Evidence map›Paper›PMID 40013460›Full record

ArticleJournal of cosmetic dermatology2025

Causal Association Between Inflammatory Factors and Hypertrophic Scar: A Two-Sample Mendelian Randomization Study.

Yanqi Li, Yankun Zhang, Wanchao Wang, Yuge Wang, Hongmei Ai

Abstract read
In one paragraph

Article in Journal of cosmetic dermatology, 2025. 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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0citing papers 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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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

5 authors.

Yanqi LiDepartment of Plastic Surgery, Emergency General Hospital/National Research Center for Emergency Medicine, Beijing, China.
Yankun ZhangDepartment of Dermatology and Medical Cosmetology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Wanchao WangDepartment of Plastic Surgery, Emergency General Hospital/National Research Center for Emergency Medicine, Beijing, China.
Yuge WangDepartment of Plastic Surgery, Emergency General Hospital/National Research Center for Emergency Medicine, Beijing, China.
Hongmei AiDepartment of Plastic Surgery, Emergency General Hospital/National Research Center for Emergency Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertrophic scars result from abnormal healing following skin injuries.

aimTo delve deeper into the causal association between inflammatory factors and hypertrophic scars.

methodsThis study utilized genetic data from the FINN cohort and pertinent literature to scrutinize the nexus between a spectrum of inflammatory factors-encompassing IL-1β, interleukin 1 receptor-like 1, MCP1, RANTES/CCL5, TNFα, IL-8, IL-18, and CTACK/CCL27-and the risk of hypertrophic scarring. Our analytical strategy was based on the inverse variance weighted (IVW) approach, further bolstered by MR-Egger, weighted median, and weighted mode methods to ensure a comprehensive assessment. The reliability of our findings was rigorously appraised through Cochran's Q test, MR-Egger regression, MR-PRESSO, and leave-one-out analysis.

resultsThe genetic prediction results revealed a significant association between CTACK and hypertrophic scars (OR 1.21, 95% CI 1.05-1.4, p = 0.01) using the IVW method, although it was not corroborated by other MR analysis methods. The remaining inflammatory factors did not exhibit significant correlations with the risk of hypertrophic scar formation (all p > 0.05). The absence of significant heterogeneity among the IVs was indicated by Cochran's Q test. MR-Egger and MR-PRESSO analyses collectively suggested no substantial horizontal pleiotropy influencing the results, except for the relationship between RANTES and hypertrophic scars. Upon exclusion of an outlier, the causal relationship between RANTES and hypertrophic scars was found to be non-significant.

conclusionOur MR analysis supports a causal association between CTACK and hypertrophic scars, enhancing our understanding of scar formation and suggesting potential targeted therapeutic strategies for treatment.

Indexed as

Cicatrix, HypertrophicHumansMendelian Randomization AnalysisPolymorphism, Single Nucleotidecausal associationCTACKETHE1hypertrophic scarinflammatory factorsMendelian randomization

Identifiers

PMID40013460
PMCPMC11866262

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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.