The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Mechanism linking diabetes mellitus and obesity
Open accessAbstract
Body mass index has a strong relationship to diabetes and insulin resistance. In obese individuals, the amount of nonesterified fatty acids, glycerol, hormones, cytokines, proinflammatory markers, and other substances that are involved in the development of insulin resistance, is increased. The pathogenesis in the development of diabetes is based on the fact that the β-islet cells of the pancreas are impaired, causing a lack of control of blood glucose. The development of diabetes becomes more inevitable if the failure of β-islet cells of the pancreas is accompanied by insulin resistance. Weight gain and body mass are central to the formation and rising incidence of type 1 and type 2 diabetes. This literature review will demonstrate the facts that link obesity with insulin resistance and pancreatic β-cell dysfunction. In conclusion, new approaches in managing and preventing diabetes in obese individuals must be studied and investigated based on the facts.
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
Mechanisms linking obesity to insulin resistance and type 2 diabetes
Kahn, S. E., Hull, R. L., & Utzschneider, K. M. (2006) · Nature · doi:10.1038/nature05482 · Cited by 5,448
Inflammation, stress, and diabetes
Wellen, K. E., & Hotamisligil, G. S. (2005) · Journal of Clinical Investigation · doi:10.1172/jci25102 · Cited by 4,143
Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index
Gallagher, D., Heymsfield, S. B., Heo, M., Jebb, S. A., Murgatroyd, P. R., & Sakamoto, Y. (2000) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/72.3.694 · Cited by 2,139
Diagnosis and classification of diabetes mellitus
American Diabetes Association (2009) · Diabetes Care · doi:10.2337/dc09-s062 · Cited by 1,817
Mechanism of free fatty acid-induced insulin resistance in humans.
Roden, M., Price, T. B., Perseghin, G., Petersen, K. F., Rothman, D. L., Cline, G. W., & Shulman, G. I. (1996) · Journal of Clinical Investigation · doi:10.1172/jci118742 · Cited by 1,539
Kahn, S. E., Prigeon, R. L., McCulloch, D. K., Boyko, E. J., Bergman, R. N., Schwartz, M. W., Neifing, J. L., Ward, W. K., Beard, J. C., & Palmer, J. P. (1993) · Diabetes · doi:10.2337/diab.42.11.1663 · Cited by 1,405
Type 1 Diabetes: Etiology, Immunology, and Therapeutic Strategies
Van Belle, T. L., Coppieters, K. T., & Von Herrath, M. G. (2011) · Physiological Reviews · doi:10.1152/physrev.00003.2010 · Cited by 1,022
Fatty acids, obesity, and insulin resistance: Time for a reevaluation
Karpe, F., Dickmann, J. R., & Frayn, K. N. (2011) · Diabetes · doi:10.2337/db11-0425 · Cited by 896
The accelerator hypothesis: weight gain as the missing link between type I and type II diabetes
Wilkin, T. J. (2001) · Diabetologia · doi:10.1007/s001250100548 · Cited by 623
Kahn, S. E., Prigeon, R. L., McCulloch, D. K., Boyko, E. J., Bergman, R. N., Schwartz, M. W., Neifing, J. L., Ward, W. K., Beard, J. C., Palmer, J. P., et al. (1993) · Diabetes · doi:10.2337/diabetes.42.11.1663 · Cited by 328
Cited by
Physiological and pathophysiological roles of NAMPT and NAD metabolism.
Garten, A., Schuster, S., Penke, M., Gorski, T., de Giorgis, T., & Kiess, W. (2015) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2015.117 · Cited by 708
Molecular Mechanisms of the Anti-Obesity and Anti-Diabetic Properties of Flavonoids
Kawser Hossain, M., Abdal Dayem, A., Han, J., Yin, Y., Kim, K., Kumar Saha, S., Yang, G.-M., Choi, H., & Cho, S.-G. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17040569 · Cited by 495
Johnson, N. M., Hoffmann, A. R., Behlen, J. C., Lau, C., Pendleton, D., Harvey, N., Shore, R., Li, Y., Chen, J., Tian, Y., et al. (2021) · Environmental Health and Preventive Medicine · doi:10.1186/s12199-021-00995-5 · Cited by 339
“While the etiology of type 2 diabetes is multi-factorial, obesity is a primary risk factor as this state disrupts insulin homeostasis leading to abnormal blood glucose levels [32].”
BackgroundRole of medicinal plants in the management of diabetes mellitus: a review
Jacob, B., & Narendhirakannan, R. T. (2019) · 3 Biotech · doi:10.1007/s13205-018-1528-0 · Cited by 205
Obesity-Related Changes in High-Density Lipoprotein Metabolism and Function
Stadler, J. T., & Marsche, G. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21238985 · Cited by 200
Metadata
- Authors
- Algoblan, A., Alalfi, M., & Khan, M.
- Venue
- Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
- Publisher
- Informa UK Limited
- Published
- 2014-12
- Volume
- 7
- Pages
- 587
- ISSN
- 1178-7007 (ISSN-L)
- OpenAlex
- W2019141360
- Cited by
- 1,028
- References
- 10
- FWCI
- 9.89
- Type
- journal article
- Language
- en
- Open access
- gold
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: Mechanism linking diabetes mellitus and obesity. https://app.cochat.ai/papers/10.2147/dmso.s67400
- The paper
- Algoblan, A., Alalfi, M., & Khan, M. (2014). Mechanism linking diabetes mellitus and obesity. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy. https://doi.org/10.2147/dmso.s67400
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.