The DOI matches its Crossref record; 51 of the 52 references it cites were found in a registry or an index.
Understanding Type 1 Diabetes: Etiology and Models
Abstract
Type 1 diabetes is a complex disease involving a combination of factors, such as genetic susceptibility, immunologic dysregulation and exposure to environmental triggers. Animal models serve an important function both in elucidating the pathophysiology and preliminary screening of antidiabetic molecules. Hence, the development of models for type 1 diabetes can be broadly divided into 3 categories, namely: identification of spontaneously developing type 1 diabetes mellitus strains, creating diabetes-prone species through gene transfer techniques and forced destruction of islet cells through chemical or surgical means. This review discusses the models used to study type 1 diabetes with special emphasis on genetics.
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“Both obesity and hyperglycemia promote the release of inflammatory mediators, like TNF-α, or IL-6, released mediators stimulate macrophages and other innate immune cells, as well as some apoptosis-related signaling pathways, such as Fas/FasL signaling pathway (78, 79).”
From Diabetes and Sarcopenic Obesity: Pathogenesis, Diagnosis, and Treatments (2020) · cites this paper as [78]
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Cites
Global and societal implications of the diabetes epidemic
Zimmet, P., Alberti, K. G. M. M., & Shaw, J. (2001) · Nature · doi:10.1038/414782a · Cited by 5,883
Hay fever, hygiene, and household size.
Strachan, D. P. (1989) · BMJ · doi:10.1136/bmj.299.6710.1259 · Cited by 5,054
The Type 1 Diabetes Genetics Consortium, Barrett, J. C., Clayton, D. G., Concannon, P., Akolkar, B., Cooper, J. D., Erlich, H. A., Julier, C., Morahan, G., Nerup, J., et al. (2009) · Nature Genetics · doi:10.1038/ng.381 · Cited by 1,746
The use of animal models in diabetes research
King, A. J. (2012) · British Journal of Pharmacology · doi:10.1111/j.1476-5381.2012.01911.x · Cited by 1,303
Ohashi, P. S., Oehen, S., Buerki, K., Pircher, H., Ohashi, C. T., Odermatt, B., MALISSEN, B., Zinkernagel, R. M., & Hengartner, H. (1991) · Cell · doi:10.1016/0092-8674(91)90164-t · Cited by 1,175
Animal models of diabetes mellitus
Rees, A., & Alcolado, J. C. (2005) · Diabetic Medicine · doi:10.1111/j.1464-5491.2005.01499.x · Cited by 753
DRUGS PRODUCING DIABETES THROUGH DAMAGE OF THE INSULIN SECRETING CELLS
Rerup, C. (1970) · Pharmacological Reviews · doi:10.1016/s0031-6997(25)06885-1 · Cited by 731
The rise of childhood type 1 diabetes in the 20th century.
Gale, E. (2002) · Diabetes · doi:10.2337/diabetes.51.12.3353 · Cited by 673
The NOD mouse model of type 1 diabetes: As good as it gets?
Atkinson, M. A., & Leiter, E. H. (1999) · Nature Medicine · doi:10.1038/9442 · Cited by 588
Concannon, P., Rich, S. S., & Nepom, G. T. (2009) · New England Journal of Medicine · doi:10.1056/nejmra0808284 · Cited by 510
Research works printed but not linked: 1
- Chatzigeorgiou, 2009, Animal models of diabetes: a synopsis, In Vivo, 23, 245
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Effects of Mesenchymal Stem Cell-Derived Exosomes on Autoimmune Diseases
Shen, Z., Huang, W., Liu, J., Tian, J., Wang, S., & Rui, K. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.749192 · Cited by 285
Treatment strategies against diabetes: Success so far and challenges ahead.
Khursheed, R., Singh, S. K., Wadhwa, S., Kapoor, B., Gulati, M., Kumar, R., Ramanunny, A. K., Awasthi, A., & Dua, K. (2019) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2019.172625 · Cited by 239
Diabetes and Sarcopenic Obesity: Pathogenesis, Diagnosis, and Treatments
Wang, M., Tan, Y., Shi, Y., Wang, X., Liao, Z., & Wei, P. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.00568 · Cited by 231
Diabetic Muscular Atrophy: Molecular Mechanisms and Promising Therapies
Shen, Y., Li, M., Wang, K., Qi, G., Liu, H., Wang, W., Ji, Y., Chang, M., Deng, C., Xu, F., et al. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.917113 · Cited by 104
Environmental pollution and the risk of developing metabolic disorders: obesity and diabetes
Khalil, W. J., Akeblersane, M., Khan, A. S., Moin, A. S. M., & Butler, A. E. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24108870 · Cited by 95
Metadata
- Authors
- Acharjee, S., Ghosh, B., Al-Dhubiab, B. E., & Nair, A. B.
- Affiliations
- King Faisal University (SA)
- Corresponding author
- Nair, Anroop B.
- Venue
- Canadian Journal of Diabetes
- Publisher
- Elsevier BV
- Published
- 2013-08
- Volume
- 37
- Issue
- 4
- Pages
- 269-276
- ISSN
- 1499-2671 (ISSN-L)
- OpenAlex
- W2114256982
- Cited by
- 117
- References
- 52
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 16 · 2023: 13 · 2022: 14 · 2021: 20 · 2020: 9 · 2019: 5 · 2018: 6 · 2017: 4 · 2016: 3 · 2015: 5 · 2014: 7 · 2013: 1
- FWCI
- 0.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Canadian Journal of Diabetes (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- type 1 diabetes, etiology, animal models of diabetes, genetic susceptibility, environmental triggers, gene transfer, islet cell destruction, pathophysiology
- MeSH terms
- Animals, Diabetes Mellitus, Type 1, Disease Models, Animal, Humans, Animals, Genetically Modified, Biomedical Research
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