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Clinical Peptidomics: Advances in Instrumentation, Analyses, and Applications
Extensive effort has been devoted to the discovery, development, and validation of biomarkers for early disease diagnosis and prognosis as well as rapid evaluation of the response to therapeutic interventions. Genomic and transcriptomic profiling are well-established means to identify disease-associ...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AAAS
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521655/ https://www.ncbi.nlm.nih.gov/pubmed/37849662 http://dx.doi.org/10.34133/bmef.0019 |
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author | Li, Lin Wu, Jing Lyon, Christopher J. Jiang, Li Hu, Tony Y. |
author_facet | Li, Lin Wu, Jing Lyon, Christopher J. Jiang, Li Hu, Tony Y. |
author_sort | Li, Lin |
collection | PubMed |
description | Extensive effort has been devoted to the discovery, development, and validation of biomarkers for early disease diagnosis and prognosis as well as rapid evaluation of the response to therapeutic interventions. Genomic and transcriptomic profiling are well-established means to identify disease-associated biomarkers. However, analysis of disease-associated peptidomes can also identify novel peptide biomarkers or signatures that provide sensitive and specific diagnostic and prognostic information for specific malignant, chronic, and infectious diseases. Growing evidence also suggests that peptidomic changes in liquid biopsies may more effectively detect changes in disease pathophysiology than other molecular methods. Knowledge gained from peptide-based diagnostic, therapeutic, and imaging approaches has led to promising new theranostic applications that can increase their bioavailability in target tissues at reduced doses to decrease side effects and improve treatment responses. However, despite major advances, multiple factors can still affect the utility of peptidomic data. This review summarizes several remaining challenges that affect peptide biomarker discovery and their use as diagnostics, with a focus on technological advances that can improve the detection, identification, and monitoring of peptide biomarkers for personalized medicine. |
format | Online Article Text |
id | pubmed-10521655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | AAAS |
record_format | MEDLINE/PubMed |
spelling | pubmed-105216552023-10-17 Clinical Peptidomics: Advances in Instrumentation, Analyses, and Applications Li, Lin Wu, Jing Lyon, Christopher J. Jiang, Li Hu, Tony Y. BME Front Review Article Extensive effort has been devoted to the discovery, development, and validation of biomarkers for early disease diagnosis and prognosis as well as rapid evaluation of the response to therapeutic interventions. Genomic and transcriptomic profiling are well-established means to identify disease-associated biomarkers. However, analysis of disease-associated peptidomes can also identify novel peptide biomarkers or signatures that provide sensitive and specific diagnostic and prognostic information for specific malignant, chronic, and infectious diseases. Growing evidence also suggests that peptidomic changes in liquid biopsies may more effectively detect changes in disease pathophysiology than other molecular methods. Knowledge gained from peptide-based diagnostic, therapeutic, and imaging approaches has led to promising new theranostic applications that can increase their bioavailability in target tissues at reduced doses to decrease side effects and improve treatment responses. However, despite major advances, multiple factors can still affect the utility of peptidomic data. This review summarizes several remaining challenges that affect peptide biomarker discovery and their use as diagnostics, with a focus on technological advances that can improve the detection, identification, and monitoring of peptide biomarkers for personalized medicine. AAAS 2023-05-15 /pmc/articles/PMC10521655/ /pubmed/37849662 http://dx.doi.org/10.34133/bmef.0019 Text en Copyright © 2023 Lin Li et al. https://creativecommons.org/licenses/by/4.0/Exclusive licensee Suzhou Institute of Biomedical Engineering and Technology, CAS. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Article Li, Lin Wu, Jing Lyon, Christopher J. Jiang, Li Hu, Tony Y. Clinical Peptidomics: Advances in Instrumentation, Analyses, and Applications |
title | Clinical Peptidomics: Advances in Instrumentation, Analyses, and Applications |
title_full | Clinical Peptidomics: Advances in Instrumentation, Analyses, and Applications |
title_fullStr | Clinical Peptidomics: Advances in Instrumentation, Analyses, and Applications |
title_full_unstemmed | Clinical Peptidomics: Advances in Instrumentation, Analyses, and Applications |
title_short | Clinical Peptidomics: Advances in Instrumentation, Analyses, and Applications |
title_sort | clinical peptidomics: advances in instrumentation, analyses, and applications |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521655/ https://www.ncbi.nlm.nih.gov/pubmed/37849662 http://dx.doi.org/10.34133/bmef.0019 |
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