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Li X, Du M, Liu Y, Wang M, Shen Y, Xing J, Zhang L, Zhao Y, Bou G, Bai D, Dugarjaviin M, Xia W. Proteome and metabolomic profile of Mongolian horse follicular fluid during follicle development. Sci Rep 2024; 14:19788. [PMID: 39187528 PMCID: PMC11347562 DOI: 10.1038/s41598-024-66686-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Accepted: 07/03/2024] [Indexed: 08/28/2024] Open
Abstract
During follicular development, changes in the composition of the follicular fluid are synchronized with the development of oocytes. Our aim was to screen the key factors affecting oocyte maturation and optimize the in vitro culture protocol by understanding the changes of proteins and metabolites in follicular fluid. Follicles are divided into three groups according to their diameter (small follicle fluid (SFF): 10 mm < d < 20 mm; medium follicle fluid (MFF): 20 mm < d < 30 mm; large follicle fluid (LFF): 30 mm < d). Proteins and metabolites from the follicular fluid were analyzed by mass spectrometry. The results showed that: in LFF vs MFF, 20 differential abundant protein (DAP) and 88 differential abundant metabolites (DAM) were screened out; In SFF vs MFF, 3 DAPs and 65 DAMs were screened out; In MFF vs SFF, 24 DAPs and 35 DAMs were screened out. The analysis of differential proteins and metabolites showed that glycerophosphate hydrolysis decreased during follicular development, and proteins played a major role in metabolism and binding. In addition, DAMs and DAPs are co-enriched in the "linoleic acid metabolism" pathway. Combinatorial analysis reveals the dynamic profile of follicular fluid during follicular development and provides fundation for further exploring the function of follicular fluid in Mongolian horse.
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Affiliation(s)
- Xinyu Li
- College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Ming Du
- College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Yuanyi Liu
- College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Min Wang
- College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Yingchao Shen
- College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Jingya Xing
- College of Animal Science and Technology, Qingdao Agricultural University, Qingdao, 266000, China
| | - Lei Zhang
- College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Yiping Zhao
- College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Gerelchimeg Bou
- College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Dongyi Bai
- College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Manglai Dugarjaviin
- College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China.
| | - Wei Xia
- College of Animal Science and Technology, Hebei Agricultural University, Baoding, 071000, China.
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Cooney LG, Sammel MD, Lee I, Clapp MA, Goldsammler M, Scott E, Bjorkman S, Fisher BT, Dokras A. The details matter: personalized prediction of live birth after in vitro fertilization in women with polycystic ovary syndrome. Fertil Steril 2024; 121:1010-1019. [PMID: 38307452 DOI: 10.1016/j.fertnstert.2024.01.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/17/2024] [Accepted: 01/25/2024] [Indexed: 02/04/2024]
Abstract
OBJECTIVE To derive and internally validate a clinical prediction model for live birth (LB) in women with polycystic ovary syndrome (PCOS) undergoing in vitro fertilization (IVF). DESIGN Retrospective cohort study. SETTING Four academic reproductive endocrinology clinics. PATIENTS A total of 207 women with PCOS confirmed using Rotterdam criteria undergoing their first fresh IVF cycle. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURE The primary outcome was cumulative LB per IVF cycle start. This included any LB that resulted from either fresh embryo transfer or any subsequent frozen embryo transfer from embryos obtained at the index oocyte retrieval. A prediction model was derived using multivariable logistic regression. Covariates considered for inclusion in the prediction model included demographic characteristics, medical history, and prior fertility treatment. Predicted probabilities for LB were calculated using the prediction model which included the 90% shrinkage factor for each adjusted odds ratio. RESULTS The final model, on the basis of maximization of the area under the receiver operating characteristic curve, included age < 35 years, White race, presence of polycystic ovaries on ultrasound (polycystic ovary morphology), normal body mass index (<25 kg/m2), being metabolically healthy (no metabolic risk factors), and being a nonresponder to ovulation induction agents including letrozole and clomiphene citrate. The area under the receiver operating characteristic curve score for the model was 0.68 (95% confidence interval [CI]: 0.60, 0.77). Predicted probabilities of LB ranged from 8.1% (95% CI: 2.8, 21.5) for a woman who had no favorable predictors to 74.2% (95% CI: 59.5, 84.9) for a woman who had all favorable predictors. CONCLUSION Our study demonstrated that, in addition to anovulation, the underlying pathophysiology and associated comorbidities alter the likelihood of a successful pregnancy in women with PCOS undergoing IVF. Further validation of this model is needed before it can serve as a tool to personalize prediction estimates for the probability of LB in women with PCOS.
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Affiliation(s)
- Laura G Cooney
- Department of Obstetrics and Gynecology, University of Wisconsin, Middleton, Wisconsin; Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, Pennsylvania.
| | - Mary D Sammel
- Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Biostatistics, Epidemiology and Informatics, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Iris Lee
- Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - M Alexa Clapp
- Department of Obstetrics and Gynecology, Montefiore's Institute for Reproductive Medicine and Health, Hartsdale, New York
| | - Michelle Goldsammler
- Department of Obstetrics and Gynecology, Montefiore's Institute for Reproductive Medicine and Health, Hartsdale, New York
| | - Erin Scott
- Department of Obstetrics and Gynecology, University of Rochester, Rochester, New York
| | - Sarah Bjorkman
- Department of Obstetrics and Gynecology, Yale School of Medicine, New Haven, Connecticut
| | - Brian T Fisher
- Department of Biostatistics, Epidemiology and Informatics, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Anuja Dokras
- Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, Pennsylvania
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Fiscus J, Fraison É, Renault L, Salle B, Panthu B, Labrune E. Metabolic signature of follicular fluid in infertility-related diseases: a narrative review. Reprod Biomed Online 2024; 48:103762. [PMID: 38537523 DOI: 10.1016/j.rbmo.2023.103762] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Revised: 11/26/2023] [Accepted: 11/29/2023] [Indexed: 06/11/2024]
Abstract
Metabolomics offers new methods to identify biomarkers for oocyte and embryo quality, and for a better understanding of the physiopathology of infertility. This review investigated the latest findings regarding metabolome-derived biomarkers in follicular fluid of women with the most common types of infertility, and the potential impact on reproductive medicine outcomes. PubMed was searched for publications on metabolomics and human follicular fluid, and key biomarkers, kinetics and relationships with infertility diseases were identified. A reduced concentration of glucose and increased concentrations of lactate and pyruvate were found in follicular fluid of patients with endometriosis and diminished ovarian reserve, and the opposite was found in patients with polycystic ovary syndrome. These signatures may lead to the hypothesis of changed metabolite concentrations in patients with endometriosis and diminished ovarian reserve, and a metabolic pathway alteration with decreased aerobic glycolysis in patients with polycystic ovary syndrome. However, the pattern found in patients with endometriosis and low responders may also be expected in follicular fluid of fertile women. Larger studies are needed to confirm the results. An international database may help to highlight follicular fluid biomarkers in order to improve the selection of cryopreserved oocytes, and to enrich culture medium to restore normal metabolism and improve reproductive treatment outcomes.
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Affiliation(s)
- Julie Fiscus
- Hospices Civils de Lyon, service de médecine de la reproduction et préservation de fertilité, Inserm U1208, SBRI, Bron, France; Université Claude Bernard Lyon 1, faculté de médecine Laennec, Lyon, France
| | - Éloïse Fraison
- Hospices Civils de Lyon, service de médecine de la reproduction et préservation de fertilité, Inserm U1208, SBRI, Bron, France; Université Claude Bernard Lyon 1, faculté de médecine Laennec, Lyon, France
| | - Lucie Renault
- Hospices Civils de Lyon, service de médecine de la reproduction et préservation de fertilité, Inserm U1208, SBRI, Bron, France; Université Claude Bernard Lyon 1, faculté de médecine Laennec, Lyon, France
| | - Bruno Salle
- Hospices Civils de Lyon, service de médecine de la reproduction et préservation de fertilité, Inserm U1208, SBRI, Bron, France; Université Claude Bernard Lyon 1, faculté de médecine Laennec, Lyon, France
| | - Baptiste Panthu
- CarMeN Laboratory, Université Claude Bernard Lyon 1, Pierre-Bénite, France.
| | - Elsa Labrune
- Hospices Civils de Lyon, service de médecine de la reproduction et préservation de fertilité, Inserm U1208, SBRI, Bron, France; Université Claude Bernard Lyon 1, faculté de médecine Laennec, Lyon, France.
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Qian Y, Tong Y, Zeng Y, Huang J, Liu K, Xie Y, Chen J, Gao M, Liu L, Zhao J, Hong Y, Nie X. Integrated lipid metabolomics and proteomics analysis reveal the pathogenesis of polycystic ovary syndrome. J Transl Med 2024; 22:364. [PMID: 38632610 PMCID: PMC11022415 DOI: 10.1186/s12967-024-05167-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 04/05/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Polycystic ovary syndrome (PCOS) is an endocrinological and metabolic disorder that can lead to female infertility. Lipid metabolomics and proteomics are the new disciplines in systems biology aimed to discover metabolic pathway changes in diseases and diagnosis of biomarkers. This study aims to reveal the features of PCOS to explore its pathogenesis at the protein and metabolic level. METHODS We collected follicular fluid samples and granulosa cells of women with PCOS and normal women who underwent in vitro fertilization(IVF) and embryo transfer were recruited. The samples were for the lipidomic study and the proteomic study based on the latest metabolomics and proteomics research platform. RESULTS Lipid metabolomic analysis revealed abnormal metabolism of glycerides, glycerophospholipids, and sphingomyelin in the FF of PCOS. Differential lipids were strongly linked with the rate of high-quality embryos. In total, 144 differentially expressed proteins were screened in ovarian granulosa cells in women with PCOS compared to controls. Go functional enrichment analysis showed that differential proteins were associated with blood coagulation and lead to follicular development disorders. CONCLUSION The results showed that the differential lipid metabolites and proteins in PCOS were closely related to follicle quality,which can be potential biomarkers for oocyte maturation and ART outcomes.
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Affiliation(s)
- Yu Qian
- Department of Reproductive Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Yun Tong
- Department of Reproductive Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Yaqiong Zeng
- Department of Reproductive Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Jingyu Huang
- Department of Reproductive Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Kailu Liu
- Department of Reproductive Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Ying Xie
- Department of Reproductive Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Juan Chen
- Department of Reproductive Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Mengya Gao
- Department of Reproductive Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Li Liu
- Department of Reproductive Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Juan Zhao
- Department of Reproductive Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Yanli Hong
- Department of Reproductive Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
| | - Xiaowei Nie
- Department of Reproductive Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
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He Y, Wang X, Liu Q, Liu H, Yang S. Exploring the mechanism of clomiphene citrate to improve ovulation disorder in PCOS rats based on follicular fluid metabolomics. NAUNYN-SCHMIEDEBERG'S ARCHIVES OF PHARMACOLOGY 2024; 397:2281-2296. [PMID: 37815607 DOI: 10.1007/s00210-023-02750-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 09/26/2023] [Indexed: 10/11/2023]
Abstract
To examine the effects of clomiphene citrate (CC) on follicular fluid metabolites and related metabolic pathways in rats with polycystic ovary syndrome (PCOS) using non-targeted metabolomics and determine how CC treats ovulation disorder in PCOS. The Sprague Dawley rats were randomly divided into control, model, and CC groups. A PCOS model was established with letrozole. Body weight, ovarian weight, estrus cycles, serum hormone levels, and ovary histopathology of the rats were collected for further evaluation. Moreover, through ultra-performance liquid chromatography-mass spectrometry, the study of follicular fluid metabolites revealed the mechanism of action of CC. CC reduced ovarian weight and regulated estrous cycles and serum hormone levels in PCOS rats but did not affect their body weight. Moreover, the metabolomic results showed that CC adjusted 153 metabolites, among which 16 cross metabolites like testosterone, androstenedione, 17α-hydroxyprogesterone, and cholic acid were considered as potential biomarkers for CC to improve ovulation disorders in PCOS rats. Kyoto Encyclopedia of Genes and Genomes pathway enrichment also showed that the CC group mainly engaged in tryptophan metabolism and steroid hormone biosynthesis. CC can improve ovulation disorders in rats, and its mechanism is related to the regulation of the secretion of serum hormone and follicular fluid metabolites and the amelioration of multi-metabolic pathways.
