Key Points
-
Animal models that faithfully recapitulate the clinical features of diabetic nephropathy (DN) are needed to help to define the pathogenesis, identify new drug targets, and test novel therapies
-
Substantial efforts have focused on developing models of DN in mice owing to their tractability for genetic manipulation and other advantages such as fecundity and low cost
-
The extent of kidney pathology in standard mouse models of diabetes is typically quite modest, resembling only the early stage of diabetic microalbuminuria in humans
-
Superimposing genetic stressors on standard diabetes platforms has resulted in more robust mouse models of DN that manifest high-grade albuminuria, nodular glomerulosclerosis, and hypertension
-
No current models of DN develop progressive loss of renal function leading to end-stage renal disease
-
Incorporating data from genomics and metabolomics studies into modelling efforts should enable the generation of mouse models that more closely mimic human DN and thus enhance translational research in the field
Abstract
Diabetic nephropathy (DN) is a leading cause of end-stage renal disease in the developed world. Accordingly, an urgent need exists for new, curative treatments as well as for biomarkers to stratify risk of DN among individuals with diabetes mellitus. A barrier to progress in these areas has been a lack of animal models that faithfully replicate the main features of human DN. Such models could be used to define the pathogenesis, identify drug targets and test new therapies. Owing to their tractability for genetic manipulation, mice are widely used to model human diseases, including DN. Questions have been raised, however, about the general utility of mouse models in human drug discovery. Standard mouse models of diabetes typically manifest only modest kidney abnormalities, whereas accelerated models, induced by superimposing genetic stressors, recapitulate key features of human DN. Incorporation of systems biology approaches and emerging data from genomics and metabolomics studies should enable further model refinement. Here, we discuss the current status of mouse models for DN, their limitations and opportunities for improvement. We emphasize that future efforts should focus on generating robust models that reproduce the major clinical and molecular phenotypes of human DN.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
Valencia, W. M. & Florez, H. How to prevent the microvascular complications of type 2 diabetes beyond glucose control. BMJ 356, i6505 (2017).
Thomas, M. C., Cooper, M. E. & Zimmet, P. Changing epidemiology of type 2 diabetes mellitus and associated chronic kidney disease. Nat. Rev. Nephrol. 12, 73–81 (2016).
Groop, P. H. et al. The presence and severity of chronic kidney disease predicts all-cause mortality in type 1 diabetes. Diabetes 58, 1651–1658 (2009).
Afkarian, M. et al. Kidney disease and increased mortality risk in type 2 diabetes. J. Am. Soc. Nephrol. 24, 302–308 (2013).
Orchard, T. J., Secrest, A. M., Miller, R. G. & Costacou, T. In the absence of renal disease, 20 year mortality risk in type 1 diabetes is comparable to that of the general population: a report from the Pittsburgh Epidemiology of Diabetes Complications Study. Diabetologia 53, 2312–2319 (2010).
Johnson, S. A. & Spurney, R. F. Twenty years after ACEIs and ARBs: emerging treatment strategies for diabetic nephropathy. Am. J. Physiol. Renal Physiol. 309, F807–F820 (2015).
Quinn, M., Angelico, M. C., Warram, J. H. & Krolewski, A. S. Familial factors determine the development of diabetic nephropathy in patients with IDDM. Diabetologia 39, 940–945 (1996).
Afkarian, M. et al. Clinical manifestations of kidney disease among US adults with diabetes, 1988–2014. JAMA 316, 602–610 (2016).
Bowden, D. W. & Freedman, B. I. The challenging search for diabetic nephropathy genes. Diabetes 61, 1923–1924 (2012).
Alpers, C. E. & Hudkins, K. L. Mouse models of diabetic nephropathy. Curr. Opin. Nephrol. Hypertens. 20, 278–284 (2011).
Brosius, F. C. 3rd. & Alpers, C. E. New targets for treatment of diabetic nephropathy: what we have learned from animal models. Curr. Opin. Nephrol. Hypertens. 22, 17–25 (2013).
Raz, I. et al. Role of insulin and the IGF system in renal hypertrophy in diabetic Psammomys obesus (sand rat). Nephrol. Dial Transplant. 18, 1293–1298 (2003).
Velasquez, M. T., Kimmel, P. L. & Michaelis, O. E. 4th. Animal models of spontaneous diabetic kidney disease. FASEB J. 4, 2850–2859 (1990).
