The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Insights into insulin resistance and type 2 diabetes from knockout mouse models
Open accessAbstract
The pathogenesis of type 2 diabetes is characterized by two major features: peripheral insulin resistance and impaired insulin secretion from pancreatic β cells (1, 2). The application of transgenic mouse technology to the study of diabetes has been extensively reviewed (3). Here, I review the application of a complementary approach, gene knockout technology, to the problem of understanding insulin resistance and its sequelae. After reviewing the phenotypes of animals with individual targeted mutations in homozygous or heterozygous form, I turn to the effects of double mutations and show that interactions between mediators of insulin signaling can account for the development of overt diabetes. Gene knockout technology allows the investigator to generate homozygous null mutant mice and to examine the effects of a total lack of a particular gene product. Resultant phenotypes are expected to reflect physiological functions of the specific gene in vivo. The effects of gene dosage can be studied by focusing on heterozygous null mutants. Moreover, crossing of various heterozygous and/or homozygous knockout animals can be used to reconstitute alterations in multiple genes. Conditional (i.e., tissue-specific or inducible) knockouts can also be created using the Cre/loxP system (4). This tool expands the application of the knockout approach to allow the study of mutations that would be lethal if expressed systemically, and it allows the study of specific effects of mutations in a particular tissue without influences from the other tissues.
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Cites
Alternative pathway of insulin signalling in mice with targeted disruption of the IRS-1 gene
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PPARγ, the ultimate thrifty gene
Auwerx, J. (1999) · Diabetologia · doi:10.1007/s001250051268 · Cited by 612
Insulin Resistance or Insulin Deficiency: Which Is the Primary Cause of NIDDM?
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Cited by
Nakae, J., Biggs, W. H., Kitamura, T., Cavenee, W. K., Wright, C. V. E., Arden, K. C., & Accili, D. (2002) · Nature Genetics · doi:10.1038/ng890 · Cited by 616
Tsuchida, A., Yamauchi, T., Ito, Y., Hada, Y., Maki, T., Takekawa, S., Kamon, J., Kobayashi, M., Suzuki, R., Hara, K., et al. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m402367200 · Cited by 550
Self-citationSuppression of body fat accumulation in myostatin-deficient mice
McPherron, A. C., & Lee, S.-J. (2002) · Journal of Clinical Investigation · doi:10.1172/jci0213562 · Cited by 505
Chemistry and Biochemistry of Type 2 Diabetes
Ross, S. A., Gulve, E. A., & Wang, M. (2004) · Chemical Reviews · doi:10.1021/cr0204653 · Cited by 323
Insulin/IGF-1 Drives PERIOD Synthesis to Entrain Circadian Rhythms with Feeding Time
Crosby, P., Hamnett, R., Putker, M., Hoyle, N. P., Reed, M., Karam, C. J., Maywood, E. S., Stangherlin, A., Chesham, J. E., Hayter, E. A., et al. (2019) · Cell · doi:10.1016/j.cell.2019.02.017 · Cited by 309
Metadata
- Authors
- Kadowaki, T.
- Venue
- Journal of Clinical Investigation
- Published
- 2000-08-15
- Volume
- 106
- Issue
- 4
- Pages
- 459-465
- ISSN
- 0021-9738 (ISSN-L)
- OpenAlex
- W2164340474
- Cited by
- 249
- References
- 5
- FWCI
- 19.46
- Type
- journal article
- Language
- en
- Open access
- green
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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.