Literature DB >> 33829055

Analysis of pathological changes in the epithelium in COVID-19 patient airways.

Wenguang Yin1,2, Weitao Cao1,2, Guangde Zhou3,2, Lifei Wang4,2, Jing Sun1,2, Airu Zhu1, Zhongfang Wang1, Yumin Zhou1, Xiaoqing Liu1, Yimin Li1, Nanshan Zhong1, Jincun Zhao1, Lei Liu3, Pixin Ran1.   

Abstract

Severe COVID-19 patient airways plugged by MUC5AC-containing mucus exhibit hyperplasia of goblet cells, and hypoplasia of multiciliated cells and club cells, as well as significantly reduced CC16 and MUC5B levels, and increased IL-13 levels https://bit.ly/2M2NcdO.
Copyright ©The authors 2021.

Entities:  

Year:  2021        PMID: 33829055      PMCID: PMC7898030          DOI: 10.1183/23120541.00690-2020

Source DB:  PubMed          Journal:  ERJ Open Res        ISSN: 2312-0541


To the Editor: The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused more than 70 million infections and approximately 1.6 million deaths worldwide [1]. However, the pathological changes in coronavirus disease 2019 (COVID-19) airways remain unclear due to limited accessibility of autopsy or biopsy. Here, we report one of the first pathological changes to the epithelium in the severe COVID-19 patient airways. The COVID-19 lungs exhibited much MUC5AC-containing mucus accumulation in many bronchioles. The number of mucus-producing goblet cells was dramatically increased, and the number of multiciliated cells and bronchiolar club cells was significantly reduced. Interleukin (IL)-13 levels were also dramatically increased in the COVID-19 lungs. The levels of secretoglobin CC16 secreted by club cells were significantly reduced in nine COVID-19 patients. Furthermore, SARS-CoV-2 nucleocapsid proteins were detected in human airway epithelial cells after in vitro infection. A 66-year-old man from Shenzhen, Guangdong Province, China, travelled to Wuhan on 29 December 2019 and returned to Shenzhen on 04 January 2020. He was admitted to the hospital on 11 January 2020 with clinical symptoms of cough, fever, myalgia and mild dyspnoea. He was a non-smoker with the comorbidity of hypertension. SARS-CoV-2 infection was identified by performing a real-time reverse transcriptase (RT)-PCR assay on a nasopharyngeal swab specimen [2]. Noninvasive ventilation and mechanical ventilation were administered to him on 11 January 2020 and 20 January 2020, respectively. After admission to the intensive care unit (ICU) on 25 January 2020, he developed respiratory failure, received lung transplantation therapy on 25 February 2020, and was declared clinically dead on 26 February 2020. On chest radiographs, we observed multiple patchy shadows with a progressive increase in the area of lung from 12 January to 22 January (figure 1a–c). Chest computed tomography (CT) showed bilateral and peripheral ground-glass opacities associated with intralobular septal thickening in his lungs on 13 January (figure 1d, e). Lesions in his lungs increased in extent with obvious heterogeneous density and air bronchogram on 23 January (figure 1f, g). On 30 January, his lungs exhibited a dramatic decrease in brightness with much more patchy shadows (figure 1h). From 01 February, the brightness of his lungs was further decreased with a large area of patchy shadow (figure 1i, j). Samples from the injured lungs of this patient were embedded in paraffin and sectioned for examination.
FIGURE 1

