A Network of Sputum MicroRNAs Is Associated with Neutrophilic Airway Inflammation in Asthma
MicroRNAs are potent regulators of biologic systems that are critical to tissue homeostasis. Individual microRNAs have been identified in airway samples. However, a systems analysis of the microRNA-mRNA networks present in the sputum that contribute to airway inflammation in asthma has not been publ...
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Published in | American journal of respiratory and critical care medicine Vol. 202; no. 1; pp. 51 - 64 |
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Main Authors | , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
American Thoracic Society
01.07.2020
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Abstract | MicroRNAs are potent regulators of biologic systems that are critical to tissue homeostasis. Individual microRNAs have been identified in airway samples. However, a systems analysis of the microRNA-mRNA networks present in the sputum that contribute to airway inflammation in asthma has not been published.
Identify microRNA and mRNA networks in the sputum of patients with asthma.
We conducted a genome-wide analysis of microRNA and mRNA in the sputum from patients with asthma and correlated expression with clinical phenotypes. Weighted gene correlation network analysis was implemented to identify microRNA networks (modules) that significantly correlate with clinical features of asthma and mRNA expression networks. MicroRNA expression in peripheral blood neutrophils and lymphocytes and
hybridization of the sputum were used to identify the cellular sources of microRNAs. MicroRNA expression obtained before and after ozone exposure was also used to identify changes associated with neutrophil counts in the airway.
Six microRNA modules were associated with clinical features of asthma. A single module (
) was associated with a history of hospitalizations, lung function impairment, and numbers of neutrophils and lymphocytes in the sputum. Of the 12 microRNAs in the
module,
was the highest expressed microRNA in neutrophils and was associated with increased neutrophil counts in the sputum in response to ozone exposure. Multiple microRNAs in the
module correlated with two mRNA modules enriched for TLR (Toll-like receptor) and T-helper cell type 17 (Th17) signaling and endoplasmic reticulum stress.
was a key regulator of the TLR and Th17 pathways in the sputum of subjects with asthma.
This study of sputum microRNA and mRNA expression from patients with asthma demonstrates the existence of microRNA networks and genes that are associated with features of asthma severity. Among these,
a neutrophil-derived microRNA, regulates TLR/Th17 signaling and endoplasmic reticulum stress. |
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AbstractList | MicroRNAs are potent regulators of biologic systems that are critical to tissue homeostasis. Individual microRNAs have been identified in airway samples. However, a systems analysis of the microRNA-mRNA networks present in the sputum that contribute to airway inflammation in asthma has not been published.
Identify microRNA and mRNA networks in the sputum of patients with asthma.
We conducted a genome-wide analysis of microRNA and mRNA in the sputum from patients with asthma and correlated expression with clinical phenotypes. Weighted gene correlation network analysis was implemented to identify microRNA networks (modules) that significantly correlate with clinical features of asthma and mRNA expression networks. MicroRNA expression in peripheral blood neutrophils and lymphocytes and
hybridization of the sputum were used to identify the cellular sources of microRNAs. MicroRNA expression obtained before and after ozone exposure was also used to identify changes associated with neutrophil counts in the airway.
Six microRNA modules were associated with clinical features of asthma. A single module (
) was associated with a history of hospitalizations, lung function impairment, and numbers of neutrophils and lymphocytes in the sputum. Of the 12 microRNAs in the
module,
was the highest expressed microRNA in neutrophils and was associated with increased neutrophil counts in the sputum in response to ozone exposure. Multiple microRNAs in the
module correlated with two mRNA modules enriched for TLR (Toll-like receptor) and T-helper cell type 17 (Th17) signaling and endoplasmic reticulum stress.
was a key regulator of the TLR and Th17 pathways in the sputum of subjects with asthma.
