无症状克雅氏病的脑代谢网络重构。

IF 5.1 2区 医学 Q1 NEUROSCIENCES Neurobiology of Disease Pub Date : 2025-01-13 DOI:10.1016/j.nbd.2025.106805
Yu Kong, Zhongyun Chen, Jing Zhang, Yihao Wang, Min Chu, Haitian Nan, Yue Cui, Deming Jiang, Liyong Wu
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引用次数: 0

摘要

背景:研究脑代谢网络对于理解克雅氏病(CJD)的发病机制和功能改变至关重要。然而,对症状前个体的研究仍然有限。本研究旨在研究PRNP G114V突变无症状携带者的代谢网络拓扑重构。方法:选取来自家族遗传性CJD (gCJD)队列的7例无症状PRNP G114V突变携带者、43例CJD患者和35例健康对照。所有参与者都进行了神经心理学评估、基因检测和18f -氟脱氧葡萄糖正电子发射断层扫描(18F-FDG PET)/MRI扫描。分析无症状PRNP G114V突变携带者与健康对照、CJD患者与对照组之间基于体素的灰质体积和FDG PET标准化摄取值比(SUVRs)。利用图论和稀疏反协方差估计(SICE)评估全脑代谢连接体和拓扑特性。采用空间独立分量分析(ICA)评价子网络,包括默认模式网络(DMN)、显著网络(SN)和中央执行网络(CEN)。结果:就整体特性而言,无症状携带者的协调性显著增加,这与CJD患者的发现一致。我们发现,与健康对照组相比,无症状感染者的右侧前扣带、左侧腹侧前额叶、左侧海马旁回和左侧舌回中心丢失,前额叶中心重构,包括右侧腹内侧前额叶皮层、右侧前额叶前部皮层和右侧眶额中回,这与CJD患者和对照组的比较有重叠。左侧海马旁回局部参数和代谢连通性的改变最为明显。在子网中,无症状载波在SN中表现出更高的分类性和更低的层次性,而DMN和CEN的全局参数没有显著变化。在无症状PRNP携带者中,DMN和SN表现出部分低连通性和超连通性,而CEN主要表现出显著的连通性增强。结论:本研究揭示了无症状PRNP G114V突变携带者的脑代谢拓扑结构和连接组学改变,可在灰质或区域代谢改变之前检测到,提示代谢拓扑重构可作为研究早期CJD病理变化的敏感成像生物标志物。
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Reconfigured metabolism brain network in asymptomatic Creutzfeldt-Jakob disease.

Background: Investigating brain metabolic networks is crucial for understanding the pathogenesis and functional alterations in Creutzfeldt-Jakob disease (CJD). However, studies on presymptomatic individuals remain limited. This study aimed to examine metabolic network topology reconfiguration in asymptomatic carriers of the PRNP G114V mutation.

Methods: Seven asymptomatic PRNP G114V mutation carriers from a familial genetic CJD (gCJD) cohort, 43 CJD patients, and 35 healthy controls were included. All participants underwent neuropsychological assessments, genetic testing, and 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET)/MRI scans. Voxel-based gray matter volume and FDG PET standardized uptake value ratios (SUVRs) were analyzed between asymptomatic PRNP G114V mutation carriers and healthy controls and between CJD patients and controls. Graph theory and sparse inverse covariance estimation (SICE) were used to assess the whole-brain metabolic connectomes and topological properties. Spatial independent component analysis (ICA) was used to evaluate subnetworks, including the default mode network (DMN), salience network (SN), and central executive network (CEN).

Results: With respect to global properties, assortativity was significantly increased in asymptomatic carriers, which was consistent with the findings in CJD patients. We revealed lost hubs in the right anterior cingulate, left ventral prefrontal lobe, left parahippocampal gyrus, and left lingual gyrus and reconfigured hubs in prefrontal lobes, including right ventromedial prefrontal cortex, right anterior prefrontal cortex, and right middle frontal gyrus of the orbit in asymptomatic carriers compared with healthy controls, which overlapped with the comparisons between CJD patients and controls. Alterations in the local parameters and metabolic connectivity in the left parahippocampal gyrus were most pronounced. Among the subnetworks, asymptomatic carriers presented higher assortativity and lower hierarchy in the SN, whereas the global parameters of the DMN and CEN were not significantly altered. The DMN and SN showed partial hypoconnectivity and hyperconnectivity, whereas the CEN mainly showed significantly enhanced connectivity in asymptomatic PRNP carriers.

Conclusions: This study revealed altered brain metabolic topology and connectomics in asymptomatic PRNP G114V mutation carriers, which could be detected before gray matter or regional metabolic changes, suggesting that metabolism topology reconfiguration may serve as a sensitive imaging biomarker for investigating early CJD pathological changes.

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来源期刊
Neurobiology of Disease
Neurobiology of Disease 医学-神经科学
CiteScore
11.20
自引率
3.30%
发文量
270
审稿时长
76 days
期刊介绍: Neurobiology of Disease is a major international journal at the interface between basic and clinical neuroscience. The journal provides a forum for the publication of top quality research papers on: molecular and cellular definitions of disease mechanisms, the neural systems and underpinning behavioral disorders, the genetics of inherited neurological and psychiatric diseases, nervous system aging, and findings relevant to the development of new therapies.
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