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Open Access

Peer-reviewed

Research Article

The Metabolomic Profile of Spent Culture Media from Day-3 Human Embryos Cultured under Low Oxygen Tension

Abstract

Despite efforts made to improve the in vitro embryo culture conditions used during assisted reproduction procedures, human embryos must adapt to different in vitro oxygen concentrations and the new metabolic milieu provided by the diverse culture media used for such protocols. It has been shown that the embryo culture environment can affect not only cellular metabolism, but also gene expression in different species of mammalian embryos. Therefore we wanted to compare the metabolic footprint left by human cleavage-stage embryos under two types of oxygen atmospheric culture conditions (6% and 20% O2). The spent culture media from 39 transferred and implanted embryos from a total of 22 patients undergoing egg donation treatment was analyzed; 23 embryos came from 13 patients in the 6% oxygen concentration group, and 16 embryos from 9 patients were used in the 20% oxygen concentration group. The multivariate statistics we used in our analysis showed that human cleavage-stage embryos grown under both types of oxygen concentration left a similar metabolic fingerprint. We failed to observe any change in the net depletion or release of relevant analytes, such as glucose and especially fatty acids, by human cleavage-stage embryos under either type of culture condition. Therefore it seems that low oxygen tension during embryo culture does not alter the global metabolism of human cleavage-stage embryos.

Citation: de los Santos MJ, Gámiz P, de los Santos JM, Romero JL, Prados N, Alonso C, et al. (2015) The Metabolomic Profile of Spent Culture Media from Day-3 Human Embryos Cultured under Low Oxygen Tension. PLoS ONE 10(11): e0142724. https://doi.org/10.1371/journal.pone.0142724

Editor: Yang Yu, Peiking university third hospital, CHINA

Received: May 19, 2015; Accepted: September 9, 2015; Published: November 12, 2015

Copyright: © 2015 de los Santos 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: FD’s participation was supported by the Spanish Ministry of Economy and Competitiveness, through the Miguel Servet Programme (CP13/00075) co-founded by FEDER and by the R+D programme from the Generalitat Valenciana (Regional Valencian Government) IMPIVA MIDTF/2011/214. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing interests: José Remohí is employee of IVI Valencia and also stockholder of the company. Maria José de los Santos, Pilar Gámiz and Josep Lluís Romero are employees of IVI Valencia. Nicolás Prados is employee of IVI Sevilla. Cristina Alonso is employee of OWL (trading name of One Way Liver Genomics, S.L.). Francisco Dominguez have no conflicts of interest to declare. This does not alter the authors’ adherence to all the PLoS ONE policies on sharing data and materials.

Introduction

Since the very start of the use of in vitro fertilization (IVF) protocols, embryos and gametes have been cultured at atmospheric oxygen levels as standard procedure in most laboratories. Data showing that the oxygen partial pressure conditions in the human genital reproductive tract are very low [1–4] therefore suggest that this laboratory condition is suboptimal, and that culturing embryos at a low oxygen concentration may be an important way to improve clinical outcomes following IVF cycles. Indeed, a recent meta-analysis of the effects of low oxygen tension during embryo culture concluded that these conditions improve pregnancy and live birth rates in patients using their own oocytes [5].

The embryonic culture environment can affect not only cellular metabolism but also gene expression in different species of mammalian embryos [6–9]. For instance, low oxygen culture systems alter glycolytic metabolism in pig blastocysts, shifting the tricarboxylic acid pathway to the anabolic pentose phosphate pathway and to lactic acid production [7], thus decreasing the amino acid uptake rate [4]. In mouse embryos it downregulates a group of ten proteins/biomarkers each with masses between 4 and 20 kDa [10].

