Integrative network analysis reveals different pathophysiological mechanisms of insulin resistance among Caucasians and African Americans

Background African Americans (AA) have more pronounced insulin resistance and higher insulin secretion than European Americans (Caucasians or CA) when matched for age, gender, and body mass index (BMI). We hypothesize that physiological differences (including insulin sensitivity [S I ]) between CAs...

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Vydáno v:BMC medical genomics Ročník 8; číslo 1; s. 4
Hlavní autoři: Das, Swapan Kumar, Sharma, Neeraj Kumar, Zhang, Bin
Médium: Journal Article
Jazyk:angličtina
Vydáno: London BioMed Central 07.02.2015
BioMed Central Ltd
Témata:
Adult
African Americans
African Continental Ancestry Group
Analysis
Bioinformatic and algorithmical studies
Biomedical and Life Sciences
Biomedicine
Biopsy
Body Mass Index
Computational Biology - methods
European Continental Ancestry Group
Female
Gene Expression
Gene Expression Profiling
Gene Expression Regulation
Genes
Genetic transcription
Glucose - metabolism
Health aspects
Homeostasis
Human Genetics
Humans
Insulin - metabolism
Insulin Resistance
Integrins
Male
Microarrays
Middle Aged
Obesity - ethnology
Obesity - metabolism
Research Article
Subcutaneous Fat - metabolism
Subcutaneous Fat - pathology
Transcriptome
Type 2 diabetes
Virus diseases
Young Adult
Obesity
Transcript
Adipose tissue
Ethnic disparity
Caucasian
Insulin resistance
Integrative genomics
Co-expression network
African American
ISSN:1755-8794, 1755-8794
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Shrnutí:Background African Americans (AA) have more pronounced insulin resistance and higher insulin secretion than European Americans (Caucasians or CA) when matched for age, gender, and body mass index (BMI). We hypothesize that physiological differences (including insulin sensitivity [S I ]) between CAs and AAs can be explained by co-regulated gene networks in tissues involved in glucose homeostasis. Methods We performed integrative gene network analyses of transcriptomic data in subcutaneous adipose tissue of 99 CA and 37 AA subjects metabolically characterized as non-diabetic, with a range of S I and BMI values. Results Transcripts negatively correlated with S I in only the CA or AA subjects were enriched for inflammatory response genes and integrin-signaling genes, respectively. A sub-network (module) with TYROBP as a hub enriched for genes involved in inflammatory response (corrected p = 1.7E-26) was negatively correlated with S I (r = −0.426, p = 4.95E-04) in CA subjects. S I was positively correlated with transcript modules enriched for mitochondrial metabolism in both groups. Several S I -associated co-expressed modules were enriched for genes differentially expressed between groups. Two modules involved in immune response to viral infections and function of adherens junction, are significantly correlated with S I only in CAs. Five modules involved in drug/intracellular transport and oxidoreductase activity, among other activities, are correlated with S I only in AAs. Furthermore, we identified driver genes of these race-specific S I -associated modules. Conclusions S I -associated transcriptional networks that were deranged predominantly in one ethnic group may explain the distinctive physiological features of glucose homeostasis among AA subjects.
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ISSN:1755-8794
1755-8794
DOI:10.1186/s12920-015-0078-0