A Multiplexed Quantitative Proteomics Approach to the Human Plasma Protein Signature
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 hav...
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MDPI AG
2024-09-01
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| Online Access: | https://www.mdpi.com/2227-9059/12/9/2118 |
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| author | Estefanía Núñez María Gómez-Serrano Enrique Calvo Elena Bonzon-Kulichenko Marco Trevisan-Herraz José Manuel Rodríguez Fernando García-Marqués Ricardo Magni Enrique Lara-Pezzi José Luis Martín-Ventura Emilio Camafeita Jesús Vázquez |
| author_facet | Estefanía Núñez María Gómez-Serrano Enrique Calvo Elena Bonzon-Kulichenko Marco Trevisan-Herraz José Manuel Rodríguez Fernando García-Marqués Ricardo Magni Enrique Lara-Pezzi José Luis Martín-Ventura Emilio Camafeita Jesús Vázquez |
| author_sort | Estefanía Núñez |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-972f69291add44d08d293c3d771de98a |
| institution | OA Journals |
| issn | 2227-9059 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biomedicines |
| spelling | doaj-art-972f69291add44d08d293c3d771de98a2025-08-20T01:56:00ZengMDPI AGBiomedicines2227-90592024-09-01129211810.3390/biomedicines12092118A Multiplexed Quantitative Proteomics Approach to the Human Plasma Protein SignatureEstefanía Núñez0María Gómez-Serrano1Enrique Calvo2Elena Bonzon-Kulichenko3Marco Trevisan-Herraz4José Manuel Rodríguez5Fernando García-Marqués6Ricardo Magni7Enrique Lara-Pezzi8José Luis Martín-Ventura9Emilio Camafeita10Jesús Vázquez11Centro Nacional de Investigaciones Cardiovasculares Carlos III, 28029 Madrid, SpainInstitute for Tumor Immunology, Center for Tumor Biology and Immunology (ZTI), Philipps University, 35043 Marburg, GermanyCentro Nacional de Investigaciones Cardiovasculares Carlos III, 28029 Madrid, SpainCentro Nacional de Investigaciones Cardiovasculares Carlos III, 28029 Madrid, SpainInternational Center for Life, Newcastle University, Newcastle upon Tyne NE1 4EP, UKCentro Nacional de Investigaciones Cardiovasculares Carlos III, 28029 Madrid, SpainCanary Center for Cancer Early Detection, Stanford, CA 94304, USACentro Nacional de Investigaciones Cardiovasculares Carlos III, 28029 Madrid, SpainCentro Nacional de Investigaciones Cardiovasculares Carlos III, 28029 Madrid, SpainCIBER de Enfermedades Cardiovasculares (CIBERCV), 28029 Madrid, SpainCentro Nacional de Investigaciones Cardiovasculares Carlos III, 28029 Madrid, SpainCentro Nacional de Investigaciones Cardiovasculares Carlos III, 28029 Madrid, SpainDespite 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.https://www.mdpi.com/2227-9059/12/9/2118LC-MS/MShuman plasmaplasma proteomicsclinical proteomicsatherosclerosispersonalized medicine |
| spellingShingle | Estefanía Núñez María Gómez-Serrano Enrique Calvo Elena Bonzon-Kulichenko Marco Trevisan-Herraz José Manuel Rodríguez Fernando García-Marqués Ricardo Magni Enrique Lara-Pezzi José Luis Martín-Ventura Emilio Camafeita Jesús Vázquez A Multiplexed Quantitative Proteomics Approach to the Human Plasma Protein Signature Biomedicines LC-MS/MS human plasma plasma proteomics clinical proteomics atherosclerosis personalized medicine |
| title | A Multiplexed Quantitative Proteomics Approach to the Human Plasma Protein Signature |
| title_full | A Multiplexed Quantitative Proteomics Approach to the Human Plasma Protein Signature |
| title_fullStr | A Multiplexed Quantitative Proteomics Approach to the Human Plasma Protein Signature |
| title_full_unstemmed | A Multiplexed Quantitative Proteomics Approach to the Human Plasma Protein Signature |
| title_short | A Multiplexed Quantitative Proteomics Approach to the Human Plasma Protein Signature |
| title_sort | multiplexed quantitative proteomics approach to the human plasma protein signature |
| topic | LC-MS/MS human plasma plasma proteomics clinical proteomics atherosclerosis personalized medicine |
| url | https://www.mdpi.com/2227-9059/12/9/2118 |
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