Regarding gene expression patterns, low oxygen culture conditions decrease the expression of mRNA stress indicator genes such as heat shock proteins [11, 12] or manganese superoxide dismutase (MnSOD) [13] in both cows and mice. Furthermore, hypoxia is able to alter the methylation status of a variety of cells including skin fibroblasts, tumor cells, and trophoblast cells [14–16]. However, no data is yet available concerning the effect of a low oxygen atmosphere on the global metabolic profile of human embryos exposed to these culture conditions.

The metabolomics field has recently developed new technologies and methodologies which can perform global quantitative and qualitative analysis of the metabolites produced and secreted by any cell, tissue, or even simple organisms [17, 18]. Low-molecular-weight metabolites are the final products of cellular metabolism and therefore could shed some light on the changes produced in a closed system when a variety of genetic, nutritional, and environmental conditions occur [17]. These non-invasive quantitative techniques are used to study the metabolic status of the embryo by using embryo-spent culture media to predict embryo viability and the likelihood of pregnancy. In recent years research has increasingly focused on comparing the metabolic fingerprint of fresh and vitrified embryos [19]. Spectroscopic techniques such as Mass Spectrometry (MS) and Nuclear Magnetic Resonance (NMR) are now the focus of intense research in the study of global embryo metabolism, aimed at determining their value as predictors of embryo viability, pregnancy rates [20–23], and even their potential ability to detect aneuploid embryos [24]. However, prospective randomized trials have previously found no benefit to using these methods to predict pregnancy rates [25–28].

In our previous study [29] we used a ultra-performance liquid chromatography coupled to mass spectrometry (UPLC-MS) untargeted metabolomic analysis to determine the differential global metabolic status of embryos coming from obese and normoweight IVF patients using spent media culture. Indeed, using this kind of approach, we obtained clear differences in the metabolism between these embryos.

In the present study, we used an untargeted metabolomic profiling approach based on UPLC-MS to compare the metabolic profile of embryos developed at low or atmospheric oxygen concentrations, and to then identify any metabolic profile that may differentiate them. Therefore, we aimed to analyze the metabolic footprint left specifically by the human cleavage-stage embryos, cultured under these two conditions, which also gave rise to a viable fetus with a heartbeat.

Materials and Methods

Participants and study design

This study was approved by the Institutional Review Board on the use of human subjects in research at the Instituto Valenciano de Infertilidad (IVI, Valencia). Our clinical investigation has been conducted according to the principles expressed in the Declaration of Helsinki. Informed written consent has been obtained from the participants. This prospective study was carried out within the context of a randomized controlled study performed in patients undergoing egg donation cycles with intracytoplasmic sperm injection (ICSI) IVF, with day-3 single/double embryo transfers that occurred between 2011 and 2012.

The current study consisted on using the spent culture media of 39 transferred and implanted embryos; 23 embryos from 13 patients in the 6% oxygen concentration group, and 16 embryos from 9 patients in the 20% oxygen concentration group.

Stimulation protocol for donors

The controlled ovarian stimulation (COH) protocol for donors consisted of administering a daily dose of a GnRH (gonadotropin-releasing hormone)-agonist (triptorelin, 0.1 mg; Decapeptyl®, Ipsen Pharma, Barcelona, Spain) in the luteal phase after menses. COH was started with 225 IU of recombinant follicle stimulating hormone (FSH)/day (follitropin alfa; Gonal F®, Merck-Serono, Barclona Spain, or follitropin beta [rch]; Puregon®, Shering Plough, Madrid, Spain) or human menopausal gonadotropin (hMG; menotrophin; Menopur®, Ferring Pharmaceutical, Madrid, Spain). The daily dose was adjusted to ovarian response. Stimulation was prolonged until the mean diameter of the leading follicles was more than 18 mm. Recombinant human chorionic gonadotropin (rhCG; choriogonadotropin alfa; Ovitrelle®, Merk Serono) was administered and oocyte retrieval was carried out 36 h later. Anonymous donors were matched to egg recipients according to phenotype and blood groups. Both fresh oocytes and vitrified oocytes were used for egg donation purposes.

