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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...

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Autores principales: Battaglini, Denise, Al-Husinat, Lou’i, Normando, Ana Gabriela, Leme, Adriana Paes, Franchini, Kleber, Morales, Marcelo, Pelosi, Paolo, Rocco, Patricia RM
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
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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.
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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
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