Search

IntroductionPhenolic phytochemicals are known for antioxidant-mediated pharmacological effects in various diseases (diabetes, cancer, CVDs, obesity, inflammatory and neurodegenerative disorders). However, individual compounds may not exert the same biological potency as in combination with other phytochemicals. Cyamopsis tetragonoloba (Guar), an underutilized semi-arid legume which has been used as a traditional food in Rajasthan (India), is also a source of the important industrial product guar gum. However, studies on its biological activity, like antioxidant, are limited.MethodsWe tested the effect of C. tetragonoloba seed extract to enhance the antioxidant activity of well-known dietary flavonoids (quercetin, kaempferol, luteolin, myricetin, and catechin) and non-flavonoid phenolics (caffeic acid, ellagic acid, taxifolin, epigallocatechin gallate (EGCG), and chlorogenic acid) using DPPH radical scavenging assay. The most synergistic combination was further validated for its cytoprotective and anti-lipid peroxidative effects in in vitro cell culture system, at different concentrations of the extract. LC-MS analysis of purified guar extract was also performed.Results and discussionIn most cases, we observed synergy at lower concentrations of the seed extract (0.5-1 mg/ml). The extract concentration of 0.5 mg/ml enhanced the antioxidant activity of Epigallocatechin gallate (20 µg/ml) by 2.07-folds, implicating its potential to act as an antioxidant activity enhancer. This synergistic seed extract-EGCG combination diminished the oxidative stress nearly by double-fold when compared with individual phytochemical treatments in in vitro cell culture. LC-MS analysis of the purified guar extract revealed some previously unreported metabolites, including catechin hydrate, myricetin-3-galactoside, gossypetin-8-glucoside, and puerarin (daidzein-8-C-glucoside) which possibly explains its antioxidant enhancer effect. The outcomes of this study could be used for development of effective nutraceutical/dietary supplements.

Obesity is an abnormal fat accumulation disorder in the metabolic syndrome constellation, and a risk factor for diabetes, cardiovascular disorders, non-alcoholic fatty liver disease (NAFLD), and cancer. Nuclear receptors (Peroxisome proliferator-activated receptor, PPAR) are implicated in metabolic syndrome and NAFLD, and have potential for therapeutic targeting. Nuclear receptors are ligand-dependent transcription factors that have diverse roles in metabolism, including regulating genes involved in lipid and glucose metabolism, modulating inflammatory genes, and are crucial for maintaining metabolic flexibility. PPAR activates adipose triglyceride lipase, which then releases fatty acids as ligands for PPAR, indicating the interdependency of nuclear receptors and lipases. Here, molecular docking was performed with selected phytochemical ligands that can bind with PPAR-α/γ (PDB ID: 2ZNN and 2ATH, respectively) using Glide module of Schrodinger software followed by molecular dynamics simulation study using Desmond module, and ADMET analysis. Interestingly, orlistat which is a well-known lipase and fatty acid synthase inhibitor also demonstrated favorable binding affinity with both PPAR-α/γ (-10.96 kcal/mol against PPARα and -10.26 kcal/mol against PPARγ). The highest docking scores were however shown by the flavonoids - rutin (-14.88 kcal/mol against PPARα and -13.64 kcal/mol against PPARγ), and its aglycone, quercetin (-10.08 kcal/mol in PPARα and -9.89 kcal/mol in PPARγ). The other phytochemicals (genistein, esculin, daidzin, naringenin, daidzein, dihydroxy coumarin, hydroquinone) showed lower binding affinity as dual agonists. The anti-obesity effects were experimentally validated in cultured adipocytes, which revealed better lipid inhibition by rutin and quercetin than orlistat (quercetin rutin orlistat) pointing to their strong potential in anti-obesity treatment.

Advent of Demand Side Management (DSM) is an approach towards the “load demand follows the generation”, to create a flexible and resilient system supporting multidirectional flow of power where consumer acts as a crucial agent. Effective implementation of DSM needs an advanced ICT infrastructure and thorough knowledge of system loads. This paper provides a hardware prototype and customized software to establish two way communications between consumer and utility to keep the consumer cognizant about the load usage. It also helps the utility to create a baseline with which the DSM measures will be deployed. It provides an insight towards the consumers' awareness about their overall energy usage and the usage of the connected appliances at different time through a developed algorithm in MATLAB. The simulations of residential loads are performed using PSCAD/EMTDC software through which the variation in the load curves can be observed with the different combination of loads. Prediction of baseline in advance, together with the developed hardware and software helps to reduce the peak demand with the involvement of the consumers.