Diet-induced Obesity: Pathophysiology, Consequences and Target Specific Therapeutic Strategies.

Diet has emerged as a pivotal factor in the current time for diet-induced obesity (DIO). A diet overloaded with fats and carbohydrates and unhealthy dietary habits contribute to the development of DIO through several mechanisms. The prominent ones include the transition of normal gut microbiota to obese microbiota, under-expression of AMPK, and abnormally high levels of adipogenesis. DIO is the root of many diseases. The present review deals with various aspects of DIO and its target proteins that can be specifically used for its treatment. Also, the currently available treatment strategies have been explored. It was found that the expression of five proteins, namely, PPARγ, FTO, CDK4, 14-3-3 ζ protein, and Galectin-1, is upregulated in DIO. They can be used as potential targets for drug-designing studies. Thus, with these targets, the treatment strategy for DIO using natural bioactive compounds can be a safer alternative to medications and bariatric surgeries.

Cu(II) removal using green adsorbents: kinetic modeling and plant scale-up design.

Cu(II) adsorption in continuous column using green adsorbents like peanut and almond shell was investigated. Fourier transform infrared (FTIR) spectroscopy, Brunaer-Emmett-Teller (BET) analysis, scanning electron microscopy (SEM), and Point of Zero charge (pHpzc) determination have been used for characterization of the adsorbents. Experiments were conducted at various operating conditions to calculate the adsorption capacity of the adsorbents. Adsorption studies signify that both the adsorbents have good adsorptive capacity for Cu(II) ion. Equilibrium of adsorption was described using Langmuir isotherm and the highest qmax value for both the adsorbent were obtained at an operating condition of 20 ml/min flow rate, 15 mg/L influent Cu(II) concentration, and 7 cm bed depth. Regeneration of both the adsorbents suggests that these adsorbents can be used several times for Cu(II) removal. Seven different kinetic models were tested among which the modified dose response model was fitted well for peanut shell and the Thomas model was fitted well for almond shell. These fitted models were further used for scale-up design. Regeneration studies show that peanut shell and almond shell are useful up to the fifth adsorption cycle. Application of these adsorbents with industrial effluent was also reported. This study reveals that peanut and almond shells can be used for Cu(II) removal for industrial wastewater.

Quantitation of low abundant soluble biomarkers using high sensitivity Single Molecule Counting technology.

Quantitation of biomarkers in biofluids plays a central role in basic research to management of patient care and is routinely used in clinical laboratories and academic institutions. Standard immunoassays, such as an enzyme-linked immunosorbent assay (ELISA), have provided understanding of both normal and pathological processes for many decades. However, in more recent decades, new immunoassay technologies have uncovered numerous analytes in blood that were once undetectable using traditional ELISAs. To meet this new challenge for quantifying low abundant proteins in biofluids, Single Molecule Counting (SMC™) technology was developed. This new technology is a combination of improvements to both the immunoassay procedure as well as the instrument. The aim of this article is to introduce the new SMCxPRO™ instrument, xPRO Acquisition and Analysis software, and the high sensitivity immunoassay kits validated on this instrument for the detection of low abundant proteins in biofluids, such as serum and plasma. Using this new technology platform, biomarkers that were once unquantifiable can now be quantitated in both normal and diseased biofluids.

Comparative study of adsorptive removal of Cr(VI) ion from aqueous solution in fixed bed column by peanut shell and almond shell using empirical models and ANN.

Cr(VI) is a toxic water pollutant, which causes cancer and mutation in living organisms. Adsorption has become the most preferred method for removal of Cr(VI) due to its high efficiency and low cost. Peanut and almond shells were used as adsorbents in downflow fixed bed continuous column operation for Cr(VI) removal. The experiments were carried out to scrutinise the adsorptive capacity of the peanut shells and almond shells, as well as to find out the effect of various operating parameters such as column bed depth (5-10 cm), influent flow rate (10-22 ml min-1) and influent Cr(VI) concentration (10-20 mg L-1) on the Cr(VI) removal. The fixed bed column operation for Cr(VI) adsorption the equilibrium was illustrated by Langmuir isotherm. Different well-known mathematical models were applied to the experimental data to identify the best-fitted model to explain the bed dynamics. Prediction of the bed dynamics by Yan et al. model was found to be satisfactory. Applicability of artificial neural network (ANN) modelling is also reported. An ANN modelling of multilayer perceptron with gradient descent and Levenberg-Marquardt algorithms have also been tried to predict the percentage removal of Cr(VI). This study indicates that these adsorbents have an excellent potential and are useful for water treatment particularly small- and medium-sized industries of third world countries. Almond shell represents better adsorptive capacity as breakthrough time and exhaustion time are longer in comparison to peanut shell.