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...

Full description

Saved in:
Bibliographic Details
Published inAmerican journal of respiratory and critical care medicine Vol. 202; no. 1; pp. 51 - 64
Main Authors Gomez, Jose L., Chen, Ailu, Diaz, Maria Paula, Zirn, Nicholas, Gupta, Amolika, Britto, Clemente, Sauler, Maor, Yan, Xiting, Stewart, Emma, Santerian, Kyle, Grant, Nicole, Liu, Qing, Fry, Rebecca, Rager, Julia, Cohn, Lauren, Alexis, Neil, Chupp, Geoffrey L.
Format Journal Article
LanguageEnglish
Published United States American Thoracic Society 01.07.2020
Subjects
Online AccessGet full text

Cover

Loading…
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.
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
BookMark eNp9UUFrFDEYDVKx7dY_4EECXrxMTfJNMpOLMCxqF2oLWkHwELLZjJs6k6xJxqX_vlm3lbYH-Q4JfO893vfeMTrwwVuEXlFySqmo30VjxlNGqKSsYiDI5fwZOqIceFXLhhyUP2mgqmv5_RAdp3RNCGUtJS_QITDGuRDtEfrR4QubtyH-wqHHXzdTnkb82ZkYvlx0CS8S7lIKxulsV3jr8rrApxzDZu0GZ3Dn4lbf4IXvBz2OOrvgsfOFk9ejPkHPez0k-_LunaFvHz9czc-q88tPi3l3XpkaSK4skaZngjWwGwvQUNBluKgFB2mK16UELbm0xrbNUlsBANrUvRRyVS9hht7vdTfTcrQrY32OelCb6EYdb1TQTj3eeLdWP8Mf1QBrAVgReHsnEMPvyaasRpeMHQbtbZiSYtA2gjPe7qBvnkCvwxR9OU-xmjHS0rYcMkOvHzr6Z-U-9wJo94ASdErR9sq4_De-YtANihK1q1jtKlb7itW-4kJlT6j36v8h3QLF0aoE
CitedBy_id crossref_primary_10_3389_fmolb_2022_927549
crossref_primary_10_3390_genes13040588
crossref_primary_10_3390_life13061375
crossref_primary_10_3390_diagnostics12051175
crossref_primary_10_1183_13993003_00502_2023
crossref_primary_10_3390_jpm11040307
crossref_primary_10_3389_fmed_2020_00196
crossref_primary_10_3390_jpm11010060
crossref_primary_10_1016_S2213_2600_24_00250_9
crossref_primary_10_3390_cells13161355
crossref_primary_10_1164_rccm_202103_0552UP
crossref_primary_10_3390_ijms25179425
crossref_primary_10_1152_ajplung_00252_2021
crossref_primary_10_12677_ACM_2023_13122864
crossref_primary_10_3389_fmed_2022_943706
crossref_primary_10_1183_13993003_01294_2021
crossref_primary_10_1177_07482337231156281
crossref_primary_10_1080_02770903_2023_2225605
crossref_primary_10_3390_molecules28104100
crossref_primary_10_1007_s00210_022_02261_z
crossref_primary_10_3390_ijms22020963
crossref_primary_10_1111_cea_14013
crossref_primary_10_1002_mc_23824
crossref_primary_10_1371_journal_pone_0271262
crossref_primary_10_1097_ACI_0000000000001043
crossref_primary_10_1183_16000617_0201_2022
crossref_primary_10_3390_biomedicines10112825
crossref_primary_10_3389_fimmu_2022_901166
crossref_primary_10_3390_ijms24032006
crossref_primary_10_1186_s12931_024_02703_7
crossref_primary_10_1111_raq_12526
crossref_primary_10_1097_ACI_0000000000000969
crossref_primary_10_1111_imcb_12522
crossref_primary_10_3390_biomedicines9050471
crossref_primary_10_1007_s10120_023_01446_6
crossref_primary_10_3390_brainsci13091318
crossref_primary_10_1371_journal_pone_0285721
crossref_primary_10_3390_jpm12010010
crossref_primary_10_3390_ncrna8020027
