Biology subjects

Prabhu, D.

Publications and source records attributed to Prabhu, D..

3 recordsLinked to original sources

bioRxiv2025

Role of GLP1-receptor-mediated α-β-cell communication in functional β-cell heterogeneity.

While islet {beta}-cells were first viewed as a singular functional entity, since the 1970s findings reveal that individual {beta}-cells differ in their insulin secretion. More recently distinct functional subpopulations based on differential calcium dynamics have been demonstrated to drive islet function. Here, we investigate how paracrine signaling, specifically glucagon-like peptide receptor (GLP-1R)-mediated -{beta}-cell communication shapes functional {beta}-cell heterogeneity. To address this, we utilized confocal imaging of calcium responses in isolated islets from GCaMP6s mice and in islets from pancreatic slices of C57BL/6 mice, both before and after a GLP-1R antagonist (exendin-9) treatment. Inhibiting -{beta}-cell communication prolonged response time, increased 1st phase heterogeneity, and decreased the 1st phase response peak. Additionally, it reduced 2nd phase oscillation frequency and heterogeneity, thereby enhancing 2nd phase coordination across {beta}-cells. These changes were more pronounced in -neighboring {beta}-cells. Moreover, addition of exendin-9 disrupted the temporal consistency and -cell proximity of hub-cells and (to a lesser degree) 1st responder {beta}-cells. Together, these findings underscore the importance of engineering islets containing both - and {beta}-cells for stem cellderived islet replacement therapies for Type-1diabetes. Article Highlights{whitebullet} Role of GLP-1R mediated -{beta} cell communication in functional {beta}-cell heterogeneity was unclear. {whitebullet}Does GLP-1R inhibition affect all {beta}-cells uniformly, or will -neighboring cells be affected more? Is existence of 1st responder and hub cell subpopulations shaped by GLP-1R signaling? {whitebullet}GLP-1R inhibition decreases multiple metrics or {beta}-cell responsiveness - especially in -neighboring {beta}-cells. It diminishes spatiotemporal consistency of hub {beta}-cells and (to a lesser degree) 1st responders. {whitebullet}Islet-local GLP-1R communication in absence of exogenous GLP-1 is sufficient for significant control of {beta}-cell function. Incorporating -cells into the engineered islets can improve islet replacement outcomes.

bioengineering↗

bioRxiv2022

Unveiling the anti-glioma potential of a marine derivative, Fucoidan: its synergistic cytotoxicity with Temozolomide-an in vitro and in silico experimental study

IntroductionGlioma, coined as a "butterfly" tumor associated with a dismal prognosis. Marine algal compounds with the richest sources of bioactive components, act as significant anti-tumor therapeutics. However, there is a paucity of studies conducted on Fucoidan to enhance the anti-glioma efficacy of Temozolomide. Therefore, the present study aimed to evaluate the synergistic anti-proliferative, anti-inflammatory and pro-apoptotic effects of Fucoidan with Temozolomide in in vitro and in silico experimental setup. MethodologyThe anti-proliferative effects of Temozolomide and Fucoidan was evaluated on C6 glioma cells by MTT and migration assay. Modulation of inflammatory markers and apoptosis induction was affirmed at the morphological and transcriptional level, by dual staining and gene expression. Molecular docking (MD) and molecular dynamics simulation (MDS) studies were performed against the targets to rationalize the inhibitory effect. ResultsThe dual-drug combination significantly reduced the cell viability and migration of glioma cells in a synergistic dose-dependent manner. At the molecular level, the dual-drug combination significantly down-regulated inflammatory genes with a concomitant upregulation of pro-apoptotic marker. In consensus with our in vitro findings, molecular docking and simulation studies revealed that the anti-tumor ligands: Temozolomide, Fucoidan with 5-(3-Methy1-trizeno)-imidazole-4-carboxamide (MTIC), and 4-amino-5-imidazole-carboxamide (AIC) had the potency to bind to the inflammatory proteins at their active sites, mediated by H-bonds and other non-covalent interactions. Discussion and ConclusionThe dual-drug combinatorial treatment synergistically inhibited the proliferation, migration of glioma cells and promoted apoptosis; conversely with the down-regulation of inflammatory genes. However, pre-clinical experimental evidence is warranted for the possible translation of this combination.

cancer biology↗

bioRxiv2022

Identification of potential antifibrinolytic compounds against kringle-1 and serine protease domain of plasminogen and kringle-2 domain of tissue-type plasminogen activator using combined virtual screening, molecular docking, and molecular dynamics simulation approaches.

The zymogen protease Plasminogen (Plg) and its active form plasmin (Plm) carry out important functions in the blood clot disintegration (breakdown of fibrin fibres) process. Inhibition of plasmin effectively reduces fibrinolysis to circumvent heavy bleeding. Currently, available Plm inhibitor tranexamic acid (TXA) that is used to treat severe hemorrhages is associated with an increased incidence of seizures which in turn were traced to gamma-aminobutyric acid antagonistic activity (GABAa) in addition to having multiple side effects. Fibrinolysis can be suppressed by targeting the three important protein domains: kringle-1 and serine protease domain of plasminogen and kringle-2 domain of tissue plasminogen activator. In the present study, combined approaches of structure-based virtual screening and molecular docking using Schrodinger Glide, AutoDock Vina, and ParDock/BAPPL+ were employed to identify potential hits from the ZINC database. Thereafter, the drug-likeness properties of the top three leads for each protein target were evaluated using Discovery Studio. Subsequently, a molecular dynamics simulation of 200ns for each protein-ligand complex was performed in GROMACS. The identified ligands are found to impart higher rigidity and stability to the protein-ligand complexes. Furthermore, the results were validated by performing the principal component analysis (PCA), and calculation of binding free energy using the Molecular Mechanics Poisson-Boltzmann Surface Area (MMPBSA) approach. The identified ligands occupy smaller phase space, form stable clusters and exhibit stronger non-bonded interactions. Thus, our findings can be useful for the development of promising anti-fibrinolytic agents. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=113 SRC="FIGDIR/small/512028v2_ufig1.gif" ALT="Figure 1"> View larger version (47K): org.highwire.dtl.DTLVardef@b762fforg.highwire.dtl.DTLVardef@1c47591org.highwire.dtl.DTLVardef@1028dc1org.highwire.dtl.DTLVardef@a884ad_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