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Combined Microbiota and Metabolic Signature in Ulcerative Colitis Predicts Anti-Inflammatory Therapy Success

Recruiting
Conditions
Ulcerative Colitis
Interventions
Registration Number
NCT05702879
Lead Sponsor
Insel Gruppe AG, University Hospital Bern
Brief Summary

The primary goal of the study is to develop an early (within 4 weeks) combined microbiota/metabolic signature predicting clinical response upon anti-inflammatory treatment in UC patients.

Detailed Description

The investigators perform a longitudinal prospective multi-center study for ulcerative colitis (UC) patients with a flare at/and after the time of starting a new treatment and healthy household controls. They will perform intense longitudinal bio-sampling and deep clinical characterization.

With this information the aim is to develop a predictive signature regarding the success of a new ly started anti-inflammatory therapy after an UC flare.

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
240
Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Ulcerative colitis patientsTNF InhibitorPatients with a flare of ulcerative colitis who meet the inclusion criteria. 120 patients will be included.
Ulcerative colitis patientsOzanimodPatients with a flare of ulcerative colitis who meet the inclusion criteria. 120 patients will be included.
Ulcerative colitis patientsSteroidsPatients with a flare of ulcerative colitis who meet the inclusion criteria. 120 patients will be included.
Ulcerative colitis patientsVedolizumabPatients with a flare of ulcerative colitis who meet the inclusion criteria. 120 patients will be included.
Ulcerative colitis patientsUstekinumabPatients with a flare of ulcerative colitis who meet the inclusion criteria. 120 patients will be included.
Primary Outcome Measures
NameTimeMethod
Development of a predictive score regarding success of anti-inflammatory therapy after start of a new treatment in ulcerative colitis4 months

The predictive microbiota signature will be developed using machine learning, considering clinical data, microbiota descriptors, and metabolic changes from day 0 to week 4 (see analysis). Clinical response will be defined as a decrease in the simple clinical colitis activity index (SCCAI) score by ≥3 points 25or to a level of ≤2.5 points 26 at 8 weeks after the start of anti-inflammatory treatment.

Secondary Outcome Measures
NameTimeMethod
Predicting clinical remission12 months

Assessment of the microbiota/metabolic signature predicting clinical remission (SSCAI \<2.5)

Differential microbiota response to therapy: TNF-inhibitors12 months

Sensitivity analysis in the subgroup treated with TNF-inhibitors in regards to differential signatures in the prediction signature

Signature differences between ulcerative colitis and healthy controls12 months

Comparison of microbiota/metabolic signatures between ulcerative colitis patients and controls using clustering and differential abundance analysis

Predicting calprotectin reduction12 months

Assessment of the microbiota/metabolic signature predicting a reduction in fecal calprotectin levels

Differential microbiota response to therapy: Ustekinumab12 months

Sensitivity analysis in the subgroup treated with Ustekinumab in regards to differential signatures in the prediction signature

Adverse effects12 months

Assessment regarding potential adverse effects in relation medical therapy by screening questionnaires

Differential microbiota response to therapy: Vedolizumab12 months

Sensitivity analysis in the subgroup treated with Vedolizumab in regards to differential signatures in the prediction signature

Differential microbiota response to therapy: Steroids12 months

Sensitivity analysis in the subgroup treated with Steroids in regards to differential signatures in the prediction signature

Metagenomic substrain assessment12 months

Identification of substrains in patient samples using metagenomic sequencing and follow up their persistence/loss over time

Fatigue assessment12 months

Fatigue severity measured by the fatigue severity scale over time and assessed for reduction after therapy start

Differential microbiota response to therapy: Ozanimod12 months

Sensitivity analysis in the subgroup treated with Ozanimod in regards to differential signatures in the prediction signature

Trial Locations

Locations (1)

University Hospital Bern Inselspital

🇨🇭

Bern, Switzerland

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