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Bernhardt, A.M.* ; Tiedt, S.* ; Teupser, D.* ; Dichgans, M.* ; Meyer, B.* ; Gempt, J.* ; Kuhn, P.H.* ; Simons, M.* ; Palleis, C.* ; Weidinger, E.* ; Nübling, G.* ; Holdt, L.* ; Hönikl, L.* ; Gasperi, C.* ; Giesbertz, P.* ; Müller, S.A.* ; Breimann, S.* ; Lichtenthaler, S.F.* ; Kuster, B.* ; Mann, M.* ; Imhof, A.* ; Barth, T.* ; Hauck, S.M. ; Zetterberg, H.* ; Otto, M.* ; Weichert, W.* ; Hemmer, B.* ; Levin, J.*

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

EBioMedicine 89:104456 (2023)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Korrespondenzautor
Schlagwörter Analytical Validity ; Biomarker ; Clinical Utility ; Neurology ; Protein ; Proteomics; Fibrillary Acidic Protein; Alzheimers-disease; Cerebrospinal-fluid; Multiple-sclerosis; Alpha-synuclein; Neurofilament Light; Serum Biomarkers; Diagnosis; Csf; Marker
ISSN (print) / ISBN 2352-3964
e-ISSN 2352-3964
Zeitschrift EBioMedicine
Quellenangaben Band: 89, Heft: , Seiten: , Artikelnummer: 104456 Supplement: ,
Verlag Elsevier
Verlagsort Amsterdam [u.a.]
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) CF Metabolomics & Proteomics (CF-MPC)
Förderungen Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
Munich Cluster for Systems Neurology
BMBF