Next Article in Journal
Inhibitory Effect of Gardenoside on Free Fatty Acid-Induced Steatosis in HepG2 Hepatocytes
Next Article in Special Issue
Thrombophilia and Pregnancy Complications
Previous Article in Journal
Biodistribution, Stability, and Blood Distribution of the Cell Penetrating Peptide Maurocalcine in Mice
Previous Article in Special Issue
Developing Potential Candidates of Preclinical Preeclampsia
Article Menu
Issue 11 (November) cover image

Export Article

Open AccessCommunication
Int. J. Mol. Sci. 2015, 16(11), 27741-27748; doi:10.3390/ijms161126052

Metabolite Profile of Cervicovaginal Fluids from Early Pregnancy Is Not Predictive of Spontaneous Preterm Birth

1
Liggins Institute, University of Auckland, 85 Park Road, Auckland 1023, New Zealand
2
Institute of Natural and Mathematical Sciences, Massey University, Albany Campus, Auckland 0632, New Zealand
3
School of Biological Sciences, University of Auckland, 3a Symonds Street, Auckland 1010, New Zealand
4
The Irish Centre for Fetal and Neonatal Translational Research, University College Cork, Wilton 06897, Cork, Ireland
5
Department of Obstetrics and Gynaecology, University of Auckland, 2 Park Road, Auckland 1023, New Zealand
*
Author to whom correspondence should be addressed.
Academic Editors: Alejandro Cifuentes and David Arráez-Román
Received: 23 May 2015 / Revised: 23 October 2015 / Accepted: 6 November 2015 / Published: 19 November 2015
(This article belongs to the Special Issue Prediction, Diagnostics and Prevention of Pregnancy Complications)
View Full-Text   |   Download PDF [195 KB, uploaded 19 November 2015]   |  

Abstract

In our study, we used a mass spectrometry-based metabolomic approach to search for biomarkers that may act as early indicators of spontaneous preterm birth (sPTB). Samples were selected as a nested case-control study from the Screening for Pregnancy Endpoints (SCOPE) biobank in Auckland, New Zealand. Cervicovaginal swabs were collected at 20 weeks from women who were originally assessed as being at low risk of sPTB. Samples were analysed using gas chromatography-mass spectrometry (GC-MS). Despite the low amount of biomass (16–23 mg), 112 compounds were detected. Statistical analysis showed no significant correlations with sPTB. Comparison of reported infection and plasma inflammatory markers from early pregnancy showed two inflammatory markers were correlated with reported infection, but no correlation with any compounds in the metabolite profile was observed. We hypothesise that the lack of biomarkers of sPTB in the cervicovaginal fluid metabolome is simply because it lacks such markers in early pregnancy. We propose alternative biofluids be investigated for markers of sPTB. Our results lead us to call for greater scrutiny of previously published metabolomic data relating to biomarkers of sPTB in cervicovaginal fluids, as the use of small, high risk, or late pregnancy cohorts may identify metabolite biomarkers that are irrelevant for predicting risk in normal populations. View Full-Text
Keywords: metabolomics; cervicovaginal; biomarkers; spontaneous preterm birth metabolomics; cervicovaginal; biomarkers; spontaneous preterm birth
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Thomas, M.M.; Sulek, K.; McKenzie, E.J.; Jones, B.; Han, T.-L.; Villas-Boas, S.G.; Kenny, L.C.; McCowan, L.M.E.; Baker, P.N. Metabolite Profile of Cervicovaginal Fluids from Early Pregnancy Is Not Predictive of Spontaneous Preterm Birth. Int. J. Mol. Sci. 2015, 16, 27741-27748.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Int. J. Mol. Sci. EISSN 1422-0067 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top