Serum β‐Synuclein as a Potential Early Biomarker for Alzheimer's Disease

Our findings indicate that serum β-synuclein is a promising biomarker for early AD. Its association with disease progression and minimally invasive nature highlight its potential for early detection and monitoring.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_101498
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Serum β‐Synuclein as a Potential Early Biomarker for Alzheimer's Disease

Jianping Jia, Yumei Liang, Siqi Xie, the Alzheimer's Disease Neuroimaging Initiative
Alzheimer s & Dementia
Parkinson's Disease Mechanisms and Treatments
article

Serum β‐Synuclein as a Potential Early Biomarker for Alzheimer's Disease

Jianping Jia, Yumei Liang, Siqi Xie, the Alzheimer's Disease Neuroimaging Initiative
article en

Abstract

Our findings indicate that serum β-synuclein is a promising biomarker for early AD. Its association with disease progression and minimally invasive nature highlight its potential for early detection and monitoring.

Alzheimer s & DementiaVol. 21(S2)
Ministry of Education of the People's Republic of China (CN), Capital Medical University (CN), Beijing Geriatric Hospital (CN), National Clinical Research Center for Digestive Diseases (CN), Chinese Institute for Brain Research (CN), National Clinical Research (US)
Openalex Percentile: Top 31%
Parkinson's Disease Mechanisms and Treatments
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.