TY - JOUR
T1 - Comparison of the amyloid plaque proteome in Down syndrome, early-onset Alzheimer’s disease, and late-onset Alzheimer’s disease
AU - Martá-Ariza, Mitchell
AU - Leitner, Dominique F.
AU - Kanshin, Evgeny
AU - Suazo, Jianina
AU - Giusti Pedrosa, Ana
AU - Thierry, Manon
AU - Lee, Edward B.
AU - Devinsky, Orrin
AU - Drummond, Eleanor
AU - Fortea, Juan
AU - Lleó, Alberto
AU - Ueberheide, Beatrix
AU - Wisniewski, Thomas
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/6
Y1 - 2025/6
N2 - Down syndrome (DS) is strongly associated with Alzheimer’s disease (AD) due to APP overexpression, exhibiting Amyloid-β (Aβ) and Tau pathology similar to early-onset (EOAD) and late-onset AD (LOAD). We evaluated the Aβ plaque proteome of DS, EOAD, and LOAD using unbiased localized proteomics on post-mortem paraffin-embedded tissues from 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 identified differentially abundant proteins when comparing Aβ plaques and neighboring non-plaque tissue (FDR < 5%, fold-change > 1.5) in DS (n = 132), EOAD (n = 192), and LOAD (n = 128), with 43 plaque-associated proteins shared across all groups. Positive correlations were observed between plaque-associated proteins in DS and EOAD (R2 =.77), DS and LOAD (R2 =.73), and EOAD and LOAD (R2 =.67). Top gene ontology biological processes (GOBP) included lysosomal transport (p = 1.29 × 10−5) for DS, immune system regulation (p = 4.33 × 10−5) for EOAD, and lysosome organization (p = 0.029) for LOAD. Protein networks revealed a plaque-associated protein signature involving APP metabolism, immune response, and lysosomal functions. In DS, EOAD, and LOAD non-plaque vs. control tissue, we identified 263, 269, and 301 differentially abundant proteins, with 65 altered proteins shared across all cohorts. Non-plaque proteins in DS showed modest correlations with EOAD (R2 =.59) and LOAD (R2 =.33) compared to the correlation between EOAD and LOAD (R2 =.79). Top GOBP term for all groups was chromatin remodeling (p < 0.001), with additional terms for DS including extracellular matrix, and protein–DNA complexes and gene expression regulation for EOAD and LOAD. Our study reveals key functional characteristics of the amyloid plaque proteome in DS, compared to EOAD and LOAD, highlighting shared pathways in endo/lysosomal functions and immune responses. The non-plaque proteome revealed distinct alterations in ECM and chromatin structure, underscoring unique differences between DS and AD subtypes. Our findings enhance our understanding of AD pathogenesis and identify potential biomarkers and therapeutic targets.
AB - Down syndrome (DS) is strongly associated with Alzheimer’s disease (AD) due to APP overexpression, exhibiting Amyloid-β (Aβ) and Tau pathology similar to early-onset (EOAD) and late-onset AD (LOAD). We evaluated the Aβ plaque proteome of DS, EOAD, and LOAD using unbiased localized proteomics on post-mortem paraffin-embedded tissues from 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 identified differentially abundant proteins when comparing Aβ plaques and neighboring non-plaque tissue (FDR < 5%, fold-change > 1.5) in DS (n = 132), EOAD (n = 192), and LOAD (n = 128), with 43 plaque-associated proteins shared across all groups. Positive correlations were observed between plaque-associated proteins in DS and EOAD (R2 =.77), DS and LOAD (R2 =.73), and EOAD and LOAD (R2 =.67). Top gene ontology biological processes (GOBP) included lysosomal transport (p = 1.29 × 10−5) for DS, immune system regulation (p = 4.33 × 10−5) for EOAD, and lysosome organization (p = 0.029) for LOAD. Protein networks revealed a plaque-associated protein signature involving APP metabolism, immune response, and lysosomal functions. In DS, EOAD, and LOAD non-plaque vs. control tissue, we identified 263, 269, and 301 differentially abundant proteins, with 65 altered proteins shared across all cohorts. Non-plaque proteins in DS showed modest correlations with EOAD (R2 =.59) and LOAD (R2 =.33) compared to the correlation between EOAD and LOAD (R2 =.79). Top GOBP term for all groups was chromatin remodeling (p < 0.001), with additional terms for DS including extracellular matrix, and protein–DNA complexes and gene expression regulation for EOAD and LOAD. Our study reveals key functional characteristics of the amyloid plaque proteome in DS, compared to EOAD and LOAD, highlighting shared pathways in endo/lysosomal functions and immune responses. The non-plaque proteome revealed distinct alterations in ECM and chromatin structure, underscoring unique differences between DS and AD subtypes. Our findings enhance our understanding of AD pathogenesis and identify potential biomarkers and therapeutic targets.
KW - Alzheimer’s disease
KW - Amyloid-β
KW - Down syndrome
KW - Neuropathology
KW - Proteomics
UR - http://www.scopus.com/inward/record.url?scp=85216197698&partnerID=8YFLogxK
U2 - 10.1007/s00401-025-02844-z
DO - 10.1007/s00401-025-02844-z
M3 - Article
C2 - 39825890
AN - SCOPUS:85216197698
SN - 0001-6322
VL - 149
JO - Acta Neuropathologica
JF - Acta Neuropathologica
IS - 1
M1 - 9
ER -