Evidence map›Paper›PMID 38644354›Full record

ArticleJournal of cachexia, sarcopenia and muscle2024

Systematic druggable genome-wide Mendelian randomization identifies therapeutic targets for sarcopenia.

Kang-Fu Yin, Ting Chen, Xiao-Jing Gu, Wei-Ming Su, Zheng Jiang, Si-Jia Lu, Bei Cao, Li-Yi Chi, Xia Gao, Yong-Ping Chen

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
13.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 40 citations in OpenAlex.

  1. AI-driven drug design: a comprehensive review.Journal of computer-aided molecular design · 2026
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  20. Multi-omic studies on the pathogenesis of Sepsis.Journal of translational medicine · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Kang-Fu YinDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Ting ChenDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Xiao-Jing GuMental Health Center, West China Hospital, Sichuan University, Chengdu, China.
Wei-Ming SuDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Zheng JiangDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Si-Jia LuDepartment of Respiratory, The Fourth People's Hospital of Chengdu, Mental Health Center of Chengdu, Chengdu, China.
Bei CaoDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Li-Yi ChiDepartment of Neurology, First Affiliated Hospital of Air Force Military Medical University, Xi'an, China.
Xia GaoDepartment of Geriatrics, Dazhou Central Hospital, Dazhou, China.
Yong-Ping ChenDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0002-5603-4192
Sichuan University · CNDazhou Central Hospital · CNThe Fourth People's Hospital · CNXijing Hospital · CN

Funding

135 Project for Disciplines of Excellence-Clinical Research Fund, West China Hospital, Sichuan University 2023HXFH032National Key Research and Development Program of China 2022YFC2703101National Natural Science Fund of China 81971188National Natural Science Fund of China 82371422National Natural Science Fund of Sichuan 2022NSFSC0749Science and Technology Bureau Fund of Sichuan Province 2023YFS0269
6 · The paper itself

Abstract

backgroundThere are no effective pharmacological treatments for sarcopenia. We aim to identify potential therapeutic targets for sarcopenia by integrating various publicly available datasets.

methodsWe integrated druggable genome data, cis-eQTL/cis-pQTL from human blood and skeletal muscle tissue, and GWAS summary data of sarcopenia-related traits to analyse the potential causal relationships between drug target genes and sarcopenia using the Mendelian Randomization (MR) method. Sensitivity analyses and Bayesian colocalization were employed to validate the causal relationships. We also assessed the side effects or additional indications of the identified drug targets using a phenome-wide MR (Phe-MR) approach and investigated actionable drugs for target genes using available databases.

resultsMR analysis identified 17 druggable genes with potential causation to sarcopenia in human blood or skeletal muscle tissue. Six of them (HP, HLA-DRA, MAP 3K3, MFGE8, COL15A1, and AURKA) were further confirmed by Bayesian colocalization (PPH4 > 90%). The up-regulation of HP [higher ALM (beta: 0.012, 95% CI: 0.007-0.018, P = 1.2*10

conclusionsOur research indicated MAP 3K3, MFGE8, COL15A1, HP, and HLA-DRA may serve as promising targets for sarcopenia, while the effectiveness of zinc supplementation and collagenase clostridium histolyticum for sarcopenia requires further validation.

Indexed as

Genome-Wide Association StudyMendelian Randomization AnalysisSarcopeniaBayes TheoremHumansPolymorphism, Single NucleotideColocalizationDruggable genesMendelian randomizationSarcopenia

Identifiers

PMID38644354
PMCPMC11294052
OpenAlexW4395008844

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.