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Neurophysiological modeling of bladder afferent activity in the rat overactive bladder model

Overview of attention for article published in The Journal of Physiological Sciences, March 2015
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Title
Neurophysiological modeling of bladder afferent activity in the rat overactive bladder model
Published in
The Journal of Physiological Sciences, March 2015
DOI 10.1007/s12576-015-0370-y
Pubmed ID
Authors

Mahipal Choudhary, Els van Asselt, Ron van Mastrigt, Francesco Clavica

Abstract

The overactive bladder (OAB) is a syndrome-based urinary dysfunction characterized by "urgency, with or without urge incontinence, usually with frequency and nocturia". Earlier we developed a mathematical model of bladder nerve activity during voiding in anesthetized rats and found that the nerve activity in the relaxation phase of voiding contractions was all afferent. In the present study, we applied this mathematical model to an acetic acid (AA) rat model of bladder overactivity to study the sensitivity of afferent fibers in intact nerves to bladder pressure and volume changes. The afferent activity in the filling phase and the slope, i.e., the sensitivity of the afferent fibers to pressure changes in the post-void relaxation phase, were found to be significantly higher in AA than in saline measurements, while the offset (nerve activity at pressure ~0) and maximum pressure were comparable. We have thus shown, for the first time, that the sensitivity of afferent fibers in the OAB can be studied without cutting nerves or preparation of single fibers. We conclude that bladder overactivity induced by AA in rats is neurogenic in origin and is caused by increased sensitivity of afferent sensors in the bladder wall.

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The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 18%
Student > Ph. D. Student 5 11%
Student > Master 5 11%
Student > Bachelor 4 9%
Student > Doctoral Student 4 9%
Other 8 18%
Unknown 10 23%
Readers by discipline Count As %
Engineering 10 23%
Neuroscience 8 18%
Medicine and Dentistry 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Materials Science 2 5%
Other 7 16%
Unknown 11 25%