Coronavirus disease 2019 (COVID-19) patient lungs exhibit mucus plugs and pathological changes in the airway epithelium. Chest radiographs obtained on a) 12 January 2020, b) 17 January 2020 and c) 22 January 2020. d, e) Representative lung CT image on 13 January 2020. f, g) Representative transverse lung CT image on 23 January 2020. Chest radiographs obtained on h) 30 January 2020 i) 1 February 2020 and j) 15 February 2020. k) Representative images of lung tissue sections from the COVID-19 patient stained with haematoxylin and eosin (HE). Asterisks indicate airways. l) Representative images of lung tissue sections from the COVID-19 patient stained with periodic acid–Schiff (PAS). The arrows point to goblet cells. Asterisks indicate mucus plugs in the airways. m) Immunostaining for MUC5AC (green) and DAPI staining (blue) of sections of larger distal bronchioles from healthy controls (n=3) and the COVID-19 patient. The arrow points to the mucus plug. The arrowhead points to the goblet cell. n) Quantification of the number of larger distal bronchioles plugged by mucus in healthy controls (n=3) and the COVID-19 patient. o) Quantification of the number of larger distal bronchioles with MUC5AC+ cells in healthy controls (n=3) and the COVID-19 patient. p) Immunostaining for MUC5AC (green) and DAPI staining (blue) of sections of the smaller distal bronchioles from healthy controls (n=3) and the COVID-19 patient. The arrow points to the mucus plug. The arrowhead points to the goblet cell. q) Quantification of the number of smaller distal bronchioles plugged by mucus in healthy controls (n=3) and the COVID-19 patient. r) Quantification of the number of smaller distal bronchioles with MCU5AC+ cells in healthy controls (n=3) and the COVID-19 patient. s) Relative MUC5AC mRNA levels in the lungs from healthy controls and the COVID-19 patient. t) Immunostaining for MUC5B (red) and DAPI staining (blue) of sections of the airways from healthy controls (n=3) and the COVID-19 patient. u) Quantification of mean fluorescence intensity of MUC5B immunostaining in the airways in healthy controls (n=3) and the COVID-19 patient. v) Relative MUC5B mRNA levels in the lungs from healthy controls and the COVID-19 patient. w) Immunostaining for acetylated α-tubulin (green) and DAPI staining (blue) of sections of small bronchioles from healthy controls (n=3) and the COVID-19 patient. x) Quantification of the relative number of acetylated α-tubulin+ multiciliated cells in small bronchioles in healthy controls (n=3) and the COVID-19 patient. y) Immunostaining for CC16 (red) and DAPI staining (blue) of sections of distal bronchioles from healthy controls (n=3) and the COVID-19 patient. z) Quantification of the relative number of CC16+ cells in distal bronchioles in healthy controls (n=3) and the COVID-19 patient. aa) Relative CC16 mRNA levels in the lungs from healthy controls and the COVID-19 patient. bb) Quantification of CC16 levels in serum from healthy controls (n=7) and severe and critical COVID-19 patients (n=9). cc) Immunostaining for interleukin (IL)-13 (red) and DAPI staining (blue) of sections of the lungs from healthy controls (n=3) and the COVID-19 patient. dd) Quantification of mean fluorescence intensity of IL-13 immunostaining in the lungs in healthy controls (n=3) and the COVID-19 patient. ee) Representative images of cross sections of air–liquid interface (ALI) cultures stained with HE. The arrow points to cilia. ff) Trans-epithelial electrical resistance (TEER) measurements. gg) Immunostaining for MUC5AC (red), severe acute respiratory syndrome coronavirus 2 nucleocapsid proteins (SARS-CoV-2 N; green) and DAPI staining (blue) in human bronchial epithelial cells at the ALI after a 14-day differentiation. Scale bars: 100 μm (k, l, m, p, gg), 20 μm (t, w, y, cc, ee). *: p<0.05; **: p<0.01; ***: p<0.001; ****: p <0.0001; unpaired t-test, mean±sd.

