Search bioRxivSearch

Biology subjects

wang, t.

Publications and source records attributed to wang, t..

2 recordsLinked to original sources

Celastrol directly inhibits PFKM to induce weight loss and leptin sensitization

Despite the prevalence of obesity and related health consequences around the globe, effective treatments for inducing healthy weight loss are still lacking. Celastrol is a pentacyclic triterpene that was recently identified as a potent anti-obesity agent. Celastrol increases sensitivity to leptin, but the molecular target of celastrol is unknown. Therefore, the mechanisms by which this agent exerts its anti-obesity effect remain elusive. Using tissue-specific ABPP (activity-based protein profiling), we found that PFKM, a rate-limiting enzyme for glycolysis in skeletal muscle, is a direct target of celastrol. Celastrol inhibited PFKM enzymatic activity, and Pfkm knockout mice were resistant to a high fat diet, were hypersensitive to exogenous leptin, and were unresponsive to celastrol. PFKM inhibition led to activation of AMPK and inactivation of ACC in cultured myotubes and mouse skeletal muscle. Specific loss of AMPK in muscle significantly attenuated the anti-obesity effects of celastrol. Further, PFKM inhibition and subsequent activation of the AMPK/ACC signaling pathway reduced levels of free fatty acids by switching energy expenditure and consequently decreasing levels of SOCS1 expression, which are both required for leptin sensitization in 293t/hLepRb cells and mice. Finally, using a high throughput compound screen we identified an alternative PFKM inhibitor, 3-79, which exhibits a strong anti-obesity effect and non-covalent binding capacity. This compound is a promising agent for treating obesity in the clinic.

physiology

Plasma microRNAs as predictive biomarkers of liver fibrosis and cirrhosis in patients with HBV-associated disease

Both pathogenesis and detection of liver fibrosis and early cirrhosis are elusive. Our study focused on role of microRNAs (miRNAs) as predictive biomarkers of liver fibrosis and early cirrhosis. Methods: We recruited patients with chronic hepatitis B background and divided them into three subgroups according to the pathological staging results: no liver fibrosis group (CHB 11, 12.0%), liver fibrosis group but without liver cirrhosis (LF 41, 44.6%), and early liver cirrhosis group (LC 40, 43.4%). Results: Levels of miR-122 in the CHB and LF group were significantly elevated compared with the LC group. Meanwhile, upregulation levels of miR-146a-5p, miR-29c-3p, miR-223 were seen in the CHB group versus LC. MiR-122-5p was best able to differentiate between patients with LC and without LC (area under the curve (AUC) 0.734). It can also distinguish patients with LF from those without LF (AUC 0.681). Panel including miR-122-5p miR-29c-3p and miR-381-3p resulted in an AUC of 0.700 in detection of LF. Meanwhile panel including miR-122-5p, miR-29c-3p, MiR-223 turned out to be good predictors, resulted in an AUC of 0.752 to discriminate LC in HBV-associated disease. HBV load, ALT and AST showed significant positive correlation with miR-122-5p and miR-381-3p. Conclusions: Our study explored changes of plasm miRNA levels in HBV-associated disease patients, constructed diagnostic miRNAs panel to predict liver fibrosis and early cirrhosis. Meanwhile In the process of liver fibrosis and cirrhosis, there are involving not only common pathway molecules, but also its specific pathway molecules.

molecular biology