Description

Crohn's Disease is a major health issue with a complex etiology and despite available medical treatment, patients endure poor quality of life. The disease 's characterization on a molecular level will allow for a better management of patients treatment. To do so, the strategy is to integrate precise prospective clinical records with extensive biological data in a large cohort of patients.

All the clinical centers, participating to the study, include patients, with a tight collaboration between Gastroenterology and Surgery departments. Demographics and clinical parameters are collected in an eCRF.

Inclusion of patients is performed, before a scheduled ileocecal resection or ileal resection, and after eligibility criteria checking, and consent form signature. During surgery, several samples are collected : blood samples, mucosal biopsies, and surgical specimens. As usual practice, post-operative treatment will be prescribed at investigator's discretion, with help of a pre-established algorithm. Then, an endoscopic exam is scheduled, at least 6 months after surgery, or at least 6 months after intestine continuity restoration, in case of temporary stoma. Several samples are also collected during this exam (blood, ileal and colon biopsies).

At the same time as these 2 visits, clinical data regarding medical history, CD history, surgical history, treatments history, post-operative treatment if prescribed, treatments history between surgery and colonoscopy 6 months later, endoscopic score. Clinical data are also collected 18 months after surgery during a scheduled visit organized as usual practice, for long-term study : Clinical relapse, surgical recurrence, change in the therapy, hospitalizations and complications A patient has achieved the study after the endoscopic exam.

Several studies will be performed along the cohort setting-up:

• Transcriptomic analyses of mucosal tissues:
• Identification of a molecular signature predictive of post-operative recurrence
• Molecular classification of ileal Crohn's Disease
• Study of the mucosa-associated microbiota
• Study of association of AIEC
• Study of anti-TNF efficacy in post-operative recurrence prevention
• Study of new biologics in the treatment of post-operative recurrence All the biologic samples are stored on sites at -80°C, or at room temperature depending on the samples : Samples collected in Formol tubes, are sent immediatly, at room temperature, to the central pathology department in Beaujon Hospital, Paris. All the other samples, stored at -80°C, are sent to a central department, the Bio-Bank of Pasteur Hospital, Nice (every 3 months).

Samples analyses are performed by dedicated research centers: DNA, and RNA extraction for transcriptome analysis, Micobiota analysis, Lipids analysis, AIEC analysis :

Histological analyzes: Analyzis of the structure and inflammatory status of intestinal tissue of patients of the cohort, particularly at the ileal limit of the surgical specimens.

Molecular Biology: Whole genome expression analyses are performed using microarray and followed by Gene Ontology and clustering analyses.

Microbiology

Adherent Invasive E.Coli (AIEC): The search for AIEC bacteria is carried out by culturing and investigating the characteristics of adhesion, invasion in Int-407 cells, and survival within THP-1 macrophages.

Microbiota: Bacterial composition of the ileal mucosa associated microbiota is analyzed at time of surgery using 16S (MiSeq, Illumina) sequencing. The obtained sequences are analyzed using the Qiime pipeline to assess composition, alpha and beta diversity.

Immunology

Phenotype of mucosal and peripheral immune cells: Immune cells are extracted from blood and fresh mucosal tissues. The phenotype of these cells is analyzed by cytometry.

T cell repertoire: T cell receptor analysis on DNA extracted from biopsies is performed by next generation sequencing (Adaptive Biotechnology Inc., Seattle, Washington, USA). It is hypothesized that the persistence of these clonal expansions could be linked to the presence of specific microbial antigens.

Data Integration: The aim is to predict post-operative recurrence at M6. Integration of all datasets will explore the ability to predict post-operative recurrence. This will also allow to establish a molecular classification of CD, similar to what is already available in the oncology field. It will also be tried to find regulatory genes of the intestinal mucosa ("hubs"), using causal models (Bayesian networks) and co-expression networks (WCGNA). These findings could help drive potential innovative therapy for the treatment of CD.

The comparative analysis of the mucosa-associated transcriptome and microbiome will be performed. This could allow to elucidate the relations between bacteria and the intestinal mucosa, and to uncover pathways implicated in the bacteria-mucosa dialog. The correlations between certain groups of bacteria and the activation of a number of genes will be looked at. And genes known to play a role in the interaction between the microbiome and the mucosa will be specifically studied (MUC, DEF, REG, NOD2, …).

Lastly, once the patient genotypes will be available, an analysis of the genome together with the transcriptome and the relationship between genotype, transcriptome, and microbiome will be performed.

This analysis should help to robustly identify major pathways involved in intestinal inflammation, study the role played by genetics, and the impact on the gut microbiome. And finally to correlate these results with carefully curated clinical data: relapse/remission, post-operative recurrence, efficacy of post-operative therapies (anti TNF agents, ustekinumab).