The Microbiome in (Non-) Obese Pregnancy and Pregnancy Outcomes
PROMOTE
The PROMOTE Study, a Pilot: The Characterization of the Microbiome in Pregnancy and Prediction of Pregnancy Outcomes
1 other identifier
observational
110
1 country
1
Brief Summary
This research aims to elucidate an underlying mechanism of maternal obesity induced pregnancy and longterm health complications for mothers and their offspring.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Jul 2022
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 21, 2022
CompletedFirst Submitted
Initial submission to the registry
January 24, 2023
CompletedFirst Posted
Study publicly available on registry
March 6, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 21, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
August 21, 2026
ExpectedSeptember 19, 2024
September 1, 2024
3.1 years
January 24, 2023
September 12, 2024
Conditions
Outcome Measures
Primary Outcomes (6)
Gut and vaginal microbiota
Composition of gut and vaginal microbiota derived by swab sampling, bacteriome profiles will be assessed by 16S ribosomal ribonucleic acid (16SrRNA) gene amplification sequencing (V6-V8). Sequences will be assigned to operational taxonomic units (OTUs).
Preconceptional (up to 1 year before pregnancy)
Gut and vaginal microbiota
Composition of gut and vaginal microbiota derived by swab sampling, bacteriome profiles will be assessed by 16SrRNA gene amplification sequencing (V6-V8). Sequences will be assigned to OTUs.
First trimester (between 7-12 weeks gestational age)
Gut and vaginal microbiota
Composition of gut and vaginal microbiota derived by swab sampling, bacteriome profiles will be assessed by 16SrRNA gene amplification sequencing (V6-V8). Sequences will be assigned to OTUs.
Second trimester (between 22-25 weeks gestational age)
Gut and vaginal microbiota
Composition of gut and vaginal microbiota derived by swab sampling, bacteriome profiles will be assessed by 16SrRNA gene amplification sequencing (V6-V8). Sequences will be assigned to OTUs.
Third trimester (between 30-32 weeks gestational age)
Gut and vaginal microbiota
Composition of gut and vaginal microbiota derived by swab sampling, bacteriome profiles will be assessed by 16SrRNA gene amplification sequencing (V6-V8). Sequences will be assigned to OTUs.
Antepartum (during delivery)
Gut and vaginal microbiota
Composition of gut and vaginal microbiota derived by swab sampling, bacteriome profiles will be assessed by 16SrRNA gene amplification sequencing (V6-V8). Sequences will be assigned to OTUs.
Postpartum (6-8 weeks post delivery)
Secondary Outcomes (59)
Gut virome
Preconceptional (up to 1 year before pregnancy)
Gut virome
First trimester (between 7-12 weeks gestational age)
Gut virome
Second trimester (between 22-24 weeks gestational age)
Gut virome
Third trimester (between 30-32 weeks gestational age)
Gut virome
Antepartum (during delivery)
- +54 more secondary outcomes
Study Arms (1)
110 women
60 women with a BMI between 18,5-25 kg/m2, of which 10 preconceptional 60 women with a BMI \> 30 kg/m2, of which 10 preconceptional
Interventions
venous punction with blood withdrawal Vaginal and rectal swab, done by patient itself
Eligibility Criteria
This pilot study is embedded in the Rotterdam Periconceptional Cohort study (Predict study). The Predict study population includes preconceptional or pregnant women \> 18 years and \< 45 years old visiting the Erasmus MC and that are willing to participate. We will select the participants, that meet our undermentioned inclusion criteria, for our study from this cohort: 50 women with a BMI \> 30 kg/m2 (cases) and 50 women with a BMI ranging 18-25 kg/m2 (controls) and their neonates. We will longitudinally sample first/2nd/3rd/postpartum, 100 women, in addition we will include 10 preconceptional women with BMI \> 30 kg/m2 and 10 preconceptional women with BMI 18-25 kg/m2, these participants do not necessarily have to conceive a pregnancy in order to remain in the study (these women are part of the preconceptional Predict population).
You may qualify if:
- Participation in Predict study
- Preconceptional women who wish to become pregnant or pregnancy \<13 weeks of gestational age.
- BMI \> 30 kg/m2 or 18-25 kg/m2
- Understanding of Dutch in speaking and reading
- Willingness to give written informed consent
You may not qualify if:
- Age \< 18 years and \> 45 years.
- ≥13 weeks of gestational age
- Multiple pregnancy
- Smoking
- Gastro-intestinal diseases, heart diseases, liver, pancreas and kidney diseases.
