Unknown,Transcriptomics,Genomics,Proteomics

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Differential blood biomarkers and PBMC transcriptome profiles in normal-weight and obese individuals

ABSTRACT: The aim of study was to investigate correlation bewteen peripheral blood mononuclear cell (PBMC) transcriptome profiles and plasma lipid profiles of Korean adult with varying BMI. In Korean, BMI cut-off points are 18.5~22.9 kg/m2 (normal range), M-bM-^IM-% 23 kg/m2 (overweight), M-bM-^IM-% 25 kg/m2 (obese), M-bM-^IM-% 30 kg/m2 (severely obese). Thus, the obese group was subdivided into mildly obese (BMI 25~27 kg/m2, OA) and highly obese (BMI 27~30 kg/m2, OB). This study indicates that lipid, glucose and inflammation metabolism-related gene expressions were altered according to cahnge of varing phenotype biomarkers such as BMI, plasma total-C, TG, FFA and HDL-C. Thus, blood biomarkers and PBMC gene expression profiles identified in this study may be useful as indicative biomarkers for obese susceptibility in Korean adult as well as response to various intervention for treating obesity. Total RNA of PBMCs was obtained from normal weight, obese person and mRNA expression was measured.

ORGANISM(S): Homo sapiens

SUBMITTER: Seo Yu-Ri

PROVIDER: E-GEOD-55205 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Background Obesity is associated with changes in fat cell gene expression and metabolism. What drives these changes is not well understood. We aimed to explore fat cell epigenetics, i.e., DNA methylation, as one mediator of gene regulation, in obese women. The global DNA methylome for abdominal subcutaneous fat cells was compared between 15 obese case (BMI 41.4 ± 4.4 kg/m 2 , mean ± SD) and 14 never-obese control women (BMI 25.2 ± 2.5 kg/m 2 ). Global array-based transcriptome analysis was analyzed for subcutaneous white adipose tissue (WAT) from 11 obese and 9 never-obese women. Limma was used for statistical analysis. Results We identified 5529 differentially methylated DNA sites (DMS) for 2223 differentially expressed genes between obese cases and never-obese controls (false discovery rate <5 %). The 5529 DMS displayed a median difference in beta value of 0.09 (range 0.01 to 0.40) between groups. DMS were under-represented in CpG islands and in promoter regions, and over-represented in open sea-regions and gene bodies. The 2223 differentially expressed genes with DMS were over-represented in key fat cell pathways: 31 of 130 (25 %) genes linked to “adipogenesis” (adjusted P = 1.66 × 10 −11 ), 31 of 163 (19 %) genes linked to “insulin signaling” (adjusted P = 1.91 × 10 −9 ), and 18 of 67 (27 %) of genes linked to “lipolysis” (P = 6.1 × 10 −5 ). In most cases, gene expression and DMS displayed reciprocal changes in obese women. Furthermore, among 99 candidate genes in genetic loci associated with body fat distribution in genome-wide association studies (GWAS); 22 genes displayed differential expression accompanied by DMS in obese versus never-obese women (P = 0.0002), supporting the notion that a significant proportion of gene loci linked to fat distribution are epigenetically regulated. Conclusions Subcutaneous WAT from obese women is characterized by congruent changes in DNA methylation and expression of genes linked to generation, distribution, and metabolic function of fat cells. These alterations may contribute to obesity-associated metabolic disturbances such as insulin resistance in women. The global DNA methylome in abdominal subcutaneous fat cells was compared between 15 obese cases (BMI 41.4±4.4 kg/m2, mean ± SD) and 14 never-obese control women (BMI 25.2±2.5 kg/m2).

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Differential blood biomarkers and PBMC transcriptome profiles in normal-weight and obese individuals

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