Modelling acute renal failure using blood and breath biomarkers in rats

Type of content
Journal Article
Thesis discipline
Degree name
Publisher
University of Canterbury. Electrical and Computer Engineering
University of Canterbury. Mechanical Engineering
Journal Title
Journal ISSN
Volume Title
Language
Date
2011
Authors
Moorhead, K.T.
Hill, J.
Chase, Geoff
Hann, C.E.
Scotter, J.
Storer, M.K.
Endre, Z.H.
Abstract

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.

Description
Invited. Available online 21 August 2010
Citation
Moorhead, K.T., Hill, J., Chase, J.G., Hann, C.E., Scotter, J., Storer, M.K., Endre, Z.H. (2011) Modelling acute renal failure using blood and breath biomarkers in rats. Computer Methods and Programs in Biomedicine, 101(2), pp. 173-182.
Keywords
Renal function, Breath biomarkers, Integral fitting method, Model-based approximation, Tracer kinetics, Differential equations
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
Field of Research::09 - Engineering::0903 - Biomedical Engineering
Field of Research::11 - Medical and Health Sciences::1102 - Cardiovascular Medicine and Haematology
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