ClinicalTrials.gg
Not yet recruitingNCT07408973COGEMUpdated Jun 18, 2026

Prospective Twin Pregnancy Cohort at Montpellier University Hospital

An observational study in Pregnancy and Twin, sponsored by University Hospital, Montpellier. Not yet recruiting. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-06-18.

Sponsored by University Hospital, Montpellier · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
360
Ages
18 Years and older
Sex
All
01

Study summary

This prospective observational cohort study aims to investigate the impact of the maternal and early-life exposome on neonatal and early childhood health outcomes in twin pregnancies followed at University Hospital of Montpellier (France). Grounded in the Developmental Origins of Health and Disease (DOHaD) framework, the study focuses on how environmental, biological, and lifestyle exposures during pregnancy and the first year of life influence fetal growth, neonatal health, and early development.

A total of 120 women with monochorionic or dichorionic twin pregnancies and their 240 children will be included. Maternal exposome assessment includes air pollution exposure, lifestyle, diet, medical history, and biological measurements. Neonatal outcomes, including abnormal birth weight, will be evaluated at birth, and children will be followed until one year of age to assess growth, health events, and developmental outcomes. Biological samples collected at different times during the study will allow the assessment of chemical exposures and epigenetic markers. This study aims to generate original French twin pregnancy data and to improve understanding of environmental determinants of early-life health.

Read the detailed description

Introduction:

Over the past two decades, growing epidemiological evidence in humans and experimental studies in animals have supported the concept of the Developmental Origins of Health and Disease (DOHaD), initially proposed by Barker. This hypothesis suggests that environmental and maternal conditions during critical periods of development-particularly the first 1,000 days of life, from conception to early childhood-can induce long-term effects on organogenesis, metabolic pathways, and physiological functions, ultimately influencing physical and mental health throughout life.

In parallel, the concept of the exposome, introduced by Wild in 2005, aims to comprehensively characterize all environmental exposures (chemical, physical, biological, behavioral, and socioeconomic) encountered by an individual from conception onwards. Twin pregnancies represent a particularly valuable model for exposome research, as they allow the study of shared and differential exposures within the same intrauterine environment. Establishing a large French cohort of twin pregnancies is therefore essential to generate national data and to investigate the impact of environmental exposures on pregnancy outcomes, neonatal health, and early childhood development.

Primary Aim:

Assess the impact of maternal exposome during twin pregnancies followed at Montpellier University Hospital on the occurrence of abnormal neonatal birth weight (small for gestational age) at birth.

Secondary Aims:

  • Evaluate the impact of maternal exposome on neonatal abnormalities at birth and on child health outcomes during the first year of life.
  • Assess the association between maternal exposome and the occurrence of obstetric complications.
  • Compare outcomes between twins from monochorionic (monozygotic) and dichorionic pregnancies (dizygotic, different-sex twins), focusing on:

The impact of maternal exposome during pregnancy on child health outcomes. The impact of the child's own exposome on health outcomes during the first year of life.

Methods:

This is a prospective observational cohort study including women with twin pregnancies (monochorionic or dichorionic) of at least 25 weeks of gestation, followed and delivering at University Hospital of Montpellier (France). A total of 120 pregnant women and their 240 twin children will be enrolled.

Maternal data will be collected during pregnancy through electronic questionnaires and medical records, including sociodemographic characteristics, medical and obstetric history, lifestyle, diet, and environmental exposures. Maternal exposome assessment includes long-term exposure to ambient air pollutants from two years before pregnancy and throughout gestation, as well as biological measurements such as urinary lead levels at 25 weeks of gestation.

At delivery, biological samples will be collected from the mother, placenta, and umbilical cord (blood and tissue). Neonatal data will include anthropometric measurements and clinical outcomes at birth. The child exposome will be assessed through environmental exposure data during pregnancy and the first year of life, questionnaires on lifestyle and environment, and biological analyses including exposure to PFAS, heavy metals, and genomic/epigenetic markers from cord blood and tissue samples.

02

Conditions studied

  • Pregnancy
  • Twin

Keywords

  • Exposome
  • Air Pollutants
  • Lead
  • Diet, Food, and Nutrition
  • Healthy Lifestyle
  • Obstetric Labor Complications
  • Children Health
03

In context

Obstetric Labor Complications

88 studies on the registry are indexed under Obstetric Labor Complications; 24 are open to participants now.

