| Early prediction of macrosomia based on an analysis of second trimester amniotic fluid by capillary electrophoresis. | |
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MedLine Citation:
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PMID: 23075245 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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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. |
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Authors:
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Michel R Boisvert; Kristine G Koski; David H Burns; Cameron D Skinner |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Biomarkers in medicine Volume: 6 ISSN: 1752-0371 ISO Abbreviation: Biomark Med Publication Date: 2012 Oct |
Date Detail:
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Created Date: 2012-10-18 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101312535 Medline TA: Biomark Med Country: England |
Other Details:
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Languages: eng Pagination: 655-62 Citation Subset: IM |
Affiliation:
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Department of Chemistry & Biochemistry, Concordia University, Montreal, QC, H4B 1R6, Canada. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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