Estimation of blood-based biomarkers of glial activation related to neuroinflammation.
Alzheimer’s disease (AD)
Blood-based biomarkers
Monocyte chemotactic protein 1 (MCP-1)
Neuroinflammation
Positron emission tomography (PET)
Soluble triggering receptor expressed on myeloid cells 2 (sTREM2)
Journal
Brain, behavior, & immunity - health
ISSN: 2666-3546
Titre abrégé: Brain Behav Immun Health
Pays: United States
ID NLM: 101759062
Informations de publication
Date de publication:
Dec 2022
Dec 2022
Historique:
received:
19
07
2022
revised:
08
10
2022
accepted:
30
10
2022
entrez:
17
11
2022
pubmed:
18
11
2022
medline:
18
11
2022
Statut:
epublish
Résumé
Neuroinflammation is a well-known feature of Alzheimer's disease (AD), and a blood-based test for estimating the levels of neuroinflammation would be expected. In this study, we examined and validated a model using blood-based biomarkers to predict the level of glial activation due to neuroinflammation, as estimated by We included 15 patients with AD and 10 cognitively normal (CN) subjects. Stepwise backward deletion multiple regression analysis was used to determine the predictors of the TSPO-binding potential (BP Sex, diagnosis, and serum concentrations of MCP1 and sTREM2 were determined as predictors of TSPO-BP We found that the model including serum MCP-1 and sTREM2 concentration and covariates of sex and diagnosis was the best for predicting brain TSPO-BP
Sections du résumé
Background
UNASSIGNED
Neuroinflammation is a well-known feature of Alzheimer's disease (AD), and a blood-based test for estimating the levels of neuroinflammation would be expected. In this study, we examined and validated a model using blood-based biomarkers to predict the level of glial activation due to neuroinflammation, as estimated by
Methods
UNASSIGNED
We included 15 patients with AD and 10 cognitively normal (CN) subjects. Stepwise backward deletion multiple regression analysis was used to determine the predictors of the TSPO-binding potential (BP
Results
UNASSIGNED
Sex, diagnosis, and serum concentrations of MCP1 and sTREM2 were determined as predictors of TSPO-BP
Conclusions
UNASSIGNED
We found that the model including serum MCP-1 and sTREM2 concentration and covariates of sex and diagnosis was the best for predicting brain TSPO-BP
Identifiants
pubmed: 36388135
doi: 10.1016/j.bbih.2022.100549
pii: S2666-3546(22)00139-9
pmc: PMC9650015
doi:
Types de publication
Journal Article
Langues
eng
Pagination
100549Informations de copyright
© 2022 The Authors.
Déclaration de conflit d'intérêts
The authors declare no potential conflicts of interest.
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