This study's planned enrollment of 360 is above the median of 300 across 25 observational studies indexed under Obstetric Labor Complications.

Browse Obstetric Labor Complications studies →

Lead sponsor

University Hospital, Montpellier is the lead sponsor of 1,261 studies on the registry; 224 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Any dichorionic or monochorionic twin pregnancy of more than 25 weeks' gestation, monitored at the University Hospital of Montpellier.

Eligibility criteria

Mother's inclusion Criteria:

  • Patient of legal age (≥ 18 years)
  • Patient pregnant with a twin pregnancy ≥ 25 weeks of gestation
  • Pregnancy initially twin, triplet, or quadruplet, progressing to a twin pregnancy after spontaneous or medical embryo reduction, or after selective termination of pregnancy
  • Delivery planned at Montpellier University Hospital

Twins' inclusion Criteria:

  • Twins born in a twin pregnancy ≥ 25 weeks of gestation

Mother's exclusion Criteria:

  • Pregnant woman with at least one fetus presenting with a chromosomal or genetic abnormality or a polymalformative syndrome, and for whom early postnatal death is anticipated.
  • Planned travel preventing the study from being completed
  • Failure to obtain informed and written consent from the patient for participation in the study and the collection of biological samples
  • Patient unable to read and/or write French
  • Patient unable to understand and/or speak French
  • Patient not benefiting from a national health insurance scheme
  • Person under legal protection, guardianship or curatorship
  • Person participating in other interventional research study

Twins' exclusion Criteria:

  • Mother's absence from or withdrawal from the study
  • Birth in a facility other than Montpellier University Hospital
  • One or two children under guardianship
  • Lack of informed and written consent from legal representatives
  • One of the two fetuses is expected to die
  • Lack of informed and written consent from the prospective parent(s) for participation in the study and the collection of biological samples
  • Parents unable to read and/or write French
  • Parents not understanding and/or speaking French
05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
360 participants (estimated)
Patient registry
No
Biospecimen retention
Samples with dna

Groups and cohorts

  • Women pregnant with twins

    Other: Biological samples from the mother

  • Twins newborns

    Other: Biological samples from the twins

Interventions

  • OtherBiological samples from the mother

    During pregnancy, the research team collects: \- 15 ml of urine from the expectant mother. Immediately after delivery, the research team collects: * 10 ml of peripheral blood from the mother * One or two 2 cm x 2 cm pieces of placenta, depending on the type of pregnancy * 12 ml of cord blood for each twin * A 5 cm fragment of cord tissue for each twin

  • OtherBiological samples from the twins

    The day after delivery, the reserch team collects: \- A meconium sample from each twin At 6 months and 1 year of age, the parents collect: \- A stool sample from each twin

06

What researchers measure

Primary outcomes

  1. Maternal extern exposome

    Exposure to air pollutants (NO₂, PM₂.₅, O₃, VOCs) during the two years prior to and during pregnancy: these values will be derived from the Chimera model, and an area under the exposure curve will be calculated. The level of exposure will be calculated based on the mother's home addresses during the two years prior to inclusion, at the time of inclusion, and based on her work addresses during pregnancy if she worked for more than four months during pregnancy. These data will be assessed individually and incorporated into a statistical model. Data from the patient follow-up log, data from questionnaires: * Environment, general health, lifestyle, and diet. * Obstetric, medical, and surgical history, current pregnancy. These data will be assessed individually and incorporated into a statistical model.

    Time frame: From two years before pregnancy until delivery

  2. Maternal intern exposome

    Amount of lead in urine at 25 weeks of gestation. Lead will be measured by Montpellier University Hospital in a urine sample taken during the sixth month of pregnancy (inclusion) using ICP-Ms. These data will be assessed individually and incorporated into a statistical model.

    Time frame: From two years before pregnancy until delivery

  3. Abnormal newborn weight

    Growth retardation: Abnormal birth weight (in kg) for at least one of the two children (\< 3rd percentile according to the Olsen curve).

