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Proteomics and metabolomics profiling reveal panels of circulating diagnostic biomarkers and molecular subtypes in stable COPD

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous disease with high morbidity and mortality, especially in advanced patients. We aimed to develop multi-omics panels of biomarkers for the diagnosis and explore its molecular subtypes. METHODS: A total of 40 stable...

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Autores principales: Zhang, Zili, Wang, Jian, Li, Yuanyuan, Liu, Fei, Chen, Lingdan, He, Shunping, Lin, Fanjie, Wei, Xinguang, Fang, Yaowei, Li, Qiongqiong, Zhou, Juntuo, Lu, Wenju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007826/
https://www.ncbi.nlm.nih.gov/pubmed/36899372
http://dx.doi.org/10.1186/s12931-023-02349-x
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author Zhang, Zili
Wang, Jian
Li, Yuanyuan
Liu, Fei
Chen, Lingdan
He, Shunping
Lin, Fanjie
Wei, Xinguang
Fang, Yaowei
Li, Qiongqiong
Zhou, Juntuo
Lu, Wenju
author_facet Zhang, Zili
Wang, Jian
Li, Yuanyuan
Liu, Fei
Chen, Lingdan
He, Shunping
Lin, Fanjie
Wei, Xinguang
Fang, Yaowei
Li, Qiongqiong
Zhou, Juntuo
Lu, Wenju
author_sort Zhang, Zili
collection PubMed
description BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous disease with high morbidity and mortality, especially in advanced patients. We aimed to develop multi-omics panels of biomarkers for the diagnosis and explore its molecular subtypes. METHODS: A total of 40 stable patients with advanced COPD and 40 controls were enrolled in the study. Proteomics and metabolomics techniques were applied to identify potential biomarkers. An additional 29 COPD and 31 controls were enrolled for validation of the obtained proteomic signatures. Information on demographic, clinical manifestation, and blood test were collected. The ROC analyses were carried out to evaluate the diagnostic performance, and experimentally validated the final biomarkers on mild-to-moderate COPD. Next, molecular subtyping was performed using proteomics data. RESULTS: Theophylline, palmitoylethanolamide, hypoxanthine, and cadherin 5 (CDH5) could effectively diagnose advanced COPD with high accuracy (auROC = 0.98, sensitivity of 0.94, and specificity of 0.95). The performance of the diagnostic panel was superior to that of other single/combined results and blood tests. Proteome based stratification of COPD revealed three subtypes (I–III) related to different clinical outcomes and molecular feature: simplex COPD, COPD co-existing with bronchiectasis, and COPD largely co-existing with metabolic syndrome, respectively. Two discriminant models were established using the auROC of 0.96 (Principal Component Analysis, PCA) and 0.95 (the combination of RRM1 + SUPV3L1 + KRT78) in differentiating COPD and COPD with co-morbidities. Theophylline and CDH5 were exclusively elevated in advanced COPD but not in its mild form. CONCLUSIONS: This integrative multi-omics analysis provides a more comprehensive understanding of the molecular landscape of advanced COPD, which may suggest molecular targets for specialized therapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-023-02349-x.
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spelling pubmed-100078262023-03-12 Proteomics and metabolomics profiling reveal panels of circulating diagnostic biomarkers and molecular subtypes in stable COPD Zhang, Zili Wang, Jian Li, Yuanyuan Liu, Fei Chen, Lingdan He, Shunping Lin, Fanjie Wei, Xinguang Fang, Yaowei Li, Qiongqiong Zhou, Juntuo Lu, Wenju Respir Res Research BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous disease with high morbidity and mortality, especially in advanced patients. We aimed to develop multi-omics panels of biomarkers for the diagnosis and explore its molecular subtypes. METHODS: A total of 40 stable patients with advanced COPD and 40 controls were enrolled in the study. Proteomics and metabolomics techniques were applied to identify potential biomarkers. An additional 29 COPD and 31 controls were enrolled for validation of the obtained proteomic signatures. Information on demographic, clinical manifestation, and blood test were collected. The ROC analyses were carried out to evaluate the diagnostic performance, and experimentally validated the final biomarkers on mild-to-moderate COPD. Next, molecular subtyping was performed using proteomics data. RESULTS: Theophylline, palmitoylethanolamide, hypoxanthine, and cadherin 5 (CDH5) could effectively diagnose advanced COPD with high accuracy (auROC = 0.98, sensitivity of 0.94, and specificity of 0.95). The performance of the diagnostic panel was superior to that of other single/combined results and blood tests. Proteome based stratification of COPD revealed three subtypes (I–III) related to different clinical outcomes and molecular feature: simplex COPD, COPD co-existing with bronchiectasis, and COPD largely co-existing with metabolic syndrome, respectively. Two discriminant models were established using the auROC of 0.96 (Principal Component Analysis, PCA) and 0.95 (the combination of RRM1 + SUPV3L1 + KRT78) in differentiating COPD and COPD with co-morbidities. Theophylline and CDH5 were exclusively elevated in advanced COPD but not in its mild form. CONCLUSIONS: This integrative multi-omics analysis provides a more comprehensive understanding of the molecular landscape of advanced COPD, which may suggest molecular targets for specialized therapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-023-02349-x. BioMed Central 2023-03-11 2023 /pmc/articles/PMC10007826/ /pubmed/36899372 http://dx.doi.org/10.1186/s12931-023-02349-x 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
Zhang, Zili
Wang, Jian
Li, Yuanyuan
Liu, Fei
Chen, Lingdan
He, Shunping
Lin, Fanjie
Wei, Xinguang
Fang, Yaowei
Li, Qiongqiong
Zhou, Juntuo
Lu, Wenju
Proteomics and metabolomics profiling reveal panels of circulating diagnostic biomarkers and molecular subtypes in stable COPD
title Proteomics and metabolomics profiling reveal panels of circulating diagnostic biomarkers and molecular subtypes in stable COPD
title_full Proteomics and metabolomics profiling reveal panels of circulating diagnostic biomarkers and molecular subtypes in stable COPD
title_fullStr Proteomics and metabolomics profiling reveal panels of circulating diagnostic biomarkers and molecular subtypes in stable COPD
title_full_unstemmed Proteomics and metabolomics profiling reveal panels of circulating diagnostic biomarkers and molecular subtypes in stable COPD
title_short Proteomics and metabolomics profiling reveal panels of circulating diagnostic biomarkers and molecular subtypes in stable COPD
title_sort proteomics and metabolomics profiling reveal panels of circulating diagnostic biomarkers and molecular subtypes in stable copd
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007826/
https://www.ncbi.nlm.nih.gov/pubmed/36899372
http://dx.doi.org/10.1186/s12931-023-02349-x
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