAE Centre Val de Loire: Institut National de Recherche pour l’Agriculture l’Alimentation et l’Environnement Centre Val de Loire, FRANCE
Received: May 12, 2023; Accepted: November 24, 2023; Published: January 11, 2024
Copyright: © 2024 Srithanasuwan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: Thailand Research Fund and Thailand Science Research and Innovation Grant number: PHD/0220/2561 https://rgj.trf.or.th/main/home/ Anyaphat Srithanasuwan.
Competing interests: The authors have declared that no competing interests exist.
Introduction
The duration and severity of mastitis in dairy cows are determined by the combination of the following 3 components: udder defense efficiency, quantity and virulence of invading microbes, and environmental risk factors [1, 2]. An effective immune response can completely remove the invading bacteria and cause a short-term infection, here defined as a transient infection [3]. In the case of the unsuccessful elimination of bacteria, a persistent infection may occur, and a duration longer than 2 months is termed a persistent infection [4, 5].
Streptococcus uberis is a major environmental mastitis pathogen, indicating that the source of the infection lies in the cow’s environment. However, many molecular epidemiology studies on S. uberis intramammary infections in populations of animals indicate contagious transmission [5, 6]. This bacterium has been reported to cause intramammary infection (IMIs) with a wide range of durations [3, 7, 8]. Environmental S. uberis strains commonly cause transient IMI, but strains showing contagious behavior can cause either transient IMI, persistent IMI, or both [5]. Consequently, within-strain variation in the immune response to and pathogenicity of S. uberis IMI has been reported [9, 10]. As reported in our previous study [11] and in the study of Fu, Zhou, Qiu, Chen, Zhang and Miao [12], IMI caused by S. uberis was linked to the expression of different virulence genes, especially hasA/B and lbp. The gene relating to capsule formation, hasA/B, was considered to reduce virulence with a consequent reduction in resistance to the bactericidal action of immune cells. Additionally, our previous study [11] found that the majority of patterns of the for transient S. uberis isolated (63.6%) did not include hasA/B. Given the substantial variation in S. uberis strains, the interaction between S. uberis strains, IMI, and host immunity is intricate and remains largely uncharacterized.
The innate immune system plays a critical role in response to an IMI and may respond to invading microbes through a combination of natural defensive barriers such as phagocytes, complements, cytokines, and antimicrobial peptides [1, 13]. After recognition of invading microbes, Toll-like receptors (TLRs) trigger signaling pathways that result in the secretion of cytokines and chemokines, including interleukin-1 (IL-1β), interleukin-6 (IL-6), and interleukin-8 (IL-8). These cytokines are involved in recruiting phagocytes to the site of infection and activating pathogen-killing mechanisms [14, 15]. Intramammary phagocytes have varying phenotypes, response profiles, and fates according to how and where they are recruited into tissues from the blood [16]. Previous studies have reported a reduction in the viability and efficacy of activated phagocytes after diapedesis into the mammary gland [17, 18]. These pre-stimulated milk phagocytes have been activated and progressively become functionally exhausted cells due to the interference of milk components with cellular activities, subsequently reducing the antimicrobial activities of these affected cells.
The causal pathogens entering the mammary gland also affect the efficacy of the immune response [19, 20]. Several studies have examined the species-specific immune response against major mastitis pathogens such as Escherichia coli, Staphylococcus aureus, and Streptococcus agalactiae [21–23]. Escherichia coli, typically transient in nature, will quickly elicit strong inflammation of the udder and fully activate immune defense [24]. Whereas gram-positive bacteria (such as S. aureus and S. agalactiae) will slowly elicit a much weaker inflammation and immune response, frequently resulting in chronic infections. Furthermore, between-strain variability within bacterial species has been recently demonstrated, such as acute and persistent E. coli [25, 26] and S. aureus strains [27, 28]. However, knowledge of the strain-specific immune response of activated milk phagocytes to S. uberis is very limited. Hence, the current study was carried out to study the effector functions of milk phagocytes in response to different strains of S. uberis that cause mastitis. This study elucidates the strain-specific immune response of milk phagocytes stimulated with a transient or persistent S. uberis strain. We determined gene expression related to the immune response in exposed phagocytes through comprehensive gene expression analysis.
Materials and methods
Milk sample collection and bacterial selection
This study was performed from November to December 2019 and authorized by the Chiang Mai University—Animal Care and Use Committee (Ref no. S26/2562). A smallholder dairy farm with a high bulk milk SCC (>1,000,000 cells/mL) was investigated in October 2019 by the staff of the Faculty of Veterinary Medicine, Chiang Mai University. The results showed that S. uberis IMI was the dominant problem in this herd. A series of longitudinal studies were performed to monitor the dynamics of S. uberis IMI in this herd. Quarter milk samples from all cows were aseptically collected once a week. In all obtained milk samples, bacteriological culture, and identification were performed according to NMC standards [29]. Briefly, 0.01 mL of milk samples were cultured on a quarter of a 5% bovine blood agar plate and incubated for up to 24 h at 37°C. Colony morphology and biochemical tests were used for initial bacterial identification. Then, the identified S. uberis isolates were confirmed by PCR amplification [30].
The results of bacterial identification were used to determine whether S. uberis IMI could be classified as either a transient or persistent episode. Transient infections were defined as IMI with a duration of less than one week, whereas IMI with an infection duration of 8 weeks or longer was defined as a persistent infection [3, 31, 32]. Therefore, a transient S. uberis strain with a 1-week duration was selected from this herd, while a persistent S. uberis strain was obtained from our previous study [5]. The represented persistent strain was the dominant strain in the herd and was presumably contagiously transmitted in the herd and caused persistent intramammary infections for more than 10 months, confirmed by a similar PFGE pattern. The whole genome shotgun sequences of both transient [11] and persistent [5] S. uberis strains have been deposited at GenBank under the Biosample SAMN30958928 and SAMN30958927, respectively. Both of these strains were used as stimulating pathogens for the immune function tests.
