Comparison of Commonly Measured Plasma and Cerebrospinal Fluid Proteins and Their Significance for the Characterization of Cognitive Impairment Status

Author:

Rehman Habbiburr1,Ang Ting Fang Alvin23,Tao Qiushan4,Espenilla Arielle Lauren56,Au Rhoda12367,Farrer Lindsay A.13856,Zhang Xiaoling15679,Qiu Wei Qiao234109,

Affiliation:

1. Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA

2. Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA

3. Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA

4. Department of Pharmacology & Experimental Therapeutics, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA

5. Department of Biostatistics and Boston University School of Public Health, Boston, MA, USA

6. Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA

7. Framingham Heart Study, Boston University School of Medicine, Framingham, MA, USA

8. Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA

9. Alzheimer’s Disease Research Center, Boston University School of Medicine, Boston, MA, USA

10. Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA

Abstract

Background: Although cerebrospinal fluid (CSF) amyloid-β42 peptide (Aβ42) and phosphorylated tau (p-tau) and blood p-tau are valuable for differential diagnosis of Alzheimer’s disease (AD) from cognitively normal (CN) there is a lack of validated biomarkers for mild cognitive impairment (MCI). Objective: This study sought to determine how plasma and CSF protein markers compared in the characterization of MCI and AD status. Methods: This cohort study included Alzheimer’s Disease Neuroimaging Initiative (ADNI) participants who had baseline levels of 75 proteins measured commonly in plasma and CSF (257 total, 46 CN, 143 MCI, and 68 AD). Logistic regression, least absolute shrinkage and selection operator (LASSO) and Random Forest (RF) methods were used to identify the protein candidates for the disease classification. Results: We observed that six plasma proteins panel (APOE, AMBP, C3, IL16, IGFBP2, APOD) outperformed the seven CSF proteins panel (VEGFA, HGF, PRL, FABP3, FGF4, CD40, RETN) as well as AD markers (CSF p-tau and Aβ42) to distinguish the MCI from AD [area under the curve (AUC) = 0.75 (plasma proteins), AUC = 0.60 (CSF proteins) and AUC = 0.56 (CSF p-tau and Aβ42)]. Also, these six plasma proteins performed better than the CSF proteins and were in line with CSF p-tau and Aβ42 in differentiating CN versus MCI subjects [AUC = 0.89 (plasma proteins), AUC = 0.85 (CSF proteins) and AUC = 0.89 (CSF p-tau and Aβ42)]. These results were adjusted for age, sex, education, and APOE ϵ4 genotype. Conclusions: This study suggests that the combination of 6 plasma proteins can serve as an effective marker for differentiating MCI from AD and CN.

Publisher

IOS Press

Subject

Psychiatry and Mental health,Geriatrics and Gerontology,Clinical Psychology,General Medicine,General Neuroscience

Cited by 2 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

1. A genetic and proteomic comparison of key AD biomarkers across tissues;Alzheimer's & Dementia;2024-07-30

2. Biomarkers of chronic inflammation and cognitive decline: A prospective observational study;Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring;2024-01

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