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Du B, Mu K, Sun M, Yu Z, Li L, Hou L, Wang Q, Sun J, Chen J, Zhang X, Zhang W. Biliary atresia and cholestasis plasma non-targeted metabolomics unravels perturbed metabolic pathways and unveils a diagnostic model for biliary atresia. Sci Rep 2024; 14:15796. [PMID: 38982277 PMCID: PMC11233669 DOI: 10.1038/s41598-024-66893-2] [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: 03/11/2024] [Accepted: 07/05/2024] [Indexed: 07/11/2024] Open
Abstract
The clinical diagnosis of biliary atresia (BA) poses challenges, particularly in distinguishing it from cholestasis (CS). Moreover, the prognosis for BA is unfavorable and there is a dearth of effective non-invasive diagnostic models for detection. Therefore, the aim of this study is to elucidate the metabolic disparities among children with BA, CS, and normal controls (NC) without any hepatic abnormalities through comprehensive metabolomics analysis. Additionally, our objective is to develop an advanced diagnostic model that enables identification of BA. The plasma samples from 90 children with BA, 48 children with CS, and 47 NC without any liver abnormalities children were subjected to metabolomics analysis, revealing significant differences in metabolite profiles among the 3 groups, particularly between BA and CS. A total of 238 differential metabolites were identified in the positive mode, while 89 differential metabolites were detected in the negative mode. Enrichment analysis revealed 10 distinct metabolic pathways that differed, such as lysine degradation, bile acid biosynthesis. A total of 18 biomarkers were identified through biomarker analysis, and in combination with the exploration of 3 additional biomarkers (LysoPC(18:2(9Z,12Z)), PC (22:5(7Z,10Z,13Z,16Z,19Z)/14:0), and Biliverdin-IX-α), a diagnostic model for BA was constructed using logistic regression analysis. The resulting ROC area under the curve was determined to be 0.968. This study presents an innovative and pioneering approach that utilizes metabolomics analysis to develop a diagnostic model for BA, thereby reducing the need for unnecessary invasive examinations and contributing to advancements in diagnosis and prognosis for patients with BA.
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Affiliation(s)
- Bang Du
- Health Commission of Henan Province Key Laboratory for Precision Diagnosis and Treatment of Pediatric Tumor, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China
| | - Kai Mu
- Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China
| | - Meng Sun
- Henan Key Laboratory of Children's Genetics and Metabolic Diseases, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China
| | - Zhidan Yu
- Health Commission of Henan Province Key Laboratory for Precision Diagnosis and Treatment of Pediatric Tumor, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China
| | - Lifeng Li
- Health Commission of Henan Province Key Laboratory for Precision Diagnosis and Treatment of Pediatric Tumor, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China
| | - Ligong Hou
- Henan International Joint Laboratory for Prevention and Treatment of Pediatric Disease, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China
| | - Qionglin Wang
- Henan Key Laboratory of Children's Genetics and Metabolic Diseases, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China
| | - Jushan Sun
- Health Commission of Henan Province Key Laboratory for Precision Diagnosis and Treatment of Pediatric Tumor, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China.
| | - Jinhua Chen
- Department of Pharmacy, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, 450008, China.
| | - Xianwei Zhang
- Health Commission of Henan Province Key Laboratory for Precision Diagnosis and Treatment of Pediatric Tumor, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China.
- Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China.
| | - Wancun Zhang
- Health Commission of Henan Province Key Laboratory for Precision Diagnosis and Treatment of Pediatric Tumor, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China.
- Henan Key Laboratory of Children's Genetics and Metabolic Diseases, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China.
- Henan International Joint Laboratory for Prevention and Treatment of Pediatric Disease, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China.
