Literature DB >> 28676561

Determining the pattern and prevalence of alcohol consumption in pregnancy by measuring biomarkers in meconium.

Carolyn Abernethy1, Karen E McCall1, Gail Cooper2,3, Donata Favretto4, Fabio Vaiano4, Elisabetta Bertol4, Helen Mactier1,2.   

Abstract

OBJECTIVE: To investigate the feasibility of determining the pattern and prevalence of alcohol consumption in pregnancy by measuring ethanol biomarkers in meconium.
DESIGN: Population-based observational study.
SETTING: Inner-city maternity unit in Scotland, UK. POPULATION: Random sample of singleton infants delivered after 36 completed weeks' gestation.
METHODS: Fatty acid ethyl esters (FAEEs) and ethyl glucuronide (EtG) in meconium were measured by liquid chromatography-mass spectroscopy. Samples were frozen at -20°C before analysis. Results were compared anonymously with demographic data including maternal age, parity, smoking, ethnicity and postcode and with infant gestation, birth weight and head circumference. Written informed consent was obtained from all subjects.
RESULTS: 235 samples of meconium were analysed (70% of eligible babies). Only four (1%) of mothers declined to participate. FAAEs were detected in all, including four samples below the limit of quantification (10 ng/g). 98 (42%) samples had FAEE concentrations >600 ng/g. EtG was detectable in 93 (40%) samples; in 35 (15%) EtG concentration was >30 ng/g. No mother reported heavy alcohol consumption in pregnancy. FAAE concentration correlated with EtG (Pearson's coefficient; p<0.001). There was no association between either biomarker and maternal age, parity, smoking, ethnicity or postcode, or infant gestation, birth weight or head circumference.
CONCLUSION: Measurement of ethanol biomarkers in meconium is a feasible tool for determining the pattern and prevalence of alcohol consumption in pregnancy. Data suggest that at least 15% of pregnant women in the west of Scotland are consuming significant quantities of alcohol during latter pregnancy. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  ethylglucuronide; fatty acid ethyl esters; meconium; newborn

Mesh:

Substances:

Year:  2017        PMID: 28676561     DOI: 10.1136/archdischild-2016-311686

Source DB:  PubMed          Journal:  Arch Dis Child Fetal Neonatal Ed        ISSN: 1359-2998            Impact factor:   5.747


  5 in total

1.  Minimizing sample bias due to stigmatized behaviours: the representativeness of participants in a cohort study of alcohol in pregnancy.

Authors:  David Tappin; Daniel Mackay; Lucy Reynolds; Niamh Fitzgerald
Journal:  BMC Med Res Methodol       Date:  2022-05-13       Impact factor: 4.612

2.  Prenatal Alcohol Exposure and the Facial Phenotype in Adolescents: A Study Based on Meconium Ethyl Glucuronide.

Authors:  Janina Maschke; Jakob Roetner; Tamme W Goecke; Peter A Fasching; Matthias W Beckmann; Oliver Kratz; Gunther H Moll; Bernd Lenz; Johannes Kornhuber; Anna Eichler
Journal:  Brain Sci       Date:  2021-01-25

3.  Determination of Prenatal Substance Exposure Using Meconium and Orbitrap Mass Spectrometry.

Authors:  Atakan Hernandez; Valerie Lacroze; Natalia Doudka; Jenny Becam; Carole Pourriere-Fabiani; Bruno Lacarelle; Caroline Solas; Nicolas Fabresse
Journal:  Toxics       Date:  2022-01-26

4.  Prenatal Alcohol Exposure Is Associated With Adverse Cognitive Effects and Distinct Whole-Genome DNA Methylation Patterns in Primary School Children.

Authors:  Stefan Frey; Anna Eichler; Valeska Stonawski; Jennifer Kriebel; Simone Wahl; Sabina Gallati; Tamme W Goecke; Peter A Fasching; Matthias W Beckmann; Oliver Kratz; Gunther H Moll; Hartmut Heinrich; Johannes Kornhuber; Yulia Golub
Journal:  Front Behav Neurosci       Date:  2018-06-26       Impact factor: 3.558

5.  Development of an algorithm to classify primary care electronic health records of alcohol consumption: experience using data linkage from UK Biobank and primary care electronic health data sources.

Authors:  David Fraile-Navarro; Amaya Azcoaga-Lorenzo; Utkarsh Agrawal; Bhautesh Jani; Adeniyi Fagbamigbe; Dorothy Currie; Alexander Baldacchino; Frank Sullivan
Journal:  BMJ Open       Date:  2022-02-01       Impact factor: 2.692

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.