Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Das, Swapan Kumar, Sharma, Neeraj Kumar, Zhang, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4351975/
https://www.ncbi.nlm.nih.gov/pubmed/25868721
http://dx.doi.org/10.1186/s12920-015-0078-0
_version_ 1782360387445850112
author Das, Swapan Kumar
Sharma, Neeraj Kumar
Zhang, Bin
author_facet Das, Swapan Kumar
Sharma, Neeraj Kumar
Zhang, Bin
author_sort Das, Swapan Kumar
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-015-0078-0) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4351975
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-43519752015-03-07 Integrative network analysis reveals different pathophysiological mechanisms of insulin resistance among Caucasians and African Americans Das, Swapan Kumar Sharma, Neeraj Kumar Zhang, Bin BMC Med Genomics Research Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-015-0078-0) contains supplementary material, which is available to authorized users. BioMed Central 2015-02-07 /pmc/articles/PMC4351975/ /pubmed/25868721 http://dx.doi.org/10.1186/s12920-015-0078-0 Text en © Das et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Das, Swapan Kumar
Sharma, Neeraj Kumar
Zhang, Bin
Integrative network analysis reveals different pathophysiological mechanisms of insulin resistance among Caucasians and African Americans
title Integrative network analysis reveals different pathophysiological mechanisms of insulin resistance among Caucasians and African Americans
title_full Integrative network analysis reveals different pathophysiological mechanisms of insulin resistance among Caucasians and African Americans
title_fullStr Integrative network analysis reveals different pathophysiological mechanisms of insulin resistance among Caucasians and African Americans
title_full_unstemmed Integrative network analysis reveals different pathophysiological mechanisms of insulin resistance among Caucasians and African Americans
title_short Integrative network analysis reveals different pathophysiological mechanisms of insulin resistance among Caucasians and African Americans
title_sort integrative network analysis reveals different pathophysiological mechanisms of insulin resistance among caucasians and african americans
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4351975/
https://www.ncbi.nlm.nih.gov/pubmed/25868721
http://dx.doi.org/10.1186/s12920-015-0078-0
work_keys_str_mv AT dasswapankumar integrativenetworkanalysisrevealsdifferentpathophysiologicalmechanismsofinsulinresistanceamongcaucasiansandafricanamericans
AT sharmaneerajkumar integrativenetworkanalysisrevealsdifferentpathophysiologicalmechanismsofinsulinresistanceamongcaucasiansandafricanamericans
AT zhangbin integrativenetworkanalysisrevealsdifferentpathophysiologicalmechanismsofinsulinresistanceamongcaucasiansandafricanamericans