Integrating genomics and metabolomics to reveal the genetic basis and potential therapeutic targets of diabetic foot.
10.12200/j.issn.1003-0034.20241216
- Author:
Yi ZHANG
1
;
Cheng CHEN
2
;
Zhen-Dong LI
2
;
Hai-Chao ZHOU
2
;
Bing LI
3
;
Yun-Feng YANG
3
Author Information
1. Department of Orthopaedics, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200092, China; McGill University, Montreal QC H3A0G4, Canada.
2. Department of Orthopaedics, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200092, China.
3. Department of Orthopaedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
- Publication Type:Journal Article
- Keywords:
Diabetic foot;
Genome-wide association study;
Heredity;
Metabolites;
Metabolome genome-wide association study;
Mononucleotide
- MeSH:
Humans;
Diabetic Foot/drug therapy*;
Polymorphism, Single Nucleotide;
Genome-Wide Association Study;
Genomics;
Metabolomics;
Metabolome
- From:
China Journal of Orthopaedics and Traumatology
2025;38(9):891-901
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To screen out the key metabolites related to diabetic foot (DF) by integrating genome-wide association studies (GWAS) and metabolome genome-wide association studies (mGWAS).
METHODS:The literature databases such as PubMed and China national knowledge infrastructure(CNKI), as well as genomics databases such as PAN UKBB, FinnGen, and IEU Open GWAS were systematically retrieved from database estobilishment to November 2024 on DF-related single nucleotide polymorphisms and genome-wide association studies. DF-single nucleotide polymorphism-metabolite network was constructed by mGWAS package and mGWAS-Explorer platform. The causal relationship between key factors was evaluated by two-sample Mendelian randomization. The genetic correlation between DF and 575 metabolites (source:IEU Open GWAS) was evaluated by linkage disequilibrium score regression. In vitro experiments were conducted to induce injury of human umbilical vein endothelial cells with 30 mM glucose and intervene with 20 μM γ-tocopherol. Changes in cell migration, scratch healing and tube formation function were detected.
RESULTS:Twenty-senen literatures on single nucleotide polymorphism literatures and 3 studies on GWAS were included. Genetic analysis results showed DF-related single nucleotide polymorphisms were enriched in vascular endothelial dysfunction-related pathways (such as fluid shear stress and atherosclerosis). The results of metabolic network analysis screened out 19 associated metabolites, among which 12 such as γ -tocopherol and pyruvate had significant genetic correlations with DF. Mendelian randomization suggested matrix metalloproteinase-9(MMP-9) might be a potential driver of DF (β=0.658, P=0.063 8), and the occurrence of DF could reduce the level of high-density lipoprotein (β=-0.002, P=0.015 2). The results of in vitro experiments confirmed that γ -tocopherol could improve endothelial dysfunction induced by high glucose, specifically manifested as an increase in the number of cell migrations, improvement in the scratch healing rate, and recovery of tubule formation ability (P<0.05).
CONCLUSION:DF has a genetic basis centered on vascular endothelial dysfunction, and its occurrence can lead to further metabolic disorders. The key single nucleotide polymorphism loci integrated provided molecular markers for the risk stratification of foot ulcers in diabetic patients. In addition, γ -tocopherol has demonstrated clinical application potential as a therapeutic drug for DF by significantly improving the function of vascular endothelial cells in a high-glucose environment.
