An observational study in Radiomics and Multi-omics, sponsored by First Affiliated Hospital, Sun Yat-Sen University. Recruiting at 1 site in China. Open to participants aged 18 Years to 45 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-06-11.
Sponsored by First Affiliated Hospital, Sun Yat-Sen University · Observational
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.
Brain-gut axis plays a crucial role in the pathogenesis of Crohn's 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 faecal/blood 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, faecal/blood metabolomics, intestinal permeability, blood-brain-barrier permeability, and blood neurotransmitter levels) were used to elucidate how neurophenotypes reflect brain-gut interactions.
544 studies on the registry are indexed under Disease Progression; 144 are open to participants now.
This study's planned enrollment of 500 is above the median of 198 across 260 observational studies indexed under Disease Progression.
Browse Disease Progression studies →First Affiliated Hospital, Sun Yat-Sen University is the lead sponsor of 155 studies on the registry; 51 are open to participants now.
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This study included adult patients aged 18 to 45 with Crohn's disease (CD) who were admitted to the First Affiliated Hospital of Sun Yat-sen University between May 2021 and June 2025.
Exclusion Criteria:
On MR enterography, the Magnetic Resonance Index of Activity (MaRIA) and Magnetic Resonance Enterography Global Score (MEGS) were used to characterize intestinal inflammation by assessing intramural and extramural lesions in both the small and large intestines. In ileocolonoscopy, the Simplified Endoscopic Activity Score for Crohn's Disease (SES-CD) was used to quantify mucosal or luminal lesions from the terminal ileum to the colorectum. Both modalities were used to classify patients with no-to-mild or moderate-to-severe inflammation. We defined patients as having moderate-to-severe inflammation when at least two of the following criteria were met: (1) MaRIA≥11; (2) MEGS≥ 10 for the small bowel or MEGS≥12 for the colon; or (3) SES-CD≥11. Otherwise, patients were categorized as having no-to-mild inflammation.
Diagnostic Test: Logistic regression (LR) prediction models
On MR enterography, the Magnetic Resonance Index of Activity (MaRIA) and Magnetic Resonance Enterography Global Score (MEGS) were used to characterize intestinal inflammation by assessing intramural and extramural lesions in both the small and large intestines. In ileocolonoscopy, the Simplified Endoscopic Activity Score for Crohn's Disease (SES-CD) was used to quantify mucosal or luminal lesions from the terminal ileum to the colorectum. Both modalities were used to classify patients with no-to-mild or moderate-to-severe inflammation. We defined patients as having moderate-to-severe inflammation when at least two of the following criteria were met: (1) MaRIA≥11; (2) MEGS≥ 10 for the small bowel or MEGS≥12 for the colon; or (3) SES-CD≥11. Otherwise, patients were categorized as having no-to-mild inflammation.
Diagnostic Test: Logistic regression (LR) prediction models
Logistic regression model was used to establish a model to distinguish different levels of intestinal inflammation.
The area under the ROC curve (AUC) to assess the performance of diagnostic model
After baseline brain MRI scanning, patients were followed up.
Time frame: 6 months
Plan to share: Undecided — Disclosure is subject to application
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First Affiliated Hospital, Sun Yat-Sen University