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临床试验/NCT04283864
NCT04283864进行中(未招募)不适用

Decoding Personalized Nutritional, Microbiome and Host Patterns Impacting Clinical and Prognostic Features in Crohn's Disease

Weizmann Institute of Science2 个研究点 分布在 2 个国家目标入组 300 人开始时间: 2020年11月29日最近更新:
适应症

试验速览

阶段
不适用
状态
进行中(未招募)
入组人数
300
试验地点
2
主要终点
Personalised nutrition Algorithm based on microbiome.

研究概览

简要总结

The study is 3 arms observational study with no intervention that aims to understand the link between Crohn's disease, microbiome and diet in children.

150 children newly diagnosed with Crohn's disease will participate in the study and their data will be used to create an algorithm about their microbiome, disease, diet, etc.

100 other children newly diagnosed will participate in the study and their data will be use to validate the algorithm.

The investigators will be recruiting 50 healthy participants: 20 that are undergoing an endoscopy for abdominal pain and 30 that comes to the physician for different reasons.

After parental consent, the participants will receive an explanation of the study and sign a consent form for colonoscopy. Before colonoscopy, participants will bring fecal samples, give blood samples, biopsies and biopsy brushes (superficial scraping of the tissue) will be taken during the operation. These samples will be retained until further consent is obtained for further study.

After receiving the results of the colonoscopy, children who have been diagnosed with Crohn's disease will be offered to participate in the second part of the study, they will receive an explanation about the app, collection of fecal samples at home, diet logs and anthropometric measurements, demographic information, medical and family history will be registered.

During the first 3 months: the participants will be asked to log data in the app and collect fecal samples at home. They will be asked to come for a follow up visit where anthropomorphic measurements and blood samples will be taken.

Participants will be asked to log in every day to report in the app daily activity and food intake throughout the study period. Each week, the research coordinator will call on participants to make sure the app is correctly filled in, collect the stool samples correctly and answer questions. During the entire study participants will collect fecal samples, every first week of the month participants will enter information in the app.

For children who have not been diagnosed with Crohn's disease by the colonoscopy, or children who visit the institute for reasons other than inflammatory bowel disease without a clear finding will participate in the study control group. If consent is given, fecal samples will be collected at the entrance of the study and after one year, blood samples, a food questionnaire and anthropometric indices, demographic information, medical and family history will be completed.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

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

入选标准

  • CD study group - 'Consent form - Part 1'
  • Children with clinical suspicion for CD.
  • Between 6 and 18 years of age.
  • Naïve to any medical or nutritional intervention.
  • CD study group - 'Consent form - Part 2'
  • Children with CD confirmed by endoscopy (and based on accepted criteria7)
  • Between 6 and 18 years of age.
  • Naïve to any medical or nutritional intervention.
  • Control group undergoing endoscopy en between 6 and 18 years of age undergoing colonoscopy for non-specific abdominal pain or other non-inflammatory gastrointestinal conditions.
  • Control group not undergoing colonoscopy
  • Children with no symptoms or signs of gastrointestinal disease and no known medical conditions.
  • Children between 6 and 18 years of age. These children will be recruited from general pediatric clinics (children attending for routine check-up), orthopedic clinics, ophthalmology clinics or schools.

排除标准

  • CD study group
  • Chronic treatment with any drug upon enrolment and the use of systemic antibiotics, probiotics or proton pump inhibitors during 30 days prior to enrollment.
  • Morbid obesity (BMI > 95th percentile for their age and gender).
  • Following particular dietary regimen/dietitian consultation/participation in another study.
  • Chronic use of steroids or immunomodulatory medications prior to CD diagnosis.
  • Any other chronic disease (e.g. HIV, Cushing disease, acromegaly, hyperthyroidism, etc.), cancer and recent anti-cancer therapy, neuro-psychiatric disorders, coagulation disorders, celiac disease or any other chronic GI disorder.
  • Gut-related surgery, including bariatric surgery.
  • Inability of the participant and nuclear family to follow and utilize the smartphone application.
  • Control group not undergoing colonoscopy
  • Children with no symptoms or signs of gastrointestinal disease and no known medical conditions.
  • Children between 6 and 18 years of age. These children will be recruited from general pediatric clinics (children attending for routine check-up), orthopedic clinics, ophthalmology clinics or schools.
  • Control group undergoing endoscopy
  • Any known chronic illness.
  • Following particular dietary regimen/dietitian consultation/participation in another study.
  • Chronic treatment with any drug upon enrolment and the use of systemic antibiotics, probiotics or proton pump inhibitors during 30 days prior to enrollment.
  • Gut-related surgery, including bariatric surgery.

结局指标

主要结局

Personalised nutrition Algorithm based on microbiome.

时间窗: 3 years

Using machine learning we will create a trained personalised decision-tree based predictor enabling a significant prediction of nutritional impacts on CD clinical and inflammatory features during the first year of follow-up. It will be based on information gathered from microbiome ( metagenomic and 16s sequencing of stool microbiome), nutritional questionnaire and disease states (via fecal calprotectin test) in children with Crohn's disease.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Eran Elinav

Principal Investigator, Host-Microbiome Interaction Research Group

Weizmann Institute of Science

研究点 (2)

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