The DOI matches its Crossref record; 135 of the 135 references it cites were found in a registry or an index.
Molecular and metabolic mechanisms of insulin resistance and β-cell failure in type 2 diabetes
Abstract
Nearly unlimited supplies of energy-dense foods and technologies that encourage sedentary behaviour have introduced a new threat to the survival of our species: obesity and its co-morbidities. Foremost among the co-morbidities is type 2 diabetes, which is projected to afflict 300 million people worldwide by 2020. Compliance with lifestyle modifications such as reduced caloric intake and increased physical activity has proved to be difficult for the general population, meaning that pharmacological intervention may be the only recourse for some. This epidemiological reality heightens the urgency for gaining a deeper understanding of the processes that cause metabolic failure of key tissues and organ systems in type 2 diabetes, as reviewed here.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“More recent metabolomic studies now suggest that enhanced fat metabolism seen with high-fat feeding leads to high levels of β-oxidation products that alter mitochondria in a way that restrict the ability to switch to glucose oxidation (228).”
From Mitochondrial Dysfunction in Diabetes: From Molecular Mechanisms to Functional Significance and Therapeutic Opportunities (2010) · cites this paper as [228]
In the citing paper
“Moreover, the importance of fuel selectivity is underscored by studies indicating that “metabolic inflexibility” or impaired capacity to switch between nutrient utilization, in particular between fatty acid and glucose oxidation, has a pathogenic role in the insulin resistance commonly seen in type 2 diabetes and obesity (228).”
From Mitochondrial Dysfunction in Diabetes: From Molecular Mechanisms to Functional Significance and Therapeutic Opportunities (2010) · cites this paper as [228]
Citations
Cites
Positional cloning of the mouse obese gene and its human homologue
Zhang, Y., Proenca, R., Maffei, M., Barone, M., Leopold, L., & Friedman, J. M. (1994) · Nature · doi:10.1038/372425a0 · Cited by 13,419
Plum, F. (1960) · Archives of Neurology · doi:10.1001/archneur.1960.03840090124020 · Cited by 10,388
Mootha, V. K., Lindgren, C. M., Eriksson, K.-F., Subramanian, A., Sihag, S., Lehar, J., Puigserver, P., Carlsson, E., Ridderstråle, M., Laurila, E., et al. (2003) · Nature Genetics · doi:10.1038/ng1180 · Cited by 10,197
Xu, H., Barnes, G. T., Yang, Q., Tan, G., Yang, D., Chou, C. J., Sole, J., Nichols, A., Ross, J. S., Tartaglia, L. A., et al. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319451 · Cited by 6,760
Effect of Rosiglitazone on the Risk of Myocardial Infarction and Death from Cardiovascular Causes
Nissen, S. E., & Wolski, K. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa072761 · Cited by 4,675
Inflammation, stress, and diabetes
Wellen, K. E., & Hotamisligil, G. S. (2005) · Journal of Clinical Investigation · doi:10.1172/jci25102 · Cited by 4,143
Effects of the obese Gene Product on Body Weight Regulation in ob / ob Mice
Pelleymounter, M. A., Cullen, M. J., Baker, M. B., Hecht, R., Winters, D., Boone, T., & Collins, F. (1995) · Science · doi:10.1126/science.7624776 · Cited by 4,017
β-Cell Deficit and Increased β-Cell Apoptosis in Humans With Type 2 Diabetes
Butler, A. E., Janson, J., Bonner-Weir, S., Ritzel, R., Rizza, R. A., & Butler, P. C. (2003) · Diabetes · doi:10.2337/diabetes.52.1.102 · Cited by 4,011
Endoplasmic Reticulum Stress Links Obesity, Insulin Action, and Type 2 Diabetes
Özcan, U., Cao, Q., Yilmaz, E., Lee, A.-H., Iwakoshi, N. N., Özdelen, E., Tuncman, G., Görgün, C., Glimcher, L. H., & Hotamisligil, G. S. (2004) · Science · doi:10.1126/science.1103160 · Cited by 3,844
Biology of Incretins: GLP-1 and GIP
Baggio, L. L., & Drucker, D. J. (2007) · Gastroenterology · doi:10.1053/j.gastro.2007.03.054 · Cited by 3,639
Flagged first, then by citations
Cited by
Sorted by citations
Items 1,001–1,001 of 1,001
CauTrigger: deciphering biological system state transitions by hierarchical causal decomposition
Zhang, C., Cai, D., Aihara, K., & Chen, L. (2026) · Nature Methods · doi:10.1038/s41592-026-03274-9
Metadata
- Authors
- Muoio, D. M., & Newgard, C. B.
- Affiliations
- Duke University (US)
- Corresponding author
- Newgard, Christopher B.
- Venue
- Nature Reviews Molecular Cell Biology
- Published
- 2008-03
- Volume
- 9
- Issue
- 3
- Pages
- 193-205
- ISSN
- 1471-0072 (ISSN-L)
- 1471-0080
- OpenAlex
- W1657478053
- Cited by
- 1,177
- References
- 135
- Citations by year
- 2026: 31 · 2025: 33 · 2024: 49 · 2023: 66 · 2022: 51 · 2021: 59 · 2020: 62 · 2019: 67 · 2018: 65 · 2017: 74 · 2016: 77 · 2015: 81 · 2014: 83 · 2013: 64 · 2012: 75
- FWCI
- 13.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Molecular Cell Biology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- type 2 diabetes, insulin resistance, beta-cell failure, pancreatic beta cells, obesity, metabolic failure, molecular mechanisms, pharmacological interventions
- MeSH terms
- Animals, Diabetes Mellitus, Type 2, Glucose, Humans, Insulin, Insulin Resistance, Signal Transduction, Insulin-Secreting Cells
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