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Yang W, Hua R, Cao Y, He X. A metabolomic perspective on the mechanisms by which environmental pollutants and lifestyle lead to male infertility. Andrology 2024; 12:719-739. [PMID: 37815095 DOI: 10.1111/andr.13530] [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: 05/10/2023] [Revised: 08/17/2023] [Accepted: 09/03/2023] [Indexed: 10/11/2023]
Abstract
The incidence of male infertility (MI) is rising annually. According to epidemiological studies, environmental pollution (e.g., organic, inorganic, and air pollutants), occupational exposure (e.g., high temperature, organic solvents, and pesticides), and poor lifestyle (e.g., diet, sleep, smoking, alcohol consumption, and exercise) are important non-genetic causative factors of MI. Due to multiple and complex causative factors, the dose-effect relationship, and the uncertainty of pathogenicity, the pathogenesis of MI is far from fully clarified. Recent data show that the pathogenesis of MI can be monitored by the metabolites in serum, seminal plasma, urine, testicular tissue, sperm, and other biological samples. It is considered that these metabolites are closely related to MI phenotypes and can directly reflect the individual pathological and physiological conditions. Therefore, qualitative and quantitative analysis of the metabolome, the related metabolic pathways, and the identification of biomarkers will help to explore the MI-related metabolic problems and provide valuable insights into its pathogenic mechanisms. Here, we summarized new findings in MI metabolomics biomarkers research and their abnormal metabolic pathways triggered by the presented non-genetic risk factors, providing a metabolic landscape of semen and seminal plasma in general MI patients. Then, we compared the similarities and differences in semen and seminal plasma biomarkers between MI patients exposed to environmental and poor lifestyle factors and MI patients in general, and summarized some common biomarkers. We provide a better understanding of the biological underpinnings of MI pathogenesis, which might offer novel diagnostic, prognostic, and precise treatment approaches to MI.
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Affiliation(s)
- Wen Yang
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China
| | - Rong Hua
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China
| | - Yunxia Cao
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China
| | - Xiaojin He
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China
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Victor Oluwaloseyi A, Aduragbemi Noah O, Lydia Oluwatoyin A, Gaffar Y, Moses O, Oyedayo Phillips A, Comfort Onaolapo M, Sylvester Olateju B, Ademola Ayodele A, Mega Obukohwo O, Ayodeji Folorunsho A. Metabolomics of male infertility. Clin Chim Acta 2024; 556:117850. [PMID: 38431200 DOI: 10.1016/j.cca.2024.117850] [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: 12/16/2023] [Revised: 02/26/2024] [Accepted: 02/27/2024] [Indexed: 03/05/2024]
Abstract
This review explores the use of metabolomics in male infertility. Metabolomics, an evolving omics technology that targets the products of cellular metabolism, is valuable for elucidating underlying pathophysiology of many disorders including male infertility. The identification of reliable biomarkers is essential for accurate diagnosis and for developing precision therapeutics for those afflicted by reproductive dysfunction. Unfortunately, despite significant progress to date, the intricate relationships between these metabolic pathways and male infertility remain elusive. It is clear, however, that additional research is required to more fully characterize the role of metabolomics in this disorder and in the potential development of targeted therapies for precision medicine.
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Affiliation(s)
- Amos Victor Oluwaloseyi
- Department of Physiology, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria; Anchor Biomed Research Institute, Ogbomoso, Oyo State, Nigeria
| | - Odeyemi Aduragbemi Noah
- Department of Physiology, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria
| | - Ajayi Lydia Oluwatoyin
- Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria
| | - Yusuff Gaffar
- Department of Physiology, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria
| | - Olotu Moses
- Department of Physiology, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria
| | | | - Moyinoluwa Comfort Onaolapo
- Department of Physiology, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria; Anchor Biomed Research Institute, Ogbomoso, Oyo State, Nigeria
| | | | - Adelakun Ademola Ayodele
- Department of Medical Laboratory Sciences, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria
| | | | - Ajayi Ayodeji Folorunsho
- Department of Physiology, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria; Anchor Biomed Research Institute, Ogbomoso, Oyo State, Nigeria; Department of Physiology, Adeleke University, Ede, Osun State, Nigeria.
