Inhibiting Glycogen Synthase Kinase 3 Reverses Obesity-Induced White Adipose Tissue Inflammation by Regulating Apoptosis Inhibitor of Macrophage/CD5L-Mediated Macrophage Migration
ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY
Authors: Wang, Li; Wang, Yuan; Zhang, Chao; Li, Jingjing; Meng, Yuan; Dou, Man; Noguchi, Constance Tom; Di, Lijun
Abstract
Objective Obesity-induced inflammation in white adipose tissue, characterized by increased macrophage infiltration and associated with macrophage population shift from anti-inflammatory M2 to proinflammatory M1 macrophages, largely contributes to obesity-induced insulin resistance and influences type 2 diabetes mellitus pathogenesis. GSK3 (glycogen synthase kinase 3), a serine/threonine kinase, has been reported to participate in various cellular processes. We sought to examine the potential mechanism by which GSK3, a serine/threonine kinase implicated in various cellular processes, modulates obesity-induced visceral adipose tissue (VAT) inflammation. Approach and Results Male C57BL/6J mice were fed a high-fat diet for 10 weeks while being treated with vehicle control or GSK3 inhibitors SB216763 or CHIR99021. RNA-sequencing results using VAT demonstrated that GSK3 inhibitor treatment reversed obesity-specific expression of genes associated with inflammation. Consistently, GSK3 inhibition reduced obesity-induced VAT inflammation as characterized by decreased proinflammatory M1 macrophages but increased anti-inflammatory M2 macrophages in the VAT and reduced circulatory inflammatory monocytes. These anti-inflammatory effects of GSK3 inhibition were found to be driven, at least in part, by inhibiting production of apoptosis inhibitor of macrophage in macrophages via inactivating STAT3 to reduce free fatty acid and chemokine level produced from VAT to suppress the migration/chemotaxis of macrophages and monocytes. Conclusions Our findings suggest that GSK3 may act as an important regulator of obesity-induced inflammation and characterize the novel role of GSK3 in shifting macrophage polarization and reinforce its therapeutic potential for obesity-induced inflammation and its associated diabetes mellitus.
Sex Differences in Serum Markers of Major Depressive Disorder in the Netherlands Study of Depression and Anxiety (NESDA)
PLOS ONE
Authors: Ramsey, Jordan M.; Cooper, Jason D.; Bot, Mariska; Guest, Paul C.; Lamers, Femke; Weickert, Cynthia S.; Penninx, Brenda W. J. H.; Bahn, Sabine
Abstract
Women have a consistently higher prevalence of major depressive disorder (MDD) than men. Hypotheses implicating hypothalamic-pituitary -adrenal, -gonadal, and -thyroid axes, immune response, genetic factors, and neurotransmitters have emerged to explain this difference. However, more evidence for these hypotheses is needed and new explanations must be explored. Here, we investigated sex differences in MDD markers using multiplex immunoassay measurements of 171 serum molecules in individuals enrolled in the Netherlands Study of Depression and Anxiety (N-MDD = 231; N-control = 365). We found 28 sex-dependent markers of MDD, as quantified by a significant interaction between sex and log(2-)transformed analyte concentration in a logistic regression with diagnosis (MDD/control) as the outcome variable (p < 0.05; q < 0.30). Among these were a number of male-specific associations between MDD and elevated levels of proteins involved in immune response, including C-reactive protein, trefoil factor 3, cystatin-C, fetuin-A, beta 2-microglobulin, CD5L, FASLG receptor, and tumor necrosis factor receptor 2. Furthermore, only male MDD could be classified with an accuracy greater than chance using the measured serum analytes (area under the ROC curve = 0.63). These findings may have consequences for the generalization of inflammatory hypotheses of depression to males and females and have important implications for the development of diagnostic biomarker tests for MDD. More studies are needed to validate these results, investigate a broader range of biological pathways, and integrate this data with brain imaging, genetic, and other relevant data.