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Key molecular scaffolds in the development of clinically viable α-amylase inhibitors.
Future Med Chem
January 2025
Department of Chemistry, Kurukshetra University, Kurukshetra, India.
The escalating cases of type II diabetes combined with adverse side effects of current antidiabetic drugs spurred the advancement of innovative approaches for the management of postprandial glucose levels. α-Amylase is an endoamylase responsible for the breakdown of internal α-1,4-glycosidic linkages in dietary starch, producing oligosaccharides. Subsequently, α-glucosidase degraded these oligosaccharides to monosaccharides, which are absorbed into the bloodstream and become available to the body.
View Article and Find Full Text PDFGastric Accommodation Testing Using Hybrid Nuclear Imaging Volumetry and Combined High-Resolution Manometry-Nutrient Drink Test: A Pilot Study in Healthy Individuals.
Neurogastroenterol Motil
January 2025
Department of Nuclear Medicine, Radiotherapy & Oncology, School of Medical Sciences, Universiti Sains Malaysia Health Campus, Kota Bharu, Kelantan, Malaysia.
Background: Gastric accommodation (GA) testing is gaining clinical recognition as novel and minimally invasive modalities emerge. We investigated the feasibility of hybrid nuclear imaging volumetry (SPECT/CT) and combined high-resolution manometry-nutrient drink test (HRM-NDT) to assess GA.
Methods: In this non-randomized pilot study, [Tc]NaTcO gastric SPECT/CT (250 mL protocol) and proximal gastric HRM-NDT (~60 mL/min protocol) were performed separately within 30 days using Ensure Gold test meal (1.
Efficacy and Safety of F-Biotic™ in Combination With Metformin for Type 2 Diabetes Mellitus: Results From a Randomized, Double-Blind Clinical Trial.
Cureus
December 2024
Diabetes and Endocrinology, Arishina Life Sciences, Karnataka, IND.
Introduction: This study evaluated the effectiveness, safety, and tolerability of F-Biotic™ (Arishina Life Sciences, Karnataka, IND), a prebiotic containing 60% resistant starch derived from natural sources, in patients with Type 2 diabetes mellitus (T2DM) on stable metformin therapy.
Methods: Seventy participants with T2DM, aged 25-70 years, were randomized into two groups: one receiving F-Biotic™ and the other a placebo, both administered daily for 12 weeks. Key outcomes included fasting blood sugar (FBS), postprandial blood sugar (PPBS), glycated hemoglobin (HbA1c), fasting insulin, insulin resistance (HOMA-IR), GLP-1 levels, lipid profile, and quality of life.
Physiological Fatty Acid-Stimulated Insulin Secretion and Redox Signaling Lipotoxicity.
Antioxid Redox Signal
January 2025
Department of Mitochondrial Physiology, No.75, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic.
Type 2 diabetes as a world-wide epidemic is characterized by the insulin resistance concomitant to a gradual impairment of β-cell mass and function (prominently declining insulin secretion) with dysregulated fatty acids (FAs) and lipids, all involved in multiple pathological development. Recently, redox signaling was recognized to be essential for insulin secretion stimulated with glucose (GSIS), branched-chain keto-acids, and FAs. FA-stimulated insulin secretion (FASIS) is a normal physiological event upon postprandial incoming chylomicrons.
View Article and Find Full Text PDFTowards a decision support system for post bariatric hypoglycaemia: development of forecasting algorithms in unrestricted daily-life conditions.
BMC Med Inform Decis Mak
January 2025
Department of Information Engineering (DEI), University of Padova, Via G. Gradenigo 6/B, Padua, 35131, Italy.
Background: Post bariatric hypoglycaemic (PBH) is a late complication of weight loss surgery, characterised by critically low blood glucose levels following meal-induced glycaemic excursions. The disabling consequences of PBH underline the need for the development of a decision support system (DSS) that can warn individuals about upcoming PBH events, thus enabling preventive actions to avoid impending episodes. In view of this, we developed various algorithms based on linear and deep learning models to forecast PBH episodes in the short-term.
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