Coronavirus disease 2019 (COVID-19) patient lungs exhibit mucus plugs and pathological changes in the airway epithelium. Chest radiographs obtained on a) 12 January 2020, b) 17 January 2020 and c) 22 January 2020. d, e) Representative lung CT image on 13 January 2020. f, g) Representative transverse lung CT image on 23 January 2020. Chest radiographs obtained on h) 30 January 2020 i) 1 February 2020 and j) 15 February 2020. k) Representative images of lung tissue sections from the COVID-19 patient stained with haematoxylin and eosin (HE). Asterisks indicate airways. l) Representative images of lung tissue sections from the COVID-19 patient stained with periodic acid–Schiff (PAS). The arrows point to goblet cells. Asterisks indicate mucus plugs in the airways. m) Immunostaining for MUC5AC (green) and DAPI staining (blue) of sections of larger distal bronchioles from healthy controls (n=3) and the COVID-19 patient. The arrow points to the mucus plug. The arrowhead points to the goblet cell. n) Quantification of the number of larger distal bronchioles plugged by mucus in healthy controls (n=3) and the COVID-19 patient. o) Quantification of the number of larger distal bronchioles with MUC5AC+ cells in healthy controls (n=3) and the COVID-19 patient. p) Immunostaining for MUC5AC (green) and DAPI staining (blue) of sections of the smaller distal bronchioles from healthy controls (n=3) and the COVID-19 patient. The arrow points to the mucus plug. The arrowhead points to the goblet cell. q) Quantification of the number of smaller distal bronchioles plugged by mucus in healthy controls (n=3) and the COVID-19 patient. r) Quantification of the number of smaller distal bronchioles with MCU5AC+ cells in healthy controls (n=3) and the COVID-19 patient. s) Relative MUC5AC mRNA levels in the lungs from healthy controls and the COVID-19 patient. t) Immunostaining for MUC5B (red) and DAPI staining (blue) of sections of the airways from healthy controls (n=3) and the COVID-19 patient. u) Quantification of mean fluorescence intensity of MUC5B immunostaining in the airways in healthy controls (n=3) and the COVID-19 patient. v) Relative MUC5B mRNA levels in the lungs from healthy controls and the COVID-19 patient. w) Immunostaining for acetylated α-tubulin (green) and DAPI staining (blue) of sections of small bronchioles from healthy controls (n=3) and the COVID-19 patient. x) Quantification of the relative number of acetylated α-tubulin+ multiciliated cells in small bronchioles in healthy controls (n=3) and the COVID-19 patient. y) Immunostaining for CC16 (red) and DAPI staining (blue) of sections of distal bronchioles from healthy controls (n=3) and the COVID-19 patient. z) Quantification of the relative number of CC16+ cells in distal bronchioles in healthy controls (n=3) and the COVID-19 patient. aa) Relative CC16 mRNA levels in the lungs from healthy controls and the COVID-19 patient. bb) Quantification of CC16 levels in serum from healthy controls (n=7) and severe and critical COVID-19 patients (n=9). cc) Immunostaining for interleukin (IL)-13 (red) and DAPI staining (blue) of sections of the lungs from healthy controls (n=3) and the COVID-19 patient. dd) Quantification of mean fluorescence intensity of IL-13 immunostaining in the lungs in healthy controls (n=3) and the COVID-19 patient. ee) Representative images of cross sections of air–liquid interface (ALI) cultures stained with HE. The arrow points to cilia. ff) Trans-epithelial electrical resistance (TEER) measurements. gg) Immunostaining for MUC5AC (red), severe acute respiratory syndrome coronavirus 2 nucleocapsid proteins (SARS-CoV-2 N; green) and DAPI staining (blue) in human bronchial epithelial cells at the ALI after a 14-day differentiation. Scale bars: 100 μm (k, l, m, p, gg), 20 μm (t, w, y, cc, ee). *: p<0.05; **: p<0.01; ***: p<0.001; ****: p <0.0001; unpaired t-test, mean±sd. To test for pathological changes in COVID-19 airways, we analysed lung sections using histological staining. The COVID-19 patient lungs exhibited severe haemorrhage in the airways and alveoli (figure 1k). Many of the COVID-19 distal bronchioles were plugged by mucus, accompanied by goblet cell hyperplasia in the airway epithelium (figure 1l). To examine cellular changes in COVID-19 airways, we