亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Deciphering the components of Amyloid‐beta (Aβ)‐driven dementia using a novel peptide‐focused global proteomics platform

蛋白质组 痴呆 蛋白质组学 β淀粉样蛋白 生物 计算生物学 生物信息学 医学 疾病 神经科学 内科学 基因 生物化学
作者
Satya Saxena,Yuanqing Ye,Viswanath Devanarayan,Larisa Reyderman,Akihiko Koyama,Perminder S. Sachdev
出处
期刊:Alzheimers & Dementia [Wiley]
卷期号:19 (S15)
标识
DOI:10.1002/alz.078303
摘要

Abstract Background The overlap of Alzheimer’s disease (AD) symptomology and pathology with other dementia types is a significant challenge to treatment, patient care, and new drug development. Amyloid‐beta (Aβ) peptides begin to accumulate in AD subjects over a decade prior to clinical symptoms and impair multiple cellular pathways during disease continuum. However, how the brain proteome is remodeled by Aβ burden remains an enigma. Here we compared the cerebrospinal fluid (CSF) proteomes of demented subjects with or without Aβ pathology to unveil alterations specific to Aβ‐driven dementia. Method Mass spectrometry data (PRIDE archive PXD016278) from CSF of cognitively impaired Sweden cohort subjects was reanalyzed using our de novo ‐assisted workflow. Peptide raw peak area intensities were quantile normalized and log2 transformed to reduce technical variation and ensure distribution symmetry. Differentially expressed peptides were identified via analysis of covariance after adjusting for age and gender. Multiscale Embedded Gene Co‐expression Network Analysis (MEGENA) was used to explore the dysregulated network from Aβ ‐ driven brain proteome remodeling. Result The de novo ‐assisted workflow significantly increased the CSF proteome depth ‐ 4,572 CSF protein groups vs 1542 protein groups reported in PXD016278 analysis. Comparison of peptide‐level CSF proteomes of demented subjects with or without Aβ pathology identified 2,014 differentially regulated peptides (q<0.2). These alterations may reflect the Aβ ‐ driven brain proteome remodeling in CSF. MEGENA network analysis identified several hubs and network modules. The most significantly altered ALDO‐A peptide represented a hub, a highly connected node within a network module, and exhibited high correlation with AD‐linked neurosecretory protein VGF and MAPT. The top pathways enriched in MEGENA network modules, e.g. extracellular matrix organization, cell adhesion, and neurogenesis, are consistent with other pathway enrichment analyses across other cross‐sectional studies in AD and non‐AD dementias. Conclusion This is the first study capturing the peptide‐level alterations in CSF to reflect brain proteome remodeling by Aβ burden. This data will serve as an important resource for biomarkers demarcating AD from non‐AD.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
3秒前
archiz发布了新的文献求助10
6秒前
陆玖笙发布了新的文献求助10
7秒前
9秒前
jenniferli发布了新的文献求助10
13秒前
14秒前
26秒前
情怀应助jenniferli采纳,获得10
43秒前
aubusson应助bhcs采纳,获得50
46秒前
小朱完成签到,获得积分10
46秒前
尼古拉斯完成签到,获得积分10
50秒前
无限的寡妇完成签到,获得积分10
52秒前
58秒前
Owen应助ygl0217采纳,获得10
1分钟前
1分钟前
ygl0217发布了新的文献求助10
1分钟前
1分钟前
ygl0217完成签到,获得积分10
1分钟前
土土桔子糖完成签到 ,获得积分10
1分钟前
打打应助XX采纳,获得10
1分钟前
清秀的易文应助bhcs采纳,获得50
1分钟前
1分钟前
诚心荟完成签到,获得积分10
1分钟前
整齐成仁完成签到,获得积分10
1分钟前
1分钟前
大模型应助夜月残阳采纳,获得10
2分钟前
2分钟前
秀丽颤完成签到,获得积分10
2分钟前
2分钟前
XX发布了新的文献求助10
2分钟前
miaomiao123完成签到 ,获得积分10
2分钟前
夜月残阳完成签到,获得积分10
2分钟前
尊敬凡旋完成签到,获得积分10
2分钟前
科研通AI6.3应助zzz采纳,获得10
2分钟前
寒冷的映冬完成签到,获得积分10
2分钟前
molihuakai应助科研通管家采纳,获得50
2分钟前
完美飞凤完成签到,获得积分10
3分钟前
3分钟前
Criminology34举报观光求助涉嫌违规
3分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Health Psychology 1000
全员动态考核,锚定高质量发展:读懂同济大学教师人事改革新政的深层价值 900
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7597607
求助须知:如何正确求助?哪些是违规求助? 9174207
关于积分的说明 19640338
捐赠科研通 7174446
什么是DOI,文献DOI怎么找? 3268235
关于科研通互助平台的介绍 2432792
邀请新用户注册赠送积分活动 2261491