- Use of antibiotics \< 2 weeks before sampling
- Pre-existent diabetes mellitus
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Erasmus MC
Rotterdam, South Holland, 3015GD, Netherlands
Related Publications (11)
Rousian M, Schoenmakers S, Eggink AJ, Gootjes DV, Koning AHJ, Koster MPH, Mulders AGMGJ, Baart EB, Reiss IKM, Laven JSE, Steegers EAP, Steegers-Theunissen RPM. Cohort Profile Update: the Rotterdam Periconceptional Cohort and embryonic and fetal measurements using 3D ultrasound and virtual reality techniques. Int J Epidemiol. 2021 Nov 10;50(5):1426-1427l. doi: 10.1093/ije/dyab030. No abstract available.
PMID: 34097026BACKGROUNDGaillard R, Durmus B, Hofman A, Mackenbach JP, Steegers EA, Jaddoe VW. Risk factors and outcomes of maternal obesity and excessive weight gain during pregnancy. Obesity (Silver Spring). 2013 May;21(5):1046-55. doi: 10.1002/oby.20088.
PMID: 23784909BACKGROUNDMission JF, Marshall NE, Caughey AB. Pregnancy risks associated with obesity. Obstet Gynecol Clin North Am. 2015 Jun;42(2):335-53. doi: 10.1016/j.ogc.2015.01.008.
PMID: 26002170BACKGROUNDSingh AS, Mulder C, Twisk JW, van Mechelen W, Chinapaw MJ. Tracking of childhood overweight into adulthood: a systematic review of the literature. Obes Rev. 2008 Sep;9(5):474-88. doi: 10.1111/j.1467-789X.2008.00475.x. Epub 2008 Mar 5.
PMID: 18331423BACKGROUNDTanvig M. Offspring body size and metabolic profile - effects of lifestyle intervention in obese pregnant women. Dan Med J. 2014 Jul;61(7):B4893.
PMID: 25123127BACKGROUNDKuhle S, Muir A, Woolcott CG, Brown MM, McDonald SD, Abdolell M, Dodds L. Maternal pre-pregnancy obesity and health care utilization and costs in the offspring. Int J Obes (Lond). 2019 Apr;43(4):735-743. doi: 10.1038/s41366-018-0149-3. Epub 2018 Jul 13.
PMID: 30006584BACKGROUNDMorgan KL, Rahman MA, Macey S, Atkinson MD, Hill RA, Khanom A, Paranjothy S, Husain MJ, Brophy ST. Obesity in pregnancy: a retrospective prevalence-based study on health service utilisation and costs on the NHS. BMJ Open. 2014 Feb 27;4(2):e003983. doi: 10.1136/bmjopen-2013-003983.
PMID: 24578535BACKGROUNDElderman M, Hugenholtz F, Belzer C, Boekschoten M, de Haan B, de Vos P, Faas M. Changes in intestinal gene expression and microbiota composition during late pregnancy are mouse strain dependent. Sci Rep. 2018 Jul 3;8(1):10001. doi: 10.1038/s41598-018-28292-2.
PMID: 29968760BACKGROUNDSchoenmakers S, Steegers-Theunissen R, Faas M. The matter of the reproductive microbiome. Obstet Med. 2019 Sep;12(3):107-115. doi: 10.1177/1753495X18775899. Epub 2018 May 17.
PMID: 31523266BACKGROUNDTurnbaugh PJ, Hamady M, Yatsunenko T, Cantarel BL, Duncan A, Ley RE, Sogin ML, Jones WJ, Roe BA, Affourtit JP, Egholm M, Henrissat B, Heath AC, Knight R, Gordon JI. A core gut microbiome in obese and lean twins. Nature. 2009 Jan 22;457(7228):480-4. doi: 10.1038/nature07540. Epub 2008 Nov 30.
PMID: 19043404BACKGROUNDSchenkelaars N, Wekema L, Faas MM, Steegers-Theunissen RPM, Schoenmakers S. Protocol of the PROMOTE study: characterization of the microbiome, the immune response, and one-carbon metabolism in preconceptional and pregnant women with and without obesity (an observational subcohort of the Rotterdam Periconception cohort). PLoS One. 2025 Apr 2;20(4):e0319618. doi: 10.1371/journal.pone.0319618. eCollection 2025.
PMID: 40173397DERIVED
Biospecimen
Blood samples Vaginal sample (swab) Rectal sample (swab)
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator, gynecologist-perinatologist
Study Record Dates
First Submitted
January 24, 2023
First Posted
March 6, 2023
Study Start
July 21, 2022
Primary Completion
August 21, 2025
Study Completion (Estimated)
August 21, 2026
Last Updated
September 19, 2024
Record last verified: 2024-09
Data Sharing
- IPD Sharing
- Will not share