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Lira Neto FT, Roque M, Esteves SC. Effect of varicocele and varicocelectomy on sperm deoxyribonucleic acid fragmentation rates in infertile men with clinical varicocele. Minerva Obstet Gynecol 2024; 76:49-69. [PMID: 36222786 DOI: 10.23736/s2724-606x.22.05169-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Varicocele is the leading cause of male infertility. It can affect sperm quantity and quality through various non-mutually exclusive pathophysiological mechanisms, mainly oxidative stress. Excessive production of reactive oxygen species may overwhelm the sperm's defenses against oxidative stress and harm the sperm's DNA. Excessive sperm DNA breaks, so-called sperm DNA fragmentation, result from the oxidative stress cascade and are commonly found in the ejaculates of men with varicocele and fertility-related issues. Measuring sperm DNA fragmentation can provide valuable information on the extent of harm and might help select candidates for surgical treatment. Varicocelectomy is beneficial for alleviating oxidative stress-associated infertility and improving sperm DNA integrity. However, reproductive outcomes of infertile men with elevated sperm DNA fragmentation rates and surgically treated varicoceles remain poorly studied, and there is a need for well-designed trials to determine the impact of sperm DNA fragmentation reduction on natural and medically assisted reproduction.
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Affiliation(s)
- Filipe T Lira Neto
- AndrosRecife, Andrology Clinic, Recife, Brazil
- Department of Urology, Prof. Fernando Figueira Institute of Integrative Medicine, Recife, Brazil
| | - Matheus Roque
- Department of Reproductive Medicine, Mater Prime, São Paulo, Brazil
| | - Sandro C Esteves
- ANDROFERT, Andrology and Human Reproduction Clinic, Referral Center for Male Reproduction, Campinas, Brazil -
- Division of Urology, Department of Surgery, University of Campinas (UNICAMP), Campinas, Brazil
- Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark
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Zhang Y, Shi W, Zhang M, Xu L, Wu L, Li C, Zhang Z, Cao W, Zhang J, Zeng Q, Sun S. Exposure to PM 2.5, seminal plasma metabolome, and semen quality among Chinese adult men: Association and potential mediation analyses. JOURNAL OF HAZARDOUS MATERIALS 2024; 461:132602. [PMID: 37748305 DOI: 10.1016/j.jhazmat.2023.132602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 09/17/2023] [Accepted: 09/20/2023] [Indexed: 09/27/2023]
Abstract
Exposure to ambient fine particulate matter (PM2.5) has been linked to a decline in semen quality, but the underlying mechanisms for this association remain unclear. We aimed to examine whether specific metabolites act as mediators in the association between PM2.5 exposure and changes in semen quality. We conducted untargeted metabolomics analysis using LC-MS/MS platforms to identified seminal plasma metabolites associated with various semen quality parameters among 200 Chinese adult men. Additionally, we performed mediation analyses to examine the effects of the seminal plasma metabolites on the association between PM2.5 exposure and semen quality. We identified 140 differential metabolites between the normal and abnormal semen groups, involving two metabolic pathways: Alanine, aspartate and glutamate metabolism, and Aminoacyl-tRNA biosynthesis. We additionally identified 7 specific seminal plasma metabolites that were associated with discrepant metabolic networks related to semen quality. The mediation analysis revealed that D-Aspartate might play a mediating role in the adverse effects of ambient PM2.5 exposure on both total and progressive motility during spermatogenesis period (70-90 days before ejaculation), with a proportion of mediation up to 16% and 17%, respectively. Exposure to PM2.5 was associated with alterations in D-Aspartate levels, which might partially mediate the association between PM2.5 and reduced sperm motility.
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Affiliation(s)
- Yangchang Zhang
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Wanying Shi
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Min Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Lufei Xu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Human Resources, Peking University Cancer Hospital & Institute, China
| | - Lizhi Wu
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Bin Sheng Road Binjiang District, Hangzhou 310051, China
| | - Chunrong Li
- Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Zhenyu Zhang
- Department of Global Health, Peking University School of Public Health, Beijing, China; Institute for Global Health and Development, Peking University, Beijing 100191, China
| | - Wangnan Cao
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing 100191, China
| | - Jie Zhang
- School of Public Health, Xiamen University, Xiamen, China
| | - Qiang Zeng
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Shengzhi Sun
- School of Public Health, Capital Medical University, Beijing 100069, China; School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China.
