Phytochemical Profile, Antioxidant, Enzyme Inhibition, Acute Toxicity, In Silico Molecular Docking and Dynamic Analysis of Apis Mellifera Propolis as Antidiabetic Supplement.

This study aims to identify the phytochemical profile of Apis mellifera propolis and explore the potential of its anti-diabetic activity through inhibition of α-amylase (α-AE), α-glucosidase(α-GE), as well as novel antidiabetic compounds of propolis. Apis mellifera propolis extract (AMPE) exhibited elevated polyphenol 33.26±0.17 (mg GAE/g) and flavonoid (15.45±0.13 mg RE/g). It also indicated moderate strong antioxidant activity (IC50 793.09±1.94 µg/ml). This study found that AMPE displayed promising α-AE and α-GE inhibition through in vitro study. Based on LC-MS/MS screening, 18 unique AMPE compounds were identified, with majorly belonging to anthraquinone and flavonoid compounds. Furthermore, in silico study determined that 8 compounds of AMPE exhibited strong binding to α-AE that specifically interacted with its catalytic residue of ASP197. Moreover, 2 compounds exhibit potential inhibition of α-GE, by interacting with crucial amino acids of ARG315, ASP352, and ASP69. Finally, we suggested that 2,7-Dihydroxy-1-(p-hydroxybenzyl)-4-methoxy-9,10-dihydrophenanthrene and 3(3-(3,4-Dihydroxybenzyl)-7-hydroxychroman-4-one as novel inhibitors of α-AE and α-GE. Notably, these compounds were initially discovered from Apis mellifera propolis in this study. The molecular dynamic analysis confirmed their stable binding with both enzymes over 100 ns simulations. The in vivo acute toxicity assay reveals AMPE as a practically non-toxic product with an LD50 value of 16,050 mg/kg. Therefore, this propolis may serve as a promising natural product for diabetes mellitus treatment.

Andrographis paniculata (Burm. f.) Nees extract ameliorates insulin resistance in the insulin-resistant HepG2 cells via GLUT2/IRS-1 pathway.

Hyperglycaemia is one condition related to inflammation leading to insulin signalling impairment. This study was conducted to investigate the insulin sensitivity improvement of Sambiloto (Andrographis paniculata (Burm. f.)) Nees extract in insulin resistance-induced HepG2 (IR-HepG2) cells by stimulating insulin sensitivities and inhibiting inflammatory response. Sambiloto extract at 2 µg/mL revealed glucose uptake stimulation and up-regulating GLUT-2 and IRS-1 gene expression, and inhibited pro-inflammatory cytokine IL-6 gene expression in IR-HepG2 cells. Phytochemical analysis showed that the total phenolic level and andrografolide content of Sambiloto extract were 2.91 ± 0.04% and 1.95%, respectively. This result indicated that Sambiloto extract ameliorated insulin resistance in high glucose-induced IR-HepG2 cells via modulating the IRS-1/GLUT-2 pathway due to IL-6 inhibition. These findings suggested that Sambiloto extract had potency as an anti-inflammatory and insulin-resistance improvement in IR-HepG2 cells.

Immunoinformatics Study: Multi-Epitope Based Vaccine Design from SARS-CoV-2 Spike Glycoprotein.

The coronavirus disease 2019 outbreak has become a huge challenge in the human sector for the past two years. The coronavirus is capable of mutating at a higher rate than other viruses. Thus, an approach for creating an effective vaccine is still needed to induce antibodies against multiple variants with lower side effects. Currently, there is a lack of research on designing a multiepitope of the COVID-19 spike protein for the Indonesian population with comprehensive immunoinformatic analysis. Therefore, this study aimed to design a multiepitope-based vaccine for the Indonesian population using an immunoinformatic approach. This study was conducted using the SARS-CoV-2 spike glycoprotein sequences from Indonesia that were retrieved from the GISAID database. Three SARS-CoV-2 sequences, with IDs of EIJK-61453, UGM0002, and B.1.1.7 were selected. The CD8+ cytotoxic T-cell lymphocyte (CTL) epitope, CD4+ helper T lymphocyte (HTL) epitope, B-cell epitope, and IFN-γ production were predicted. After modeling the vaccines, molecular docking, molecular dynamics, in silico immune simulations, and plasmid vector design were performed. The designed vaccine is antigenic, non-allergenic, non-toxic, capable of inducing IFN-γ with a population reach of 86.29% in Indonesia, and has good stability during molecular dynamics and immune simulation. Hence, this vaccine model is recommended to be investigated for further study.