Alignment of multiple metabolomics LC-MS datasets from disparate diseases to reveal fever-associated metabolites.

Acute febrile illnesses are still a major cause of mortality and morbidity globally, particularly in low to middle income countries. The aim of this study was to determine any possible metabolic commonalities of patients infected with disparate pathogens that cause fever. Three liquid chromatography-mass spectrometry (LC-MS) datasets investigating the metabolic effects of malaria, leishmaniasis and Zika virus infection were used. The retention time (RT) drift between the datasets was determined using landmarks obtained from the internal standards generally used in the quality control of the LC-MS experiments. Fitted Gaussian Process models (GPs) were used to perform a high level correction of the RT drift between the experiments, which was followed by standard peakset alignment between the samples with corrected RTs of the three LC-MS datasets. Statistical analysis, annotation and pathway analysis of the integrated peaksets were subsequently performed. Metabolic dysregulation patterns common across the datasets were identified, with kynurenine pathway being the most affected pathway between all three fever-associated datasets.

Mammalian ovarian lipid distributions by desorption electrospray ionization-mass spectrometry (DESI-MS) imaging.

Merging optical images of tissue sections with the spatial distributions of molecules seen by imaging mass spectrometry is a powerful approach to better understand the metabolic roles of the mapped molecules. Here, we use histologically friendly desorption electrospray ionization-mass spectrometry (DESI-MS) to map the lipid distribution in tissue sections of ovaries from cows (N = 8), sows (N = 3), and mice (N = 12). Morphologically friendly DESI-MS imaging allows the same sections to be examined for morphological information. Independent of the species, ovarian follicles, corpora lutea, and stroma could be differentiated by principal component analysis, showing that lipid profiles are well conserved among species. As examples of specific findings, arachidonic acid and the phosphatidylinositol PI(38:4), were both found concentrated in the follicles and corpora lutea, structures that promoted ovulation and implantation, respectively. Adrenic acid was spatially located in the corpora lutea, suggesting the importance of this fatty acid in the ovary luteal phase. In summary, lipid information captured by DESI-MS imaging could be related to ovarian structures and data were all conserved among cows, sows, and mice. Further application of DESI-MS imaging to either physiological or pathophysiological models of reproductive conditions will likely expand knowledge of the roles of specific lipids and pathways in ovarian activity and mammalian fertility. Graphical abstract Desorption electrospray ionization-mass spectrometry (DESI-MS) is performed directly from frozen ovarian tissue sections placed onto glass slides. Because the desorption and ionization process of small molecules is so gentle, the tissue architecture is preserved. The sample can then be stained and tissue morphology information can be overlaid with the chemical information obtained by DESI-MS.

Understanding mechanisms of oocyte development by follicular fluid lipidomics.

PURPOSE: The present study aimed to provide a non-invasive approach to studying mechanisms responsible for oocyte development. METHODS: To this end, follicular fluid (FF) from 62 patients undergoing in vitro fertilization (IVF) cycles was split into two groups depending on the pregnancy outcome: pregnant (n = 28) and non-pregnant (n = 34) groups. Data were acquired by the MALDI-TOF mass spectrometry. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were applied to the data set. A ROC curve, to predict success rate, was constructed, and the lipids were attributed. RESULTS: Six ions were differentially represented in FF of pregnant and non-pregnant patients, with an area under the curve of 0.962. Phosphatidic acid, phosphatidylglycerol, and triacylglycerol were hyper-represented in the pregnant group, while glucosylceramide was hyper-represented in the non-pregnant group. Enriched functions related to these lipids are steroidogenesis, cellular response, signal transduction, cell cycle, and activation of protein kinase C for the pregnant group and apoptosis inhibition for the non-pregnant group. CONCLUSION: Human FF fingerprinting can both improve the understanding concerning mechanisms responsible for oocyte development and its effect on embryo implantation potential and assist in the management of IVF cycles.

Follicular environment as a predictive tool for embryo development and kinetics in cattle.