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Oliveira MF, de Albuquerque Neto MC, Leite TS, Alves PAA, Lima SVC, Silva RO. Performance evaluate of different chemometrics formalisms used for prostate cancer diagnosis by NMR-based metabolomics. Metabolomics 2023; 20:8. [PMID: 38127222 DOI: 10.1007/s11306-023-02067-x] [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: 06/25/2023] [Accepted: 11/16/2023] [Indexed: 12/23/2023]
Abstract
INTRODUCTION In general, two characteristics are ever present in NMR-based metabolomics studies: (1) they are assays aiming to classify the samples in different groups, and (2) the number of samples is smaller than the feature (chemical shift) number. It is also common to observe imbalanced datasets due to the sampling method and/or inclusion criteria. These situations can cause overfitting. However, appropriate feature selection and classification methods can be useful to solve this issue. OBJECTIVES Investigate the performance of metabolomics models built from the association between feature selectors, the absence of feature selection, and classification algorithms, as well as use the best performance model as an NMR-based metabolomic method for prostate cancer diagnosis. METHODS We evaluated the performance of NMR-based metabolomics models for prostate cancer diagnosis using seven feature selectors and five classification formalisms. We also obtained metabolomics models without feature selection. In this study, thirty-eight volunteers with a positive diagnosis of prostate cancer and twenty-three healthy volunteers were enrolled. RESULTS Thirty-eight models obtained were evaluated using AUROC, accuracy, sensitivity, specificity, and kappa's index values. The best result was obtained when Genetic Algorithm was used with Linear Discriminant Analysis with 0.92 sensitivity, 0.83 specificity, and 0.88 accuracy. CONCLUSION The results show that the pick of a proper feature selection method and classification model, and a resampling method can avoid overfitting in a small metabolomic dataset. Furthermore, this approach would decrease the number of biopsies and optimize patient follow-up. 1H NMR-based metabolomics promises to be a non-invasive tool in prostate cancer diagnosis.
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Affiliation(s)
- Márcio Felipe Oliveira
- Metabonomics and Chemometrics Laboratory, Fundamental Chemistry Department, Universidade Federal de Pernambuco, Av. Jornalista Anibal Fernandes, s/n, Cidade Universitária, Recife, Pernambuco, Brazil.
- Fundamental Chemistry Department, Universidade Federal de Pernambuco, Av. Jornalista Anibal Fernandes, s/n, Cidade Universitária, Recife, Pernambuco, Brazil.
| | - Moacir Cavalcante de Albuquerque Neto
- Surgery Department, Clinics Hospital, Urology Clinic, Universidade Federal de Pernambuco, Av. Professor Luis Freire, s/n. Cidade Universitária, Recife, Pernambuco, Brazil
| | - Thiago Siqueira Leite
- Surgery Department, Clinics Hospital, Urology Clinic, Universidade Federal de Pernambuco, Av. Professor Luis Freire, s/n. Cidade Universitária, Recife, Pernambuco, Brazil
| | - Paulo André Araújo Alves
- Surgery Department, Clinics Hospital, Urology Clinic, Universidade Federal de Pernambuco, Av. Professor Luis Freire, s/n. Cidade Universitária, Recife, Pernambuco, Brazil
| | - Salvador Vilar Correia Lima
- Surgery Department, Clinics Hospital, Urology Clinic, Universidade Federal de Pernambuco, Av. Professor Luis Freire, s/n. Cidade Universitária, Recife, Pernambuco, Brazil
| | - Ricardo Oliveira Silva
- Metabonomics and Chemometrics Laboratory, Fundamental Chemistry Department, Universidade Federal de Pernambuco, Av. Jornalista Anibal Fernandes, s/n, Cidade Universitária, Recife, Pernambuco, Brazil
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Hou Y, He Y, Wang J, Zhou Y, Ma B, Li X, Shi L, Zhang Q. Comprehensive metabolomics profiling of seminal plasma in asthenozoospermia caused by different etiologies. Clin Chim Acta 2023; 548:117530. [PMID: 37652159 DOI: 10.1016/j.cca.2023.117530] [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: 06/20/2023] [Revised: 08/22/2023] [Accepted: 08/26/2023] [Indexed: 09/02/2023]
Abstract
BACKGROUND Asthenozoospermia (AZS) is a disease characterized by decreased sperm motility induced by multiple etiologies, and the pathological mechanisms of various AZS are unclear. We simultaneously analyzed the metabolic profiling of four representative AZS to provide new insights into the etiologies of AZS. METHOD Seminal plasma samples were collected from healthy control (HC; n = 30) and four AZS induced by varicocele (VA, n = 30), obesity (OA, n = 22), reproductive system infections (RA; n = 17) and idiopathic (IA, n = 30), respectively, and were analyzed using gas chromatography-mass spectrometry. Disturbed metabolites and metabolic pathways were compared between AZS and HC, as well as IA and the other three AZS. RESULTS A total of 40 different metabolites were identified in the seminal plasma of AZS and HC, of which lactic acid, fructose, citric acid, glutamine and pyruvic acid metabolic abnormalities associated with all the AZS groups, while each AZS group had unique metabolic changes. RA was significantly separated from the other three AZS, and metabolites such as cholesterol, octadecanoic acid and serine mainly contributed to the separation. CONCLUSION The comprehensive metabolomic analysis and comparison of four various AZS provided evidence and clues for the mechanism mining, which will benefit future etiology, diagnosis and treatment of AZS.
