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

Abstract：

BACKGROUND:Spontaneous preterm birth is a complex syndrome with multiple pathways interactions determining its occurrence, including genetic, immunological, physiologic, biochemical and environmental factors. Despite great worldwide efforts in preterm birth prevention, there are no recent effective therapeutic strategies able to decrease spontaneous preterm birth rates or their consequent neonatal morbidity/mortality. The Preterm SAMBA study will associate metabolomics technologies to identify clinical and metabolite predictors for preterm birth. These innovative and unbiased techniques might be a strategic key to advance spontaneous preterm birth prediction. METHODS/DESIGN:Preterm SAMBA study consists of a discovery phase to identify biophysical and untargeted metabolomics from blood and hair samples associated with preterm birth, plus a validation phase to evaluate the performance of the predictive modelling. The first phase, a case-control study, will randomly select 100 women who had a spontaneous preterm birth (before 37 weeks) and 100 women who had term birth in the Cork Ireland and Auckland New Zealand cohorts within the SCOPE study, an international consortium aimed to identify potential metabolomic predictors using biophysical data and blood samples collected at 20 weeks of gestation. The validation phase will recruit 1150 Brazilian pregnant women from five participant centres and will collect blood and hair samples at 20 weeks of gestation to evaluate the performance of the algorithm model (sensitivity, specificity, predictive values and likelihood ratios) in predicting spontaneous preterm birth (before 34 weeks, with a secondary analysis of delivery before 37 weeks). DISCUSSION:The Preterm SAMBA study intends to step forward on preterm birth prediction using metabolomics techniques, and accurate protocols for sample collection among multi-ethnic populations. The use of metabolomics in medical science research is innovative and promises to provide solutions for disorders with multiple complex underlying determinants such as spontaneous preterm birth.

journal_name

BMC Pregnancy Childbirth

journal_title

BMC pregnancy and childbirth

authors

Cecatti JG,Souza RT,Sulek K,Costa ML,Kenny LC,McCowan LM,Pacagnella RC,Villas-Boas SG,Mayrink J,Passini R Jr,Franchini KG,Baker PN,Preterm SAMBA and SCOPE study groups.

doi

10.1186/s12884-016-1006-9

subject

Has Abstract

pub_date

2016-08-08 00:00:00

pages

212

issue

issn

1471-2393

pii

10.1186/s12884-016-1006-9

journal_volume

pub_type

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