Plasma amyloid β 40/42 ratio predicts cerebral amyloidosis in cognitively normal individuals at risk for Alzheimer's disease DOI Open Access
Andrea Vergallo, Lucile Mégret, Simone Lista

и другие.

Alzheimer s & Dementia, Год журнала: 2019, Номер 15(6), С. 764 - 775

Опубликована: Май 18, 2019

Abstract Introduction Blood‐based biomarkers of pathophysiological brain amyloid β (Aβ) accumulation, particularly for preclinical target and large‐scale interventions, are warranted to effectively enrich Alzheimer's disease clinical trials management. Methods We investigated whether plasma concentrations the Aβ 1–40 /Aβ 1–42 ratio, assessed using single‐molecule array (Simoa) immunoassay, may predict positron emission tomography status in a longitudinal monocentric cohort (N = 276) older individuals with subjective memory complaints. performed hypothesis‐driven investigation followed by no‐a‐priori hypothesis study machine learning. Results The receiver operating characteristic curve learning showed balanced accuracy 76.5% 81%, respectively, ratio. is not affected apolipoprotein E ( APOE ) ε4 allele, sex, or age. Discussion Our results encourage an independent validation confirm indication that via Simoa, improve future standard care trial design.

Язык: Английский

Neurotoxicity of polychlorinated biphenyls and related organohalogens DOI
Isaac N. Pessah, Pamela J. Lein,

Richard F. Seegal

и другие.

Acta Neuropathologica, Год журнала: 2019, Номер 138(3), С. 363 - 387

Опубликована: Апрель 11, 2019

Язык: Английский

Процитировано

175

An update on blood-based biomarkers for non-Alzheimer neurodegenerative disorders DOI
Nicholas J. Ashton, Abdul Hye, Anto P. Rajkumar

и другие.

Nature Reviews Neurology, Год журнала: 2020, Номер 16(5), С. 265 - 284

Опубликована: Апрель 22, 2020

Язык: Английский

Процитировано

162

Diagnostic biomarkers of Alzheimer’s disease: A state-of-the-art review DOI Creative Commons
Rita Khoury, Elias Ghossoub

Biomarkers in Neuropsychiatry, Год журнала: 2019, Номер 1, С. 100005 - 100005

Опубликована: Ноя. 13, 2019

In 2018, there was a recent shift towards biological definition of Alzheimer's disease (AD), based on biomarkers measured in vivo even before the onset clinical dementia symptoms. No single biomarker can by itself accurately diagnose AD. A combination assessed through imaging and cerebrospinal fluid (CSF) yields better diagnostic accuracy. Although amyloid PET CSF levels tau deposits are increasingly used AD trials to increase confidence enrolled subjects, routine use these settings is still premature because risk overdiagnosis, increased cost and/or invasiveness assessment method. Also, standardization measures across studies needed assure regulatory approval. Exploring novel beyond pathologies, their longitudinal change continnum important research avenues for future.

Язык: Английский

Процитировано

157

Biomarker Changes during 20 Years Preceding Alzheimer’s Disease DOI
Jianping Jia, Yuye Ning, Meiling Chen

и другие.

New England Journal of Medicine, Год журнала: 2024, Номер 390(8), С. 712 - 722

Опубликована: Фев. 21, 2024

Biomarker changes that occur in the period between normal cognition and diagnosis of sporadic Alzheimer's disease have not been extensively investigated longitudinal studies.

Язык: Английский

Процитировано

151

Plasma amyloid β 40/42 ratio predicts cerebral amyloidosis in cognitively normal individuals at risk for Alzheimer's disease DOI Open Access
Andrea Vergallo, Lucile Mégret, Simone Lista

и другие.

Alzheimer s & Dementia, Год журнала: 2019, Номер 15(6), С. 764 - 775

Опубликована: Май 18, 2019

Abstract Introduction Blood‐based biomarkers of pathophysiological brain amyloid β (Aβ) accumulation, particularly for preclinical target and large‐scale interventions, are warranted to effectively enrich Alzheimer's disease clinical trials management. Methods We investigated whether plasma concentrations the Aβ 1–40 /Aβ 1–42 ratio, assessed using single‐molecule array (Simoa) immunoassay, may predict positron emission tomography status in a longitudinal monocentric cohort (N = 276) older individuals with subjective memory complaints. performed hypothesis‐driven investigation followed by no‐a‐priori hypothesis study machine learning. Results The receiver operating characteristic curve learning showed balanced accuracy 76.5% 81%, respectively, ratio. is not affected apolipoprotein E ( APOE ) ε4 allele, sex, or age. Discussion Our results encourage an independent validation confirm indication that via Simoa, improve future standard care trial design.

Язык: Английский

Процитировано

147