Preparation of milk-isolated white blood cells (mWBCs)
Five quarters with high SCC (SCC > 500,000 cells/ml) and negative bacterial results were sampled once during the study to obtain cells for immune tests. Thirty milliliters of the milk sample from each quarter were collected and immediately transported to the laboratory for mWBCs isolation. Briefly, quarter milk was centrifuged at 1,000 ×g for 10 min (Allegra X-15R Centrifuge, Beckman Coulter, Brea, CA, USA), and then the cream and whey layer was discarded. The remaining cell pellet was washed twice with Hank’s balanced salt solution (HBSS, Sigma–Aldrich, St. Louis, MO, USA) and resuspended in cold RPMI-1640 medium (Gibco, Thermo Fisher Scientific, Waltham, MA, USA) supplemented with 1% heat-inactivated FBS (Gibco). Thereafter, the viability of retrieved mWBCs was assessed by trypan blue dye exclusion. The concentrations of mWBCs ranged between 1.2 and 7.6 × 106 cells/mL with ≥ 95% viability. The differential cell counts of milk were determined from cytospin preparation slides. At least 500 cells from 5 random fields were manually counted and characterized mainly as neutrophils (60–65%), followed by macrophages. Finally, the mWBCs density was adjusted to approximately 1 × 106 cells/mL. The isolated mWBCs were randomly allocated into three cell populations, including an unstimulated population (HBSS) and populations stimulated with either the transient or persistent strain of S. uberis.
Bacterial preparation for the immune function test
The selected bacterial isolates were recovered from stock (−80°C in brain heart infusion, 20% glycerol) in tryptic soy broth (TSB, HIMEDIA, Mumbai, India) and incubated aerobically at 37°C overnight. After, the inoculums were cultured on 5% bovine blood agar (HIMEDIA, Mumbai, India, with 5% washed bovine erythrocytes) at 37°C for 24 h. The bacterial inoculum was adjusted to approximately 108 CFU/ml. For migration, bacterial killing, and NETosis assays, S. uberis bacteria were opsonized with 10% heat-inactivated normal bovine serum for 20 min at 37°C prior to use in the experiments. For phagocytosis and ROS assays, fluorescent S. uberis was prepared according to Chuammitri, Amphaiphan and Nojit [33] and Chuammitri, Srikok, Saipinta and Boonyayatra [34] with modifications. In brief, bacterial pellets (108 CFU/mL) were stained with H2DCFDA (Invitrogen, Thermo Fisher Scientific, Waltham, MA, USA) or propidium iodide (Sigma–Aldrich) for ROS and phagocytosis assays, respectively. The fluorescently labeled S. uberis was resuspended, the inoculum was adjusted to 108 CFU/mL with HBSS, and the samples were stored at 4°C until use.
Immune function of milk-isolated white blood cells (mWBCs)
Transwell In Vitro migration assay.
Briefly, 600 μL of RPMI-1640 or live S. uberis (3 × 105 bacteria) were separately seeded into the lower chambers of a Transwell device. Then, a polycarbonate membrane Transwell insert (8 μm pore size, Corning, Corning, NY, USA) was placed over the lower chambers. One hundred microliters of mWBCs were added to Transwell inserts or upper chamber and incubated for 60 minutes at 37°C. After incubation, the liquid portion of the lower chamber containing migrated cells was collected for further analysis. Migrated cells were counted using forward scatter (FSC) and side scatter (SSC) in a flow cytometer according to a previously reported method [35].
Phagocytosis assay.
The phagocytosis assay was performed as previously described with modifications [33]. Treated mWBCs (3 × 105 cells) were mixed with opsonized fluorescently labeled transient S. uberis (MOI of 10) in duplicate in a 96-well plate. Labeling of persistent S. uberis strains was not successful (see discussion). The cell mixture was centrifuged at 1200 rpm for 3 min and incubated at 37°C and 5% CO2 for 45 min. Data acquisitions (10,000 events) were performed by a CyAn ADP High-Performance Flow Cytometer (Beckman Coulter) with red laser (638 nm). Data were analyzed by FlowJo 10 (Treestar, Ashland, OR, USA) [36].
Intracellular reactive oxygen species (ROS) assay.
To measure ROS production, mWBCs were activated to produce ROS with S. uberis (MOI of 10) in PBS with Ca2+/Mg2+ and then the cells were incubated for 30 min at 37°C with 5% CO2. Subsequently, 10 μM H2DCF-DA (Thermo Fisher Scientific, Waltham, MA, USA) was loaded into each well to stain intracellular H2O2 and the samples were incubated in the dark for 15 min [33]. Data acquisition and analysis were performed as stated in the phagocytosis assay with green laser (561 nm).
Bacterial killing assay.
To measure the percentage of viable bacteria, a semiquantitative 2,5-diphenyl-2H-tetrazolium bromide (MTT) assay was used [33]. For this assay, mWBCs (3 × 105 cells) were loaded into duplicate wells of a 96-well plate, and opsonized S. uberis was added to the MOI at 10 bacteria to 1 mWBC. Subsequently, the plate was centrifuged (1200 rpm, 3 min) and placed in an incubator for 45 min. After incubation, the plate was again centrifuged to remove non-ingested bacteria. Hypotonic solution (diH2O) was used to release internalized bacteria from lysed neutrophils. Then, TSB mixed with 2 mg/ml MTT was added to all wells and the plates were incubated for 90 min at 37°C. Dimethyl sulfoxide (DMSO) was added to solubilize the MTT-insoluble formazan to colored crystals. Colorimetric detection was performed at a wavelength of 570 nm. The percentage of killing was calculated by substituting the measured OD values into the following formula:
Neutrophil extracellular trap (NET) assay.
The mWBCs (3 × 105 cells) were seeded in a 96-well flat plate in duplicate. Live S. uberis (3 × 106 bacteria) was added to all wells. Subsequently, HBSS-CM was added and the samples were incubated at 37°C and 5% CO2 for 150 min. The plate was centrifuged at 1200 rpm for 3 min and the samples were resuspended in cold RPMI-1640. The supernatant containing extracellular DNA was transferred to new plates. NET-DNA was quantified using a fluorescent dye (Hoechst 33342, Thermo Fisher Scientific, Waltham, MA, USA) [35]. Fluorescence measurement of stained NETs was performed with a Synergy™ HT Multi-Detection Microplate Reader using an excitation wavelength of 360 nm and an emission wavelength of 470 nm. The relative fluorescence units (RFU) were recorded. NET structures were also confirmed by staining the NET structure with Hoechst 33342 (nuclei) and visualization with fluorescence microscopy, as described in a previous publication [35].
