ArticleJournal of inflammation research2025
Multi-Omics Association Analysis of Mitochondrial Genes in Hypertrophic Scars: Application of Mendelian Randomization.
Article in Journal of inflammation research, 2025. 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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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.
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Who cites it
1 citing paper in PubMed.
- Comment on "Multi-Omics Association Analysis of Mitochondrial Genes in Hypertrophic Scars: Application of Mendelian Randomization" [Letter].Journal of inflammation research · 2026Article
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Authors and funding
4 authors.
Funding
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Abstract
Purpose: The role of mitochondrial-related genes in the pathophysiology of hypertrophic scars (HS) is not well understood. This study aims to provide multi-omics insight into mitochondrial genes associated with HS through Mendelian randomization (MR) methods. Methods: Mitochondrial-related genes in this study were obtained from the MitoCarta3.0 database. Relevant single nucleotide polymorphisms (SNPs) were screened from methylation, expression and protein quantitative trait loci (mQTLs, eQTLs, and pQTLs) of mitochondrial genes. Five regression models including MR-Egger regression, Inverse variance weighted (IVW), Weighted Median, Weighted mode and Simple mode were employed to assess the potential causal relationship between mitochondrial genes and HS risk. Steiger filtering test was used to verify the direction of the causal relationship between genotype, intermediate variables, and final outcomes. Colocalization was employed to identify whether two phenotypes were driven by the same causal variant in a specific region. Multi-omics analysis integrated results from three different gene regulatory layers. Results: 376 CpG sites, 233 mitochondrial gene expressions and 34 proteins were found associated with HS via MR. Multi-omics results indicated that Conclusion: This study identified 21 mitochondrial genes with therapeutic potential, with
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