    Time frame: At childbirth

Secondary outcomes

  1. Abnormalities in children

    * Occurrence of one or more altered anthropometric characteristics (outside reference values) at birth: fetal macrosomia, abnormal height, abnormal head circumference. * Occurrence of one or more altered anthropometric characteristics (outside reference values) at D+15, 1, 3, 6, 8, 10 months and 1 year: abnormal weight (\<3rd or \>97th percentile, Olsen curve), abnormal height (\<5th or \>95th percentile), abnormal head circumference (\<5th or \>95th percentile). * Occurrence of a serious health problem at birth or during the first year of life. * Knowledge of occurrence of one or more of the following conditions during the first year: ENT, respiratory, gastroenterological, dermatological conditions, recognized atopy/allergies, early neurodevelopmental disorder. All these data will be assessed individually and incorporated into a statistical model.

    Time frame: From childbirth to the twins' first birthday

  2. Obstetric complications

    Occurrence of at least one of the obstetric complications listed in the patient follow-up record.

    Time frame: At childbirth

  3. Comparison of the Twins

    * Type of pregnancy from which the twins originate: monochorionic (monoamniotic or biamniotic) or dichorionic. * Sex of twins: 2 girls, or 2 boys, or 1 girl and 1 boy

    Time frame: At childbirth

  4. Children's extern exposome

    Exposure to air pollutants (NO2, PM2.5, O3, VOCs) throughout pregnancy and during the first year of life: these values will be derived from the Chimera model, and an area under the exposure curve will be calculated. The level of exposure will be determined based on the mother's personal and professional addresses during pregnancy and the first year of the children's lives. These data will be assessed individually and incorporated into a statistical model. Data from the patient follow-up log, data from questionnaires: • Environment, lifestyle, diet, treatments received, games and care. These data will be assessed individually and incorporated into a statistical model.

    Time frame: From childbirth to the twins' first birthday

  5. Children's intern exposome

    • Exposure to PFAS (per- and polyfluoroalkyl substances) substances can be measured using a piece of umbilical cord taken at birth. The measurement of PFAS in a piece of umbilical cord will be outsourced to a competent laboratory. The PFAS will be extracted from the tissue, then separated and finally quantified using a highly accurate analytical technique. These data will be assessed individually and incorporated into a statistical model. • Exposure to heavy metals can be measured using a sample of umbilical cord blood taken at birth. The measurement of heavy metals will be entrusted to a competent laboratory. The elements (lead, manganese, copper, zinc, mercury, cadmium, arsenic, selenium) present in the blood are measured by inductively coupled plasma mass spectrometry (ICP-MSMS) after being mineralised (internal method ESS\_ANA\_PT\_641). These data will be assessed individually and incorporated into a statistical model.

    Time frame: From childbirth to the twins' first birthday

Other outcomes

  1. Supplement to the mother's exposome

    Epigenetics: Maternal epigenome, characterization of the genome in a blood sample taken at delivery. Epigenetic analyses will be outsourced to a competent laboratory. Methylation sequencing will be performed using the Xgen Methyl-Seq DNA kit (IDT DNA). These data will be assessed individually and incorporated into a statistical model. Nutrient and Contaminant Profiling: * Nutrients (carbohydrates, amino acids, vitamins, minerals, fatty acids) in maternal blood at delivery. Analyses outsourced to a competent lab using methods specific to each nutrient type. * Heavy metal exposure: * Chronic: lead in urine; acute: heavy metals in blood (see "8. Children's internal exposome"). * Maternal-fetal transfer: heavy metals in placenta, analyzed by a competent lab, using a specific method. These data will be assessed individually and incorporated into a statistical model.

    Time frame: From inclusion to childbirth

  2. Supplement to the children's exposome

    * Epigenome : obtained from umbilical cord blood at birth ; analyses outsourced to a competent lab. Methylation sequencing with Xgen Methyl-Seq DNA kit (IDT DNA). Data assessed individually and integrated into a statistical model. * Maternal metabolites : assessed in urine collected at inclusion ; outsourced to a competent lab. Urinary metabolomics (untargeted or targeted small metabolites) via LC-MS/MS, GC-MS, or ¹H-NMR on spot or 24h urine, creatinine-normalized, to profile maternal metabolism and exposome. Data assessed individually and modeled statistically. * Twins' microbiome : meconium at birth and stool at 6 months and 1 year ; analyzed by specialized external lab via sequencing. Data assessed individually and modeled statistically. * IgA and IgE: quantified in milk during newborns' stay; analyses by Montpellier University Hospital. Data assessed individually and modeled statistically.

