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多模态CCA+联合ICA对溃疡性结肠炎患者进行sMRI-DTI融合分析及相关神经递质谱研究。

Fusion analysis of sMRI-DTI in patients with ulcerative colitis by multimodal CCA + joint ICA and associated neurotransmitter profiles.

作者信息

Liu Chengxiang, Wei Zi, Tang Jian, Liu Yintao, Lu Jingdong, Li Yujia, Liu Xin, Liu Peng, Chen Fenrong

机构信息

School of Life Science and Technology, Xidian University, No. 2 South Taibai Road, Xi'an, 710071, Shaanxi, China.

Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, China.

出版信息

BMC Med. 2025 Jun 9;23(1):345. doi: 10.1186/s12916-025-04179-8.

Abstract

BACKGROUND

As a chronic inflammatory disease, ulcerative colitis (UC) is characterized by complex etiology and unclear pathological mechanisms. Neuroimaging research plays a pivotal role in improving diagnostic accuracy and guiding treatment decisions, while enhancing our understanding of disease mechanisms. We aimed to explore the possible associations between gray matter volume (GMV) and white matter fractional anisotropy (FA) abnormalities as well as the neurotransmitter profiles in UC patients.

METHODS

Thirty-four UC patients and 21 healthy controls (HCs) participated in structural magnetic resonance imaging and diffusion tensor imaging scans. To identify the joint and specific independent components (ICs) across modalities between groups, multimodal canonical correlation analysis with joint independent component analysis was used for fusion analysis. ICs with significant group differences from the same index across two modalities were considered joint group-discriminative ICs. Joint ICs reveal cross-modal neurophysiological mechanisms of GMV-FA. A modal-specific group-discriminative IC is defined as a component that shows significant group difference only in unimodal, revealing specific neurophysiological mechanisms of GMV/FA. The relationship between neuroimaging findings and clinical characteristics was assessed. We also investigated the spatial correlations between the joint and modality-specific ICs and neurotransmitter profiles.

RESULTS

Compared to HCs, patients with UC showed one joint group-discriminating component (GMV_IC4-FA_IC4) mainly in the default mode network, thalamus, corpus callosum, corona radiata, fornix, posterior thalamic radiation, middle cerebellar peduncle, and corticospinal tract as well as one modality-specific group-discriminating component (FA_IC5). The loadings of GMV_IC5 were significantly negatively correlated with platelet levels in UC. Moreover, significant associations between the abnormalities of GMV_IC4 and the dopamine and gamma-aminobutric acid (GABAa) system, between the abnormalities of FA_IC4 and the dopamine, GABAa, acetylcholine, and glutamate system, and between the abnormalities of FA_IC5 and dopamine and serotonin systems were found in this study.

CONCLUSIONS

This study suggested the complex interplay between structural alterations and associated neurotransmitter changes in neural systems subserving emotion dysregulation and visceral sensory processing in UC patients. The identified covarying GMV-FA complements previous findings of structural abnormalities. Furthermore, these findings provided novel insights into the neuropathological mechanisms and potential therapeutic targets of UC.

摘要

背景

溃疡性结肠炎(UC)作为一种慢性炎症性疾病,病因复杂,病理机制尚不明确。神经影像学研究在提高诊断准确性、指导治疗决策以及增进我们对疾病机制的理解方面发挥着关键作用。我们旨在探究UC患者灰质体积(GMV)和白质分数各向异性(FA)异常与神经递质谱之间的可能关联。

方法

34例UC患者和21名健康对照者(HCs)参与了结构磁共振成像和扩散张量成像扫描。为了识别组间跨模态的联合和特定独立成分(ICs),采用多模态典型相关分析与联合独立成分分析进行融合分析。来自两种模态相同指标且具有显著组间差异的ICs被视为联合组鉴别ICs。联合ICs揭示了GMV - FA的跨模态神经生理机制。模态特异性组鉴别IC被定义为仅在单模态中显示出显著组间差异的成分,揭示了GMV/FA的特定神经生理机制。评估了神经影像学结果与临床特征之间的关系。我们还研究了联合和模态特异性ICs与神经递质谱之间的空间相关性。

结果

与HCs相比,UC患者显示出一个主要位于默认模式网络、丘脑、胼胝体、放射冠、穹窿、丘脑后辐射、小脑中脚和皮质脊髓束的联合组鉴别成分(GMV_IC4 - FA_IC4)以及一个模态特异性组鉴别成分(FA_IC5)。UC患者中GMV_IC5的负荷与血小板水平显著负相关。此外,本研究发现GMV_IC4异常与多巴胺和γ-氨基丁酸(GABAa)系统之间、FA_IC4异常与多巴胺、GABAa、乙酰胆碱和谷氨酸系统之间以及FA_IC5异常与多巴胺和5-羟色胺系统之间存在显著关联。

结论

本研究提示了UC患者中参与情绪调节和内脏感觉处理的神经系统结构改变与相关神经递质变化之间的复杂相互作用。所识别的共变GMV - FA补充了先前关于结构异常的研究结果。此外,这些发现为UC的神经病理机制和潜在治疗靶点提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f72/12150476/cc634bc3ea6e/12916_2025_4179_Fig1_HTML.jpg

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