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Affiliation(s)
- Yuyang Hou
- College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, People's Republic of China
| | - Yuanping He
- School of Economics & Management, Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, People's Republic of China
| | - Jingjie Wang
- School of Pharmaceutical Sciences, Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, People's Republic of China
| | - Yanfen Zhou
- College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, People's Republic of China
| | - Bo Ma
- School of Pharmaceutical Sciences, Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, People's Republic of China
| | - Xin Li
- School of Pharmaceutical Sciences, Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, People's Republic of China
| | - Liang Shi
- Department of Urology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, People's Republic of China.
| | - Qi Zhang
- College of Food Science and Light Industry, Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, People's Republic of China.
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Kang C, Bertolla R, Pagani R. The '-ics' of male reproduction: genomics, epigenetics, proteomics, metabolomics, and microbiomics. Curr Opin Urol 2023; 33:31-38. [PMID: 36210759 DOI: 10.1097/mou.0000000000001052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW To review the most current findings, from the past 2 years, in various '-ics' fields in male infertility, with a specific focus on nonobstructive azoospermia, the most severe form, and varicocele, the most common correctable cause of male infertility. RECENT FINDINGS Recent studies confirm previously identified causes and identify previously unknown genetic mutations as causes for nonobstructive azoospermia and varicocele. SUMMARY Infertility is a common problem for couples with approximately half of cases attributable to male factor infertility. Although advances in assisted reproductive technology have permitted many more men with infertility to father biological children, the majority of infertile men continue to have unknown causes. The recent explosion of the '-ics' fields, including genomics, epigenetics, proteomics, metabolomics, and microbiomics, has shed light on previously unknown causes for various diseases. New information in these fields will not only shed light on the pathogenesis of these conditions but also may shift the paradigm in clinical testing that may allow clinicians to provide more precise counseling and prognostic information for men with infertility.
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Affiliation(s)
- Caroline Kang
- Department of Urology, Atrium Health Carolinas Medical Center, Charlotte, North Carolina, USA
| | - Ricardo Bertolla
- Division of Urology, Department of Surgery, Universidade Federal de São Paulo, São Paulo, Brazil
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Blaurock J, Baumann S, Grunewald S, Schiller J, Engel KM. Metabolomics of Human Semen: A Review of Different Analytical Methods to Unravel Biomarkers for Male Fertility Disorders. Int J Mol Sci 2022; 23:ijms23169031. [PMID: 36012302 PMCID: PMC9409482 DOI: 10.3390/ijms23169031] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 08/10/2022] [Accepted: 08/11/2022] [Indexed: 12/01/2022] Open
Abstract
Background: Human life without sperm is not possible. Therefore, it is alarming that the fertilizing ability of human spermatozoa is continuously decreasing. The reasons for that are widely unknown, but there is hope that metabolomics-based investigations may be able to contribute to overcoming this problem. This review summarizes the attempts made so far. Methods: We will discuss liquid chromatography–mass spectrometry (LC-MS), gas chromatography (GC), infrared (IR) and Raman as well as nuclear magnetic resonance (NMR) spectroscopy. Almost all available studies apply one of these methods. Results: Depending on the methodology used, different compounds can be detected, which is (in combination with sophisticated methods of bioinformatics) helpful to estimate the state of the sperm. Often, but not in all cases, there is a correlation with clinical parameters such as the sperm mobility. Conclusions: LC-MS detects the highest number of metabolites and can be considered as the method of choice. Unfortunately, the reproducibility of some studies is poor, and, thus, further improvements of the study designs are needed to overcome this problem. Additionally, a stronger focus on the biochemical consequences of the altered metabolite concentrations is also required.
