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Comparative proteomic analysis of mustard lung as a complicated disease using systems biology approach
During Iraq-Iran conflict, chemical weapons, particularly SM gas, were used numerous times, whose aftereffects are still present. This study aimed to compare serum proteome in the chronic ML (n = 10) and HC (n = 10). TMT label-based quantitative proteomics was used to examine serums from two groups....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686120/ https://www.ncbi.nlm.nih.gov/pubmed/36419000 http://dx.doi.org/10.1186/s12890-022-02240-3 |
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author | Parvin, Shahram Arabfard, Masoud Ghazvini, Ali Ghanei, Mostafa Najafi, Ali |
author_facet | Parvin, Shahram Arabfard, Masoud Ghazvini, Ali Ghanei, Mostafa Najafi, Ali |
author_sort | Parvin, Shahram |
collection | PubMed |
description | During Iraq-Iran conflict, chemical weapons, particularly SM gas, were used numerous times, whose aftereffects are still present. This study aimed to compare serum proteome in the chronic ML (n = 10) and HC (n = 10). TMT label-based quantitative proteomics was used to examine serums from two groups. Among total significant proteins, 14 proteins were upregulated (log(2) ≥ FC 0.5, p 0.05), and 6 proteins were downregulated (log(2) ≤ FC − 0.5, p 0.05). By helping PPI network, and EA, 11 main pathways connected to significantly different protein expression levels were discovered, including inflammatory and cell adhesion signaling pathways. It may be deduced that the wounded organs of exposed individuals experience poor repair cycles of cell degeneration and regeneration because certain repair signals were elevated while other structural and adhesion molecules were downregulated. The systems biology approach can help enhance our basic knowledge of biological processes, and contribute to a deeper understanding of pathophysiological mechanisms, as well as the identification of potential biomarkers of disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-022-02240-3. |
format | Online Article Text |
id | pubmed-9686120 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96861202022-11-25 Comparative proteomic analysis of mustard lung as a complicated disease using systems biology approach Parvin, Shahram Arabfard, Masoud Ghazvini, Ali Ghanei, Mostafa Najafi, Ali BMC Pulm Med Research During Iraq-Iran conflict, chemical weapons, particularly SM gas, were used numerous times, whose aftereffects are still present. This study aimed to compare serum proteome in the chronic ML (n = 10) and HC (n = 10). TMT label-based quantitative proteomics was used to examine serums from two groups. Among total significant proteins, 14 proteins were upregulated (log(2) ≥ FC 0.5, p 0.05), and 6 proteins were downregulated (log(2) ≤ FC − 0.5, p 0.05). By helping PPI network, and EA, 11 main pathways connected to significantly different protein expression levels were discovered, including inflammatory and cell adhesion signaling pathways. It may be deduced that the wounded organs of exposed individuals experience poor repair cycles of cell degeneration and regeneration because certain repair signals were elevated while other structural and adhesion molecules were downregulated. The systems biology approach can help enhance our basic knowledge of biological processes, and contribute to a deeper understanding of pathophysiological mechanisms, as well as the identification of potential biomarkers of disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-022-02240-3. BioMed Central 2022-11-23 /pmc/articles/PMC9686120/ /pubmed/36419000 http://dx.doi.org/10.1186/s12890-022-02240-3 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 | Research Parvin, Shahram Arabfard, Masoud Ghazvini, Ali Ghanei, Mostafa Najafi, Ali Comparative proteomic analysis of mustard lung as a complicated disease using systems biology approach |
title | Comparative proteomic analysis of mustard lung as a complicated disease using systems biology approach |
title_full | Comparative proteomic analysis of mustard lung as a complicated disease using systems biology approach |
title_fullStr | Comparative proteomic analysis of mustard lung as a complicated disease using systems biology approach |
title_full_unstemmed | Comparative proteomic analysis of mustard lung as a complicated disease using systems biology approach |
title_short | Comparative proteomic analysis of mustard lung as a complicated disease using systems biology approach |
title_sort | comparative proteomic analysis of mustard lung as a complicated disease using systems biology approach |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686120/ https://www.ncbi.nlm.nih.gov/pubmed/36419000 http://dx.doi.org/10.1186/s12890-022-02240-3 |
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