Methods to Discover and Validate Biofluid-Based Biomarkers in Neurodegenerative Dementias

Charlotte E. Teunissen*, Leighann Kimble, Sherif Bayoumy, Katharina Bolsewig, Felicia Burtscher, Salomé Coppens, Shreyasee Das, Dea Gogishvili, Bárbara Fernandes Gomes, Nerea Gómez de San José, Ekaterina Mavrina, Francisco J. Meda, Pablo Mohaupt, Sára Mravinacová, Katharina Waury, Anna Lidia Wojdała, Sanne Abeln, Davide Chiasserini, Christophe Hirtz, Lorenzo GaetaniLisa Vermunt, Giovanni Bellomo, Steffen Halbgebauer, Sylvain Lehmann, Anna Månberg, Peter Nilsson, Markus Otto, Eugeen Vanmechelen, Inge M.W. Verberk, Eline Willemse, Henrik Zetterberg

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review


Neurodegenerative dementias are progressive diseases that cause neuronal network breakdown in different brain regions often because of accumulation of misfolded proteins in the brain extracellular matrix, such as amyloids or inside neurons or other cell types of the brain. Several diagnostic protein biomarkers in body fluids are being used and implemented, such as for Alzheimer’s disease. However, there is still a lack of biomarkers for co-pathologies and other causes of dementia. Such biofluidbased biomarkers enable precision medicine approaches for diagnosis and treatment, allow to learn more about underlying disease processes, and facilitate the development of patient inclusion and evaluation tools in clinical trials. When designing studies to discover novel biofluidbased biomarkers, choice of technology is an important starting point. But there are so many technologies to choose among. To address this, we here review the technologies that are currently available in research settings and, in some cases, in clinical laboratory practice. This presents a form of lexicon on each technology addressing its use in research and clinics, its strengths and limitations, and a future perspective.

Original languageEnglish
Article number100629
JournalMolecular and Cellular Proteomics
Issue number10
Publication statusPublished - Oct 2023


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