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Affiliation(s)
- Yiqing He
- College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, 410208, Hunan, China
| | - Xi Wang
- College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, 410208, Hunan, China
| | - Quan Liu
- College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, 410208, Hunan, China
| | - Huiping Liu
- Hunan University of Chinese Medicine, Changsha, 410208, Hunan, China
| | - Shuo Yang
- Hunan University of Chinese Medicine, Changsha, 410208, Hunan, China.
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Li ZC, Wang J, Liu HB, Zheng YM, Huang JH, Cai JB, Zhang L, Liu X, Du L, Yang XT, Chai XQ, Jiang YH, Ren ZG, Zhou J, Fan J, Yu DC, Sun HC, Huang C, Liu F. Proteomic and metabolomic features in patients with HCC responding to lenvatinib and anti-PD1 therapy. Cell Rep 2024; 43:113877. [PMID: 38421869 DOI: 10.1016/j.celrep.2024.113877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 12/16/2023] [Accepted: 02/13/2024] [Indexed: 03/02/2024] Open
Abstract
Combination therapy (lenvatinib/programmed death-1 inhibitor) is effective for treating unresectable hepatocellular carcinoma (uHCC). We reveal that responders have better overall and progression-free survival, as well as high tumor mutation burden and special somatic variants. We analyze the proteome and metabolome of 82 plasma samples from patients with hepatocellular carcinoma (HCC; n = 51) and normal controls (n = 15), revealing that individual differences outweigh treatment differences. Responders exhibit enhanced activity in the alternative/lectin complement pathway and higher levels of lysophosphatidylcholines (LysoPCs), predicting a favorable prognosis. Non-responders are enriched for immunoglobulins, predicting worse outcomes. Compared to normal controls, HCC plasma proteins show acute inflammatory response and platelet activation, while LysoPCs decrease. Combination therapy increases LysoPCs/phosphocholines in responders. Logistic regression/random forest models using metabolomic features achieve good performance in the prediction of responders. Proteomic analysis of cancer tissues unveils molecular features that are associated with side effects in responders receiving combination therapy. In conclusion, our analysis identifies plasma features associated with uHCC responders to combination therapy.
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Affiliation(s)
- Zhong-Chen Li
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China; Department of Hepatic Oncology, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jie Wang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China; Minhang Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical of Sciences, Fudan University, 131 DongAn Road, Shanghai 200032, China
| | - He-Bin Liu
- Shanghai Omicsolution Co., Ltd., 28 Yuanwen Road, Shanghai 201199, China
| | - Yi-Min Zheng
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Jian-Hang Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China; Minhang Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical of Sciences, Fudan University, 131 DongAn Road, Shanghai 200032, China
| | - Jia-Bin Cai
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Lei Zhang
- Institutes of Biomedical of Sciences, Fudan University, 220 Handan Road, Shanghai 200433, China
| | - Xin Liu
- Department of Central Laboratory Medicine, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, 274 Zhijiang Road, Shanghai 200071, China
| | - Ling Du
- Minhang Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical of Sciences, Fudan University, 131 DongAn Road, Shanghai 200032, China
| | - Xue-Ting Yang
- Minhang Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical of Sciences, Fudan University, 131 DongAn Road, Shanghai 200032, China
| | - Xiao-Qiang Chai
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Ying-Hua Jiang
- Minhang Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical of Sciences, Fudan University, 131 DongAn Road, Shanghai 200032, China
| | - Zheng-Gang Ren
- Department of Hepatic Oncology, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China
| | - De-Cai Yu
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China.
| | - Hui-Chuan Sun
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China.
| | - Cheng Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China.
| | - Feng Liu
- Minhang Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical of Sciences, Fudan University, 131 DongAn Road, Shanghai 200032, China.
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Dai M, Hong L, Yin T, Liu S. Disturbed Follicular Microenvironment in Polycystic Ovary Syndrome: Relationship to Oocyte Quality and Infertility. Endocrinology 2024; 165:bqae023. [PMID: 38375912 DOI: 10.1210/endocr/bqae023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 02/15/2024] [Accepted: 02/15/2024] [Indexed: 02/21/2024]
Abstract
Polycystic ovary syndrome (PCOS) is a common endocrine disorder associated with infertility and poor reproductive outcomes. The follicular fluid (FF) microenvironment plays a crucial role in oocyte development. This review summarizes evidence elucidating the alterations in FF composition in PCOS. Various studies demonstrated a pronounced proinflammatory milieu in PCOS FF, characterized by increased levels of cytokines, including but not limited to interleukin-6 (IL-6), tumor necrosis factor α, C-reactive protein, and IL-1β, concomitant with a reduction in anti-inflammatory IL-10. T lymphocytes and antigen-presenting cells are dysregulated in PCOS FF. PCOS FF exhibit heightened reactive oxygen species production and the accumulation of lipid peroxidation byproducts, and impaired antioxidant defenses. Multiple microRNAs are dysregulated in PCOS FF, disrupting signaling critical to granulosa cell function. Proteomic analysis reveals changes in pathways related to immune responses, metabolic perturbations, angiogenesis, and hormone regulation. Metabolomics identify disturbances in glucose metabolism, amino acids, lipid profiles, and steroid levels with PCOS FF. Collectively, these pathological alterations may adversely affect oocyte quality, embryo development, and fertility outcomes. Further research on larger cohorts is needed to validate these findings and to forge the development of prognostic biomarkers of oocyte developmental competence within FF. Characterizing the follicular environment in PCOS is key to elucidating the mechanisms underlying subfertility in this challenging disorder.
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Affiliation(s)
- Mengyang Dai
- Reproductive Medical Center, Renmin Hospital of Wuhan University and Hubei Clinic Research Center for Assisted Reproductive Technology and Embryonic Development, Wuhan 430061, China
| | - Ling Hong
- Shenzhen Key Laboratory of Reproductive Immunology for Peri-implantation, Shenzhen Zhongshan Institute for Reproductive Medicine and Genetics, Shenzhen Zhongshan Obstetrics & Gynecology Hospital (formerly Shenzhen Zhongshan Urology Hospital), Shenzhen 518000, China
- Guangdong Engineering Technology Research Center of Reproductive Immunology for Peri-implantation, Shenzhen 518000, China
| | - Tailang Yin
- Reproductive Medical Center, Renmin Hospital of Wuhan University and Hubei Clinic Research Center for Assisted Reproductive Technology and Embryonic Development, Wuhan 430061, China
| | - Su Liu
- Shenzhen Key Laboratory of Reproductive Immunology for Peri-implantation, Shenzhen Zhongshan Institute for Reproductive Medicine and Genetics, Shenzhen Zhongshan Obstetrics & Gynecology Hospital (formerly Shenzhen Zhongshan Urology Hospital), Shenzhen 518000, China
- Guangdong Engineering Technology Research Center of Reproductive Immunology for Peri-implantation, Shenzhen 518000, China
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Kobayashi H, Imanaka S. Recent progress in metabolomics for analyzing common infertility conditions that affect ovarian function. Reprod Med Biol 2024; 23:e12609. [PMID: 39351127 PMCID: PMC11442066 DOI: 10.1002/rmb2.12609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2024] [Revised: 09/11/2024] [Accepted: 09/16/2024] [Indexed: 10/04/2024] Open
Abstract
Background Numerous efforts have been undertaken to identify biomarkers associated with embryo and oocyte quality to improve the success rate of in vitro fertilization. Metabolomics has gained traction for its ability to detect dynamic biological changes in real time and provide comprehensive metabolite profiles. This review synthesizes the most recent findings on metabolomic analysis of follicular fluid (FF) in clinical conditions leading to infertility, with a focus on the dynamics of energy metabolism and oocyte quality, and discusses future research directions. Methods A literature search was conducted without time constraints. Main findings The metabolites present in FF originate from five primary pathways: glycolysis, oxidative phosphorylation, lipid metabolism and β-oxidation, nucleic acid synthesis, and ketogenesis. Metabolomic profiling can broadly categorize infertile women into two groups: those with infertility due to aging and endometriosis, and those with infertility associated with polycystic ovarian syndrome and obesity. In the former group, glycolysis and lipid metabolism are upregulated to compensate for mitochondrial dysfunction, whereas the latter group exhibits the opposite trend. Assessing the levels of glucose, pyruvate, lactate, and plasmalogens in FF may be valuable for evaluating oocyte quality. Conclusion Metabolomic analysis, particularly focusing on energy metabolism in FF, holds promise for predicting female reproductive outcomes.
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Affiliation(s)
- Hiroshi Kobayashi
- Department of Gynecology and Reproductive MedicineMs.Clinic MayOneKashiharaJapan
- Department of Obstetrics and GynecologyNara Medical UniversityKashiharaJapan
| | - Shogo Imanaka
- Department of Gynecology and Reproductive MedicineMs.Clinic MayOneKashiharaJapan
- Department of Obstetrics and GynecologyNara Medical UniversityKashiharaJapan
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Moreira MV, Vale-Fernandes E, Albergaria IC, Alves MG, Monteiro MP. Follicular fluid composition and reproductive outcomes of women with polycystic ovary syndrome undergoing in vitro fertilization: A systematic review. Rev Endocr Metab Disord 2023; 24:1045-1073. [PMID: 37493841 PMCID: PMC10697886 DOI: 10.1007/s11154-023-09819-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/19/2023] [Indexed: 07/27/2023]
Abstract
Polycystic ovary syndrome (PCOS) is recognized as one of the most prevalent endocrinopathy in women at reproductive age. As affected women tend to have poorer assisted reproductive technology (ART) outcomes, PCOS has been suggested to endanger oocyte quality and competence development. The aim of this systematic review was to summarize the available evidence on how the follicular fluid (FF) profile of women with PCOS undergoing in vitro fertilization (IVF) treatment differs from the FF of normo-ovulatory women. For that, an electronic search in PubMed and Web of Science databases was conducted (up to December 2021). The Preferred Reporting Items for Systematic Reviews and Meta-Analyses - PRISMA guidelines were followed, and the Newcastle-Ottawa Scale was used to assess the risk of bias in the included studies. Data retrieved from papers included (n=42), revealed that the FF composition of women with PCOS compared to those without PCOS predominantly diverged at the following molecular classes: oxidative stress, inflammatory biomarkers, growth factors and hormones. Among those biomarkers, some were proposed as being closely related to pathophysiological processes, strengthening the hypothesis that low-grade inflammation and oxidative stress play a critical role in the pathogenesis of PCOS. Notwithstanding, it should be noticed that the available data on PCOS FF fingerprints derives from a limited number of studies conducted in a relatively small number of subjects. Furthermore, phenotypic heterogeneity of PCOS hampers wider comparisons and weakens putative conclusions. Therefore, future studies should be focused at comparing well characterized patient subgroups according to phenotypes.
