Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern study

BMC Medicine

Research Article

Omar M. E. Albagha¹  Steven C. Hunt²  Noha A. Yousri³ 

[1] College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar;Genetic Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar;Genetic Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar;College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar;Computer and Systems Engineering, Alexandria University, Alexandria, Egypt;

关键词: Epigenetics;    DNA methylation;    Type 2 diabetes;    Methylation quantitative trait loci;    Whole genome sequence;    Metabolomics;    Qatar BioBank;    Qatar Genome Project;    Multiomics;    Omics Networks;    Pathways;   

DOI  :  10.1186/s12916-023-03027-x

 received in 2023-01-10, accepted in 2023-08-09,  发布年份 2023

来源: Springer

【 摘 要 】

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.

【 授权许可】

CC BY   
© BioMed Central Ltd., part of Springer Nature 2023

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