- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07456579
Alcohol and Cannabis Use Among Pregnant Slovenian Women
Assessment of Alcohol and Cannabis Use Among Pregnant Women in Slovenia and Meconium Microbiome Analysis of Positive Samples
Study Overview
Status
Detailed Description
The aim of the study is to determine the prevalence of alcohol and canabis use among Slovenian pregnant women. Alcohol and drug use during pregnancy has significant effects on the foetus and has short- and long-term health consequences. One of the most serious consequences is foetal alcohol syndrome (FAS), which is characterised by congenital anomalies, cognitive impairment and growth deficits. Another health effect of prenatal alcohol exposure is foetal alcohol spectrum disorder (FASD), which is characterised by impairment of the central nervous system and leads to behavioural and cognitive problems, attention deficit disorder, executive dysfunction and memory problems. Consequently, children affected by maternal alcohol abuse have poorer school performance, lower education, psychiatric disorders, higher rates of alcohol and drug use, higher crime rates, unemployment and other problems that place a burden on individuals and society. Drug use during pregnancy affects both the mother and the foetus and is closely associated with perinatal problems, miscarriages, premature births, low birth weight, small head circumference and congenital malformations. Maternal drug use during pregnancy causes neonatal abstinence syndrome; it also affects foetal brain development, which can lead to long-term neuropsychiatric problems. The prevalence of alcohol and drug use among pregnant women in Slovenia has not been studied before.
The adult gastrointestinal tract is densely populated by microorganisms. The microbiota, which represents a taxonomic inventory of the present microbial genera and species-primarily bacteria-and, in a broader sense, the microbiome, which encompasses all microorganisms (bacteria, archaea, fungi, protozoa, viruses, mobile genetic elements) together with their functional genes and metabolites present in the intestine, varies considerably in its composition among individuals, depending on the resolution of observation. At birth, a child's gastrointestinal tract has a lower density of microbial cells, as a network of selective pressures begins to develop only upon contact with maternal secretions, food, and the environment. These pressures include microbial fermentative products derived from breast milk or infant formula, gene expression, and microbial competition, leading to the dynamic development of the microbiome. Several factors influence the development of the infant gut microbiome after birth, including mode of delivery, type of feeding, prematurity, antibiotic use, and other environmental factors. Increasing evidence also points to the influence of prenatal factors, such as gestational diabetes and obesity, infections, stress, and maternal diet. A growing number of studies further demonstrate that an altered microbiota during pregnancy and early childhood can affect brain development and behavior later in life via the gut-brain axis. The impact of alcohol consumption on the gut microbiota has been studied mainly in adults, in whom a reduction in microbiota α-diversity has been observed. Prenatal exposure to alcohol may influence the newborn's microbiota primarily through alcohol-induced alterations of the maternal microbiota and, consequently, nutrient absorption. Meconium analysis represents a unique opportunity to study exclusively prenatal factors affecting the microbiome, as postnatal factors do not influence the meconium microbiome. Wang and colleagues studied mother-newborn pairs by analyzing maternal stool samples in the third trimester and neonatal samples within the first 48 hours after birth. They demonstrated significant differences in the microbiota composition of mothers who consumed alcohol and in the microbiota of their newborns compared with mother-newborn pairs in which the mothers did not consume alcohol. There are only a few studies in animal models that have confirmed differences in the gut microbiota of adult offspring whose mothers were fed an alcohol-containing diet during pregnancy. To date, no published studies have characterized the meconium microbiome of newborns whose mothers consumed cannabis.
