Suppr超能文献

神经退行性变:2024年更新

Neurodegeneration: 2024 update.

作者信息

Crary John F

机构信息

Department of Pathology, Nash Family Department of Neuroscience, Department of Artificial Intelligence & Human Health, Neuropathology Brain Bank & Research CoRE, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

出版信息

Free Neuropathol. 2024 Dec 9;5:31. doi: 10.17879/freeneuropathology-2024-5848. eCollection 2024 Jan.

Abstract

This review highlights a collection of both diverse and highly impactful studies published in the previous year selected by the author from the neurodegenerative neuropathology literature. As with previous reviews in this series, the focus is, to the best of my ability, to highlight human tissue-based experimentation most relevant to experimental and clinical neuropathologists. A concerted effort was made to balance the selected studies across neurodegenerative disease categories, approaches, and methodologies to capture the breadth of the research landscape. These studies employ a range of classical and state-of-the-art methodologies ranging from clinical pathoanatomical correlative studies to single-cell RNA sequencing, artificial intelligence, and patient-derived human induced pluripotent stem cell models. Key studies include demonstration of the earliest pathological changes in young patients with repetitive head impacts (RHI), elucidation of the longitudinal trajectory of extrapyramidal symptoms in Lewy body disease subtypes, mapping of cell-type specific polygenic risk in Alzheimer's disease to neuropathology, a novel measure of histological brain age acceleration using artificial intelligence, trends in cerebrovascular pathologies over 25 years, associations between RHI and TDP-43 / hippocampal sclerosis, microglia / T-cell interaction in neurodegeneration, the impact of viral exposures on neurodegenerative disease risk, and polyglutamine repeat expansion disorders. This sampling of the literature collectively displays the breadth of the progress being made in the neuropathology of neurodegenerative diseases.

摘要

本综述重点介绍了作者从上一年度神经退行性神经病理学文献中挑选出的一系列多样且极具影响力的研究。与本系列以往的综述一样,我尽最大努力聚焦于与实验和临床神经病理学家最相关的基于人体组织的实验。我们齐心协力在神经退行性疾病类别、方法和技术手段之间平衡所选研究,以涵盖研究领域的广度。这些研究采用了一系列经典和前沿的方法,从临床病理解剖相关性研究到单细胞RNA测序、人工智能以及患者来源的人类诱导多能干细胞模型。关键研究包括:证明重复性头部撞击(RHI)年轻患者的最早病理变化;阐明路易体病亚型锥体外系症状的纵向发展轨迹;将阿尔茨海默病中细胞类型特异性多基因风险映射到神经病理学;利用人工智能对组织学脑龄加速进行的一种新测量;25年来脑血管病理学的趋势;RHI与TDP-43/海马硬化之间的关联;神经退行性变中微胶质细胞/T细胞相互作用;病毒暴露对神经退行性疾病风险的影响;以及多聚谷氨酰胺重复扩增疾病。对这些文献的抽样共同展示了神经退行性疾病神经病理学所取得进展的广度。

相似文献

1
Neurodegeneration: 2024 update.神经退行性变:2024年更新
Free Neuropathol. 2024 Dec 9;5:31. doi: 10.17879/freeneuropathology-2024-5848. eCollection 2024 Jan.
2
Neurodegeneration: 2023 update.神经退行性变:2023年更新
Free Neuropathol. 2023 Sep 4;4:13. doi: 10.17879/freeneuropathology-2023-4899. eCollection 2023 Jan.
3
Neurodegeneration: 2022 update.神经退行性变:2022年更新
Free Neuropathol. 2022 May 10;3:13. doi: 10.17879/freeneuropathology-2022-3866. eCollection 2022 Jan.
7
Top ten discoveries of the year: Neurodegeneration.年度十大发现:神经退行性变。
Free Neuropathol. 2020 Apr 8;1:12. doi: 10.17879/freeneuropathology-2020-2634. eCollection 2020 Jan.

本文引用的文献

2
Histopathologic brain age estimation via multiple instance learning.基于多实例学习的脑病理年龄估计。
Acta Neuropathol. 2023 Dec;146(6):785-802. doi: 10.1007/s00401-023-02636-3. Epub 2023 Oct 10.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验