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亨廷顿病小鼠模型中静息态网络异常的全脑时空动力学演变。

Evolution of aberrant brain-wide spatiotemporal dynamics of resting-state networks in a Huntington's disease mouse model.

机构信息

Bio-Imaging Lab, University of Antwerp, Wilrijk, Antwerp, Belgium.

µNEURO Research Centre of Excellence, University of Antwerp, Antwerp, Belgium.

出版信息

Clin Transl Med. 2024 Oct;14(10):e70055. doi: 10.1002/ctm2.70055.

Abstract

BACKGROUND

Huntington's disease (HD) is marked by irreversible loss of neuronal function for which currently no availability for disease-modifying treatment exists. Advances in the understanding of disease progression can aid biomarker development, which in turn can accelerate therapeutic discovery.

METHODS

We characterised the progression of altered dynamics of whole-brain network states in the zQ175DN mouse model of HD using a dynamic functional connectivity (FC) approach to resting-state fMRI and identified quasi-periodic patterns (QPPs) of brain activity constituting the most prominent resting-state networks.

RESULTS

The occurrence of the normative QPPs, as observed in healthy controls, was reduced in the HD model as the phenotype progressed. This uncovered progressive cessation of synchronous brain activity with phenotypic progression, which is not observed with the conventional static FC approaches. To better understand the potential underlying cause of the observed changes in these brain states, we further assessed how mutant huntingtin (mHTT) protein deposition affects astrocytes and pericytes - one of the most important effectors of neurovascular coupling, along phenotypic progression. Increased cell-type dependent mHTT deposition was observed at the age of onset of motor anomalies, in the caudate putamen, somatosensory and motor cortex, regions that are prominently involved in HD pathology as seen in humans.

CONCLUSION

Our findings provide meaningful insights into the development and progression of altered functional brain dynamics in this HD model and open new avenues in assessing the dynamics of whole brain states, through QPPs, in clinical HD research.

HIGHLIGHTS

Hyperactivity in the LCN-linked regions within short QPPs observed before motor impairment onset. DMLN QPP presents a progressive decrease in DMLN activity and occurrence along HD-like phenotype development. Breakdown of the LCN DMLN state flux at motor onset leads to a subsequent absence of the LCN DMLN QPP at an advanced HD-like stage.

摘要

背景

亨廷顿病(HD)的特征是神经元功能不可逆转的丧失,目前尚无针对这种疾病的治疗方法。对疾病进展的认识的进步可以帮助生物标志物的开发,进而加速治疗的发现。

方法

我们使用动态功能连接(FC)方法对 zQ175DN 小鼠 HD 模型的全脑网络状态的变化进行了描述,确定了构成静息状态网络的准周期模式(QPP)。

结果

随着表型的进展,在 HD 模型中,与健康对照组相比,正常 QPP 的发生减少。这揭示了随着表型的进展,大脑活动同步性的进行性停止,这在传统的静态 FC 方法中是观察不到的。为了更好地理解观察到的这些脑状态变化的潜在原因,我们进一步评估了突变亨廷顿蛋白(mHTT)的沉积如何影响星形胶质细胞和周细胞——这是神经血管耦合的最重要效应器之一,与表型进展有关。在运动异常的发病年龄,纹状体、体感和运动皮层中观察到细胞类型依赖性 mHTT 沉积增加,这些区域在人类 HD 病理中显著受累。

结论

我们的研究结果为该 HD 模型中功能脑动力学改变的发展和进展提供了有意义的见解,并为在临床 HD 研究中通过 QPP 评估全脑状态的动力学提供了新的途径。

要点

在运动障碍发作前观察到 LCN 相关区域的 QPP 短活动增加。DMLN QPP 沿着类似 HD 的表型发展,其 DMLN 活性和发生呈逐渐减少趋势。运动发作时 LCN DMLN 状态通量的破坏导致在更高级的类似 HD 阶段随后缺乏 LCN DMLN QPP。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/530b/11488302/52dc560532e5/CTM2-14-e70055-g001.jpg

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