Biological Systems: Open Access

ISSN - 2329-6577


Comparative network analysis of insulin resistance in caucasian and african americans

3rd International Conference on Integrative Biology

August 04-06, 2015 Valencia, Spain

Bin Zhang, Swapan Kumar Das and Neeraj Kumar Sharma

Scientific Tracks Abstracts: Biol Syst Open Access

Abstract :

African Americans (AA) have more pronounced insulin resistance and higher insulin secretion than European Americans (Caucasians or CA) matched on age, gender, and body mass index (BMI). However, molecular mechanisms underlying distinguished insulin resistance in AA remains unknown. In this study, we performed integrative network analysis the gene expression data from the subcutaneous adipose tissue of 99 CA and 37 AA metabolically characterized non-diabetic subjects with a range of insulin sensitivity (SI) and BMI values. We systematically identified the common and ethnicity-specific coexpressed gene modules and drivers. Many adipose co-expression modules were enriched for genes differentially expressed between the two ethnicities or with differential connectivity (MDC) among members of the network module. For example, SI is positive correlated with transcript modules enriched for mitochondrial metabolism in both groups. Several SI associated co-expressed modules are enriched for genes differentially expressed between groups, or had different modular connectivity among members of the network module. SI-associated transcriptional networks that were deranged predominantly in one ethnic group may explain the physiological features of glucose homeostasis among AA subjects. This study paves a way for systematically understanding the molecular mechanisms of insulin resistance in both CAs and AAs. Further studies will be required to identify how genetic and epigenetic factors determine the structure of co-expression networks in adipose tissue that modulate glucose-homeostasis and related physiological traits.

Biography :

Bin Zhang is an Associate Professor of the Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, USA. He holds a PhD and a Masters degree in Computer Science from the State University of New York at Buffalo, a Masters degree in electronic Engineering from Tsinghua University, China, and a Bachelor's degree in Electrical Engineering from Tongji University, China. His expertise lies in systems biology. He has published 86 peerreviewed papers including 9 papers in Nature, Science, Cell, Nature Genetics, and PNAS. As of April 2015, his publications have been cited 7131 times.