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

Research output: Contribution to journal › Review › Research › peer-review

Standard

A unified classification approach rating clinical utility of protein biomarkers across neurologic diseases. / Bernhardt, Alexander M.; Tiedt, Steffen; Teupser, Daniel; Dichgans, Martin; Meyer, Bernhard; Gempt, Jens; Kuhn, Peer Hendrik; Simons, Mikael; Palleis, Carla; Weidinger, Endy; Nübling, Georg; Holdt, Lesca; Hönikl, Lisa; Gasperi, Christiane; Giesbertz, Pieter; Müller, Stephan A.; Breimann, Stephan; Lichtenthaler, Stefan F.; Kuster, Bernhard; Mann, Matthias; Imhof, Axel; Barth, Teresa; Hauck, Stefanie M.; Zetterberg, Henrik; Otto, Markus; Weichert, Wilko; Hemmer, Bernhard; Levin, Johannes.

In: EBioMedicine, Vol. 89, 104456, 2023.

Research output: Contribution to journal › Review › Research › peer-review

Harvard

Bernhardt, AM, Tiedt, S, Teupser, D, Dichgans, M, Meyer, B, Gempt, J, Kuhn, PH, Simons, M, Palleis, C, Weidinger, E, Nübling, G, Holdt, L, Hönikl, L, Gasperi, C, Giesbertz, P, Müller, SA, Breimann, S, Lichtenthaler, SF, Kuster, B, Mann, M, Imhof, A, Barth, T, Hauck, SM, Zetterberg, H, Otto, M, Weichert, W, Hemmer, B & Levin, J 2023, 'A unified classification approach rating clinical utility of protein biomarkers across neurologic diseases', EBioMedicine, vol. 89, 104456. https://doi.org/10.1016/j.ebiom.2023.104456

APA

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., ... Levin, J. (2023). A unified classification approach rating clinical utility of protein biomarkers across neurologic diseases. EBioMedicine, 89, [104456]. https://doi.org/10.1016/j.ebiom.2023.104456

Vancouver

Bernhardt AM, Tiedt S, Teupser D, Dichgans M, Meyer B, Gempt J et al. A unified classification approach rating clinical utility of protein biomarkers across neurologic diseases. EBioMedicine. 2023;89. 104456. https://doi.org/10.1016/j.ebiom.2023.104456

Author

Bernhardt, Alexander M. ; Tiedt, Steffen ; Teupser, Daniel ; Dichgans, Martin ; Meyer, Bernhard ; Gempt, Jens ; Kuhn, Peer Hendrik ; Simons, Mikael ; Palleis, Carla ; Weidinger, Endy ; Nübling, Georg ; Holdt, Lesca ; Hönikl, Lisa ; Gasperi, Christiane ; Giesbertz, Pieter ; Müller, Stephan A. ; Breimann, Stephan ; Lichtenthaler, Stefan F. ; Kuster, Bernhard ; Mann, Matthias ; Imhof, Axel ; Barth, Teresa ; Hauck, Stefanie M. ; Zetterberg, Henrik ; Otto, Markus ; Weichert, Wilko ; Hemmer, Bernhard ; Levin, Johannes. / A unified classification approach rating clinical utility of protein biomarkers across neurologic diseases. In: EBioMedicine. 2023 ; Vol. 89.

Bibtex

@article{7f733aded9f247a380334c0d04ca1523,
title = "A unified classification approach rating clinical utility of protein biomarkers across neurologic diseases",
abstract = "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.",
keywords = "Analytical validity, Biomarker, Clinical utility, Neurology, Protein, Proteomics",
author = "Bernhardt, {Alexander M.} and Steffen Tiedt and Daniel Teupser and Martin Dichgans and Bernhard Meyer and Jens Gempt and Kuhn, {Peer Hendrik} and Mikael Simons and Carla Palleis and Endy Weidinger and Georg N{\"u}bling and Lesca Holdt and Lisa H{\"o}nikl and Christiane Gasperi and Pieter Giesbertz and M{\"u}ller, {Stephan A.} and Stephan Breimann and Lichtenthaler, {Stefan F.} and Bernhard Kuster and Matthias Mann and Axel Imhof and Teresa Barth and Hauck, {Stefanie M.} and Henrik Zetterberg and Markus Otto and Wilko Weichert and Bernhard Hemmer and Johannes Levin",
note = "Publisher Copyright: {\textcopyright} 2023 The Author(s)",
year = "2023",
doi = "10.1016/j.ebiom.2023.104456",
language = "English",
volume = "89",
journal = "EBioMedicine",
issn = "2352-3964",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - A unified classification approach rating clinical utility of protein biomarkers across neurologic diseases

AU - Bernhardt, Alexander M.

AU - Tiedt, Steffen

AU - Teupser, Daniel

AU - Dichgans, Martin

AU - Meyer, Bernhard

AU - Gempt, Jens

AU - Kuhn, Peer Hendrik

AU - Simons, Mikael

AU - Palleis, Carla

AU - Weidinger, Endy

AU - Nübling, Georg

AU - Holdt, Lesca

AU - Hönikl, Lisa

AU - Gasperi, Christiane

AU - Giesbertz, Pieter

AU - Müller, Stephan A.

AU - Breimann, Stephan

AU - Lichtenthaler, Stefan F.

AU - Kuster, Bernhard

AU - Mann, Matthias

AU - Imhof, Axel

AU - Barth, Teresa

AU - Hauck, Stefanie M.

AU - Zetterberg, Henrik

AU - Otto, Markus

AU - Weichert, Wilko

AU - Hemmer, Bernhard

AU - Levin, Johannes

N1 - Publisher Copyright: © 2023 The Author(s)

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Analytical validity

KW - Biomarker

KW - Clinical utility

KW - Neurology

KW - Protein

KW - Proteomics

U2 - 10.1016/j.ebiom.2023.104456

DO - 10.1016/j.ebiom.2023.104456

M3 - Review

C2 - 36745974

AN - SCOPUS:85147819736

VL - 89

JO - EBioMedicine

JF - EBioMedicine

SN - 2352-3964

M1 - 104456

ER -

ID: 337587441