Gene expression in milk-isolated white blood cells (mWBCs) by real-time RT-PCR.
To investigate the gene expression of mWBCs after encountering transient and persistent S. uberis (MOI of 10) for 2 h, RNAlater-preserved RNA (Invitrogen) was extracted using RNAzol®RT (Sigma-Aldrich, St. Louis, MO, USA) following the manufacturer’s instructions. RNA yields and concentrations were measured using a DU 730 nanoVette UV/VIS spectrophotometer (Beckman Coulter). RNA purity was assessed using the A260/A280 ratio, and only samples with a ratio greater than 1.8 were selected for analysis. Twenty nanograms of total RNA was used for cDNA synthesis with a cDNA Synthesis Kit (Bioline, Taunton, MA, USA). To determine mRNA expression, 100 nanograms of cDNA was analyzed using real-time RT-PCR with a SensiFAST SYBR Hi-ROX Kit (Bioline, Taunton, MA, USA). The oligonucleotide primers used in this study are presented in Table 1. These primers included targets for Toll-like receptor genes (TLR1, TLR2, and TLR6), proinflammatory cytokines (TNF-α, IL-1β, and IL-8), gene-associated phagocytosis (RAC-1 and LAMP-1) and gene-associated ROS (SOD-1 and NOX). Measurements of the levels of gene expression were performed on an Applied Biosystems 7300 real-time PCR system equipped with SDS software v1.4 (Life Technologies) Subsequently, specificity was confirmed by dissociation curve analysis (Tm). Actin Beta (ACTB) was used as internal control for gene expression normalization. The averages of intra-coefficient of variation (CV) values of ACTB were 1.588%, 0.977%, and 0.824% for unstimulated, stimulated with transient, and persistent S. uberis, respectively, which are below 10% indicating that ACTB was a reliable reference gene. The expression levels (fold difference) were reported using the 2–ΔΔCT method [37].
Statistical analysis
Statistical analysis was performed using the SAS University Edition (SAS Institute Inc., Cary, NC). When necessary, data were log10 transformed to maintain the assumption of normality. Statistical significance was assigned at a P < 0.05. The differences in immune responses after restimulation with two different strains of S. uberis were determined using repeated analysis of variance (ANOVA) to compare the means of the three treatment groups. The least-square means with Tukey’s HSD adjustment was used to compare the groups, and statistical significance was assigned at a P < 0.05. Information obtained from the statistical analysis was presented as graphs generated by GraphPad Prism version 6 (GraphPad Software, San Diego, CA). Gene expression patterns are presented in the form of boxplots and heatmaps.
Results
Flow cytometry results measuring mWBCs migration toward live S. uberis strains or HBSS are shown in Fig 1. The density of the dots indicates the number of migrated cells. Among the 3 stimulants, the highest density of mWBCs was found when migrating toward the transient S. uberis, as depicted in Fig 1B. Significant differences in the number of migrated mWBCs were found in response to transient S. uberis (6365.2 ± 951 cells, p < 0.05) compared to persistent S. uberis or HBSS. No significant difference was found in the number of migrated cells toward persistent S. uberis compared to HBSS (714 ± 41.1 and 310 ± 117.0 cells, respectively). The in vitro phagocytosis of PI-labeled transient S. uberis by mWBCs is depicted in Fig 2. Encounters with transient S. uberis resulted in significantly reduced phagocytosis of stimulated mWBCs (22.2 ± 2.2) compared to that with HBSS (36.4 ± 3.7; p < 0.05, Fig 2B). However, as shown in Fig 2C, PI-labeled S. uberis was phagocytosed by mWBCs.
(A-C) Dot plots show the quantity of migrated cells following exposure to various stimulants. (D) Bar graphs show the number of migrated cells toward HBSS and transient and persistent S. uberis. Data are the mean ± SEM of three independent experiments (n = 5 each treatment), a,b p < 0.05.
(A) Dot plots and histograms show phagocytosis of fluorescently labeled transient S. uberis in stimulated milk cells. (B) Bar graphs show the mean fluorescence intensity (MFI), an indicator of the percentage of phagocytosis in response to either HBSS or transient S. uberis. Data shown are the mean ± SEM of three independent experiments (n = 5 each treatment), a,b p < 0.05. The arrowhead points to phagocytosing milk leukocytes, 200× magnification. (C) Representative images of phagocytic cells as visualized by PI-stained transient S. uberis.
The histogram presenting the MFI of ROS production against different stimuli is depicted in Fig 3B. Flow cytometry data showed that mWBCs stimulated with transient S. uberis produced significantly larger amounts of ROS (1657.2 ± 138) than those stimulated with persistent S. uberis and HBSS (587 ± 76.5 and 555 ± 23.7, respectively, p < 0.0001). As depicted in Fig 3C, fluorescently stained cells indicated the intracellular ROS production of mWBCs stimulated by S. uberis and H2O2. These observations confirmed that S. uberis cells stimulated the production of intracellular ROS at the same level as H2O2, which served as a positive stimulus control. With regard to the intracellular antibacterial mechanisms, the percentage of killed bacteria was significantly higher in the case of the transient strain compared to the persistent strain. The visible difference in the color of MTT revealed that mWBCs killed S. uberis (Fig 4). High amounts of dead transient S. uberis were shown by a less dense purple color. The mWBCs showed a significant difference in the amount of killed bacteria between groups, where the percentage of the bacterial killing of mWBCs for the transient strain (91.75 ± 0.9%) was significantly higher than that for the persistent strain (54.43 ± 4.9%) at p < 0.001.
(A) Dot plots and histograms show the ROS production of treated cells. (B) Bar graphs show the MFI of ROS production induced by HBSS and transient or persistent S. uberis. Data are the mean ± SEM of three independent experiments (n = 5 each treatment), a,b p < 0.05. (C) Characterization of stimulated mWBCs for ROS molecules stained with H2DCFDA for nuclear materials.
