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简单明了地区分脊髓小脑变性:宏观和低倍镜检查结果概述。

Simple and clear differentiation of spinocerebellar degenerations: Overview of macroscopic and low-power view findings.

机构信息

Mirai Home Medical Clinic, Yokohama, Japan.

Department of Neurology, Yokohama Minami Kyosai Hospital, Yokohama, Japan.

出版信息

Neuropathology. 2022 Oct;42(5):379-393. doi: 10.1111/neup.12823. Epub 2022 Jul 20.

DOI:10.1111/neup.12823
PMID:35859519
Abstract

Spinocerebellar degenerations (SCDs) are a diverse group of rare and slowly progressive neurological diseases that include spinocerebellar ataxia type 1 (SCA1), SCA2, SCA3, SCA6, SCA7, dentatorubral-pallidoluysian atrophy (DRPLA) and multiple system atrophy (MSA). They are often inherited, and affect the cerebellum and related pathways. The combination of clinical findings and lesion distribution has been the gold-standard for classifying SCDs. This conventional approach has not been very successful in providing a solid framework shared among researchers because their points of views have been quite variable. After identification of genetic abnormalities, classification was overwhelmed by genotyping, replacing the conventional approach far behind. In this review, we describe a stepwise operational approach that we constructed based only on macroscopic findings without microscopy to classify SCDs into three major groups: pure cerebellar type for SCA6 and SCA31; olivopontocerebellar (OPC) type for SCA1, SCA2, SCA7 and MSA; and dentatorubral-pallidoluysian (DRPL) type for SCA1, SCA3, DRPLA and progressive supranuclear palsy (PSP). Spinocerebellar tract involvement distinguishes SCA1 and SCA3 from DRPLA. Degeneration of the internal segment of the pallidum is accentuated in SCA3 and PSP, while degeneration of the external segment is accentuated in SCA1 and DRPLA. These contrasts are helpful in subdividing OPC and DRPL types to predict their genotypes. Lesion distribution represents disease-specific selective vulnerability, which is readily differentiated macroscopically using our stepwise operational approach. Precise prediction of the major genotypes will provide a basis to understand how genetic abnormalities lead to corresponding phenotypes through disease-specific selective vulnerabilities.

摘要

脊髓小脑变性症(SCDs)是一组多样的罕见和缓慢进展的神经退行性疾病,包括脊髓小脑性共济失调 1 型(SCA1)、SCA2、SCA3、SCA6、SCA7、齿状核红核苍白球路易体萎缩症(DRPLA)和多系统萎缩症(MSA)。它们通常是遗传性的,影响小脑和相关通路。临床发现和病变分布的组合一直是 SCD 分类的金标准。这种传统方法在为研究人员提供一个共享的坚实框架方面并不是很成功,因为他们的观点非常多样化。在确定遗传异常后,分类被基因分型所取代,远远落后于传统方法。在这篇综述中,我们描述了一种仅基于宏观发现而不依赖显微镜的逐步操作方法,将 SCD 分为三大类:SCA6 和 SCA31 为纯小脑型;SCA1、SCA2、SCA7 和 MSA 为橄榄脑桥小脑型;SCA1、SCA3、DRPLA 和进行性核上性麻痹(PSP)为齿状核红核苍白球路易体萎缩型。脊髓小脑束受累将 SCA1 和 SCA3 与 DRPLA 区分开来。苍白球内节的变性在 SCA3 和 PSP 中更为突出,而外节的变性在 SCA1 和 DRPLA 中更为突出。这些对比有助于将 OPC 和 DRPL 类型细分,以预测其基因型。病变分布代表疾病特异性选择性易损性,使用我们的逐步操作方法可以很容易地从宏观上进行区分。对主要基因型的精确预测将为理解遗传异常如何通过疾病特异性选择性易损性导致相应表型提供基础。

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Altered cerebral blood flow in patients with spinocerebellar degeneration.
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Front Neurosci. 2022 Sep 13;16:977145. doi: 10.3389/fnins.2022.977145. eCollection 2022.