Cerebrospinal fluid proteomics in patients with Alzheimer’s disease reveals five molecular subtypes with distinct genetic risk profiles

Journal Article (2024)
Author(s)

Betty M. Tijms (Amsterdam UMC, Vrije Universiteit Amsterdam)

Ellen M. Vromen (Vrije Universiteit Amsterdam, Amsterdam UMC)

Olav Mjaavatten (University of Bergen and Bjerknes Centre for Climate Research)

Henne Holstege (Vrije Universiteit Amsterdam, Alzheimer Center Amsterdam)

Lianne M. Reus (Amsterdam UMC, Vrije Universiteit Amsterdam, University of California)

Sven J. van der Lee (Alzheimer Center Amsterdam, Vrije Universiteit Amsterdam)

Kirsten E.J. Wesenhagen (Vrije Universiteit Amsterdam, Amsterdam UMC)

Luigi Lorenzini (Amsterdam UMC, Vrije Universiteit Amsterdam)

N. Tesi (Vrije Universiteit Amsterdam, TU Delft - Pattern Recognition and Bioinformatics)

More authors (External organisation)

Research Group
Pattern Recognition and Bioinformatics
Copyright
© 2024 Betty M. Tijms, Ellen M. Vromen, Olav Mjaavatten, Henne Holstege, Lianne M. Reus, Sven van der Lee, Kirsten E.J. Wesenhagen, Luigi Lorenzini, N. Tesi, More Authors
DOI related publication
https://doi.org/10.1038/s43587-023-00550-7
More Info
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Publication Year
2024
Language
English
Copyright
© 2024 Betty M. Tijms, Ellen M. Vromen, Olav Mjaavatten, Henne Holstege, Lianne M. Reus, Sven van der Lee, Kirsten E.J. Wesenhagen, Luigi Lorenzini, N. Tesi, More Authors
Research Group
Pattern Recognition and Bioinformatics
Issue number
1
Volume number
4
Pages (from-to)
33-47
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Abstract

Alzheimer’s disease (AD) is heterogenous at the molecular level. Understanding this heterogeneity is critical for AD drug development. Here we define AD molecular subtypes using mass spectrometry proteomics in cerebrospinal fluid, based on 1,058 proteins, with different levels in individuals with AD (n = 419) compared to controls (n = 187). These AD subtypes had alterations in protein levels that were associated with distinct molecular processes: subtype 1 was characterized by proteins related to neuronal hyperplasticity; subtype 2 by innate immune activation; subtype 3 by RNA dysregulation; subtype 4 by choroid plexus dysfunction; and subtype 5 by blood–brain barrier impairment. Each subtype was related to specific AD genetic risk variants, for example, subtype 1 was enriched with TREM2 R47H. Subtypes also differed in clinical outcomes, survival times and anatomical patterns of brain atrophy. These results indicate molecular heterogeneity in AD and highlight the need for personalized medicine.

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