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Single-cell transcriptomics highlights immunological dysregulations of monocytes in the pathobiology of COPD

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a common respiratory disease, whose pathogenetic complexity was strongly associated with aging/smoking and poorly understood. METHODS: Here we performed single-cell RNA sequencing (scRNA-seq) analysis of 66,610 cells from COPD and age-strat...

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Autores principales: Huang, Qiqing, Wang, Yuanyuan, Zhang, Lili, Qian, Wei, Shen, Shaoran, Wang, Jingshen, Wu, Shuangshuang, Xu, Wei, Chen, Bo, Lin, Mingyan, Wu, Jianqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764587/
https://www.ncbi.nlm.nih.gov/pubmed/36539833
http://dx.doi.org/10.1186/s12931-022-02293-2
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author Huang, Qiqing
Wang, Yuanyuan
Zhang, Lili
Qian, Wei
Shen, Shaoran
Wang, Jingshen
Wu, Shuangshuang
Xu, Wei
Chen, Bo
Lin, Mingyan
Wu, Jianqing
author_facet Huang, Qiqing
Wang, Yuanyuan
Zhang, Lili
Qian, Wei
Shen, Shaoran
Wang, Jingshen
Wu, Shuangshuang
Xu, Wei
Chen, Bo
Lin, Mingyan
Wu, Jianqing
author_sort Huang, Qiqing
collection PubMed
description BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a common respiratory disease, whose pathogenetic complexity was strongly associated with aging/smoking and poorly understood. METHODS: Here we performed single-cell RNA sequencing (scRNA-seq) analysis of 66,610 cells from COPD and age-stratified control lung tissues of donors with different smoking histories to prioritize cell types most perturbed in COPD lungs in aging/smoking dependent or independent manner. By performing an array of advanced bioinformatic analyses, such as gene set enrichment analysis, trajectory analysis, cell–cell interactions analysis, regulatory potential analysis, weighted correlation network analysis, functional interaction analysis, and gene set variation analysis, we integrated cell-type-level alterations into a system-level malfunction and provided a more clarified COPD pathological model containing specific mechanisms by which aging and smoking facilitate COPD development. Finally, we integrated the publicly available scRNA-seq data of 9 individuals, resulting in a total of 110,931 cells, and replicated the analyses to enhance the credibility of our findings. RESULTS: Our study pointed to enrichment of COPD molecular alteration in monocytes, which further induced a previously unrecognized pro-inflammatory effect on alveolar epithelial cells. In addition, aged monocytes and club cells facilitated COPD development via maintaining an autoimmune airway niche. Unexpectedly, macrophages, whose defect to resolve inflammation was long-recognized in COPD pathogenesis, primarily induced an imbalance of sphingolipids rheostat in a smoking-dependent way. These findings were validated in a meta-analysis including other public single-cell transcriptomic data. CONCLUSIONS: In sum, our study provided a clarified view of COPD pathogenesis and demonstrated the potential of targeting monocytes in COPD diagnosis and treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-02293-2.
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spelling pubmed-97645872022-12-21 Single-cell transcriptomics highlights immunological dysregulations of monocytes in the pathobiology of COPD Huang, Qiqing Wang, Yuanyuan Zhang, Lili Qian, Wei Shen, Shaoran Wang, Jingshen Wu, Shuangshuang Xu, Wei Chen, Bo Lin, Mingyan Wu, Jianqing Respir Res Research BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a common respiratory disease, whose pathogenetic complexity was strongly associated with aging/smoking and poorly understood. METHODS: Here we performed single-cell RNA sequencing (scRNA-seq) analysis of 66,610 cells from COPD and age-stratified control lung tissues of donors with different smoking histories to prioritize cell types most perturbed in COPD lungs in aging/smoking dependent or independent manner. By performing an array of advanced bioinformatic analyses, such as gene set enrichment analysis, trajectory analysis, cell–cell interactions analysis, regulatory potential analysis, weighted correlation network analysis, functional interaction analysis, and gene set variation analysis, we integrated cell-type-level alterations into a system-level malfunction and provided a more clarified COPD pathological model containing specific mechanisms by which aging and smoking facilitate COPD development. Finally, we integrated the publicly available scRNA-seq data of 9 individuals, resulting in a total of 110,931 cells, and replicated the analyses to enhance the credibility of our findings. RESULTS: Our study pointed to enrichment of COPD molecular alteration in monocytes, which further induced a previously unrecognized pro-inflammatory effect on alveolar epithelial cells. In addition, aged monocytes and club cells facilitated COPD development via maintaining an autoimmune airway niche. Unexpectedly, macrophages, whose defect to resolve inflammation was long-recognized in COPD pathogenesis, primarily induced an imbalance of sphingolipids rheostat in a smoking-dependent way. These findings were validated in a meta-analysis including other public single-cell transcriptomic data. CONCLUSIONS: In sum, our study provided a clarified view of COPD pathogenesis and demonstrated the potential of targeting monocytes in COPD diagnosis and treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-02293-2. BioMed Central 2022-12-20 2022 /pmc/articles/PMC9764587/ /pubmed/36539833 http://dx.doi.org/10.1186/s12931-022-02293-2 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
Huang, Qiqing
Wang, Yuanyuan
Zhang, Lili
Qian, Wei
Shen, Shaoran
Wang, Jingshen
Wu, Shuangshuang
Xu, Wei
Chen, Bo
Lin, Mingyan
Wu, Jianqing
Single-cell transcriptomics highlights immunological dysregulations of monocytes in the pathobiology of COPD
title Single-cell transcriptomics highlights immunological dysregulations of monocytes in the pathobiology of COPD
title_full Single-cell transcriptomics highlights immunological dysregulations of monocytes in the pathobiology of COPD
title_fullStr Single-cell transcriptomics highlights immunological dysregulations of monocytes in the pathobiology of COPD
title_full_unstemmed Single-cell transcriptomics highlights immunological dysregulations of monocytes in the pathobiology of COPD
title_short Single-cell transcriptomics highlights immunological dysregulations of monocytes in the pathobiology of COPD
title_sort single-cell transcriptomics highlights immunological dysregulations of monocytes in the pathobiology of copd
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764587/
https://www.ncbi.nlm.nih.gov/pubmed/36539833
http://dx.doi.org/10.1186/s12931-022-02293-2
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