Zatz, R. et al. Prevention of diabetic glomerulopathy by pharmacological amelioration of glomerular capillary hypertension. J. Clin. Invest. 77, 1925–1930 (1986).
Majewski, C. & Bakris, G. L. Has RAAS blockade reached its limits in the treatment of diabetic nephropathy? Curr. Diab. Rep. 16, 24 (2016).
Lewis, E. J., Hunsicker, L. G., Bain, R. P. & Rohde, R. D. The effect of angiotensin-converting-enzyme inhibition on diabetic nephropathy. N. Engl. J. Med. 329, 1456–1462 (1993).
Brenner, B. M. et al. Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy. N. Engl. J. Med. 345, 861–869 (2001).
Lewis, E. J. et al. Renoprotective effect of the angiotensin-receptor antagonist irbesartan in patients with nephropathy due to type 2 diabetes. N. Engl. J. Med. 345, 851–860 (2001).
Breyer, M. D. et al. Mouse models of diabetic nephropathy. J. Am. Soc. Nephrol. 16, 27–45 (2005).
Brosius, F. C. 3rd. et al. Mouse models of diabetic nephropathy. J. Am. Soc. Nephrol. 20, 2503–2512 (2009). Together with reference 19, this paper summarizes almost 10 years of work by the AMDCC to generate and characterize mouse models of DN.
Georgia Health Sciences University. Diabetes Complications Consortium. Diabetes Complications Consortium https://www.diacomp.org (2011).
Begley, C. G. & Ellis, L. M. Drug development: raise standards for preclinical cancer research. Nature 483, 531–533 (2012).
Perrin, S. Preclinical research: make mouse studies work. Nature 507, 423–425 (2014).
Betz, B. & Conway, B. R. An update on the use of animal models in diabetic nephropathy research. Curr. Diab. Rep. 16, 18 (2016).
Leiter, E. H. Multiple low-dose streptozotocin-induced hyperglycemia and insulitis in C57BL mice: influence of inbred background, sex, and thymus. Proc. Natl Acad. Sci. USA 79, 630–634 (1982).
Schmezer, P., Eckert, C. & Liegibel, U. M. Tissue-specific induction of mutations by streptozotocin in vivo. Mutat. Res. 307, 495–499 (1994).
Gurley, S. B. et al. Impact of genetic background on nephropathy in diabetic mice. Am. J. Physiol. Renal Physiol. 290, F214–F222 (2006).
Qi, Z. et al. Characterization of susceptibility of inbred mouse strains to diabetic nephropathy. Diabetes 54, 2628–2637 (2005). Together with reference 27, this paper highlights the profound influence of genetic background on the development of DN in mice and identifies mouse strains with enhanced susceptibility to DN.
Leiter, E. H., Prochazka, M. & Coleman, D. L. The non-obese diabetic (NOD) mouse. Am. J. Pathol. 128, 380–383 (1987).
Atkinson, M. A. & Leiter, E. H. The NOD mouse model of type 1 diabetes: as good as it gets? Nat. Med. 5, 601–604 (1999).
Gurley, S. B. et al. Influence of genetic background on albuminuria and kidney injury in Ins2+/C96Y (Akita) mice. Am. J. Physiol. Renal Physiol. 298, F788–F795 (2010).
Wang, J. et al. A mutation in the insulin 2 gene induces diabetes with severe pancreatic beta-cell dysfunction in the Mody mouse. J. Clin. Invest. 103, 27–37 (1999).
Epstein, P. N., Overbeek, P. A. & Means, A. R. Calmodulin-induced early-onset diabetes in transgenic mice. Cell 58, 1067–1073 (1989).
Epstein, P. N., Ribar, T. J., Decker, G. L., Yaney, G. & Means, A. R. Elevated beta-cell calmodulin produces a unique insulin secretory defect in transgenic mice. Endocrinology 130, 1387–1393 (1992).
Zheng, S. et al. Development of late-stage diabetic nephropathy in OVE26 diabetic mice. Diabetes 53, 3248–3257 (2004).
Yuzawa, Y. et al. Overexpression of calmodulin in pancreatic β cells induces diabetic nephropathy. J. Am. Soc. Nephrol. 19, 1701–1711 (2008).
Xu, J., Huang, Y., Li, F., Zheng, S. & Epstein, P. N. FVB mouse genotype confers susceptibility to OVE26 diabetic albuminuria. Am. J. Physiol. Renal Physiol. 299, F487–F494 (2010).
