Format

Send to

Choose Destination
Theranostics. 2014 Jul 20;4(9):953-9. doi: 10.7150/thno.9265. eCollection 2014.

Hair metabolomics: identification of fetal compromise provides proof of concept for biomarker discovery.

Author information

1
1. The Liggins Institute, University of Auckland, Auckland, New Zealand ; 2. School of Biological Sciences, University of Auckland, Auckland, New Zealand.
2
2. School of Biological Sciences, University of Auckland, Auckland, New Zealand.
3
3. Departments of Biological Sciences and Computing Science, University of Alberta, Edmonton, Canada.
4
4. Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore ; 5. Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore.
5
6. Department of Maternal and Fetal Medicine, KK Women's and Children's' Hospital, Singapore.
6
1. The Liggins Institute, University of Auckland, Auckland, New Zealand ; 7. Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore.
7
7. Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore ; 8. Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore.
8
9. The Irish Centre for Fetal and Neonatal Translational Research, University College Cork, Cork, Ireland.
9
1. The Liggins Institute, University of Auckland, Auckland, New Zealand.

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.

KEYWORDS:

GC-MS.; biomarker; fetal growth restriction; hair; metabolite profiling

PMID:
25057319
PMCID:
PMC4107295
DOI:
10.7150/thno.9265
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Ivyspring International Publisher Icon for PubMed Central
Loading ...
Support Center