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Affiliation(s)
- Mafalda V Moreira
- ICBAS - School of Medicine and Biomedical Sciences, UMIB - Unit for Multidisciplinary Research in Biomedicine, University of Porto, Rua Jorge Viterbo Ferreira, Porto, 228 4050-313, Portugal
- ITR- Laboratory for Integrative, Translational Research in Population Health, Porto, Portugal
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
| | - Emídio Vale-Fernandes
- ICBAS - School of Medicine and Biomedical Sciences, UMIB - Unit for Multidisciplinary Research in Biomedicine, University of Porto, Rua Jorge Viterbo Ferreira, Porto, 228 4050-313, Portugal
- ITR- Laboratory for Integrative, Translational Research in Population Health, Porto, Portugal
- Centre for Medically Assisted Procreation / Public Gamete Bank, Gynaecology Department, Centro Materno-Infantil do Norte Dr. Albino Aroso (CMIN), Centro Hospitalar Universitário de Santo António (CHUdSA), 4099-001, Porto, Portugal
| | - Inês C Albergaria
- ICBAS - School of Medicine and Biomedical Sciences, UMIB - Unit for Multidisciplinary Research in Biomedicine, University of Porto, Rua Jorge Viterbo Ferreira, Porto, 228 4050-313, Portugal
| | - Marco G Alves
- ICBAS - School of Medicine and Biomedical Sciences, UMIB - Unit for Multidisciplinary Research in Biomedicine, University of Porto, Rua Jorge Viterbo Ferreira, Porto, 228 4050-313, Portugal
- ITR- Laboratory for Integrative, Translational Research in Population Health, Porto, Portugal
| | - Mariana P Monteiro
- ICBAS - School of Medicine and Biomedical Sciences, UMIB - Unit for Multidisciplinary Research in Biomedicine, University of Porto, Rua Jorge Viterbo Ferreira, Porto, 228 4050-313, Portugal.
- ITR- Laboratory for Integrative, Translational Research in Population Health, Porto, Portugal.
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Babu A, Ramanathan G. Multi-omics insights and therapeutic implications in polycystic ovary syndrome: a review. Funct Integr Genomics 2023; 23:130. [PMID: 37079114 DOI: 10.1007/s10142-023-01053-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 04/04/2023] [Accepted: 04/08/2023] [Indexed: 04/21/2023]
Abstract
Polycystic ovary syndrome (PCOS) is a common gynecological disease that causes adverse effects in women in their reproductive phase. Nonetheless, the molecular mechanisms remain unclear. Over the last decade, sequencing and omics approaches have advanced at an increased pace. Omics initiatives have come to the forefront of biomedical research by presenting the significance of biological functions and processes. Thus, multi-omics profiling has yielded important insights into understanding the biology of PCOS by identifying potential biomarkers and therapeutic targets. Multi-omics platforms provide high-throughput data to leverage the molecular mechanisms and pathways involving genetic alteration, epigenetic regulation, transcriptional regulation, protein interaction, and metabolic alterations in PCOS. The purpose of this review is to outline the prospects of multi-omics technologies in PCOS research by revealing novel biomarkers and therapeutic targets. Finally, we address the knowledge gaps and emerging treatment strategies for the management of PCOS. Future PCOS research in multi-omics at the single-cell level may enhance diagnostic and treatment options.
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Affiliation(s)
- Achsha Babu
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, 632014, India
| | - Gnanasambandan Ramanathan
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, 632014, India.
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11
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Polycystic Ovary Syndrome: Challenges and Possible Solutions. J Clin Med 2023; 12:jcm12041500. [PMID: 36836035 PMCID: PMC9967025 DOI: 10.3390/jcm12041500] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Revised: 02/05/2023] [Accepted: 02/07/2023] [Indexed: 02/16/2023] Open
Abstract
Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders in women of reproductive age. This syndrome not only impairs female fertility but also increases the risk of obesity, diabetes, dyslipidemia, cardiovascular diseases, psychological diseases, and other health problems. Additionality, because of the high clinical heterogeneity, the current pathogenesis of PCOS is still unclear. There is still a large gap in precise diagnosis and individualized treatment. We summarize the present findings concerning the genetics, epigenetics, gut microbiota, corticolimbic brain responses, and metabolomics of the PCOS pathogenesis mechanism, highlight the remaining challenges in PCOS phenotyping and potential treatment approaches, and explain the vicious circle of intergenerational transmission of PCOS, which might provide more thoughts for better PCOS management in the future.
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12
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Li J, Zhang Z, Wei Y, Zhu P, Yin T, Wan Q. Metabonomic analysis of follicular fluid in patients with diminished ovarian reserve. Front Endocrinol (Lausanne) 2023; 14:1132621. [PMID: 36923223 PMCID: PMC10009106 DOI: 10.3389/fendo.2023.1132621] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 02/06/2023] [Indexed: 03/03/2023] Open
Abstract
BACKGROUND Ovarian reserve is an important factor determining female reproductive potential. The number and quality of oocytes in patients with diminished ovarian reserve (DOR) are reduced, and even if in vitro fertilization-embryo transfer (IVF-ET) is used to assist their pregnancy, the clinical pregnancy rate and live birth rate are still low. Infertility caused by reduced ovarian reserve is still one of the most difficult clinical problems in the field of reproduction. Follicular fluid is the microenvironment for oocyte survival, and the metabolic characteristics of follicular fluid can be obtained by metabolomics technology. By analyzing the metabolic status of follicular fluid, we hope to find the metabolic factors that affect the quality of oocytes and find new diagnostic markers to provide clues for early detection and intervention of patients with DOR. METHODS In this research, 26 infertile women with DOR and 28 volunteers with normal ovarian reserve receiving IVF/ET were recruited, and their follicular fluid samples were collected for a nontargeted metabonomic study. The orthogonal partial least squares discriminant analysis model was used to understand the separation trend of the two groups, KEGG was used to analyze the possible metabolic pathways involved in differential metabolites, and the random forest algorithm was used to establish the diagnostic model. RESULTS 12 upregulated and 32 downregulated differential metabolites were detected by metabolic analysis, mainly including amino acids, indoles, nucleosides, organic acids, steroids, phospholipids, fatty acyls, and organic oxygen compounds. Through KEGG analysis, these metabolites were mainly involved in aminoacyl-tRNA biosynthesis, tryptophan metabolism, pantothenate and CoA biosynthesis, and purine metabolism. The AUC value of the diagnostic model based on the top 10 metabolites was 0.9936. CONCLUSION The follicular fluid of patients with DOR shows unique metabolic characteristics. These data can provide us with rich biochemical information and a research basis for exploring the pathogenesis of DOR and predicting ovarian reserve function.
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Affiliation(s)
- Jianan Li
- Reproductive Medicine Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Zhourui Zhang
- The Institute for Advanced Studies, Wuhan University, Wuhan, Hubei, China
| | - Yiqiu Wei
- Reproductive Medicine Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Pujia Zhu
- The Institute for Advanced Studies, Wuhan University, Wuhan, Hubei, China
| | - Tailang Yin
- Reproductive Medicine Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
- *Correspondence: Tailang Yin, ; Qiongqiong Wan,
| | - Qiongqiong Wan
- The Institute for Advanced Studies, Wuhan University, Wuhan, Hubei, China
- *Correspondence: Tailang Yin, ; Qiongqiong Wan,
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13
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Rani S, Chandna P. Multiomics Analysis-Based Biomarkers in Diagnosis of Polycystic Ovary Syndrome. Reprod Sci 2023; 30:1-27. [PMID: 35084716 PMCID: PMC10010205 DOI: 10.1007/s43032-022-00863-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Accepted: 01/20/2022] [Indexed: 01/06/2023]
Abstract
Polycystic ovarian syndrome is an utmost communal endocrine, psychological, reproductive, and metabolic disorder that occurs in women of reproductive age with extensive range of clinical manifestations. This may even lead to long-term multiple morbidities including obesity, diabetes mellitus, insulin resistance, cardiovascular disease, infertility, cerebrovascular diseases, and ovarian and endometrial cancer. Women affliction from PCOS in midst assemblage of manifestations allied with menstrual dysfunction and androgen exorbitance, which considerably affects eminence of life. PCOS is recognized as a multifactorial disorder and systemic syndrome in first-degree family members; therefore, the etiology of PCOS syndrome has not been copiously interpreted. The disorder of PCOS comprehends numerous allied health conditions and has influenced various metabolic processes. Due to multifaceted pathophysiology engaging several pathways and proteins, single genetic diagnostic tests cannot be supportive to determine in straight way. Clarification of cellular and biochemical pathways and various genetic players underlying PCOS could upsurge our consideration of pathophysiology of this syndrome. It is requisite to know pathophysiological relationship between biomarker and their reflection towards PCOS disease. Biomarkers deliver vibrantly and potent ways to apprehend the spectrum of PCOS with applications in screening, diagnosis, characterization, and monitoring. This paper relies on the endeavor to point out many candidates as potential biomarkers based on omics technologies, thus highlighting correlation between PCOS disease with innovative technologies. Therefore, the objective of existing review is to encapsulate more findings towards cutting-edge advances in prospective use of biomarkers for PCOS disease. Discussed biomarkers may be fruitful in guiding therapies, addressing disease risk, and predicting clinical outcomes in future.
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Affiliation(s)
- Shikha Rani
- Department of Biophysics, University of Delhi, South Campus, Benito Juarez Road, New Delhi , 110021, India.
| | - Piyush Chandna
- Natdynamics Biosciences Confederation, Gurgaon, Haryana, 122001, India
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14
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Hood RB, Liang D, Tan Y, Ford J, Souter I, Jones DP, Hauser R, Gaskins AJ. Characterizing the follicular fluid metabolome: quantifying the correlation across follicles and differences with the serum metabolome. Fertil Steril 2022; 118:970-979. [PMID: 36175211 PMCID: PMC9938636 DOI: 10.1016/j.fertnstert.2022.07.023] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 07/20/2022] [Accepted: 07/21/2022] [Indexed: 02/04/2023]
Abstract
OBJECTIVE To compare the variability in metabolomes between the serum and follicular fluid, as well as across 3 dominant follicles. DESIGN Prospective cohort study. SETTING An academic fertility clinic in the northeastern United States, 2005-2015. PATIENTS One hundred thirty-five women undergoing in vitro fertilization treatment who provided a serum sample during ovarian stimulation and up to 3 follicular fluid samples during oocyte retrieval. INTERVENTION(S) None. MAIN OUTCOME MEASURE(S) Samples were analyzed using liquid chromatography with high-resolution mass spectrometry and 2 chromatography columns (C18 hydrophobic negative and hydrophilic interaction chromatography [HILIC] positive). We calculated overall, feature-specific, and subject-specific correlation coefficients to describe how strongly the intensity of overlapping metabolic features were associated between the serum and follicular fluid and between the 1st-2nd, 1st-3rd, and 2nd-3rd follicles. Feature-specific correlations were adjusted for age, body mass index, infertility diagnosis, ovarian stimulation protocol, and year. RESULT(S) From the C18-negative column and the high-resolution mass spectrometry, 7,830 serum features and 10,790 follicular fluid features were detected in ≥20% of samples. After screening retention times and checking for 1:1 matching, 1,928 features overlapped between the 2 metabolomes. From the HILIC-positive column and the high-resolution mass spectrometry, after applying the same exclusion criteria, there were 9,074 serum features, 5,542 follicular fluid features, and 1,149 features that overlapped. When comparing the feature intensity of overlapping metabolites in the serum and the follicular fluid, the overall (C18, 0.45; HILIC, 0.63), median feature-specific (C18, 0.35; HILIC, 0.37), and median subject-specific (C18, 0.42; HILIC, 0.59) correlations were low to moderate. In contrast, among the overlapping features across all 3 follicles, the overall (C18, all 0.99; HILIC, all 0.99), median feature-specific (C18, 0.74-0.81; HILIC, 0.79-0.85), and median subject-specific (C18, 0.88-0.89; HILIC, 0.90-0.91) correlations between follicular fluid metabolomics features within a woman were high. CONCLUSION(S) We observed minimal overlap and weak-to-moderate correlation between metabolomic features in the serum and follicular fluid but a large overlap and strong correlation between metabolomic features across follicles within a woman. The follicular fluid appears to represent a novel matrix, distinct from serum, which may be a rich source of biologic predictors of female fertility and reproductive outcomes.
