Validation of the robustness of blood-based biomarkers for predicting amyloid-β positivity in Chinese populations

Blood-based biomarkers have demonstrated good robustness for predicting Aβ pathology in the Chinese population, with plasma p-tau217 standing out as the most promising marker for early detection of AD-related changes.

Authors

Institutions

Publication Details

Journal
Frontiers in Aging Neuroscience
Published
2025-12-03
DOI
https://doi.org/10.3389/fnagi.2025.1660755
Primary Topic
Amyloidosis: Diagnosis, Treatment, Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validation of the robustness of blood-based biomarkers for predicting amyloid-β positivity in Chinese populations

Fengfeng Pan, Lin Huang, Liang Cui, Qihao Guo et al.
Frontiers in Aging Neuroscience
Amyloidosis: Diagnosis, Treatment, Outcomes
article

Validation of the robustness of blood-based biomarkers for predicting amyloid-β positivity in Chinese populations

Fengfeng Pan, Lin Huang, Liang Cui, Qihao Guo, Ying Wang, Ya Miao, Yihui Guan, Zhen Zhang
article en

Abstract

Blood-based biomarkers have demonstrated good robustness for predicting Aβ pathology in the Chinese population, with plasma p-tau217 standing out as the most promising marker for early detection of AD-related changes.

Frontiers in Aging NeuroscienceVol. 17
Shanghai Jiao Tong University (CN), Fudan University (CN), Shanghai Sixth People's Hospital (CN), Huashan Hospital (CN)
Openalex Percentile: Top 66%
Amyloidosis: Diagnosis, Treatment, Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.