This study of sputum microRNA and mRNA expression from patients with asthma demonstrates the existence of microRNA networks and genes that are associated with features of asthma severity. Among these,
a neutrophil-derived microRNA, regulates TLR/Th17 signaling and endoplasmic reticulum stress. Gomez et al present study on the sputum microRNAs with neutrophilic airway inflammation in asthma patient. They aim to identify microRNA and mRNA networks in the sputum of patients with asthma. MicroRNAs are potent regulators of biologic systems that are critical to tissue homeostasis. Individual microRNAs have been identified in airway samples. However, a systems analysis of the microRNA and mRNA networks present in the sputum that contribute to airway inflammation in asthma has not been published. The study of sputum microRNA and mRNA expression from patients with asthma demonstrates the existence of microRNA networks and genes that are associated with features of asthma severity. Among these, hsa-miR-223-3p, a neutrophil-derived microRNA, regulates TLR/Th17 signaling and endoplasmic reticulum stress. Rationale: MicroRNAs are potent regulators of biologic systems that are critical to tissue homeostasis. Individual microRNAs have been identified in airway samples. However, a systems analysis of the microRNA-mRNA networks present in the sputum that contribute to airway inflammation in asthma has not been published.Objectives: Identify microRNA and mRNA networks in the sputum of patients with asthma.Methods: We conducted a genome-wide analysis of microRNA and mRNA in the sputum from patients with asthma and correlated expression with clinical phenotypes. Weighted gene correlation network analysis was implemented to identify microRNA networks (modules) that significantly correlate with clinical features of asthma and mRNA expression networks. MicroRNA expression in peripheral blood neutrophils and lymphocytes and in situ hybridization of the sputum were used to identify the cellular sources of microRNAs. MicroRNA expression obtained before and after ozone exposure was also used to identify changes associated with neutrophil counts in the airway.Measurements and Main Results: Six microRNA modules were associated with clinical features of asthma. A single module (nely) was associated with a history of hospitalizations, lung function impairment, and numbers of neutrophils and lymphocytes in the sputum. Of the 12 microRNAs in the nely module, hsa-miR-223-3p was the highest expressed microRNA in neutrophils and was associated with increased neutrophil counts in the sputum in response to ozone exposure. Multiple microRNAs in the nely module correlated with two mRNA modules enriched for TLR (Toll-like receptor) and T-helper cell type 17 (Th17) signaling and endoplasmic reticulum stress. hsa-miR-223-3p was a key regulator of the TLR and Th17 pathways in the sputum of subjects with asthma.Conclusions: This study of sputum microRNA and mRNA expression from patients with asthma demonstrates the existence of microRNA networks and genes that are associated with features of asthma severity. Among these, hsa-miR-223-3p, a neutrophil-derived microRNA, regulates TLR/Th17 signaling and endoplasmic reticulum stress.Rationale: MicroRNAs are potent regulators of biologic systems that are critical to tissue homeostasis. Individual microRNAs have been identified in airway samples. However, a systems analysis of the microRNA-mRNA networks present in the sputum that contribute to airway inflammation in asthma has not been published.Objectives: Identify microRNA and mRNA networks in the sputum of patients with asthma.Methods: We conducted a genome-wide analysis of microRNA and mRNA in the sputum from patients with asthma and correlated expression with clinical phenotypes. Weighted gene correlation network analysis was implemented to identify microRNA networks (modules) that significantly correlate with clinical features of asthma and mRNA expression networks. MicroRNA expression in peripheral blood neutrophils and lymphocytes and in situ hybridization of the sputum were used to identify the cellular sources of microRNAs. MicroRNA expression obtained before and after ozone exposure was also used