performed a detailed analysis of the airway epithelium in healthy controls and the patient by immunostaining [3]. We observed that many of the distal bronchioles including the smaller ones in the COVID-19 patient were plugged by MUC5AC-containing mucus (figure 1m, n, p, q). MUC5AC+ goblet cells mainly localise in bronchi and are barely detectable in distal bronchioles in humans [4]. By contrast, a large number of MUC5AC+ goblet cells were observed in more than half of the bronchioles including the smaller ones in the COVID-19 patient compared with healthy controls (figure 1m, o, p, r). A quantitative reverse transcription PCR assay demonstrated MUC5AC mRNA levels were dramatically increased in the COVID-19 lungs compared with healthy controls (figure 1s). MUC5B is required for mucociliary clearance in the airways [5]. Notably, MUC5B protein and mRNA levels appeared to be dramatically reduced in the airway epithelium in the COVID-19 patient compared with healthy controls (fig. 1t–v). Multiciliated cells beat to constantly propel mucus from the distal to proximal airways for clearance of mucus-trapped pathogens and particles [6]. The number of acetylated α-tubulin+ multiciliated cells appeared to be significantly reduced in the small bronchioles in the COVID-19 patient (figure 1w, x). Club cells secrete CC16, a secretoglobin that can attenuate airway mucus production and hypersecretion [7-9]. We observed that the number of CC16+ club cells was significantly reduced in distal bronchioles in the COVID-19 patient compared with healthy controls (figure 1y, z). CC16 mRNA levels appeared to be dramatically reduced in the lungs of the COVID-19 patient (figure 1aa). Next, we examined circulating CC16 levels in serum from seven healthy nonsmoking controls, aged 38–67 years, and nine severe COVID-19 patients, aged 41–72 years including four smokers, by ELISA. CC16 levels were significantly decreased in COVID-19 patients compared with healthy controls (figure 1bb). In humans, IL-13 can induce mucus production in the lungs [10, 11]. IL-13 levels appeared to be dramatically increased in COVID-19 patients compared with healthy controls (figure 1cc, dd). To investigate whether human airway epithelial cells are susceptible to SARS-CoV-2, we used primary bronchial epithelial cells cultured in vitro at the air–liquid interface (ALI) as a model of human airway epithelium formation [12]. After a 14-day differentiation (figure 1ee, ff), we performed a 24-h virus inoculation into human airway epithelium at a multiplicity of infection (MOI) of 0.2, SARS-CoV-2 nucleocapsid proteins were detected in human airway epithelial cells by immunostaining (figure 1gg), indicating that the human airway epithelium is a potential site for SARS-CoV-2 infection. This study provides one of the first descriptions of the pathological changes in the COVID-19 airway epithelium. The COVID-19 airways are plugged by abundant MUC5AC-containing mucus, accompanied by hyperplasia of goblet cells as well as hypoplasia of club cells and multiciliated cells. It is possible that SARS-CoV-2 infection causes impaired airway epithelial cell homeostasis, leading to mucus overproduction and/or hypersecretion and/or accumulation, ultimately resulting in bronchiole obstruction, dyspnoea or even death. These findings warn that COVID-19 patients with dyspnoea and mucus plugs in the airways should be treated with caution. It is possible that the forced airflow from mechanical ventilation pushes mucus into the alveoli, which may dramatically reduce the air-exchange surface in the lungs and result in more severe hypoxia. Thus, we propose that mucus in the airways should be examined and removed before using mechanical ventilation for COVID-19 patients. Decreased CC16 levels have been shown to be associated with pulmonary diseases with mucus overproduction, including COPD [13, 14] and asthma [15]. CC16 could inhibit mucus production and hypersecretion in mouse airways and the ALI differentiation model of human bronchial epithelial cells [7-9]. IL-13 promotes mucus production in the lungs [10, 11]. Our findings that severe COVID-19 patients exhibit deceased CC16 levels and increased IL-13 levels, reveal other possible causes of airway mucus accumulation in COVID-19 patients.
  14 in total