    Time frame: From inclusion to the twins' first birthday

  3. PM and PMT substances

    Chemical contaminants in the environment (Persistent and Mobile (PM) and Persistent Mobile and Toxic (PMT)) will be quantified from a 5 ml urine sample taken from pregnant women. The urine sample will be analyzed by Elena Gomez's team at UMR 5151 Hydrosciences in Montpellier.

    Time frame: At inclusion, 6 month of pregnancy

07

Study locations

No study locations are listed for this record.

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References and documents

Publications

  • Robinson R. The fetal origins of adult disease. BMJ. 2001 Feb 17;322(7283):375-6. doi: 10.1136/bmj.322.7283.375. No abstract available. PubMed 11179140 ↗
  • Kozyrskyj AL, Bahreinian S, Azad MB. Early life exposures: impact on asthma and allergic disease. Curr Opin Allergy Clin Immunol. 2011 Oct;11(5):400-6. doi: 10.1097/ACI.0b013e328349b166. PubMed 21772139 ↗
  • Wild CP. Complementing the genome with an "exposome": the outstanding challenge of environmental exposure measurement in molecular epidemiology. Cancer Epidemiol Biomarkers Prev. 2005 Aug;14(8):1847-50. doi: 10.1158/1055-9965.EPI-05-0456. No abstract available. PubMed 16103423 ↗
  • Gordon H, Blad W, Trier Moller F, Orchard T, Steel A, Trevelyan G, Ng S, Harbord M. UK IBD Twin Registry: Concordance and Environmental Risk Factors of Twins with IBD. Dig Dis Sci. 2022 Jun;67(6):2444-2450. doi: 10.1007/s10620-021-07080-5. Epub 2021 Jun 7. PubMed 34097167 ↗
  • Southwest Thames Obstetric Research Collaborative (STORK). Prospective risk of late stillbirth in monochorionic twins: a regional cohort study. Ultrasound Obstet Gynecol. 2012 May;39(5):500-4. doi: 10.1002/uog.11110. Epub 2012 Mar 7. PubMed 22302586 ↗
  • Garne E, Andersen HJ. The impact of multiple pregnancies and malformations on perinatal mortality. J Perinat Med. 2004;32(3):215-9. doi: 10.1515/JPM.2004.040. PubMed 15188793 ↗
  • Bricker L. Optimal antenatal care for twin and triplet pregnancy: the evidence base. Best Pract Res Clin Obstet Gynaecol. 2014 Feb;28(2):305-17. doi: 10.1016/j.bpobgyn.2013.12.006. Epub 2013 Dec 17. PubMed 24412490 ↗
  • Campbell DM, MacGillivray I. Preeclampsia in twin pregnancies: incidence and outcome. Hypertens Pregnancy. 1999;18(3):197-207. doi: 10.3109/10641959909016193. PubMed 10586523 ↗
  • Schwartz DB, Daoud Y, Zazula P, Goyert G, Bronsteen R, Wright D, Copes J. Gestational diabetes mellitus: metabolic and blood glucose parameters in singleton versus twin pregnancies. Am J Obstet Gynecol. 1999 Oct;181(4):912-4. doi: 10.1016/s0002-9378(99)70324-8. PubMed 10521752 ↗
  • Tang HHF, Teo SM, Sly PD, Holt PG, Inouye M. The intersect of genetics, environment, and microbiota in asthma-perspectives and challenges. J Allergy Clin Immunol. 2021 Mar;147(3):781-793. doi: 10.1016/j.jaci.2020.08.026. PubMed 33678251 ↗
  • Delvert R, Ghozal M, Adel-Patient K, Kadawathagedara M, Heude B, Charles MA, Annesi-Maesano I, Tafflet M, Leynaert B, Varraso R, de Lauzon-Guillain B, Bedard A. Maternal Diet Quality during Pregnancy and Allergic and Respiratory Multimorbidity Clusters in Children from the EDEN Mother-Child Cohort. Nutrients. 2022 Dec 28;15(1):146. doi: 10.3390/nu15010146. PubMed 36615802 ↗
