Modelling acute renal failure using blood and breath biomarkers in rats.

Autor: Moorhead KT; Department of Mechanical Engineering, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand. ktm19@student.canterbury.ac.nz, Hill JV, Chase JG, Hann CE, Scotter JM, Storer MK, Endre ZH
Jazyk: angličtina
Zdroj: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2011 Feb; Vol. 101 (2), pp. 173-82. Date of Electronic Publication: 2010 Aug 21.
DOI: 10.1016/j.cmpb.2010.07.010
Abstrakt: This paper compares three methods for estimating renal function, as tested in rats. Acute renal failure (ARF) was induced via a 60-min bilateral renal artery clamp in 8 Sprague-Dawley rats and renal function was monitored for 1 week post-surgery. A two-compartment model was developed for estimating glomerular filtration via a bolus injection of a radio-labelled inulin tracer, and was compared with an estimated creatinine clearance method, modified using the Cockcroft-Gault equation for rats. These two methods were compared with selected ion flow tube-mass spectrometry (SIFT-MS) monitoring of breath analytes. Determination of renal function via SIFT-MS is desirable since results are available non-invasively and in real time. Relative decreases in renal function show very good correlation between all 3 methods (R²=0.84, 0.91 and 0.72 for breath-inulin, inulin-creatinine, and breath-creatinine correlations, respectively), and indicate good promise for fast, non-invasive determination of renal function via breath testing.
(Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.)
Databáze: MEDLINE
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