1.  CCSP modulates airway dysfunction and host responses in an Ova-challenged mouse model.

Authors:  S Z Wang; C L Rosenberger; T M Espindola; E G Barrett; Y Tesfaigzi; D E Bice; K S Harrod
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2001-11       Impact factor: 5.464

2.  Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China.

Authors:  Dawei Wang; Bo Hu; Chang Hu; Fangfang Zhu; Xing Liu; Jing Zhang; Binbin Wang; Hui Xiang; Zhenshun Cheng; Yong Xiong; Yan Zhao; Yirong Li; Xinghuan Wang; Zhiyong Peng
Journal:  JAMA       Date:  2020-03-17       Impact factor: 56.272

3.  Muc5b is required for airway defence.

Authors:  Michelle G Roy; Alessandra Livraghi-Butrico; Ashley A Fletcher; Melissa M McElwee; Scott E Evans; Ryan M Boerner; Samantha N Alexander; Lindsey K Bellinghausen; Alfred S Song; Youlia M Petrova; Michael J Tuvim; Roberto Adachi; Irlanda Romo; Andrea S Bordt; M Gabriela Bowden; Joseph H Sisson; Prescott G Woodruff; David J Thornton; Karine Rousseau; Maria M De la Garza; Seyed J Moghaddam; Harry Karmouty-Quintana; Michael R Blackburn; Scott M Drouin; C William Davis; Kristy A Terrell; Barbara R Grubb; Wanda K O'Neal; Sonia C Flores; Adela Cota-Gomez; Catherine A Lozupone; Jody M Donnelly; Alan M Watson; Corinne E Hennessy; Rebecca C Keith; Ivana V Yang; Lea Barthel; Peter M Henson; William J Janssen; David A Schwartz; Richard C Boucher; Burton F Dickey; Christopher M Evans
Journal:  Nature       Date:  2013-12-08       Impact factor: 49.962

4.  Protective role for club cell secretory protein-16 (CC16) in the development of COPD.

Authors:  Maria E Laucho-Contreras; Francesca Polverino; Kushagra Gupta; Katherine L Taylor; Emer Kelly; Victor Pinto-Plata; Miguel Divo; Naveed Ashfaq; Hans Petersen; Barry Stripp; Aprile L Pilon; Yohannes Tesfaigzi; Bartolome R Celli; Caroline A Owen
Journal:  Eur Respir J       Date:  2015-02-19       Impact factor: 16.671

Review 5.  Cilia and Mucociliary Clearance.

Authors:  Ximena M Bustamante-Marin; Lawrence E Ostrowski
Journal:  Cold Spring Harb Perspect Biol       Date:  2017-04-03       Impact factor: 10.005

6.  Evaluation of serum CC-16 as a biomarker for COPD in the ECLIPSE cohort.

Authors:  D A Lomas; E K Silverman; L D Edwards; B E Miller; H O Coxson; R Tal-Singer
Journal:  Thorax       Date:  2008-08-29       Impact factor: 9.139

7.  Club cell 10-kDa protein attenuates airway mucus hypersecretion and inflammation.

Authors:  Erika Tokita; Tsuyoshi Tanabe; Kazuhito Asano; Harumi Suzaki; Bruce K Rubin
Journal:  Eur Respir J       Date:  2014-05-15       Impact factor: 16.671

8.  Interleukin-13 and -4 expression in the central airways of smokers with chronic bronchitis.

Authors:  D Miotto; M P Ruggieri; P Boschetto; G Cavallesco; A Papi; I Bononi; C Piola; B Murer; L M Fabbri; C E Mapp
Journal:  Eur Respir J       Date:  2003-10       Impact factor: 16.671

9.  Club cell secretory protein in serum and bronchoalveolar lavage of patients with asthma.

Authors:  Stefano Guerra; Monica M Vasquez; Amber Spangenberg; Marilyn Halonen; Richard J Martin
Journal:  J Allergy Clin Immunol       Date:  2016-05-11       Impact factor: 10.793

10.  The potassium channel KCNJ13 is essential for smooth muscle cytoskeletal organization during mouse tracheal tubulogenesis.

Authors:  Wenguang Yin; Hyun-Taek Kim; ShengPeng Wang; Felix Gunawan; Lei Wang; Keishi Kishimoto; Hua Zhong; Dany Roman; Jens Preussner; Stefan Guenther; Viola Graef; Carmen Buettner; Beate Grohmann; Mario Looso; Mitsuru Morimoto; Graeme Mardon; Stefan Offermanns; Didier Y R Stainier
Journal:  Nat Commun       Date:  2018-07-19       Impact factor: 14.919

View more
  9 in total

1.  Immunomodulatory LncRNA on antisense strand of ICAM-1 augments SARS-CoV-2 infection-associated airway mucoinflammatory phenotype.

