AI Article Synopsis
- The study aimed to find early biomarkers in the amniotic fluid of large-for-gestational-age (LGA) infants using capillary electrophoresis and chemometrics.
- Amniotic fluid samples from second-trimester pregnancies were analyzed, with advanced data alignment and analysis techniques used to categorize outcomes between LGA and appropriate-for-gestational-age (AGA) infants.
- Results showed a 100% sensitivity and 98% specificity in distinguishing LGA from AGA using two key biochemical markers, indicating that LGA infants have a distinct metabolic profile even early in pregnancy.
Article Abstract
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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| http://dx.doi.org/10.2217/bmm.12.54 | DOI Listing |
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