Diagnosis of type II diabetes based on non-glucose regions of ¹H NMR spectra of urine : a metabonomic approach

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TypeArticle
Journal titleRevista de Chimie
ISSN0034-7752
Volume62
Issue12
Pages11501153; # of pages: 4
SubjectNMR spectroscopy; urinary metabolites; diabetes; statistical classification; chemometry
AbstractA NMR dataset with non-buffered urine samples consisting of 73 controls and 94 type II diabetes was suojeci to an in-house statistical classifier. A model was developed based on two glucose-free regions of the spectrum and those maximally discriminatory subregions selected most often by the algorithm were noted. The final classifier achieved 83.0% sensitivity and 83.6% specificity, with 83.2% overall accuracy. There were five spectral subregions selected by the algorithm as most relevant for discrimination. The protocol works well with non-buffered samples and has the potential for an automated clinical diagnosis of diabetes.
Publication date
PublisherAsociatia stiintifica a inginerilor si tehnicienilor din RPR
Linkhttp://www.revistadechimie.ro/article_eng.asp?ID=3147
LanguageEnglish
AffiliationNRC Institute for Biodiagnostics; National Research Council Canada
Peer reviewedYes
NPARC number19688663
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Record identifier3807bbf3-7f74-4532-8207-3e8cdd0a8fb2
Record created2012-03-22
Record modified2016-08-19
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