The DOI matches its Crossref record; 170 of the 170 references it cites were found in a registry or an index.
Type 2 diabetes mellitus: From a metabolic disorder to an inflammatory condition
Open accessAbstract
Diabetes mellitus is increasing at an alarming rate and has become a global challenge. Insulin resistance in target tissues and a relative deficiency of insulin secretion from pancreatic β-cells are the major features of type 2 diabetes (T2D). Chronic low-grade inflammation in T2D has given an impetus to the field of immuno-metabolism linking inflammation to insulin resistance and β-cell dysfunction. Many factors advocate a causal link between metabolic stress and inflammation. Numerous cellular factors trigger inflammatory signalling cascades, and as a result T2D is at the moment considered an inflammatory disorder triggered by disordered metabolism. Cellular mechanisms like activation of Toll-like receptors, Endoplasmic Reticulum stress, and inflammasome activation are related to the nutrient excess linking pathogenesis and progression of T2D with inflammation. This paper aims to systematically review the metabolic profile and role of various inflammatory pathways in T2D by capturing relevant evidence from various sources. The perspectives include suggestions for the development of therapies involving the shift from metabolic stress to homeostasis that would favour insulin sensitivity and survival of pancreatic β-cells in T2D.
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Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal
Ndiaye, M., Lespez, L., Tribolo, C., Rassé, M., Hadjas, I., Davidoux, S., Huysecom, É., & Douze, K. (2024) · Monash University Research Portal (Monash University) · doi:10.3929/ethz-b-000667478 · Cited by 23,868
International Diabetes Federation 2017
Carracher, A. M., Marathe, P. H., & Close, K. L. (2018) · Journal of Diabetes · doi:10.1111/1753-0407.12644 · Cited by 13,418
Correspondence - Tranexamic acid for traumatic brain injury
(2005) · London School of Economics and Political Science Theses Online (London School of Economics and Political Science) · doi:10.1016/s0140-6736 · Cited by 11,894
Obesity is associated with macrophage accumulation in adipose tissue
Weisberg, S. P., McCann, D., Desai, M., Rosenbaum, M., Leibel, R. L., & Ferrante, A. W. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319246 · Cited by 10,041
Inflammation and metabolic disorders
Hotamisligil, G. S. (2006) · Nature · doi:10.1038/nature05485 · Cited by 9,199
Biochemistry and molecular cell biology of diabetic complications
Brownlee, M. (2001) · Nature · doi:10.1038/414813a · Cited by 9,107
The metabolic phenotype in obesity: Fat mass, body fat distribution, and adipose tissue function
Goossens, G. H. (2017) · Obesity Facts · doi:10.1159/000471488 · Cited by 8,481
Adipose Expression of Tumor Necrosis Factor-α: Direct Role in Obesity-Linked Insulin Resistance
Hotamisligil, G. S., Shargill, N. S., & Spiegelman, B. M. (1993) · Science · doi:10.1126/science.7678183 · Cited by 7,518
Global estimates of the prevalence of diabetes for 2010 and 2030
Shaw, J. E., Sicree, R. A., & Zimmet, P. Z. (2010) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2009.10.007 · Cited by 7,216
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
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Obesity and diabetes as high‐risk factors for severe coronavirus disease 2019 (Covid‐19)
Zhou, Y., Chi, J., Lv, W., & Wang, Y. (2021) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3377 · Cited by 490
The Role of AGE/RAGE Signaling in Diabetes-Mediated Vascular Calcification
Kay, A. M., Simpson, C. L., & Stewart, J. A. (2016) · Journal of Diabetes Research · doi:10.1155/2016/6809703 · Cited by 346
Diagnostic biosensors in medicine – A review
Metkar, S. K., & Girigoswami, K. (2019) · Biocatalysis and Agricultural Biotechnology · doi:10.1016/j.bcab.2018.11.029 · Cited by 304
Frydrych, L. M., Bian, G., O’Lone, D. E., Ward, P. A., & Delano, M. J. (2018) · Journal of Leukocyte Biology · doi:10.1002/jlb.5vmr0118-021rr · Cited by 299
Yadav, R., Dey, D. K., Vij, R., Meena, S., Kapila, R., & Kapila, S. (2018) · Microbial Pathogenesis · doi:10.1016/j.micpath.2018.10.015 · Cited by 73
Metadata
- Authors
- Hameed, I., Masoodi, S. R., Mir, S. A., Nabi, M., Ghazanfar, K., & Ganai, B. A.
- Venue
- World Journal of Diabetes
- Publisher
- Baishideng Publishing Group Inc.
- Published
- 2015
- Volume
- 6
- Issue
- 4
- Pages
- 598
- ISSN
- 1948-9358 (ISSN-L)
- OpenAlex
- W1486117034
- Cited by
- 506
- References
- 170
- FWCI
- 16.28
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Hameed, I., Masoodi, S. R., Mir, S. A., Nabi, M., Ghazanfar, K., & Ganai, B. A. (2015). Type 2 diabetes mellitus: From a metabolic disorder to an inflammatory condition. World Journal of Diabetes. https://doi.org/10.4239/wjd.v6.i4.598
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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