Plasma pTau217: single vs multiple phospho‐site assays.

生物标志物 背景(考古学) 肿瘤科 内科学 医学 队列 淀粉样蛋白(真菌学) 磷酸化 病理 化学 生物 生物化学 古生物学
作者
Andréa Lessa Benedet,Ilaria Pola,Gallen Triana‐Baltzer,Guglielmo Di Molfetta,Burak Arslan,Nesrine Rahmouni,Cécile Tissot,Joseph Therriault,Stijn Servaes,Tharick A. Pascoal,Hartmuth C. Kolb,Andreas Jeromin,Kaj Blennow,Henrik Zetterberg,Nicholas J. Ashton,Pedro Rosa‐Neto
出处
期刊:Alzheimers & Dementia [Wiley]
卷期号:19 (S24) 被引量:1
标识
DOI:10.1002/alz.082953
摘要

Abstract Background Blood biomarkers have gained much attention in recent years given their increasing ability to indicate amyloid pathology and excellent performance in distinguishing diagnostic groups in the context of Alzheimer’s disease (AD). Plasma pTau217 has been considered the best candidate biomarker to serve as diagnostic and prognostic tool for clinical trials. However, biomarker assays targeting tau phosphorylation on Thr217 may differ because of their composition (e.g., targeting multiple or single phosphorylation sites) which may lead to distinct associations with pathology. Thus, we aimed to compare two plasma pTau217 immunoassays that differ in regard to their target specificity. Method Participants from the TRIAD cohort with available cross‐sectional plasma and imaging data, incorporating within the AD spectrum, were included in this study (Young = 25;CU‐ = 107;CU+ = 32;MCI+ = 42;AD+ = 47;MCI‐ = 19). Plasma pTau was quantified using the assays from Janssen (pTau217+; which exhibits enhanced signal with co‐phosphorylation of pTau212) and from ALZpath (single phosphorylation on pTau217), both performed on the Simoa platform. Amyloid and tau pathologies were indexed by PET using [ 18 F]AZD4694 and [ 18 F]MK6240, respectively. ANCOVA compared biomarker values across groups, Spearman rank tested the correlations between them. Linear regression models (LM) evaluated the association between plasma and PET biomarkers globally and at the voxel level. Result Biomarker levels (fold mean of CU‐) were comparable across diagnostic groups, showing the expected increases in amyloid positive groups. Both plasma assays were highly correlated with amyloid (Fig.1), which was also observed on the LM adjusted by age and sex, and on the voxel‐wise analysis (Fig.2). Associations with tau PET SUVR (medial temporal) were also significant and showed similar distribution between the two pTau assays. When neocortical tau was evaluated, however, pTau217+ had a better association as well as higher correlation coefficients within amyloid+ (Fig.3) and neocortical tau+ groups than did ALZpath pTau217. Conclusion In general, pTau217 assays with different antibody specificity showed very similar associations with PET. However, pTau217+ achieved a better association with neocortical tau as compared to ALZpath pTau217. A biomarker targeting multiple phosphorylation sites might be a better proxy of advanced tau, therefore may offer improved ability to detect and exclude participants with advanced AD pathology for clinical trials.

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
Stone发布了新的文献求助10
刚刚
原野小年发布了新的文献求助10
1秒前
一十六发布了新的文献求助10
1秒前
大白牛完成签到,获得积分10
3秒前
叮当喵发布了新的文献求助10
3秒前
lewis17发布了新的文献求助10
3秒前
卢秋宇发布了新的文献求助10
3秒前
4秒前
4秒前
小豆发布了新的文献求助10
4秒前
所所应助伯赏夜南采纳,获得10
4秒前
5秒前
Orange应助冷酷的尔琴采纳,获得10
5秒前
英姑应助从容问雁采纳,获得10
5秒前
5秒前
暖秋发布了新的文献求助10
6秒前
6秒前
6秒前
6秒前
原野小年完成签到,获得积分10
7秒前
稳重蜗牛完成签到,获得积分10
7秒前
帅气书白完成签到,获得积分10
8秒前
edtaa发布了新的文献求助10
8秒前
DamonChen发布了新的文献求助10
8秒前
无心的砖家完成签到,获得积分10
8秒前
落后十八发布了新的文献求助20
8秒前
sheep完成签到,获得积分10
8秒前
SciGPT应助雨雨雨采纳,获得10
9秒前
直率诗柳完成签到,获得积分10
9秒前
刚国忠完成签到,获得积分20
9秒前
屈昭阳完成签到,获得积分20
9秒前
Lawenced发布了新的文献求助10
10秒前
何文发布了新的文献求助10
11秒前
尤寄风发布了新的文献求助10
11秒前
悬夜发布了新的文献求助10
12秒前
量子星尘发布了新的文献求助10
13秒前
14秒前
14秒前
Sunny完成签到 ,获得积分10
14秒前
15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
Basic And Clinical Science Course 2025-2026 3000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 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 5608504
求助须知:如何正确求助?哪些是违规求助? 4693127
关于积分的说明 14876947
捐赠科研通 4717761
什么是DOI,文献DOI怎么找? 2544250
邀请新用户注册赠送积分活动 1509316
关于科研通互助平台的介绍 1472836