Modelling acute renal failure using blood and breath biomarkers in rats
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 es...
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| Veröffentlicht in: | Computer methods and programs in biomedicine 2011-02, Vol.101 (2), p.173-182 |
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| creator | Moorhead, Katherine T Hill, Jonathan V Chase, J. Geoffrey Hann, Christopher E Scotter, Jennifer M Storer, Malina K Endre, Zoltan H |
| description | 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. |
| doi_str_mv | 10.1016/j.cmpb.2010.07.010 |
| format | Article |
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Geoffrey ; Hann, Christopher E ; Scotter, Jennifer M ; Storer, Malina K ; Endre, Zoltan H</creator><creatorcontrib>Moorhead, Katherine T ; Hill, Jonathan V ; Chase, J. Geoffrey ; Hann, Christopher E ; Scotter, Jennifer M ; Storer, Malina K ; Endre, Zoltan H</creatorcontrib><description>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><identifier>ISSN: 0169-2607</identifier><identifier>EISSN: 1872-7565</identifier><identifier>DOI: 10.1016/j.cmpb.2010.07.010</identifier><identifier>PMID: 20728235</identifier><language>eng</language><publisher>Ireland: Elsevier Ireland Ltd</publisher><subject>Acute Kidney Injury - physiopathology ; Animals ; Arteries ; Biomarkers - analysis ; Breath biomarkers ; Computer programs ; Correlation ; Differential equations ; Estimating ; Failure ; Glomerular Filtration Rate ; Integral fitting method ; Internal Medicine ; Mass Spectrometry ; Mathematical models ; Model-based approximation ; Models, Theoretical ; Other ; Rats ; Renal function ; Tracer kinetics</subject><ispartof>Computer methods and programs in biomedicine, 2011-02, Vol.101 (2), p.173-182</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2010 Elsevier Ireland Ltd</rights><rights>Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c519t-3b5d242c36ecf394ff6224da05ffb642d8279dd839a00b847450424efa0d455a3</citedby><cites>FETCH-LOGICAL-c519t-3b5d242c36ecf394ff6224da05ffb642d8279dd839a00b847450424efa0d455a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0169260710001975$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20728235$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Moorhead, Katherine T</creatorcontrib><creatorcontrib>Hill, Jonathan V</creatorcontrib><creatorcontrib>Chase, J. Geoffrey</creatorcontrib><creatorcontrib>Hann, Christopher E</creatorcontrib><creatorcontrib>Scotter, Jennifer M</creatorcontrib><creatorcontrib>Storer, Malina K</creatorcontrib><creatorcontrib>Endre, Zoltan H</creatorcontrib><title>Modelling acute renal failure using blood and breath biomarkers in rats</title><title>Computer methods and programs in biomedicine</title><addtitle>Comput Methods Programs Biomed</addtitle><description>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><subject>Acute Kidney Injury - physiopathology</subject><subject>Animals</subject><subject>Arteries</subject><subject>Biomarkers - analysis</subject><subject>Breath biomarkers</subject><subject>Computer programs</subject><subject>Correlation</subject><subject>Differential equations</subject><subject>Estimating</subject><subject>Failure</subject><subject>Glomerular Filtration Rate</subject><subject>Integral fitting method</subject><subject>Internal Medicine</subject><subject>Mass Spectrometry</subject><subject>Mathematical models</subject><subject>Model-based approximation</subject><subject>Models, Theoretical</subject><subject>Other</subject><subject>Rats</subject><subject>Renal function</subject><subject>Tracer kinetics</subject><issn>0169-2607</issn><issn>1872-7565</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkk9rFTEUxYMo9ln9Ai4kO93Ma3LzbwZEKEWrUOlCXYdMckfzOm_yTGaEfvtmeNWFi3Z1IfmdA_eeQ8hrzraccX222_r9od8Cqw_MbOt4Qja8NdAYpdVTsqlQ14Bm5oS8KGXHGAOl9HNyAsxAC0JtyOXXFHAc4_STOr_MSDNObqSDi-OSkS5l_enHlAJ1U6B9Rjf_on1Me5dvMBcaJ5rdXF6SZ4MbC766n6fkx6eP3y8-N1fXl18uzq8ar3g3N6JXASR4odEPopPDoAFkcEwNQ68lhBZMF0IrOsdY30ojFZMgcXAsSKWcOCVvj76HnH4vWGa7j8XXDdyEaSm2bUUVdFo_TiohDWe6reS7B0muDQdQAkxF4Yj6nErJONhDjvUUt5Yzu4Zid3YNxa6hWGZsHVX05t5_6fcY_kn-plCB90cA6-X-RMy2-IiTxxAz-tmGFB_2__Cf3NdAo3fjDd5i2aUl10zrHraAZfbbWou1FbwWgndGiTt2a7CJ</recordid><startdate>20110201</startdate><enddate>20110201</enddate><creator>Moorhead, Katherine T</creator><creator>Hill, Jonathan V</creator><creator>Chase, J. 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Geoffrey ; Hann, Christopher E ; Scotter, Jennifer M ; Storer, Malina K ; Endre, Zoltan H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c519t-3b5d242c36ecf394ff6224da05ffb642d8279dd839a00b847450424efa0d455a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Acute Kidney Injury - physiopathology</topic><topic>Animals</topic><topic>Arteries</topic><topic>Biomarkers - analysis</topic><topic>Breath biomarkers</topic><topic>Computer programs</topic><topic>Correlation</topic><topic>Differential equations</topic><topic>Estimating</topic><topic>Failure</topic><topic>Glomerular Filtration Rate</topic><topic>Integral fitting method</topic><topic>Internal Medicine</topic><topic>Mass Spectrometry</topic><topic>Mathematical models</topic><topic>Model-based approximation</topic><topic>Models, Theoretical</topic><topic>Other</topic><topic>Rats</topic><topic>Renal function</topic><topic>Tracer kinetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moorhead, Katherine T</creatorcontrib><creatorcontrib>Hill, Jonathan V</creatorcontrib><creatorcontrib>Chase, J. 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| subjects | Acute Kidney Injury - physiopathology Animals Arteries Biomarkers - analysis Breath biomarkers Computer programs Correlation Differential equations Estimating Failure Glomerular Filtration Rate Integral fitting method Internal Medicine Mass Spectrometry Mathematical models Model-based approximation Models, Theoretical Other Rats Renal function Tracer kinetics |
| title | Modelling acute renal failure using blood and breath biomarkers in rats |
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