| Title |
Rodent models of diabetic nephropathy: their utility and limitations
|
|---|---|
| Published in |
International Journal of Nephrology and Renovascular Disease, November 2016
|
| DOI | 10.2147/ijnrd.s103784 |
| Pubmed ID | |
| Authors |
Munehiro Kitada, Yoshio Ogura, Daisuke Koya |
| Abstract |
Diabetic nephropathy is the most common cause of end-stage renal disease. Therefore, novel therapies for the suppression of diabetic nephropathy must be developed. Rodent models are useful for elucidating the pathogenesis of diseases and testing novel therapies, and many type 1 and type 2 diabetic rodent models have been established for the study of diabetes and diabetic complications. Streptozotocin (STZ)-induced diabetic animals are widely used as a model of type 1 diabetes. Akita diabetic mice that have an Ins2+/C96Y mutation and OVE26 mice that overexpress calmodulin in pancreatic β-cells serve as a genetic model of type 1 diabetes. In addition, db/db mice, KK-Ay mice, Zucker diabetic fatty rats, Wistar fatty rats, Otsuka Long-Evans Tokushima Fatty rats and Goto-Kakizaki rats serve as rodent models of type 2 diabetes. An animal model of diabetic nephropathy should exhibit progressive albuminuria and a decrease in renal function, as well as the characteristic histological changes in the glomeruli and the tubulointerstitial lesions that are observed in cases of human diabetic nephropathy. A rodent model that strongly exhibits all these features of human diabetic nephropathy has not yet been developed. However, the currently available rodent models of diabetes can be useful in the study of diabetic nephropathy by increasing our understanding of the features of each diabetic rodent model. Furthermore, the genetic background and strain of each mouse model result in differences in susceptibility to diabetic nephropathy with albuminuria and the development of glomerular and tubulointerstitial lesions. Therefore, the validation of an animal model reproducing human diabetic nephropathy will significantly facilitate our understanding of the underlying genetic mechanisms that contribute to the development of diabetic nephropathy. In this review, we focus on rodent models of diabetes and discuss the utility and limitations of these models for the study of diabetic nephropathy. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Australia | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 216 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 16% |
| Researcher | 30 | 14% |
| Student > Bachelor | 20 | 9% |
| Student > Master | 18 | 8% |
| Student > Doctoral Student | 11 | 5% |
| Other | 37 | 17% |
| Unknown | 68 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 16% |
| Biochemistry, Genetics and Molecular Biology | 31 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 26 | 12% |
| Agricultural and Biological Sciences | 20 | 9% |
| Chemistry | 5 | 2% |
| Other | 22 | 10% |
| Unknown | 79 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 January 2024.
All research outputs
#5,236,309
of 25,576,275 outputs
Outputs from International Journal of Nephrology and Renovascular Disease
#49
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Outputs of similar age
#79,332
of 318,349 outputs
Outputs of similar age from International Journal of Nephrology and Renovascular Disease
#2
of 7 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 260 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 81% of its peers.
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