  • Mensink-Bout SM, van Meel ER, de Jongste JC, Annesi-Maesano I, Aubert AM, Bernard JY, Chen LW, Cooper C, Crozier SR, Hanke W, Harvey NC, Hebert JR, Heude B, Jerzynska J, Kelleher CC, Mehegan J, McAuliffe FM, Phillips CM, Polanska K, Relton CL, Shivappa N, Suderman M, Jaddoe VWV, Duijts L. Maternal diet in pregnancy and child's respiratory outcomes: an individual participant data meta-analysis of 18 000 children. Eur Respir J. 2022 Apr 21;59(4):2101315. doi: 10.1183/13993003.01315-2021. Print 2022 Apr. PubMed 34503987 ↗
  • Collado-Soler R, Alferez-Pastor M, Torres FL, Trigueros R, Aguilar-Parra JM, Navarro N. A Systematic Review of Healthy Nutrition Intervention Programs in Kindergarten and Primary Education. Nutrients. 2023 Jan 20;15(3):541. doi: 10.3390/nu15030541. PubMed 36771248 ↗
  • Rani P, Dhok A. Effects of Pollution on Pregnancy and Infants. Cureus. 2023 Jan 18;15(1):e33906. doi: 10.7759/cureus.33906. eCollection 2023 Jan. PubMed 36819435 ↗
  • Olutola BG, Phoobane P. A Bibliometric Analysis of Literature on Prenatal Exposure to Air Pollution: 1994-2022. Int J Environ Res Public Health. 2023 Feb 9;20(4):3076. doi: 10.3390/ijerph20043076. PubMed 36833768 ↗
  • Pesce G, Sese L, Calciano L, Travert B, Dessimond B, Maesano CN, Ferrante G, Huel G, Prud'homme J, Guinot M, Soomro MH, Baloch RM, Lhote R, Annesi-Maesano I. Foetal exposure to heavy metals and risk of atopic diseases in early childhood. Pediatr Allergy Immunol. 2021 Feb;32(2):242-250. doi: 10.1111/pai.13397. Epub 2020 Nov 6. PubMed 33091176 ↗
  • Fasola S, Montalbano L, Cilluffo G, Cuer B, Malizia V, Ferrante G, Annesi-Maesano I, La Grutta S. A Critical Review of Statistical Methods for Twin Studies Relating Exposure to Early Life Health Conditions. Int J Environ Res Public Health. 2021 Dec 2;18(23):12696. doi: 10.3390/ijerph182312696. PubMed 34886424 ↗
  • Monden C, Pison G, Smits J. Twin Peaks: more twinning in humans than ever before. Hum Reprod. 2021 May 17;36(6):1666-1673. doi: 10.1093/humrep/deab029. PubMed 33709110 ↗
  • Olsen IE, Groveman SA, Lawson ML, Clark RH, Zemel BS. New intrauterine growth curves based on United States data. Pediatrics. 2010 Feb;125(2):e214-24. doi: 10.1542/peds.2009-0913. Epub 2010 Jan 25. PubMed 20100760 ↗

Individual participant data

Plan to share: Undecided — NC

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Start is estimated for Dec 2026; primary completion for Mar 2030, 39 months later.

How these figures are worked out, and which studies are left out of them.

Registered
Jan 22, 2026
First posted
Feb 13, 2026
StartEst.
Dec 2026
Primary completionEst.
Mar 1, 2030
CompletionEst.
Dec 1, 2030
Last update
Jun 18, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Jun 18, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT07408973
Responsible party
Sponsor
First posted
Feb 13, 2026
Start date
Dec 2026 (estimated)
Primary completion
Mar 1, 2030 (estimated)
Completion
Dec 1, 2030 (estimated)
Last update
Jun 18, 2026

Study contacts

Florent FUCHS, MD, PhD
Contact
f-fuchs@chu-montpellier.fr
+334 67 33 09 80
Davide CAIMMI, MD, PhD
Contact
dp-caimmi@chu-montpellier.fr
+334 67 33 61 03
Florent FUCHS, MD, PhD
principal investigator · University Hopistal of Montpellier

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is not yet recruiting, as verified in Jun 2026. You cannot join it, but the record below documents what was studied.

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