Representative images (left) and bar graphs show the percentage of live S. uberis in milk mWBCs in the unstimulated group and the group treated with transient and persistent S. uberis. Data are the mean ± SEM of three independent experiments (n = 5 each treatment), a,b p < 0.05 (Right).
The indirect killing of extracellular S. uberis by NETs was assessed using a fluorescence plate reader. The significant difference in NET release after stimulation with a transient and persistent strain of S. uberis was 1.17 ± 0.1 and 1.03 ± 0.1, respectively (p = 0.001, Fig 5A). As shown in Fig 5B, the extracellular structures of NETs were also visually confirmed by cytospin preparation slides after DipQuick staining. The NET structures stimulated by different stimulants showed different DNA-stained structures that protruded and lengthened away from the S. uberis-stimulated cells. The protruded DNA of mWBCs stimulated by persistent S. uberis showed a NET-like structure that was comparable to the positive control using PMA, while a hook-like NET structure was found in following exposure to transient S. uberis. Gene Expression in mWBCs.
The bar graphs show the quantity of NETs in the unstimulated (HBSS) and stimulated with either transient or persistent S. uberis groups. The average data of the relative NET index over unstimulated group ± SEM of three independent experiments (n = 5 per treatment); a,b p < 0.05. (B) Representative images from cytospin preparation slides depict NET structures at the resting stage and following stimulation by phorbol-12-myristate-13-acetate (PMA; positive control), transient and persistent S. uberis as visualized by DipQuick staining, 20x magnification.
The differential mRNA expression of S. uberis-activated mWBCs after stimulation for 2 h is shown in Fig 6. As shown in Fig 6B, our findings indicated that most genes were significantly upregulated in mWBCs activated with transient S. uberis, except genes involved in phagocytosis (RAC) and inflammatory cytokines (IL-8). For the recognition genes, significantly higher expression of the TLR1 and TLR2 genes was observed in transient S. uberis compared to persistent S. uberis (p < 0.05). The genes were elevated 1.737-fold and 1.339-fold for TLR1 and TLR2 upon transient S. uberis stimulation compared to unstimulated group, respectively. For proinflammatory cytokine genes, TNF-α expression in both S. uberis stimulations was significantly higher than that in the HBSS control group, whereas the expression of IL-8 was significantly lower in both the transient and persistent S. uberis groups than the HBSS group. Additionally, the expression of NOX-1, a gene related to oxidase production, was significantly higher following exposure with persistent S. uberis (2.695-fold) than with transient S. uberis (1.299-fold, p < 0.05). No significant difference was found in the expression of the genes RAC-1, LAMP-1, SOD-1, and IL-1β.
The heatmap (A) shows relative TLR-1, TLR-2, TLR-6, RAC, LAMP-1, SOD-1, NOX-1, IL-1β, TNF-a, and IL-8 expression after normalization to 3-actin expression in the unstimulated, transient or persistent S. uberis groups. (B) The bar graph shows the results represented as the mean ± SEM (n = 5 each treatment), one-way ANOVA, a,b p < 0.05, x,y p < 0.1.
To summarize the expression patterns described above, a heatmap was generated using the qRT‒PCR results, and it depicted a z score, shown as a color scale, of relative mRNA abundance after the stimulation of the mWBCs with either transient or persistent S. uberis. This heatmap of gene expression that indicates the expression of genes is presented in Fig 6A, where a blue color represents low expression, and a red color represents high expression. The overall mRNA expression was low to moderate after stimulation. However, TNF-α, RAC, and IL-8 were highly expressed (red color indication), and the highest mRNA levels were found in transient, persistent, and unstimulated groups of mWBCs, respectively.
Discussion
This study aimed to differentiate the in vitro immune response of milk WBCs against two S. uberis strains that induce different durations of IMI and with or without a spontaneous cure. These two strains were defined as giving rise to either transient (1 week in spontaneous cure) or persistent IMI (>2 months without an observed spontaneous cure and confirmed persistence by PFGE pattern). The persistent strain was referred to as PFGE type A by Leelahapongsathon, Schukken, Srithanasuwan and Suriyasathaporn [5]. According to the marked differences in effector functions, gene expression, especially that of TLR and TNF-α genes, and genomic data, significant phenotypic and genotypic differences between exposure to transient and persistent S. uberis strains were observed. We hypothesize that these observations may be generalized, meaning that the two strains used here represent strains in each IMI group. Since only two strains were used in this study, the results should be interpreted with care. However, the strains were obtained under field conditions and met quite extreme IMI duration criteria. Moreover, both strains utilized in this study were isolated from herds that took part in a mastitis investigation, and S. uberis was found to be the dominant pathogen. Due to the continuing poor milk quality management in farms, high rates of transient and persistent IMI results in continuous dominance of S. uberis infections. However, despite the limited number of tested strains, the results of inter-strain differences are consistent with previous studies [26, 39] and revealed specific characteristics of either transient or persistent S. uberis.
In general, S. uberis appears as small (1–3 mm in diameter) translucent colonies with a moist, convex, and dense center. S. uberis has several virulence factors, including SUAM, which is involved in adherence to, internalization into, and persistence of S. uberis in bovine mammary epithelial cells [40]. In our previous study, we found that both of these S. uberis strains showed S. uberis adhesive molecule (SUAM) [41] as one of their virulence factor genes [11]. The persistent strain used in this study expressed the hasABC locus responsible for the production of hyaluronic acid capsules [11]. These physiological differences may relate to differences in the in vitro immune response; for example, bacterial resistance to phagocytosis and susceptibility to antimicrobials [42, 43]. This phenotypic heterogeneity in biofilm production exhibited by S. uberis could at least partly explain why this bacterium has the ability to adapt to different niches and survive under diverse and stressful conditions [44].
