ReviewAmino acids2023
Amino acid-stimulated insulin secretion: a path forward in type 2 diabetes.
Review in Amino acids, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- Nutrient and non-nutrient regulators of insulin secretion.Nature reviews. Endocrinology · 2026Review
- The emerging role of branched-chain amino acid metabolism in obesity.International journal of obesity (2005) · 2026Review
- Regulation of RNA-binding proteins by small biomolecules.Nature reviews. Molecular cell biology · 2026Review
- Development of a severe rat refeeding syndrome model and mathematical modeling of the associated hypophosphatemia.NPJ systems biology and applications · 2026Article
- In Vitro Assessment of the Bioaccessibility and Hypoglycemic Properties of Essential Amino Acids Blend: Implication for Diabetes Management.Nutrients · 2025Article
- Zrt-Irt-like Proteins (ZIP) Family Zinc Transporters: Emerging Players in Pancreatic β Cell Function and Insulin Regulation.The Journal of nutrition · 2025Review
- An INS-1 832/13 𝛽-Cell Proteome Highlights the Rapid Regulation of Fatty Acid Biosynthesis in Glucose-Stimulated Insulin Secretion.Proteomics · 2025Article
- Molecular correlates of glycine receptor activity in human β cells.Molecular metabolism · 2025Article
- Biphasic glucose-stimulated insulin secretion over decades: a journey from measurements and modeling to mechanistic insights.Life metabolism · 2025Review
- Free amino acids accelerate the time-dependent inactivation of rat liver nucleotide pyrophosphatase/phosphodiesterase Enpp3 elicited by EDTA.Amino acids · 2024Article
- Alleviation of nephropathy during aging as complications of diabetic by natural products.African health sciences · 2024Article
- Cell identity dynamics and insight into insulin secretagogues when employing stem cell-derived islets for disease modeling.Frontiers in bioengineering and biotechnology · 2024Article
- Dietary protein, amino acids and type 2 diabetes mellitus: a short review.Frontiers in nutrition · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Qualitative and quantitatively appropriate insulin secretion is essential for optimal control of blood glucose. Beta-cells of the pancreas produce and secrete insulin in response to glucose and non-glucose stimuli including amino acids. In this manuscript, we review the literature on amino acid-stimulated insulin secretion in oral and intravenous in vivo studies, in addition to the in vitro literature, and describe areas of consensus and gaps in understanding. We find promising evidence that the synergism of amino acid-stimulated insulin secretion could be exploited to develop novel therapeutics, but that a systematic approach to investigating these lines of evidence is lacking. We highlight evidence that supports the relative preservation of amino acid-stimulated insulin secretion compared to glucose-stimulated insulin secretion in type 2 diabetes, and make the case for the therapeutic potential of amino acids. Finally, we make recommendations for research and describe the potential clinical utility of nutrient-based treatments for type 2 diabetes including remission services.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.