Influence of Intestinal Microbiota Implantation in Preterm Infants on Microbiota and Immune Orientation at 3 Years (PrimiBiota)

February 29, 2024 updated by: Centre Hospitalier Universitaire de Nīmes

Influence of Intestinal Microbiota Implantation Parameters in the Neonatal Period in Premature Infants on Microbiota Profiles and Immune Orientation at 3 Years of Age

The main objective of this research is to study the links between changes in the intestinal microbiota (in terms of diversity) during the first 6 weeks of life for preterm infants and the presence / absence of a TH1 immune status at 36 months of age.

Study Overview

Status

Active, not recruiting

Conditions

Detailed Description

The secondary objectives are to study the links between changes of the intestinal microbiota premature infants in terms of:

  • changing diversity of the microbiota in the first 6 weeks of life;
  • changes in the bacterial community (UniFrac study) during the first 6 weeks of life;
  • diversity of the microbiota up to 6 weeks;

-AND-

  • diversity of the microbiota at 1, 2 & 3 years;
  • bacterial communities (UniFrac study) at 1, 2 & 3 years;
  • lymphocyte subpopulation profiles at 3 years;
  • serum immunoglobulin A, G, M, E levels at 3 years;
  • history of infectious episodes, allergic and inflammatory episodes during the first 3 years of life.

The links between certain variables known in the literature and neonatal microbiota will be confirmed / studied in our population:

  • mode of delivery;
  • length (and type) of antibiotic therapy in the neonatal period;
  • duration of breastfeeding.

Study Type

Observational

Enrollment (Actual)

130

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Montpellier, France, 34295
        • CHRU de Montpellier - Hôpital Arnaud de Villeneuve
      • Nîmes Cedex 09, France, 30029
        • CHRU de Nîmes - Hôpital Universitaire Carémeau
      • Saint Gely Du Fesc, France, 34980
        • Réseau GRANDIR EN LANGUEDOC-ROUSILLON

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

No older than 1 day (Child)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

The study population consists of premature babies born at < 33 months gestation.

Description

Inclusion Criteria:

  • The parents of the patient (or legal guardian if any) have been informed about the implementation of the study, its objectives, its constraints, and patient rights
  • The parents of the patient (or legal guardian if any) must have given their free and informed consent and signed the consent form
  • The patient must be affiliated with or beneficiary of a health insurance plan
  • Premature infants born at less than 33 weeks of gestation

Exclusion Criteria:

  • The patient is participating in another interventional study (Excepted " Recherche du Portage de Clostridium butyricum et de Toxines de Clostridium chez les Prématurés Hospitalisés en Néonatologie afin de prédire la survenue d'Entérocolites Nécrosantes", RCB 2016-A00-529-42 ; " BetaDose Dose reduction of antenatal betamethasone given to prevent the neonatal complications associated with very preterm birth ", RCB 2016-001486-90.
  • It is not possible to correctly inform the parent (or legal guardian, if applicable)
  • A serious deformity or digestive malformation was diagnosed at birth
  • During the hospital stay in the neonatology department, the patient had a digestive disease requiring surgery (except necrotizing enterocolitis)
  • A transfer to another hospital is foreseen/predictable (eg, due to geographical distance)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
The study population
The study population corresponds to infants born at less than 33 weeks of gestation.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The presence/absence of a Th1 type immune orientation
Time Frame: 36 months
Immune orientation will be determined according to the following ratio determined by lymphocyte stimulation tests: INF-gamma/(INF-gamma+IL+4). The latter ratio varies between 0 and 0.5 with IL-4 > INF-gamma (TH2 orientation) and between 0.5 and 1 when INF-gamma > IL-4 (TH1 orientation).
36 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Blood lymphocyte subset determination
Time Frame: 36 months
Subsets are determined according to the presence/absence of the following differentiation clusters: CD3, CD4, CD8, CD19, CD25, CD56, CD127, FOXP3.
36 months