The presence of genetic markers such as the hasABC locus may eventually lead to a biomarker that may be used to identify high-risk strains for persistent S. uberis IMI. Such genetic tools would be very helpful in developing selective control programs for either transient or persistent S. uberis strains [6]. An abundance of persistent strains in a herd would point to control programs closely related to contagious mastitis control and focus on reducing duration and transmission. However, an abundance of transient strains in a herd would point to control programs for environmental mastitis with a focus on infection reduction and reducing the severity of the inflammatory response. A much larger collection of transient and persistent isolates would be essential to identify such bacteriological biomarkers.
Milk WBCs were used instead of blood WBCs to closely imitate the udder defense mechanism after bacterial invasion. Differences in immune functions were observed between activated polymorphonuclear leukocytes (PMNs), such as peritoneal exudate PMNs, and nonactivated bone marrow PMNs, whereby the activated PMNs are fully primed when isolated [45]. Thus, activated PMNs were more appropriate for investigations into the pathophysiological functions of PMNs at sites of inflammation [45]. The mWBCs used in this study were obtained from milk samples without any identification of bacteria, indicating no infection in the source quarters. However, the high somatic cell counts observed in these milk samples, ranging between 1.2 and 7.6 x 106 cells/ml, which is in the range of milk with subclinical mastitis [46], might be related to their recent recovery from mastitis. Additionally, the majority of cells found in our study were neutrophils (approximately 60%), indicating a continuing inflammatory response due to neutrophil transmigration to the inflamed mammary gland [17]. In inflamed quarters, the number of neutrophils in the immediate response to acute intramammary infection may reach 90%. The neutrophils in the samples in this study might confirm the status of mWBCs in this study as activated. Therefore, the results of this study should be interpreted carefully, and full interpretation may be limited to the immune function of activated mWBCs.
The quality and quantity of early neutrophil recruitment are critical for bacterial clearance and host survival [47, 48]. The mWBCs in this study were tested for their response related to both the quality and quantity of recruitment. The mWBCs in this study showed expression of some Toll-like receptor genes (TLR-1 and TLR-2) and a proinflammatory cytokine gene (TNF-α). This expression was significantly higher when stimulated with transient S. uberis compared to the expression when stimulated with either unstimulated or persistent S. uberis (Fig 6). Our flow cytometry results also indicated that the number of migrated mWBCs after stimulation with transient S. uberis was higher than that in unstimulated cells or cells stimulated with persistent S. uberis (Fig 1). When TLR activation is triggered, it initiates significant cellular processes such as reactive oxygen species (ROS) generation, production of cytokines, and enhanced survival. These processes, when their signaling is dysregulated, can contribute to the development of chronic inflammation and its associated pathogenesis [49]. Less TLR-1 and TLR-2 expression due to persistent S. uberis might cause persistent intramammary infection. Recognition of conserved bacteria by TLRs leads to a variety of signals related to immune function, including proinflammatory cytokine production, costimulatory molecule upregulation, antimicrobial peptide secretion, and phagosome maturation [50, 51]. Expression of the TNF-α gene promotes neutrophil migration [52]. Fewer migrated mWBCs, as a result of stimulation with persistent S. uberis, support the results of previous studies showing that a lower or delayed influx of PMNs may lead to persistent infection [31, 53]. The lack of a significant difference in migrated mWBCs between unstimulated cells and cells stimulated with persistent S. uberis may be related to the lower expression of TLR1 and the higher TNF-α when stimulated with persistent S. uberis. Different responses between transient and persistent S. uberis can be explained by the theory of bacterial virulence factors [54]. All S. uberis isolated from bovine IMI may adhere to and invade mammary epithelial cells, which requires intact microfilaments and the de novo eukaryotic protein synthesis that is required for bacterial invasion [55]. In our recent study, different patterns of gene expression of 6 virulence factors were found when comparing responses to transient and persistent S. uberis strains [11], where the transient strain had reduced expression of virulence factors.
While freshly migrated PMNs are active phagocytes, continued exposure of PMNs to inhibitory factors in milk, such as fat globules and casein, as our mWBCs before collection, might lead to altered PMN morphology and reduced phagocytosis [17]. In comparison to our selected genes related to phagocytosis, neither RAC nor LAMP-1 expression was different among cells stimulated with HBSS, transient S. uberis, or persistent S. uberis (Fig 6). The phagocytosis measured using flow cytometry in this study was firstly designed to compare the activity between fluorescently labeled transient and persistent S. uberis stimulated mWBCs. Unfortunately, fluorescent labeling of persistent S. uberis could not be performed, and therefore, no phagocytosis test of mWBCs using persistent S. uberis was performed. The inability to label persistent S. uberis might be related to its biofilm formation and production of hyaluronic acid capsules [11], which may interfere with the PI-based staining of encapsulated bacteria [56]. Exposure to S. uberis with hyaluronic acid capsule expression leads to reduced phagocytosis [42], indicating that stimulation with persistent S. uberis might lead to less phagocytosis than stimulation with transient S. uberis. The finding of the lower phagocytosis activity of mWBCs stimulated with S. uberis than mWBCs stimulated with HBSS (Fig 2) might be due to the fluorescent response of mWBC after stimulation. The fluorescence detected in WBC stimulated with HBSS was attributed to autofluorescence with more intensity in the activated PMNs [57] as the mWBC used in this study. The less fluorescence mWBC stimulated with transient S. uberis might be caused by blocking the emission of fluorescent light or quenching the fluorescence of S. uberis within mWBCs by absorbing the excitation light, resulting in a weaker fluorescent intensity as depicted in Fig 2B.
ROS production, i.e., oxidative burst, is a powerful antimicrobial weapon and a major component of the innate immune defense killing mechanism against bacterial and fungal infections [58, 59]. In this study, the killing efficacy of mWBCs after culture with each S. uberis strain showed that mWBCs showed a higher percentage killing of transient S. uberis compared to persistent S. uberis. In support of the results from flow cytometry, in mWBCs, ROS production was significantly higher after stimulation with transient S. uberis than in unstimulated cells or cells stimulated with persistent S. uberis (Fig 3). However, the expression of NOX-1 in mWBCs stimulated with persistent S. uberis was significantly higher than that in cells stimulated with transient S. uberis, while no difference in SOD-1 expression was observed. NOX enzymes, from a family of NADPH oxidases, produce superoxide. Subsequently, superoxide dismutase enzymes (SOD) dismutase this superoxide into H2O2 [60] to prevent the overgrowth of commensal bacteria [61]. The lower expression of genes related to ROS production might indicate that the killing efficacy after phagocytosis of persistent SU was lower. The killing efficacy of the whole process, from adhesion to ROS production and ROS labeling of mWBCs, was higher when cells were stimulated with transient S. uberis. This is likely due to increased migration, higher cytokine production, and increased phagocytosis after stimulation with transient S. uberis, as previously discussed.
