Document Detail


Early prediction of macrosomia based on an analysis of second trimester amniotic fluid by capillary electrophoresis.
MedLine Citation:
PMID:  23075245     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Aim: To identify, using capillary electrophoresis and chemometrics, early biomarkers in human amniotic fluid of large-for-gestational-age (LGA) infants. Materials & methods: Second trimester amniotic fluid samples, obtained from mothers undergoing age-related amniocentesis, were analyzed by capillary electrophoresis. Electropherogram data were aligned using correlation-optimized warping. A genetic algorithm using a Bayesian evaluation function and a leave-one-out cross-validation strategy for two birth outcomes: appropriate-for-gestational-age (AGA) versus LGA infants. Results: LGA (n = 23) was differentiated from AGA (n = 86) with a sensitivity of 100% and a specificity of 98% using only two wavelets. The first wavelet is associated with albumin and the second wavelet with an unknown small molecule. Conclusion: The approach developed herein allows LGA fetuses to be metabolically distinguished from AGA fetuses early in pregnancy and indicates that the birth of a LGA infant is already associated with an altered biochemical profile by the second trimester.
Authors:
Michel R Boisvert; Kristine G Koski; David H Burns; Cameron D Skinner
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Biomarkers in medicine     Volume:  6     ISSN:  1752-0371     ISO Abbreviation:  Biomark Med     Publication Date:  2012 Oct 
Date Detail:
Created Date:  2012-10-18     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101312535     Medline TA:  Biomark Med     Country:  England    
Other Details:
Languages:  eng     Pagination:  655-62     Citation Subset:  IM    
Affiliation:
Department of Chemistry & Biochemistry, Concordia University, Montreal, QC, H4B 1R6, Canada.
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