Literature DB >> 17219778

Validation of high-throughput methods for measuring blood urea nitrogen and urinary albumin concentrations in mice.

Susan Grindle1, Cheryl Garganta, Susan Sheehan, Joe Gile, Andree Lapierre, Harry Whitmore, Beverly Paigen, Keith DiPetrillo.   

Abstract

Chronic kidney disease is a substantial medical and economic burden. Animal models, including mice, are a crucial component of kidney disease research; however, recent studies disprove the ability of autoanalyzer methods to accurately quantify plasma creatinine levels, an established marker of kidney disease, in mice. Therefore, we validated autoanalyzer methods for measuring blood urea nitrogen (BUN) and urinary albumin concentrations, 2 common markers of kidney disease, in samples from mice. We used high-performance liquid chromatography to validate BUN concentrations measured using an autoanalyzer, and we utilized mouse albumin standards to determine the accuracy of the autoanalyzer over a wide range of albumin concentrations. We observed a significant, linear correlation between BUN concentrations measured by autoanalyzer and high-performance liquid chromatography. We also found a linear relationship between known and measured albumin concentrations, although the autoanalyzer method underestimated the known amount of albumin by 3.5- to 4-fold. We confirmed that plasma and urine constituents do not interfere with the autoanalyzer methods for measuring BUN and urinary albumin concentrations. In addition, we verified BUN and albuminuria as useful markers to detect kidney disease in aged mice and mice with 5/6-nephrectomy. We conclude that autoanalyzer methods are suitable for high-throughput analysis of BUN and albumin concentrations in mice. The autoanalyzer accurately quantifies BUN concentrations in mouse plasma samples and is useful for measuring urinary albumin concentrations when used with mouse albumin standards.

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Year:  2006        PMID: 17219778

Source DB:  PubMed          Journal:  Comp Med        ISSN: 1532-0820            Impact factor:   0.982


  7 in total

1.  Uncovering genes and regulatory pathways related to urinary albumin excretion.

Authors:  Rachael S Hageman; Magalie S Leduc; Christina R Caputo; Shirng-Wern Tsaih; Gary A Churchill; Ron Korstanje
Journal:  J Am Soc Nephrol       Date:  2010-10-28       Impact factor: 10.121

2.  Aging Research Using Mouse Models.

Authors:  Cheryl L Ackert-Bicknell; Laura C Anderson; Susan Sheehan; Warren G Hill; Bo Chang; Gary A Churchill; Elissa J Chesler; Ron Korstanje; Luanne L Peters
Journal:  Curr Protoc Mouse Biol       Date:  2015-06-01

3.  A major X-linked locus affects kidney function in mice.

Authors:  Magalie S Leduc; Holly S Savage; Timothy M Stearns; Clinton L Cario; Kenneth A Walsh; Beverly Paigen; Annerose Berndt
Journal:  Mol Genet Genomics       Date:  2012-09-26       Impact factor: 3.291

4.  Quantitative trait loci for urinary albumin in crosses between C57BL/6J and A/J inbred mice in the presence and absence of Apoe.

Authors:  Carolien Doorenbos; Shirng-Wern Tsaih; Susan Sheehan; Naoki Ishimori; Gerjan Navis; Gary Churchill; Keith Dipetrillo; Ron Korstanje
Journal:  Genetics       Date:  2008-05       Impact factor: 4.562

5.  Targeted deletion of alpha-adducin results in absent beta- and gamma-adducin, compensated hemolytic anemia, and lethal hydrocephalus in mice.

Authors:  Raymond F Robledo; Steven L Ciciotte; Babette Gwynn; Kenneth E Sahr; Diana M Gilligan; Narla Mohandas; Luanne L Peters
Journal:  Blood       Date:  2008-08-22       Impact factor: 22.113

6.  Genetic analysis of albuminuria in collaborative cross and multiple mouse intercross populations.

Authors:  Jill Thaisz; Shirng-Wern Tsaih; Minjie Feng; Vivek M Philip; Yunyu Zhang; Liane Yanas; Susan Sheehan; Lingfei Xu; Darla R Miller; Beverly Paigen; Elissa J Chesler; Gary A Churchill; Keith Dipetrillo
Journal:  Am J Physiol Renal Physiol       Date:  2012-08-01

7.  Genome-wide association mapping of quantitative traits in outbred mice.

Authors:  Weidong Zhang; Ron Korstanje; Jill Thaisz; Frank Staedtler; Nicole Harttman; Lingfei Xu; Minjie Feng; Liane Yanas; Hyuna Yang; William Valdar; Gary A Churchill; Keith Dipetrillo
Journal:  G3 (Bethesda)       Date:  2012-02-01       Impact factor: 3.154

  7 in total

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