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Imkamp K, Bernal V, Grzegorzcyk M, Horvatovich P, Vermeulen CJ, Heijink IH, Guryev V, Kerstjens HAM, van den Berge M, Faiz A. Gene network approach reveals co-expression patterns in nasal and bronchial epithelium. Sci Rep 2019; 9:15835. [PMID: 31676779 PMCID: PMC6825243 DOI: 10.1038/s41598-019-50963-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Accepted: 09/13/2019] [Indexed: 12/20/2022] Open
Abstract
Nasal gene expression profiling is a new approach to investigate the airway epithelium as a biomarker to study the activity and treatment responses of obstructive pulmonary diseases. We investigated to what extent gene expression profiling of nasal brushings is similar to that of bronchial brushings. We performed genome wide gene expression profiling on matched nasal and bronchial epithelial brushes from 77 respiratory healthy individuals. To investigate differences and similarities among regulatory modules, network analysis was performed on correlated, differentially expressed and smoking-related genes using Gaussian Graphical Models. Between nasal and bronchial brushes, 619 genes were correlated and 1692 genes were differentially expressed (false discovery rate <0.05, |Fold-change|>2). Network analysis of correlated genes showed pro-inflammatory pathways to be similar between the two locations. Focusing on smoking-related genes, cytochrome-P450 pathway related genes were found to be similar, supporting the concept of a detoxifying response to tobacco exposure throughout the airways. In contrast, cilia-related pathways were decreased in nasal compared to bronchial brushes when focusing on differentially expressed genes. Collectively, while there are substantial differences in gene expression between nasal and bronchial brushes, we also found similarities, especially in the response to the external factors such as smoking.
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Affiliation(s)
- Kai Imkamp
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, Groningen, The Netherlands. .,University of Groningen, University Medical Center Groningen, GRIAC (Groningen Research Institute for Asthma and COPD), Groningen, The Netherlands.
| | - Victor Bernal
- University of Groningen, Bernoulli Institute (JBI), Groningen, The Netherlands.,University of Groningen, Department of Pharmacy, Analytical Biochemistry, Groningen, The Netherlands
| | - Marco Grzegorzcyk
- University of Groningen, Bernoulli Institute (JBI), Groningen, The Netherlands
| | - Peter Horvatovich
- University of Groningen, Department of Pharmacy, Analytical Biochemistry, Groningen, The Netherlands
| | - Cornelis J Vermeulen
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, GRIAC (Groningen Research Institute for Asthma and COPD), Groningen, The Netherlands
| | - Irene H Heijink
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, GRIAC (Groningen Research Institute for Asthma and COPD), Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, Department of Pathology & Medical Biology, section Medical Biology, Groningen, The Netherlands
| | - Victor Guryev
- University of Groningen, University Medical Center Groningen, GRIAC (Groningen Research Institute for Asthma and COPD), Groningen, The Netherlands.,European Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Huib A M Kerstjens
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, GRIAC (Groningen Research Institute for Asthma and COPD), Groningen, The Netherlands
| | - Maarten van den Berge
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, GRIAC (Groningen Research Institute for Asthma and COPD), Groningen, The Netherlands
| | - Alen Faiz
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, GRIAC (Groningen Research Institute for Asthma and COPD), Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, Department of Pathology & Medical Biology, section Medical Biology, Groningen, The Netherlands.,University of Technology Sydney, Respiratory Bioinformatics and Molecular Biology (RBMB), School of life sciences, Sydney, Australia.,Woolcock Emphysema Centre, Woolcock Institute of Medical Research, University of Sydney, Sydney, NSW, Australia
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Xu L, Jiang Y. Mathematical Modeling of Mucociliary Clearance: A Mini-Review. Cells 2019; 8:cells8070736. [PMID: 31323757 PMCID: PMC6678682 DOI: 10.3390/cells8070736] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 07/12/2019] [Accepted: 07/14/2019] [Indexed: 12/13/2022] Open
Abstract
Mucociliary clearance is an important innate host defense of the mammalian respiratory system, as it traps foreign substances, including pollutants, pathogens, and allergens, and transports them out of the airway. The underlying mechanism of the actuation and coordination of cilia, the interplay between the cilia and mucus, and the formation of the metachronal wave have been explored extensively both experimentally and mathematically. In this mini-review, we provide a survey of the mathematical models of mucociliary clearance, from the motion of one single cilium to the emergence of the metachronal wave in a group of them, from the fundamental theoretical study to the state-of-the-art three-dimensional simulations. The mechanism of cilium actuation is discussed, together with the mathematical simplification and the implications or caveats of the results.
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Affiliation(s)
- Ling Xu
- Department of Mathematics, North Carolina A & T State University, Greensboro, NC 27411, USA.
| | - Yi Jiang
- Department of Mathematics and Statistics, Georgia State University, Atlanta, GA 30303, USA.
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Yaghi A, Dolovich MB. Airway Epithelial Cell Cilia and Obstructive Lung Disease. Cells 2016; 5:cells5040040. [PMID: 27845721 PMCID: PMC5187524 DOI: 10.3390/cells5040040] [Citation(s) in RCA: 92] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Revised: 10/27/2016] [Accepted: 11/07/2016] [Indexed: 11/16/2022] Open
Abstract
Airway epithelium is the first line of defense against exposure of the airway and lung to various inflammatory stimuli. Ciliary beating of airway epithelial cells constitutes an important part of the mucociliary transport apparatus. To be effective in transporting secretions out of the lung, the mucociliary transport apparatus must exhibit a cohesive beating of all ciliated epithelial cells that line the upper and lower respiratory tract. Cilia function can be modulated by exposures to endogenous and exogenous factors and by the viscosity of the mucus lining the epithelium. Cilia function is impaired in lung diseases such as COPD and asthma, and pharmacologic agents can modulate cilia function and mucus viscosity. Cilia beating is reduced in COPD, however, more research is needed to determine the structural-functional regulation of ciliary beating via all signaling pathways and how this might relate to the initiation or progression of obstructive lung diseases. Additionally, genotypes and how these can influence phenotypes and epithelial cell cilia function and structure should be taken into consideration in future investigations.
