Large-scale proteome analysis of CSF implicates altered glucose metabolism in Alzheimer’s disease

Author:

Panyard Daniel J.ORCID,McKetney JustinORCID,Deming Yuetiva K.ORCID,Morrow Autumn R.,Ennis Gilda E.ORCID,Jonaitis Erin M.,Van Hulle Carol A.,Cruchaga CarlosORCID,Yang ChengranORCID,Sung Yun JuORCID,Zetterberg HenrikORCID,Blennow Kaj,Kollmorgen Gwendlyn,Suridjan Ivonne,Bayfield Anna,Bendlin Barbara B.,Carlsson Cynthia M.,Johnson Sterling C.,Asthana Sanjay,Coon Joshua J.,Engelman Corinne D.ORCID

Abstract

AbstractA major hallmark of Alzheimer’s disease (AD) is the aggregation of misfolded proteins (β-amyloid (A) and hyperphosphorylated tau (T)) in the brain. As these proteins can be monitored by cerebrospinal fluid (CSF) measures, the AD proteome in CSF has been of particular interest. Here, we conducted a proteome-wide assessment of the CSF in an AD cohort among participants with and without AD pathology (n = 137 total participants: 56 A-T-, 39 A+T-, and 42 A+T+; 915 proteins analyzed), identifying a diverse set of proteins in the CSF enriched for extracellular and immune system processes. We then interrogated the proteome using the amyloid, tau, and neurodegeneration (ATN) framework of AD and a panel of 9 CSF biomarkers for neurodegeneration and neuroinflammation. After multiple testing correction, we identified a total of 61 proteins significantly associated with AT group (P < 5.46 × 10-5; strongest was SMOC1, P = 1.87 × 10-12) and 636 significant protein-biomarker associations (P < 6.07 × 10-6; strongest was a positive association between neurogranin and EPHA4, P = 2.42 × 10-25) across all measures except for interleukin-6, which had no significantly associated proteins. Community network and pathway enrichment analyses highlighted three biomarker-associated protein networks: one related to amyloid and tau measures, one to CSF neurogranin, and one to the remaining CSF biomarkers. Glucose metabolic pathways were enriched primarily among the amyloid- and tau-associated proteins, including malate dehydrogenase and aldolase A, both of which were replicated as strongly associated with AD (P = 1.07 × 10-19 and P = 7.43 × 10-14, respectively) in an independent CSF proteomics cohort (n = 717 participants). Comparative performance of the CSF proteome in predicting AT categorization was high (mean AUC range 0.891–0.924 with number of protein predictors ranging from 37-97) relative to other omic predictors from the genome, CSF metabolome, and demographics from the same cohort of individuals. Collectively, these results emphasize the importance of the CSF proteome relative to other omics and implicate glucose metabolic dysregulation as amyloid and tau pathology emerges in AD.

Publisher

Cold Spring Harbor Laboratory

Reference113 articles.

1. Alzheimer’s Disease International. World Alzheimer Report 2019: Attitudes to dementia. 160 (2019).

2. 2019 Alzheimer’s disease facts and figures;Alzheimers Dement,2019

3. A review on Alzheimer's disease pathophysiology and its management: an update

4. Emerging Concepts in Alzheimer’s Disease;Annu. Rev. Pathol. Mech. Dis,2015

5. Cerebrospinal fluid and plasma biomarkers in Alzheimer disease

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

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