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Affiliation(s)
- Robert B Hood
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, Georgia.
| | - Donghai Liang
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, Georgia
| | - Youran Tan
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, Georgia
| | - Jennifer Ford
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Irene Souter
- Vincent Obstetrics and Gynecology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Dean P Jones
- Division of Pulmonary, Allergy, & Critical Care Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Russ Hauser
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts; Vincent Obstetrics and Gynecology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Audrey J Gaskins
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, Georgia
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15
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Efficacy of Acupoint Application on In Vitro Fertilization Outcome in Patients with Polycystic Ovary Syndrome: A UHPLC-MS-Based Metabolomic Study. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2022; 2022:9568417. [PMID: 36276871 PMCID: PMC9586737 DOI: 10.1155/2022/9568417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Revised: 09/08/2022] [Accepted: 10/03/2022] [Indexed: 11/06/2022]
Abstract
Objective To explore the clinical effect of acupoint application on the outcome of in vitro fertilization-embryo transfer (IVF-ET) in patients with polycystic ovary syndrome (PCOS) of the phlegm-dampness type and elucidate its possible mechanism of action from the perspective of follicular fluid metabolomics. Methods A total of 90 patients undergoing IVF-ET due to infertility were selected and divided into three groups: the treatment group (PCOS with acupoint application, n = 30), the control group (PCOS without acupoint application, n = 30), and the normal group (non-PCOS, n = 30). All patients received a gonadotropin-releasing hormone agonist (GnRH-a) long protocol for controlled ovarian hyperstimulation (COH). Among them, the treatment group was also given the acupoint application from the day of pituitary downregulation to the day of the human chorionic gonadotrophin (hCG) trigger. Ultrahigh-performance liquid chromatography connected with quadrupole time-of-flight mass spectrometry (UHPLC-MS) was adopted for untargeted metabolomic analysis of follicular fluid collected from the three groups of patients on the day of oocyte pick-up (OPU). The significantly differential metabolites were screened using univariate and multivariate statistical analysis, and the related metabolic pathways were identified by the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Results Metabolomic analysis showed that the treatment group's follicular fluid samples were aggregated with the normal group and separated from the control group. A total of 34 significantly differential metabolites were found in the follicular fluid of patients with phlegm-dampness PCOS and normal people. With the intervention of acupoint application, seven metabolites (pseudouridine, phenol, 2-oxoadipic acid, 9R,10S-EpOME, DL-lactate, nicotinamide, and DL-indole-3-lactic acid) were all downregulated, mainly involving the pathways of pyruvate metabolism, nicotinate and nicotinamide metabolism, protein digestion and absorption, biosynthesis of amino acids, and pyrimidine metabolism. Conclusions Acupoint application can effectively improve the clinical symptoms and the outcome of IVF-ET treatment in patients with PCOS of the phlegm-dampness type, and its mechanism of action may be related to the regulation of the pathways of pyruvate metabolism, nicotinate and nicotinamide metabolism, protein digestion and absorption, biosynthesis of amino acids, and pyrimidine metabolism.
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Mohd Shukri MF, Norhayati MN, Badrin S, Abdul Kadir A. Effects of L-carnitine supplementation for women with polycystic ovary syndrome: a systematic review and meta-analysis. PeerJ 2022; 10:e13992. [PMID: 36132218 PMCID: PMC9484467 DOI: 10.7717/peerj.13992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 08/11/2022] [Indexed: 01/19/2023] Open
Abstract
Background Polycystic ovary syndrome (PCOS) is a disorder in reproductive age women and is characterized by hyperandrogenic anovulation and oligo-amenorrhea, which leads to infertility. Anovulation in PCOS is associated with low follicle-stimulating hormone levels and the arrest of antral follicle development in the final stages of maturation. L-carnitine (LC) plays a role in fatty acid metabolism, which is found to be lacking in PCOS patients. This systematic review and meta-analysis aimed to determine the effectiveness of LC supplementation for patients with PCOS. Methods We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Psychological Information Database (PsycINFO), and the World Health Organization International Clinical Trials Registry Platform for all randomized control trials, comparing LC alone or in combination with other standard treatments for the treatment of PCOS from inception till June 2021. We independently screened titles and abstracts to identify available trials, and complete texts of the trials were checked for eligibility. Data on the methods, interventions, outcomes, and risk of bias from the included trials were independently extracted by the authors. The estimation of risk ratios and mean differences with a 95 percent confidence interval (CI) was performed using a random-effects model. Results Nine studies with 995 participants were included in this review. Five comparison groups were involved. In one comparison group, LC reduced the fasting plasma glucose (FPG) (mean differences (MD) -5.10, 95% CI [-6.25 to -3.95]; P = 0.00001), serum low-density lipoprotein (LDL) (MD -25.00, 95% CI [-27.93 to -22.07]; P = 0.00001), serum total cholesterol (MD -21.00, 95% CI [-24.14 to -17.86]; P = 0.00001), and serum triglyceride (TG) (MD -9.00, 95% CI [-11.46 to -6.54]; P = 0.00001) with moderate certainty of evidence. Another comparison group demonstrated that LC lowers the LDL (MD -12.00, 95% CI [-15.80 to -8.20]; P = 0.00001), serum total cholesterol (MD -24.00, 95% CI [-27.61 to -20.39]; P = 0.00001), and serum TG (MD -19.00, 95% CI [-22.79 to -15.21]; P = 0.00001) with moderate certainty of evidence. Conclusion There was low to moderate certainty of evidence that LC improves Body Mass Index (BMI) and serum LDL, TG, and total cholesterol levels in women with PCOS.
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Affiliation(s)
| | - Mohd Noor Norhayati
- Department of Family Medicine, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
| | - Salziyan Badrin
- Department of Family Medicine, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
| | - Azidah Abdul Kadir
- Department of Family Medicine, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
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17
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Yang J, Li Y, Li S, Zhang Y, Feng R, Huang R, Chen M, Qian Y. Metabolic signatures in human follicular fluid identify lysophosphatidylcholine as a predictor of follicular development. Commun Biol 2022; 5:763. [PMID: 35906399 PMCID: PMC9334733 DOI: 10.1038/s42003-022-03710-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 07/12/2022] [Indexed: 12/07/2022] Open
Abstract
In order to investigate the metabolic characteristics of human follicular fluid (FF) and to reveal potential metabolic predictors of follicular development (FD) with clinical implications, we analyzed a total of 452 samples based on a two-stage study design. In the first stage, FF samples from both large follicles (LFs) and matched-small follicles (SFs) of 26 participants were analyzed with wide-spectrum targeted metabolomics. The metabolic signatures were described by multi-omics integration technology including metabolomic data and transcriptomic data. In the second stage, the potential biomarkers of FD were verified using enzyme-linked immunoassay with FF and blood serum from an independent 200 participants. We describe the FF metabolic signatures from ovarian follicles of different developmental stages. Lysophosphatidylcholine (LPC) can be used as a biomarker of FD and ovarian sensitivity, advancing the knowledge of metabolic regulation during FD and offering potential detection and therapeutic targets for follicle and oocyte health improvements in humans. A two-stage metabolomic analysis for human follicular fluid characteristics and predictors of follicular development yields metabolic signatures and proposes lysophosphatidylcholine (LPC) as a biomarker for follicular development.
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Affiliation(s)
- Jihong Yang
- Reproductive Medical Center of Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210011, China
| | - Yangbai Li
- Reproductive Medical Center of Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210011, China
| | - Suying Li
- Reproductive Medical Center of Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210011, China
| | - Yan Zhang
- Reproductive Medical Center of Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210011, China
| | - Ruizhi Feng
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China.,The Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210011, China
| | - Rui Huang
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Minjian Chen
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China. .,State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
| | - Yun Qian
- Reproductive Medical Center of Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210011, China.
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18
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Lai Y, Ye Z, Mu L, Zhang Y, Long X, Zhang C, Li R, Zhao Y, Qiao J. Elevated Levels of Follicular Fatty Acids Induce Ovarian Inflammation via ERK1/2 and Inflammasome Activation in PCOS. J Clin Endocrinol Metab 2022; 107:2307-2317. [PMID: 35521772 DOI: 10.1210/clinem/dgac281] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Indexed: 11/19/2022]
Abstract
CONTEXT Polycystic ovary syndrome (PCOS) is accompanied by chronic inflammation and metabolic disorders. Whether metabolic abnormalities affect inflammation in PCOS or not, the underlying mechanism remains to be clarified. OBJECTIVE We aimed to investigate changes in fatty acids and their effects on inflammatory response in the follicular niche of PCOS patients. METHODS This study recruited 50 PCOS patients and 50 age-matched controls for follicular fluids and ovarian mural granulosa cells collection. The human ovarian granulosa cell line KGN was used for evaluating the effect of oleic acid (OA) stimulation. The levels of follicular fatty acids were measured by liquid chromatography-tandem mass spectrometry. The concentrations of inflammatory cytokines were detected by electrochemiluminescence and enzyme-linked immunosorbent assays. The regulation of inflammation-related genes was confirmed by quantitative polymerase chain reaction and Western blotting after OA stimuli. RESULTS Three saturated fatty acids and 8 unsaturated fatty acids were significantly elevated in follicular fluids of PCOS patients compared to those in controls. The concentrations of follicular interleukin (IL)-6, IL-8, and mature IL-18 were significantly higher in the PCOS group and were positively correlated with the levels of fatty acids. Moreover, OA stimulation upregulated the transcription levels of IL-6 and IL-8 via extracellularly regulated kinase 1/2 signaling pathways in KGN cells. Furthermore, OA treatment induced reactive oxygen species production and inflammasome activation, which is manifested by enhanced caspase-1 activity and mature IL-18 protein level. CONCLUSION Fatty acid metabolism was significantly altered in the follicular niche of PCOS patients. Elevated levels of fatty acids could induce ovarian inflammation both at the transcriptional level and in posttranslational processing.
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Affiliation(s)
- Yuchen Lai
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies Peking University, Beijing 100871, China
| | - Zhenhong Ye
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing 100191, China
- Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing 100191, China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing 100191, China
| | - Liangshan Mu
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing 100191, China
| | - Yurong Zhang
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing 100191, China
- Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing 100191, China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing 100191, China
| | - Xiaoyu Long
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing 100191, China
- Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing 100191, China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing 100191, China
| | - Chunmei Zhang
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing 100191, China
- Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing 100191, China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing 100191, China
| | - Rong Li
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing 100191, China
- Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing 100191, China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing 100191, China
| | - Yue Zhao
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing 100191, China
- Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing 100191, China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing 100191, China
- Research Units of Comprehensive Diagnosis and Treatment of Oocyte Maturation Arrest, Chinese Academy of Medical Sciences, Beijing 100191, China
| | - Jie Qiao
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies Peking University, Beijing 100871, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing 100191, China
- Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing 100191, China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing 100191, China
- Research Units of Comprehensive Diagnosis and Treatment of Oocyte Maturation Arrest, Chinese Academy of Medical Sciences, Beijing 100191, China
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Zhou J, Yin P, Zhao Q, Hu Z, Wang Y, Ma G, Wu X, Lu L, Shi Y. Electroacupuncture improves follicular development and metabolism and regulates the expression of adiponectin, AMPK and ACC in an obese rat model of polycystic ovary syndrome. Acupunct Med 2022:9645284221107690. [PMID: 35831955 DOI: 10.1177/09645284221107690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Polycystic ovary syndrome (PCOS) is a common endocrine disorder characterized by hyperandrogenism and follicular arrest. Electroacupuncture (EA) has been shown to be effective at improving hyperandrogenism and follicular arrest in PCOS; however, its mechanism of action remains to be deciphered. OBJECTIVE In this study, we investigated whether EA improved follicular development in an obese rat model of PCOS and regulated the expression of adiponectin, AMP-activated protein kinase (AMPK) and acetyl-CoA carboxylase (ACC). METHODS EA was administered at CV3, CV4 and ST40. Changes in body weight, paraovarian fat, estrus cycle, ovarian morphology, levels of related hormones, and glucose and lipid metabolism were evaluated. In addition, protein and mRNA expression of adiponectin, AMPK and ACC was measured. RESULTS The body weight and paraovarian fat of rats in the EA group were reduced, while estrus cyclicity and ovarian morphology improved. Levels of free fatty acids, triglycerides, total cholesterol and low-density lipoprotein cholesterol were significantly reduced in the EA group, as well as blood glucose levels. Furthermore, levels of testosterone and luteinizing hormone were reduced in the EA group, while estradiol levels were increased. Protein and mRNA expression of adiponectin, AMPKα1 and liver kinase B1 (LKB1) was found to be increased in the EA group, while protein and mRNA expression of ACC were significantly reduced.Conclusion: Our findings suggest that EA improved follicular development and metabolism and regulated expression levels of adiponectin, AMPKα1, LKB1 and ACC in our obese rat model of PCOS.
