Evidence map›Paper›PMID 41986576›Full record

ArticleJournal of cosmetic dermatology2026

Study on the Potential Molecular Mechanism of Keloid Disease Associated With Single Cell Combined Mendelian Randomization.

Hui-Hui Wu, Yong-Xia Meng, Juan-Hua Liu, Di-Qing Luo, Mu-Kai Chen, Yu-Kun Zhao

Abstract read
In one paragraph

Article in Journal of cosmetic dermatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Hui-Hui WuDepartment of Dermatology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Yong-Xia MengDepartment of Dermatology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Juan-Hua LiuDepartment of Dermatology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Di-Qing LuoDepartment of Dermatology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Mu-Kai ChenDepartment of Dermatology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Yu-Kun ZhaoDepartment of Dermatology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-9856-5338

Funding

National Natural Science Foundation of China 82304059
6 · The paper itself

Abstract

backgroundKeloids are pathological scars with incompletely understood pathogenesis. This study aims to identify the key genes and regulatory networks potentially involved in keloid formation by integrating single-cell transcriptomics (scRNA-seq), protein quantitative trait loci (pQTL), Mendelian randomization (MR) analyses, colocalization, and comprehensive functional characterization.

methodsSingle-cell RNA sequencing data (GSE181297, GSE163973) and bulk transcriptomic data (GSE145725) were obtained from the GEO database. These datasets, which included both keloid lesions and normal scar samples from distinct individuals, were subjected to rigorous quality control and cell annotation. Intercellular communication was analyzed using CellChat, and co-expression networks were constructed via hdWGCNA. To identify potential causal genes, MR analysis was performed by integrating pQTL data from the deCODE database with GWAS summary statistics (GCST90018874), followed by colocalization, sensitivity analysis, and reverse validation. Further functional characterization of potential key genes was conducted through Gene Set Enrichment Analysis (GSEA), immune infiltration analysis, transcription factor (TF) regulatory network inference, and pseudotime trajectory analysis.

results92 659 high-quality cells were retained, revealing seven major cell types with fibroblasts showing the most extensive intercellular interactions. Mendelian randomization identified 11 genes causally linked to keloid risk, with genetically determined downregulation of SSR1 and SRA1 associated with increased susceptibility. SRA1 was enriched in cell cycle, nucleocytoplasmic transport, and ribosome biogenesis in eukaryotes, while SSR1 was implicated in complement/coagulation cascades, the NOD-like receptor signaling pathway, and viral protein interaction with cytokine and cytokine receptors. Immunoinfiltration, TF network and motif analysis, and pseudotime analysis further characterized their regulatory roles in immune microenvironment modulation and cell differentiation.

conclusionsThis multi-omics study identifies SRA1 and SSR1 as potential key protective genes in keloid pathogenesis. These genes may contribute to inhibiting disease progression through modulation of cell proliferation, the immune microenvironment, and cellular signaling pathways. These findings provide novel mechanistic insights and potential immunotherapeutic targets for keloids.

Indexed as

KeloidGene Regulatory NetworksGenome-Wide Association StudyHumansMendelian Randomization AnalysisQuantitative Trait LociSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisTranscriptomekeloidsMendelian randomization analysesprotein quantitative trait locisingle‐cell transcriptomicsSRA1SSR1

Identifiers

PMID41986576
PMCPMC13083048

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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.