Browse by author
Lookup NU author(s): Dr Marco Trevisan-HerrazORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2024 by the authors.Despite the plasma proteome being able to provide a unique insight into the health and disease status of individuals, holding singular promise as a source of protein biomarkers that could be pivotal in the context of personalized medicine, only around 100 proteins covering a few human conditions have been approved as biomarkers by the US Food and Drug Administration (FDA) so far. Mass spectrometry (MS) currently has enormous potential for high-throughput analysis in clinical research; however, plasma proteomics remains challenging mainly due to the wide dynamic range of plasma protein abundances and the time-consuming procedures required. We applied a new MS-based multiplexed proteomics workflow to quantitate proteins, encompassing 67 FDA-approved biomarkers, in >1300 human plasma samples from a clinical cohort. Our results indicate that this workflow is suitable for large-scale clinical studies, showing good accuracy and reproducibility (coefficient of variation (CV) < 20 for 90% of the proteins). Furthermore, we identified plasma signature proteins (stable in time on an individual basis), stable proteins (exhibiting low biological variability and high temporal stability), and highly variable proteins (with low temporal stability) that can be used for personalized health monitoring and medicine.
Author(s): Nunez E, Gomez-Serrano M, Calvo E, Bonzon-Kulichenko E, Trevisan-Herraz M, Rodriguez JM, Garcia-Marques F, Magni R, Lara-Pezzi E, Martin-Ventura JL, Camafeita E, Vazquez J
Publication type: Article
Publication status: Published
Journal: Biomedicines
Year: 2024
Volume: 12
Issue: 9
Online publication date: 18/09/2024
Acceptance date: 09/09/2024
Date deposited: 07/10/2024
ISSN (electronic): 2227-9059
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
URL: https://doi.org/10.3390/biomedicines12092118
DOI: 10.3390/biomedicines12092118
Data Access Statement: MS raw data have been deposited in Peptide Atlas (http://www. peptideatlas.org/PASS/PASS01382 and http://www.peptideatlas.org/PASS/PASS01522, accessed on 17 August 2024.
Altmetrics provided by Altmetric
