Cargando…
Personalized medicine using omics approaches in acute respiratory distress syndrome to identify biological phenotypes
In the last decade, research on acute respiratory distress syndrome (ARDS) has made considerable progress. However, ARDS remains a leading cause of mortality in the intensive care unit. ARDS presents distinct subphenotypes with different clinical and biological features. The pathophysiologic mechani...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675217/ https://www.ncbi.nlm.nih.gov/pubmed/36403043 http://dx.doi.org/10.1186/s12931-022-02233-0 |
_version_ | 1784833323717099520 |
---|---|
author | Battaglini, Denise Al-Husinat, Lou’i Normando, Ana Gabriela Leme, Adriana Paes Franchini, Kleber Morales, Marcelo Pelosi, Paolo Rocco, Patricia RM |
author_facet | Battaglini, Denise Al-Husinat, Lou’i Normando, Ana Gabriela Leme, Adriana Paes Franchini, Kleber Morales, Marcelo Pelosi, Paolo Rocco, Patricia RM |
author_sort | Battaglini, Denise |
collection | PubMed |
description | In the last decade, research on acute respiratory distress syndrome (ARDS) has made considerable progress. However, ARDS remains a leading cause of mortality in the intensive care unit. ARDS presents distinct subphenotypes with different clinical and biological features. The pathophysiologic mechanisms of ARDS may contribute to the biological variability and partially explain why some pharmacologic therapies for ARDS have failed to improve patient outcomes. Therefore, identifying ARDS variability and heterogeneity might be a key strategy for finding effective treatments. Research involving studies on biomarkers and genomic, metabolomic, and proteomic technologies is increasing. These new approaches, which are dedicated to the identification and quantitative analysis of components from biological matrixes, may help differentiate between different types of damage and predict clinical outcome and risk. Omics technologies offer a new opportunity for the development of diagnostic tools and personalized therapy in ARDS. This narrative review assesses recent evidence regarding genomics, proteomics, and metabolomics in ARDS research. |
format | Online Article Text |
id | pubmed-9675217 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96752172022-11-20 Personalized medicine using omics approaches in acute respiratory distress syndrome to identify biological phenotypes Battaglini, Denise Al-Husinat, Lou’i Normando, Ana Gabriela Leme, Adriana Paes Franchini, Kleber Morales, Marcelo Pelosi, Paolo Rocco, Patricia RM Respir Res Review In the last decade, research on acute respiratory distress syndrome (ARDS) has made considerable progress. However, ARDS remains a leading cause of mortality in the intensive care unit. ARDS presents distinct subphenotypes with different clinical and biological features. The pathophysiologic mechanisms of ARDS may contribute to the biological variability and partially explain why some pharmacologic therapies for ARDS have failed to improve patient outcomes. Therefore, identifying ARDS variability and heterogeneity might be a key strategy for finding effective treatments. Research involving studies on biomarkers and genomic, metabolomic, and proteomic technologies is increasing. These new approaches, which are dedicated to the identification and quantitative analysis of components from biological matrixes, may help differentiate between different types of damage and predict clinical outcome and risk. Omics technologies offer a new opportunity for the development of diagnostic tools and personalized therapy in ARDS. This narrative review assesses recent evidence regarding genomics, proteomics, and metabolomics in ARDS research. BioMed Central 2022-11-19 2022 /pmc/articles/PMC9675217/ /pubmed/36403043 http://dx.doi.org/10.1186/s12931-022-02233-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Battaglini, Denise Al-Husinat, Lou’i Normando, Ana Gabriela Leme, Adriana Paes Franchini, Kleber Morales, Marcelo Pelosi, Paolo Rocco, Patricia RM Personalized medicine using omics approaches in acute respiratory distress syndrome to identify biological phenotypes |
title | Personalized medicine using omics approaches in acute respiratory distress syndrome to identify biological phenotypes |
title_full | Personalized medicine using omics approaches in acute respiratory distress syndrome to identify biological phenotypes |
title_fullStr | Personalized medicine using omics approaches in acute respiratory distress syndrome to identify biological phenotypes |
title_full_unstemmed | Personalized medicine using omics approaches in acute respiratory distress syndrome to identify biological phenotypes |
title_short | Personalized medicine using omics approaches in acute respiratory distress syndrome to identify biological phenotypes |
title_sort | personalized medicine using omics approaches in acute respiratory distress syndrome to identify biological phenotypes |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675217/ https://www.ncbi.nlm.nih.gov/pubmed/36403043 http://dx.doi.org/10.1186/s12931-022-02233-0 |
work_keys_str_mv | AT battaglinidenise personalizedmedicineusingomicsapproachesinacuterespiratorydistresssyndrometoidentifybiologicalphenotypes AT alhusinatloui personalizedmedicineusingomicsapproachesinacuterespiratorydistresssyndrometoidentifybiologicalphenotypes AT normandoanagabriela personalizedmedicineusingomicsapproachesinacuterespiratorydistresssyndrometoidentifybiologicalphenotypes AT lemeadrianapaes personalizedmedicineusingomicsapproachesinacuterespiratorydistresssyndrometoidentifybiologicalphenotypes AT franchinikleber personalizedmedicineusingomicsapproachesinacuterespiratorydistresssyndrometoidentifybiologicalphenotypes AT moralesmarcelo personalizedmedicineusingomicsapproachesinacuterespiratorydistresssyndrometoidentifybiologicalphenotypes AT pelosipaolo personalizedmedicineusingomicsapproachesinacuterespiratorydistresssyndrometoidentifybiologicalphenotypes AT roccopatriciarm personalizedmedicineusingomicsapproachesinacuterespiratorydistresssyndrometoidentifybiologicalphenotypes |