Thibodeau, J. F. et al. A novel mouse model of advanced diabetic kidney disease. PLoS ONE. 9, e113459 (2014).
Surwit, R. S., Kuhn, C. M., Cochrane, C., McCubbin, J. A. & Feinglos, M. N. Diet-induced type II diabetes in C57BL/6J mice. Diabetes 37, 1163–1167 (1988).
Hariri, N. & Thibault, L. High-fat diet-induced obesity in animal models. Nutr. Res. Rev. 23, 270–299 (2010).
Chatzigeorgiou, A., Halapas, A., Kalafatakis, K. & Kamper, E. The use of animal models in the study of diabetes mellitus. In Vivo 23, 245–258 (2009).
Cowie, C. C. et al. Diabetic renal disease: racial and ethnic differences from an epidemiologic perspective. Transplant. Proc. 25, 2426–2430 (1993).
Krolewski, A. S., Warram, J. H., Rand, L. I. & Kahn, C. R. Epidemiologic approach to the etiology of type I diabetes mellitus and its complications. N. Engl. J. Med. 317, 1390–1398 (1987).
Parving, H. H. et al. Prevalence of microalbuminuria, arterial hypertension, retinopathy and neuropathy in patients with insulin dependent diabetes. Br. Med. J. 296, 156–160 (1988).
Andersen, A. R., Christiansen, J. S., Andersen, J. K., Kreiner, S. & Deckert, T. Diabetic nephropathy in Type 1 (insulin-dependent) diabetes: an epidemiological study. Diabetologia 25, 496–501 (1983).
de Boer, I. H. et al. Temporal trends in the prevalence of diabetic kidney disease in the United States. JAMA 305, 2532–2539 (2011).
Mayer, B. Using systems biology to evaluate targets and mechanism of action of drugs for diabetes comorbidities. Diabetologia 59, 2503–2506 (2016).
Ahlqvist, E., van Zuydam, N. R., Groop, L. C. & McCarthy, M. I. The genetics of diabetic complications. Nat. Rev. Nephrol. 11, 277–287 (2015).
Chang, J. H. et al. Diabetic kidney disease in FVB/NJ Akita mice: temporal pattern of kidney injury and urinary nephrin excretion. PLoS ONE. 7, e33942 (2012).
Chua, S. Jr et al. A susceptibility gene for kidney disease in an obese mouse model of type II diabetes maps to chromosome 8. Kidney Int. 78, 453–462 (2010).
Wang, Z. et al. Regulation of renal lipid metabolism, lipid accumulation, and glomerulosclerosis in FVBdb/db mice with type 2 diabetes. Diabetes 54, 2328–2335 (2005).
Sharma, K., McCue, P. & Dunn, S. R. Diabetic kidney disease in the db/db mouse. Am. J. Physiol. Renal Physiol. 284, F1138–F1144 (2003).
Fontaine, D. A. & Davis, D. B. Attention to background strain is essential for metabolic research: C57BL/6 and the International Knockout Mouse Consortium. Diabetes 65, 25–33 (2016).
Hummel, K. P., Coleman, D. L. & Lane, P. W. The influence of genetic background on expression of mutations at the diabetes locus in the mouse. I. C57BL-KsJ and C57BL-6J strains. Biochem. Genet. 7, 1–13 (1972).
Naggert, J. K., Mu, J. L., Frankel, W., Bailey, D. W. & Paigen, B. Genomic analysis of the C57BL/Ks mouse strain. Mamm. Genome. 6, 131–133 (1995).
Zhao, H. J. et al. Endothelial nitric oxide synthase deficiency produces accelerated nephropathy in diabetic mice. J. Am. Soc. Nephrol. 17, 2664–2669 (2006). One of the first descriptions of an accelerated model of DN in mice combining the db/db T2DM model with genetic deficiency of eNOS.
Mohan, S. et al. Diabetic eNOS knockout mice develop distinct macro- and microvascular complications. Lab Invest. 88, 515–528 (2008).
Zhang, M. Z. et al. Role of blood pressure and the renin-angiotensin system in development of diabetic nephropathy (DN) in eNOS−/−db/db mice. Am. J. Physiol. Renal Physiol. 302, F433–F438 (2012).
Nakagawa, T. et al. Diabetic endothelial nitric oxide synthase knockout mice develop advanced diabetic nephropathy. J. Am. Soc. Nephrol. 18, 539–550 (2007).
