Evidence map›Paper›PMID 42240752›Full record

ArticleJournal of endocrinological investigation2026

Diagnostic classification and medical decision of idiopathic asthenozoospermia based on metabolomics analysis of seminal plasma.

Chi Zhang, Xue Zhou, LaiQing Zhu, Liang Shi

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Article in Journal of endocrinological investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Chi ZhangSchool of International Pharmaceutical Business, China Pharmaceutical University, 639 Longmian Road, Nanjing, 211198, China.
Xue ZhouDepartment of Andrology, Nanjing Drum Tower Hospital Affiliated to Medical School of Nanjing University, #321 Zhongshan Road, Nanjing, 210008, Jiangsu, China.
LaiQing ZhuDepartment of Andrology, Nanjing Drum Tower Hospital Affiliated to Medical School of Nanjing University, #321 Zhongshan Road, Nanjing, 210008, Jiangsu, China.
Liang ShiDepartment of Andrology, Nanjing Drum Tower Hospital Affiliated to Medical School of Nanjing University, #321 Zhongshan Road, Nanjing, 210008, Jiangsu, China. zch198028@163.com.ORCID http://orcid.org/0009-0007-4403-1852

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdiopathic asthenozoospermia(IA) is diagnosed when decreased or absent sperm motility is observed without an identifiable cause through standard clinical evaluations. So far, there have been no reports on the metabolomic classification of IA.

methodsSeminal plasma metabolites were profiled using gas chromatography-mass spectrometry (GC-MS) in 52 healthy controls and 50 patients with IA. Non-negative matrix factorization (NMF) was applied to 62 identified metabolites to classify IA cases into metabolic subtypes, followed by multivariate analyses to characterize the metabolic dysregulation patterns across clusters.

resultsNMF identified three distinct IA subtypes with progressively dysregulated metabolic profiles. Eight core metabolites, including citric acid and cholesterol, were consistently altered across all clusters, suggesting shared pathophysiological mechanisms. Cluster 1 showed 10 unique differential metabolites, particularly reduced inositol levels. Cluster 2 was characterized by significantly higher glucose levels compared with other asthenozoospermia cases. Cluster 3 displayed markedly elevated pyruvate levels as a key metabolic feature.

conclusionThis study provides the first NMF-based metabolomic classification of IA, revealing heterogeneous metabolic signatures among patients. These findings may support refined diagnostic classification and more rational clinical drug use for IA.

Indexed as

AsthenozoospermiaBiomarkersMetabolomeMetabolomicsSemenAdultCase-Control StudiesGas Chromatography-Mass SpectrometryHumansMaleSperm MotilityBiomarkersGas chromatography-mass spectrometryIdiopathic asthenozoospermiaMetabolomicsNonnegative matrix factorizationSeminal plasma

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.