Literature DB >> 35429495

The impact of genetic background on mouse models of kidney disease.

Rei Bufi1, Ron Korstanje2.   

Abstract

The mouse is the most commonly used mammalian model to study disease, including kidney disease. However, close attention needs to be paid to the differences and effects of genetic background. The default choice of most investigators is to use C57BL/6 mice, but not all C57BL/6 mice are the same. Ever since the C57BL/6 line was first established, differences in the genetic background have risen between substrains, which have major implications in the phenotypes expressed in kidney disease. Furthermore, considering that C57BL/6 substrains are relatively resistant to kidney damage, there can be major benefits in selecting other mouse inbred strains when studying kidney disease. These strains can show more similar responses regarding kidney damage as in humans, and results may therefore translate better to human application. Genetically diverse mice, such as the Diversity Outbred mice, allow investigators to study kidney phenotypes with comparable levels of genetic diversity as seen in humans, which yield results that more closely reflect the variation in human disease outcomes due to genetic variation. Hence, embracing the genetic diversity that is present in mice can lead to better translational research methods. Investigators need to always take into consideration that genetic background is a variable that can alter results significantly, and optimization of translational research asks for careful strain selection and more rigorous reporting of the genetic background that is being used in experiment.
Copyright © 2022 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  genetic background; genetic diversity; kidney disease; mouse model; translational research

Mesh:

Year:  2022        PMID: 35429495      PMCID: PMC9233094          DOI: 10.1016/j.kint.2022.03.020

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   18.998


  56 in total

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Journal:  J Am Soc Nephrol       Date:  2019-09-26       Impact factor: 10.121

2.  Age dependence of glucose tolerance in adult KK-Ay mice, a model of non-insulin dependent diabetes mellitus.

Authors:  Goutam Chakraborty; Sherin Thumpayil; David-Erick Lafontant; Wolde Woubneh; Jeffrey H Toney
Journal:  Lab Anim (NY)       Date:  2009-11       Impact factor: 12.625

3.  Characterization of susceptibility of inbred mouse strains to diabetic nephropathy.

Authors:  Zhonghua Qi; Hiroki Fujita; Jianping Jin; Linda S Davis; Yihan Wang; Agnes B Fogo; Matthew D Breyer
Journal:  Diabetes       Date:  2005-09       Impact factor: 9.461

Review 4.  Diabetic kidney disease in the db/db mouse.

Authors:  Kumar Sharma; Peter McCue; Stephen R Dunn
Journal:  Am J Physiol Renal Physiol       Date:  2003-06

5.  Repeated administration of low-dose cisplatin in mice induces fibrosis.

Authors:  Cierra N Sharp; Mark A Doll; Tess V Dupre; Parag P Shah; Marimuthu Subathra; Deanna Siow; Gavin E Arteel; Judit Megyesi; Levi J Beverly; Leah J Siskind
Journal:  Am J Physiol Renal Physiol       Date:  2016-01-06

Review 6.  Early Predictors of Acute Kidney Injury: A Narrative Review.

Authors:  Xiaoqin Liu; Yi Guan; Sheng Xu; Qingzhao Li; Yuanbo Sun; Ruijie Han; Chunyang Jiang
Journal:  Kidney Blood Press Res       Date:  2016-09-28       Impact factor: 2.687

7.  Long-Term Renal Outcomes after Cisplatin Treatment.

Authors:  Sheron Latcha; Edgar A Jaimes; Sujata Patil; Ilya G Glezerman; Swati Mehta; Carlos D Flombaum
Journal:  Clin J Am Soc Nephrol       Date:  2016-04-12       Impact factor: 8.237

8.  DBA2J db/db mice are susceptible to early albuminuria and glomerulosclerosis that correlate with systemic insulin resistance.

Authors:  Mette V Østergaard; Vanda Pinto; Kirsty Stevenson; Jesper Worm; Lisbeth N Fink; Richard J M Coward
Journal:  Am J Physiol Renal Physiol       Date:  2016-11-16

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Authors:  Samuel J Jackson; Nick Andrews; Doug Ball; Ilaria Bellantuono; James Gray; Lamia Hachoumi; Alan Holmes; Judy Latcham; Anja Petrie; Paul Potter; Andrew Rice; Alison Ritchie; Michelle Stewart; Carol Strepka; Mark Yeoman; Kathryn Chapman
Journal:  Lab Anim       Date:  2016-07-10       Impact factor: 2.471

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Journal:  J Exp Med       Date:  2008-12-22       Impact factor: 14.307

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  2 in total

Review 1.  UMOD and the architecture of kidney disease.

Authors:  Olivier Devuyst; Murielle Bochud; Eric Olinger
Journal:  Pflugers Arch       Date:  2022-07-26       Impact factor: 4.458

Review 2.  Cisplatin-Induced Kidney Toxicity: Potential Roles of Major NAD+-Dependent Enzymes and Plant-Derived Natural Products.

Authors:  Amany Iskander; Liang-Jun Yan
Journal:  Biomolecules       Date:  2022-08-05
  2 in total

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