ArticleFrontiers in endocrinology2023
Exploring potential genes and mechanisms linking erectile dysfunction and depression.
Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 16 citations in OpenAlex.
- Unraveling the intersection of sleep disorders and erectile dysfunction: Outcomes from two EPISONO editions.Andrology · 2026Article
- Genetic Prediction of Erectile Dysfunction Caused by Statins Among Malaysian Cardiac Patients.International journal of molecular sciences · 2025Article
- XGBoost model for predicting erectile dysfunction risk after radical prostatectomy: development and validation using machine learning.Discover oncology · 2025Article
- Association Between Fine Particle Waves and Sexual Function: A Nationwide Cross-Sectional Survey in China.Toxics · 2025Article
- Age-related differences of serum total testosterone and psychological factors in patients with erectile dysfunction.Frontiers in endocrinology · 2025Article
- Identification and validation of new fatty acid metabolism-related mechanisms and biomarkers for erectile dysfunction.Sexual medicine · 2024Article
- Cancers and erectile dysfunction: a Mendelian randomization study.Frontiers in endocrinology · 2024Article
- Influence of personality disorders on sexual behaviours and response to treatment of psychogenic erectile dysfunction in phosphodiesterase 5 inhibitor non-responders.Frontiers in psychology · 2024Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The clinical correlation between erectile dysfunction (ED) and depression has been revealed in cumulative studies. However, the evidence of shared mechanisms between them was insufficient. This study aimed to explore common transcriptomic alterations associated with ED and depression. Materials and methods: The gene sets associated with ED and depression were collected from the Gene Expression Omnibus (GEO) database. Comparative analysis was conducted to obtain common genes. Using R software and other appropriate tools, we conducted a range of analyses, including function enrichment, interactive network creation, gene cluster analysis, and transcriptional and post-transcriptional signature profiling. Candidate hub crosslinks between ED and depression were selected after external validation and molecular experiments. Furthermore, subpopulation location and disease association of hub genes were explored. Results: A total of 85 common genes were identified between ED and depression. These genes strongly correlate with cell adhesion, redox homeostasis, reactive oxygen species metabolic process, and neuronal cell body. An interactive network consisting of 80 proteins and 216 interactions was thereby developed. Analysis of the proteomic signature of common genes highlighted eight major shared genes: CLDN5, COL7A1, LDHA, MAP2K2, RETSAT, SEMA3A, TAGLN, and TBC1D1. These genes were involved in blood vessel morphogenesis and muscle cell activity. A subsequent transcription factor (TF)-miRNA network showed 47 TFs and 88 miRNAs relevant to shared genes. Finally, CLDN5 and TBC1D1 were well-validated and identified as the hub crosslinks between ED and depression. These genes had specific subpopulation locations in the corpus cavernosum and brain tissue, respectively. Conclusion: Our study is the first to investigate common transcriptomic alterations and the shared biological roles of ED and depression. The findings of this study provide insights into the referential molecular mechanisms underlying the co-existence between depression and ED.
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