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Pulmonary fibrosis after COVID-19 is characterized by airway abnormalities and elevated club cell secretory protein-16
Matthew R. Baldwin, Ansley E. Jones, David Zhang, Chandan Gurung, Zain Khan, Anjali Saqi, Xuehan Yang, Ying Wei, Renu Nandakumar, Scarlett O. Murphy, Claire F. McGroder, Faisal Shaikh, Selim Arcasoy, Luke Benvenuto, Harpreet Grewal, Benjamin M. Smith, Eric A. Hoffman, Agnes C.Y. Yuen, Parteek Johal, Christopher Carlsten, Christopher J. Ryerson, J. Brent Richards, Alyson W. Wong, Tomoko Nakanishi, Aditi S. Shah, Christine Kim Garcia
Matthew R. Baldwin, Ansley E. Jones, David Zhang, Chandan Gurung, Zain Khan, Anjali Saqi, Xuehan Yang, Ying Wei, Renu Nandakumar, Scarlett O. Murphy, Claire F. McGroder, Faisal Shaikh, Selim Arcasoy, Luke Benvenuto, Harpreet Grewal, Benjamin M. Smith, Eric A. Hoffman, Agnes C.Y. Yuen, Parteek Johal, Christopher Carlsten, Christopher J. Ryerson, J. Brent Richards, Alyson W. Wong, Tomoko Nakanishi, Aditi S. Shah, Christine Kim Garcia
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Clinical Research and Public Health Infectious disease Pulmonology

Pulmonary fibrosis after COVID-19 is characterized by airway abnormalities and elevated club cell secretory protein-16

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Abstract

BACKGROUND There are no known serum biomarkers that provide mechanistic insight or prognostic enrichment for post–COVID-19 pulmonary fibrosis.METHODS We tested associations of serum biomarkers with radiographic fibrosis-like abnormalities (reticulation, traction bronchiectasis, or honeycombing) on thoracic computed tomography (CT) scans 4 months, 15 months, and 3 years after hospitalization in an American discovery cohort of severe-to-critical COVID-19 survivors, and externally validated findings in 2 Canadian cohorts of moderate-to-critical COVID-19 survivors. In the discovery cohort, we investigated the dose-response relationship of the biomarker with CT-derived airway-to-lung ratio. We performed single-cell RNA sequencing (scRNA-seq) of transbronchial lung biopsies from COVID-19 survivors obtained 3 years after COVID-19 hospitalization and conducted immunofluorescence analysis of COVID-19 lung explants.RESULTS Among 150 discovery cohort participants, only higher levels of circulating club cell secretory protein-16 (CC16, encoded by the SCGB1A1 gene) at hospital discharge, 4 months, 15 months, and 3 years were associated with thoracic CT fibrosis-like abnormalities in cross-sectional and longitudinal analyses. Higher CC16 levels were associated with thoracic CT fibrosis-like abnormalities in 2 validation cohorts (n = 56 and n = 37). CC16 levels were linearly associated with increased airway-to-lung ratio. scRNA-seq revealed increased proportions of epithelial cells expressing SCGB1A1 and SCGB1A1/MUC5B in COVID-19 survivors with fibrosis. Immunofluorescence analysis of COVID-19 lung explants demonstrated increased numbers of SCGB1A1-expressing epithelial cells only in small (<100 μm) airways, with 3-fold more CC16/MUC5B-coexpressing cells in respiratory bronchioles..CONCLUSION. Higher CC16 levels are associated with CT fibrosis-like abnormalities for up to 3 years following moderate-to-critical COVID-19. Increased CC16 reflects dysregulated small airway epithelial progenitor cell remodeling and increased expansion of CC16+MUC5B+ epithelial cells in respiratory bronchioles after COVID-19.TRIAL REGISTRATION Not applicable.FUNDING Department of Defense, NIH, and Japan Society for the Promotion of Science for Young Scientists.

Authors

Matthew R. Baldwin, Ansley E. Jones, David Zhang, Chandan Gurung, Zain Khan, Anjali Saqi, Xuehan Yang, Ying Wei, Renu Nandakumar, Scarlett O. Murphy, Claire F. McGroder, Faisal Shaikh, Selim Arcasoy, Luke Benvenuto, Harpreet Grewal, Benjamin M. Smith, Eric A. Hoffman, Agnes C.Y. Yuen, Parteek Johal, Christopher Carlsten, Christopher J. Ryerson, J. Brent Richards, Alyson W. Wong, Tomoko Nakanishi, Aditi S. Shah, Christine Kim Garcia

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Figure 6

Increased SCGB1A1 immunofluorescence with MUC5B in small airways of the lung after severe COVID-19.

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Increased SCGB1A1 immunofluorescence with MUC5B in small airways of the ...
(A) Schematic. (B) Immunofluorescence pattern of SCGB1A1 in large and small airways in control and COVID-19 explants (scale bars: 200 μm). Insets show staining at higher magnification (scale bars: 50 μm). (C) Automated quantification of SCGB1A1 immunofluorescence in control (n = 11) and COVID-19 explanted lungs (n = 7). Each point represents the average SCGB1A1+ areas divided by number of DAPI+ cells of 42 photomicrographs for each case at ×20 magnification. ****P < 2.2 × 10–16. (D) Manual counting of SCGB1A1+ airway epithelial cells in airways measuring less than or greater than 100 μm in diameter in 4 slides from all n = 7 COVID-19 explants and n = 7 sex-matched controls. ****P < 1 × 10–6 for small (<100 μm) airways. P = 0.67 for large airways. (E) Representative coimmunofluorescent staining of SCGB1A1 and MUC5B in control and COVID-19 explant tissue (scale bars: 100 μm). H&E staining of an adjacent cut from the COVID-19 explant is shown for reference. Higher-power magnification images of the H&E-stained slide and the immunofluorescence image from the areas denoted by the boxes are shown below. MUC5B signals (green) are seen not only in cells but also within the adjacent extracellular space. (F) Quantification of the absolute number of MUC5B+ cells, SCGB1A1+ cells, and MUC5B+SCGB1A1+ double-positive cells in COVID-19 explants (n = 7) and control lung tissue (n = 7). (G) Bar graph demonstrating the percentage of airway cells with the indicated staining pattern found in COVID-19 explants (n = 7) and control lung tissue (n = 7). P values are from Mann-Whitney tests.

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