ArticleBMC medicine2023
Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern study.
Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 59 citations in OpenAlex.
- Orchestrating glucose metabolism: PFKFB2 as a signal-integrating conductor in homeostasis and disease.The Journal of biological chemistry · 2026Review
- Targeted metabolomics to assess positive effects of empagliflozin in a Parkinson's disease model: focused on the kynurenine pathway and oxidative stress.Scientific reports · 2026Article
- Multi-Omics Analyses of the Gut Microbiota and Metabolism in Cats with Different Body Conditions and the Effects of Fecal Microbiota Transplantation.Veterinary sciences · 2026Article
- Cross-Cultural Nutritional Epigenomics: Diet and Microbiome Interactions Shaping Type 2 Diabetes in Arab and Western Populations.Nutrients · 2026Review
- Unravelling the molecular mechanisms causal to type 2 diabetes across global populations and disease-relevant tissues.Nature metabolism · 2026Article
- Epigenome-wide mediation analysis identified Cytosine-phosphate-Guanine sites linking environmental factors with diabetes indicators.Epigenomics · 2026Article
- Maternal DNA methylation signatures of gestational diabetes across all stages of pregnancy.Journal of translational medicine · 2025Article
- Review
- From omics to AI-mapping the pathogenic pathways in type 2 diabetes.FEBS letters · 2025Review
- Omics-based profiling and therapeutic potential of natural components in pan-Shennongjia medicinal herbs.Chinese medicine · 2025Article
- Foodomics in Diabetes Management: A New Approach.Food science & nutrition · 2025Review
- Illuminating diabetesWorld journal of diabetes · 2025Review
- N-Lactoyl Amino Acids: Emerging Biomarkers in Metabolism and Disease.Diabetes/metabolism research and reviews · 2025Review
- Cardiometabolic disease management: influences from epigenetics.Epigenomics · 2025Review
- DNA methylation associated with the serum alanine aminotransferase concentration: evidence from Chinese monozygotic twins.Clinical epigenetics · 2025Article
- From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies.Molecular biotechnology · 2025Review
- Coronary heart disease and type 2 diabetes metabolomic signatures in the Middle East.Frontiers in endocrinology · 2025Article
- Exploratory Research on the Urine Proteome in Patients With Diabetic Peripheral Neuropathy.International journal of endocrinology · 2025Article
- Ethyl acetate extract ofFrontiers in pharmacology · 2025Article
- Metabolomics uncovers the diabetes metabolic network: from pathophysiological mechanisms to clinical applications.Frontiers in endocrinology · 2025Review
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundT2D is of high prevalence in the middle east and thus studying its mechanisms is of a significant importance. Using 1026 Qatar BioBank samples, epigenetics, whole genome sequencing and metabolomics were combined to further elucidate the biological mechanisms of T2D in a population with a high prevalence of T2D.
methodsAn epigenome-wide association study (EWAS) with T2D was performed using the Infinium 850K EPIC array, followed by whole genome-wide sequencing SNP-CpG association analysis (> 5.5 million SNPs) and a methylome-metabolome (CpG-metabolite) analysis of the identified T2D sites.
resultsA total of 66 T2D-CpG associations were identified, including 63 novel sites in pathways of fructose and mannose metabolism, insulin signaling, galactose, starch and sucrose metabolism, and carbohydrate absorption and digestion. Whole genome SNP associations with the 66 CpGs resulted in 688 significant CpG-SNP associations comprising 22 unique CpGs (33% of the 66 CPGs) and included 181 novel pairs or pairs in novel loci. Fourteen of the loci overlapped published GWAS loci for diabetes related traits and were used to identify causal associations of HK1 and PFKFB2 with HbA1c. Methylome-metabolome analysis identified 66 significant CpG-metabolite pairs among which 61 pairs were novel. Using the identified methylome-metabolome associations, methylation QTLs, and metabolic networks, a multi-omics network was constructed which suggested a number of metabolic mechanisms underlying T2D methylated genes. 1-palmitoyl-2-oleoyl-GPE (16:0/18:1) - a triglyceride-associated metabolite, shared a common network with 13 methylated CpGs, including TXNIP, PFKFB2, OCIAD1, and BLCAP. Mannonate - a food component/plant shared a common network with 6 methylated genes, including TXNIP, BLCAP, THBS4 and PEF1, pointing to a common possible cause of methylation in those genes. A subnetwork with alanine, glutamine, urea cycle (citrulline, arginine), and 1-carboxyethylvaline linked to PFKFB2 and TXNIP revealed associations with kidney function, hypertension and triglyceride metabolism. The pathway containing STYXL1-POR was associated with a sphingosine-ceramides subnetwork associated with HDL-C and LDL-C and point to steroid perturbations in T2D.
conclusionsThis study revealed several novel methylated genes in T2D, with their genomic variants and associated metabolic pathways with several implications for future clinical use of multi-omics associations in disease and for studying therapeutic targets.
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