Kanetsuna, Y. et al. Deficiency of endothelial nitric-oxide synthase confers susceptibility to diabetic nephropathy in nephropathy-resistant inbred mice. Am. J. Pathol. 170, 1473–1484 (2007).
Forbes, M. S., Thornhill, B. A., Park, M. H. & Chevalier, R. L. Lack of endothelial nitric-oxide synthase leads to progressive focal renal injury. Am. J. Pathol. 170, 87–99 (2007).
Cheng, H., Wang, H., Fan, X., Paueksakon, P. & Harris, R. C. Improvement of endothelial nitric oxide synthase activity retards the progression of diabetic nephropathy in db/db mice. Kidney Int. 82, 1176–1183 (2012).
Caron, K. M. et al. A genetically clamped renin transgene for the induction of hypertension. Proc. Natl Acad. Sci. USA 99, 8248–8252 (2002).
Conway, B. R. et al. Hyperglycemia and renin-dependent hypertension synergize to model diabetic nephropathy. J. Am. Soc. Nephrol. 23, 405–411 (2012).
Heart Outcomes Prevention Evaluation (HOPE) Study Investigators. Effects of ramipril on cardiovascular and microvascular outcomes in people with diabetes mellitus: results of the HOPE study and MICRO-HOPE substudy. Lancet 355, 253–259 (2000).
Haller, H. et al. Olmesartan for the delay or prevention of microalbuminuria in type 2 diabetes. N. Engl. J. Med. 364, 907–917 (2011).
Hudkins, K. L. et al. BTBR Ob/Ob mutant mice model progressive diabetic nephropathy. J. Am. Soc. Nephrol. 21, 1533–1542 (2010).
Korzh, V. & Grunwald, D. Nadine Dobrovolskaïa-Zavadskaïa and the dawn of developmental genetics. Bioessays 23, 365–371 (2001).
Clee, S. M., Nadler, S. T. & Attie, A. D. Genetic and genomic studies of the BTBR ob/ob mouse model of type 2 diabetes. Am. J. Ther. 12, 491–498 (2005).
Pichaiwong, W. et al. Reversibility of structural and functional damage in a model of advanced diabetic nephropathy. J. Am. Soc. Nephrol. 24, 1088–1102 (2013).
Merscher-Gomez, S. et al. Cyclodextrin protects podocytes in diabetic kidney disease. Diabetes 62, 3817–3827 (2013).
Gembardt, F. et al. The SGLT2 inhibitor empagliflozin ameliorates early features of diabetic nephropathy in BTBR ob/ob type 2 diabetic mice with and without hypertension. Am. J. Physiol. Renal Physiol. 307, F317–F325 (2014).
Hodgin, J. B. et al. Identification of cross-species shared transcriptional networks of diabetic nephropathy in human and mouse glomeruli. Diabetes 62, 299–308 (2013). Comparison of the transcriptomic profiles of DN in mice and humans, identifying shared networks that can be useful for prioritizing relevant models.
Gangadharan, Komala, M. et al. Inhibition of kidney proximal tubular glucose reabsorption does not prevent against diabetic nephropathy in type 1 diabetic eNOS knockout mice. PLoS ONE. 9, e108994 (2014).
Mann, J. F. et al. Development of renal disease in people at high cardiovascular risk: results of the HOPE randomized study. J. Am. Soc. Nephrol. 14, 641–647 (2003).
Cortinovis, M., Ruggenenti, P. & Remuzzi, G. Progression, remission and regression of chronic renal diseases. Nephron 134, 20–24 (2016).
Lambers, Heerspink, H. J. & Gansevoort, R. T. Albuminuria is an appropriate therapeutic target in patients with CKD: the pro view. Clin. J. Am. Soc. Nephrol. 10, 1079–1088 (2015).
Zinman, B. et al. Empagliflozin, cardiovascular outcomes, and mortality in type 2 diabetes. N. Engl. J. Med. 373, 2117–2128 (2015).
Wanner, C. et al. Empagliflozin and progression of kidney disease in type 2 diabetes. N. Engl. J. Med. 375, 323–334 (2016).
Heerspink, H. J. et al. Canagliflozin slows progression of renal function decline independently of glycemic effects. J. Am. Soc. Nephrol. 28, 368–375 (2017).
Ly, J. P. et al. The sweet pee model for Sglt2 mutation. J. Am. Soc. Nephrol. 22, 113–123 (2011).