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Affiliation(s)
- Jing Zhou
- Department of Acupuncture and Moxibustion, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Ping Yin
- Reproduction Medicine Center, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Qingyi Zhao
- Graduate School, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zhihai Hu
- Department of Acupuncture and Moxibustion, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yi Wang
- Department of Acupuncture and Moxibustion, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Guizhi Ma
- Department of Acupuncture and Moxibustion, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xinyi Wu
- Graduate School, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Lu Lu
- Reproduction Medicine Center, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yin Shi
- Key Laboratory of Acupuncture and Immunological Effects, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,Department of Acupuncture and Moxibustion, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Brinca AT, Ramalhinho AC, Sousa Â, Oliani AH, Breitenfeld L, Passarinha LA, Gallardo E. Follicular Fluid: A Powerful Tool for the Understanding and Diagnosis of Polycystic Ovary Syndrome. Biomedicines 2022; 10:1254. [PMID: 35740276 PMCID: PMC9219683 DOI: 10.3390/biomedicines10061254] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 05/23/2022] [Accepted: 05/24/2022] [Indexed: 02/04/2023] Open
Abstract
Polycystic ovary syndrome (PCOS) represents one of the leading causes of anovulatory infertility and affects 5% to 20% of women worldwide. Until today, both the subsequent etiology and pathophysiology of PCOS remain unclear, and patients with PCOS that undergo assisted reproductive techniques (ART) might present a poor to exaggerated response, low oocyte quality, ovarian hyperstimulation syndrome, as well as changes in the follicular fluid metabolites pattern. These abnormalities originate a decrease of Metaphase II (MII) oocytes and decreased rates for fertilization, cleavage, implantation, blastocyst conversion, poor egg to follicle ratio, and increased miscarriages. Focus on obtaining high-quality embryos has been taken into more consideration over the years. Nowadays, the use of metabolomic analysis in the quantification of proteins and peptides in biological matrices might predict, with more accuracy, the success in assisted reproductive technology. In this article, we review the use of human follicular fluid as the matrix in metabolomic analysis for diagnostic and ART predictor of success for PCOS patients.
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Affiliation(s)
- Ana Teresa Brinca
- Health Sciences Research Centre, Faculty of Health Sciences, University of Beira Interior, 6200-506 Covilhã, Portugal; (A.T.B.); (Â.S.); (L.B.)
| | - Ana Cristina Ramalhinho
- Health Sciences Research Centre, Faculty of Health Sciences, University of Beira Interior, 6200-506 Covilhã, Portugal; (A.T.B.); (Â.S.); (L.B.)
- Assisted Reproduction Laboratory of Academic Hospital of Cova da Beira, 6200-251 Covilhã, Portugal;
- C4-Cloud Computing Competence Centre, University of Beira Interior, 6201-001 Covilhã, Portugal
| | - Ângela Sousa
- Health Sciences Research Centre, Faculty of Health Sciences, University of Beira Interior, 6200-506 Covilhã, Portugal; (A.T.B.); (Â.S.); (L.B.)
| | - António Hélio Oliani
- Assisted Reproduction Laboratory of Academic Hospital of Cova da Beira, 6200-251 Covilhã, Portugal;
- São José do Rio Preto School of Medicine, Gynaecology and Obstetrics, São José do Rio Preto 15090-000, Brazil
| | - Luiza Breitenfeld
- Health Sciences Research Centre, Faculty of Health Sciences, University of Beira Interior, 6200-506 Covilhã, Portugal; (A.T.B.); (Â.S.); (L.B.)
- C4-Cloud Computing Competence Centre, University of Beira Interior, 6201-001 Covilhã, Portugal
| | - Luís A. Passarinha
- Health Sciences Research Centre, Faculty of Health Sciences, University of Beira Interior, 6200-506 Covilhã, Portugal; (A.T.B.); (Â.S.); (L.B.)
- UCIBIO–Applied Molecular Biosciences Unit, Departament of Chemistry, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
- Associate Laboratory i4HB-Institute for Health and Bioeconomy, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2819-516 Caparica, Portugal
- Laboratório de Fármaco-Toxicologia, UBIMedical, University of Beira Interior, 6200-284 Covilhã, Portugal
| | - Eugenia Gallardo
- Health Sciences Research Centre, Faculty of Health Sciences, University of Beira Interior, 6200-506 Covilhã, Portugal; (A.T.B.); (Â.S.); (L.B.)
- Laboratório de Fármaco-Toxicologia, UBIMedical, University of Beira Interior, 6200-284 Covilhã, Portugal
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21
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Zhang M, Hu R, Huang Y, Zhou F, Li F, Liu Z, Geng Y, Dong H, Ma W, Song K, Song Y. Present and Future: Crosstalks Between Polycystic Ovary Syndrome and Gut Metabolites Relating to Gut Microbiota. Front Endocrinol (Lausanne) 2022; 13:933110. [PMID: 35928893 PMCID: PMC9343597 DOI: 10.3389/fendo.2022.933110] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 06/20/2022] [Indexed: 11/30/2022] Open
Abstract
Polycystic ovary syndrome (PCOS) is a common disease, affecting 8%-13% of the females of reproductive age, thereby compromising their fertility and long-term health. However, the pathogenesis of PCOS is still unclear. It is not only a reproductive endocrine disease, dominated by hyperandrogenemia, but also is accompanied by different degrees of metabolic abnormalities and insulin resistance. With a deeper understanding of its pathogenesis, more small metabolic molecules, such as bile acids, amino acids, and short-chain fatty acids, have been reported to be involved in the pathological process of PCOS. Recently, the critical role of gut microbiota in metabolism has been focused on. The gut microbiota-related metabolic pathways can significantly affect inflammation levels, insulin signaling, glucose metabolism, lipid metabolism, and hormonal secretions. Although the abnormalities in gut microbiota and metabolites might not be the initial factors of PCOS, they may have a significant role in the pathological process of PCOS. The dysbiosis of gut microbiota and disturbance of gut metabolites can affect the progression of PCOS. Meanwhile, PCOS itself can adversely affect the function of gut, thereby contributing to the aggravation of the disease. Inhibiting this vicious cycle might alleviate the symptoms of PCOS. However, the role of gut microbiota in PCOS has not been fully explored yet. This review aims to summarize the potential effects and modulative mechanisms of the gut metabolites on PCOS and suggests its potential intervention targets, thus providing more possible treatment options for PCOS in the future.
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Affiliation(s)
- Mingmin Zhang
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Runan Hu
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanjing Huang
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fanru Zhou
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fan Li
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhuo Liu
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuli Geng
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Haoxu Dong
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenwen Ma
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kunkun Song
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yufan Song
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Yufan Song,
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22
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Guan SY, Liu YY, Guo Y, Shen XX, Liu Y, Jin HX. Potential biomarkers for clinical outcomes of IVF cycles in women with/without PCOS: Searching with metabolomics. Front Endocrinol (Lausanne) 2022; 13:982200. [PMID: 36120473 PMCID: PMC9478024 DOI: 10.3389/fendo.2022.982200] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 08/16/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Polycystic ovary syndrome (PCOS) is a heterogeneous endocrinological and metabolic disorder which is the common cause of female infertility. The dysmetabolism displayed in it has not been completely ascertained. Metabonomics may shed light on understanding many small molecule endogenous metabolites and their associated metabolic pathways. OBJECTIVE To analyze the different metabolites and related metabolic pathways in follicular fluid and embryo culture fluid of PCOS and non-PCOS groups. Finding markers predictable for clinical outcomes of in vitro fertilization-embryo transfer (IVF-ET) treatment. POPULATION AND SAMPLE 60 women who underwent IVF-ET were selected, including 30 with PCOS and 30 with the fallopian tubal issues only. We collected the first tube follicular fluid (FF) of all patients at the time of oocyte pick up and the waste embryo culture medium (ECM) after D3 high-quality embryo transplant. METHODS All samples were performed nontargeted Ultra High Performance Liquid Chromatography-Mass Spectrometry (UHPLC-QE-MS) analysis. Related metabolic pathways were screened by KEGG annotation. To search potential indicators, the logistic regression was made combined with clinical data. MEAN OUTCOME MEASURES Predictive performance of markers of clinical outcomes (pregnancy rate, delivery rate, live birth rate, miscarriage rate) of assisted reproductive technology (ART). RESULTS Comparing the PCOS group against the non-PCOS group, we found 11 significantly different metabolites in the FF and 56 in the ECM. There are a total of 11 kinds of biomarkers associated with clinical outcomes. Androsterone sulfate, Glycerophosphocholine, and Elaidic carnitine seem robust to predict the abortion rate of the PCOS group, with an AUC of 0.941, 0.933, 0.933, respectively. The glycerol phospholipid metabolic pathway is enriched in both the follicular fluid and embryo culture fluid. CONCLUSIONS The differential metabolites were mainly a variety of lipids. Some of them can predict clinical outcomes to a certain extent.
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Affiliation(s)
- Shang-yue Guan
- Center for Reproductive Medicine, Zhengzhou University First Affiliated Hospital, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, Zhengzhou University First Affiliated Hospital, Zhengzhou, China
| | - Yuan-yuan Liu
- Center for Reproductive Medicine, Zhengzhou University First Affiliated Hospital, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, Zhengzhou University First Affiliated Hospital, Zhengzhou, China
| | - Yuhan Guo
- Center for Reproductive Medicine, Zhengzhou University First Affiliated Hospital, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, Zhengzhou University First Affiliated Hospital, Zhengzhou, China
| | - Xiao-xue Shen
- Center for Reproductive Medicine, Zhengzhou University First Affiliated Hospital, Zhengzhou, China
| | - Yan Liu
- Center for Reproductive Medicine, Zhengzhou University First Affiliated Hospital, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, Zhengzhou University First Affiliated Hospital, Zhengzhou, China
| | - Hai-xia Jin
- Center for Reproductive Medicine, Zhengzhou University First Affiliated Hospital, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, Zhengzhou University First Affiliated Hospital, Zhengzhou, China
- *Correspondence: Hai-xia Jin,
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23
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Huang X, Hong L, Wu Y, Chen M, Kong P, Ruan J, Teng X, Wei Z. Raman Spectrum of Follicular Fluid: A Potential Biomarker for Oocyte Developmental Competence in Polycystic Ovary Syndrome. Front Cell Dev Biol 2021; 9:777224. [PMID: 34858993 PMCID: PMC8632455 DOI: 10.3389/fcell.2021.777224] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 10/28/2021] [Indexed: 12/29/2022] Open
Abstract
Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder in reproductive women where abnormal folliculogenesis is considered as a common characteristic. Our aim is to evaluate the potential of follicular fluid (FF) Raman spectra to predict embryo development and pregnancy outcome, so as to prioritize the best promising embryo for implantation, reducing both physiological and economical burdens of PCOS patients. In addition, the altered metabolic profiles will be identified to explore the aetiology and pathobiology of PCOS. In this study, follicular fluid samples obtained from 150 PCOS and 150 non-PCOS women were measured with Raman spectroscopy. Individual Raman spectrum was analyzed to find biologic components contributing to the occurrence of PCOS. More importantly, the Raman spectra of follicular fluid from the 150 PCOS patients were analyzed via machine-learning algorithms to evaluate their predictive value for oocyte development potential and clinical pregnancy. Mean-centered Raman spectra and principal component analysis (PCA) showed global differences in the footprints of follicular fluid between PCOS and non-PCOS women. Two Raman zones (993-1,165 cm-1 and 1,439-1,678 cm-1) were identified for describing the largest variances between the two groups, with the former higher and the latter lower in PCOS FF. The tentative assignments of corresponding Raman bands included phenylalanine and β -carotene. Moreover, it was found that FF, in which oocytes would develop into high-quality blastocysts and obtain high clinical pregnancy rate, were detected with lower quantification of the integration at 993-1,165 cm-1 and higher quantification of the integration at 1,439-1,678 cm-1 in PCOS. In addition, based on Raman spectra of PCOS FF, the machine-learning algorithms via the fully connected artificial neural network (ANN) achieved the overall accuracies of 90 and 74% in correctly assigning oocyte developmental potential and clinical pregnancy, respectively. The study suggests that the PCOS displays unique metabolic profiles in follicular fluid which could be detected by Raman spectroscopy. Specific bands in Raman spectra have the biomarker potential to predict the embryo development and pregnancy outcome for PCOS patients. Importantly, these data may provide some valuable biochemical information and metabolic signatures that will help us to understand the abnormal follicular development in PCOS.