Methods: The prevalence of alcohol and canabis use during pregnancy will be investigated in collaboration with the National Institute of Public Health, Institute of Forensic Medicine (IFM) of the Faculty of Medicine, University of Ljubljana, Institute Jozef Stefan and the Clinical Department of Neonatology of the Paediatric Clinic, University Clinical Centre Ljubljana, using three different methods:
- A cross-sectional study will be conducted on a nationally representative sample of meconium samples. The meconium samples will be collected from maternity hospitals in Slovenia. Biomarkers for alcohol and illicit drugs will be determined in the meconium samples. The sample size of the study will be calculated considering the population of Slovenia, the number of births per year and the estimated prevalence of alcohol and drug use during pregnancy. Meconium samples will be collected anonymously. Diapers with meconium will be collected in special waste bags by professionals caring for newborns and mothers on the first day after birth. Diapers for the meconium sampling will be randomly taken from the bags; the sample will be labelled with a serial number. Data about neonate's sex, gestational age (mature/premature), type of birth (vaginal/caesarean), antibiotic use during labour and maternal chronic diseases will be colected anonimously without any other personal or time data. There will be a special group of 100 meconium samples from one maternity hospital, where we will pair mother's questionaire and meconium sample. For this we will ask for mother's permission. Here also there will be no personal data collection, the meconium sample and mother's questionaire will be paired through code. The samples will be analysed in the IFM toxicology laboratory. For the study, a new analytical method for the examination of meconium will be introduced in Slovenia.
- National survey on the lifestyle will be conducted in Slovenian maternity hospitals, including questions on alcohol and drug use during pregnancy. The survey will be anonymous and not related to meconium sampling; participation in the survey will be voluntary. Women will be given access to the online survey, after receiving information about the aim of the study, the method used to ensure anonymity and the collection methods.
- Microbiome analysis: all meconium samples that will test positive for alcohol and cannabis metabolites, as well as two negative meconium samples per every positive meconimu sample, will be included in the analysis of meconium microbiome composition. In the final part of the study-the comparison of the microbiome-all meconium samples positive for alcohol or cannabis metabolites will be included. Microbiome analysis will be carried out in the final phase of the study within the framework of the Million Microbiomes from Humans Project consortium and the Slovenian Metabolomics Database (in preparation). The molecular data obtained from metagenomic sequencing will be analyzed on the Slovenian supercomputing infrastructure (Vega, Maister) using tools developed and employed on the supercomputing network by the interdisciplinary group. We will generate taxonomic matrices of bacteria, archaea, fungi, protozoa, and DNA viruses; diversity matrices (35 diversity indices); functional gene matrices (20 million groups); enzymatic reaction matrices (500,000 categories); metabolic pathway matrices (100,000 variables); and metabolite matrices (1,000 variables). The collected data and their transformation from molecular into numerical formats will serve as the basis for machine learning (standardization, normalization, evaluation of sample separation and classification performance using different algorithms and hyperparameters), identification of biomarker networks (n > 100), and nonparametric statistical analysis of the gut microbiome.
Statistical analysis: Statistical data analysis will be performed using the IBM SPSS Statistics 25 software package. Descriptive statistical methods will be used to characterize the population of postpartum women participating in the survey and to summarize the collected data. The prevalence of alcohol or cannabis use among pregnant women will be calculated based on the number of meconium samples positive for alcohol or cannabis metabolites. The prevalence of alcohol and cannabis use based on self-reporting will be calculated separately. Molecular data obtained from microbiome analysis will be converted into numerical data and used for machine learning (standardization, normalization, evaluation of sample separation and classification performance using different algorithms and hyperparameters), identification of biomarker networks (n > 100), and nonparametric statistical analysis of the gut microbiome, as conducted by the interdisciplinary group. The obtained data will then be statistically compared between the group of meconium samples positive for alcohol and cannabis metabolites and the group of meconium samples in which these metabolites were not present.
Expected results: We aims to determine the prevalence of alcohol and drug use among Slovenian pregnant women. The data on alcohol and drug metabolites obtained from meconium samples will be compared with the results of the survey, in which the prevalence of alcohol and drug use will be determined by self-report. In this way, we can assess the reliability of self-report. The results of the study will enable us to assess the prevalence of FAS and FASD in Slovenia, help us to develop a strategy to raise awareness among professionals and the public about the prevalence and consequences of alcohol and drug use during pregnancy, to plan preventive measures and interventions in the target group of pregnant women, to establish diagnostic teams for FAS and FASD. As of the microbiome, we expect a significant difference in the microbiome composition of meconium samples that test positive for alcohol or cannabis compared with samples that test negative (taking into account sex, gestational age, antibiotic exposure during delivery, and the presence of chronic diseases).
