Multiparametric brain MRI fingerprints stratify intestinal fibrosis severity in Crohn’s disease

Intestinal fibrosis remains a major therapeutic challenge in Crohn’s disease (CD) management. While the brain-gut axis is central to CD pathogenesis, whether neural alterations may provide complementary information about intestinal fibrogenesis remains unexplored. We aimed to develop a multiparametric brain MRI “fingerprint” model to stratify fibrosis severity and to explore potential metabolite-related links between brain and fibrosis. In this two-center prospective study (n = 109), we integrated multiparametric brain MRI (functional, structural, and microstructural), magnetic resonance enterography (MRE) with magnetization transfer (MT), and serum targeted metabolomics (429 metabolites). A brain fingerprint model was developed using machine learning (recursive feature elimination) to differentiate moderate-to-severe fibrosis (BF2) from non-to-mild fibrosis (BF1). Exploratory mediation analyses were performed to assess potential indirect associations among brain imaging features, serum metabolites, and fibrosis-associated MRE findings. The brain fingerprint model, comprising 13 neuroimaging features, demonstrated robust performance in identifying moderate-to-severe fibrosis in CD patients (AUC training =0.923; AUC validation =0.837; AUC test =0.846). The brain fingerprint index positively correlated with both normalized MTR ( r = 0.53) and bowel stricture ( r = 0.31). Patients with moderate-to-severe fibrosis exhibited reduced cortical R2* and Amplitude of Low-Frequency Fluctuations (ALFF), alongside increased activity in the isthmus cingulate cortex. Exploratory mediation analyses yielded 13 nominal indirect associations involving serum metabolites; none met the Benjamini–Hochberg false discovery rate-adjusted significance threshold. Multiparametric brain MRI features were associated with normalized MTR-defined intestinal fibrosis severity in CD. The resulting brain fingerprint demonstrated robust discrimination between MTR-defined fibrosis strata and may provide a noninvasive extraintestinal imaging marker complementary to local bowel imaging.

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Publication Details

Journal
BMC Medical Imaging
Published
2026-09-17
DOI
https://doi.org/10.1186/s12880-026-02795-1
Primary Topic
Inflammatory Bowel Disease
Type
article
Field-Weighted Citation Impact
0.00

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article

Multiparametric brain MRI fingerprints stratify intestinal fibrosis severity in Crohn’s disease

Cien Fan, Xiaozhao Zhuang, Xuehua Li, Qiaochu Zhao et al.
BMC Medical Imaging
Inflammatory Bowel Disease
article

Multiparametric brain MRI fingerprints stratify intestinal fibrosis severity in Crohn’s disease

Cien Fan, Xiaozhao Zhuang, Xuehua Li, Qiaochu Zhao, Dailin Li, Weikai Zheng, Qingzhu Zheng, Lili Huang, Ruonan Zhang, Yangdi Wang, Xiaodi Shen
article en

Abstract

Intestinal fibrosis remains a major therapeutic challenge in Crohn’s disease (CD) management. While the brain-gut axis is central to CD pathogenesis, whether neural alterations may provide complementary information about intestinal fibrogenesis remains unexplored. We aimed to develop a multiparametric brain MRI “fingerprint” model to stratify fibrosis severity and to explore potential metabolite-related links between brain and fibrosis. In this two-center prospective study (n = 109), we integrated multiparametric brain MRI (functional, structural, and microstructural), magnetic resonance enterography (MRE) with magnetization transfer (MT), and serum targeted metabolomics (429 metabolites). A brain fingerprint model was developed using machine learning (recursive feature elimination) to differentiate moderate-to-severe fibrosis (BF2) from non-to-mild fibrosis (BF1). Exploratory mediation analyses were performed to assess potential indirect associations among brain imaging features, serum metabolites, and fibrosis-associated MRE findings. The brain fingerprint model, comprising 13 neuroimaging features, demonstrated robust performance in identifying moderate-to-severe fibrosis in CD patients (AUC training =0.923; AUC validation =0.837; AUC test =0.846). The brain fingerprint index positively correlated with both normalized MTR ( r = 0.53) and bowel stricture ( r = 0.31). Patients with moderate-to-severe fibrosis exhibited reduced cortical R2* and Amplitude of Low-Frequency Fluctuations (ALFF), alongside increased activity in the isthmus cingulate cortex. Exploratory mediation analyses yielded 13 nominal indirect associations involving serum metabolites; none met the Benjamini–Hochberg false discovery rate-adjusted significance threshold. Multiparametric brain MRI features were associated with normalized MTR-defined intestinal fibrosis severity in CD. The resulting brain fingerprint demonstrated robust discrimination between MTR-defined fibrosis strata and may provide a noninvasive extraintestinal imaging marker complementary to local bowel imaging.

BMC Medical Imaging
Sun Yat-sen University (CN), Shantou University (CN), Shantou University Medical College (CN), Hainan General Hospital (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Hainan Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, Natural Science Foundation of Hainan Province
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 11%
Inflammatory Bowel Disease
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