Analysis of In Vitro Insulin-Resistance Models and Their Physiological Relevance to In Vivo Diet-Induced Adipose Insulin Resistance

• Main Authors: Lo, Kinyui Alice (Contributor), Labadorf, Adam (Contributor), Kennedy, Norman J (Author), Han, Myoung Sook (Author), Yap, Yoon Sing (Author), Matthews, Bryan (Contributor), Xin, Xiaofeng (Contributor), Sun, Lei (Author), Davis, Roger J (Author), Lodish, Harvey F. (Contributor), Fraenkel, Ernest (Contributor)
• Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Department of Biology (Contributor), Whitehead Institute for Biomedical Research (Contributor), Yap, Yoon Sing (Contributor)
• Format: Article
• Language: English
• Published: Elsevier, 2014-10-02T18:58:25Z.
• Subjects: Article
• Online Access: Get fulltext

Diet-induced obesity (DIO) predisposes individuals to insulin resistance, and adipose tissue has a major role in the disease. Insulin resistance can be induced in cultured adipocytes by a variety of treatments, but what aspects of the in vivo responses are captured by these models remains unknown. We use global RNA sequencing to investigate changes induced by TNF-α, hypoxia, dexamethasone, high insulin, and a combination of TNF-α and hypoxia, comparing the results to the changes in white adipose tissue from DIO mice. We found that different in vitro models capture distinct features of DIO adipose insulin resistance, and a combined treatment of TNF-α and hypoxia is most able to mimic the in vivo changes. Using genome-wide DNase I hypersensitivity followed by sequencing, we further examined the transcriptional regulation of TNF-α-induced insulin resistance, and we found that C/EPBβ is a potential key regulator of adipose insulin resistance.
National Institutes of Health (U.S.) (Grant DK-068348)
National Institutes of Health (U.S.) (Grant R24 DK-090963)
National Institutes of Health (U.S.) (Grant R01GM-089903)