Serum Levels of Clusterin, PKR, and RAGE Correlate with Amyloid Burden in Alzheimer's Disease.


Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
2021
Historique:
pubmed: 2 3 2021
medline: 15 9 2021
entrez: 1 3 2021
Statut: ppublish

Résumé

Alzheimer's disease (AD) is the most common form of dementia and biomarkers are essential to help in the diagnosis of this disease. Image techniques and cerebrospinal fluid (CSF) biomarkers are limited in their use because they are expensive or invasive. Thus, the search for blood-borne biomarkers is becoming central to the medical community. The main objective of this study is the evaluation of three serum proteins as potential biomarkers in AD patients. We recruited 27 healthy controls, 19 mild cognitive impairment patients, and 17 AD patients. Using the recent A/T/N classification we split our population into two groups (AD and control). We used ELISA kits to determine Aβ42, tau, and p-tau in CSF and clusterin, PKR, and RAGE in serum. The levels of serum clusterin, PKR, and RAGE were statistically different in the AD group compared to controls. These proteins showed a statistically significant correlation with CSF Aβ42. So, they were selected to generate an AD detection model showing an AUC-ROC of 0.971 (CI 95%, 0.931-0.998). The developed model based on serum biomarkers and other co-variates could reflect the AD core pathology. So far, not one single blood-biomarker has been described, with effectiveness offering high sensitivity and specificity. We propose that the complexity of AD pathology could be reflected in a set of biomarkers also including clinical features of the patients.

Sections du résumé

BACKGROUND
Alzheimer's disease (AD) is the most common form of dementia and biomarkers are essential to help in the diagnosis of this disease. Image techniques and cerebrospinal fluid (CSF) biomarkers are limited in their use because they are expensive or invasive. Thus, the search for blood-borne biomarkers is becoming central to the medical community.
OBJECTIVE
The main objective of this study is the evaluation of three serum proteins as potential biomarkers in AD patients.
METHODS
We recruited 27 healthy controls, 19 mild cognitive impairment patients, and 17 AD patients. Using the recent A/T/N classification we split our population into two groups (AD and control). We used ELISA kits to determine Aβ42, tau, and p-tau in CSF and clusterin, PKR, and RAGE in serum.
RESULTS
The levels of serum clusterin, PKR, and RAGE were statistically different in the AD group compared to controls. These proteins showed a statistically significant correlation with CSF Aβ42. So, they were selected to generate an AD detection model showing an AUC-ROC of 0.971 (CI 95%, 0.931-0.998).
CONCLUSION
The developed model based on serum biomarkers and other co-variates could reflect the AD core pathology. So far, not one single blood-biomarker has been described, with effectiveness offering high sensitivity and specificity. We propose that the complexity of AD pathology could be reflected in a set of biomarkers also including clinical features of the patients.

Identifiants

pubmed: 33646167
pii: JAD201443
doi: 10.3233/JAD-201443
doi:

Substances chimiques

Amyloid beta-Peptides 0
Antigens, Neoplasm 0
Biomarkers 0
CLU protein, human 0
Clusterin 0
EIF2AK2 protein, human EC 2.7.11.1
eIF-2 Kinase EC 2.7.11.1
MOK protein, human EC 2.7.11.22
Mitogen-Activated Protein Kinases EC 2.7.11.24

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1067-1077

Auteurs

Paloma Monllor (P)

Freshage Research Group, Department of Physiology, University of Valencia, CIBERFES-ISCIII, INCLIVA, Valencia, Spain.

Esther Giraldo (E)

Department of Biotechnology, Universitat Politècnica de València, Valencia, Spain.
Principe Felipe Research Center, Valencia, Spain.

Mari-Carmen Badia (MC)

Hospital Clinico Universitario de Valencia, Valencia, Spain.

Jose Garcia de la Asuncion (JG)

Hospital Clinico Universitario de Valencia, Valencia, Spain.

Maria-Dolores Alonso (MD)

Hospital Clinico Universitario de Valencia, Valencia, Spain.

Ana Lloret (A)

Freshage Research Group, Department of Physiology, University of Valencia, CIBERFES-ISCIII, INCLIVA, Valencia, Spain.

Jose Vina (J)

Freshage Research Group, Department of Physiology, University of Valencia, CIBERFES-ISCIII, INCLIVA, Valencia, Spain.

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Classifications MeSH