Authors:  Dinesh Devadoss; Arpan Acharya; Marko Manevski; Dominika Houserova; Michael D Cioffi; Kabita Pandey; Madhavan Nair; Prem Chapagain; Mehdi Mirsaeidi; Glen M Borchert; Siddappa N Byrareddy; Hitendra S Chand
Journal:  iScience       Date:  2022-06-30

2.  SARS-CoV-2 Induces Expression of Cytokine and MUC5AC/5B in Human Nasal Epithelial Cell through ACE 2 Receptor.

Authors:  Sangjae Lee; Hyung Gyun Na; Yoon Seok Choi; Chang Hoon Bae; Si-Youn Song; Yong-Dae Kim
Journal:  Biomed Res Int       Date:  2022-06-02       Impact factor: 3.246

3.  Cellular metabolic basis of altered immunity in the lungs of patients with COVID-19.

Authors:  Shuangyan Li; Fuxiaonan Zhao; Jing Ye; Kuan Li; Qi Wang; Zhongchao Du; Qing Yue; Sisi Wang; Qi Wu; Huaiyong Chen
Journal:  Med Microbiol Immunol       Date:  2022-01-13       Impact factor: 4.148

4.  Congestion in the tube: air trapping in a ventilated patient with COVID-19 secondary to mucinous valves.

Authors:  Mina Nasr Arsanious; Eduardas Ambrasas; Mandeep Phull; Thusith Wickrama
Journal:  BMJ Case Rep       Date:  2022-04-13

5.  COVID-19 Survivor Patients Carrying the Rs35705950 Risk Allele in MUC5B Have Higher Plasma Levels of Mucin 5B.

Authors:  Salvador García-Carmona; Ramcés Falfán-Valencia; Abigail Verónica-Aguilar; Ivette Buendía-Roldán; Leslie Chávez-Galán; Rafael de Jesús Hernández-Zenteno; Alfonso Martínez-Morales; Ingrid Fricke-Galindo; Jesús Alanis-Ponce; Daniela Valencia-Pérez Rea; Ilse Adriana Gutiérrez-Pérez; Oscar Zaragoza-García; Karol J Nava-Quiroz; Angel Camarena; Mayra Mejía; Iris Paola Guzmán-Guzmán; Gloria Pérez-Rubio
Journal:  Curr Issues Mol Biol       Date:  2022-07-22       Impact factor: 2.976

6.  NOTCH signaling in COVID-19: a central hub controlling genes, proteins, and cells that mediate SARS-CoV-2 entry, the inflammatory response, and lung regeneration.

Authors:  Piyush Baindara; Md Bodruzzaman Sarker; Alexander P Earhart; Santi M Mandal; Adam G Schrum
Journal:  Front Cell Infect Microbiol       Date:  2022-08-04       Impact factor: 6.073

7.  Goblet Cell Hyperplasia Increases SARS-CoV-2 Infection in Chronic Obstructive Pulmonary Disease.

Authors:  Jaspreet Osan; Sattya N Talukdar; Friederike Feldmann; Beth Ann DeMontigny; Kailey Jerome; Kristina L Bailey; Heinz Feldmann; Masfique Mehedi
Journal:  Microbiol Spectr       Date:  2022-07-13

8.  Lung remodeling regions in long-term Covid-19 feature basal epithelial cell reprogramming.

Authors:  Kangyun Wu; Yong Zhang; Stephen R Austin; Huqing Yin Declue; Derek E Byers; Erika C Crouch; Michael J Holtzman
Journal:  medRxiv       Date:  2022-09-19

Review 9.  The Potential of Lung Epithelium Specific Proteins as Biomarkers for COVID-19-Associated Lung Injury.

Authors:  Sultan Almuntashiri; Chelsea James; Xiaoyun Wang; Budder Siddiqui; Duo Zhang
Journal:  Diagnostics (Basel)       Date:  2021-09-08
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.