RecruitingNCT06452550

Neurophenotype Predicts CD Disease Progression

Multimodal MRI-based Neurophenotype Reflecting Brain-gut Interactions to Predict Intestinal Disease Progression in Patients With Crohn's Disease


Sponsor

First Affiliated Hospital, Sun Yat-Sen University

Enrollment

500 participants

Start Date

May 1, 2021

Study Type

OBSERVATIONAL

Conditions

Summary

The goal of this observational study is aimed to develop a novel multimodal neuroimaging-based model to characterize the neurophenotype of Crohn's Disease patients and assess its ability for predicting disease progression, using multiomics data to interpret the model. Participants will be followed-up of at least six months for patients without disease progression to assess the relationship between neurophenotype and intestinal outcomes.


Eligibility

Min Age: 18 YearsMax Age: 45 Years

Plain Language Summary

Simplified for easier understanding

This study investigates whether brain MRI patterns in Crohn's disease patients can predict how their disease will progress over time. Crohn's disease is a chronic inflammatory bowel condition, and researchers suspect that changes in the brain (linked to pain processing and mood) may signal who will get worse. **You may be eligible if...** - You are aged 18–45 and have been diagnosed with Crohn's disease - You are right-handed - You can undergo a brain MRI, bowel MRI, and colonoscopy, and provide blood or stool samples **You may NOT be eligible if...** - You have taken antibiotics, probiotics, or prebiotics in the past 3 months - You have a history of brain surgery, stroke, or head trauma - You are taking antidepressants or central nervous system medications - You have claustrophobia or metal implants that prevent MRI Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DIAGNOSTIC_TESTLogistic regression (LR) prediction models

Logistic regression model was used to establish a model to distinguish different levels of intestinal inflammation.


Locations(1)

XploreMET v3.0 system

Shanghai, China

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NCT06452550


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