Evaluation of antidiabetic activity of dietary phenolic compound chlorogenic acid in streptozotocin induced diabetic rats: Molecular docking, molecular dynamics, in silico toxicity, in vitro and in vivo studies.

BACKGROUND: Chlorogenic acid is amongst the well-known polyphenolic compounds being used in human food and beverages. Its presence has been reported in tea leaves, roasted green beans, coffee, cocoa, berry fruits, apples, citrus fruits, and pears. OBJECTIVE: The present study aims to elucidate the effectiveness of chlorogenic acid on in silico and in vitro inhibition of glucose metabolising enzymes (α-amylase and α-glucosidase) and on blood-based markers associated with diabetic complications in vivo. METHODS: Docking and molecular dynamics studies were performed using GLIDE (Schrodinger, LLC, NY, 2019-2) and Maestro-Desmond Interoperability Tools, version 4.1 (Schrödinger, NY, 2015), respectively. α-Amylase and α-glucosidase inhibitory activities of chlorogenic acid were measured in vitro. Diabetes was induced in adult Wistar rats by injecting streptozotocin (50 mg/kg). Biochemical assays were performed using standard kits. RESULT: The in silico studies for α-amylase and α-glucosidase with chlorogenic acid suggested that the ligand was stable and strongly bound with the above-mentioned proteins. During in vitro studies, chlorogenic acid inhibited both the enzymes in a dose-dependent manner (5-30 µg/mL). In addition, chlorogenic acid treatment for 28 days significantly suppressed the increase in blood glucose, total cholesterol, triglyceride, glutamic oxaloacetic transaminase, glutamic pyruvic transaminase, γ-glutamyl transferase, alkaline phosphatase, total bilirubin, creatinine, urea, uric acid, and feed intake levels in diabetic rats. Chlorogenic acid also caused significant improvement in body weight, serum HDL-cholesterol, total protein, and albumin levels leading to betterment in atherogenic indices related to diabetes-associated cardiovascular risks. CONCLUSION: The findings indicated that chlorogenic acid inhibited α-amylase and α-glucosidase and significantly decreased diabetes associated hyperglycemia, hyperlipidemia, and hepatorenal damage, making it a possible functional food ingredient and drug candidate for the management of diabetes and related complications.

Insights into interplay of immunopathophysiological events and molecular mechanistic cascades in psoriasis and its associated comorbidities.

Psoriasis is an inflammatory skin disease with complex pathogenesis and multiple etiological factors. Besides the essential role of autoreactive T cells and constellation of cytokines, the discovery of IL-23/Th17 axis as a central signaling pathway has unraveled the mechanism of accelerated inflammation in psoriasis. This has provided insights into psoriasis pathogenesis and revolutionized the development of effective biological therapies. Moreover, genome-wide association studies have identified several candidate genes and susceptibility loci associated with this disease. Although involvement of cellular innate and adaptive immune responses and dysregulation of immune cells have been implicated in psoriasis initiation and maintenance, there is still a lack of unifying mechanism for understanding the pathogenesis of this disease. Emerging evidence suggests that psoriasis is a high-mortality disease with additional burden of comorbidities, which adversely affects the treatment response and overall quality of life of patients. Furthermore, changing trends of psoriasis-associated comorbidities and shared patterns of genetic susceptibility, risk factors and pathophysiological mechanisms manifest psoriasis as a multifactorial systemic disease. This review highlights the recent progress in understanding the crucial role of different immune cells, proinflammatory cytokines and microRNAs in psoriasis pathogenesis. In addition, we comprehensively discuss the involvement of various complex signaling pathways and their interplay with immune cell markers to comprehend the underlying pathophysiological mechanism, which may lead to exploration of new therapeutic targets and development of novel treatment strategies to reduce the disastrous nature of psoriasis and associated comorbidities.

Extrapolation of phenolic compounds as multi-target agents against cancer and inflammation.

Natural products acquire massive structural and chemical diversity, which cannot be coordinated by any synthetic libraries for small molecules and they are continuing to inspire novel discoveries in health sciences. We have performed the computational calculations for geometry optimization and prediction of electronic and structural properties of some plant phenolic compounds through Gaussian 09 program. Energies of molecular orbitals were computed, to mimic out the stabilities arising from charge delocalization and intramolecular interactions. This process indicated the eventual charge transfer within the molecules. The molecular docking and ADMET properties of these compounds with a novel anticancer (HER2) and anti-inflammatory (COX-2) targets revealed that two molecules were capable of inhibiting both the targets, and could be used as multi target inhibitors. Furthermore, molecular dynamics simulation studies were performed to elucidate the binding mechanism and the comparison of inhibitor's binding mode with diverse biological activities as anticancer and anti-inflammatory agents. A high-quality association was reported among quantum chemical, ADMET, docking, dynamics and MMGBSA results. Communicated By Ramaswamy H. Sarma.