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Affiliation(s)
- Asma Yaghi
- Firestone Research Aerosol Laboratory, Fontbonne Bldg. Room F132, Hamilton, ON L8N 4A6, Canada.
- St. Joseph's Healthcare, Firestone Institute for Respiratory Health, 50 Charlton Ave East, FIRH Room T2135, Hamilton, ON L8N 4A6, Canada.
| | - Myrna B Dolovich
- Firestone Research Aerosol Laboratory, Fontbonne Bldg. Room F132, Hamilton, ON L8N 4A6, Canada.
- Department of Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada.
- St. Joseph's Healthcare, Firestone Institute for Respiratory Health, 50 Charlton Ave East, FIRH Room T2135, Hamilton, ON L8N 4A6, Canada.
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Welchering N, Ochoa S, Tian X, Francis R, Zahid M, Muñoz R, Lo CW. Dexmedetomidine and fentanyl exhibit temperature dependent effects on human respiratory cilia. Front Pediatr 2015; 3:7. [PMID: 25717467 PMCID: PMC4324059 DOI: 10.3389/fped.2015.00007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Accepted: 01/26/2015] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Dexmedetomidine (dex) is commonly used in intensive care due to its effective sedation and analgesia with few adverse effects and minimal respiratory depression. However, we recently observed that exposing mouse epithelial respiratory cells to dex decreased ciliary beat frequency (CBF), suggesting dex may pose pulmonary risk. OBJECTIVE The purpose of this study is to determine the effects of dex at clinically relevant doses on CBF in human respiratory epithelia. METHODS Human nasal epithelial cilia were obtained from the inferior nasal turbinate with a rhinoprobe and placed in culture medium at 15°C and 37°C. At 5 and 30 min, video-microscopy was used to assess CBF, either without (control) or with different concentrations (1, 5, and 10 nM) of dex, fentanyl (fen), and dex + fen combination. RESULTS At 15°C, CBF was lower in the dex group compared to controls at 5 and 30 min. At 37°C, there was a significant increase in CBF with dex at 5 and 30 min, except for dex at 5 nM after 5 min, which showed a significant decrease. At 15°C the combination of dex + fen showed a positive interaction, causing less ciliary inhibition as expected. In contrast, no interaction between drugs was seen between dex and fen at 37°C. CONCLUSION At low temperatures, dex reduces CBF in human respiratory epithelia, whereas dex increases CBF at physiologic temperature in vitro. Whether these effects translate into clinical consequences during hypothermia, as with cardiopulmonary bypass surgery will require further studies.
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Affiliation(s)
- Nils Welchering
- Department of Pediatrics, University of Pittsburgh , Pittsburgh, PA , USA
| | - Sebastian Ochoa
- Department of Pediatrics, University of Pittsburgh , Pittsburgh, PA , USA
| | - Xin Tian
- Office of Biostatistics Research, NHLBI , Washington, DC , USA
| | - Richard Francis
- Department of Developmental Biology, University of Pittsburgh , Pittsburgh, PA , USA
| | - Maliha Zahid
- Department of Developmental Biology, University of Pittsburgh , Pittsburgh, PA , USA
| | - Ricardo Muñoz
- Department of Critical Care Medicine, University of Pittsburgh , Pittsburgh, PA , USA
| | - Cecilia W Lo
- Department of Developmental Biology, University of Pittsburgh , Pittsburgh, PA , USA
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Robertson A, Stannard W, Passant C, O'Callaghan C, Banerjee A. What effect does isoflurane have upon ciliary beat pattern: an in vivo study. CLINICAL OTOLARYNGOLOGY AND ALLIED SCIENCES 2004; 29:157-60. [PMID: 15113302 PMCID: PMC7162291 DOI: 10.1111/j.0307-7772.2004.00768.x] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 06/10/2003] [Indexed: 11/27/2022]
Abstract
The effect of anaesthetic gases given via laryngeal mask on nasal ciliary beat pattern and frequency has not been studied. Anaesthetic gases such as isoflurane, halothane and enflurane are known to reduce ciliary beat frequency, but it is unknown whether they also cause cilia to beat in a dyskinetic fashion. Brush biopsies of nasal mucosa were taken pre- and post-anaesthesia with isoflurane, given via a laryngeal mask, from patients undergoing nasal surgery. The samples were observed by light microscopy, and high-speed digital video recordings were made to determine ciliary beat frequency. Using slow-motion playback, the ciliary beat pattern was scored for dysmotility, and the proportion of immotile cilia in the sample was determined. We found that ciliary beat frequency decreased significantly (P < 0.01) after exposure to isoflurane (10.24 Hz compared to 9.20 Hz). However, isoflurane did not alter the ciliary beat pattern or the proportion of immotile cilia.
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Affiliation(s)
- A Robertson
- ENT Department, Leicester Royal Infirmary, Leicester, UK.
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