Document Detail

Second trimester maternal urine for the diagnosis of trisomy 21 and prediction of poor pregnancy outcomes.
MedLine Citation:
PMID:  23611123     Owner:  NLM     Status:  Publisher    
Given the recognised lack of prenatal clinical methods for the early diagnosis of preterm delivery, intra-uterine growth restriction, preeclampsia and gestational diabetes mellitus, and the continuing need for optimised diagnosis methods for specific chromosomal disorders (e.g. trisomy 21) and fetal malformations, this work sought specific metabolic signatures of these conditions in 2(nd) trimester maternal urine, using (1)H Nuclear Magnetic Resonance ((1)H NMR) metabolomics. Several variable importance to the projection (VIP)- and b-coefficient-based variable selection methods were tested, both individually and through their intersection, and the resulting datasets analysed by partial least squares discriminant analysis (PLS-DA) and submitted to Monte Carlo cross validation (MCCV) and permutation tests to evaluate model predictive power. The NMR data subsets produced significantly improved PLS-DA models for all conditions except for pre-premature rupture of membranes. Specific urinary metabolic signatures were unveiled for central nervous system malformations, trisomy 21, preterm delivery, gestational diabetes, intrauterine growth restriction and preeclampsia, and biochemical interpretations were proposed. This work demonstrated, for the first time, the value of maternal urine profiling as a complementary means of prenatal diagnostics and early prediction of several poor pregnancy outcomes.
Sílvia O Diaz; António S Barros; Brian J Goodfellow; Iola Fernandes Duarte; Eulália Galhano; Cristina Pita; Maria do Céu Almeida; Isabel M Carreira; Ana Maria Gil
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-4-24
Journal Detail:
Title:  Journal of proteome research     Volume:  -     ISSN:  1535-3907     ISO Abbreviation:  J. Proteome Res.     Publication Date:  2013 Apr 
Date Detail:
Created Date:  2013-4-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101128775     Medline TA:  J Proteome Res     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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