to identify changes associated with neutrophil counts in the airway.Measurements and Main Results: Six microRNA modules were associated with clinical features of asthma. A single module (nely) was associated with a history of hospitalizations, lung function impairment, and numbers of neutrophils and lymphocytes in the sputum. Of the 12 microRNAs in the nely module, hsa-miR-223-3p was the highest expressed microRNA in neutrophils and was associated with increased neutrophil counts in the sputum in response to ozone exposure. Multiple microRNAs in the nely module correlated with two mRNA modules enriched for TLR (Toll-like receptor) and T-helper cell type 17 (Th17) signaling and endoplasmic reticulum stress. hsa-miR-223-3p was a key regulator of the TLR and Th17 pathways in the sputum of subjects with asthma.Conclusions: This study of sputum microRNA and mRNA expression from patients with asthma demonstrates the existence of microRNA networks and genes that are associated with features of asthma severity. Among these, hsa-miR-223-3p, a neutrophil-derived microRNA, regulates TLR/Th17 signaling and endoplasmic reticulum stress. Rationale: MicroRNAs are potent regulators of biologic systems that are critical to tissue homeostasis. Individual microRNAs have been identified in airway samples. However, a systems analysis of the microRNA–mRNA networks present in the sputum that contribute to airway inflammation in asthma has not been published. Objectives: Identify microRNA and mRNA networks in the sputum of patients with asthma. Methods: We conducted a genome-wide analysis of microRNA and mRNA in the sputum from patients with asthma and correlated expression with clinical phenotypes. Weighted gene correlation network analysis was implemented to identify microRNA networks (modules) that significantly correlate with clinical features of asthma and mRNA expression networks. MicroRNA expression in peripheral blood neutrophils and lymphocytes and in situ hybridization of the sputum were used to identify the cellular sources of microRNAs. MicroRNA expression obtained before and after ozone exposure was also used to identify changes associated with neutrophil counts in the airway. Measurements and Main Results: Six microRNA modules were associated with clinical features of asthma. A single module ( nely ) was associated with a history of hospitalizations, lung function impairment, and numbers of neutrophils and lymphocytes in the sputum. Of the 12 microRNAs in the nely module, hsa-miR-223-3p was the highest expressed microRNA in neutrophils and was associated with increased neutrophil counts in the sputum in response to ozone exposure. Multiple microRNAs in the nely module correlated with two mRNA modules enriched for TLR (Toll-like receptor) and T-helper cell type 17 (Th17) signaling and endoplasmic reticulum stress. hsa-miR-223-3p was a key regulator of the TLR and Th17 pathways in the sputum of subjects with asthma. Conclusions: This study of sputum microRNA and mRNA expression from patients with asthma demonstrates the existence of microRNA networks and genes that are associated with features of asthma severity. Among these, hsa-miR-223-3p, a neutrophil-derived microRNA, regulates TLR/Th17 signaling and endoplasmic reticulum stress. |
Author | Britto, Clemente Santerian, Kyle Zirn, Nicholas Grant, Nicole Gupta, Amolika Gomez, Jose L. Chen, Ailu Sauler, Maor Rager, Julia Yan, Xiting Stewart, Emma Chupp, Geoffrey L. Liu, Qing Diaz, Maria Paula Fry, Rebecca Cohn, Lauren Alexis, Neil |
Author_xml | – sequence: 1 givenname: Jose L. orcidid: 0000-0002-6521-6318 surname: Gomez fullname: Gomez, Jose L. organization: Pulmonary, Critical Care and Sleep Medicine, Internal Medicine, Yale School of Medicine, New Haven, Connecticut – sequence: 2 givenname: Ailu surname: Chen fullname: Chen, Ailu organization: Pulmonary, Critical Care and Sleep Medicine, Internal Medicine, Yale School of Medicine, New Haven, Connecticut – sequence: 3 givenname: Maria Paula surname: Diaz fullname: Diaz, Maria Paula organization: Pulmonary, Critical Care and Sleep Medicine, Internal Medicine, Yale School of Medicine, New Haven, Connecticut – sequence: 4 givenname: Nicholas surname: Zirn fullname: