Progress in blood biomarkers of subjective cognitive decline in preclinical Alzheimer’s disease
10.1097/CM9.0000000000002566
- VernacularTitle:Progress in blood biomarkers of subjective cognitive decline in preclinical Alzheimer’s disease
- Author:
Xianfeng YU
1
;
Kai SHAO
;
Ke WAN
;
Taoran LI
;
Yuxia LI
;
Xiaoqun ZHU
;
Ying HAN
Author Information
1. Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China
- Keywords:
Alzheimer’s disease;
Biomarker;
Blood;
Evolving technologies;
Subjective cognitive decline
- From:
Chinese Medical Journal
2023;136(5):505-521
- CountryChina
- Language:Chinese
-
Abstract:
Alzheimer' s disease (AD) is a neurodegenerative disease that gradually impairs cognitive functions. Recently, there has been a conceptual shift toward AD to view the disease as a continuum. Since AD is currently incurable, effective intervention to delay or prevent pathological cognitive decline may best target the early stages of symptomatic disease, such as subjective cognitive decline (SCD), in which cognitive function remains relatively intact. Diagnostic methods for identifying AD, such as cerebrospinal fluid biomarkers and positron emission tomography, are invasive and expensive. Therefore, it is imperative to develop blood biomarkers that are sensitive, less invasive, easier to access, and more cost effective for AD diagnosis. This review aimed to summarize the current data on whether individuals with SCD differ reliably and effectively in subjective and objective performances compared to cognitively normal elderly individuals, and to find one or more convenient and accessible blood biomarkers so that researchers can identify SCD patients with preclinical AD in the population as soon as possible. Owing to the heterogeneity and complicated pathogenesis of AD, it is difficult to make reliable diagnoses using only a single blood marker. This review provides an overview of the progress achieved to date with the use of SCD blood biomarkers in patients with preclinical AD, highlighting the key areas of application and current challenges.
