Evidence map›Paper›PMID 40263245›Full record

ArticleJournal of assisted reproduction and genetics2025

Dissecting the genetic association between abnormal sperm parameters and depression: a transcriptome-wide analysis of 157 participants.

Yinwei Chen, Taotao Sun, Penghui Yuan, Chang Liu

Abstract read
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Article in Journal of assisted reproduction and genetics, 2025. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yinwei ChenReproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Taotao SunDepartment of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Penghui YuanDepartment of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China. yuanph2018@126.com.
Chang LiuDepartment of Obstetrics and Gynecology, Centre for Reproductive Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China. lichi608@163.com.ORCID http://orcid.org/0000-0002-6475-5619

Funding

National Natural Science Foundation of China 82201758National Natural Science Foundation of China 82201775National Natural Science Foundation of China 82201811
6 · The paper itself

Abstract

purposeDepression often occurs in the males with semen abnormalities. Evidence suggested a genetic correlation between depression and the pathogenesis of abnormal sperm parameters, whereas the mechanisms remained unclear.

methodsGenomic datasets of major depressive disorder (MDD) and abnormal sperm parameters were obtained from the Gene Expression Omnibus database. After screening the datasets, differentially expressed genes (DEGs) were identified. GO and pathway enrichment analyses, a protein-protein interaction network, and receiver operator characteristic curve analysis were conducted. Then, MDD-related DEGs (MDRGs), the external validation, immunological, and translational regulation analysis were performed. Moreover, tissue expression of MDRGs was explored.

resultsA total of 249 overlapped MDRGs were discovered in the MDD and abnormal sperm parameters gene sets. MDRGs had a tight relationship with adhesion-associated and PI3 K-Akt-associated biological signaling. The protein-protein interaction module showed the enriched pathways involved in neuron differentiation and cell adhesion. Drug prediction revealed ten pharmacologic candidates. Finally, two hub MDRGs were identified and validated with good diagnostic values. Immunological and translational results showed three closely correlated kinds of CD8 + T lymphocytes, neutrophils, and macrophages, 19 transcription factor-MDRGs, and 71 miRNA-MDRGs interactions. Furthermore, expression signatures of Carnosine Dipeptidase 2 (CNDP2) and Galectin 3 Binding Protein (LGALS3BP) were displayed in cortex and testis.

conclusionOur study discovered the genetic profiles in abnormal sperm parameters and MDD and elucidated enriched pathways and molecular associations between hub genes and immune infiltration. These findings provide novel insights into the common pathogenesis of both diseases as well as the potential biomarkers for MDD-associated abnormal sperm parameters.

Indexed as

Major Depressive DisorderSpermatozoaTranscriptomeAdultGene Expression ProfilingGene Regulatory NetworksGenetic Predisposition to DiseaseHumansMaleProtein Interaction MapsAbnormal sperm parametersAdhesionDepressionDrugImmunity

Identifiers

PMID40263245
PMCPMC12229347

What Socratic holds

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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.