Zirn, Nicholas organization: Pulmonary, Critical Care and Sleep Medicine, Internal Medicine, Yale School of Medicine, New Haven, Connecticut – sequence: 5 givenname: Amolika surname: Gupta fullname: Gupta, Amolika organization: Pulmonary, Critical Care and Sleep Medicine, Internal Medicine, Yale School of Medicine, New Haven, Connecticut – sequence: 6 givenname: Clemente surname: Britto fullname: Britto, Clemente organization: Pulmonary, Critical Care and Sleep Medicine, Internal Medicine, Yale School of Medicine, New Haven, Connecticut – sequence: 7 givenname: Maor surname: Sauler fullname: Sauler, Maor organization: Pulmonary, Critical Care and Sleep Medicine, Internal Medicine, Yale School of Medicine, New Haven, Connecticut – sequence: 8 givenname: Xiting surname: Yan fullname: Yan, Xiting organization: Pulmonary, Critical Care and Sleep Medicine, Internal Medicine, Yale School of Medicine, New Haven, Connecticut – sequence: 9 givenname: Emma surname: Stewart fullname: Stewart, Emma organization: Pulmonary, Critical Care and Sleep Medicine, Internal Medicine, Yale School of Medicine, New Haven, Connecticut – sequence: 10 givenname: Kyle surname: Santerian fullname: Santerian, Kyle organization: Pulmonary, Critical Care and Sleep Medicine, Internal Medicine, Yale School of Medicine, New Haven, Connecticut – sequence: 11 givenname: Nicole surname: Grant fullname: Grant, Nicole organization: Pulmonary, Critical Care and Sleep Medicine, Internal Medicine, Yale School of Medicine, New Haven, Connecticut – sequence: 12 givenname: Qing surname: Liu fullname: Liu, Qing organization: Pulmonary, Critical Care and Sleep Medicine, Internal Medicine, Yale School of Medicine, New Haven, Connecticut – sequence: 13 givenname: Rebecca surname: Fry fullname: Fry, Rebecca organization: Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina; and – sequence: 14 givenname: Julia surname: Rager fullname: Rager, Julia organization: Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina; and – sequence: 15 givenname: Lauren surname: Cohn fullname: Cohn, Lauren organization: Pulmonary, Critical Care and Sleep Medicine, Internal Medicine, Yale School of Medicine, New Haven, Connecticut – sequence: 16 givenname: Neil surname: Alexis fullname: Alexis, Neil organization: Department of Pediatrics, University of North Carolina, Chapel Hill, North Carolina – sequence: 17 givenname: Geoffrey L. surname: Chupp fullname: Chupp, Geoffrey L. organization: Pulmonary, Critical Care and Sleep Medicine, Internal Medicine, Yale School of Medicine, New Haven, Connecticut |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32255668$$D View this record in MEDLINE/PubMed |
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Snippet | MicroRNAs are potent regulators of biologic systems that are critical to tissue homeostasis. Individual microRNAs have been identified in airway samples.... Gomez et al present study on the sputum microRNAs with neutrophilic airway inflammation in asthma patient. They aim to identify microRNA and mRNA networks in... Rationale: MicroRNAs are potent regulators of biologic systems that are critical to tissue homeostasis. Individual microRNAs have been identified in airway... Rationale: MicroRNAs are potent regulators of biologic systems that are critical to tissue homeostasis. Individual microRNAs have been identified in airway... |
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SubjectTerms | Adult Aged Airway management Asthma Asthma - diagnosis Asthma - genetics Asthma - immunology Biomarkers - metabolism Case-Control Studies Cross-Sectional Studies Female Gene Regulatory Networks Genome-Wide Association Study Healthy Volunteers Humans Male Medical research MicroRNAs MicroRNAs - metabolism Middle Aged Neutrophils Neutrophils - metabolism Original Phenotype RNA, Messenger - metabolism Severity of Illness Index Sputum - metabolism |
Title | A Network of Sputum MicroRNAs Is Associated with Neutrophilic Airway Inflammation in Asthma |
URI | https://www.ncbi.nlm.nih.gov/pubmed/32255668 https://www.proquest.com/docview/2422081827 https://www.proquest.com/docview/2387652582 https://pubmed.ncbi.nlm.nih.gov/PMC7328332 |
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