PreprintCited by 2Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsFunctional Brain Connectivity Studies

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Integrative analyses of neuroimaging, clinical, and multi-omics data identified meaningful Alzheimer’s disease progression subtypes

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Abstract

Alzheimer’s Disease (AD) is a common neurodegenerative disorder with diverse clinical manifestations. To better understand differences between diverse manifestations, we investigate from the difference in MRI ROI volumes among subtypes to their related different gene pathways. In this study, we identify three subtypes of AD development with fast, moderate, and slow progression rates from the MRI ROI volume biomarkers in the ADNI cohort. We further find differentially expressed proteins in CSF fluids among these AD patients and related significantly different genetic pathways. A total of 159 patients’ data are included for analysis. We identify three distinct subtypes from the hierarchical clustering on MRI ROI volume biomarkers. Subtype 1, characterized as fast progression, consists of 34 patients (21.9%). Subtype 2, as moderate progression, comprises 77 patients (49.6%). Subtype 3, as slow progression, consists of 44 patients (28.3%). These subtypes show significantly differences in cognitive test scores and corresponding genetic pathways.

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Crossref · 10.1101/2022.11.01.22281820

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Authors
An, Q., Zhang, M., Hu, X., Su, C., Wang, F., & Zhu, Y.
Affiliations
  • The University of Texas at Arlington (US)
  • Temple University (US)
  • Weill Cornell Medicine (US)
Corresponding author
Zhu, Yingying
Venue
medRxiv
Publisher
openRxiv
Published
2022-11-02
OpenAlex
W4308144228
Cited by
2
References
0
Citations by year
2025: 1 · 2024: 1
Type
posted content
Language
en
Open access
Locations
medRxiv (acceptedVersion)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Keywords
Alzheimer's disease, cerebrospinal fluid proteomics, differentially expressed proteins, gene pathways, cognitive decline, disease heterogeneity, ADNI cohort

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