ReviewPhysiology (Bethesda, Md.)2026
Metabolic Programming of β-Cell Fate, State, and Function through Time and Space.
Review in Physiology (Bethesda, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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0 citing papers in PubMed.
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2 authors.
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Abstract
β-cells maintain glucose homeostasis by adjusting insulin secretion to meet the demands of (patho)physiological triggers; yet, they also undergo energy-dependent transitions between proliferation, differentiation, and maturation that underlie function across the lifespan. There are energy costs to prioritizing distinct cell states within β-cells. As such, specific metabolic programming is likely essential for distinct β-cell states as they toggle between immaturity and maturity. Transcriptional, nutritional, hormonal, and stress-based cues coordinately regulate the development of native β-cells in vivo. These steps are mirrored in protocols to differentiate human pluripotent stem cells (hPSCs) into β-like cells, but these cells remain functionally immature. Understanding how metabolic programs drive β-cell state transitions may reveal strategies to accelerate stem cell-derived (sc)-islet maturation, restore β-cell function in diabetes, and improve cell-based therapies. Here, we outline the known and unknown metabolic physiology of β-cells throughout development in vivo and in vitro.
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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 Socratic graph.