Literature DB >> 24292917

Measuring dynamic kidney function in an undergraduate physiology laboratory.

Scott Medler1, Frederick Harrington.   

Abstract

Most undergraduate physiology laboratories are very limited in how they treat renal physiology. It is common to find teaching laboratories equipped with the capability for high-resolution digital recordings of physiological functions (muscle twitches, ECG, action potentials, respiratory responses, etc.), but most urinary laboratories still rely on a "dipstick" approach of urinalysis. Although this technique can provide some basic insights into the functioning of the kidneys, it overlooks the dynamic processes of filtration, reabsorption, and secretion. In the present article, we provide a straightforward approach of using renal clearance measurements to estimate glomerular filtration rate, fractional water reabsorption, glucose clearance, and other physiologically relevant parameters. The estimated values from our measurements in laboratory are in close agreement with those anticipated based on textbook parameters. For example, we found glomerular filtration rate to average 124 ± 45 ml/min, serum creatinine to be 1.23 ± 0.4 mg/dl, and fractional water reabsorption to be ∼96.8%. Furthermore, analyses for the class data revealed significant correlations between parameters like fractional water reabsorption and urine concentration, providing opportunities to discuss urine concentrating mechanisms and other physiological processes. The procedures outlined here are general enough that most undergraduate physiology laboratory courses should be able to implement them without difficulty.

Entities:  

Keywords:  glomerular filtration rate; kidney; renal clearance; undergraduate laboratory

Mesh:

Year:  2013        PMID: 24292917     DOI: 10.1152/advan.00057.2013

Source DB:  PubMed          Journal:  Adv Physiol Educ        ISSN: 1043-4046            Impact factor:   2.288


  3 in total

1.  Brain structure and perfusion in relation to serum renal function indexes in healthy young adults.

Authors:  Siyu Liu; Chunli Wang; Ying Yang; Huanhuan Cai; Min Zhang; Li Si; Shujun Zhang; Yuanhong Xu; Jiajia Zhu; Yongqiang Yu
Journal:  Brain Imaging Behav       Date:  2021-10-28       Impact factor: 3.978

2.  Is urinary density an adequate predictor of urinary osmolality?

Authors:  Ana Carolina P Souza; Roberto Zatz; Rodrigo B de Oliveira; Mirela A R Santinho; Marcia Ribalta; João E Romão; Rosilene M Elias
Journal:  BMC Nephrol       Date:  2015-04-08       Impact factor: 2.388

3.  Exogenous spermine attenuates diabetic kidney injury in rats by inhibiting AMPK/mTOR signaling pathway.

Authors:  Xinying Zhang; Li Zhang; Zhe Chen; Siwei Li; Bingbing Che; Ningning Wang; Junting Chen; Changqing Xu; Can Wei
Journal:  Int J Mol Med       Date:  2021-02-04       Impact factor: 4.101

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.