Use of metabolomics for the identification and validation of clinical biomarkers for preterm birth: Preterm SAMBA

Cecatti, JG, Souza, RT, Sulek, K et al. (9 more authors) (2016) Use of metabolomics for the identification and validation of clinical biomarkers for preterm birth: Preterm SAMBA. BMC Pregnancy and Childbirth, 16 (1). 212.

Abstract

Metadata

Authors/Creators:
  • Cecatti, JG
  • Souza, RT
  • Sulek, K
  • Costa, ML
  • Kenny, LC
  • McCowan, LM
  • Pacagnella, RC
  • Villas-Boas, SG
  • Mayrink, J
  • Passini, R
  • Franchini, KG
  • Baker, PN
Copyright, Publisher and Additional Information: © 2016 The Author(s). Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Keywords: Spontaneous preterm birth; Metabolomics; Prediction; Biological biomarker; Mass spectrometry
Dates:
  • Accepted: 4 August 2016
  • Published (online): 8 August 2016
  • Published: December 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Inst of Biomed & Clin Sciences (LIBACS) (Leeds) > Obstetrics & Gynaecology (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 10 Apr 2018 10:44
Last Modified: 10 Apr 2018 10:44
Status: Published
Publisher: BioMed Central
Identification Number: https://doi.org/10.1186/s12884-016-1006-9

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