Follicular fluid composition and the transcription pattern of granulosa cells were analysed to better comprehend associations between embryo development and morphokinetics. Bovine follicles were punctured and their respective follicular fluid and granulosa cells were collected. Cumulus-oocyte complexes derived from these follicles were matured and fertilised invitro. Embryo morphology and kinetics were evaluated at 40h after insemination, when embryos were classified as fast (FCL, four or more cells), slow (SCL, 2-3 cells) or non-cleaved (NCL). Their development was followed until the blastocyst stage. Glucose, pyruvate, cholesterol and oestradiol were quantified in the follicular fluid and the transcription pattern of 96 target genes was evaluated in granulosa cells by large-scale quantitative reverse transcription polymerase chain reaction. Follicular fluid from the blastocyst group had increased levels of glucose, total cholesterol and pyruvate compared to the non-blastocyst group, whereas higher levels of oestradiol were observed in the follicular fluid of embryos and blastocysts with fast cleavage. The transcriptional pattern revealed altered metabolic pathways between groups, such as lipid metabolism, cellular stress and cell signalling. In conclusion, both follicular fluid and granulosa cells are associated with the possibility of identifying follicles that may generate embryos with high potential to properly develop to the blastocyst stage.

Ovarian environment aging: follicular fluid lipidomic and related metabolic pathways.

PURPOSE: The decline in female fecundity with age may be caused by decreased oocyte quality, a factor that may be associated with the altered composition of follicular fluid (FF). METHODS: In an effort to better understand follicular aging and the role of lipids in a given biological system, we present a prospective study that compares lipid profiles of FF from women older than 35 years (aging group, n = 12) to women equal or younger than 35 years old (control group, n = 17). FF lipids were extracted, and mass spectra were generated using a Waters Synapt G1 Q-TOF in MS mode. MS data was evaluated for both multi- and univariate statistics. The lipids identified as potential biomarkers of follicle aging were attributed by the online databases Lipid Maps, followed by pathway network analysis using Cytoscape software. RESULTS: The in vitro fertilization (IVF) parameters showed significant differences in aging, number of follicles, total number of oocytes and oocytes in MII, and number of injected oocytes. Additionally, FF from the aging group revealed 11 lipids with higher abundance, while FF from the control group included 4 lipids with higher abundance. CONCLUSIONS: We suspect that aging may influence lipid metabolism in a downstream cascade leading, ultimately, to decreased oocyte quality. The discovery of target lipids may assist oocyte selection for IVF in the future. Furthermore, systems biology approach based on post-genomic medicine may help unravel a number of altered mechanisms not previously understood.

Is Lipidomic the Answer to the Search of a Biomarker for Organ Preservation Protocol in Head and Neck Squamous Cell Carcinoma?

In the last decade organ preservation protocols based on chemoradiotherapy (CRT) has been showing the possibility of preserving function without jeopardizing survival for locally advanced head and neck squamous cell carcinoma (HNSCC). Still, only a percentage of the patients will benefit from this approach and, to date, no biomarkers are known to correctly predict these patients. More recently, modern mass spectrometry method has been used to determine metabolic profiles, and lipidomics, in particular, emerged as a new field of study in oncology and other diseases. This study aimed to analyze the lipid profile on saliva from patients undergoing to a prospective, single center, open-label, non-randomized phase II trial for organ preservation on HNSCC. The lipid analysis was performed using matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF-MS). Multivariate statistical analyses based on principal component analysis and orthogonal partial least square-discriminant analysis were applied to MALDI-TOF-MS data to visualize differences between the lipid profiles and identify potential biomarkers. The results assisted on distinguishing complete responders from non-responders to the treatment protocol. In conclusion, we demonstrated that a group of lipids is differentially abundant in saliva from HNSCC patients submitted to an organ preservation protocol, being able to differentiate responders from non-responders. These results suggest the potential use of lipid biomarkers to identify patients who may benefit from this treatment. Also, we showed that saliva testing might be routinely used in clinical practice, for being a non-invasive alternative to blood testing, besides inexpensive and easy to obtain.

Hyper response to ovarian stimulation affects the follicular fluid metabolomic profile of women undergoing IVF similarly to polycystic ovary syndrome.