Ferrannini, E. & Solini, A. SGLT2 inhibition in diabetes mellitus: rationale and clinical prospects. Nat. Rev. Endocrinol. 8, 495–502 (2012).
Vallon, V. et al. SGLT2 inhibitor empagliflozin reduces renal growth and albuminuria in proportion to hyperglycemia and prevents glomerular hyperfiltration in diabetic Akita mice. Am. J. Physiol. Renal Physiol. 306, F194–F204 (2014).
Kawanami, D. et al. SGLT2 inhibitors as a therapeutic option for diabetic nephropathy. Int. J. Mol. Sci. 18, E1083 (2017).
Florez, J. C. Genetics of diabetic kidney disease. Semin. Nephrol. 36, 474–480 (2016).
Filla, L. A. & Edwards, J. L. Metabolomics in diabetic complications. Mol. Biosyst. 12, 1090–1105 (2016).
Brosius, F. C., Tuttle, K. R. & Kretzler, M. JAK inhibition in the treatment of diabetic kidney disease. Diabetologia 59, 1624–1627 (2016).
Sharma, K. et al. Metabolomics reveals signature of mitochondrial dysfunction in diabetic kidney disease. J. Am. Soc. Nephrol. 24, 1901–1912 (2013).
You, Y. H., Quach, T., Saito, R., Pham, J. & Sharma, K. Metabolomics reveals a key role for fumarate in mediating the effects of NADPH Oxidase 4 in diabetic kidney disease. J. Am. Soc. Nephrol. 27, 466–481 (2016).
Liu, J. -J. et al. Profiling of plasma metabolites suggests altered mitochondrial fuel usage and remodeling of sphingolipid metabolism in individuals with type 2 diabetes and kidney disease. Kidney Int. Rep. 2, 470–480 (2016).
Kang, H. M. et al. Defective fatty acid oxidation in renal tubular epithelial cells has a key role in kidney fibrosis development. Nat. Med. 21, 37–46 (2015).
Sander, J. D. & Joung, J. K. CRISPR-Cas systems for editing, regulating and targeting genomes. Nat. Biotechnol. 32, 347–355 (2014).
Ran, F. A. et al. Genome engineering using the CRISPR-Cas9 system. Nat. Protoc. 8, 2281–2308 (2013).
Reddy, M. A., Zhang, E. & Natarajan, R. Epigenetic mechanisms in diabetic complications and metabolic memory. Diabetologia 58, 443–455 (2015).
Schones, D. E., Leung, A. & Natarajan, R. Chromatin modifications associated with diabetes and obesity. Arterioscler. Thromb. Vasc. Biol. 35, 1557–1561 (2015).
Keating, S. T., Plutzky, J. & El-Osta, A. Epigenetic changes in diabetes and cardiovascular risk. Circ. Res. 118, 1706–1722 (2016).
Acknowledgements
The authors' work in this area has been supported by grants from the NIH (including 5U01DK076136 and funding from the Diabetes Complications Consortium), and the Singapore National Medical Research Council (NMRC/OFLCG/001/2017).
Author information
Authors and Affiliations
Contributions
All authors researched the data for the article, discussed its content, and contributed to writing and editing the manuscript before submission.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing financial interests.
Related links
DATABASES
Rights and permissions
About this article
Cite this article
Azushima, K., Gurley, S. & Coffman, T. Modelling diabetic nephropathy in mice. Nat Rev Nephrol 14, 48–56 (2018). https://doi.org/10.1038/nrneph.2017.142
Published:
Issue Date:
DOI: https://doi.org/10.1038/nrneph.2017.142
This article is cited by
-
The intervention of cannabinoid receptor in chronic and acute kidney disease animal models: a systematic review and meta-analysis
Diabetology & Metabolic Syndrome (2024)
-
Single-cell transcriptome atlas in C57BL/6 mice encodes morphological phenotypes in the aging kidneys
BMC Nephrology (2024)
-
Angiotensin II type 1 receptor-associated protein deletion combined with angiotensin II stimulation accelerates the development of diabetic kidney disease in mice on a C57BL/6 strain
Hypertension Research (2024)
-
VariantscanR: an R-package as a clinical tool for variant filtering of known phenotype-associated variants in domestic animals
BMC Bioinformatics (2023)
-
Diabetic vascular diseases: molecular mechanisms and therapeutic strategies
Signal Transduction and Targeted Therapy (2023)