Evidence map›Paper›PMID 40035851›Full record

ArticleArchives of dermatological research2025

The impact of remnant lipids on keloid formation: a causal analysis using mendelian randomization.

Zhimin Zhao, Gang Shen, Hengchang Sun, Jiao Gong, Bo Hu

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In one paragraph

Article in Archives of dermatological research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
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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.

Zhimin ZhaoDepartment of Laboratory Medicine, Longgang District Maternity and Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, Guangdong, China.
Gang ShenDepartment of Laboratory Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, Tianhe Road 600#, Guangzhou, 510630, Guangdong, China.
Hengchang SunDepartment of Laboratory Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, Tianhe Road 600#, Guangzhou, 510630, Guangdong, China.
Jiao GongDepartment of Laboratory Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, Tianhe Road 600#, Guangzhou, 510630, Guangdong, China. gongjiao@mail2.sysu.edu.cn.
Bo HuDepartment of Laboratory Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, Tianhe Road 600#, Guangzhou, 510630, Guangdong, China. hubo@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Keloids are pathological scars that remain a significant clinical challenge due to their persistence and high recurrence rates. Lipid metabolism disturbances are believed to contribute to keloid formation. However, the causal effect of lipids on keloids has not been established. We employed two-sample Mendelian randomization (TSMR) analyses to explore the causality between 25 lipid parameters and keloid using genome-wide association study data. The inverse variance weighting method was the primary analytical approach for estimating causality. We also conducted sensitivity analyses to validate the stability of TSMR results. Our study provides evidence suggesting a genetic association between remnant lipids and keloid formation, with triglyceride-rich remnant lipoproteins, particularly triglycerides to total lipids ratio in very large VLDL(XL.VLDL.TG), potentially promoting keloid formation and cholesterol-rich remnant lipoproteins possibly offering a protective effect. These findings highlight the potential role of remnant lipid parameters, especially XL.VLDL.TG, in modulating keloid development through inflammatory processes. While these findings provide valuable new insights into lipid metabolism and keloid pathogenesis, further experimental studies are required to clarify the mechanisms and confirm the relevance of these lipid parameters in keloid formation. The identification of remnant lipid parameters as potential biomarkers for keloid risk opens new avenues for diagnostic and therapeutic strategies, but further research is required to apply these findings in clinical practice.

Indexed as

KeloidLipid MetabolismLipoproteins, VLDLTriglyceridesBiomarkersGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLipidsMendelian Randomization AnalysisPolymorphism, Single NucleotideBiomarkersLipidsLipoproteins, VLDLTriglyceridesCholesterolKeloidLipidsMendelian randomizationRemnant lipidsTriglycerides

Identifiers

PMID40035851

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.