Specific associations between plasma biomarkers and postmortem amyloid plaque and tau tangle loads

纠纷 神经纤维缠结 病理 淀粉样蛋白(真菌学) 医学 内科学 阿尔茨海默病 胃肠病学 老年斑 疾病 数学 纯数学
作者
Gemma Salvadó,Rik Ossenkoppele,Nicholas J. Ashton,Thomas G. Beach,Geidy E. Serrano,Eric M. Reiman,Henrik Zetterberg,Niklas Mattsson,Shorena Janelidze,Kaj Blennow,Oskar Hansson
出处
期刊:Embo Molecular Medicine [EMBO]
卷期号:15 (5) 被引量:85
标识
DOI:10.15252/emmm.202217123
摘要

Several promising plasma biomarkers for Alzheimer's disease have been recently developed, but their neuropathological correlates have not yet been fully determined. To investigate and compare independent associations between multiple plasma biomarkers (p-tau181, p-tau217, p-tau231, Aβ42/40, GFAP, and NfL) and neuropathologic measures of amyloid and tau, we included 105 participants from the Arizona Study of Aging and Neurodegenerative Disorders (AZSAND) with antemortem plasma samples and a postmortem neuropathological exam, 48 of whom had longitudinal p-tau217 and p-tau181. When simultaneously including plaque and tangle loads, the Aβ42/40 ratio and p-tau231 were only associated with plaques (ρAβ42/40 [95%CI] = -0.53[-0.65, -0.35], ρp-tau231 [95%CI] = 0.28[0.10, 0.43]), GFAP was only associated with tangles (ρGFAP [95%CI] = 0.39[0.17, 0.57]), and p-tau217 and p-tau181 were associated with both plaques (ρp-tau217 [95%CI] = 0.40[0.21, 0.56], ρp-tau181 [95%CI] = 0.36[0.15, 0.50]) and tangles (ρp-tau217 [95%CI] = 0.52[0.34, 0.66]; ρp-tau181 [95%CI] = 0.36[0.17, 0.52]). A model combining p-tau217 and the Aβ42/40 ratio showed the highest accuracy for predicting the presence of Alzheimer's disease neuropathological change (ADNC, AUC[95%CI] = 0.89[0.82, 0.96]) and plaque load (R2 = 0.55), while p-tau217 alone was optimal for predicting tangle load (R2 = 0.45). Our results suggest that high-performing assays of plasma p-tau217 and Aβ42/40 might be an optimal combination to assess Alzheimer's-related pathology in vivo.

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
小马甲应助52251013106采纳,获得10
刚刚
2秒前
猫的淡淡完成签到,获得积分10
5秒前
量子星尘发布了新的文献求助10
5秒前
6秒前
Aria完成签到,获得积分10
6秒前
小团子完成签到,获得积分10
6秒前
Hello应助yywww采纳,获得10
6秒前
7秒前
9秒前
May完成签到,获得积分10
10秒前
狂野的乘风完成签到,获得积分10
10秒前
英姑应助人类高血压女性采纳,获得10
10秒前
10秒前
Isabelle完成签到 ,获得积分10
11秒前
11秒前
一二完成签到,获得积分10
11秒前
阔达平凡完成签到,获得积分10
11秒前
慕青应助Qinghen采纳,获得10
11秒前
木由子完成签到 ,获得积分10
11秒前
黄任行完成签到,获得积分10
11秒前
12秒前
ksq完成签到,获得积分10
12秒前
13秒前
13秒前
笛卡尔发布了新的文献求助10
13秒前
14秒前
量子星尘发布了新的文献求助10
14秒前
举人烧烤发布了新的文献求助10
14秒前
14秒前
remimazolam完成签到,获得积分10
14秒前
zzyy完成签到,获得积分10
15秒前
15秒前
Lucas应助TingtingGZ采纳,获得10
16秒前
悟空发布了新的文献求助30
17秒前
17秒前
17秒前
端庄凌文发布了新的文献求助10
18秒前
Hello应助鲤鱼金针菇采纳,获得10
18秒前
guoguo发布了新的文献求助10
18秒前
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
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5666454
求助须知:如何正确求助?哪些是违规求助? 4882107
关于积分的说明 15117498
捐赠科研通 4825502
什么是DOI,文献DOI怎么找? 2583441
邀请新用户注册赠送积分活动 1537599
关于科研通互助平台的介绍 1495756