Ignite Creation Date:
2024-06-16 @ 11:51 AM
Last Modification Date:
2024-10-26 @ 3:31 PM
Study NCT ID:
NCT06452550
Status:
RECRUITING
Last Update Posted:
2024-06-11
First Post:
2024-06-05
Brief Title:
Neurophenotype Predicts CD Disease Progression
Sponsor:
First Affiliated Hospital Sun Yat-Sen University
Organization:
First Affiliated Hospital Sun Yat-Sen University
Study Overview
Official Title:
Multimodal MRI-based Neurophenotype Reflecting Brain-gut Interactions to Predict Intestinal Disease Progression in Patients With Crohns Disease
Status:
RECRUITING
Status Verified Date:
2024-06
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
The goal of this observational study is aimed to develop a novel multimodal neuroimaging-based model to characterize the neurophenotype of Crohns 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
Participants will be followed-up of at least six months for patients without disease progression to assess the relationship between neurophenotype and intestinal outcomes
Detailed Description:
Brain-gut axis plays a crucial role in the pathogenesis of Crohns disease CD however CD neurophenotype and its impact on intestinal disease progression remain unclear We aimed to develop a novel multimodal neuroimaging-based model to characterize the neurophenotype of CD patients and assess its ability for predicting disease progression using multiomics data to interpret the model This study enrolled CD patients who underwent baseline testing including neuroimaging psychological scales MR enterography and ileocolonoscopy and faecalblood samples collection The neurophenotypes of patients were characterized using a neuroimaging-based model The predictive ability of neurophenotype model for disease progression was evaluated using Cox regression analysis Multiomics data including faecal microbiome faecalblood metabolomics intestinal permeability blood-brain-barrier permeability and blood neurotransmitter levels were used to elucidate how neurophenotypes reflect brain-gut interactions
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None