Literature DB >> 26151086

Compensatory Islet Response to Insulin Resistance Revealed by Quantitative Proteomics.

Abdelfattah El Ouaamari1, Jian-Ying Zhou2, Chong Wee Liew3, Jun Shirakawa1, Ercument Dirice1, Nicholas Gedeon1, Sevim Kahraman1, Dario F De Jesus1, Shweta Bhatt1, Jong-Seo Kim2, Therese Rw Clauss2, David G Camp2, Richard D Smith2, Wei-Jun Qian2, Rohit N Kulkarni1.   

Abstract

Compensatory islet response is a distinct feature of the prediabetic insulin-resistant state in humans and rodents. To identify alterations in the islet proteome that characterize the adaptive response, we analyzed islets from 5 month old male control, high-fat diet fed (HFD), or obese ob/ob mice by LC-MS/MS and quantified ~1100 islet proteins (at least two peptides) with a false discovery rate < 1%. Significant alterations in abundance were observed for ~350 proteins among groups. The majority of alterations were common to both models, and the changes of a subset of ~40 proteins and 12 proteins were verified by targeted quantification using selected reaction monitoring and western blots, respectively. The insulin-resistant islets in both groups exhibited reduced expression of proteins controlling energy metabolism, oxidative phosphorylation, hormone processing, and secretory pathways. Conversely, an increased expression of molecules involved in protein synthesis and folding suggested effects in endoplasmic reticulum stress response, cell survival, and proliferation in both insulin-resistant models. In summary, we report a unique comparison of the islet proteome that is focused on the compensatory response in two insulin-resistant rodent models that are not overtly diabetic. These data provide a valuable resource of candidate proteins to the scientific community to undertake further studies aimed at enhancing β-cell mass in patients with diabetes. The data are available via the MassIVE repository, under accession no. MSV000079093.

Entities:  

Keywords:  Insulin resistance; function; metabolism; pancreatic islets; proliferation; proteome

Mesh:

Substances:

Year:  2015        PMID: 26151086      PMCID: PMC4615688          DOI: 10.1021/acs.jproteome.5b00587

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  72 in total

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