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

et al.

Alzheimer s & Dementia, Journal Year: 2019, Volume and Issue: 15(6), P. 764 - 775

Published: May 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.

Language: Английский

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

Richard F. Seegal

et al.

Acta Neuropathologica, Journal Year: 2019, Volume and Issue: 138(3), P. 363 - 387

Published: April 11, 2019

Language: Английский

Citations

175

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

et al.

Nature Reviews Neurology, Journal Year: 2020, Volume and Issue: 16(5), P. 265 - 284

Published: April 22, 2020

Language: Английский

Citations

162

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

Biomarkers in Neuropsychiatry, Journal Year: 2019, Volume and Issue: 1, P. 100005 - 100005

Published: Nov. 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.

Language: Английский

Citations

157

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

et al.

New England Journal of Medicine, Journal Year: 2024, Volume and Issue: 390(8), P. 712 - 722

Published: Feb. 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.

Language: Английский

Citations

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

et al.

Alzheimer s & Dementia, Journal Year: 2019, Volume and Issue: 15(6), P. 764 - 775

Published: May 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.

Language: Английский

Citations

147