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Affiliation(s)
- Janet Blaurock
- Training Center of the European Academy of Andrology (EAA), Dermatology, Venerology and Allergology Clinic, University Hospital Leipzig, 04103 Leipzig, Germany
| | - Sven Baumann
- Faculty of Medicine, Institute of Legal Medicine, Leipzig University, 04103 Leipzig, Germany
| | - Sonja Grunewald
- Training Center of the European Academy of Andrology (EAA), Dermatology, Venerology and Allergology Clinic, University Hospital Leipzig, 04103 Leipzig, Germany
| | - Jürgen Schiller
- Faculty of Medicine, Institute for Medical Physics and Biophysics, Leipzig University, 04107 Leipzig, Germany
| | - Kathrin M. Engel
- Training Center of the European Academy of Andrology (EAA), Dermatology, Venerology and Allergology Clinic, University Hospital Leipzig, 04103 Leipzig, Germany
- Faculty of Medicine, Institute for Medical Physics and Biophysics, Leipzig University, 04107 Leipzig, Germany
- Correspondence:
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Effects of varicocele and microsurgical varicocelectomy on the metabolites in semen. Sci Rep 2022; 12:5179. [PMID: 35338186 PMCID: PMC8956711 DOI: 10.1038/s41598-022-08954-y] [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: 06/27/2021] [Accepted: 03/14/2022] [Indexed: 11/19/2022] Open
Abstract
The influence of varicocele and microsurgical varicocelectomy on semen quality remains unclear. Few studies have investigated the relationship between semen metabolism and the abnormalities in reproductive function caused by varicocele, however, there is no study on the changes of semen metabolism after microsurgical varicocelectomy. Here, we used the non-targeted and targeted metabolic analysis to investigate the different metabolites in seminal plasma within normal, varicocele, and varicocelectomy groups. We clearly showed that varicocele significantly affects semen metabolism, and microsurgical varicocelectomy can reverse this metabolic abnormality. Moreover, we characterized the landscape of three dipeptides in the seminal plasma of patients with varicocele that have not been identified previously in human tissues or biofluids. Interestingly, the levels of these three dipeptides decreased after microsurgical varicocelectomy coincident with an improvement in semen quality. Western blotting confirmed the downregulation of DPEP3 (dipeptidase 3) in the varicocele group and the upregulation of DPEP3 in the varicocelectomy group. Furthermore, we found that eight metabolites may be helpful to distinguish varicocele patients from normal subjects. Our results may be applied to earlier diagnosis or to predict the outcome of microsurgery for varicocele.
