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Integrative proteomic profiling of lung tissues and blood in acute respiratory distress syndrome
INTRODUCTION: Acute respiratory distress syndrome and acute lung injury (ARDS/ALI) still lack a recognized diagnostic test and pharmacologic treatments that target the underlying pathology. METHODS: To explore the sensitive non-invasive biomarkers associated with pathological changes in the lung of...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10184823/ https://www.ncbi.nlm.nih.gov/pubmed/37197655 http://dx.doi.org/10.3389/fimmu.2023.1158951 |
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author | Gong, Rui Luo, Hong Long, Gangyu Xu, Jiqian Huang, Chaolin Zhou, Xin Shang, You Zhang, Dingyu |
author_facet | Gong, Rui Luo, Hong Long, Gangyu Xu, Jiqian Huang, Chaolin Zhou, Xin Shang, You Zhang, Dingyu |
author_sort | Gong, Rui |
collection | PubMed |
description | INTRODUCTION: Acute respiratory distress syndrome and acute lung injury (ARDS/ALI) still lack a recognized diagnostic test and pharmacologic treatments that target the underlying pathology. METHODS: To explore the sensitive non-invasive biomarkers associated with pathological changes in the lung of direct ARDS/ALI, we performed an integrative proteomic analysis of lung and blood samples from lipopolysaccharide (LPS)-induced ARDS mice and COVID-19-related ARDS patients. The common differentially expressed proteins (DEPs) were identified based on combined proteomic analysis of serum and lung samples in direct ARDS mice model. The clinical value of the common DEPs was validated in lung and plasma proteomics in cases of COVID-19-related ARDS. RESULTS: We identified 368 DEPs in serum and 504 in lung samples from LPS-induced ARDS mice. Gene ontology (GO) classification and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that these DEPs in lung tissues were primarily enriched in pathways, including IL-17 and B cell receptor signaling pathways, and the response to stimuli. In contrast, DEPs in the serum were mostly involved in metabolic pathways and cellular processes. Through network analysis of protein-protein interactions (PPI), we identified diverse clusters of DEPs in the lung and serum samples. We further identified 50 commonly upregulated and 10 commonly downregulated DEPs in the lung and serum samples. Internal validation with a parallel-reacted monitor (PRM) and external validation in the Gene Expression Omnibus (GEO) datasets further showed these confirmed DEPs. We then validated these proteins in the proteomics of patients with ARDS and identified six proteins (HP, LTA4H, S100A9, SAA1, SAA2, and SERPINA3) with good clinical diagnostic and prognostic value. DISCUSSION: These proteins can be viewed as sensitive and non-invasive biomarkers associated with lung pathological changes in the blood and could potentially serve as targets for the early detection and treatment of direct ARDS especially in hyperinflammatory subphenotype. |
format | Online Article Text |
id | pubmed-10184823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101848232023-05-16 Integrative proteomic profiling of lung tissues and blood in acute respiratory distress syndrome Gong, Rui Luo, Hong Long, Gangyu Xu, Jiqian Huang, Chaolin Zhou, Xin Shang, You Zhang, Dingyu Front Immunol Immunology INTRODUCTION: Acute respiratory distress syndrome and acute lung injury (ARDS/ALI) still lack a recognized diagnostic test and pharmacologic treatments that target the underlying pathology. METHODS: To explore the sensitive non-invasive biomarkers associated with pathological changes in the lung of direct ARDS/ALI, we performed an integrative proteomic analysis of lung and blood samples from lipopolysaccharide (LPS)-induced ARDS mice and COVID-19-related ARDS patients. The common differentially expressed proteins (DEPs) were identified based on combined proteomic analysis of serum and lung samples in direct ARDS mice model. The clinical value of the common DEPs was validated in lung and plasma proteomics in cases of COVID-19-related ARDS. RESULTS: We identified 368 DEPs in serum and 504 in lung samples from LPS-induced ARDS mice. Gene ontology (GO) classification and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that these DEPs in lung tissues were primarily enriched in pathways, including IL-17 and B cell receptor signaling pathways, and the response to stimuli. In contrast, DEPs in the serum were mostly involved in metabolic pathways and cellular processes. Through network analysis of protein-protein interactions (PPI), we identified diverse clusters of DEPs in the lung and serum samples. We further identified 50 commonly upregulated and 10 commonly downregulated DEPs in the lung and serum samples. Internal validation with a parallel-reacted monitor (PRM) and external validation in the Gene Expression Omnibus (GEO) datasets further showed these confirmed DEPs. We then validated these proteins in the proteomics of patients with ARDS and identified six proteins (HP, LTA4H, S100A9, SAA1, SAA2, and SERPINA3) with good clinical diagnostic and prognostic value. DISCUSSION: These proteins can be viewed as sensitive and non-invasive biomarkers associated with lung pathological changes in the blood and could potentially serve as targets for the early detection and treatment of direct ARDS especially in hyperinflammatory subphenotype. Frontiers Media S.A. 2023-05-01 /pmc/articles/PMC10184823/ /pubmed/37197655 http://dx.doi.org/10.3389/fimmu.2023.1158951 Text en Copyright © 2023 Gong, Luo, Long, Xu, Huang, Zhou, Shang and Zhang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Gong, Rui Luo, Hong Long, Gangyu Xu, Jiqian Huang, Chaolin Zhou, Xin Shang, You Zhang, Dingyu Integrative proteomic profiling of lung tissues and blood in acute respiratory distress syndrome |
title | Integrative proteomic profiling of lung tissues and blood in acute respiratory distress syndrome |
title_full | Integrative proteomic profiling of lung tissues and blood in acute respiratory distress syndrome |
title_fullStr | Integrative proteomic profiling of lung tissues and blood in acute respiratory distress syndrome |
title_full_unstemmed | Integrative proteomic profiling of lung tissues and blood in acute respiratory distress syndrome |
title_short | Integrative proteomic profiling of lung tissues and blood in acute respiratory distress syndrome |
title_sort | integrative proteomic profiling of lung tissues and blood in acute respiratory distress syndrome |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10184823/ https://www.ncbi.nlm.nih.gov/pubmed/37197655 http://dx.doi.org/10.3389/fimmu.2023.1158951 |
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