Literature DB >> 29062142

Modelling diabetic nephropathy in mice.

Kengo Azushima1,2, Susan B Gurley3, Thomas M Coffman1,3.   

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.

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Year:  2017        PMID: 29062142     DOI: 10.1038/nrneph.2017.142

Source DB:  PubMed          Journal:  Nat Rev Nephrol        ISSN: 1759-5061            Impact factor:   28.314


  95 in total

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Journal:  Am J Physiol Renal Physiol       Date:  2010-07-07

4.  Effects of ramipril on cardiovascular and microvascular outcomes in people with diabetes mellitus: results of the HOPE study and MICRO-HOPE substudy. Heart Outcomes Prevention Evaluation Study Investigators.

Authors: 
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5.  Familial factors determine the development of diabetic nephropathy in patients with IDDM.

Authors:  M Quinn; M C Angelico; J H Warram; A S Krolewski
Journal:  Diabetologia       Date:  1996-08       Impact factor: 10.122

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Authors:  Sumathy Mohan; Robert L Reddick; Nicolas Musi; Diane A Horn; Bo Yan; Thomas J Prihoda; Mohan Natarajan; Sherry L Abboud-Werner
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9.  Improvement of endothelial nitric oxide synthase activity retards the progression of diabetic nephropathy in db/db mice.

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Authors:  Jae-Hyung Chang; Seung-Yeol Paik; Lan Mao; William Eisner; Patrick J Flannery; Liming Wang; Yuping Tang; Natalie Mattocks; Samy Hadjadj; Jean-Michel Goujon; Phillip Ruiz; Susan B Gurley; Robert F Spurney
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  40 in total

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Authors:  Susan B Gurley; Sujoy Ghosh; Stacy A Johnson; Kengo Azushima; Rashidah Binte Sakban; Simi E George; Momoe Maeda; Timothy W Meyer; Thomas M Coffman
Journal:  Diabetes       Date:  2018-07-31       Impact factor: 9.461

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6.  Lipoxins Regulate the Early Growth Response-1 Network and Reverse Diabetic Kidney Disease.

Authors:  Eoin P Brennan; Muthukumar Mohan; Aaron McClelland; Christos Tikellis; Mark Ziemann; Antony Kaspi; Stephen P Gray; Raelene Pickering; Sih Min Tan; Syed Tasadaque Ali-Shah; Patrick J Guiry; Assam El-Osta; Karin Jandeleit-Dahm; Mark E Cooper; Catherine Godson; Phillip Kantharidis
Journal:  J Am Soc Nephrol       Date:  2018-02-28       Impact factor: 10.121

7.  Modeling injury and repair in kidney organoids reveals that homologous recombination governs tubular intrinsic repair.

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9.  p53/microRNA-214/ULK1 axis impairs renal tubular autophagy in diabetic kidney disease.

Authors:  Zhengwei Ma; Lin Li; Man J Livingston; Dongshan Zhang; Qingsheng Mi; Ming Zhang; Han-Fei Ding; Yuqing Huo; Changlin Mei; Zheng Dong
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10.  Investigation of the Mechanism of Complement System in Diabetic Nephropathy via Bioinformatics Analysis.

Authors:  Bojun Xu; Lei Wang; Huakui Zhan; Liangbin Zhao; Yuehan Wang; Meng Shen; Keyang Xu; Li Li; Xu Luo; Shasha Zhou; Anqi Tang; Gang Liu; Lu Song; Yan Li
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