Oocyte and embryo culture conditions

Four hours after egg retrieval, or two hours after oocyte warming [30, 31], oocytes were injected as previously described elsewhere [32]. ICSI was performed at 400 x magnification with a 1X7 Olympus microscope. Both injected oocytes and embryos were individually cultured in 50 μL drop, under oil of Sydney IVF cleavage media (COOK), which had been previously equilibrated overnight in the respective gas mixtures and then incubated in Sanyo MCI 5M incubators, set at either 6% O2 or 20% O2. In order to minimize the number of door openings, no more than two patients co-existed per incubator. An external quality control was performed daily with verified external probes for CO2, O2 and temperature measurements following the ISO 9000 standardized directives.

Embryo morphology assessment

Nineteen hours post-insemination, oocytes were checked for fertilization. Embryo morphology was assessed on days 2 and 3 by considering the number of blastomeres, symmetry and granularity of blastomeres, type and percentage of fragmentation, presence of multinucleated blastomeres and degree of compaction. In accordance with these phenotype features, cleavage state embryos were scored according to four categories, A, B, C and D, which were partially described during the Istanbul consensus workshop on embryo assessment [33]. Of these four categories, A contained the top quality embryos and D was the lowest embryo quality category, implying less ability to implant.

Sample collection

Each sample (40 μL) was obtained from the spent culture media of embryos developed either in the 6% oxygen group or in the 20% oxygen group. A total of 23 samples were collected from the 6% oxygen group, 16 from the 20% oxygen group, and 39 blank samples were used as a matched control media group. These samples were unused droplets made from the media from the same batch of embryos, cultured in the same conditions, but without the presence of an embryo.

Empty culture dishes where embryos had been growing for 48 ± 1 hours (from day 1 to day 3 of embryo development), were kept in the incubator for a maximum of 30 min after the embryos were removed for transfer. Sample collection was carried out by pipetting 40 μl out of the 50 μl drop of culture media Sydney IVF cleavage media (COOK into Eppendorf tubes (Eppendorf®, Oldenburg, Germany). Tubes containing culture media were spun at 10,000 rpm for 2 min and the supernatant was collected in a new Eppendorf tube to avoid debris or cell contamination and kept at -80°C until analyzed. The same procedure was used to collect matched media samples, consisting of 40 μL micro-drops of media cultured in the same conditions but without embryos.

Metabolic profiling

Metabolic profiles were analyzed, as previously described, using methanol extraction followed by a UPLC-MS analysis (19). Briefly, samples were defrosted, mixed, and centrifuged; the sample was then diluted with 200 μL of methanol and mixed and stored at -20°C overnight. Following these samples were centrifuged at 13,000 rpm for 15 min; 200 μL of the supernatant was dried under vacuum, reconstituted in 100 μL of methanol, and transferred to vial for UPLC‐MS analysis. In order to avoid systematic bias in the analysis, all samples were randomized prior to the metabolite extraction procedure. Additionally, a pooled sample was also prepared and analyzed uniformly interspersed throughout the entire batch run (ten injections).

UPLC‐MS analysis

The sample extracts were analyzed using a Waters Acquity UPLC coupled to a Waters QTof mass spectrometer (Waters Corp., Milford, USA). Chromatography was performed using HSS T3 C18 chemistry (1.0 × 100 mm) and a 1.8 μm particle-size column (Waters Corp.). The column was maintained at 40°C and eluted with a 13-min linear gradient. The mobile phase, at a flow rate of 140 μL/min, consisted of 100% solvent A (0.05% formic acid) for 1 min followed by an incremental increase of solvent B (acetonitrile containing 0.05% formic acid), which was taken up to 100% over the next 6 min, before returning to the initial composition mixture in readiness for the subsequent sample injection, which preceded a 45 s system recycle time. The volume of sample injected onto the column was 2 μL.