Failure of phagocytosis may result in the formation of neutrophil extracellular traps (NETs) with proinflammatory effects [62]. As revealed by this in vitro study, the persistent S. uberis strain induced more NETs with different structures compared to that of the transient strain (Fig 5). This is consistent with other studies that reported a high amount of NET release in persistent infection [63, 64]. Swain, Kushwah, Kaur and Dang [65] described a positive correlation between delayed neutrophil apoptosis, the persistence of neutrophils at the site of infection, and the formation of NETs. Although results from previous studies suggested that the formation of NETs is pathogen-specific [66, 67], the mechanism of strain-specific regulation of NET release has rarely been studied.
Therefore, the results from this current study, similar to that of our previous study, indicate that transient and persistent strains of S. uberis may elicit different immune responses by mWBCs. One of the contributing factors may be the virulence factors of bacteria, such as hyaluronic acid capsules. Knowledge of strain-specific interactions of transient and persistent S. uberis with the host immune response will provide insight and opportunities to ameliorate the severity and duration of intramammary bacterial infections and may eventually lead to better mastitis control programs and interventions. However, the immune response may be affected by ability to colonization due to different virulence of bacteria or interfered by milk components, further investigations, including in vivo studies, should be pursued to better understand the strain-specific response and determine factors that influence the interaction between local immunity and strain-specific S. uberis IMI in the udder microenvironment.
Supporting information
S1 File. Data of CMT score and somatic cell count, RNA concentration and purity values of the samples used in the study, and primer and gene efficiencies.
https://doi.org/10.1371/journal.pone.0295547.s001
(PDF)
S2 File. Illustration of mWBC assay, strain genomic data, and the primer efficiencies for the genes.
https://doi.org/10.1371/journal.pone.0295547.s002
(PDF)
Acknowledgments
The assistance provided by our colleagues, Ms. Nadruedee Leenarach, Mr. Jakkrawut Srachum, and Ms. Laorat Tata, Faculty of Veterinary Medicine and Research Center of Producing and Development of Products and Innovations for Animal Health and Production, Chiang Mai University, Chiang Mai, Thailand, was greatly appreciated.
References
- 1. Suriyasathaporn W, Heuer C, Noordhuizen-Stassen EN, Schukken YH. Hyperketonemia and the impairment of udder defense: A review. Vet Res. 2000; 31(4):397–412.
- 2. Burvenich C, Bannerman DD, Lippolis JD, Peelman L, Nonnecke BJ, Kehrli ME Jr, et al. Cumulative physiological events influence the inflammatory response of the bovine udder to Escherichia coli infections during the transition period. J Dairy Sci. 2007; 90:39–54.
- 3. Pullinger GD, Coffey TJ, Maiden MC, Leigh JA. Multilocus-sequence typing analysis reveals similar populations of Streptococcus uberis are responsible for bovine intramammary infections of short and long duration. Vet Microbiol. 2007; 119:194–204.
- 4. Thompson-Crispi K, Atalla H, Miglior F, Mallard BA. Bovine mastitis: frontiers in immunogenetics. Front Immunol. 2014; 5:493.
- 5. Leelahapongsathon K, Schukken YH, Srithanasuwan A, Suriyasathaporn W. Molecular epidemiology of Streptococcus uberis intramammary infections: Persistent and transient patterns of infection in a dairy herd. J Dairy Sci. 2020; 103(4):3565–3576.
- 6. Zadoks RN, Gillespie BE, Barkema HW, Sampimon OC, Oliver SP, Schukken YH. Clinical, epidemiological and molecular characteristics of Streptococcus uberis infections in dairy herds. Epidemiol Infect. 2003; 130(2):335–349.
- 7. McDougall S, Parkinson TJ, Leyland M, Anniss FM, Fenwick SG. Duration of infection and strain variation in Streptococcus uberis isolated from cows’ milk. J Dairy Sci. 2004; 87(7):2062–2072.
- 8. Leelahapongsathon K, Schukken YH, Pinyopummintr T, Suriyasathaporn W. Comparison of transmission dynamics between Streptococcus uberis and Streptococcus agalactiae intramammary infections. J Dairy Sci. 2016; 99(2):1418–1426.
- 9. Wellnitz O, Berger U, Schaeren W, Bruckmaier R. Mastitis severity induced by two Streptococcus uberis strains is reflected by the mammary immune response in vitro. Schweiz Arch Tierheilkd. 2012; 154(8):317–323.
- 10. Mitra SD, Shome BR, Mani B, Velu D, Banerjee A, Bankar K, et al. Streptococcus uberis ST439 and ST475 induce differential inflammatory responses in a mouse intramammary infection model. Gene. 2016; 585(2):247–255.
- 11. Srithanasuwan A, Pangprasit N, Suriyasathaporn W. Comparison of Virulence Patterns Between Streptococcus uberis Causing Transient and Persistent Intramammary Infection. Front Vet Sci. 2022; 9:806674.
- 12. Fu S, Zhou Y, Qiu Y, Chen W, Zhang J, Miao J. Immune response variations and intestinal flora changes in mastitis induced by three Streptococcus uberis strains. Microbiol Immunol. 2022; 66:113–123.
- 13. Thacker TC, Palmer MV, Waters WR. Associations between cytokine gene expression and pathology in Mycobacterium bovis infected cattle. Vet Immunol Immunopathol. 2007; 119:204–213.
