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A NEW approach for characterizing mouse urinary pathophysiologies

The void spot assay (VSA) is a cost‐effective method for evaluating and quantifying mouse urinary voiding phenotypes. The VSA has been used to differentiate voiding behaviors between experimental groups, but not as a diagnostic assay. To build toward this goal, we used the VSA to define voiding patt...

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Autores principales: Ruetten, Hannah M., Henry, Gervaise H., Liu, Teresa T., Spratt, Heidi M., Ricke, William A., Strand, Douglas W., Vezina, Chad M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8326900/
https://www.ncbi.nlm.nih.gov/pubmed/34337899
http://dx.doi.org/10.14814/phy2.14964
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author Ruetten, Hannah M.
Henry, Gervaise H.
Liu, Teresa T.
Spratt, Heidi M.
Ricke, William A.
Strand, Douglas W.
Vezina, Chad M.
author_facet Ruetten, Hannah M.
Henry, Gervaise H.
Liu, Teresa T.
Spratt, Heidi M.
Ricke, William A.
Strand, Douglas W.
Vezina, Chad M.
author_sort Ruetten, Hannah M.
collection PubMed
description The void spot assay (VSA) is a cost‐effective method for evaluating and quantifying mouse urinary voiding phenotypes. The VSA has been used to differentiate voiding behaviors between experimental groups, but not as a diagnostic assay. To build toward this goal, we used the VSA to define voiding patterns of male mice with diabetic diuresis (BTBR.Cg‐Lep (ob) /WiscJ mice), irritative urinary dysfunction (E. coli UTI89 urinary tract infection), and obstructive urinary dysfunction (testosterone and estradiol slow‐release implants) compared to their respective controls. Many studies compare individual VSA endpoints (urine spot size, quantity, or distribution) between experimental groups. Here, we consider all endpoints collectively to establish VSA phenomes of mice with three different etiologies of voiding dysfunction. We created an approach called normalized endpoint work through (NEW) to normalize VSA outputs to control mice, and then applied principal components analysis and hierarchical clustering to 12 equally weighted, normalized, scaled, and zero‐centered VSA outcomes collected from each mouse (the VSA phenome). This approach accurately classifies mice based on voiding dysfunction etiology. We used principal components analysis and hierarchical clustering to show that some aged mice (>24 m old) develop an obstructive or a diabetic diuresis VSA phenotype while others develop a unique phenotype that does not cluster with that of diabetic, infected, or obstructed mice. These findings support use of the VSA to identify specific urinary phenotypes in mice and the continued use of aged mice as they develop urinary dysfunction representative of the various etiologies of LUTS in men.
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spelling pubmed-83269002021-08-06 A NEW approach for characterizing mouse urinary pathophysiologies Ruetten, Hannah M. Henry, Gervaise H. Liu, Teresa T. Spratt, Heidi M. Ricke, William A. Strand, Douglas W. Vezina, Chad M. Physiol Rep Original Articles The void spot assay (VSA) is a cost‐effective method for evaluating and quantifying mouse urinary voiding phenotypes. The VSA has been used to differentiate voiding behaviors between experimental groups, but not as a diagnostic assay. To build toward this goal, we used the VSA to define voiding patterns of male mice with diabetic diuresis (BTBR.Cg‐Lep (ob) /WiscJ mice), irritative urinary dysfunction (E. coli UTI89 urinary tract infection), and obstructive urinary dysfunction (testosterone and estradiol slow‐release implants) compared to their respective controls. Many studies compare individual VSA endpoints (urine spot size, quantity, or distribution) between experimental groups. Here, we consider all endpoints collectively to establish VSA phenomes of mice with three different etiologies of voiding dysfunction. We created an approach called normalized endpoint work through (NEW) to normalize VSA outputs to control mice, and then applied principal components analysis and hierarchical clustering to 12 equally weighted, normalized, scaled, and zero‐centered VSA outcomes collected from each mouse (the VSA phenome). This approach accurately classifies mice based on voiding dysfunction etiology. We used principal components analysis and hierarchical clustering to show that some aged mice (>24 m old) develop an obstructive or a diabetic diuresis VSA phenotype while others develop a unique phenotype that does not cluster with that of diabetic, infected, or obstructed mice. These findings support use of the VSA to identify specific urinary phenotypes in mice and the continued use of aged mice as they develop urinary dysfunction representative of the various etiologies of LUTS in men. John Wiley and Sons Inc. 2021-08-02 /pmc/articles/PMC8326900/ /pubmed/34337899 http://dx.doi.org/10.14814/phy2.14964 Text en © 2021 The Authors. Physiological Reports published by Wiley Periodicals LLC on behalf of The Physiological Society and the American Physiological Society. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Ruetten, Hannah M.
Henry, Gervaise H.
Liu, Teresa T.
Spratt, Heidi M.
Ricke, William A.
Strand, Douglas W.
Vezina, Chad M.
A NEW approach for characterizing mouse urinary pathophysiologies
title A NEW approach for characterizing mouse urinary pathophysiologies
title_full A NEW approach for characterizing mouse urinary pathophysiologies
title_fullStr A NEW approach for characterizing mouse urinary pathophysiologies
title_full_unstemmed A NEW approach for characterizing mouse urinary pathophysiologies
title_short A NEW approach for characterizing mouse urinary pathophysiologies
title_sort new approach for characterizing mouse urinary pathophysiologies
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8326900/
https://www.ncbi.nlm.nih.gov/pubmed/34337899
http://dx.doi.org/10.14814/phy2.14964
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