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在关岛帕金森病-痴呆症患者的海马体中,锥体神经元的损失与神经原纤维缠结的增加相匹配。

Pyramidal neuron loss is matched by ghost tangle increase in Guam parkinsonism-dementia hippocampus.

作者信息

Schwab C, Steele J C, McGeer P L

机构信息

Kinsmen Laboratory of Neurological Research and the Neurodegenerative Disorders Center, University of British Columbia, Vancouver, Canada.

出版信息

Acta Neuropathol. 1998 Oct;96(4):409-16. doi: 10.1007/s004010050912.

Abstract

The parkinsonism dementia complex of Guam (bodig disease) is characterized by severe neurofibrillary tangle (NFT) development without the senile plaques which characterize Alzheimer's disease. Here we analyze eight cases of bodig and three control cases from Guam, for the numbers of unaffected pyramidal neurons, intracellular NFTs (iNFTs), and extracellular NFTs (eNFTs) in hippocampal sectors CA1 and CA4. We utilized Alz50 immunostaining to identify iNFTs, amyloid P immunostaining to identify eNFTs, and cresyl violet staining to identify the surviving pyramidal neurons. We developed a modification of the Bielschowsky silver staining method which distinguished iNFTs from eNFTs and found the numbers of iNFTs and eNFTs identified by this method to be comparable to those obtained by immunohistochemical staining. In CA4, the combined total of unaffected pyramidal neurons, iNFTs and eNFTs was found to be remarkably constant in all the cases studied. The density of eNFTs correlated significantly and negatively with the density of surviving neurons, which included unaffected neurons and iNFTs. CA1 was more intensely affected than CA4. The combined total of unaffected pyramidal neurons, iNFTs and eNFTs was still relatively constant, although greater variability was recorded. Our results suggest that loss of pyramidal neurons is proportional to the appearance of eNFTs. The eNFTs accumulate, without evidence of disappearance through phagocytosis.

摘要

关岛帕金森痴呆综合征(博迪格病)的特征是严重的神经原纤维缠结(NFT)形成,却没有阿尔茨海默病所特有的老年斑。在此,我们分析了8例来自关岛的博迪格病患者及3例对照患者,观察海马CA1区和CA4区中未受影响的锥体神经元、细胞内NFT(iNFT)和细胞外NFT(eNFT)的数量。我们利用Alz50免疫染色来识别iNFT,用淀粉样蛋白P免疫染色来识别eNFT,并用甲酚紫染色来识别存活的锥体神经元。我们对 Bielschowsky 银染色法进行了改进,以区分iNFT和eNFT,并发现用该方法识别的iNFT和eNFT数量与免疫组化染色得到的数量相当。在CA4区,在所研究的所有病例中,未受影响的锥体神经元、iNFT和eNFT的总数明显恒定。eNFT的密度与存活神经元(包括未受影响的神经元和iNFT)的密度显著负相关。CA1区比CA4区受影响更严重。未受影响的锥体神经元、iNFT和eNFT的总数仍然相对恒定,尽管记录到的变异性更大。我们的结果表明,锥体神经元的丧失与eNFT的出现成正比。eNFT会积累,没有通过吞噬作用消失的迹象。

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