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Deepa Gupta

Publications -  5
Citations -  78

Deepa Gupta is an academic researcher. The author has contributed to research in topics: Biology & Medicine. The author has an hindex of 1, co-authored 1 publications receiving 66 citations.

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Attenuation of endocrine-exocrine pancreatic communication in type 2 diabetes: pancreatic extracellular matrix ultrastructural abnormalities.

TL;DR: Widening of the islet-exocrine interface appears to result in loss of desmosomes and adherens junctions between islet and acinar cells and is associated with hypercellularity consisting of pericytes and inflammatory cells in T2DM pancreatic tissue.
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MicroRNA-7 regulates insulin signaling pathway by targeting IRS1, IRS2, and RAF1 genes in gestational diabetes mellitus.

TL;DR: An elevated level of miRNA7 may be associated with the progression of GDM by altering the multiple pathways like insulin, GnRH, and inflammatory signaling pathways via targeting IRS1, IRS2, and RAF1, implicating a new therapeutic target for GDM.
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Secular trends in the utility of SGLT-2 inhibitors in heart failure patients with type 2 diabetes mellitus across Metro South Health hospitals in South-East Queensland.

TL;DR: The 2018 Australian Heart Failure (HF) guidelines strongly recommended commencing sodium-glucose co-transporter-2 inhibitors (SGLT-2is) in HF patients with type 2 diabetes mellitus (T2DM) in our health service as mentioned in this paper .
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An Insight into the Development of Potential Antidiabetic Agents along with their Therapeutic Targets.

TL;DR: In this article , the authors have summarized several therapeutic targets, like dipeptidyl peptidase-4 (DPP-4), glucagon receptor antagonists, glycogen phosphorylase or fructose-1,6-biphosphatase inhibitors, SGLT inhibitors, 11beta-HSD-1 inhibitors, glucocorticoids receptor antagonists and glucose-6-phosphatases inhibitors.
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Network based identification of Potential Key Genes associated with Alzheimer’s disease and Type 2 Diabetes using mTOR signalling

TL;DR: A comprehensive network of mTOR signalling that consisted of 255 nodes (proteins/genes) and 592 edges (interactions) using the Cytoscape 3.6 editor and its plugins for analysis is created.