Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Bristol-Myers Squibb | INDUSTRY |
Not provided
Not provided
Not provided
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.
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.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Ulcerative colitis patients | Patients with a flare of ulcerative colitis who meet the inclusion criteria. 120 patients will be included. |
| |
| Controls | For each patient, enrollment of a healthy control individual who shares the same living conditions (e.g., spouse or roommate) is attempted |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Ozanimod | Drug | Start of standard therapy |
| |
| Measure | Description | Time Frame |
|---|---|---|
| Development of a predictive score regarding success of anti-inflammatory therapy after start of a new treatment in ulcerative colitis | 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. | 4 months |
| Measure | Description | Time Frame |
|---|---|---|
| Predicting clinical remission | Assessment of the microbiota/metabolic signature predicting clinical remission (SSCAI <2.5) | 8 weeks |
| Predicting clinical remission | Assessment of the microbiota/metabolic signature predicting clinical remission (SSCAI <2.5) |
Not provided
Inclusion criteria ulcerative colitis:
Exclusion criteria ulcerative colitis
Inclusion criteria controls
Signed informed consent
Age 18-80 years
General ability to understand and follow study procedures, fluency in German, French, or English
No current or past diagnosis of inflammatory bowel disease (IBD)
No current medical complaints typic for IBD e.g.
No other current relevant gastrointestinal disease or condition plausibly interfering with microbiota assessment according to the discretion of the study physician
Exclusion criteria controls
Not provided
Not provided
Patients/ participants fulfilling inclusion criteria to one of the following groups will be included:
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Benjamin Misselwitz, Prof. | Contact | 31 664 0430 | +41 | benjamin.misselwitz@dbmr.unibe.ch |
| Jacqueline Wyss, Dr. | Contact | 764411617 | +41 | jacqueline.wyss@dbmr.unibe.ch |
| Name | Affiliation | Role |
|---|---|---|
| Benjamin Misselwitz, Prof. | Insel Gruppe AG, University Hospital Bern | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Hospital Bern Inselspital | Recruiting | Bern | 3013 | Switzerland |
Analytic code for generation of the predictive signature will be made available to other researchers
With publication of results
Acess to analytic code will be detailed in the final publication
Not provided
Not provided
| ID | Term |
|---|---|
| D003093 | Colitis, Ulcerative |
| ID | Term |
|---|---|
| D003092 | Colitis |
| D005759 | Gastroenteritis |
| D005767 | Gastrointestinal Diseases |
| D004066 | Digestive System Diseases |
Not provided
Not provided
| ID | Term |
|---|---|
| C000607776 | ozanimod |
| D000079424 | Tumor Necrosis Factor Inhibitors |
| D000069285 | Infliximab |
| D000068879 | Adalimumab |
| D000068800 | Etanercept |
| C529000 | golimumab |
| D000068582 | Certolizumab Pegol |
| D013256 | Steroids |
| C543529 | vedolizumab |
| D000069549 | Ustekinumab |
| ID | Term |
|---|---|
| D000893 | Anti-Inflammatory Agents |
| D045506 | Therapeutic Uses |
| D020228 | Pharmacologic Actions |
| D020164 | Chemical Actions and Uses |
Not provided
Not provided
Not provided
Not provided
Not provided
Stool samples collected by patients and healthy controls
| TNF Inhibitor |
| Drug |
Start of standard therapy |
|
|
| Steroids | Drug | Start of standard therapy |
|
|
| Vedolizumab | Drug | Start of standard therapy |
|
| Ustekinumab | Drug | Start of standard therapy |
|
| 12 weeks |
| Predicting clinical remission | Assessment of the microbiota/metabolic signature predicting clinical remission (SSCAI <2.5) | 6 months |
| Predicting clinical remission | Assessment of the microbiota/metabolic signature predicting clinical remission (SSCAI <2.5) | 12 months |
| Predicting calprotectin reduction | Assessment of the microbiota/metabolic signature predicting a reduction in fecal calprotectin levels | 2 weeks |
| Predicting calprotectin reduction | Assessment of the microbiota/metabolic signature predicting a reduction in fecal calprotectin levels | 8 weeks |
| Predicting calprotectin reduction | Assessment of the microbiota/metabolic signature predicting a reduction in fecal calprotectin levels | 12 weeks |
| Predicting calprotectin reduction | Assessment of the microbiota/metabolic signature predicting a reduction in fecal calprotectin levels | 6 months |
| Predicting calprotectin reduction | Assessment of the microbiota/metabolic signature predicting a reduction in fecal calprotectin levels | 12 months |
| Differential microbiota response to therapy: Ozanimod | Sensitivity analysis in the subgroup treated with Ozanimod in regards to differential signatures in the prediction signature | 12 months |
| Differential microbiota response to therapy: TNF-inhibitors | Sensitivity analysis in the subgroup treated with TNF-inhibitors in regards to differential signatures in the prediction signature | 12 months |
| Differential microbiota response to therapy: Vedolizumab | Sensitivity analysis in the subgroup treated with Vedolizumab in regards to differential signatures in the prediction signature | 12 months |
| Differential microbiota response to therapy: Ustekinumab | Sensitivity analysis in the subgroup treated with Ustekinumab in regards to differential signatures in the prediction signature | 12 months |
| Differential microbiota response to therapy: Steroids | Sensitivity analysis in the subgroup treated with Steroids in regards to differential signatures in the prediction signature | 12 months |
| Signature differences between ulcerative colitis and healthy controls | Comparison of microbiota/metabolic signatures between ulcerative colitis patients and controls using clustering and differential abundance analysis | 12 months |
| Metagenomic substrain assessment | Identification of substrains in patient samples using metagenomic sequencing and follow up their persistence/loss over time | 12 months |
| Fatigue assessment | Fatigue severity measured by the fatigue severity scale over time and assessed for reduction after therapy start | 12 months |
| Adverse effects | Assessment regarding potential adverse effects in relation medical therapy by screening questionnaires | 12 months |
| D015212 |
| Inflammatory Bowel Diseases |
| D003108 | Colonic Diseases |
| D007410 | Intestinal Diseases |
| D000911 | Antibodies, Monoclonal |
| D000906 | Antibodies |
| D007136 | Immunoglobulins |
| D007162 | Immunoproteins |
| D001798 | Blood Proteins |
| D011506 | Proteins |
| D000602 | Amino Acids, Peptides, and Proteins |
| D012712 | Serum Globulins |
| D005916 | Globulins |
| D061067 | Antibodies, Monoclonal, Humanized |
| D007141 | Immunoglobulin Fc Fragments |
| D007128 | Immunoglobulin Fragments |
| D010446 | Peptide Fragments |
| D010455 | Peptides |
| D007127 | Immunoglobulin Constant Regions |
| D018124 | Receptors, Tumor Necrosis Factor |
| D018121 | Receptors, Cytokine |
| D011971 | Receptors, Immunologic |
| D011956 | Receptors, Cell Surface |
| D008565 | Membrane Proteins |
| D011092 | Polyethylene Glycols |
| D011108 | Polymers |
| D046911 | Macromolecular Substances |
| D007140 | Immunoglobulin Fab Fragments |
| D000072473 | Fused-Ring Compounds |
| D011083 | Polycyclic Compounds |