Cognitive Decline and Alzheimer's Disease in Old Age: A Sex-Specific Cytokinome Signature.


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:
2019
Historique:
pubmed: 29 10 2019
medline: 1 12 2020
entrez: 29 10 2019
Statut: ppublish

Résumé

Elevated peripheral levels of different cytokines and chemokines in subjects with Alzheimer's disease (AD), as compared with healthy controls (HC), have emphasized the role of inflammation in such a disease. Considering the cross-talking between the central nervous system and the periphery, the inflammatory analytes may provide utility as biomarkers to identify AD at earlier stages. Using an advanced statistical approach, we can discriminate the interactive network of cytokines/chemokines and propose a useful tool to follow the progression and evolution of AD, also in light of sex differences. A cohort of 289 old-age subjects was screened for cytokine and chemokine profiling, measured in plasma, after a thorough clinical and neuropsychological evaluation. A custom algorithm based on Fisher linear discriminant analysis was applied to ascertain a classification signature able to discriminate HC from mild cognitive impairment (MCI) and AD. We observed that a joint expression of three proteins (a "signature" composed by IFN-α2, IL-1α, TNFα) can discriminate HC from AD with an accuracy of 65.24%. Using this signature on MCI samples, 84.93% of them were classified as "non-HC". Stratifying MCI samples by sex, we observed that 87.23% of women were classified as "non-HC", and only 57.69% of males. Indeed, in a scatter plot of IFN-α2 and IL-1α, the HC group was better separated from MCI and AD in women as compared with men. These findings suggest that AD is accompanied by a peripheral inflammatory response that can already be present in MCI subjects, thus providing a mean for detecting this at-risk status and allow an anticipated intervention.

Sections du résumé

BACKGROUND
Elevated peripheral levels of different cytokines and chemokines in subjects with Alzheimer's disease (AD), as compared with healthy controls (HC), have emphasized the role of inflammation in such a disease. Considering the cross-talking between the central nervous system and the periphery, the inflammatory analytes may provide utility as biomarkers to identify AD at earlier stages.
OBJECTIVE
Using an advanced statistical approach, we can discriminate the interactive network of cytokines/chemokines and propose a useful tool to follow the progression and evolution of AD, also in light of sex differences.
METHODS
A cohort of 289 old-age subjects was screened for cytokine and chemokine profiling, measured in plasma, after a thorough clinical and neuropsychological evaluation. A custom algorithm based on Fisher linear discriminant analysis was applied to ascertain a classification signature able to discriminate HC from mild cognitive impairment (MCI) and AD.
RESULTS
We observed that a joint expression of three proteins (a "signature" composed by IFN-α2, IL-1α, TNFα) can discriminate HC from AD with an accuracy of 65.24%. Using this signature on MCI samples, 84.93% of them were classified as "non-HC". Stratifying MCI samples by sex, we observed that 87.23% of women were classified as "non-HC", and only 57.69% of males. Indeed, in a scatter plot of IFN-α2 and IL-1α, the HC group was better separated from MCI and AD in women as compared with men.
CONCLUSION
These findings suggest that AD is accompanied by a peripheral inflammatory response that can already be present in MCI subjects, thus providing a mean for detecting this at-risk status and allow an anticipated intervention.

Identifiants

pubmed: 31658056
pii: JAD190480
doi: 10.3233/JAD-190480
doi:

Substances chimiques

Biomarkers 0
Chemokines 0
Cytokines 0

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

911-918

Auteurs

Virginia Boccardi (V)

Institute of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy.

Lucia Paolacci (L)

Institute of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy.

Daniel Remondini (D)

Department of Physics and Astronomy, University of Bologna, and INFN Bologna, Bologna, Italy.

Enrico Giampieri (E)

Department of Physics and Astronomy, University of Bologna, and INFN Bologna, Bologna, Italy.

Giulia Poli (G)

Department of Experimental Medicine, Section of Terni, University of Perugia, Perugia, Italy.

Nico Curti (N)

Department of Physics and Astronomy, University of Bologna, and INFN Bologna, Bologna, Italy.

Roberta Cecchetti (R)

Institute of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy.

Alfredo Villa (A)

Department of Clinical Pathology, S.M. della Misericordia Hospital, Perugia, Italy.

Carmelinda Ruggiero (C)

Institute of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy.

Stefano Brancorsini (S)

Department of Experimental Medicine, Section of Terni, University of Perugia, Perugia, Italy.

Patrizia Mecocci (P)

Institute of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy.

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