Evidence map›Paper›PMID 41511717›Full record

ArticleMolecular and cellular biochemistry2026

Single-cell transcriptomic profiling identifies therapeutic subpopulations of adipose-derived mesenchymal stromal cells for human keloid management.

Shuang Wang, Fei Ma, Zhijie Bai, Wei Zhang, Xiaoxi Song, Jinlai Zhang, Pengfei Han, Xiaobing Li

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Article in Molecular and cellular biochemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers 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

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Shuang WangPlastic and Burn Surgery, Tianjin First Central Hospital, No.24 Fukang Road, Tianjin, 300192, China.
Fei MaTasly Stem Cell Biology Laboratory, Tasly Group, Tianjin, 300410, China.
Zhijie BaiPlastic and Burn Surgery, Tianjin First Central Hospital, No.24 Fukang Road, Tianjin, 300192, China.
Wei ZhangPlastic and Burn Surgery, Tianjin First Central Hospital, No.24 Fukang Road, Tianjin, 300192, China.
Xiaoxi SongTasly Stem Cell Biology Laboratory, Tasly Group, Tianjin, 300410, China.
Jinlai ZhangTasly Stem Cell Biology Laboratory, Tasly Group, Tianjin, 300410, China.
Pengfei HanTasly Stem Cell Biology Laboratory, Tasly Group, Tianjin, 300410, China.
Xiaobing LiPlastic and Burn Surgery, Tianjin First Central Hospital, No.24 Fukang Road, Tianjin, 300192, China. lixiaobinglxbcs@163.com.

Funding

National Natural Science Foundation of China 82072212Tianjin First Central Hospital CM201802Tianjin Key Medical Discipline (Specialty) Construction Project TJWJ2022XK022
6 · The paper itself

Abstract

objectiveKeloids are pathological scars characterized by excessive collagen deposition that occurs during wound healing after skin injury. Keloid fibroblasts (KF) and keloid keratinocytes (KK) are key contributors to keloid pathogenesis. Although adipose-derived mesenchymal stromal cells (ASCs) have been investigated for keloid therapy, their therapeutic potential and underlying mechanisms require further elucidation. This study aimed to characterize the therapeutic potential of ASCs for human keloid management.

methodsMolecular profiles associated with keloid pathogenesis were characterized through integrative analyses, including gene expression profiling, functional annotation, protein-protein interaction mapping, and hub gene identification. Single-cell RNA sequencing (scRNA-seq) was used to identify ASC subpopulations with inhibitory effects on keloid development. The therapeutic efficacy of these subpopulations was subsequently assessed in a miniature pig model of hypertrophic scar.

resultsUpregulation of hub genes such as NOG and IL6 was strongly associated with KF formation, whereas increased expression of APP and NOTCH1 was implicated in KK development. Functional scRNA-seq analysis identified ASC subpopulations capable of inhibiting the development of KF, KK, or both through molecular interactions with these hub genes. Administration of porcine ASCs enriched in the identified inhibitory subpopulations effectively prevented hypertrophic scar formation in the miniature pig model.

conclusionThis study delineated key molecular signatures underlying keloid formation and identified ASC subpopulations with targeted inhibitory activity against pathological cell types involved in keloid development. These findings support the potential application of ASC-based interventions for prophylaxis and treatment of hypertrophic scarring in humans.

Indexed as

Adipose TissueGene Expression ProfilingKeloidMesenchymal Stem CellsMesenchymal Stem Cell TransplantationSingle-Cell AnalysisTranscriptomeAnimalsFibroblastsHumansSingle-Cell Gene Expression AnalysisSwineSwine, MiniatureASCsKeloidMolecular signaturesSingle cell transcriptomeStem cell therapy

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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.