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11
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Salmerón AM, Tristán AI, Abreu AC, Fernández I. Serum Colorectal Cancer Biomarkers Unraveled by NMR Metabolomics: Past, Present, and Future. Anal Chem 2022; 94:417-430. [PMID: 34806875 PMCID: PMC8756394 DOI: 10.1021/acs.analchem.1c04360] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Ana M. Salmerón
- Department of Chemistry and
Physics, Research Centre CIAIMBITAL, University
of Almería, Ctra. Sacramento, s/n, 04120 Almería, Spain
| | - Ana I. Tristán
- Department of Chemistry and
Physics, Research Centre CIAIMBITAL, University
of Almería, Ctra. Sacramento, s/n, 04120 Almería, Spain
| | - Ana C. Abreu
- Department of Chemistry and
Physics, Research Centre CIAIMBITAL, University
of Almería, Ctra. Sacramento, s/n, 04120 Almería, Spain
| | - Ignacio Fernández
- Department of Chemistry and
Physics, Research Centre CIAIMBITAL, University
of Almería, Ctra. Sacramento, s/n, 04120 Almería, Spain
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Xue W, Zhang H, Liu M, Chen X, He S, Chu Y. Metabolomics-based screening analysis of PPCPs in water pretreated with five different SPE columns. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:4594-4603. [PMID: 34580678 DOI: 10.1039/d1ay01313k] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The selection of solid phase extraction (SPE) columns in the pretreatment process plays a decisive role in the screening and quantification of pharmaceutical and personal care products (PPCPs). As growing PPCPs have frequently been detected in the aquatic environment, it is a burdensome task through one-by-one recovery comparison to judge which column presents relatively ideal pretreatment results for PPCPs. In view of this, we developed a novel metabolomics-based screening method based on ultrahigh-performance liquid chromatography-tandem mass spectrometer (UHPLC-MS/MS) results to accurately, rapidly and comprehensively choose a suitable column from 5 different kinds to handle 64 PPCPs in two water environments (50 μg L-1/pH ≅ 7.0/pure water and 1 μg L-1/pH ≅ 7.0/reservoir water) through seeking 'biomarkers', for which multivariate and univariate analyses were adopted. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) play a crucial role in multivariate analysis, and the pairwise t-test and fold change judgement in univariate analysis. Each column group was fully separated from the other 4 groups in PCA and OPLS-DA plots, laying a foundation to distinguish 'biomarkers' between groups. The S-Plot, permutation and variable importance in projection (VIP) in OPLS-DA were employed to screen and identify 'biomarkers', which were further verified by a pairwise t-test and fold change judgement. Eventually, the 64 PPCPs as 'biomarkers' were divided into 5 groups, which correspond to 5 column groups, consistent with the findings of traditional PPCP recovery comparison, proving the validity of the metabolomics-based screening method. This novel method will exhibit greater superiority in choosing suitable SPE columns to handle a growing and larger number of PPCPs in water environments and beyond.
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Affiliation(s)
- Weifeng Xue
- Technical Center of Dalian Customs, Dalian 116000, China.
| | - Haiqin Zhang
- School of Environmental Science and Engineering, Liaoning Technical University, Fuxin 123000, China
| | - Mengyao Liu
- Technical Center of Dalian Customs, Dalian 116000, China.
| | - Xi Chen
- Technical Center of Dalian Customs, Dalian 116000, China.
| | - Shuwen He
- Technical Center of Dalian Customs, Dalian 116000, China.
| | - Yingqian Chu
- Technical Center of Dalian Customs, Dalian 116000, China.
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Wang M, Xu J, Yang N, Zhang T, Zhu H, Wang J. Insight Into the Metabolomic Characteristics of Post-Transplant Diabetes Mellitus by the Integrated LC-MS and GC-MS Approach- Preliminary Study. Front Endocrinol (Lausanne) 2021; 12:807318. [PMID: 35116008 PMCID: PMC8805207 DOI: 10.3389/fendo.2021.807318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 12/29/2021] [Indexed: 11/16/2022] Open
Abstract
Post-transplantation diabetes mellitus (PTDM) is a common metabolic complication after solid organ transplantation, which not only results in elevated microvascular morbidity, but also seriously impacts graft function and recipient survival. However, its underlying mechanism is not yet fully understood. In this study, an integrated liquid chromatography- mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS) based-metabolomics approach was adopted to dissect the metabolic fluctuations and deduce potential mechanism associated with PTDM. 68 adult liver transplant recipients were recruited and classified as 32 PTDM and 36 non-PTDM subjects. PTDM group and non-PTDM group were well matched in gender, age, BMI, family history of diabetes, alcohol drinking history, ICU length of stay and hepatitis B infection. Peripheral blood samples from these recipients were collected and prepared for instrument analysis. Data acquired from LC-MS and GC-MS demonstrated significant metabolome alterations between PTDM and non-PTDM subjects. A total of 30 differential metabolites (15 from LC-MS, 15 from GC-MS) were screened out. PTDM patients, compared with non-PTDM subjects, were characterized with increased levels of L-leucine, L-phenylalanine, LysoPE (16:0), LysoPE (18:0), LysoPC (18:0), taurocholic acid, glycocholic acid, taurochenodeoxycholic acid, tauroursodeoxycholic acid, glycochenodeoxycholic acid, glycoursodeoxycholic acid, etc, and with decreased levels of LysoPC (16:1), LysoPC (18:2), LysoPE (22:6), LysoPC (20:4), etc. Taken collectively, this study demonstrated altered metabolites in patients with PTDM, which would provide support for enhancing mechanism exploration, prediction and treatment of PTDM.
