{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T14:53:07Z","timestamp":1792853587424,"version":"4.5.0"},"reference-count":45,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2019,9,26]],"date-time":"2019-09-26T00:00:00Z","timestamp":1569456000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Andrology"],"published-print":{"date-parts":[[2020,3]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Male infertility is a global health issue caused by a combination of different factors. Specialists generally rely on semen analysis to diagnose male infertility. However, it is known that diagnostic semen analysis fails to identify about 50% of male infertility disorders. Recently, metabolomics has been proven to be a powerful technique for the diagnosis of different diseases.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objective<\/jats:title><jats:p>To determine whether metabolites could be used as potential biomarkers for the diagnosis of male factor infertility through comparing seminal plasma samples from infertile men with oligoasthenoteratozospermia (<jats:styled-content style=\"fixed-case\">OAT<\/jats:styled-content>) and samples from normozoospermic controls.<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and methods<\/jats:title><jats:p>This study utilized high\u2010resolution <jats:sup>1<\/jats:sup>H <jats:styled-content style=\"fixed-case\">NMR<\/jats:styled-content> spectroscopy to reveal whether the metabolomic changes of seminal plasma obtained from 31 patients with oligoasthenoteratozospermia (<jats:styled-content style=\"fixed-case\">OAT<\/jats:styled-content>) are different from the ones obtained from 28 normozoospermic controls.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Multivariate statistical analysis of <jats:styled-content style=\"fixed-case\">NMR<\/jats:styled-content> data concluded that the metabolomic profile of samples from patients with <jats:styled-content style=\"fixed-case\">OAT<\/jats:styled-content> exhibits statistically significant differences when compared to the controls. The differences were based on the metabolites lactate, citrate, lysine, arginine, valine, glutamine, creatinine, \u03b1\u2010ketoglutaric acid, spermine, putrescine, and tyrosine. Except the tyrosine, levels of the above metabolites were significantly decreased in patients with <jats:styled-content style=\"fixed-case\">OAT<\/jats:styled-content> compared to the controls. The levels of citrate, choline, spermine, putrescine, \u03b1\u2010ketoglutaric acid, valine, and tyrosine were significantly different (<jats:italic>p\u00a0<\/jats:italic>&lt;<jats:italic>\u00a0<\/jats:italic>5\u00a0\u00d7\u00a010<jats:sup>\u22124<\/jats:sup>) between two groups. On the other hand, levels of lactate, creatinine, lysine, arginine, and glutamine were also statistically significant (0.001\u00a0&lt;\u00a0<jats:italic>p\u00a0<\/jats:italic>&lt;<jats:italic>\u00a0<\/jats:italic>0.05). However, considering the <jats:italic>p<\/jats:italic>\u2010values, the physiological relevance of these metabolites may be lower when compared to the others. A <jats:styled-content style=\"fixed-case\">PLS<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">DA<\/jats:styled-content> model built on the <jats:styled-content style=\"fixed-case\">NMR<\/jats:styled-content> data achieved 89.29% sensitivity and 93.55% specificity results in a leave\u2010one\u2010out cross\u2010validation process.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion and conclusion<\/jats:title><jats:p><jats:sup>1<\/jats:sup>H <jats:styled-content style=\"fixed-case\">NMR<\/jats:styled-content> spectroscopy\u2010based metabolomic analysis could be used as a diagnostic tool for the diagnosis of oligoasthenoteratozospermia.<\/jats:p><\/jats:sec>","DOI":"10.1111\/andr.12707","type":"journal-article","created":{"date-parts":[[2019,9,14]],"date-time":"2019-09-14T10:53:26Z","timestamp":1568458406000},"page":"450-456","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":59,"title":["Metabolomics analysis of seminal plasma in patients with idiopathic Oligoasthenoteratozoospermia using high\u2010resolution <scp>NMR<\/scp> spectroscopy"],"prefix":"10.1111","volume":"8","author":[{"given":"A.","family":"Mumcu","sequence":"first","affiliation":[{"name":"Laboratory of NMR Scientific and Technological Research Center Inonu University Malatya Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2010-6211","authenticated-orcid":false,"given":"A.","family":"Karaer","sequence":"additional","affiliation":[{"name":"Division of Reproductive Endocrinology and Infertility Department of Obstetrics and Gynecology School of Medicine Inonu University Malatya Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"B.","family":"Dogan","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering School of Engineering Inonu University Malatya Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G.","family":"Tuncay","sequence":"additional","affiliation":[{"name":"Division of Reproductive Endocrinology and Infertility Department of Obstetrics and Gynecology School of Medicine Inonu University Malatya 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