- 14. Stojkovic B, Mullen M P, Donofrio G, McLoughlin RM, Meade KG. Interleukin 8 haplotypes drive divergent responses in uterine endometrial cells and are associated with somatic cell score in Holstein-Friesian cattle. Vet Immunol Immunopathol. 2017; 184:18–28.
- 15. Dinarello CA. Overview of the IL-1 family in innate inflammation and acquired immunity. Immunol Rev. 2018; 281:8–27.
- 16. de Oliveira S, Rosowski EE, Huttenlocher A. Neutrophil migration in infection and wound repair: going forward in reverse. Nat Rev Immunol. 2016; 16:378–391.
- 17. Paape MJ, Bannerman DD, Zhao X, Lee JW. The bovine neutrophil: Structure and function in blood and milk. Vet Res. 2003; 34:597–627.
- 18. Alhussien M, Kaur M, Manjari P, Kimothi SP, Mohanty AK, Dang AK. A comparative study on the blood and milk cell counts of healthy, subclinical, and clinical mastitis Karan Fries cows. Veterinary world. 2015; 8:685–689.
- 19. Alhussien M, Manjari P, Sheikh A, Seman S, Reddi S, Mohanty A, et al. Immunological attributes of blood and milk neutrophils isolated from crossbred cows during different physiological conditions. Czech J Anim Sci. 2016; 61:2016–2223.
- 20. Alhussien MN, Panda BSK, Dang AK. A Comparative Study on Changes in Total and Differential Milk Cell Counts, Activity, and Expression of Milk Phagocytes of Healthy and Mastitic Indigenous Sahiwal Cows. Front Vet Sci. 2021; 8:670811.
- 21. Gunther J, Koy M, Berthold A, Schuberth HJ, Seyfert HM. Comparison of the pathogen species-specific immune response in udder derived cell types and their models. Vet. Res. 2016; 47:22.
- 22. Petzl W, Zerbe H, Günther J, Seyfert HM, Hussen J, Schuberth HJ. Pathogen-specific responses in the bovine udder. Models and immunoprophylactic concepts. Res Vet Sci. 2018; 116:55–61.
- 23. Wellnitz O, Reith P, Haas SC, Meyer HHD. Immune relevant gene expression of mammary epithelial cells and their influence on leukocyte chemotaxis in response to different mastitis pathogens Vet Med-Czech. 2018; 51(4):125–132.
- 24. Günther J, Petzl W, Bauer I, Ponsuksili S, Zerbe H, Schuberth HJ, et al. Differentiating Staphylococcus aureus from Escherichia coli mastitis: S. aureus triggers unbalanced immune-dampening and host cell invasion immediately after udder infection. Sci Rep. 2017; 7:4811.
- 25. Blum SE, Heller ED, Jacoby S, Krifucks O, Leitner G. Comparison of the immune responses associated with experimental bovine mastitis caused by different strains of Escherichia coli. J Dairy Res. 2017; 84:190–197.
- 26. Goulart DB, Mellata M. Escherichia coli Mastitis in Dairy Cattle: Etiology, Diagnosis, and Treatment Challenges. Front Microbiol. 2022; 13:928346.
- 27. Murphy MP, Niedziela DA, Leonard FC, Keane OM. The in vitro host cell immune response to bovine-adapted Staphylococcus aureus varies according to bacterial lineage. Sci Rep. 2019; 9:6134.
- 28. Niedziela DA, Cormican P, Foucras G, Leonard FC, Keane OM. Bovine milk somatic cell transcriptomic response to Staphylococcus aureus is dependent on strain genotype. BMC Genomics. 2021; 22:796.
- 29.
Harmon R, Eberhart R, Jasper D, Langlois B, Wilson R. Microbiological Procedures for the Diagnosis of Bovine Udder Infection, 3rd Edn. Arlington, VA, National Mastitis Council Inc; 1990.
- 30. Shome BR, Das Mitra S, Bhuvana M, Krithiga N, Velu D, Shome R, et al. Multiplex PCR assay for species identification of bovine mastitis pathogens. J Appl Microbiol. 2011; 111(6):1349–1356.
- 31. White LJ, Schukken YH, Dogan B, Green L, Döpfer D, Chappell MJ, et al. Modelling the dynamics of intramammary E. coli infections in dairy cows: understanding mechanisms that distinguish transient from persistent infections. Vet Res. 2010; 41(2):13.
- 32. Abureema S, Smooker P, Malmo J, Deighton M. Molecular epidemiology of recurrent clinical mastitis due to Streptococcus uberis: Evidence of both an environmental source and recurring infection with the same strain. J Dairy Sci. 2014; 97:285–290.
- 33. Chuammitri P, Amphaiphan C, Nojit P. In vitro modulatory effects of quercetin on bovine neutrophil effector functions. Thai J Vet Med. 2015; 45(1):63.
- 34. Chuammitri P, Srikok S, Saipinta D, Boonyayatra S. The effects of quercetin on microRNA and inflammatory gene expression in lipopolysaccharide-stimulated bovine neutrophils. Vet world. 2017; 10:403–410.
- 35. Boonlaos A, Wechsirisan W, Chaibuth P, Chupia V, Chotinun S, Chuammitri P. Quercetin enhances and modulates the fungal killing efficacy of chicken heterophils through immunological recognition, effector functions, and resolution. Comp Immunol Microbiol Infect Dis. 2021; 74:101582.
- 36. Chuammitri P, Wongsawan K, Pringproa K, Thanawongnuwech R. Interleukin 17 (IL-17) manipulates mouse bone marrow- derived neutrophils in response to acute lung inflammation. Comp Immunol Microbiol Infect Dis. 2019; 67:101356.
- 37. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2− ΔΔCT method. Methods. 2001; 25(4):402–408.
- 38. Suphakit S, Sukij N, Kanruethai W, Phongsakorn C. Quercetin Promotes the Expression of Genes Involved in Phagocytosis in Bovine Neutrophils. Am J Anim Vet Sci. 2017; 12(2):85–95.
- 39. Blum SE, Heller ED, Jacoby S, Krifucks O, Leitner G. Comparison of the immune responses associated with experimental bovine mastitis caused by different strains of Escherichia coli. J Dairy Res. 2017; 84:190–197.