The mass spectrometer was operated with an electrospray (ESI) source held at 120°C. The nebulization gas was set to 600 L/h at a temperature of 350°C. The cone gas was set to 30 L/h with the capillary and cone voltages set to 3200 V and 30 V, and 2800 V and 50 V, in positive and negative modes respectively. The data acquisition rate was set to 0.5 s, with a 0.02 s inter‐scan delay. The mass range, 50‐1000 m/z was calibrated with cluster ions of sodium formate, using leucine enkephalin as an internal reference compound for instrumental drift correction (infused at 50 μL/min through an independent reference electrospray). An appropriate test mixture of standard compounds (Acetaminophen, Erythromicyns, Leucine-Enkephaline, Reserpine, Sulfaguanidine, Sulfadimethoxine, Terfenadine, and Val-Tyr-Val; all 5nM in water) was analyzed before and after the entire set of randomized, duplicated sample injections in order to examine the retention time stability, mass error, and sensitivity of the UPLC-MS system throughout the course of the run.

Data Processing

All data were processed using the MarkerLynx application manager for MassLynx 4.1 software (Waters Corp.). The UPLC-MS data were peak‐detected and noise‐reduced in both the LC and MS domains such that only true analytical peaks were further processed by the software (e.g. noise spikes were rejected; signal detected must meet the criteria to be above the fixed intensity threshold level of 100 counts to be considered as a chromatographic peak). A list of intensities (chromatographic peak areas) of the peaks detected was then generated for the first sample, using the retention time (Rt) and mass-to-charge ratio (m/z) data pairs as the identifier for each peak. This process was repeated for each UPLC‐MS run. Once completed this process, the ion intensities for each peak detected within each sample were normalized to the sum of the peak intensities in that sample. Then, the overall quality of the analysis procedure was monitored using a pooled sample. All ion features included in the profiling analysis showed a percentage relative standard deviation (%RSD) lower than 30 in the ten replicated injections of the pooled sample.

In order to consider potential differences between culture media batches, a further normalization procedure was applied considering the corresponding matched blank samples, collected at the same conditions than the samples but without embryo. Therefore, the Rt‐m/z pairs detected in embryo-containing culture media were normalized to their levels in the corresponding blank culture medium samples. The resulting peak intensities formed a single matrix with Rt-m/z pairs for each sample normalized to their respective blank culture medium, which was considered for the following multivariate and univariate data analysis.

Statistical analysis

Multivariate data analysis.

The first objective in the multivariate data analysis process was to reduce the dimensionality of the complex data set to enable easy visualization of any potential clustering of the groups of samples. This can be achieved using principal components analysis (PCA) [34] in which the data matrix is reduced to a series of principal components (PCs), i.e. each linear combination of the original Rt‐m/z pair peak areas. Each consecutive PC explains the maximum amount of variance possible, not explained by the previous PCs. Hence, the score plots of PCA analysis shown in Fig 1 (in which the first two principal components, t[1] and t[2], are displayed) show the most important metabolic variation in the samples captured by this analysis. The performance levels of the PCA models were evaluated using the R2X (variance modeled) and Q2 (cross‐validated R2X) parameters.

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Fig 1. Principal components analysis (PCA) of untargeted global metabolomic profiles of the spent culture media from embryos cultured under 6% oxygen (red) and 20% oxygen (blue) concentrations.

The first two principal components, t[1] and t[2], which represent the most important metabolic variation in the samples, are shown and were captured by Positive (R2X = 0.662 and Q2 = 0.519) (A) and Negative (R2X = 0.838 and Q2 = 0.492) analysis modes (B).

https://doi.org/10.1371/journal.pone.0142724.g001

Supervised multivariate models were generated using the orthogonal partial least‐squares to latent structures (OPLS) method [35, 36]. An extra variable Y is created for each sample, which takes on the discrete values of 0 for 6% O2 concentration samples of 1 for 20% O2 concentration samples. Regression of this data allows new principal components to be calculated, which can then successively explain the maximum correlated X‐Y variance. Rotation of this OPLS model allows inter‐class (5%-20%) correlation to be captured in a single predictive component. The performance/validity of the OPLS models were evaluated using the R2Y (explained Y variance) and Q2 (cross validated R2Y) parameters.