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Locations
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Ljubljana, Slovenia, 1000
- University Medical Centre Ljubljana
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
- Random and anonymous meconium samples collected across Slovenian maternity hospitals during the defined study period.
- Postpartum women who voluntarily participated by completing the structured questionnaire.
Description
Inclusion Criteria meconium:
- meconium samples of preterm and term neonates
Exclusion Criteria meconium:
- if the neonate passes meconium intrauterine (meconium stained amniotic fluid) or during the labour
Inclusion Criteria for structured questionnaire:
- any postpatrum women
Probability sampling will be applied to the selection of meconium samples, which will be collected randomly. In contrast, postpartum women will be recruited upon invitation, representing a non-probability (convenience) sample.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Meconium samples that will not be paired with maternal questionnaires
Random meconium samples form 13 Slovenian maternity hospitals will be collected.
Parallel to that, we will colect maternal questionnaires.
Meconium samples and questionnaires will be randomly colected, they will not be paired.
No personal data will be collected.
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Meconium samples that will be paired with maternal questionnaires
In this group we will pair maternal questionnaire with meconium sample.
First we will ask permission from mother to be voluntarily included in the study, she will sign written consent.
Then she will fullfil the questionnaire and we will collect meconium sample of her newborn.
We will put code on her questionnaire and on the meconium sample to maintain anonymity, without collection any personal data.
The aim of the paired group is to evaluate the thruthfulness of self-reporting.
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Postpartum women
Postpartum women will be invited to complete structured questionnaire addressing lifestyle factors during pregnancy, including self-reported alcohol, tobacco, and drug use.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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Prevalence of alcohol and cannabis use among pregnant women in Slovenia determined by biomarkers in meconium.
Time Frame: From all the collected samples in one year period.
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The prevalence of alcohol and cannabis use among pregnant women in Slovenia, determined by alcohol and cannabis metabolites in newborns' meconium.
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From all the collected samples in one year period.
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Prevalence of alcohol and cannabis use among pregnant women in Slovenia determined by self reporting
Time Frame: 1 year
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Prevalence of alcohol and cannabis use among pregnant women in Slovenia determined by self-reported data collected via a structured questionnaire
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1 year
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Micorbiome analysis
Time Frame: Sample collection approximately one year period. Biomarcers analysis 1 year. Microbioma analysis 6 months.
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The meconium microbiome of newborns whose mothers consumed alcohol and/or cannabis during pregnancy differs from the microbiome of newborns whose mothers did not consume alcohol and/or cannabis during pregnancy.
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Sample collection approximately one year period. Biomarcers analysis 1 year. Microbioma analysis 6 months.
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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Health behavior and life style during pregnancy
Time Frame: One year period.
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Within this study, postpartum women are invited to complete structured questionnaire addressing lifestyle factors during pregnancy, including self-reported alcohol, tobacco, and drug use.
Plus mental well-being, nutrition and diet, daily physical activity 3 months before and during pregnancy.
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One year period.
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Collaborators and Investigators
Collaborators
Publications and helpful links
General Publications
- Joya X, Marchei E, Salat-Batlle J, Garcia-Algar O, Calvaresi V, Pacifici R, Pichini S. Fetal exposure to ethanol: relationship between ethyl glucuronide in maternal hair during pregnancy and ethyl glucuronide in neonatal meconium. Clin Chem Lab Med. 2016 Mar;54(3):427-35. doi: 10.1515/cclm-2015-0516.
- Badowski S,Smith G
- Wang Y,Xie T,Wu Y,Liu Y,Zou Z,Bai J
- Popova S,Dozet D,Akhand Laboni S,Brower K,Temple V
- Upreti D,Rouzer SK,Bowring A,Labbe E,Kumar R,Miranda RC,Mahnke AH
- Engen PA,Green SJ,Voigt RM,Forsyth CB,Keshavarzian A
- Chiandetti A,Hernandez G,Mercadal-Hally M,Alvarez A,Andreu-Fernandez V,Navarro-Tapia E,Bastons-Compta A,Garcia-Algar O
- Dominguez-Bello MG,Godoy-Vitorino F,Knight R,Blaser MJ
- Graves L, Carson G, Poole N, Patel T, Bigalky J, Green CR, Cook JL. Guideline No. 405: Screening and Counselling for Alcohol Consumption During Pregnancy. J Obstet Gynaecol Can. 2020 Sep;42(9):1158-1173.e1. doi: 10.1016/j.jogc.2020.03.002.
