Publications by authors named "Michel R Boisvert"
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.
Aim: To detect gestational diabetes mellitus biomarkers in human amniotic fluid collected for age-related genetic testing using capillary electrophoresis and a sophisticated data analysis methodology.
Materials & Methods: Amniotic fluid samples were separated by capillary electrophoresis. Samples were classified using a genetic algorithm with Bayesian benefit function.
Gestational diabetes mellitus (GDM) is a state of hyperglycaemia and increased oxidative stress with onset during pregnancy. Human serum albumin (HSA) was extracted from 26 GDM and 26 nonGDM amniotic fluid samples collected at 15 weeks gestation and analyzed by mass spectrometry. The majority of all albumin isoforms were oxidized with the cysteinylated HSA as the base peak in the deconvoluted spectrum.
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