Evidence map›Paper›PMID 41391160›Full record

ArticleKidney & blood pressure research2026

Multi-Omics Analysis Identified ADAM7 as a Biomarker and Therapeutic Target for End-Stage Renal Disease.

Xiaoqi Deng, Yu Luo, Lin Mei, Jinlan Wu, Mengxi He, Li Ma, Yun Lin

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In one paragraph

Article in Kidney & blood pressure research, 2026. 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

What it found

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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

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3 · Its place in the literature

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4 · The record

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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

7 authors.

Xiaoqi DengDepartment of Nephrology, Zigong Fourth People's Hospital, Zigong, China.
Yu LuoDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Lin MeiDepartment of Nephrology, Zigong Fourth People's Hospital, Zigong, China.
Jinlan WuDepartment of Nephrology, Zigong Fourth People's Hospital, Zigong, China.
Mengxi HeDepartment of Nephrology, Zigong Fourth People's Hospital, Zigong, China.
Li MaDepartment of Nephrology, Zigong Fourth People's Hospital, Zigong, China, mali19820712@163.com.
Yun LinDepartment of Nephrology, Zigong Fourth People's Hospital, Zigong, China, ly14623@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSarcopenia is a common comorbidity in end-stage renal disease (ESRD) and is associated with increased risk of adverse clinical outcomes. The genetic mechanisms underlying sarcopenia in ESRD remain largely unclear. This study employed multi-omics bioinformatics approaches to elucidate potential genetic determinants.

methodsGene expression datasets GSE1428 and GSE142153 were retrieved from the Gene Expression Omnibus database to identify shared differentially expressed genes. Machine learning approaches were applied to pinpoint hub genes, followed by Mendelian randomization (MR) analyses to assess their associations with ESRD. Candidate therapeutic agents were subsequently predicted based on these hub genes.

resultsADAM7 emerged as the principal hub gene, with MR analyses suggesting a protective role against ESRD and sarcopenia. Predicted therapeutics included arbutin, metribolone, and phenethyl isothiocyanate. Molecular docking studies revealed favorable interactions, with binding free energies consistently below 5.0 kcal/mol between ADAM7 and these compounds.

conclusionOur findings identify ADAM7 as a potential biomarker and therapeutic target for ESRD-associated sarcopenia, offering insights for future intervention strategies.

Indexed as

ADAM ProteinsKidney Failure, ChronicBiomarkersComputational BiologyHumansMendelian Randomization AnalysisMolecular Docking SimulationMultiomicsSarcopeniaADAM ProteinsBiomarkersADAM7BiomarkerEnd-stage renal diseaseSarcopenia

Identifiers

PMID41391160
PMCPMC12863727

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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.