Evidence map›Paper›PMID 42792954›Full record

ArticleGenes2026

Drug Repositioning Based on Single-Cell Transcriptomics Data Identifies Quinidine as a Potential Drug for Treating Osteoporosis.

Rong Wang, Jia-Li Li, Kun Liu, Xuan Lu, Qian-Qian Zhang, Qin Zeng, Yun Deng, Xiao-Chao Qu, Xiang-Ding Chen, Li-Jun Tan

Abstract read
In one paragraph

Article in Genes, 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

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Rong WangLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China.ORCID 0009-0000-1808-8870
Jia-Li LiLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China.
Kun LiuLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China.
Xuan LuLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China.
Qian-Qian ZhangLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China.
Qin ZengLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China.
Yun DengZebrafish Genetics Laboratory, College of Life Sciences, Hunan Normal University, Changsha 410081, China.
Xiao-Chao QuLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China.ORCID 0000-0002-3181-3704
Xiang-Ding ChenLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China.
Li-Jun TanLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis (OP) is characterized by low bone mass and impaired bone microarchitecture, and the long-term use of current therapies is limited by adverse effects and poor adherence. This study sought to identify drugs that could be repurposed for glucocorticoid-induced osteoporosis.

methodsSingle-cell RNA-sequencing data from two subjects with osteoporotic fractures and three control subjects were analyzed to identify transcriptional changes in osteoblasts. Candidate drugs were screened using ASGARD and L1000 drug-response signatures. Two-sample Mendelian randomization was used to examine associations between genetically predicted expression of drug-target genes and osteoporosis risk. Quinidine was tested in dexamethasone-treated Tu and Tg(

resultsFour candidate drugs were identified, of which quinidine was selected for experimental evaluation. Genetically predicted SCN5A expression was positively associated with osteoporosis risk. Quinidine partially restored cranial mineralization in dexamethasone-treated larvae, with the greatest effect at 10 μmol/L; the 100 μmol/L treatment was less effective. Quinidine also altered the expression of several bone-remodeling-related genes. In adult zebrafish, quinidine treatment was associated with higher bone mineral density and bone volume fraction than dexamethasone treatment alone.

conclusionsQuinidine alleviated several dexamethasone-induced skeletal phenotypes in zebrafish and represents a candidate for further drug-repurposing studies in osteoporosis. Direct validation of its molecular mechanism and safety profile is still required.

Indexed as

Drug RepositioningOsteoporosisQuinidineTranscriptomeAnimalsDexamethasoneFemaleHumansOsteoblastsSingle-Cell AnalysisZebrafishDexamethasoneQuinidinedrug repositioningmendelian randomizationosteoporosisquinidinesingle-cell RNA sequencingzebrafish

Identifiers

PMID42792954
PMCPMC13606602

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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.