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Title: Hair metabolomics: identification of fetal compromise provides proof of concept for biomarker discovery.
Authors: Sulek, K.
Han, T. L.
Villas-Boas, S. G.
Wishart, D. S.
Soh, S. E.
Kwek, K.
Gluckman, P. D.
Chong, Y. S.
Kenny, L. C.
Baker, Philip Newton
First Published: 20-Jul-2014
Publisher: Ivyspring International Publisher
Citation: Theranostics, 2014, 4 (9), pp. 953-959
Abstract: Analysis of the human metabolome has yielded valuable insights into health, disease and toxicity. However, the metabolic profile of complex biological fluids such as blood is highly dynamic and this has limited the discovery of robust biomarkers. Hair grows relatively slowly, and both endogenous compounds and environmental exposures are incorporated from blood into hair during growth, which reflects the average chemical composition over several months. We used hair samples to study the metabolite profiles of women with pregnancies complicated by fetal growth restriction (FGR) and healthy matched controls. We report the use of GC-MS metabolite profiling of hair samples for biomarker discovery. Unsupervised statistical analysis showed complete discrimination of FGR from controls based on hair composition alone. A predictive model combining 5 metabolites produced an area under the receiver-operating curve of 0.998. This is the first study of the metabolome of human hair and demonstrates that this biological material contains robust biomarkers, which may lead to the development of a sensitive diagnostic tool for FGR, and perhaps more importantly, to stable biomarkers for a range of other diseases.
DOI Link: 10.7150/thno.9265
ISSN: 1838-7640
eISSN: 1838-7640
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: © Ivyspring International Publisher. This is an open-access article distributed under the terms of the Creative Commons License ( licenses/by-nc-nd/3.0/). Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited.
Description: Supplementary Material Table S1.
Appears in Collections:Published Articles, College of Medicine, Biological Sciences and Psychology

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