跳至主要内容
临床试验/NCT05702879
NCT05702879招募中不适用

An Early Combined Microbiota and Metabolic Signature in Ulcerative Colitis Patients Predict the Clinical Success of Anti-inflammatory Therapy

Insel Gruppe AG, University Hospital Bern1 个研究点 分布在 1 个国家目标入组 240 人开始时间: 2023年9月6日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
招募中
入组人数
240
试验地点
1
主要终点
Development of a predictive score regarding success of anti-inflammatory therapy after start of a new treatment in ulcerative colitis

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Observational
观察模型
Case Control
时间视角
Prospective

入排标准

年龄范围
18 Years 至 80 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 未提供

排除标准

  • 未提供

研究组 & 干预措施

Ulcerative colitis patients

Patients with a flare of ulcerative colitis who meet the inclusion criteria. 120 patients will be included.

干预措施: Ozanimod (Drug)

Ulcerative colitis patients

Patients with a flare of ulcerative colitis who meet the inclusion criteria. 120 patients will be included.

干预措施: TNF Inhibitor (Drug)

Ulcerative colitis patients

Patients with a flare of ulcerative colitis who meet the inclusion criteria. 120 patients will be included.

干预措施: Steroids (Drug)

Ulcerative colitis patients

Patients with a flare of ulcerative colitis who meet the inclusion criteria. 120 patients will be included.

干预措施: Vedolizumab (Drug)

Ulcerative colitis patients

Patients with a flare of ulcerative colitis who meet the inclusion criteria. 120 patients will be included.

干预措施: Ustekinumab (Drug)

结局指标

主要结局

Development of a predictive score regarding success of anti-inflammatory therapy after start of a new treatment in ulcerative colitis

时间窗: 4 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.

次要结局

  • Predicting clinical remission(12 months)
  • Differential microbiota response to therapy: TNF-inhibitors(12 months)
  • Signature differences between ulcerative colitis and healthy controls(12 months)
  • Differential microbiota response to therapy: Ozanimod(12 months)
  • Predicting calprotectin reduction(12 months)
  • Differential microbiota response to therapy: Ustekinumab(12 months)
  • Adverse effects(12 months)
  • Differential microbiota response to therapy: Vedolizumab(12 months)
  • Differential microbiota response to therapy: Steroids(12 months)
  • Metagenomic substrain assessment(12 months)
  • Fatigue assessment(12 months)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

Loading locations...

相似试验

Combined Microbiota and Metabolic Signature in... | 临床试验