2026-05-17T01:15:43Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/258682025-12-18T12:59:36Zcom_20.500.12105_19604com_20.500.12105_2051col_20.500.12105_19605

00925njm 22002777a 4500 dc Núñez, Estefanía author Gómez-Serrano, María author Calvo, Enrique author Bonzon-Kulichenko, Elena author Trevisan-Herraz, Marco author Rodríguez, José Manuel author García-Marqués, Fernando author Magni, Ricardo author Lara-Pezzi, Enrique author Martín-Ventura, José Luis author Camafeita, Emilio author Vázquez, Jesús author 2024-09-18 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. Biomedicines. 2024 Sep 18;12(9):2118. Biomedicines 39335631 https://hdl.handle.net/20.500.12105/25868 LC-MS/MS atherosclerosis clinical proteomics human plasma personalized medicine plasma proteomics A Multiplexed Quantitative Proteomics Approach to the Human Plasma Protein Signature.