INTRODUCTION: During in vitro fertilization (IVF), the hyper response to controlled ovarian stimulation (COS) is a common characteristic among patients diagnosed with polycystic ovary syndrome (PCOS), although non-diagnosed patients may also demonstrate this response. OBJECTIVES: In an effort to investigate follicular metabolic characteristics associated with hyper response to COS, the present study analyzed follicular fluid (FF) samples from patients undergoing IVF. METHODS: FF samples were obtained from patients with PCOS and hyper response during IVF (PCOS group, N = 15), patients without PCOS but with hyper response during IVF (HR group, N = 44), and normo-responder patients receiving IVF (control group, N = 22). FF samples underwent Bligh and Dyer extraction, followed by metabolomic analysis by ultra-performance liquid chromatography mass spectrometry, considering two technical replicates. Clinical data was analyzed by ANOVA and chi-square tests. The metabolomic dataset was analyzed by multivariate statistics, and the significance of biomarkers was confirmed by ANOVA. RESULTS: Clinical data showed differences regarding follicles production, oocyte and embryo quality. From the 15 proposed biomarkers, 14 were of increased abundance in the control group and attributed as fatty acids, diacylglycerol, triacylglycerol, ceramide, ceramide-phosphate, phosphatidylcholine, and sphingomyelin. The PCOS patients showed increased abundance of a metabolite of m/z 144.0023 that was not attributed to a class. CONCLUSION: The clinical and metabolic similarities observed in the FF of hyper responders with and without PCOS diagnosis indicate common biomarkers that could assist on the development of accessory tools for assessment of IVF parameters.

Follicular fluid lipid peroxidation levels in women with endometriosis during controlled ovarian hyperstimulation.

This observational study aimed to establishing a relationship between lipid peroxidation and endometriosis in women undergoing controlled ovarian hyperstimulation. A total of 79 women were divided into two groups: (i) controls (tubal or male factor); and (ii) endometriosis (stages III/IV). The endometriosis diagnosis was confirmed by videolaparoscopy and the controlled ovarian stimulation protocol was similar to all patients. Follicular fluid (FF) lipid peroxidation levels were determined through the quantification of malondialdehyde. Statistical analysis was performed using parametric and non-parametric tests, logistic regression was performed to estimate the chance of achieving a pregnancy in each group and a moving average was calculated for the endometriosis group. Peroxidation levels in the endometriosis group were significantly higher when compared to controls. The moving average showed a decrease of MDA levels in the endometriosis group with increasing female age. Moreover, women with endometriosis who were under 33 years of age were 4.3 times more likely to achieve a pregnancy than women above that age. In conclusion, endometriosis is associated with increased FF oxidative stress (OS) in patients undergoing in vitro fertilization (IVF). Also, increasing age is associated with a decrease in severity of the oxidative status, but a decreased chance of pregnancy.

Protein expression in human cumulus cells as an indicator of blastocyst formation and pregnancy success.

PURPOSE: The goal for the present study was to implement a technique for protein extraction and identification in human cumulus cells (CCs). METHODS: Forty samples of CCs were collected after ovum pick-up from patients undergoing intracytoplasmic sperm injection (ICSI). Samples were split into the blastocyst group (n = 10), including patients in which all embryos converted into blastocysts, and the non-blastocyst group (n = 10), including patients in which none of the embryos reached the blastocyst stage or the positive-pregnancy (n = 10) and negative-pregnancy group (n = 10). Proteins were extracted and injected into a liquid chromatography system coupled to a mass spectrometer. The spectra were processed and used to search a database. RESULTS: There were 87 different proteins in samples from the blastocyst and non-blastocyst groups, in which 30 were exclusively expressed in the blastocyst group and 17 in the non-blastocyst group. Among the 72 proteins detected in the pregnancy groups, 19 were exclusively expressed in the positive, and 16 were exclusively expressed in the negative-pregnancy group. CONCLUSIONS: CC proteomics may be useful for predicting pregnancy success and the identification of patients that should be included in extended embryo culture programs.

Lipid Fingerprinting in Mild versus Severe Forms of Gestational Diabetes Mellitus.

The blood serum lipid profile of women with Gestational Diabetes Mellitus (GDM) is still under study. There are no data on the serum lipid profile of GDM patients with more severe (insulin treated) compared to milder forms (diet treated) GDM. The aim of our study was to analyze the blood serum lipid profile of patients with milder versus more severe forms of GDM and to compare these findings with those of healthy pregnant women. This cross-sectional analytical study included 30 insulin-treated GDM, 30 diet-only GDM and 30 healthy pregnant women. Serum lipid was extracted from the 90 participants and their lipid profiles were analyzed by lipid fingerprinting using liquid-chromatography-mass spectrometry. A total of 143 parent ions were differentially represented in each of the three groups, belonging to the following classes: Glycerophospholipids, Sterol Lipids, Sphingolipids, Prenol Lipids, Fatty Acyls and Glycerolipids. There were significant differences in the lipid profiles of healthy pregnant women compared to GDM patients and also between milder versus more severe forms of GDM. There are marked differences in lipid fingerprinting between healthy pregnant women compared to those with GDM in the third trimester. Moreover, the lipid profile of women with more severe forms of GDM differs considerably from that of women with milder forms of GDM. These findings may be useful to help clarify the pathogenesis of milder and more severe forms of GDM.