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Affiliation(s)
- Xin Huang
- Department of Assisted Reproduction, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ling Hong
- Department of Assisted Reproduction, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yuanyuan Wu
- Department of Assisted Reproduction, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Miaoxin Chen
- Department of Assisted Reproduction, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Pengcheng Kong
- Department of Assisted Reproduction, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Jingling Ruan
- Department of Assisted Reproduction, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Xiaoming Teng
- Department of Assisted Reproduction, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Zhiyun Wei
- Department of Assisted Reproduction, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
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Chen J, Zhou Q, Zhang Y, Tan W, Gao H, Zhou L, Xiao S, Gao J, Li J, Zhu Z. Discovery of novel serum metabolic biomarkers in patients with polycystic ovarian syndrome and premature ovarian failure. Bioengineered 2021; 12:8778-8792. [PMID: 34696698 PMCID: PMC8806610 DOI: 10.1080/21655979.2021.1982312] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Several widely recognized metabolites play a role in regulating the pathophysiological processes of various disorders. Nonetheless, the lack of effective biomarkers for the early diagnosis of polycystic ovarian syndrome (PCOS) and premature ovarian failure (POF) has led to the discovery of serum-based metabolic biomarkers for these disorders. We aimed to identify various differentially expressed metabolites (DEMs) through serum-based metabolic profiling in patients with PCOS and POF and in healthy individuals by using liquid chromatography–mass spectrometry analysis. Furthermore, heatmap clustering, correlation, and Z-score analyses were performed to identify the top DEMs. Kyoto Encyclopedia of Genes and Genomes enriched pathways of DEMs were determined using metabolite-based databases. Moreover, the clinical significance of these DEMs was evaluated on the basis of area under the receiver operating characteristic curve. Significantly dysregulated expressions of several metabolites were observed in the intergroup comparisons of the PCOS, POF, and healthy control groups. Furthermore, 6 DEMs were most frequently observed among the three groups. The expressions of these DEMs were not only directly correlated but also exhibited potential significance in patients with PCOS and POF. Novel metabolites with up/downregulated expressions can be discovered in patients with PCOS and POF using serum-based metabolomics; these metabolites show good diagnostic performance and can act as effective biomarkers for the early detection of PCOS and POF. Furthermore, these metabolites might be involved in the pathophysiological mechanisms of PCOS and POF via interplay with corresponding genes.
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Affiliation(s)
- Jiying Chen
- Department of Obstetrics and Gynecology, Shenzhen Longhua District Central Hospital, Guangdong Medical University Affiliated Longhua District Central Hospital, Shenzhen, China
| | - Qinger Zhou
- Department of Obstetrics and Gynecology, Shenzhen Longhua District Central Hospital, Guangdong Medical University Affiliated Longhua District Central Hospital, Shenzhen, China
| | - Yonggang Zhang
- Department of Clinical Laboratory, Shenzhen Longhua District Central Hospital, Guangdong Medical University, Shenzhen, China
| | - Wenqing Tan
- Department of General Practice, Shenzhen Longhua District Central Hospital, Guangdong Medical University Affiliated Longhua District Central Hospital, Shenzhen, China
| | - Hanchao Gao
- Department of Medical Laboratory, Shenzhen Longhua District Central Hospital, Guangdong Medical University Affiliated Longhua District Central Hospital, Shenzhen, China
| | - Liying Zhou
- Department of Obstetrics and Gynecology, Shenzhen Longhua District Central Hospital, Guangdong Medical University Affiliated Longhua District Central Hospital, Shenzhen, China
| | - Shuixiu Xiao
- Department of Obstetrics and Gynecology, Shenzhen Longhua District Central Hospital, Guangdong Medical University Affiliated Longhua District Central Hospital, Shenzhen, China
| | - Jinhua Gao
- Department of Obstetrics and Gynecology, Shenzhen Longhua District Central Hospital, Guangdong Medical University Affiliated Longhua District Central Hospital, Shenzhen, China
| | - Jing Li
- Department of Obstetrics and Gynecology, Shenzhen Longhua District Central Hospital, Guangdong Medical University Affiliated Longhua District Central Hospital, Shenzhen, China
| | - Zhiying Zhu
- Department of Obstetrics and Gynecology, Shenzhen Longhua District Central Hospital, Guangdong Medical University Affiliated Longhua District Central Hospital, Shenzhen, China
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25
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Ban Y, Ran H, Chen Y, Ma L. Lipidomics analysis of human follicular fluid form normal-weight patients with polycystic ovary syndrome: a pilot study. J Ovarian Res 2021; 14:135. [PMID: 34645507 PMCID: PMC8515674 DOI: 10.1186/s13048-021-00885-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 09/20/2021] [Indexed: 12/21/2022] Open
Abstract
Background The polycystic ovary syndrome (PCOS) is the most common endocrine associated with insulin resistance, even in the absence of overweight. The global lipid profile of the follicular fluid in PCOS with normal weight as yet has not been investigated. The objection of this pilot study was to explore the changes of lipids in the follicular fluid of PCOS with normal weight. Methods Follicular fluid samples were collected from patients who underwent IVF, including normal-weight women without PCOS (control group, n = 10) and normal-weight women with PCOS (PCOS group, n = 8). A lipidomic analysis was performed by high performance liquid chromatography/ mass spectrometry (HPLC-MS). Multidimensional statistical analysis was performed to disclose the global differences between the two groups. Further, differential lipid analysis between the two groups was performed by Fold Change Analysis (FC Analysis) and T-test to screen potential markers. Results All 812 species of 32 subclasses of lipids were identified by lipidomics analysis. 108 kinds of lipids were considered as the potential candidate differential metabolites with the score of variable importance in the project (VIP) more than 1 by the orthogonal partial least squares discriminant analysis. 32 lipids were significantly different between the PCOS group and the control group simultaneously with FC > 1.5 or FC < 0.67, p-value < 0.05 and VIP value > 1. These differential species of lipid belong to lipid subclasses including triglycerides (TG), phosphatidylethanolamines (PE) and phosphatidylinositols (PI). Conclusion The identified differential lipids in the follicular fluid may be considered as candidate biomarkers as well as therapeutic targets of PCOS with normal-weight. Supplementary Information The online version contains supplementary material available at 10.1186/s13048-021-00885-y.
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Affiliation(s)
- Yanna Ban
- Reproductive Medicine Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, P. R. China
| | - Haiying Ran
- Biomedical Analysis Center, College of Basic Medical Sciences, Army Medical University, Chongqing, 400038, P. R. China
| | - Ying Chen
- Reproductive Medicine Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, P. R. China
| | - Li Ma
- The Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, P. R. China. .,Laboratory of Lipid &Glucose Metabolism, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, P. R. China.
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26
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Lazzarino G, Pallisco R, Bilotta G, Listorti I, Mangione R, Saab MW, Caruso G, Amorini AM, Brundo MV, Lazzarino G, Tavazzi B, Bilotta P. Altered Follicular Fluid Metabolic Pattern Correlates with Female Infertility and Outcome Measures of In Vitro Fertilization. Int J Mol Sci 2021; 22:8735. [PMID: 34445441 PMCID: PMC8395780 DOI: 10.3390/ijms22168735] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/03/2021] [Accepted: 08/06/2021] [Indexed: 12/15/2022] Open
Abstract
Nearly 40-50% of infertility problems are estimated to be of female origin. Previous studies dedicated to the analysis of metabolites in follicular fluid (FF) produced contrasting results, although some valuable indexes capable to discriminate control groups (CTRL) from infertile females (IF) and correlate with outcome measures of assisted reproduction techniques were in some instances found. In this study, we analyzed in blind FF of 35 control subjects (CTRL = patients in which inability to obtain pregnancy was exclusively due to a male factor) and 145 IF (affected by: endometriosis, n = 19; polycystic ovary syndrome, n = 14; age-related reduced ovarian reserve, n = 58; reduced ovarian reserve, n = 29; unexplained infertility, n = 14; genetic infertility, n = 11) to determine concentrations of 55 water- and fat-soluble low molecular weight compounds (antioxidants, oxidative/nitrosative stress-related compounds, purines, pyrimidines, energy-related metabolites, and amino acids). Results evidenced that 27/55 of them had significantly different values in IF with respect to those measured in CTRL. The metabolic pattern of these potential biomarkers of infertility was cumulated (in both CTRL and IF) into a Biomarker Score index (incorporating the metabolic anomalies of FF), that fully discriminated CTRL (mean Biomarker Score value = 4.00 ± 2.30) from IF (mean Biomarker Score value = 14.88 ± 3.09, p < 0.001). The Biomarker Score values were significantly higher than those of CTRL in each of the six subgroups of IF. Posterior probability curves and ROC curve indicated that values of the Biomarker Score clustered CTRL and IF into two distinct groups, based on the individual FF metabolic profile. Furthermore, Biomarker Score values correlated with outcome measures of ovarian stimulation, in vitro fertilization, number and quality of blastocysts, clinical pregnancy, and healthy offspring. These results strongly suggest that the biochemical quality of FF deeply influences not only the effectiveness of IVF procedures but also the following embryonic development up to healthy newborns. The targeted metabolomic analysis of FF (using empowered Redox Energy Test) and the subsequent calculation of the Biomarker Score evidenced a set of 27 low molecular weight infertility biomarkers potentially useful in the laboratory managing of female infertility and to predict the success of assisted reproduction techniques.
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Affiliation(s)
- Giacomo Lazzarino
- UniCamillus—Saint Camillus International University of Health Sciences, Via di Sant’Alessandro 8, 00131 Rome, Italy;
| | - Romina Pallisco
- Alma Res Fertility Center, Laboratory of Andrology and Embriology, Via Parenzo 12, 00198 Rome, Italy; (R.P.); (G.B.); (I.L.)
| | - Gabriele Bilotta
- Alma Res Fertility Center, Laboratory of Andrology and Embriology, Via Parenzo 12, 00198 Rome, Italy; (R.P.); (G.B.); (I.L.)
| | - Ilaria Listorti
- Alma Res Fertility Center, Laboratory of Andrology and Embriology, Via Parenzo 12, 00198 Rome, Italy; (R.P.); (G.B.); (I.L.)
| | - Renata Mangione
- Department of Basic Biotechnological Sciences, Intensive and Perioperative Clinics, Catholic University of Rome, Largo F. Vito 1, 00168 Rome, Italy;
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Miriam Wissam Saab
- Department of Biomedical and Biotechnological Sciences, Division of Medical Biochemistry, University of Catania, Viale A. Doria 6, 95125 Catania, Italy; (M.W.S.); (A.M.A.)
| | - Giuseppe Caruso
- Department of Drug and Health Sciences, University of Catania, Viale A. Doria 6, 95125 Catania, Italy;
| | - Angela Maria Amorini
- Department of Biomedical and Biotechnological Sciences, Division of Medical Biochemistry, University of Catania, Viale A. Doria 6, 95125 Catania, Italy; (M.W.S.); (A.M.A.)
| | - Maria Violetta Brundo
- Department of Biology, Geology and Environmental Sciences, Section of Animal Biology, University of Catania, Via Androne 81, 95124 Catania, Italy;
| | - Giuseppe Lazzarino
- Department of Biomedical and Biotechnological Sciences, Division of Medical Biochemistry, University of Catania, Viale A. Doria 6, 95125 Catania, Italy; (M.W.S.); (A.M.A.)
