Evidence map›Paper›PMID 40463816›Full record

ArticleSexual medicine2025

NFKB1-targeted metabolites as novel therapeutic approaches for erectile dysfunction: evidence from gut microbiota network pharmacology and machine learning.

Boyu Xiang, Jinshun An, Dongjie Li

Abstract read
In one paragraph

Article in Sexual medicine, 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

3 authors.

Boyu XiangDepartment of Urology, Andrology Center, Xiangya Hospital, Central South University, Changsha 410008, P.R. China.
Jinshun AnDepartment of Urology, Andrology Center, Xiangya Hospital, Central South University, Changsha 410008, P.R. China.
Dongjie LiDepartment of Urology, Andrology Center, Xiangya Hospital, Central South University, Changsha 410008, P.R. China.ORCID https://orcid.org/0000-0003-4679-7871

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Growing evidence suggests that alterations in the gut microbiota may contribute to the pathogenesis of erectile dysfunction (ED). Aim: To investigate the potential causal relationship between specific gut microbial taxa and ED, identify key microbial metabolites and their associated target genes, and evaluate their therapeutic potential through computational drug screening. Methods: Genome-wide association study (GWAS) summary statistics for gut microbiota and ED were obtained from the MiBioGen, IEU OpenGWAS, and FinnGen databases. Mendelian randomization (MR) analysis was performed using the TwoSampleMR package to assess potential causal relationships. A microbiota-metabolite-target gene network was constructed using data from GutMGene, Super-PRED, and GeneCards databases to explore the microbiota-host interaction axis. The DeepPurpose machine learning framework was utilized to predict drug-target binding affinities, and top-ranking drug-gene pairs were validated by molecular docking to assess binding free energies and confirm interaction stability. Outcomes: The study aimed to identify specific gut microbiota, metabolites, and target genes associated with ED and evaluate their therapeutic potential. Results: MR analysis revealed a negative association between ED and the gut microbial genera Clinical Implications: These findings suggest that gut microbiota and their metabolites could serve as potential therapeutic targets for ED interventions. Strengths and Limitations: The study provides novel insights into the gut microbiota-ED relationship by integrating multi-omics data and advanced computational methods. However, validation in preclinical or clinical studies is needed to translate these findings into therapeutic applications. Conclusion: Specific gut microbiota, through metabolites and associated target genes, may influence the onset of ED. These findings highlight potential therapeutic targets and provide a basis for future interventions in ED treatment.

Indexed as

erectile dysfunctiongut microbiotamachine learningMendelian randomizationmolecular docking

Identifiers

PMID40463816
PMCPMC12128923

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