ArticleFrontiers in pharmacology2024
Combination of plant metabolites hinders starch digestion and glucose absorption while facilitating insulin sensitivity to diabetes.
Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Resistant starch-enriched rice varieties improve glucose homeostasis in diabetic mice via modulation of the intestine-liver-pancreas axis.NPJ science of food · 2026Article
- Discovering bioactive pharmaceuticals from natural products for type 2 diabetes mellitus using network pharmacology, molecular docking, and molecular dynamics.Scientific reports · 2025Article
- Antidiabetic Potential of Mangiferin: An In Silico and In Vivo Approach.Pharmaceutics · 2025Article
- Evaluation of toxicity and anti-amylase activity of 7, 8 dihydroxy coumarin (Daphnetin), a novel α-amylase blockerToxicology reports · 2025Article
- Lipid-based nano-carriers for the delivery of anti-obesity natural compounds: advances in targeted delivery and precision therapeutics.Journal of nanobiotechnology · 2025Review
- Inhibitory Effects of Aqueous and Hydroalcoholic Extracts from Jatobá Coat (Plants (Basel, Switzerland) · 2025Article
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10 authors.
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Abstract
Introduction: Diabetes mellitus (DM) is a common endocrine disease resulting from interactions between genetic and environmental factors. Type II DM (T2DM) accounts for approximately 90% of all DM cases. Current medicines used in the treatment of DM have some adverse or undesirable effects on patients, necessitating the use of alternative medications. Methods: To overcome the low bioavailability of plant metabolites, all entities were first screened through pharmacokinetic, network pharmacology, and molecular docking predictions. Experiments were further conducted on a combination of antidiabetic phytoactive molecules (rosmarinic acid, RA; luteolin, Lut; resveratrol, RS), along with Results: The results revealed that the combination of metabolites achieved all required criteria, including ADMET, drug likeness, and Lipinski rule. To determine the mechanisms underlying diabetic hyperglycemia and T2DM treatments, network pharmacology was used for regulatory network, PPI network, GO, and KEGG enrichment analyses. Furthermore, the combined metabolites showed adequate Discussion: The results demonstrate that the combination of RA, Lut, and RS could be exploited for multitarget therapy as prospective antihyperglycemic phytopharmaceuticals that hinder starch digestion and glucose absorption while facilitating insulin sensitivity.
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