Identification of Systemic Drug Targets for Anti-cavernous Fibrosis in the Treatment of Erectile Dysfunction, Guided by Genome-Wide Mendelian Randomization

The treatment of erectile dysfunction (ED) remains a significant challenge. Mendelian randomization (MR) is being increasingly utilized to identify novel therapeutic targets. In this study, we carried out a genome-wide MR analysis on druggable targets with the aim of pinpointing latent therapeutic a...

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Main Authors: Zilong Chen, Quan Wang, Lianqin Zhang, Junfeng Qiu, Yangling Zeng, Hao Kuang, Chunxiu Chen, Zhiming Hong
Format: Article
Language:English
Published: SAGE Publishing 2025-03-01
Series:American Journal of Men's Health
Online Access:https://doi.org/10.1177/15579883251323187
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author Zilong Chen
Quan Wang
Lianqin Zhang
Junfeng Qiu
Yangling Zeng
Hao Kuang
Chunxiu Chen
Zhiming Hong
author_facet Zilong Chen
Quan Wang
Lianqin Zhang
Junfeng Qiu
Yangling Zeng
Hao Kuang
Chunxiu Chen
Zhiming Hong
author_sort Zilong Chen
collection DOAJ
description The treatment of erectile dysfunction (ED) remains a significant challenge. Mendelian randomization (MR) is being increasingly utilized to identify novel therapeutic targets. In this study, we carried out a genome-wide MR analysis on druggable targets with the aim of pinpointing latent therapeutic alternatives for ED. We collected data on the druggable genes and filtered out those associated with blood eQTLs, then performed two-sample MR and colocalization analyses using ED genome-wide association data to screen genes significantly linked to the condition. In addition, we carried out phenome-wide studies, enrichment analysis, protein network modeling, drug prediction, and molecular docking. We screened 3,953 druggable genes from the DGIdb and 4,463 from a review. Following data integration, 74 potential druggable genes were found to potentially regulate corpus cavernosum fibrosis. MR analysis of eQTL data uncovered five drug targets (TGFBR2, ABCC6, ABCB4, EGF, and SMAD3) significantly associated with ED risk. Colocalization analysis suggested a shared causal variant between ED susceptibility and TGFBR2, with a posterior probability (PPH4) exceeding 80%. Drug predictions utilizing DSigDB identified nolone phenylpropionate, sorafenib, and NVP-TAE684 as significantly associated with TGFBR2. Finally, molecular docking indicated strong binding affinities between these candidate drugs and the protein encoded by TGFBR2 (Vina score < −50). Through MR and colocalization analyses, the present study identified five potential drug targets for ED, with TGFBR2 showing remarkable relevance in blood. These findings offer valuable insights and potential leads for the development of more effective ED therapies, which may also contribute to cutting down the expenses involved in drug development.
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spelling doaj-art-6158c8ec7ef4446db5486c2afd222bc12025-08-20T02:53:03ZengSAGE PublishingAmerican Journal of Men's Health1557-98912025-03-011910.1177/15579883251323187Identification of Systemic Drug Targets for Anti-cavernous Fibrosis in the Treatment of Erectile Dysfunction, Guided by Genome-Wide Mendelian RandomizationZilong Chen0Quan Wang1Lianqin Zhang2Junfeng Qiu3Yangling Zeng4Hao Kuang5Chunxiu Chen6Zhiming Hong7Guangzhou University of Chinese Medicine, Guangzhou, ChinaThe Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, ChinaGuangzhou University of Chinese Medicine, Guangzhou, ChinaThe Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, ChinaThe Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, ChinaThe Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, ChinaGuangzhou University of Chinese Medicine, Guangzhou, ChinaThe Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, ChinaThe treatment of erectile dysfunction (ED) remains a significant challenge. Mendelian randomization (MR) is being increasingly utilized to identify novel therapeutic targets. In this study, we carried out a genome-wide MR analysis on druggable targets with the aim of pinpointing latent therapeutic alternatives for ED. We collected data on the druggable genes and filtered out those associated with blood eQTLs, then performed two-sample MR and colocalization analyses using ED genome-wide association data to screen genes significantly linked to the condition. In addition, we carried out phenome-wide studies, enrichment analysis, protein network modeling, drug prediction, and molecular docking. We screened 3,953 druggable genes from the DGIdb and 4,463 from a review. Following data integration, 74 potential druggable genes were found to potentially regulate corpus cavernosum fibrosis. MR analysis of eQTL data uncovered five drug targets (TGFBR2, ABCC6, ABCB4, EGF, and SMAD3) significantly associated with ED risk. Colocalization analysis suggested a shared causal variant between ED susceptibility and TGFBR2, with a posterior probability (PPH4) exceeding 80%. Drug predictions utilizing DSigDB identified nolone phenylpropionate, sorafenib, and NVP-TAE684 as significantly associated with TGFBR2. Finally, molecular docking indicated strong binding affinities between these candidate drugs and the protein encoded by TGFBR2 (Vina score < −50). Through MR and colocalization analyses, the present study identified five potential drug targets for ED, with TGFBR2 showing remarkable relevance in blood. These findings offer valuable insights and potential leads for the development of more effective ED therapies, which may also contribute to cutting down the expenses involved in drug development.https://doi.org/10.1177/15579883251323187
spellingShingle Zilong Chen
Quan Wang
Lianqin Zhang
Junfeng Qiu
Yangling Zeng
Hao Kuang
Chunxiu Chen
Zhiming Hong
Identification of Systemic Drug Targets for Anti-cavernous Fibrosis in the Treatment of Erectile Dysfunction, Guided by Genome-Wide Mendelian Randomization
American Journal of Men's Health
title Identification of Systemic Drug Targets for Anti-cavernous Fibrosis in the Treatment of Erectile Dysfunction, Guided by Genome-Wide Mendelian Randomization
title_full Identification of Systemic Drug Targets for Anti-cavernous Fibrosis in the Treatment of Erectile Dysfunction, Guided by Genome-Wide Mendelian Randomization
title_fullStr Identification of Systemic Drug Targets for Anti-cavernous Fibrosis in the Treatment of Erectile Dysfunction, Guided by Genome-Wide Mendelian Randomization
title_full_unstemmed Identification of Systemic Drug Targets for Anti-cavernous Fibrosis in the Treatment of Erectile Dysfunction, Guided by Genome-Wide Mendelian Randomization
title_short Identification of Systemic Drug Targets for Anti-cavernous Fibrosis in the Treatment of Erectile Dysfunction, Guided by Genome-Wide Mendelian Randomization
title_sort identification of systemic drug targets for anti cavernous fibrosis in the treatment of erectile dysfunction guided by genome wide mendelian randomization
url https://doi.org/10.1177/15579883251323187
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