Screening for preterm birth: Potential for a metabolomics biomarker panel

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dc.contributor.author Considine, Elizabeth C.
dc.contributor.author Khashan, Ali S.
dc.contributor.author Kenny, Louise C.
dc.date.accessioned 2019-11-20T05:01:33Z
dc.date.available 2019-11-20T05:01:33Z
dc.date.issued 2019-05-07
dc.identifier.citation Considine, E.C., Khashan, A.S. and Kenny, L.C., 2019. Screening for Preterm Birth: Potential for a Metabolomics Biomarker Panel. Metabolites, 9(5), 90. (19pp). doi:10.3390/metabo9050090 en
dc.identifier.volume 9 en
dc.identifier.issued 5 en
dc.identifier.startpage 1
dc.identifier.endpage 19
dc.identifier.issn 2218-1989
dc.identifier.uri http://hdl.handle.net/10468/9106
dc.identifier.doi 10.3390/metabo9050090 en
dc.description.abstract The aim of this preliminary study was to investigate the potential of maternal serum to provide metabolomic biomarker candidates for the prediction of spontaneous preterm birth (SPTB) in asymptomatic pregnant women at 15 and/or 20 weeks’ gestation. Metabolomics LC-MS datasets from serum samples at 15- and 20-weeks’ gestation from a cohort of approximately 50 cases (GA < 37 weeks) and 55 controls (GA > 41weeks) were analysed for candidate biomarkers predictive of SPTB. Lists of the top ranked candidate biomarkers from both multivariate and univariate analyses were produced. At the 20 weeks’ GA time-point these lists had high concordance with each other (85%). A subset of 4 of these features produce a biomarker panel that predicts SPTB with a partial Area Under the Curve (pAUC) of 12.2, a sensitivity of 87.8%, a specificity of 57.7% and a p-value of 0.0013 upon 10-fold cross validation using PanelomiX software. This biomarker panel contained mostly features from groups already associated in the literature with preterm birth and consisted of 4 features from the biological groups of “Bile Acids”, “Prostaglandins”, “Vitamin D and derivatives” and “Fatty Acids and Conjugates”. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher MDPI en
dc.relation.uri https://www.mdpi.com/2218-1989/9/5/90
dc.rights © 2019 by the authors. Licensee MDPI, Basel, Switzerland en
dc.rights.uri https://creativecommons.org/licenses/by/4.0/ en
dc.subject Metabolomics en
dc.subject Prediction en
dc.subject Complex disease en
dc.subject Heterogeneity en
dc.subject Biomarkers en
dc.subject Panel en
dc.subject Preterm birth en
dc.title Screening for preterm birth: Potential for a metabolomics biomarker panel en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Ali Khashan, Department of Epidemiology and Public Health, University College Cork, Cork, Ireland. +353-21-490-3000 Email: a.khashan@ucc.ie en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Metabolites en
dc.internal.IRISemailaddress a.khashan@ucc.ie en
dc.identifier.articleid 90 en
dc.identifier.eissn 2218-1989


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© 2019 by the authors. Licensee MDPI, Basel, Switzerland Except where otherwise noted, this item's license is described as © 2019 by the authors. Licensee MDPI, Basel, Switzerland
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