- 40.
Oliver SP, Pighetti GM, Almeida RA. Mastitis Pathogens | Environmental Pathogens. In: Fuquay JW (eds) Encyclopedia of Dairy Sciences (Second Edition), Academic Press, San Diego; 2011. pp 415–421.
- 41. Almeida RA, Dego OK, Headrick SI, Lewis MJ, Oliver SP. Role of Streptococcus uberis adhesion molecule in the pathogenesis of Streptococcus uberis mastitis. Vet Microbiol. 2015; 179(3–4):332–335.
- 42. Ward PN, Field TR, Ditcham WG, Maguin E, Leigh JA. Identification and disruption of two discrete loci encoding hyaluronic acid capsule biosynthesis genes hasA, hasB, and hasC in Streptococcus uberis. Infect Immun. 2001; 69(1):392–399.
- 43. Krömker V, Reinecke F, Paduch JH, Grabowski N. Bovine Streptococcus uberis Intramammary Infections and Mastitis. Clinical Microbiology: Open Access. 2014.
- 44. Dieser SA, Fessia AS, Ferrari MP, Raspanti CG, Odierno LM. Streptococcus uberis: In vitro biofilm production in response to carbohydrates and skim milk. Rev Argent Microbiol. 2017; 49(4):305–310.
- 45. Itou T, Collins LV, Thorén FB, Dahlgren C, Karlsson A. Changes in Activation States of Murine Polymorphonuclear Leukocytes (PMN) during Inflammation: a Comparison of Bone Marrow and Peritoneal Exudate PMN. Clin Vaccine Immunol. 2006; 13(5):575–583.
- 46. Ruegg PL. Managing Mastitis and Producing Quality Milk. Dairy Production Medicine; 2011. pp. 207–232.
- 47. Rossaint J, Zarbock A. Tissue-specific neutrophil recruitment into the lung, liver, and kidney. J Innate Immun. 2013; 5:348–357.
- 48. Margaroli C, Tirouvanziam R. Neutrophil plasticity enables the development of pathological microenvironments: implications for cystic fibrosis airway disease. Mol Cell Pediatr. 2016; 3:38.
- 49. Prince LR, Whyte MK, Sabroe I, Parker LC. The role of TLRs in neutrophil activation. Curr Opin Pharmacol. 2011; 11:397–403.
- 50. Iwasaki A, Medzhitov R. Regulation of adaptive immunity by the innate immune system. Science. 2010; 327:291–295.
- 51. Kawai T, Akira S. The role of pattern-recognition receptors in innate immunity: update on Toll-like receptors. Nat Immunol. 2010; 11:373–384.
- 52. Arokiasamy S, Zakian C, Dilliway J, Wang W, Nourshargh S, Voisin MB. Endogenous TNFα orchestrates the trafficking of neutrophils into and within lymphatic vessels during acute inflammation. Sci Rep. 2017; 7:44189.
- 53. Mulvey MA, Schilling JD, Hultgren SJ. Establishment of a persistent Escherichia coli reservoir during the acute phase of a bladder infection. Infect Immun. 2001; 69:4572–4579.
- 54.
Johnson DI. Bacterial Pathogens and Their Virulence Factors. Springer Cham, Switzerland; 2018.
- 55. Oliver SP, Almeida RA, Calvinho LF. Virulence factors of Streptococcus uberis isolated from cows with mastitis. Zentralbl Veterinarmed B. 1998; 45(8):461–471.
- 56. Rosenberg M, Azevedo NF, Ivask A. Propidium iodide staining underestimates viability of adherent bacterial cells. Sci Rep. 2019; 9:6483.
- 57. Monsel A, Lécart S, Roquilly A, Broquet A, Jacqueline C, Mirault T. Analysis of autofluorescence in polymorphonuclear neutrophils: a new tool for early infection diagnosis. PLoS One. 2014; 9(3):e92564.
- 58. Dupré-Crochet S, Erard M, Nüβe O. ROS production in phagocytes: why, when, and where? J Leukoc Biol. 2013; 94(4):657–670.
- 59. Nguyen GT, Green ER, Mecsas J. Neutrophils to the ROScue: Mechanisms of NADPH Oxidase Activation and Bacterial Resistance. Front Cell Infect Microbiol. 2017; 7:373.
- 60. Taylor JP, Tse HM. The role of NADPH oxidases in infectious and inflammatory diseases. Redox Biol. 2021; 48:102159.
- 61. Moghadam ZM, Henneke P, Kolter J. From Flies to Men: ROS and the NADPH Oxidase in Phagocytes. Front Cell Dev Biol. 2021; 9:628991.
- 62. Branzk N, Lubojemska A, Hardison SE, Wang Q, Gutierrez MG, Brown GD, Papayannopoulos V. Neutrophils sense microbe size and selectively release neutrophil extracellular traps in response to large pathogens. Nat Immunol. 2014; 15:1017–1025.
- 63. Castanheira FVS, Kubes P. Neutrophils and NETs in modulating acute and chronic inflammation. Blood. 2019; 133:2178–2185.
- 64. Wei Z, Wang J, Wang Y, Wang C, Liu X, Han Z, et al. Effects of Neutrophil Extracellular Traps on Bovine Mammary Epithelial Cells in vitro. Front Immunol. 2019; 10:1003.
- 65. Swain DK, Kushwah MS, Kaur M, Dang AK. Neutrophil dynamics in the blood and milk of crossbred cows naturally infected with Staphylococcus aureus. Vet World. 2015; 8:336–345.
- 66. Ma F, Chang X, Wang G, Zhou H, Ma Z, Lin H, et al. Streptococcus Suis Serotype 2 Stimulates Neutrophil Extracellular Traps Formation via Activation of p38 MAPK and ERK1/2. Front Immunol. 2018; 9:2854.
- 67. Ma F, Yang S, Zhou M, Lu Y, Deng B, Zhang J, et al. NADPH oxidase-derived reactive oxygen species production activates the ERK1/2 pathway in neutrophil extracellular traps formation by Streptococcus agalactiae isolated from clinical mastitis bovine. Vet Microbiol. 2022; 268:109427.