1. 1H NMR-based metabonomics for infertility diagnosis in men with varicocele
- Author
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Ricardo O. Silva, Ronmilson Alves Marques, Salvador Vilar Correia Lima, Filipe Tenorio Lira Neto, Leslie Clifford Noronha Araujo, Licarion Pinto, and Alexandre de Freitas Cavalcanti Filho
- Subjects
Adult ,Male ,0301 basic medicine ,Infertility ,Duplex ultrasonography ,medicine.medical_specialty ,Proton Magnetic Resonance Spectroscopy ,Varicocele ,Urology ,Semen ,Semen analysis ,Male infertility ,03 medical and health sciences ,0302 clinical medicine ,Genetics ,Humans ,Metabolomics ,Medicine ,Infertility, Male ,Genetics (clinical) ,Level measurement ,030219 obstetrics & reproductive medicine ,medicine.diagnostic_test ,business.industry ,Obstetrics and Gynecology ,General Medicine ,Omics ,medicine.disease ,Semen Analysis ,Oxidative Stress ,Reproductive Physiology and Disease ,030104 developmental biology ,Reproductive Medicine ,Reactive Oxygen Species ,business ,Developmental Biology - Abstract
PURPOSE: “Omics” techniques have been used to understand and to identify biomarkers of male infertility. We report on the first metabonomics models created to diagnose varicocele and infertility among men with varicocele. METHODS: We recruited 35 infertile men with varicocele (VI group), 21 fertile men with varicocele (VF group) and 24 fertile men without varicocele (C group). All men underwent standard semen analysis, scrotal duplex ultrasonography, and sexual hormone level measurement. Hydrogen-1 nuclear magnetic resonance ((1)H NMR) spectra of seminal plasma were used to create metabonomics models to discriminate between men with and without varicocele, and between fertile and infertile men with varicocele. RESULTS: Using the statistical formalisms partial least square discriminants analysis and genetic algorithm–based linear discriminant analysis (GA-LDA), we created two models that discriminated the three groups from each other with accuracy of 92.17%. We also created metabonomics models using orthogonal partial least square discriminants analysis and GA-LDA that discriminated VF group from VI group, with an accuracy of 94.64% and 100% respectively. We identified 19 metabolites that were important in group segregation: caprate, 2-hydroxy-3-methylvalerate, leucine, valine, 3-hydroxybutyrate, lactate, alanine, 4-aminobutyrate, isoleucine, citrate, methanol, glucose, glycosides, glycerol-3-phosphocoline, n-acetyltyrosine, glutamine, tyrosine, arginine, and uridine. CONCLUSIONS: (1)HNMR-based metabonomics of seminal plasma can be used to create metabonomics models to discriminate between men with varicocele from those without varicocele, and between fertile men with varicocele from those infertile with varicocele. Furthermore, the most important metabolites for group segregation are involved in the oxidative stress caused by varicocele.
- Published
- 2020
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