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神经元模式与人类免疫缺陷病毒相关痴呆综合征的严重程度相关。空间模式分析在临床病理研究中的实用性。

Neuronal pattern correlates with the severity of human immunodeficiency virus-associated dementia complex. Usefulness of spatial pattern analysis in clinicopathological studies.

作者信息

Asare E, Dunn G, Glass J, McArthur J, Luthert P, Lantos P, Everall I

机构信息

Department of Neuropathology, Institute of Psychiatry, De Crespigny Park, London, United Kingdom.

出版信息

Am J Pathol. 1996 Jan;148(1):31-8.

PMID:8546220
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1861608/
Abstract

The spatial distributional pattern of neurons, in the superior frontal gyrus of 32 subjects who died of acquired immune deficiency syndrome, was examined. The patients were classified as nondemented, mildly demented, and severely demented, and some were treated with the anti-retroviral drug zidovudine. Spatial statistical techniques were employed to investigate the degree of clustering in the individual cases and various groups. We found that the cluster pattern of large and small neurons differed significantly with increasing severity of dementia but was not influenced by the duration of zidovudine treatment. We conclude that this is a sensitive technique for clinicopathological correlations and that the differences may result from loss of specific neuronal populations, which could determine the degree of dementia.

摘要

对32名死于获得性免疫缺陷综合征患者的额上回神经元的空间分布模式进行了研究。这些患者被分为非痴呆、轻度痴呆和重度痴呆,部分患者接受了抗逆转录病毒药物齐多夫定治疗。采用空间统计技术研究个体病例和不同组别的聚集程度。我们发现,随着痴呆严重程度的增加,大、小神经元的聚集模式存在显著差异,但不受齐多夫定治疗持续时间的影响。我们得出结论,这是一种用于临床病理相关性研究的敏感技术,这些差异可能是由于特定神经元群体的丧失所致,而这可能决定痴呆的程度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2789/1861608/79b4bb0ef36a/amjpathol00037-0040-a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2789/1861608/79b4bb0ef36a/amjpathol00037-0040-a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2789/1861608/79b4bb0ef36a/amjpathol00037-0040-a.jpg

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Assessment of neuronal density in the putamen in human immunodeficiency virus (HIV) infection. Application of stereology and spatial analysis of quadrats.人类免疫缺陷病毒(HIV)感染中壳核神经元密度的评估。体视学和样方空间分析的应用。
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神经元及其位置的自动识别。
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