- Chong CYL, Bloomfield FH, O'Sullivan JM. Factors Affecting Gastrointestinal Microbiome Development in Neonates. Nutrients. 2018 Feb 28;10(3):274. doi: 10.3390/nu10030274.
- Dominguez-Bello MG, Godoy-Vitorino F, Knight R, Blaser MJ. Role of the microbiome in human development. Gut. 2019 Jun;68(6):1108-1114. doi: 10.1136/gutjnl-2018-317503. Epub 2019 Jan 22.
- Wozniak MK, Wiergowski M, Namiesnik J, Biziuk M. Biomarkers of Alcohol Consumption in Body Fluids - Possibilities and Limitations of Application in Toxicological Analysis. Curr Med Chem. 2019;26(1):177-196. doi: 10.2174/0929867324666171005111911.
- Marchand G, Masoud AT, Govindan M, Ware K, King A, Ruther S, Brazil G, Ulibarri H, Parise J, Arroyo A, Coriell C, Goetz S, Karrys A, Sainz K. Birth Outcomes of Neonates Exposed to Marijuana in Utero: A Systematic Review and Meta-analysis. JAMA Netw Open. 2022 Jan 4;5(1):e2145653. doi: 10.1001/jamanetworkopen.2021.45653.
- Cristino L, Di Marzo V. Fetal cannabinoid receptors and the "dis-joint-ed" brain. EMBO J. 2014 Apr 1;33(7):665-7. doi: 10.1002/embj.201488086. Epub 2014 Mar 14.
- Jarmasz JS, Basalah DA, Chudley AE, Del Bigio MR. Human Brain Abnormalities Associated With Prenatal Alcohol Exposure and Fetal Alcohol Spectrum Disorder. J Neuropathol Exp Neurol. 2017 Sep 1;76(9):813-833. doi: 10.1093/jnen/nlx064.
- Popova S, Lange S, Probst C, Gmel G, Rehm J. Estimation of national, regional, and global prevalence of alcohol use during pregnancy and fetal alcohol syndrome: a systematic review and meta-analysis. Lancet Glob Health. 2017 Mar;5(3):e290-e299. doi: 10.1016/S2214-109X(17)30021-9. Epub 2017 Jan 13.
- Mattson SN, Bernes GA, Doyle LR. Fetal Alcohol Spectrum Disorders: A Review of the Neurobehavioral Deficits Associated With Prenatal Alcohol Exposure. Alcohol Clin Exp Res. 2019 Jun;43(6):1046-1062. doi: 10.1111/acer.14040. Epub 2019 May 2.
- Hoyme HE, Kalberg WO, Elliott AJ, Blankenship J, Buckley D, Marais AS, Manning MA, Robinson LK, Adam MP, Abdul-Rahman O, Jewett T, Coles CD, Chambers C, Jones KL, Adnams CM, Shah PE, Riley EP, Charness ME, Warren KR, May PA. Updated Clinical Guidelines for Diagnosing Fetal Alcohol Spectrum Disorders. Pediatrics. 2016 Aug;138(2):e20154256. doi: 10.1542/peds.2015-4256. Epub 2016 Jul 27.
- Popova S, Dozet D, Shield K, Rehm J, Burd L. Alcohol's Impact on the Fetus. Nutrients. 2021 Sep 29;13(10):3452. doi: 10.3390/nu13103452.
- Tsang TW, Kingsland M, Doherty E, Anderson AE, Tully B, Crooks K, Symonds I, Tremain D, Dunlop AJ, Wiggers J, Elliott EJ. Predictors of alcohol use during pregnancy in Australian women. Drug Alcohol Rev. 2022 Jan;41(1):171-181. doi: 10.1111/dar.13330. Epub 2021 Jun 1.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 0120-269/2023/3
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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