Univariate data analysis.

Univariate statistical analyses were also performed on the normalized dataset, using t‐tests for unpaired variables between the groups of samples, and applying Bonferroni correction for multiple testing.

Results

Demographics and embryo morphology

Regarding the egg donors, neither the age (26.4 ± 3.7 vs 26.0 ± 3.6) nor the BMI (24.5 ± 2.9 vs 23.0 ± 3.0) were different between the group of oocytes that were allocated to low or atmospheric oxygen concentration respectively.

The demographic features of the egg recipients and the embryo quality are shown in Table 1. No differences were observed regarding the etiology of the women included in the study.

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Table 1. Demographics of egg recipients whose embryos were included in the study under both types of embryo culture conditions.

https://doi.org/10.1371/journal.pone.0142724.t001

Concerning morphological parameters of embryo quality, the average blastomere number, the percentage of fragmentation, and symmetry was comparable between both groups of embryos (Table 2).

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Table 2. Embryology parameters of the analyzed embryos included in the study under both types of embryo culture conditions.

https://doi.org/10.1371/journal.pone.0142724.t002

Global metabolite profiling

PCA analysis was performed in order to highlight the differences in the global metabolomic profiles between both oxygen concentrations groups. This type of analysis clusters the samples and represents them on a two dimensional space based on the differential relative concentration levels/amounts of all the measured metabolites. We observed no differences between the two groups (Fig 1), in both the positive and negative ion modes. In fact, both the 6% and 20% O2 populations failed to separate in this PCA analysis. Although supervised OPLS analysis was also performed, none of the OPLS models comparing 6% O2 vs. 20% O2 using positive and negative ion modes showed a positive predictability (data not shown). Based on these results, our multivariate statistical analyses of the untargeted metabolomic profiles of spent media coming from embryos cultured under either oxygen condition revealed that there were no significant differences in the metabolic profiles obtained from these day-3 embryos.

Finally, to make sure that no robust individual differences were obtained between the groups, we performed a univariate statistical analysis on all the ion features measured in our samples (S1 Fig). We tested the 103 metabolic features found in the spent media of our embryos and we found only three significant features that differed between the 6% and 20% oxygen concentration, representing approximately 3% of the total analyzed (Fig 2). However, the main drawback of this untargeted approach is that all the metabolic features were labeled based on their retention time and mass to charge ratio (termed Rt-m/z), and the identification of these Rt-m/z features is usually very time consuming and is not always possible. Nonetheless, the small group of three metabolic features (Rt-m/z pairs: 0.6267_671.7923 and 0.4981_151.0359 in the positive ion mode, and 0.583_92.9273 in the negative one) appeared to be significantly different, and showed a fold change (20% O2 vs. 6% O2) of 1.73, 0.78, and 0.93 respectively. The first one was higher in the 20% O2 embryos (1.7 [CI95%]; p = 0.02) and the other two were higher in the 6% O2 embryos (1.28 [CI95%]; p = 0.03, and 1.08 [CI95%]; p = 0.04 respectively). Box plots for these metabolites are shown in Fig 3.

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Fig 2. Volcano plots representing the relationship between fold change and statistical significance for all the spent culture media metabolites metabolites analyzed.

The log2 average fold-change between the two groups is represented on the x-axis: 6% oxygen vs. 20% oxygen. The y-axis represents the -log10 p-value.

https://doi.org/10.1371/journal.pone.0142724.g002

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Fig 3. Box plots for the three metabolic features which were found to be significantly different after univariate analysis.

