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      Repurposing Approved Drugs for Sarcopenia Based on Transcriptomics Data in Humans.

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          Abstract

          Sarcopenia, characterized by age-related loss of muscle mass, strength, and decreased physical performance, is a growing public health challenge amid the rapidly ageing population. As there are no approved drugs that target sarcopenia, it has become increasingly urgent to identify promising pharmacological interventions. In this study, we conducted an integrative drug repurposing analysis utilizing three distinct approaches. Firstly, we analyzed skeletal muscle transcriptomic sequencing data in humans and mice using gene differential expression analysis, weighted gene co-expression analysis, and gene set enrichment analysis. Subsequently, we employed gene expression profile similarity assessment, hub gene expression reversal, and disease-related pathway enrichment to identify and repurpose candidate drugs, followed by the integration of findings with rank aggregation algorithms. Vorinostat, the top-ranking drug, was also validated in an in vitro study, which demonstrated its efficacy in promoting muscle fiber formation. Although still requiring further validation in animal models and human clinical trials, these results suggest a promising drug repurposing prospect in the treatment and prevention of sarcopenia.

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          Author and article information

          Journal
          Pharmaceuticals (Basel)
          Pharmaceuticals (Basel, Switzerland)
          MDPI AG
          1424-8247
          1424-8247
          Apr 18 2023
          : 16
          : 4
          Affiliations
          [1 ] Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha 410013, China.
          [2 ] Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410013, China.
          [3 ] Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA 999039, USA.
          Article
          ph16040607
          10.3390/ph16040607
          37111364
          b1cf8b2a-0da3-4752-8632-5435b3c9b594
          History

          differential analysis,drug repositioning,gene set enrichment analysis (GSEA),sarcopenia,weighted correlation network analysis (WGCNA)

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