Dataset Information

Proteomic analysis of postsynaptic density in Alzheimer's disease.

ABSTRACT: The loss of synaptic function is a pivotal mechanism in the development of Alzheimer's Disease (AD). Structural changes and loss of plasticity in the postsynaptic density (PSD) may contribute to the pathogenesis. However, the underlying molecular events triggering synaptic dysfunction remain elusive. We report a quantitative proteomic analysis of the PSD from human postmortem brain tissues of possible and definite AD cases.The analysis used both discovery and targeted mass spectrometry approaches and was repeated with biological replicates. During the discovery study, we compared several hundred proteins in the PSD-enriched fractions and found that 25 proteins were differentially regulated in AD.Interestingly, the majority of these protein changes were larger in definite AD cases than in possible AD cases. In the targeted analysis, we measured the level of 9 core PSD proteins and found that only IRSp53 was highly down-regulated in AD. The alteration of selected proteins (i.e. internexin and IRSp53) was further validated by immunoblotting against 7 control and 8 AD cases.These results expand our understanding of how AD impacts PSD composition, and hints at new hypotheses for AD pathogenesis.

SUBMITTER: Zhou J

PROVIDER: S-EPMC3714371 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature

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Proteomic analysis of postsynaptic density in Alzheimer's disease.

Zhou Jianying J Jones Drew R DR Duong Duc M DM Levey Allan I AI Lah James J JJ Peng Junmin J

Clinica chimica acta; international journal of clinical chemistry 20130326

<h4>Background</h4>The loss of synaptic function is a pivotal mechanism in the development of Alzheimer's Disease (AD). Structural changes and loss of plasticity in the postsynaptic density (PSD) may contribute to the pathogenesis. However, the underlying molecular events triggering synaptic dysfunction remain elusive. We report a quantitative proteomic analysis of the PSD from human postmortem brain tissues of possible and definite AD cases.<h4>Methods</h4>The analysis used both discovery and t ...[more]

PMID: 23537733

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Project description:Synaptic loss is a primary pathology in Alzheimer's disease and correlates best with cognitive impairment as found in post-mortem studies. Previously, we observed in vivo reductions of synaptic density with [11C]UCB-J PET (radiotracer for synaptic vesicle protein 2A) throughout the neocortex and medial temporal brain regions in early Alzheimer's disease. In this study, we applied independent component analysis to synaptic vesicle protein 2A-PET data to identify brain networks associated with cognitive deficits in Alzheimer's disease in a blinded data-driven manner. [11C]UCB-J binding to synaptic vesicle protein 2A was measured in 38 Alzheimer's disease (24 mild Alzheimer's disease dementia and 14 mild cognitive impairment) and 19 cognitively normal participants. [11C]UCB-J distribution volume ratio values were calculated with a whole cerebellum reference region. Principal components analysis was first used to extract 18 independent components to which independent component analysis was then applied. Subject loading weights per pattern were compared between groups using Kruskal-Wallis tests. Spearman's rank correlations were used to assess relationships between loading weights and measures of cognitive and functional performance: Logical Memory II, Rey Auditory Verbal Learning Test-long delay, Clinical Dementia Rating sum of boxes and Mini-Mental State Examination. We observed significant differences in loading weights among cognitively normal, mild cognitive impairment and mild Alzheimer's disease dementia groups in 5 of the 18 independent components, as determined by Kruskal-Wallis tests. Only Patterns 1 and 2 demonstrated significant differences in group loading weights after correction for multiple comparisons. Excluding the cognitively normal group, we observed significant correlations between the loading weights for Pattern 1 (left temporal cortex and the cingulate gyrus) and Clinical Dementia Rating sum of boxes (r = -0.54, P = 0.0019), Mini-Mental State Examination (r = 0.48, P = 0.0055) and Logical Memory II score (r = 0.44, P = 0.013). For Pattern 2 (temporal cortices), significant associations were demonstrated between its loading weights and Logical Memory II score (r = 0.34, P = 0.0384). Following false discovery rate correction, only the relationship between the Pattern 1 loading weights with Clinical Dementia Rating sum of boxes (r = -0.54, P = 0.0019) and Mini-Mental State Examination (r = 0.48, P = 0.0055) remained statistically significant. We demonstrated that independent component analysis could define coherent spatial patterns of synaptic density. Furthermore, commonly used measures of cognitive performance correlated significantly with loading weights for two patterns within only the mild cognitive impairment/mild Alzheimer's disease dementia group. This study leverages data-centric approaches to augment the conventional region-of-interest-based methods, revealing distinct patterns that differentiate between mild cognitive impairment and mild Alzheimer's disease dementia, marking a significant advancement in the field.

Dataset Information

Proteomic analysis of postsynaptic density in Alzheimer's disease.

Publications

Proteomic analysis of postsynaptic density in Alzheimer's disease.

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