Biomarker clustering in autosomal dominant Alzheimer's disease.
Autosomal dominant Alzheimer's disease
biomarkers
machine learning
Journal
Alzheimer's & dementia : the journal of the Alzheimer's Association
ISSN: 1552-5279
Titre abrégé: Alzheimers Dement
Pays: United States
ID NLM: 101231978
Informations de publication
Date de publication:
01 2023
01 2023
Historique:
revised:
20
02
2022
received:
02
11
2021
accepted:
22
02
2022
pmc-release:
01
01
2024
pubmed:
2
4
2022
medline:
18
1
2023
entrez:
1
4
2022
Statut:
ppublish
Résumé
As the number of biomarkers used to study Alzheimer's disease (AD) continues to increase, it is important to understand the utility of any given biomarker, as well as what additional information a biomarker provides when compared to others. We used hierarchical clustering to group 19 cross-sectional biomarkers in autosomal dominant AD. Feature selection identified biomarkers that were the strongest predictors of mutation status and estimated years from symptom onset (EYO). Biomarkers identified included clinical assessments, neuroimaging, cerebrospinal fluid amyloid, and tau, and emerging biomarkers of neuronal integrity and inflammation. Three primary clusters were identified: neurodegeneration, amyloid/tau, and emerging biomarkers. Feature selection identified amyloid and tau measures as the primary predictors of mutation status and EYO. Emerging biomarkers of neuronal integrity and inflammation were relatively weak predictors. These results provide novel insight into our understanding of the relationships among biomarkers and the staging of biomarkers based on disease progression.
Identifiants
pubmed: 35362200
doi: 10.1002/alz.12661
pmc: PMC9525451
mid: NIHMS1803733
doi:
Substances chimiques
Amyloid beta-Peptides
0
Amyloidogenic Proteins
0
Biomarkers
0
tau Proteins
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
274-284Subventions
Organisme : NIA NIH HHS
ID : P30 AG066444
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG032438
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005131
Pays : United States
Organisme : NIA NIH HHS
ID : U24 AG057437
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG058676
Pays : United States
Organisme : NIA NIH HHS
ID : K01 AG053474
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG046179
Pays : United States
Organisme : NIA NIH HHS
ID : U19 AG024904
Pays : United States
Organisme : NIA NIH HHS
ID : UF1 AG032438
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000448
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG053798
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG019610
Pays : United States
Organisme : NIA NIH HHS
ID : RF1 AG059009
Pays : United States
Organisme : NIA NIH HHS
ID : U19 AG032438
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG042791
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG003991
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005681
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG026276
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG072980
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB009352
Pays : United States
Organisme : NINDS NIH HHS
ID : P30 NS098577
Pays : United States
Organisme : NIA NIH HHS
ID : K23 AG046363
Pays : United States
Organisme : NIH HHS
ID : S10 OD025214
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG052550
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002345
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH098062
Pays : United States
Informations de copyright
© 2022 the Alzheimer's Association.
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