ArticleFrontiers in endocrinology2024
Identification of potential biomarkers and pathways for asthenozoospermia by bioinformatics analysis and experiments.
Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- DCDC2C Protein Expression in Human Spermatozoa: A Potential Molecular Marker for Asthenozoospermia.Medical sciences (Basel, Switzerland) · 2026Article
- Research progress on m6A RNA methylation modification in human reproduction related diseases.European journal of medical research · 2025Review
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Authors and funding
9 authors.
Funding
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Abstract
Background: Asthenozoospermia, a type of male infertility, is primarily caused by dysfunctional sperm mitochondria. Despite previous bioinformatics analysis identifying potential key lncRNAs, miRNAs, hub genes, and pathways associated with asthenospermia, there is still a need to explore additional molecular mechanisms and potential biomarkers for this condition. Methods: We integrated data from Gene Expression Omnibus (GEO) (GSE22331, GSE34514, and GSE160749) and performed bioinformatics analysis to identify differentially expressed genes (DEGs) between normozoospermia and asthenozoospermia. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were conducted to gain insights into biological processes and signaling pathways. Weighted Gene Co-expression Network Analysis (WGCNA) identified gene modules associated with asthenozoospermia. Expression levels of key genes were assessed using datasets and experimental data. Gene Set Enrichment Analysis (GSEA) and correlation analysis identified pathways associated with the hub gene and explore the relationship between the Results: Conclusion: The ceRNA regulatory network (
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Registered trials
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