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. 2024 Feb;20(2):783-797.
doi: 10.1002/alz.13484. Epub 2023 Sep 30.

Spatial proteomics of hippocampal subfield-specific pathology in Alzheimer's disease and primary age-related tauopathy

Affiliations

Spatial proteomics of hippocampal subfield-specific pathology in Alzheimer's disease and primary age-related tauopathy

Jamie M Walker et al. Alzheimers Dement. 2024 Feb.

Abstract

Introduction: Alzheimer's disease (AD) and primary age-related tauopathy (PART) both harbor 3R/4R hyperphosphorylated-tau (p-tau)-positive neurofibrillary tangles (NFTs) but differ in the spatial p-tau development in the hippocampus.

Methods: Using Nanostring GeoMx Digital Spatial Profiling, we compared protein expression within hippocampal subregions in NFT-bearing and non-NFT-bearing neurons in AD (n = 7) and PART (n = 7) subjects.

Results: Proteomic measures of synaptic health were inversely correlated with the subregional p-tau burden in AD and PART, and there were numerous differences in proteins involved in proteostasis, amyloid beta (Aβ) processing, inflammation, microglia, oxidative stress, and neuronal/synaptic health between AD and PART and between definite PART and possible PART.

Discussion: These results suggest subfield-specific proteome differences that may explain some of the differences in Aβ and p-tau distribution and apparent pathogenicity. In addition, hippocampal neurons in possible PART may have more in common with AD than with definite PART, highlighting the importance of Aβ in the pathologic process.

Highlights: Synaptic health is inversely correlated with local p-tau burden. The proteome of NFT- and non-NFT-bearing neurons is influenced by the presence of Aβ in the hippocampus. Neurons in possible PART cases share more proteomic similarities with neurons in ADNC than they do with neurons in definite PART cases.

Keywords: Alzheimer's disease (AD); aging; neurodegeneration; primary age-related tauopathy (PART); resilience; resistance; synapses.

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Conflict of interest statement

Preliminary results of the data presented in this paper were published in abstract form for the 2023 American Association of Neuropathologists and 2023 Alzheimer's Association International Conference. The authors declare that they have no competing interests, conflicts of interest, or other relevant disclosures. Author disclosures are available in the supporting information.

Figures

FIGURE 1
FIGURE 1
Representative paired p‐tau (AT8) immunohistochemical stains and immunofluorescent stains demonstrating p‐tau and Aβ pathology in entorhinal cortex, CA1 subregion, and CA2 subregion in a case of Alzheimer's disease (case 1) and primary age‐related tauopathy (case 8). Scale bars in all panels = 200 μm.
FIGURE 2
FIGURE 2
Correlation of presynaptic and postsynaptic proteins with local (subregional) p‐tau burden in all hippocampal subregions. There is a significant inverse relationship between the local p‐tau burden and synaptophysin in both NFT‐bearing neurons and non‐NFT‐bearing neurons (“normal neurons”) and the immediate microenvironments surrounding these neurons (A). This relationship is significant in ADNC cases but not in PART cases (B). Similarly, there is a significant inverse relationship between the local p‐tau burden and neurogranin in both NFT‐bearing neurons and normal neurons and the immediate microenvironments surrounding these neurons (C). This relationship is significant in ADNC cases but only reaches the trend level in PART cases (D).
FIGURE 3
FIGURE 3
Significant differences in protein levels in NFT‐bearing neurons (and their immediate microenvironments) between ADNC and PART in each hippocampal subregion evaluated. * p < 0.05; ** p < 0.01; *** p < 0.001.
FIGURE 4
FIGURE 4
Significant differences in protein levels in NFT‐bearing neurons (and their immediate microenvironments) between ADNC, definite PART, and possible PART in each hippocampal subregion evaluated. * p < 0.05; ** p < 0.01; *** p < 0.001.
FIGURE 5
FIGURE 5
Significant differences in protein levels in non‐NFT‐bearing neurons (and their immediate microenvironments) between ADNC and PART in each hippocampal subregion evaluated. * p < 0.05; ** p < 0.01; *** p < 0.001.
FIGURE 6
FIGURE 6
Significant differences in protein levels in non‐NFT‐bearing neurons (and their immediate microenvironments) between ADNC, definite PART, and possible PART in each hippocampal subregion evaluated. * p < 0.05; ** p < 0.01; *** p < 0.001.
FIGURE 7
FIGURE 7
Correlation of protein levels with Thal phase in both NFT‐bearing neurons and non‐NFT‐bearing neurons (“normal neurons”) and the immediate microenvironments surrounding these neurons.

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