Each metabolic feature is labeled based on their retention time and mass-to-charge ratio (termed Rt-m/z), 0.6267_671.7923 (A) 0.4981_151.0359 (B) and 0.583_92.9273 (C).

https://doi.org/10.1371/journal.pone.0142724.g003

We also checked other important metabolic features related to carbohydrate metabolism (glucose), amino acids, non-esterified fatty acids such as estearic, palmitic and oleic acids and glycerophospholipids, but all of them were not significantly altered depending on O2 concentration (Fig 4).

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Fig 4. Box plots for selected metabolic features related to lipid, amino acids and carbohydrate metabolism.

No significant differences were observed after univariate analysis. Araquidonic acid (20:4n-6) (A); alpha-linolenic acid (18:3n-6) (B); lysophosphatidylcholine LPC(18:1) (C); tryptophan (D); phenylalanine (E) and glucose and related hexoses metabolites (F).

https://doi.org/10.1371/journal.pone.0142724.g004

Discussion

Under natural circumstances, the oxygen concentration surrounding both oocytes and human embryos ranges between 2% and 8% [37, 38]. In fact, during development embryos encounter two types of oxygen environments, the first one ranging from 5% to 8.6% O2 within the follicle and fallopian tubes [3], and the second 1.5–2% O2 inside the uterine cavity [1]. To mimic this situation in the IVF laboratory, two incubators set up to two different oxygen conditions depending on the developmental stage of the embryos should be used. However, the most common approach when culturing in vitro embryos is to use a fixed low oxygen concentration ranging from 5 to 6% throughout the whole process. Under such circumstances the actual oxygen concentration found in the culture media after culturing a 50 μL drop at 20% O2 is around 0.2 mM [39], whereas at the 6% concentration oxygen levels are around 60 μM following equilibration. Both oxygen concentrations are far above the actual oxygen needs of cleavage-stage human embryos which require approximately 5 Fmol/s [40].

Despite of the existence of evidences showing that the environmental stress created by using a higher oxygen tension during embryo culture may alter the metabolic activity of pre-implantation embryos [4, 41], the multivariate statistics we used in our analysis showed that cleavage-stage human embryos grown under both types of oxygen concentration culture conditions left a similar metabolic fingerprint. We failed to observe any change in the net depletion or release of relevant analytes, such as glucose, certain amino acids, fatty acids and glycerophospholipids by human cleavage-stage embryos under either type of culture conditions.

Pyruvate is the favorite substrate for cleavage stage mammalian embryos include the human and is able to support the development of human blastocysts [42–44], pyruvate and glucose uptake has previously been correlated with embryo viability [4, 45, 46] used more and, at least in mice, this factor is dependent on the oxygen concentration during in vitro culture [4]. The absence of differences in the glucose may have resulted from the fact that glucose uptake by cleavage stage human embryos unlike other carbohydrates such as the pyruvate, is actually smaller and may not change with the oxygen environment [47].

Concerning the amino acid uptake, this type of substrates are also oxidized by cleavage stage embryos to produce ATP [48]. It has been shown that embryos that develop from the early cleavage stage to form a blastocyst or which are chromosomally normal show a different profile of amino acid turnover from those that eventually arrest or have an abnormal chromosomal constitution [49–51]. Also In the mouse model, it has been demonstrated that a high oxygen concentration changes its uptake by increasing the amino acid utilization rate [4] and down regulates the production of proteins with a mass between 4 and 20 kDa [10].

Certain amino acids such as arginine, whose higher rates of depletion have been associated with poor embryo development [50], tyrosine, glycine, valine, and lysine turnover, associated with chromosomally abnormal embryos [49], or other polar amino acids related with live birth such as arsenine, glycine and leucine [52] were probably not detected in our assay. However, other amino acids such as tryptophane and phenylalanine that consistently appears in the culture during porcine preimplantation embryo development [53, 54] were similar on the two oxygen culture conditions.

