Comparison of the Amyloid Plaque Proteome in Down Syndrome, Early-Onset Alzheimer's Disease and Late-Onset Alzheimer's Disease.

Alzheimer’s disease Amyloid-β Down syndrome Neuropathology Proteomics

Journal

Research square
ISSN: 2693-5015
Titre abrégé: Res Sq
Pays: United States
ID NLM: 101768035

Informations de publication

Date de publication:
15 Jul 2024
Historique:
pubmed: 29 7 2024
medline: 29 7 2024
entrez: 29 7 2024
Statut: epublish

Résumé

Down syndrome (DS) is strongly associated with Alzheimer's disease (AD), attributable to Using unbiased localized proteomics, we analyzed amyloid plaques and adjacent plaque-devoid tissue ('non-plaque') from post-mortem paraffin-embedded tissues in four cohorts (n = 20/group): DS (59.8 ± 4.99 y/o), EOAD (63 ± 4.07 y/o), LOAD (82.1 ± 6.37 y/o) and controls (66.4 ± 13.04). We assessed functional associations using Gene Ontology (GO) enrichment and protein interaction networks. We identified differentially abundant Aβ plaque proteins vs. non-plaques (FDR < 5%, fold-change > 1.5) in DS (n = 132), EOAD (n = 192) and in LOAD (n = 128); there were 43 plaque-associated proteins shared between all groups. Positive correlations ( We found strong similarities among the Aβ plaque proteomes in individuals with DS, EOAD and LOAD, and a robust association between the plaque proteomes and lysosomal and immune-related pathways. Further, non-plaque proteomes highlighted altered pathways related to chromatin structure and extracellular matrix (ECM), the latter particularly associated with DS. We identified novel Aβ plaque proteins, which may serve as biomarkers or therapeutic targets.

Sections du résumé

Background UNASSIGNED
Down syndrome (DS) is strongly associated with Alzheimer's disease (AD), attributable to
Methods UNASSIGNED
Using unbiased localized proteomics, we analyzed amyloid plaques and adjacent plaque-devoid tissue ('non-plaque') from post-mortem paraffin-embedded tissues in four cohorts (n = 20/group): DS (59.8 ± 4.99 y/o), EOAD (63 ± 4.07 y/o), LOAD (82.1 ± 6.37 y/o) and controls (66.4 ± 13.04). We assessed functional associations using Gene Ontology (GO) enrichment and protein interaction networks.
Results UNASSIGNED
We identified differentially abundant Aβ plaque proteins vs. non-plaques (FDR < 5%, fold-change > 1.5) in DS (n = 132), EOAD (n = 192) and in LOAD (n = 128); there were 43 plaque-associated proteins shared between all groups. Positive correlations (
Conclusions UNASSIGNED
We found strong similarities among the Aβ plaque proteomes in individuals with DS, EOAD and LOAD, and a robust association between the plaque proteomes and lysosomal and immune-related pathways. Further, non-plaque proteomes highlighted altered pathways related to chromatin structure and extracellular matrix (ECM), the latter particularly associated with DS. We identified novel Aβ plaque proteins, which may serve as biomarkers or therapeutic targets.

Identifiants

pubmed: 39070643
doi: 10.21203/rs.3.rs-4469045/v1
pmc: PMC11275979
pii:
doi:

Types de publication

Journal Article Preprint

Langues

eng

Subventions

Organisme : NIA NIH HHS
ID : P01 AG060882
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG066512
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG072979
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA016087
Pays : United States

Déclaration de conflit d'intérêts

Competing interests OD have equity in Regel Therapeutics and Tevard Biosciences. The other authors declare no competing interests.

Auteurs

Mitchell Martá-Ariza (M)

New York University Grossman School of Medicine.

Dominique F Leitner (DF)

New York University Grossman School of Medicine.

Evgeny Kanshin (E)

New York University Grossman School of Medicine.

Jianina Suazo (J)

New York University Grossman School of Medicine.

Ana Giusti Pedrosa (AG)

New York University.

Manon Thierry (M)

New York University Grossman School of Medicine.

Edward B Lee (EB)

University of Pennsylvania Perelman School of Medicine.

Orrin Devinsky (O)

New York University Grossman School of Medicine.

Eleanor Drummond (E)

The University of Sydney.

Juan Fortea (J)

Universitat Autònoma de Barcelona: Universitat Autonoma de Barcelona.

Alberto Lleó (A)

Universitat Autònoma de Barcelona: Universitat Autonoma de Barcelona.

Beatrix Ueberheide (B)

New York University Grossman School of Medicine.

Thomas Wisniewski (T)

New York University School of Medicine.

Classifications MeSH