Lipidomics analysis of follicular fluid by ESI-MS reveals potential biomarkers for ovarian endometriosis.

PURPOSE: The aim of the present study was to analyze the lipid profile of follicular fluid from patients with endometriosis and endometrioma who underwent in vitro fertilization treatment (IVF). METHODS: The control group (n = 10) was composed of women with tubal factor or minimal male factor infertility who had positive pregnancy outcomes after IVF. The endometriosis group consisted of women with endometriosis diagnosed by videolaparoscopy (n = 10), and from the same patients, the endometriomas fluids were collected, which composed the endometrioma group (n = 10). From the follicular fluid and endometriomas, lipids were extracted by the Bligh and Dyer method, and the samples were analyzed by tandem mass spectrometry. RESULTS: We observed phosphatidylglycerol phosphate, phosphatidylcholine, phosphatidylserine, and phosphatidylnositol bisphosphate in the control group. In the endometriosis group, sphingolipids and phosphatidylcholines were more abundant, while in the endometrioma group, sphingolipids and phosphatidylcholines with different m/z from the endometriosis group were found in high abundance. CONCLUSION: This analysis demonstrated that there is a differential representation of these lipids according to their respective groups. In addition, the lipids found are involved in important mechanisms related to endometriosis progress in the ovary. Thus, the metabolomic approach for the study of lipids may be helpful in potential biomarker discovery.

Follicular fluid alterations in endometriosis: label-free proteomics by MS(E) as a functional tool for endometriosis.

Endometriosis is a chronic gynecological condition that affects 10-32% of women of reproductive age and may lead to infertility. The study of protein profiles in follicular fluid may assist in elucidating possible biomarkers related to this disease. For this, follicular fluid samples were obtained from women with tubal factor or minimal male factor infertility who had pregnancy outcomes after in vitro fertilization (IVF) treatment (control group, n = 10), women with endometriosis (endometriosis group, n = 10), along with the endometrioma from these same patients were included (endometrioma group, n = 10). For proteomic analysis, samples were pooled according to their respective groups and normalized to protein content. Proteins were analyzed by in tandem mass spectrometry (MS(E)) Spectra processing and the ProteinLynx Global Server v.2.5. was used for database searching. Data was submitted to the biological network analysis using Cytoscape 2.8.2 with ClueGO plugin. As a result, 535 proteins were identified among all groups. The control group differentially or uniquely expressed 33 (6%) proteins and equal expression of 98 (18%) proteins was observed in the control and endometriosis groups of which 41 (7%) proteins were further identified and/or quantified. Six (1%) proteins were observed in both the endometriosis and endometrioma groups, but 212 (39%) proteins were exclusively identified and/or quantified in the endometrioma group. There were 9 (1%) proteins observed in both the control and endometrioma groups and there were 139 (25%) proteins common among all three groups. Distinct differences among the protein profiles in the follicular fluid of patients included in this study were found, identifying proteins related to the disease progression and IVF success. Thus, some pathways related to endometriosis are associated with the presence of specific proteins, as well as the absence of others. This study provides a first step to the development of more sensitive diagnostic tests and treatment.

Follicular fluid lipid fingerprinting from women with PCOS and hyper response during IVF treatment.

PURPOSE: Polycystic ovary syndrome (PCOS) is an endocrine-metabolic disorder that leads to lower natural reproductive potential and presents a challenge for assisted reproductive medicine because patients may exhibit immature oocyte retrieval and a higher risk of ovarian hyper stimulation syndrome during in vitro fertilization (IVF) treatment. This study aimed to identify potential lipid biomarkers for women with PCOS and a hyper response to controlled ovarian stimulation. METHODS: Follicular fluid samples were collected from patients who underwent IVF, including normal responder women who became pregnant (control group, n = 11), women with PCOS and a hyper response to gonadotropins (PCOS group, n = 7) and women with only hyper response to gonadotropins (HR group, n = 7). A lipidomic analysis was performed by electrospray ionization mass spectrometry, and candidate biomarkers were analyzed by tandem mass spectrometry experiment. RESULTS: The lipid profiles indicated particularities related to differences in phosphatidylcholine (PCOS and HR), phosphatidylserine, phosphatydilinositol and phosphatidylglycerol (control), sphingolipids (PCOS) and phosphatidylethanolamine (control and HR). CONCLUSIONS: These findings contribute to the understanding of the molecular mechanisms associated with lipid metabolism in the PCOS-related hyper response, and strongly suggest that these lipids may be useful as biomarkers, leading to the development of more individualized treatment for pregnancy outcome.

