Cargando…
Identification of potential biomarkers and therapeutic targets for posttraumatic acute respiratory distress syndrome
BACKGROUND: Despite improved supportive care, posttraumatic acute respiratory distress syndrome (ARDS) mortality has improved very little in recent years. Additionally, ARDS diagnosis is delayed or missed in many patients. We analyzed co-differentially expressed genes (co-DEGs) to explore the relati...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012314/ https://www.ncbi.nlm.nih.gov/pubmed/36918848 http://dx.doi.org/10.1186/s12920-023-01482-2 |
_version_ | 1784906585747750912 |
---|---|
author | Qi, Peng Huang, Mengjie Li, Tanshi |
author_facet | Qi, Peng Huang, Mengjie Li, Tanshi |
author_sort | Qi, Peng |
collection | PubMed |
description | BACKGROUND: Despite improved supportive care, posttraumatic acute respiratory distress syndrome (ARDS) mortality has improved very little in recent years. Additionally, ARDS diagnosis is delayed or missed in many patients. We analyzed co-differentially expressed genes (co-DEGs) to explore the relationships between severe trauma and ARDS to reveal potential biomarkers and therapeutic targets for posttraumatic ARDS. METHODS: Two gene expression datasets (GSE64711 and GSE76293) were downloaded from the Gene Expression Omnibus. The GSE64711 dataset included a subset of 244 severely injured trauma patients and 21 healthy controls. GSE76293 specimens were collected from 12 patients with ARDS who were recruited from trauma intensive care units and 11 age- and sex-matched healthy volunteers. Trauma DEGs and ARDS DEGs were identified using the two datasets. Subsequently, Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and protein–protein interaction network analyses were performed to elucidate the molecular functions of the DEGs. Then, hub genes of the co-DEGs were identified. Finally, to explore whether posttraumatic ARDS and septic ARDS are common targets, we included a third dataset (GSE100159) for corresponding verification. RESULTS: 90 genes were upregulated and 48 genes were downregulated in the two datasets and were therefore named co-DEGs. These co-DEGs were significantly involved in multiple inflammation-, immunity- and neutrophil activation-related biological processes. Ten co-upregulated hub genes (GAPDH, MMP8, HGF, MAPK14, LCN2, CD163, ENO1, CD44, ARG1 and GADD45A) and five co-downregulated hub genes (HERC5, IFIT2, IFIT3, RSAD2 and IFIT1) may be considered potential biomarkers and therapeutic targets for posttraumatic ARDS. Through the verification of the third dataset, posttraumatic ARDS may have its own unique targets worthy of further exploration. CONCLUSION: This exploratory analysis supports a relationship between trauma and ARDS pathophysiology, specifically in relationship to the identified hub genes. These data may serve as potential biomarkers and therapeutic targets for posttraumatic ARDS. |
format | Online Article Text |
id | pubmed-10012314 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100123142023-03-14 Identification of potential biomarkers and therapeutic targets for posttraumatic acute respiratory distress syndrome Qi, Peng Huang, Mengjie Li, Tanshi BMC Med Genomics Research BACKGROUND: Despite improved supportive care, posttraumatic acute respiratory distress syndrome (ARDS) mortality has improved very little in recent years. Additionally, ARDS diagnosis is delayed or missed in many patients. We analyzed co-differentially expressed genes (co-DEGs) to explore the relationships between severe trauma and ARDS to reveal potential biomarkers and therapeutic targets for posttraumatic ARDS. METHODS: Two gene expression datasets (GSE64711 and GSE76293) were downloaded from the Gene Expression Omnibus. The GSE64711 dataset included a subset of 244 severely injured trauma patients and 21 healthy controls. GSE76293 specimens were collected from 12 patients with ARDS who were recruited from trauma intensive care units and 11 age- and sex-matched healthy volunteers. Trauma DEGs and ARDS DEGs were identified using the two datasets. Subsequently, Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and protein–protein interaction network analyses were performed to elucidate the molecular functions of the DEGs. Then, hub genes of the co-DEGs were identified. Finally, to explore whether posttraumatic ARDS and septic ARDS are common targets, we included a third dataset (GSE100159) for corresponding verification. RESULTS: 90 genes were upregulated and 48 genes were downregulated in the two datasets and were therefore named co-DEGs. These co-DEGs were significantly involved in multiple inflammation-, immunity- and neutrophil activation-related biological processes. Ten co-upregulated hub genes (GAPDH, MMP8, HGF, MAPK14, LCN2, CD163, ENO1, CD44, ARG1 and GADD45A) and five co-downregulated hub genes (HERC5, IFIT2, IFIT3, RSAD2 and IFIT1) may be considered potential biomarkers and therapeutic targets for posttraumatic ARDS. Through the verification of the third dataset, posttraumatic ARDS may have its own unique targets worthy of further exploration. CONCLUSION: This exploratory analysis supports a relationship between trauma and ARDS pathophysiology, specifically in relationship to the identified hub genes. These data may serve as potential biomarkers and therapeutic targets for posttraumatic ARDS. BioMed Central 2023-03-14 /pmc/articles/PMC10012314/ /pubmed/36918848 http://dx.doi.org/10.1186/s12920-023-01482-2 Text en © The Author(s) 2023 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 | Research Qi, Peng Huang, Mengjie Li, Tanshi Identification of potential biomarkers and therapeutic targets for posttraumatic acute respiratory distress syndrome |
title | Identification of potential biomarkers and therapeutic targets for posttraumatic acute respiratory distress syndrome |
title_full | Identification of potential biomarkers and therapeutic targets for posttraumatic acute respiratory distress syndrome |
title_fullStr | Identification of potential biomarkers and therapeutic targets for posttraumatic acute respiratory distress syndrome |
title_full_unstemmed | Identification of potential biomarkers and therapeutic targets for posttraumatic acute respiratory distress syndrome |
title_short | Identification of potential biomarkers and therapeutic targets for posttraumatic acute respiratory distress syndrome |
title_sort | identification of potential biomarkers and therapeutic targets for posttraumatic acute respiratory distress syndrome |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012314/ https://www.ncbi.nlm.nih.gov/pubmed/36918848 http://dx.doi.org/10.1186/s12920-023-01482-2 |
work_keys_str_mv | AT qipeng identificationofpotentialbiomarkersandtherapeutictargetsforposttraumaticacuterespiratorydistresssyndrome AT huangmengjie identificationofpotentialbiomarkersandtherapeutictargetsforposttraumaticacuterespiratorydistresssyndrome AT litanshi identificationofpotentialbiomarkersandtherapeutictargetsforposttraumaticacuterespiratorydistresssyndrome |