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Testing a Combination of Markers of Systemic Redox Status as a Possible Tool for the Diagnosis of Late Onset Alzheimer's Disease

BACKGROUND: Blood-based parameters reflecting systemic abnormalities associated with typical brain physiopathological hallmarks could be a satisfactory answer to the need of less costly/intrusive and widely available biomarkers for late onset Alzheimer's disease (LOAD). Cumulating evidence from...

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Autores principales: Zuliani, Giovanni, Passaro, Angelina, Bosi, Cristina, Sanz, Juana Maria, Trentini, Alessandro, Bergamini, Carlo M., Seripa, Davide, Greco, Antonio, Squerzanti, Monica, Rizzo, Roberta, Valacchi, Giuseppe, Cervellati, Carlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151249/
https://www.ncbi.nlm.nih.gov/pubmed/30271507
http://dx.doi.org/10.1155/2018/2576026
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author Zuliani, Giovanni
Passaro, Angelina
Bosi, Cristina
Sanz, Juana Maria
Trentini, Alessandro
Bergamini, Carlo M.
Seripa, Davide
Greco, Antonio
Squerzanti, Monica
Rizzo, Roberta
Valacchi, Giuseppe
Cervellati, Carlo
author_facet Zuliani, Giovanni
Passaro, Angelina
Bosi, Cristina
Sanz, Juana Maria
Trentini, Alessandro
Bergamini, Carlo M.
Seripa, Davide
Greco, Antonio
Squerzanti, Monica
Rizzo, Roberta
Valacchi, Giuseppe
Cervellati, Carlo
author_sort Zuliani, Giovanni
collection PubMed
description BACKGROUND: Blood-based parameters reflecting systemic abnormalities associated with typical brain physiopathological hallmarks could be a satisfactory answer to the need of less costly/intrusive and widely available biomarkers for late onset Alzheimer's disease (LOAD). Cumulating evidence from ourselves and others suggests that systemic oxidative stress (OxS) is precociously associated with LOAD. On this basis, we aimed to identify a combination of markers of redox status that could aid the diagnosis of LOAD. METHODS: We reexamined and crossed previous data on 9 serum markers of OxS obtained in a cohort including n = 84 controls and n = 90 LOAD patients by multivariate logistic regression analyses. RESULTS: A multimarker panel was identified that included significantly increased (hydroperoxides and uric acid) and decreased (thiols, residual antioxidant power, and arylesterase activity) markers. The multivariate model yielded an area under receiver-operating characteristic curve (AUC) of 0.808 for the discrimination between controls and LOAD patients, with specificity and sensitivity of 64% and 79%, respectively. CONCLUSIONS: This study identified a panel of serum markers that distinguish individuals with LOAD from cognitively healthy control subjects. Replication studies on a larger independent cohort are required to confirm and extend our data.
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spelling pubmed-61512492018-09-30 Testing a Combination of Markers of Systemic Redox Status as a Possible Tool for the Diagnosis of Late Onset Alzheimer's Disease Zuliani, Giovanni Passaro, Angelina Bosi, Cristina Sanz, Juana Maria Trentini, Alessandro Bergamini, Carlo M. Seripa, Davide Greco, Antonio Squerzanti, Monica Rizzo, Roberta Valacchi, Giuseppe Cervellati, Carlo Dis Markers Research Article BACKGROUND: Blood-based parameters reflecting systemic abnormalities associated with typical brain physiopathological hallmarks could be a satisfactory answer to the need of less costly/intrusive and widely available biomarkers for late onset Alzheimer's disease (LOAD). Cumulating evidence from ourselves and others suggests that systemic oxidative stress (OxS) is precociously associated with LOAD. On this basis, we aimed to identify a combination of markers of redox status that could aid the diagnosis of LOAD. METHODS: We reexamined and crossed previous data on 9 serum markers of OxS obtained in a cohort including n = 84 controls and n = 90 LOAD patients by multivariate logistic regression analyses. RESULTS: A multimarker panel was identified that included significantly increased (hydroperoxides and uric acid) and decreased (thiols, residual antioxidant power, and arylesterase activity) markers. The multivariate model yielded an area under receiver-operating characteristic curve (AUC) of 0.808 for the discrimination between controls and LOAD patients, with specificity and sensitivity of 64% and 79%, respectively. CONCLUSIONS: This study identified a panel of serum markers that distinguish individuals with LOAD from cognitively healthy control subjects. Replication studies on a larger independent cohort are required to confirm and extend our data. Hindawi 2018-09-09 /pmc/articles/PMC6151249/ /pubmed/30271507 http://dx.doi.org/10.1155/2018/2576026 Text en Copyright © 2018 Giovanni Zuliani et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zuliani, Giovanni
Passaro, Angelina
Bosi, Cristina
Sanz, Juana Maria
Trentini, Alessandro
Bergamini, Carlo M.
Seripa, Davide
Greco, Antonio
Squerzanti, Monica
Rizzo, Roberta
Valacchi, Giuseppe
Cervellati, Carlo
Testing a Combination of Markers of Systemic Redox Status as a Possible Tool for the Diagnosis of Late Onset Alzheimer's Disease
title Testing a Combination of Markers of Systemic Redox Status as a Possible Tool for the Diagnosis of Late Onset Alzheimer's Disease
title_full Testing a Combination of Markers of Systemic Redox Status as a Possible Tool for the Diagnosis of Late Onset Alzheimer's Disease
title_fullStr Testing a Combination of Markers of Systemic Redox Status as a Possible Tool for the Diagnosis of Late Onset Alzheimer's Disease
title_full_unstemmed Testing a Combination of Markers of Systemic Redox Status as a Possible Tool for the Diagnosis of Late Onset Alzheimer's Disease
title_short Testing a Combination of Markers of Systemic Redox Status as a Possible Tool for the Diagnosis of Late Onset Alzheimer's Disease
title_sort testing a combination of markers of systemic redox status as a possible tool for the diagnosis of late onset alzheimer's disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151249/
https://www.ncbi.nlm.nih.gov/pubmed/30271507
http://dx.doi.org/10.1155/2018/2576026
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