ArticleFrontiers in immunology2023
Integrative bioinformatics analysis to identify novel biomarkers associated with non-obstructive azoospermia.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- Whole-genome sequencing identifies a potentially causative homozygous splicing variant inInternational journal of reproductive biomedicine · 2026Article
- Review
- Autophagy-related biomarkers in non-obstructive azoospermia: insights from transcriptomics and single-cell sequencing.Journal of assisted reproduction and genetics · 2025Article
- Novel anoikis-related genes for the diagnosis of non-obstructive azoospermia.Translational andrology and urology · 2025Article
- Integrative bioinformatics analysis to identify ferroptosis-related genes in non-obstructive azoospermia.Journal of assisted reproduction and genetics · 2024Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: This study aimed to identify autophagy-related genes (ARGs) associated with non-obstructive azoospermia and explore the underlying molecular mechanisms. Methods: Two datasets associated with azoospermia were downloaded from the Gene Expression Omnibus database, and ARGs were obtained from the Human Autophagy-dedicated Database. Autophagy-related differentially expressed genes were identified in the azoospermia and control groups. These genes were subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes, protein-protein interaction (PPI) network, and functional similarity analyses. After identifying the hub genes, immune infiltration and hub gene-RNA-binding protein (RBP)-transcription factor (TF)-miRNA-drug interactions were analyzed. Results: A total 46 differentially expressed ARGs were identified between the azoospermia and control groups. These genes were enriched in autophagy-associated functions and pathways. Eight hub genes were selected from the PPI network. Functional similarity analysis revealed that Conclusion: The eight hub genes, including
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Registered trials
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