Lipid profiling of follicular fluid from women undergoing IVF: young poor ovarian responders versus normal responders.

This study identified possible lipid biomarkers in follicular fluid from women with poor ovarian response. These biomarkers indicate pathophysiological pathways and have potential diagnostic applications. An observational case-control study of young women undergoing ovarian stimulation for in-vitro fertilization was conducted. The participants were categorized into a poor ovarian response group and a normal ovarian response to stimulation group. All of the women underwent the same ovarian stimulation protocol, and follicular fluid was collected after ovarian aspiration. Analyses were performed using matrix-assisted laser desorption/ionization mass spectrometry. Principal component analysis and Volcano plots were used to describe follicular fluid classification models based on the lipid profiles. A total of 10 lipids were differentially expressed between the study and control groups. Of these lipid ions, three belonged to the phosphatidylcholine subclass and were present in higher concentrations in the control group. The other seven differential lipids were present in the study group and classified into four lipid subclasses: phosphatidylethanolamines, phosphatidylglycerols, phosphatidylinositols, and diacylglycerols. These distinctive lipids may be involved in hormonal responses and oocyte development processes and may be useful as biomarkers for therapeutic intervention in women with poor ovarian response.

Proteomic analysis of follicular fluid from women with and without endometriosis: new therapeutic targets and biomarkers.

Endometriosis is a gynecological disease that affects women of reproductive age. The protein profiles of women with endometriosis who were able or unable to achieve pregnancy and women without endometriosis who did achieve pregnancy were compared in this study. The follicular fluid was collected from 21 patients undergoing in vitro-fertilization treatment, according to the following groups: nine women in the control group (Group C), four women with endometriosis who achieved pregnancy (Group E.P), and eight women with endometriosis who did not achieve pregnancy (Group E.NP). Follicular fluid proteins were separated using 2D-electrophoresis, and their spots were compared, excised, and submitted to LC-ESI-MS/MS for proteins identification. The analysis showed 29 differentially expressed spots among the groups, and from these, 21 proteins were identified. Analysis showed some functional enrichment in the E.P group, including response to oxidative stress and apoptosis, while the E.NP group showed functions related to response to reactive oxygen species and positive regulation of apoptosis. These data suggest that endometriosis leads to differential protein expression in the follicular fluid, which can influences the outcome of pregnancy. These proteins may be potential targets for better diagnostics and new therapeutic intervention in affected women, as well as assisting in comprehending the physiopathologic mechanisms underlying endometriosis.

The follicular microenviroment as a predictor of pregnancy: MALDI-TOF MS lipid profile in cumulus cells.

PURPOSE: This research proposed to study the changes in lipid composition in cumulus cells (CCs) from women who achieved pregnancy compared with women who did not, after in vitro fertilization treatment. This approach has the potential to provide novel information on the lipid metabolism of the CCs and as an additional method to predict pregnancy. METHOD: Fifty-four samples from couples with tubal and male factor infertility and where the female partner was age 35 or younger were divided in two groups according to their level of hCG 14 days after embryo transfer as follows: (1) 23 samples in pregnant group and (2) 31 samples in non-pregnant group. Lipid extraction was performed by the Bligh-Dyer protocol, and lipid profiles were obtained by MALDI-TOF MS. Mass spectra data were processed with MassLynx, and statistical analysis was performed using MarkerLynx extended statistic. OPLS-DA model was built. RESULTS: S-plot Analysis revealed three ions as potential markers in the pregnant group, and five ions in the non-pregnant group. These ions were identified in the human metabolome database (HMDB) as phosphatidylcholine in the pregnant group and as phosphatidylethanolamine, phosphatidylserine and phosphatidylinositol species in the non-pregnant group. These lipids might be involved in cell proliferation and differentiation, apoptosis and GAP junction regulation. CONCLUSION: We conclude that MALDI-TOF MS can be used as an informative and fast analytical strategy to obtain and study the lipid profile of cumulus cells and can potentially be used as a supporting tool to predict pregnancy based on the metabolic state of the CCs.