- Department of Biomedical and Biotechnological Sciences, LTA-Biotech srl, Viale Don Orione 3D, 95047 Paternò, Italy
| | - Barbara Tavazzi
- Department of Basic Biotechnological Sciences, Intensive and Perioperative Clinics, Catholic University of Rome, Largo F. Vito 1, 00168 Rome, Italy;
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Pasquale Bilotta
- Alma Res Fertility Center, Obstetrics and Gynecology, Via Parenzo 12, 00198 Rome, Italy;
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Mo J, Sun L, Cheng J, Lu Y, Wei Y, Qin G, Liang J, Lan G. Non-targeted Metabolomics Reveals Metabolic Characteristics of Porcine Atretic Follicles. Front Vet Sci 2021; 8:679947. [PMID: 34381832 PMCID: PMC8350117 DOI: 10.3389/fvets.2021.679947] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 06/25/2021] [Indexed: 01/27/2023] Open
Abstract
Follicular atresia is one of the main factors limiting the reproductive power of domestic animals. At present, the molecular mechanisms involved in porcine follicular atresia at the metabolic level remain unclear. In this study, we divided the follicles of Bama Xiang pigs into healthy follicles (HFs) and atretic follicles (AFs) based on the follicle morphology. The expression of genes related to atresia in granulosa cells (GCs) and the concentration of hormones in the follicular fluid (FF) from HFs and AFs were detected. We then used liquid chromatography–mass spectrometry-based non-targeted metabolomic approach to analyze the metabolites in the FF from HFs and AFs. The results showed that the content of estradiol was significantly lower in AFs than in HFs, whereas that of progesterone was significantly higher in AFs than that in HFs. The expression of BCL2, VEGFA, and CYP19A1 was significantly higher in HFs than in AFs. In contrast, the expression of BAX and CASPASE3 was significantly lower in HFs. A total of 18 differential metabolites (DMs) were identified, including phospholipids, bioactive substances, and amino acids. The DMs were involved in 12 metabolic pathways, including arginine biosynthesis and primary bile acid biosynthesis. The levels of eight DMs were higher in the HF group than those in the AF group (p < 0.01), and those of 10 DMs were higher in the AF group than those in the HF group (p < 0.01). These findings indicate that the metabolic characteristics of porcine AFs are lower levels of lipids such as phospholipids and higher levels of amino acids and bile acids than those in HFs. Disorders of amino acid metabolism and cholic acid metabolism may contribute to porcine follicular atresia.
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Affiliation(s)
- Jiayuan Mo
- College of Animal Science and Technology, Guangxi University, Nanning, China
| | - Le Sun
- College of Animal Science and Technology, Guangxi University, Nanning, China
| | - Juanru Cheng
- Key Laboratory of Buffalo Genetics, Guangxi Buffalo Research Institute, Chinese Academy of Agricultural Science, Nanning, China
| | - Yujie Lu
- College of Animal Science and Technology, Guangxi University, Nanning, China
| | - Yaochang Wei
- College of Animal Science and Technology, Guangxi University, Nanning, China
| | - Guangsheng Qin
- Key Laboratory of Buffalo Genetics, Guangxi Buffalo Research Institute, Chinese Academy of Agricultural Science, Nanning, China
| | - Jing Liang
- College of Animal Science and Technology, Guangxi University, Nanning, China
| | - Ganqiu Lan
- College of Animal Science and Technology, Guangxi University, Nanning, China
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28
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Mukherjee S, Sundfeldt K, Borrebaeck CAK, Jakobsson ME. Comprehending the Proteomic Landscape of Ovarian Cancer: A Road to the Discovery of Disease Biomarkers. Proteomes 2021; 9:25. [PMID: 34070600 PMCID: PMC8163166 DOI: 10.3390/proteomes9020025] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 05/20/2021] [Accepted: 05/21/2021] [Indexed: 12/28/2022] Open
Abstract
Despite recent technological advancements allowing the characterization of cancers at a molecular level along with biomarkers for cancer diagnosis, the management of ovarian cancers (OC) remains challenging. Proteins assume functions encoded by the genome and the complete set of proteins, termed the proteome, reflects the health state. Comprehending the circulatory proteomic profiles for OC subtypes, therefore, has the potential to reveal biomarkers with clinical utility concerning early diagnosis or to predict response to specific therapies. Furthermore, characterization of the proteomic landscape of tumor-derived tissue, cell lines, and PDX models has led to the molecular stratification of patient groups, with implications for personalized therapy and management of drug resistance. Here, we review single and multiple marker panels that have been identified through proteomic investigations of patient sera, effusions, and other biospecimens. We discuss their clinical utility and implementation into clinical practice.
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Affiliation(s)
- Shuvolina Mukherjee
- Department of Immunotechnology, Lund University, 22100 Lund, Sweden; (S.M.); (C.A.K.B.)
| | - Karin Sundfeldt
- Sahlgrenska Center for Cancer Research, Department of Obstetrics and Gynecology, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden;
| | - Carl A. K. Borrebaeck
- Department of Immunotechnology, Lund University, 22100 Lund, Sweden; (S.M.); (C.A.K.B.)
| | - Magnus E. Jakobsson
- Department of Immunotechnology, Lund University, 22100 Lund, Sweden; (S.M.); (C.A.K.B.)
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29
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Yan S, Ding J, Zhang Y, Wang J, Zhang S, Yin T, Yang J. C1QTNF6 participates in the pathogenesis of PCOS by affecting the inflammatory response of granulosa cells‡. Biol Reprod 2021; 105:427-438. [PMID: 33959757 DOI: 10.1093/biolre/ioab094] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Revised: 03/31/2021] [Accepted: 04/29/2021] [Indexed: 02/05/2023] Open
Abstract
Polycystic ovary syndrome (PCOS) is a common reproductive endocrine disease. It has been reported that chronic low-grade inflammation might participate in its pathogenesis. C1q and TNF related 6 (C1QTNF6) is a newly identified adiponectin paralog associated with inflammation. The aim of the present study was to investigate the role of C1QTNF6 in the development of chronic inflammation in PCOS and the underlying molecular mechanism. After analyzing the expression of C1QTNF6 in the serum and granulosa cells (GCs) of PCOS patients and healthy controls, we verified the roles of C1QTNF6 in inflammation through dehydroepiandrosterone-induced PCOS mouse models and cell models of lipopolysaccharide (LPS)-induced inflammation. The results demonstrated that C1QTNF6 expression in the serum and GCs of patients with PCOS was significantly elevated compared with those of the controls, and similar results were observed in the serum and ovary of PCOS mouse models. In PCOS mice and C1QTNF6-overexpressing PCOS mice, serum levels of pro-inflammatory factors including C-reactive protein (CRP), interleukin 6 (IL6), and tumor necrosis factor-α (TNFα) were increased, while the opposite effects were observed when C1QTNF6 was down-regulated in PCOS mice. Furthermore, C1QTNF6 overexpression up-regulated the levels of TNFα, IL6, and CRP and activated the AKT/NF-κB pathway in LPS-treated KGN cells, whereas C1QTNF6 knockdown and BAY-117082 (an NF-κB inhibitor) treatment resulted in the opposite effects. Taken together, our results indicate that C1QTNF6 is involved in the pathogenesis of PCOS by affecting the inflammatory response via the AKT/NF-κB signaling pathway.
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Affiliation(s)
- Sisi Yan
- Reproductive Medical Center, Renmin Hospital of Wuhan University and Hubei Clinic Research Center for Assisted Reproductive Technology and Embryonic Development, Wuhan, China
| | - Jinli Ding
- Reproductive Medical Center, Renmin Hospital of Wuhan University and Hubei Clinic Research Center for Assisted Reproductive Technology and Embryonic Development, Wuhan, China
| | - Yi Zhang
- Reproductive Medical Center, Renmin Hospital of Wuhan University and Hubei Clinic Research Center for Assisted Reproductive Technology and Embryonic Development, Wuhan, China
| | - Jiayu Wang
- Reproductive Medical Center, Renmin Hospital of Wuhan University and Hubei Clinic Research Center for Assisted Reproductive Technology and Embryonic Development, Wuhan, China
| | - Sainan Zhang
- Reproductive Medical Center, Renmin Hospital of Wuhan University and Hubei Clinic Research Center for Assisted Reproductive Technology and Embryonic Development, Wuhan, China
| | - Tailang Yin
- Reproductive Medical Center, Renmin Hospital of Wuhan University and Hubei Clinic Research Center for Assisted Reproductive Technology and Embryonic Development, Wuhan, China
| | - Jing Yang
- Reproductive Medical Center, Renmin Hospital of Wuhan University and Hubei Clinic Research Center for Assisted Reproductive Technology and Embryonic Development, Wuhan, China
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30
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Alesi S, Ghelani D, Mousa A. Metabolomic Biomarkers in Polycystic Ovary Syndrome: A Review of the Evidence. Semin Reprod Med 2021; 39:102-110. [PMID: 33946122 DOI: 10.1055/s-0041-1729841] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Polycystic ovary syndrome (PCOS) is an endocrinologic condition affecting one in five women of reproductive age. PCOS is often characterized by disruptions to the menstrual cycle, development of male-pattern hair growth (hirsutism), and polycystic ovary morphology. Recently, PCOS has been linked to metabolic dysfunction, with 40 to 80% of women characterized as overweight or obese. Despite these well-known negative health effects of PCOS, 75% of sufferers remain undiagnosed. This is most likely due to the variability in symptom presentation and the lack of a definitive test for the condition. Metabolomics, which is a platform used to analyze and characterize a large number of metabolites, has recently been proposed as a potential tool for investigating the metabolic pathways that could be involved in the pathophysiology of PCOS. In doing so, novel biomarkers could be identified to improve diagnosis and treatment of PCOS. This review aims to summarize the findings of recent metabolomic studies that highlight metabolic-specific molecules which are deranged in PCOS, to identify potential biomarkers for the condition. Current limitations for metabolomic studies are discussed, as well as future directions to progress the field toward further validation and integration into clinical practice.
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Affiliation(s)
- Simon Alesi
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Drishti Ghelani
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Aya Mousa
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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31
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Porter L, Shoushtarizadeh A, Jelinek GA, Brown CR, Lim CK, de Livera AM, Jacobs KR, Weiland TJ. Metabolomic Biomarkers of Multiple Sclerosis: A Systematic Review. Front Mol Biosci 2020; 7:574133. [PMID: 33381517 PMCID: PMC7768024 DOI: 10.3389/fmolb.2020.574133] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 10/27/2020] [Indexed: 01/07/2023] Open
Abstract
Background Magnetic resonance imaging (MRI), cerebrospinal fluid (CSF) analysis, and the McDonald’s clinical criteria are currently utilized tools in diagnosing multiple sclerosis. However, a more conclusive, consistent, and efficient way of diagnosing multiple sclerosis (MS) is yet to be discovered. A potential biomarker, discovered using advances in high-throughput sequencing such as nuclear magnetic resonance (NMR) spectroscopy and other “Omics”-based techniques, may make diagnosis and prognosis more reliable resulting in a more personalized and targeted treatment regime and improved outcomes. The aim of this review was to systematically search the literature for potential biomarkers from any bodily fluid that could consistently and accurately diagnose MS and/or indicate disease progression. Methods A systematic literature review of EMBASE, PubMed (MEDLINE), The Cochrane Library, and CINAHL databases produced over a thousand potential studies. Inclusion criteria stated studies with potential biomarker outcomes for people with MS were to be included in the review. Studies were limited to those with human participants who had a clinically defined diagnosis of MS and published in English, with no limit placed on date of publication or the type of bodily fluid sampled. Results A total of 1,805 studies were recorded from the literature search. A total of 1,760 studies were removed based on their abstract, with a further 18 removed after considering the full text. A total of 30 studies were considered relevant and had their data retrieved and analyzed. Due to the heterogeneity of focus and results from the refined studies, a narrative synthesis was favored. Conclusion Several promising candidate biomarkers suitable for clinical application in MS have been studied. It is recommended follow-up studies with larger sample sizes be completed on several potential biomarkers.
