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Diagnostic Blood Biomarkers in Alzheimer’s Disease

Potential biomarkers for Alzheimer’s disease (AD) include amyloid β(1–42) (Aβ(1–42)), t-Tau, p-Tau(181), neurofilament light chain (NFL), and neuroimaging biomarkers. Their combined use is useful for diagnosing and monitoring the progress of AD. Therefore, further development of a combination of the...

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Detalles Bibliográficos
Autores principales: Park, Jung Eun, Gunasekaran, Tamil Iniyan, Cho, Yeong Hee, Choi, Seong-Min, Song, Min-Kyung, Cho, Soo Hyun, Kim, Jahae, Song, Ho-Chun, Choi, Kyu Yeong, Lee, Jang Jae, Park, Zee-Yong, Song, Woo Keun, Jeong, Han-Seong, Lee, Kun Ho, Lee, Jung Sup, Kim, Byeong C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8773964/
https://www.ncbi.nlm.nih.gov/pubmed/35052848
http://dx.doi.org/10.3390/biomedicines10010169
Descripción
Sumario:Potential biomarkers for Alzheimer’s disease (AD) include amyloid β(1–42) (Aβ(1–42)), t-Tau, p-Tau(181), neurofilament light chain (NFL), and neuroimaging biomarkers. Their combined use is useful for diagnosing and monitoring the progress of AD. Therefore, further development of a combination of these biomarkers is essential. We investigated whether plasma NFL/Aβ(1–42) can serve as a plasma-based primary screening biomarker reflecting brain neurodegeneration and amyloid pathology in AD for monitoring disease progression and early diagnosis. We measured the NFL and Aβ(1–42) concentrations in the CSF and plasma samples and performed correlation analysis to evaluate the utility of these biomarkers in the early diagnosis and monitoring of AD spectrum disease progression. Pearson’s correlation analysis was used to analyse the associations between the fluid biomarkers and neuroimaging data. The study included 136 participants, classified into five groups: 28 cognitively normal individuals, 23 patients with preclinical AD, 22 amyloid-negative patients with amnestic mild cognitive impairment, 32 patients with prodromal AD, and 31 patients with AD dementia. With disease progression, the NFL concentrations increased and Aβ(1–42) concentrations decreased. The plasma and CSF NFL/Aβ(1–42) were strongly correlated (r = 0.558). Plasma NFL/Aβ(1–42) was strongly correlated with hippocampal volume/intracranial volume (r = 0.409). In early AD, plasma NFL/Aβ(1–42) was associated with higher diagnostic accuracy than the individual biomarkers. Moreover, in preclinical AD, plasma NFL/Aβ(1–42) changed more rapidly than the CSF t-Tau or p-Tau(181) concentrations. Our findings highlight the utility of plasma NFL/Aβ(1–42) as a non-invasive plasma-based biomarker for early diagnosis and monitoring of AD spectrum disease progression.