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

Author:

Zuliani Giovanni1,Passaro Angelina2,Bosi Cristina1,Sanz Juana Maria2,Trentini Alessandro3ORCID,Bergamini Carlo M.3,Seripa Davide4ORCID,Greco Antonio4,Squerzanti Monica3,Rizzo Roberta5ORCID,Valacchi Giuseppe67ORCID,Cervellati Carlo3ORCID

Affiliation:

1. Department of Morphology, Surgery and Experimental Medicine and LTTA Centre, University of Ferrara, Via Fossato di Mortara 70, 44121 Ferrara, Italy

2. Department of Medical Science, Section of Internal and Cardiopulmonary Medicine, University of Ferrara, Via Aldo Moro 8, 44124 Cona, Ferrara, Italy

3. Department of Biomedical and Specialist Surgical Sciences, Section of Medical Biochemistry, Molecular Biology and Genetics, University of Ferrara, Via Luigi Borsari 46, 44121 Ferrara, Italy

4. Gerontology and Geriatric Research Laboratory, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Viale Cappuccini 1, 71013 Foggia, Italy

5. Department of Medical Sciences, University of Ferrara, Via Luigi Borsari 46, 44121 Ferrara, Italy

6. Plants for Human Health Institute, Department of Animal Sciences, NC Research Campus, North Carolina State University, 600 Laureate Way, Kannapolis, NC 28081, USA

7. Department of Life Sciences and Biotechnology, University of Ferrara, Via Luigi Borsari 46, 44121 Ferrara, Italy

Abstract

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 includingn=84controls andn=90LOAD 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.

Funder

Università degli Studi di Ferrara

Publisher

Hindawi Limited

Subject

Biochemistry, medical,Clinical Biochemistry,Genetics,Molecular Biology,General Medicine

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3