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Affiliation(s)
- Min Wang
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Jie Xu
- Physical and Chemical Department, Nanjing Center for Disease Control and Prevention, Nanjing, China
| | - Na Yang
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Tianqi Zhang
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Huaijun Zhu
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
- *Correspondence: Huaijun Zhu, ; Jing Wang,
| | - Jing Wang
- College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
- *Correspondence: Huaijun Zhu, ; Jing Wang,
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Al Rashid K, Taylor A, Lumsden MA, Goulding N, Lawlor DA, Nelson SM. Association of the serum metabolomic profile by nuclear magnetic resonance spectroscopy with sperm parameters: a cross-sectional study of 325 men. F&S SCIENCE 2020; 1:142-160. [PMID: 35559925 DOI: 10.1016/j.xfss.2020.10.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 10/08/2020] [Accepted: 10/08/2020] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To determine whether 155 circulating metabolic measures relevant to lifestyle and metabolic health are associated with sperm parameters, as measured by concentration, motility, and total motile sperm count (TMSC). STUDY DESIGN Cross sectional. SETTING University hospital. PATIENT(S) Three hundred twenty-five men prospectively recruited between April 1, 2017 and March 31, 2019. INTERVENTION(S) Detailed demographic, lifestyle, fertility, medical history, and semen analysis with quantification of nonfasting serum lipids, lipoprotein subclasses, and low-molecular weight metabolites (including amino acids, glycolysis, and inflammatory markers) by nuclear magnetic resonance (NMR) spectroscopy. MAIN OUTCOME MEASURE(S) Association of serum metabolic profiles with sperm parameters. RESULT(S) The age of the participants was mean 37.2 years, with a median sperm concentration of 35 million/mL and median motility of 53%. Of these men, 76% had a TMSC >15 million, 10% had 5-15 million, and 14% had <5 million. In both univariate and confounder adjusted analyses, an extensive range of lipids and lipoproteins, glycolysis-related metabolites, amino acids, ketone bodies, creatinine, or albumin showed no strong statistically significant association with sperm concentration, motility, or the odds of having a reduced or low TMSC. Higher levels of glycolysis metabolites and ketone bodies were associated with an increased odds of TMSC <15 million compared with ≥15 million (odds ratios of ∼1.2-1.3), and several lipids/lipoprotein concentrations appeared to protect against very low TMSC (<5 million compared with ≥5 million) with odds ratios of ∼0.8 or greater. CONCLUSION(S) Several metabolites exhibited potentially clinically relevant strength of association with the odds of a low TMSC and warrant replication.
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Affiliation(s)
- Karema Al Rashid
- School of Medicine, Dentistry & Nursing, University of Glasgow, Glasgow, United Kingdom
| | - Amy Taylor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom; National Institute for Health Research Bristol Biomedical Research Centre, Bristol, United Kingdom
| | - Mary Ann Lumsden
- School of Medicine, Dentistry & Nursing, University of Glasgow, Glasgow, United Kingdom
| | - Neil Goulding
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom; National Institute for Health Research Bristol Biomedical Research Centre, Bristol, United Kingdom
| | - Scott M Nelson
- School of Medicine, Dentistry & Nursing, University of Glasgow, Glasgow, United Kingdom; National Institute for Health Research Bristol Biomedical Research Centre, Bristol, United Kingdom.
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