4.7 Article

Modelling acute renal failure using blood and breath biomarkers in rats

Journal

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Volume 101, Issue 2, Pages 173-182

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.cmpb.2010.07.010

Keywords

Renal function; Breath biomarkers; Integral fitting method; Model-based approximation; Tracer kinetics; Differential equations

Funding

  1. New Zealand Tertiary Education Commission [UOCX5011]

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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 (R(2) = 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. (C) 2010 Elsevier Ireland Ltd. All rights reserved.

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