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Serum Proteomic Profiling in Patients with Chronic Obstructive Pulmonary Disease

PURPOSE: Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease with high morbidity and mortality rates. This study used proteomic profiling of serum to identify the differentially expressed proteins in COPD patients compared with healthy controls, to expand the knowledge of COPD pa...

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Autores principales: Wu, Sinan, Huang, Ke, Chang, Chenli, Chu, Xu, Zhang, Kun, Li, Baicun, Yang, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10392904/
https://www.ncbi.nlm.nih.gov/pubmed/37533772
http://dx.doi.org/10.2147/COPD.S413924
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author Wu, Sinan
Huang, Ke
Chang, Chenli
Chu, Xu
Zhang, Kun
Li, Baicun
Yang, Ting
author_facet Wu, Sinan
Huang, Ke
Chang, Chenli
Chu, Xu
Zhang, Kun
Li, Baicun
Yang, Ting
author_sort Wu, Sinan
collection PubMed
description PURPOSE: Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease with high morbidity and mortality rates. This study used proteomic profiling of serum to identify the differentially expressed proteins in COPD patients compared with healthy controls, to expand the knowledge of COPD pathogenesis and to ascertain potential new targets for diagnosis and treatment of COPD. METHODS: Serum samples were collected from 56 participants (COPD group n = 28; Healthy Control group n = 28). A data-independent acquisition quantitative proteomics approach was used to identify differentially expressed proteins (DEPs) between the two groups. Gene Ontology (GO) functional annotation, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway functional enrichment, and protein–protein interaction analyses of DEPs were conducted to identify their relevant biological processes, cellular components, and related pathways. We used a parallel reaction monitoring (PRM)-based targeted quantitative proteomics approach to validate those findings. RESULTS: Of 8484 peptides identified by searching the UniProtKB/Swiss-Prot knowledgebase, 867 proteins were quantifiable, of which 20 were upregulated and 35 were downregulated in the COPD group. GO functional annotation indicated that the subcellular localization of most DEPs was extracellular. The top three molecular functions of the DEPs were signaling receptor binding, antigen binding, and immunoglobulin receptor binding. The most relevant biological process was immune response. The transforming growth factor-β signaling pathway, Staphylococcus aureus infection, and hematopoietic cell lineage were the top three pathways identified in the KEGG pathway functional enrichment. Our PRM analyses confirmed the identification of 11 DEPs identified in our data-independent acquisition analyses, 8 DEPs were upregulated and 3 DEPs were downregulated. CONCLUSION: This study using data-independent acquisition analyses with PRM confirmation of findings identified 11 DEPs in the serum of patients with COPD. These DEPs are potential diagnostic or prognostic biomarkers or may be future targets for the treatment of COPD.
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spelling pubmed-103929042023-08-02 Serum Proteomic Profiling in Patients with Chronic Obstructive Pulmonary Disease Wu, Sinan Huang, Ke Chang, Chenli Chu, Xu Zhang, Kun Li, Baicun Yang, Ting Int J Chron Obstruct Pulmon Dis Original Research PURPOSE: Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease with high morbidity and mortality rates. This study used proteomic profiling of serum to identify the differentially expressed proteins in COPD patients compared with healthy controls, to expand the knowledge of COPD pathogenesis and to ascertain potential new targets for diagnosis and treatment of COPD. METHODS: Serum samples were collected from 56 participants (COPD group n = 28; Healthy Control group n = 28). A data-independent acquisition quantitative proteomics approach was used to identify differentially expressed proteins (DEPs) between the two groups. Gene Ontology (GO) functional annotation, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway functional enrichment, and protein–protein interaction analyses of DEPs were conducted to identify their relevant biological processes, cellular components, and related pathways. We used a parallel reaction monitoring (PRM)-based targeted quantitative proteomics approach to validate those findings. RESULTS: Of 8484 peptides identified by searching the UniProtKB/Swiss-Prot knowledgebase, 867 proteins were quantifiable, of which 20 were upregulated and 35 were downregulated in the COPD group. GO functional annotation indicated that the subcellular localization of most DEPs was extracellular. The top three molecular functions of the DEPs were signaling receptor binding, antigen binding, and immunoglobulin receptor binding. The most relevant biological process was immune response. The transforming growth factor-β signaling pathway, Staphylococcus aureus infection, and hematopoietic cell lineage were the top three pathways identified in the KEGG pathway functional enrichment. Our PRM analyses confirmed the identification of 11 DEPs identified in our data-independent acquisition analyses, 8 DEPs were upregulated and 3 DEPs were downregulated. CONCLUSION: This study using data-independent acquisition analyses with PRM confirmation of findings identified 11 DEPs in the serum of patients with COPD. These DEPs are potential diagnostic or prognostic biomarkers or may be future targets for the treatment of COPD. Dove 2023-07-28 /pmc/articles/PMC10392904/ /pubmed/37533772 http://dx.doi.org/10.2147/COPD.S413924 Text en © 2023 Wu et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Wu, Sinan
Huang, Ke
Chang, Chenli
Chu, Xu
Zhang, Kun
Li, Baicun
Yang, Ting
Serum Proteomic Profiling in Patients with Chronic Obstructive Pulmonary Disease
title Serum Proteomic Profiling in Patients with Chronic Obstructive Pulmonary Disease
title_full Serum Proteomic Profiling in Patients with Chronic Obstructive Pulmonary Disease
title_fullStr Serum Proteomic Profiling in Patients with Chronic Obstructive Pulmonary Disease
title_full_unstemmed Serum Proteomic Profiling in Patients with Chronic Obstructive Pulmonary Disease
title_short Serum Proteomic Profiling in Patients with Chronic Obstructive Pulmonary Disease
title_sort serum proteomic profiling in patients with chronic obstructive pulmonary disease
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10392904/
https://www.ncbi.nlm.nih.gov/pubmed/37533772
http://dx.doi.org/10.2147/COPD.S413924
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