The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Lesson in Metabolic Regulation Inspired by the Glucokinase Glucose Sensor Paradigm
Abstract
Special features of glucose metabolism in pancreatic β-cells are central to an understanding of the physiological role of these cells in glucose homeostasis. Several of these characteristics are emphasized: a high-capacity system for glucose transport; glucose phosphorylation by the high-Km glucokinase (GK), which is rate-limiting for glucose metabolism and determines physiologically the glucose dependency curves of many processes in β-cell intermediary and energy metabolism and of insulin release and is therefore viewed as glucose sensor; remarkably low activity of lactate dehydrogenase and the presence of effective hydrogen shuttles to allow virtually quantitative oxidation of glycolytic NADH; the near absence of glycogen and fatty acid synthesis and of gluconeogenesis, such that intermediary metabolism is primarily catabolic; a crucial role of mitochondrial processes, including the citric acid cycle, electron transport, and oxidative phosphorylation with FoF1 ATPase governing the glucose-dependent increase of the ATP mass-action ratio; a Ca2+-independent glucose-induced respiratory burst and increased ATP production in β-cells as striking manifestations of crucial mitochondrial reactions; control of the membrane potential by the mass-action ratio of ATP and voltage-dependent Ca2+ influx as signal for insulin release; accumulation of malonyl-CoA, acyl-CoA, and diacylglycerol as essential or auxiliary metabolic coupling factors; and amplification of the adenine nucleotide, lipid-related, and Ca2+ signals to recruit many auxiliary processes to maximize insulin biosynthesis and release. The biochemical design also suggests certain candidate diabetes genes related to fuel metabolism: low-activity and low-stability GK mutants that explain in part the maturity-onset diabetes of the young (MODY) phenotype in humans and mitochondrial DNA mutations of FoF1 ATPase components thought to cause late-onset diabetes in BHEcdb rats. These two examples are chosen to illustrate that metabolic reactions with high control strength participating in β-cell energy metabolism and generating coupling factors and intracellular signals are steps with great susceptibility to genetic, environmental, and pharmacological influences. Glucose metabolism of β-cells also controls, in addition to insulin secretion and insulin biosynthesis, an adaptive response to excessive fuel loads and may increase the β-cell mass by hypertrophy, hyperplasia, and neogenesis. It is probable that this adaptive response is compromised in diabetes because of the GK or ATPase mutants that are highlighted here. A comprehensive knowledge of β-cell intermediary and energy metabolism is therefore the foundation for understanding the role of these cells in fuel homeostasis and in the pathogenesis of the most prevalent metabolic disease, diabetes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Intracellular ATP directly blocks K+ channels in pancreatic B-cells
Cook, D. L., & Hales, N. (1984) · Nature · doi:10.1038/311271a0 · Cited by 1,208 · cited 2×
“There are at least four targets of an alteration of the ATP mass-action ratio or of Mg-ADP: i ) the adenine nucleotide-sensitive K channel (33,53); 2) the calcium ATPase of the endoplasmic reticulum (56); 3) ATPsensitive and Ca-independent phospholipase, which generates arachidonic acid as a second messenger (57); and…”
Background
Cited by
Oxidative Stress and Stress-Activated Signaling Pathways: A Unifying Hypothesis of Type 2 Diabetes
Evans, J. L., Goldfine, I. D., Maddux, B. A., & Grodsky, G. M. (2002) · Endocrine Reviews · doi:10.1210/er.2001-0039 · Cited by 2,232
Pathogenesis of type 2 diabetes mellitus
DeFronzo, R. A. (2004) · Medical Clinics of North America · doi:10.1016/j.mcna.2004.04.013 · Cited by 1,342
Homeostasis, Inflammation, and Disease Susceptibility
Kotas, M. E., & Medzhitov, R. (2015) · Cell · doi:10.1016/j.cell.2015.02.010 · Cited by 1,213
Triggering and amplifying pathways of regulation of insulin secretion by glucose.
Henquin, J. C. (2000) · Diabetes · doi:10.2337/diabetes.49.11.1751 · Cited by 1,201
Five stages of evolving beta-cell dysfunction during progression to diabetes
Weir, G. C., & Bonner-Weir, S. (2004) · Diabetes · doi:10.2337/diabetes.53.suppl_3.s16 · Cited by 1,126
Metadata
- Authors
- Matschinsky, F. M.
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 1996-02-01
- Volume
- 45
- Issue
- 2
- Pages
- 223-241
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2161641259
- Cited by
- 729
- References
- 1
- FWCI
- 34.17
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Lesson in Metabolic Regulation Inspired by the Glucokinase Glucose Sensor Paradigm. https://app.cochat.ai/papers/10.2337/diab.45.2.223
- The paper
- Matschinsky, F. M. (1996). A Lesson in Metabolic Regulation Inspired by the Glucokinase Glucose Sensor Paradigm. Diabetes. https://doi.org/10.2337/diab.45.2.223
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.