- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05176795
Host-microbiota-environment Interactions (MIP-1)
Study of the Determinants of Pediatric Onset Inflammatory Diseases: Host-microbiota-environment Interactions
Two types of inflammatory and autoimmune diseases (excluding monogenic diseases) can be distinguished in children: those similar to adult diseases but with an early onset (type 1 diabetes, inflammatory diseases of the gastrointestinal tract, rheumatoid arthritis with anti-CCP antibodies) and those specific to children that are not described in adults (early-onset juvenile idiopathic arthritis with anti-nuclear and anterior uveitis).
The familial and nosological aggregations suggest that these diseases are probably polygenically determined, and result from interactions with the environment. In a singular way, the incidence of "adult" diseases is increasing while the age of onset is getting earlier; conversely, there is no increase in early-onset juvenile idiopathic arthritis.
On the other hand, the influence of early events that may alter the microbiotic environment is different for different diseases: whereas cesarean section (or early antibiotic therapy) has been shown to increase the risk of JIA and T1DM, it does not seem to change the risk of IBD. We hypothesize that environmental factors, particularly those related to diet and bacterial and fungal digestive microbiota - are different between these disease categories.
Study Overview
Status
Intervention / Treatment
Detailed Description
Exploratory pathophysiology monocentric study including an initial case-control study, followed by a cohort for cases.
Controls will be siblings of cases with longitudinal follow-up.
Stool samples will be collected simultaneously from the child with JIA, T1DM or IBD (case) and his/her sibling(s) (control):
- at the time of diagnosis
- two months after diagnosis (for children with inflammatory disease only)
- one year after diagnosis (cases and controls)
Tryptase level in plasma will be recorded for the child with JIA, T1DM or IBD (at the time of diagnosis, 2 months and 1 year after diagnosis)
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Locations
-
-
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Clermont-Ferrand, France, 63000
- Recruiting
- CHU de Clermont-Ferrand
-
Principal Investigator:
- Etienne MERLIN
-
Contact:
- Etienne Merlin
- Phone Number: 04-73-75-00-15
- Email: e_merlin@chu-clermontferrand.fr
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
CASE:
- Newly diagnosed with JIA, IBD or T1DM
CONTROL:
- Brother/sister of child with pediatric onset inflammatory disease (same age category - same environment: diet, living environment)
Exclusion Criteria (case and control):
- Child with antibiotic treatment in the 4 weeks preceding the stool sample
- Recent digestive infectious disease (bacterial, viral, parasitic) (end of episode < 7 days)
Exclusion Criteria (control): children with autoimmune or inflammatory disease
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Control
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Experimental
Child under 10 years old newly diagnosed with JIA, IBD or T1DM
|
Comparaison of the gut microbiota composition
|
Active Comparator: Healthy control
Brother/sister of child with pediatric onset inflammatory disease (same age category - same environment: food, living space)
|
Comparaison of the gut microbiota composition
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Gut microbiota composition
Time Frame: Day 1
|
Variation between cases and controls in gut microbiota composition (determination of the gut microbiota composition by 16S metagenomic)
|
Day 1
|
Gut microbiota composition
Time Frame: 12 months
|
Variation between cases and controls in gut microbiota composition (determination of the gut microbiota composition by 16S metagenomic)
|
12 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Composition of the fecal volatolome
Time Frame: Day 1
|
The volatile compounds in the samples will be analyzed via solid-phase microextraction (SPME) coupled with gas chromatography-mass spectrometry (GC-MS)
|
Day 1
|
Variation in gut microbiota following initiation of therapy in patients newly diagnosed with JIA, IBD or T1DM.
Time Frame: Day 1, 2 months, 12 months
|
Characterization of the gut microbiota using a capture method by hybridization of the gene encoding 16S rRNA
|
Day 1, 2 months, 12 months
|
Tryptasemia
Time Frame: Day 1, 2 months, 12 months
|
Variation in plasma tryptase levels during the first year of the disease
|
Day 1, 2 months, 12 months
|
Fecal contamination with nanoparticles
Time Frame: Day 1
|
measurement of titane and silicia levels in stool sample
|
Day 1
|
Collaborators and Investigators
Investigators
- Principal Investigator: Etienne MERLIN, University Hospital, Clermont-Ferrand
Publications and helpful links
General Publications
- Schwiertz A, Jacobi M, Frick JS, Richter M, Rusch K, Kohler H. Microbiota in pediatric inflammatory bowel disease. J Pediatr. 2010 Aug;157(2):240-244.e1. doi: 10.1016/j.jpeds.2010.02.046. Epub 2010 Apr 18.
- Rouxel O, Da Silva J, Beaudoin L, Nel I, Tard C, Cagninacci L, Kiaf B, Oshima M, Diedisheim M, Salou M, Corbett A, Rossjohn J, McCluskey J, Scharfmann R, Battaglia M, Polak M, Lantz O, Beltrand J, Lehuen A. Cytotoxic and regulatory roles of mucosal-associated invariant T cells in type 1 diabetes. Nat Immunol. 2017 Dec;18(12):1321-1331. doi: 10.1038/ni.3854. Epub 2017 Oct 9. Erratum In: Nat Immunol. 2018 Jun 7;:
- Di Paola M, Cavalieri D, Albanese D, Sordo M, Pindo M, Donati C, Pagnini I, Giani T, Simonini G, Paladini A, Lionetti P, De Filippo C, Cimaz R. Alteration of Fecal Microbiota Profiles in Juvenile Idiopathic Arthritis. Associations with HLA-B27 Allele and Disease Status. Front Microbiol. 2016 Oct 26;7:1703. doi: 10.3389/fmicb.2016.01703. eCollection 2016.
- Defois C, Ratel J, Garrait G, Denis S, Le Goff O, Talvas J, Mosoni P, Engel E, Peyret P. Food Chemicals Disrupt Human Gut Microbiota Activity And Impact Intestinal Homeostasis As Revealed By In Vitro Systems. Sci Rep. 2018 Jul 20;8(1):11006. doi: 10.1038/s41598-018-29376-9.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
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
- Digestive System Diseases
- Glucose Metabolism Disorders
- Metabolic Diseases
- Immune System Diseases
- Autoimmune Diseases
- Endocrine System Diseases
- Gastrointestinal Diseases
- Diabetes Mellitus
- Joint Diseases
- Musculoskeletal Diseases
- Rheumatic Diseases
- Connective Tissue Diseases
- Gastroenteritis
- Arthritis
- Intestinal Diseases
- Diabetes Mellitus, Type 1
- Inflammatory Bowel Diseases
- Arthritis, Juvenile
Other Study ID Numbers
- RNI 2021 MERLIN
- 2021-AO1006-35 (Other Identifier: ANSM)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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