| Literature DB >> 27385318 |
M Amor1, V Moreno Viedma1, A Sarabi1, N G Grün1, B Itariu1, L Leitner1, I Steiner2, M Bilban3, K Kodama4, A J Butte4, G Staffler5, M Zeyda6, T M Stulnig1.
Abstract
Obesity is strongly associated with metabolic syndrome, a combination of risk factors that predispose to the development of the cardiometabolic diseases: atherosclerotic cardiovascular disease and type 2 diabetes mellitus. Prevention of metabolic syndrome requires novel interventions to address this health challenge. The objective of this study was the identification of candidate molecules for the prevention and treatment of insulin resistance and atherosclerosis, conditions that underlie type 2 diabetes mellitus and cardiovascular disease, respectively. We used an unbiased bioinformatics approach to identify molecules that are upregulated in both conditions by combining murine and human data from a microarray experiment and meta-analyses. We obtained a pool of eight genes that were upregulated in all the databases analysed. This included well known and novel molecules involved in the pathophysiology of type 2 diabetes mellitus and cardiovascular disease. Notably, matrix metalloproteinase 12 (MMP12) was highly ranked in all analyses and was therefore chosen for further investigation. Analyses of visceral and subcutaneous white adipose tissue from obese compared to lean mice and humans convincingly confirmed the up-regulation of MMP12 in obesity at mRNA, protein and activity levels. In conclusion, using this unbiased approach an interesting pool of candidate molecules was identified, all of which have potential as targets in the treatment and prevention of cardiometabolic diseases.Entities:
Keywords: Cardiovascular diseases; Diabetes Mellitus, Type 2; Insulin Resistance; Meta-Analysis; Metabolic Syndrome; Microarray Analysis
Year: 2016 PMID: 27385318 PMCID: PMC5072410 DOI: 10.2119/molmed.2016.00068
Source DB: PubMed Journal: Mol Med ISSN: 1076-1551 Impact factor: 6.354