Rabbit anti-Human IRS1 polyclonal antibody

Estrogen deficiency in postmenopausal women is linked to the higher prevalence of obesity, type 2 diabetes and metabolic syndromes. Development of beige adipocytes (browning of WAT) increases energy expenditure and could be a promising strategy for obesity management. This study aimed to investigate the effects of phytoestrogen genistein (GEN) on white adipose tissue (WAT) inflammation, browning and hepatic lipogenesis in ovariectomized rats with high-fat diet (HFD) and further explore the underlying mechanism. Female Wistar rats received ovariectomy (Ovx) and HFD (45% fat) and then were administered with 17 beta-estradiol (E2, 3 times/week, subcutaneously) or GEN (15 mg/kg or 30 mg/kg, gavage, once daily) for 4 weeks. Administration of GEN decreased Ovx-induced body weight gain and adiposity and improved insulin sensitivity as well as increased insulin signaling p-IRS1 and p-AKT in retroperitoneal WAT. Adipocyte hypertrophy and production of proinflammatory cytokines MCP-1, TNF-alpha and IL-6 were reduced by GEN. It also suppressed the activation of NF-kappa B pathway evidenced by attenuation of p65 and phospho-I kappa B levels. Additionally, GEN elevated myokine irisin and promoted WAT browning by increasing UCP-1, PRDM-16, PGC-1 alpha and CIDEA proteins and Ppargc1a, Ucp-1 and Tbx-1 mRNA in inguinal WAT which is associated with up-regulation of nuclear estrogen receptor-alpha. Plasma levels of triglyceride and cholesterol were reduced by GEN treatment accompanied with inhibition of lipogenic proteins (p-ACC, SREBP-1, FAS and CD36) in the liver. Long-term treatment with GEN attenuated estrogen-deficiency-induced obesity, WAT inflammation and hepatic lipogenesis and promoted the induction of WAT browning. It may provide a promising approach to prevent obesity during menopause. (C) 2019 Elsevier Inc. All rights reserved.

Objective: Obesity and type 2 diabetes (T2D) arise from the interplay between genetic, epigenetic, and environmental factors. The aim of this study was to combine bioinformatics and functional studies to identify miRNAs that contribute to obesity and T2D. Methods: A computational framework (miR-QTL-Scan) was applied by combining QTL, miRNA prediction, and transcriptomics in order to enhance the power for the discovery of miRNAs as regulative elements. Expression of several miRNAs was analyzed in human adipose tissue and blood cells and miR-31 was manipulated in a human fat cell line. Results: In 17 partially overlapping QTL for obesity and T2D 170 miRNAs were identified. Four miRNAs (miR-15b, miR-30b, miR-31, miR-744) were recognized in gWAT (gonadal white adipose tissue) and six (miR-491, miR-455, miR-423-5p, miR-132-3p, miR-365-3p, miR-30b) in BAT (brown adipose tissue). To provide direct functional evidence for the achievement of the miR-QTL-Scan, miR-31 located in the obesity QTL Nob6 was experimentally analyzed. Its expression was higher in gWAT of obese and diabetic mice and humans than of lean controls. Accordingly, 10 potential target genes involved in insulin signaling and adipogenesis were suppressed. Manipulation of miR-31 in human SGBS adipocytes affected the expression of GLUT4, PPARg, IRS1, and ACACA. In human peripheral blood mononuclear cells (PBMC) miR-15b levels were correlated to baseline blood glucose concentrations and might be an indicator for diabetes. Conclusion: Thus, miR-QTL-Scan allowed the identification of novel miRNAs relevant for obesity and T2D. (C) 2018 The Authors. Published by Elsevier GmbH.