Another group of metabolites analyzed in the present study were fatty acids and glycerophospholipids. Fatty acids are actually present in the human oocyte. They have been proposed as potential metabolites for ooytes and embryos, [55]; 80% of the fatty acids present in unfertilized human oocytes are saturated ones, of these, both the stearic and palmitic are the more predominant ones [56]. In our study, oxygen concentration during culture did not affect the final fatty acid concentration in spent conditioned culture [57]media. The reason for this may be because human embryos do not need to take any fatty acid from the media, first, because at the stage of development they do not have such high energy demands, as it has been calculated that fatty acid oxidation yields three times more energy that one molecule of glucose [58], and second because its uptake may not depend on external oxygen concentration.

Interestingly blank controls were positive for several fatty acids that were not described to be present in the Sydney IVF cleavage media. We hypothesize that these lipids could be carried by the human albumin present in the media, and could be eventually utilized by human embryos [55]. The addition of polyunsaturated and monounsaturated fatty acids in the culture media has shown to be involved in oocyte maturation as well as embryo development of different mammalian species, for review see [59].

We speculate that this metabolism modification in humans does not rely only on oxygen availability, at least at the early stages of development, and perhaps they may respond to oxygen variation only when embryo genome activation (EGA) starts to be fully activated, as have already been shown in the porcine [7]. As a matter of fact and based on the quire hypotesis, viable early mammalian embryos should be metabolically moderate rather that active [57], this lack of activity may explain our results.

Unfortunately, given the limitations of our methodological approach, this hypothesis cannot be fully demonstrated as the chromatographic method employed was not optimized for the analysis of polar metabolites such as pyruvate, lactate, and most of the amino acids. In metabolic profiling, there is no single platform or method to analyze the entire metabolome of a biological sample mainly due to the wide concentration range of metabolites coupled to their extensive chemical diversity. The current analytical methodology was optimized to provide maximum coverage over classes of compounds involved in key metabolic pathways, such as major phospholipids, non-esterified fatty acids, and some amino acids, while offering relatively high-throughput with minimal injection-to-injection carryover effects.

After univariate statistical analysis, only three non-identified analytes showed significant differences in their concentration levels between both groups. Moreover, due to the specificity of the statistical analysis in which we assume a 5% false positive rate, the sample dilution used (50 microL, and the limited time of the embryo culture (48h), we cannot be sure if these three ion features are indeed affected by the different O2 concentrations. It may be that they appeared to be significant due to the model we used, in which more than 100 analytes were analyzed, as none of the Rt-m/z pairs detected were found to be significantly altered after taking into account Bonferroni correction for multiple testing.

As a summary, despite no clear changes were observed on the global metabolic profile, other specific molecules could have escaped from our deep analysis. Furthermore, we must not forget other possible reasons for caution when interpreting our results. As only embryos that yielded viable pregnancies at least up to the 12 week of gestation were analyzed, we cannot rule out the possibility that the similarities between the embryos from both culture conditions were due to the fact that only embryos with at least comparable metabolism successfully implanted. Lastly, larger number of subjects will be needed to substantiate these preliminary results.

Supporting Information

S1 Fig. Raw data of the metabolic ion features (Rt‐m/z pairs) in the spent media of embryos cultured in low and high oxygen concentration, normalised to the sum of the peak intensities in each sample and to their levels in the corresponding blank culture medium samples.

Data provided for detected ion features in positive and negative ion modes.

https://doi.org/10.1371/journal.pone.0142724.s001

(XLSX)

Acknowledgments

The authors wish to thank the OWL team, especially Miriam Pérez-Cormenzana for their kind help with obtaining the metabolomic data, and the IVF lab staff at IVI Valencia for their help with the sample gathering.

Author Contributions

Conceived and designed the experiments: MJDLS FD. Performed the experiments: MJDLS JMDLS PG NP JR. Analyzed the data: CA FD. Contributed reagents/materials/analysis tools: PG JMDLS JR NP. Wrote the paper: MJDLS JR FD.

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