Pre-Clinical Evidence for the Anti-Obesity Potential of Quercetin and Curcumin Loaded Chitosan/PEG Blended PLGA Nanoparticles

This research aimed to formulate quercetin (Qu) and curcumin (CUR)-loaded PLGA NPs coated with chitosan (CS) & PEG and to explore their therapeutic effect against obesity in rats. Qu and CUR nanostructures were prepared and characterized by Zetasizer and TEM. Then, the formulated nanoparticles and their free couterparts were employed for mitigation of obesity in female rats. The size of NPs was in nanometer range with an average size distribution 307.9 nm for Qu NPs and 322.5 nm for CUR NPs. The Qu NPs and CUR NPs were appeared in the TEM image containing core in which the Qu or CUR was localized and surrounded by the coat of PLGA-CS-PEG. The Qu NPs exhibited negative zeta potential at -8.5 mV, while, CUR NPs exhibited positive zeta potential at +0.916 mV. Treatment with orlistat, free Qu, Qu NPs, free CURor CUR NPs elicited significant decline in body weight, BMI and Lee index. Orlistat and CUR NPs significantly diminished liver, heart and visceral adipose tissue weights. Furthermore, the suggested treatments significantly reduced the gonadal and subcutaneous adipose tissue weights. Orlistat significantly lessened kidney and adrenal weights. All treatments significantly minimized serum Chol., TG, LDL, glucose, INS, HOMA-IR, LH, MDA, TLR4 and NF-κB levels and elevated serum HDL, E2 and TAC levels. Orlistat significantly enhanced serum IL-10 level. Conclusively, Qu and CUR nanoformulations offer anti-obesity potency through their hypolipidemic, hypoglycemic,antioxidative and anti-inflammatory effects. Both Qu and CUR NPs manifested superior effect than their free counterparts, may be because of solubility elevation as well as bioavailability of the nanoencapsulation.

Multipotent Stromal Cells from Subcutaneous Adipose Tissue of Normal Weight and Obese Subjects: Modulation of Their Adipogenic Differentiation by Adenosine A1 Receptor Ligands

Adenosine A1 receptor (A1R) activation, stimulating lipogenesis and decreasing insulin resistance, could be useful for metabolic syndrome management in obese subjects. Since full A1R agonists induce harmful side-effects, while partial agonists show a better pharmacological profile, we investigated the influence of two derivatives of the full A1R agonist 2-chloro-N6-cyclopentyladenosine (CCPA), C1 and C2 behaving as A1R partial agonists in animal models, on the adipogenic differentiation of stromal/stem cells (ASCs) from human subcutaneous adipose tissue, which mainly contribute to increase fat mass in obesity. The ASCs from normal-weight subjects showed increased proliferation and A1R expression but reduced adipogenic differentiation compared to obese individual-derived ASCs. Cell exposure to CCPA, C1, C2 or DPCPX, an A1R antagonist, did not affect ASC proliferation, while mainly C2 and DPCPX significantly decreased adipogenic differentiation of both ASC types, reducing the activity of glycerol-3-phosphate dehydrogenase and the expression of PPARγ and FABP-4, all adipogenic markers, and phosphorylation of Akt in the phosphatidylinositol-3-kinase pathway, which plays a key-role in adipogenesis. While requiring confirmation in in vivo models, our results suggest that A1R partial agonists or antagonists, by limiting ASC differentiation into adipocytes and, thereby, fat mass expansion, could favor development/worsening of metabolic syndrome in obese subjects without a dietary control.

Temperature Profiles During Cryolipolysis

Cryolipolysis is a noninvasive clinical procedure for the local reduction of adipose tissue. Paddles as cold as ~10 °C are placed in good thermal contact the epidermis. The goal is to cool the subcutaneous adipose tissue to ~10 °C, which induces apoptosis and an inflammatory response in the adipocytes. The dermis is, of course, cooler than the adipocytes, but the triglyceride in the adipocytes are thought to crystalize, causing apoptosis. The clinical procedure have been developed empirically. A mathematical model could aid in understanding the mechanisms of response and improving the design of the procedure. Here, the Pennes equation is used to model the temperature of the tissue during cooling. The two parameters identified are the thermal diffusivity of the tissue and a blood perfusion parameter, which also gives the characteristic length. Green's functions are used to solve the Pennes equation, which simplifies to a transient fin equation.