多模态CCA +关节ICA及相关神经递质谱融合分析溃疡性结肠炎患者sMRI-DTI。

IF 7 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Chengxiang Liu, Zi Wei, Jian Tang, Yintao Liu, Jingdong Lu, Yujia Li, Xin Liu, Peng Liu, Fenrong Chen
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引用次数: 0

摘要

背景:溃疡性结肠炎(UC)是一种慢性炎症性疾病,其病因复杂,病理机制不明确。神经影像学研究在提高诊断准确性和指导治疗决策方面发挥着关键作用,同时增强了我们对疾病机制的理解。我们旨在探讨UC患者灰质体积(GMV)和白质分数各向异性(FA)异常以及神经递质谱之间可能的联系。方法:34例UC患者和21例健康对照(hc)进行结构磁共振成像和弥散张量成像扫描。为了识别组间跨模态的联合和特定独立成分(ic),采用联合独立成分分析的多模态典型相关分析进行融合分析。在两种模式下,同一指数的组间差异显著的ic被认为是联合组判别性ic。关节ic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表现出显著组差异的成分,揭示了GMV/FA的特定神经生理机制。评估神经影像学表现与临床特征之间的关系。我们还研究了关节和模式特异性ic与神经递质谱之间的空间相关性。结果:与hc相比,UC患者在默认模式网络、丘脑、胼胝体、辐射冠、穹窿、丘脑后辐射、小脑中脚和皮质脊髓束中存在一个主要的联合组鉴别成分(GMV_IC4-FA_IC4)和一个模式特异性组鉴别成分(FA_IC5)。UC患者中GMV_IC5的载量与血小板水平呈显著负相关。此外,本研究还发现GMV_IC4异常与多巴胺和γ -氨基丁酸(GABAa)系统、FA_IC4异常与多巴胺、GABAa、乙酰胆碱和谷氨酸系统、FA_IC5异常与多巴胺和血清素系统存在显著相关性。结论:本研究提示UC患者情绪失调和内脏感觉加工的神经系统结构改变和相关神经递质变化之间存在复杂的相互作用。确定的共变GMV-FA补充了先前发现的结构异常。此外,这些发现为UC的神经病理机制和潜在的治疗靶点提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fusion analysis of sMRI-DTI in patients with ulcerative colitis by multimodal CCA + joint ICA and associated neurotransmitter profiles.

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.

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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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