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Serum Immunoglobulin A level
Time Frame: 36 months
36 months
Serum Immunoglobulin G level
Time Frame: 36 months
36 months
Serum Immunoglobulin M level
Time Frame: 36 months
36 months
Serum Immunoglobulin E level
Time Frame: 36 months
36 months
The number of days in good health and no medications
Time Frame: 36 months
36 months
Richness of fecal microbiota (number of operational taxonomic units observed)
Time Frame: Day 0 (first meconium)
Day 0 (first meconium)
Richness of fecal microbiota (number of operational taxonomic units observed)
Time Frame: Week 1
Week 1
Richness of fecal microbiota (number of operational taxonomic units observed)
Time Frame: Week 2
Week 2
Richness of fecal microbiota (number of operational taxonomic units observed)
Time Frame: Week 3
Week 3
Richness of fecal microbiota (number of operational taxonomic units observed)
Time Frame: Week 4
Week 4
Richness of fecal microbiota (number of operational taxonomic units observed)
Time Frame: Week 5
Week 5
Richness of fecal microbiota (number of operational taxonomic units observed)
Time Frame: Week 6
Week 6
Richness of fecal microbiota (number of operational taxonomic units observed)
Time Frame: 12 months
12 months
Richness of fecal microbiota (number of operational taxonomic units observed)
Time Frame: 24 months
24 months
Richness of fecal microbiota (number of operational taxonomic units observed)
Time Frame: 36 months
36 months
Diversity of fecal microbiota (Shannon's index)
Time Frame: Day 0 (first meconium)
Day 0 (first meconium)
Diversity of fecal microbiota (Shannon's index)
Time Frame: Week 1
Week 1
Diversity of fecal microbiota (Shannon's index)
Time Frame: Week 2
Week 2
Diversity of fecal microbiota (Shannon's index)
Time Frame: Week 3
Week 3
Diversity of fecal microbiota (Shannon's index)
Time Frame: Week 4
Week 4
Diversity of fecal microbiota (Shannon's index)
Time Frame: Week 5
Week 5
Diversity of fecal microbiota (Shannon's index)
Time Frame: Week 6
Week 6
Diversity of fecal microbiota (Shannon's index)
Time Frame: 12 months
12 months
Diversity of fecal microbiota (Shannon's index)
Time Frame: 24 months
24 months
Diversity of fecal microbiota (Shannon's index)
Time Frame: 36 months
36 months
Functional richness of fecal microbiota (number of functional groups observed)
Time Frame: Day 0 (first meconium)
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
Day 0 (first meconium)
Functional richness of fecal microbiota (number of functional groups observed)
Time Frame: Week 1
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
Week 1
Functional richness of fecal microbiota (number of functional groups observed)
Time Frame: Week 2
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
Week 2
Functional richness of fecal microbiota (number of functional groups observed)
Time Frame: Week 3
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
Week 3
Functional richness of fecal microbiota (number of functional groups observed)
Time Frame: Week 4
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
Week 4
Functional richness of fecal microbiota (number of functional groups observed)
Time Frame: Week 5
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
Week 5
Functional richness of fecal microbiota (number of functional groups observed)
Time Frame: Week 6
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
Week 6
Functional richness of fecal microbiota (number of functional groups observed)
Time Frame: 12 months
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
12 months
Functional richness of fecal microbiota (number of functional groups observed)
Time Frame: 24 months
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
24 months
Functional richness of fecal microbiota (number of functional groups observed)
Time Frame: 36 months
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
36 months
Functional diversity of fecal microbiota (Shannon's index)
Time Frame: Day 0 (first meconium)
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
Day 0 (first meconium)
Functional diversity of fecal microbiota (Shannon's index)
Time Frame: Week 1
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
Week 1
Functional diversity of fecal microbiota (Shannon's index)
Time Frame: Week 2
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
Week 2
Functional diversity of fecal microbiota (Shannon's index)
Time Frame: Week 3
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
Week 3
Functional diversity of fecal microbiota (Shannon's index)
Time Frame: Week 4
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
Week 4
Functional diversity of fecal microbiota (Shannon's index)
Time Frame: Week 5
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
Week 5
Functional diversity of fecal microbiota (Shannon's index)
Time Frame: Week 6
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
Week 6
Functional diversity of fecal microbiota (Shannon's index)
Time Frame: 12 months
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
12 months
Functional diversity of fecal microbiota (Shannon's index)
Time Frame: 24 months
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
24 months
Functional diversity of fecal microbiota (Shannon's index)
Time Frame: 36 months
Functional groups are determined via the classification of each OTU according to the following factors: 1) pathogenicity (pathogen/intermediate/commensal); 2) aerobic versus anaerobic; 3) Cocci + versus others.
36 months
The relative abundance of primary fecal microbiota families
Time Frame: Day 0 (first meconium)
Day 0 (first meconium)
The relative abundance of primary fecal microbiota families
Time Frame: Week 1
Week 1
The relative abundance of primary fecal microbiota families
Time Frame: Week 2
Week 2
The relative abundance of primary fecal microbiota families
Time Frame: Week 3
Week 3
The relative abundance of primary fecal microbiota families
Time Frame: Week 4
Week 4
The relative abundance of primary fecal microbiota families
Time Frame: Week 5
Week 5
The relative abundance of primary fecal microbiota families
Time Frame: Week 6
Week 6
The relative abundance of primary fecal microbiota families
Time Frame: 12 months
12 months
The relative abundance of primary fecal microbiota families
Time Frame: 24 months
24 months
The relative abundance of primary fecal microbiota families
Time Frame: 36 months
36 months
Fecal microbiota unifrac ordination score
Time Frame: Day 0 (first meconium)
Day 0 (first meconium)
Fecal microbiota unifrac ordination score
Time Frame: Week 1
Week 1
Fecal microbiota unifrac ordination score
Time Frame: Week 2
Week 2
Fecal microbiota unifrac ordination score
Time Frame: Week 3
Week 3
Fecal microbiota unifrac ordination score
Time Frame: Week 4
Week 4
Fecal microbiota unifrac ordination score
Time Frame: Week 5
Week 5
Fecal microbiota unifrac ordination score
Time Frame: Week 6
Week 6
Fecal microbiota unifrac ordination score
Time Frame: 12 months
12 months
Fecal microbiota unifrac ordination score
Time Frame: 24 months
24 months
Fecal microbiota unifrac ordination score
Time Frame: 36 months
36 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Director: Anne Filleron, MD, PhD, Centre Hospitalier Universitaire de Nîmes

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

May 12, 2017

Primary Completion (Actual)

November 28, 2022

Study Completion (Estimated)

June 30, 2024

Study Registration Dates

First Submitted

April 11, 2016

First Submitted That Met QC Criteria

April 13, 2016

First Posted (Estimated)

April 14, 2016

Study Record Updates

Last Update Posted (Actual)

March 1, 2024

Last Update Submitted That Met QC Criteria

February 29, 2024

Last Verified

February 1, 2024

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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