A Novel Partial PPARγ Agonist Has Weaker Lipogenic Effect in Adipocytes and Stimulates GLUT4 Translocation in Skeletal Muscle Cells via AMPK-Dependent Signaling.

INTRODUCTION: Peroxisome proliferator-activated receptor gamma (PPARγ) agonists are highly effective in treating insulin resistance. However, associated side effects such as weight gain due to increase in adipogenesis and lipogenesis hinder their clinical use. The aim of the study was to design and synthesize novel partial PPARγ agonists with weaker lipogenic effect in adipocytes and enhanced glucose transporter 4 (GLUT4) translocation stimulatory effect in skeletal muscle cells. METHODS: Novel partial PPARγ agonists (GS1, GS2, and GS3) were designed and screened to predict their binding interactions with PPARγ by molecular docking. The stability of the docked ligand-PPARγ complex was studied by molecular dynamics (MD) simulation. The cytotoxicity of synthesized compounds was tested in 3T3-L1 adipocytes and L6 myoblasts by MTT assay. The lipogenic effect was investigated in 3T3-L1 adipocytes using oil red O staining and GLUT4 translocation stimulatory effect in L6-GLUT4myc myotubes by an antibody-coupled colorimetric assay. RESULTS: The molecular docking showed the binding interactions between designed agonists and PPARγ. MD simulation demonstrated good stability between the GS2-PPARγ complex. GS2 and GS3 did not show any significant effect on cell viability up to 80 or 100 µM concentration. Pioglitazone treatment significantly increased intracellular lipid accumulation in adipocytes compared to control. However, this effect was significantly less in GS2- and GS3-treated conditions compared to pioglitazone at 10 µM concentration, indicating weaker lipogenic effect. Furthermore, GS2 significantly stimulated GLUT4 translocation to the plasma membrane in a dose-dependent manner via the AMPK-dependent signaling pathway in skeletal muscle cells. CONCLUSION: GS2 may be a promising therapeutic agent for the treatment of insulin resistance and type 2 diabetes mellitus without adiposity.

FISH and HER2/neu equivocal immunohistochemistry in breast carcinoma.

AIM: The aim of this study was to validate the role of fluorescence in situ hybridization (FISH) in investigating HER2/neu gene amplification (human epidermal growth factor receptor 2) in patients with HER2/neu equivocal breast cancer diagnosed on immunohistochemistry (IHC). MATERIALS AND METHODS: This was a retrospective study conducted from January 2013 to October 2017. A total of 134 patients diagnosed with invasive breast carcinoma and HER2/neu equivocal status on IHC were analyzed. Also, the cases for the years 2016 and 2017 formed a subgroup that was analyzed further to study the impact of pre-analytical factors on IHC and FISH results. RESULTS: A total of 134 women with HER2/neu IHC equivocal breast cancer were included in the study with a median age of 50 years (range 25-81). HER2/neu amplification by FISH was noted in 72 (54%) cases, whereas it was non-amplified in 52 (39%) cases. Ten cases were reported as equivocal even on FISH (ASCO/CAP 2013 guidelines). Polysomy 17 was noted in 55 cases (41%), of which 26 patients were≤50 years and 29 patients were >50 years of age. Twenty (36%) of these 55 cases showed HER2/neu amplification, whereas 26 (48%) cases were non-amplified and 9 (16%) cases were reported as equivocal on FISH. Also, more than half of the polysomy cases were hormone receptor negative. CONCLUSION: IHC is a good screening tool for negative and positive results. Any patient targeted for trastuzumab therapy should undergo confirmation of HER2/neu equivocal status by FISH analysis. We also suggest that if a non-classical FISH pattern is seen, the test should be repeated with a non-centromeric chromosome 17 reference locus probe for better treatment planning.

Predicting anti-cancer activity of quinoline derivatives: CoMFA and CoMSIA approach.

The 3D quantitative structure-activity relationships of 31 quinoline nuclei containing compounds and their biological activity have been investigated to establish various models. The comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) studies resulted in reliable and significant computational models. The obtained CoMFA model showed high predictive ability with q(2) = 0.592, r(2) = 0.966 and standard error of estimation (SEE) = 0.167, explaining majority of the variance in the data with two principal components. Predictions obtained with CoMSIA steric, electrostatic, hydrophobic, hydrogen-bond acceptor and donor fields (q(2) = 0.533, r(2) = 0.985) showed high prediction ability with minimum SEE (0.111) and four principal components. The information obtained from the CoMFA and CoMSIA contour maps can be utilized for the design and development of topoisomerase-II inhibitors for synthesis.