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A unified classification approach rating clinical utility of protein biomarkers across neurologic diseases

Authors :
Alexander M. Bernhardt
Steffen Tiedt
Daniel Teupser
Martin Dichgans
Bernhard Meyer
Jens Gempt
Peer-Hendrik Kuhn
Mikael Simons
Carla Palleis
Endy Weidinger
Georg Nübling
Lesca Holdt
Lisa Hönikl
Christiane Gasperi
Pieter Giesbertz
Stephan A. Müller
Stephan Breimann
Stefan F. Lichtenthaler
Bernhard Kuster
Matthias Mann
Axel Imhof
Teresa Barth
Stefanie M. Hauck
Henrik Zetterberg
Markus Otto
Wilko Weichert
Bernhard Hemmer
Johannes Levin
Source :
EBioMedicine, Vol 89, Iss , Pp 104456- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Summary: A major evolution from purely clinical diagnoses to biomarker supported clinical diagnosing has been occurring over the past years in neurology. High-throughput methods, such as next-generation sequencing and mass spectrometry-based proteomics along with improved neuroimaging methods, are accelerating this development. This calls for a consensus framework that is broadly applicable and provides a spot-on overview of the clinical validity of novel biomarkers. We propose a harmonized terminology and a uniform concept that stratifies biomarkers according to clinical context of use and evidence levels, adapted from existing frameworks in oncology with a strong focus on (epi)genetic markers and treatment context. We demonstrate that this framework allows for a consistent assessment of clinical validity across disease entities and that sufficient evidence for many clinical applications of protein biomarkers is lacking. Our framework may help to identify promising biomarker candidates and classify their applications by clinical context, aiming for routine clinical use of (protein) biomarkers in neurology.

Details

Language :
English
ISSN :
23523964
Volume :
89
Issue :
104456-
Database :
Directory of Open Access Journals
Journal :
EBioMedicine
Publication Type :
Academic Journal
Accession number :
edsdoj.4764cc70fd42139d3232a5510941b4
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ebiom.2023.104456