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Affiliation(s)
- Lachlan Porter
- Neuroepidemiology Unit, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia
| | - Alireza Shoushtarizadeh
- Neuroepidemiology Unit, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia
| | - George A Jelinek
- Neuroepidemiology Unit, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia
| | - Chelsea R Brown
- The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Chai K Lim
- Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, Macquarie Park, NSW, Australia
| | - Alysha M de Livera
- Neuroepidemiology Unit, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia
| | - Kelly R Jacobs
- Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, Macquarie Park, NSW, Australia
| | - Tracey J Weiland
- Neuroepidemiology Unit, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia
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32
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Hou E, Zhao Y, Hang J, Qiao J. Metabolomics and correlation network analysis of follicular fluid reveals associations between l-tryptophan, l-tyrosine and polycystic ovary syndrome. Biomed Chromatogr 2020; 35:e4993. [PMID: 32986877 DOI: 10.1002/bmc.4993] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 09/15/2020] [Accepted: 09/21/2020] [Indexed: 12/24/2022]
Abstract
Polycystic ovary syndrome (PCOS) is an endocrine and metabolic disorder in women of reproductive age. Some studies have investigated metabolic alterations in plasma and follicular fluid from PCOS patients, but they did not control for obesity or insulin resistance (IR); additionally, correlation analysis of metabolites is sparse. Accordingly, in this study, we aimed to examine metabolic differences owing to the pathogenesis of PCOS, identify the hub metabolites and investigate its associations with androgens. We applied GC-MS platform coupled with a correlation network approach to analyze follicular fluid samples from 32 PCOS patients without obesity and IR and 31 healthy women. Thirty significantly altered metabolites in PCOS patients were enriched in amino acid metabolism. l-Phenylalanine, l-tryptophan, pyroglutamic acid, l-tyrosine, l-leucine and l-valine were screened as hub metabolites in metabolic correlation network. Among them, increased l-tryptophan and l-tyrosine were altered hub metabolites, and they had a more significant impact on the metabolic change of PCOS. In addition, l-tryptophan and l-tyrosine were significantly positively associated with serum androgens levels in the PCOS. Our results suggest that disorders of amino acid metabolism, especially tryptophan and tyrosine metabolism, might play an important role in the development of PCOS in predisposed women without obesity and IR.
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Affiliation(s)
- Entai Hou
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China.,Ministry of Education, Key Laboratory of Assisted Reproduction (Peking University), Beijing, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproduction (Peking University Third Hospital), Beijing, China
| | - Yue Zhao
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China.,Ministry of Education, Key Laboratory of Assisted Reproduction (Peking University), Beijing, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproduction (Peking University Third Hospital), Beijing, China
| | - Jing Hang
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China.,Ministry of Education, Key Laboratory of Assisted Reproduction (Peking University), Beijing, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproduction (Peking University Third Hospital), Beijing, China
| | - Jie Qiao
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China.,Ministry of Education, Key Laboratory of Assisted Reproduction (Peking University), Beijing, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproduction (Peking University Third Hospital), Beijing, China
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33
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Rajska A, Buszewska-Forajta M, Rachoń D, Markuszewski MJ. Metabolomic Insight into Polycystic Ovary Syndrome-An Overview. Int J Mol Sci 2020; 21:ijms21144853. [PMID: 32659951 PMCID: PMC7402307 DOI: 10.3390/ijms21144853] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 07/04/2020] [Accepted: 07/07/2020] [Indexed: 12/13/2022] Open
Abstract
Searching for the mechanisms of the polycystic ovary syndrome (PCOS) pathophysiology has become a crucial aspect of research performed in the last decades. However, the pathogenesis of this complex and heterogeneous endocrinopathy remains unknown. Thus, there is a need to investigate the metabolic pathways, which could be involved in the pathophysiology of PCOS and to find the metabolic markers of this disorder. The application of metabolomics gives a promising insight into the research on PCOS. It is a valuable and rapidly expanding tool, enabling the discovery of novel metabolites, which may be the potential biomarkers of several metabolic and endocrine disorders. The utilization of this approach could also improve the process of diagnosis and therefore, make treatment more effective. This review article aims to summarize actual and meaningful metabolomic studies in PCOS and point to the potential biomarkers detected in serum, urine, and follicular fluid of the affected women.
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Affiliation(s)
- Anna Rajska
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Hallera 107, 80-416 Gdańsk, Poland; (A.R.); (M.B.-F.)
| | - Magdalena Buszewska-Forajta
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Hallera 107, 80-416 Gdańsk, Poland; (A.R.); (M.B.-F.)
| | - Dominik Rachoń
- Department of Clinical and Experimental Endocrinology, Medical University of Gdańsk, Dębinki 7, 80-211 Gdańsk, Poland;
| | - Michał Jan Markuszewski
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Hallera 107, 80-416 Gdańsk, Poland; (A.R.); (M.B.-F.)
- Correspondence:
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34
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Knuplez E, Marsche G. An Updated Review of Pro- and Anti-Inflammatory Properties of Plasma Lysophosphatidylcholines in the Vascular System. Int J Mol Sci 2020; 21:E4501. [PMID: 32599910 PMCID: PMC7350010 DOI: 10.3390/ijms21124501] [Citation(s) in RCA: 99] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 06/19/2020] [Accepted: 06/23/2020] [Indexed: 12/14/2022] Open
Abstract
Lysophosphatidylcholines are a group of bioactive lipids heavily investigated in the context of inflammation and atherosclerosis development. While present in plasma during physiological conditions, their concentration can drastically increase in certain inflammatory states. Lysophosphatidylcholines are widely regarded as potent pro-inflammatory and deleterious mediators, but an increasing number of more recent studies show multiple beneficial properties under various pathological conditions. Many of the discrepancies in the published studies are due to the investigation of different species or mixtures of lysophatidylcholines and the use of supra-physiological concentrations in the absence of serum or other carrier proteins. Furthermore, interpretation of the results is complicated by the rapid metabolism of lysophosphatidylcholine (LPC) in cells and tissues to pro-inflammatory lysophosphatidic acid. Interestingly, most of the recent studies, in contrast to older studies, found lower LPC plasma levels associated with unfavorable disease outcomes. Being the most abundant lysophospholipid in plasma, it is of utmost importance to understand its physiological functions and shed light on the discordant literature connected to its research. LPCs should be recognized as important homeostatic mediators involved in all stages of vascular inflammation. In this review, we want to point out potential pro- and anti-inflammatory activities of lysophospholipids in the vascular system and highlight recent discoveries about the effect of lysophosphatidylcholines on immune cells at the endothelial vascular interface. We will also look at their potential clinical application as biomarkers.
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Affiliation(s)
- Eva Knuplez
- Division of Pharmacology, Otto Loewi Research Center, Medical University of Graz, 8010 Graz, Austria
| | - Gunther Marsche
- Division of Pharmacology, Otto Loewi Research Center, Medical University of Graz, 8010 Graz, Austria
- BioTechMed-Graz, 8010 Graz, Austria
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Metabolomic alternations of follicular fluid of obese women undergoing in-vitro fertilization treatment. Sci Rep 2020; 10:5968. [PMID: 32249791 PMCID: PMC7136245 DOI: 10.1038/s41598-020-62975-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 03/23/2020] [Indexed: 01/11/2023] Open
Abstract
Obesity exerts negative effects on the metabolic homeostasis of cells in various tissues, but how it influences ovum metabolism is not fully understood. Previous studies demonstrate that oocyte genes that regulate oxidative stress, lipid metabolism, and inflammation are highly expressed in obese women. However, the metabolic effects of these genetic variations are not clear. To address this gap, we conducted an exploratory evaluation of follicular fluid (FF) metabolites in underweight, normal-weight, overweight, and obese women undergoing in vitro fertilization (IVF) treatment. The FF samples from the underweight (Group A, n = 40), normal-weight (Group B, n = 40), overweight (Group C, n = 40), and obese women (Group D, n = 40) were analyzed using ultra-performance liquid chromatography high-resolution mass spectrometry. A novel, high-coverage, semi-targeted metabolomics method (SWATH to MRM) and a targeted metabolomics method were employed to identify and verify the differential metabolites between the four groups. Sixteen differentially expressed FF metabolites were identified. Increase of BMI was associated with upregulation of 5 metabolites, ganoderiol H, LPI (18:3), sedoheptulose 1,7-bisphosphate, austalide L and 2 - {[hydroxyl (3-hydroxy-4-methoxyphenylmethylidene] amino} acetic acid, and downregulation of 5 metabolites, 1-phenyl-1,3-elcosanedione, retinol acetate, p-Cresol sulfate, setariol and arachidonyl carnitine. These metabolites were enriched in different metabolic pathways of retinol metabolism and fatty acid metabolism. These obesity-related differential metabolites provide a pathogenesis mechanism that explains the decline of oocyte development during obesity. These results suggest that obesity affects follicular environment prior to pregnancy, a time-window that may be important for lifestyle interventions to decrease obesity levels.
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Jiang B, Xue M, Xu D, Song Y, Zhu S. Upregulation of microRNA-204 improves insulin resistance of polycystic ovarian syndrome via inhibition of HMGB1 and the inactivation of the TLR4/NF-κB pathway. Cell Cycle 2020; 19:697-710. [PMID: 32089069 PMCID: PMC7145337 DOI: 10.1080/15384101.2020.1724601] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 12/02/2019] [Accepted: 12/29/2019] [Indexed: 12/21/2022] Open
Abstract
There is growing evidence of the position of microRNAs (miRs) in polycystic ovarian syndrome (PCOS), thus our objective was to discuss the impact of miR-204 on insulin resistance (IR) in PCOS by targeting highmobility group box protein 1(HMGB1)-mediated toll-like receptor 4(TLR4)/nuclear factor-kappa B (NF-κB) pathway.PCOS-IR patients and PCOS non-insulin resistance (PCOS-NIR) patients were included. The levels of serum sex hormones and related insulin were measured, the expression of miR-204, HMGB1, TLR4 and NF-κB p65 was detected, the diagnostic efficacy of miR-204 in PCOS-IR was analyzed, and the correlation between the expression of miR-204 in PCOS-IR and fasting blood glucose (FPG), fasting insulin (FINS), homeostasis model of assessment for insulin resistance index (HOMA-IR) was analyzed. Both in vitro and in vivo experiments were performed to elucidate the capabilities of miR-204 and HMGB1 in proliferation and apoptosis of PCOS-IR granulosa cells.MiR-204 was lowly expressed as well as HMGB1, TLR4 and NF-κB p65 were highly expressed in PCOS-IR patients. Follicule-stimulating hormone was downregulated, while luteinizing hormone, estrogen, progesterone, FPG, FINS and HOMA-IR were elevated in PCOS-IR. Upregulation of miR-204 and downregulation of HMGB1 could repress TLR4/NF-κB pathway activation, degraded insulin release and testosterone (T) leveland ascended ovarian coefficient, boosted cell proliferation and restrained apoptosis of granulosa cells. Overexpression of HMGB1 reverses the effect of upregulation of miR-204 on IR of PCOS.Our study presents that high expression of miR-204 or inhibition of HMGB1 can improve IR of PCOS via the inactivation of TLR4/NF-κB pathway.
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Affiliation(s)
- Bin Jiang
- Department of Gynaecology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Min Xue
- Department of Gynaecology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Dabao Xu
- Department of Gynaecology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Yujia Song
- Department of Gynaecology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Shujuan Zhu
- Department of Gynaecology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China
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