crossref_primary_10_1007_s11882_023_01101_1
crossref_primary_10_3390_ijms24021628
crossref_primary_10_3390_jpm11020076
crossref_primary_10_1016_j_prp_2024_155147
crossref_primary_10_1155_2021_9938515
crossref_primary_10_1016_j_biopha_2022_112904
crossref_primary_10_1111_all_15884
crossref_primary_10_1152_ajplung_00435_2022
crossref_primary_10_1002_jsp2_1304
crossref_primary_10_1080_21655979_2021_1981796
crossref_primary_10_1183_13993003_00826_2023
crossref_primary_10_1016_j_jaci_2021_12_761
Cites_doi 10.4049/jimmunol.1501965
10.1152/ajplung.00041.2012
10.1152/ajplung.00348.2013
10.1093/bioinformatics/btp616
10.1093/bioinformatics/bts034
10.1034/j.1399-3003.1999.14a08.x
10.1021/acs.chemrestox.7b00221
10.1016/j.jaci.2011.08.011
10.1084/jem.20160462
10.4049/jimmunol.1601727
10.1084/jem.20121200
10.1164/rccm.201107-1317PP
10.1038/nbt.1621
10.1126/scitranslmed.aab3142
10.1038/ni.3026
10.1165/rcmb.2013-0067OC
10.1038/cmi.2012.55
10.1371/journal.pone.0016509
10.1073/pnas.0905063106
10.4049/jimmunol.0803560
10.1016/j.jaci.2016.02.018
10.1016/j.celrep.2017.08.060
10.1523/JNEUROSCI.2745-11.2011
10.1016/j.jaci.2007.09.029
10.3109/01902148.2015.1090501
10.1164/rccm.201502-0280OC
10.1164/rccm.201201-0027OC
10.3389/fimmu.2018.00175
10.1016/j.cell.2004.12.035
10.1038/s41467-017-02406-2
10.1074/jbc.M110.169367
10.1016/j.jaci.2012.11.039
10.1183/13993003.00800-2017
10.1016/j.jaci.2016.01.029
10.1074/jbc.M110.101147
10.1371/journal.pone.0157998
10.1186/1471-2105-9-559
10.1164/rccm.201408-1440OC
10.1007/s10875-012-9840-7
10.4049/jimmunol.1201516
10.1016/j.jaci.2013.11.008
10.1164/rccm.200903-0325OC
10.1074/jbc.M110.145698
10.1016/j.jaci.2016.04.038
10.1371/journal.pone.0026133
10.1183/09031936.96.09061174
10.1056/NEJMoa073600
10.1164/rccm.201706-1070OC
ContentType Journal Article
Copyright Copyright American Thoracic Society Jul 1, 2020
Copyright © 2020 by the American Thoracic Society 2020
Copyright_xml – notice: Copyright American Thoracic Society Jul 1, 2020
– notice: Copyright © 2020 by the American Thoracic Society 2020
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
K9.
NAPCQ
7X8
5PM
DOI 10.1164/rccm.201912-2360OC
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
ProQuest Health & Medical Complete (Alumni)
Nursing & Allied Health Premium
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
ProQuest Health & Medical Complete (Alumni)
Nursing & Allied Health Premium
MEDLINE - Academic
DatabaseTitleList MEDLINE
ProQuest Health & Medical Complete (Alumni)
MEDLINE - Academic

Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 1535-4970
EndPage 64
ExternalDocumentID PMC7328332
32255668
10_1164_rccm_201912_2360OC
Genre Research Support, U.S. Gov't, Non-P.H.S
Journal Article
Research Support, N.I.H., Extramural
GrantInformation_xml – fundername: NCCIH NIH HHS
  grantid: P01 AT002620
– fundername: NLM NIH HHS
  grantid: R21 LM012884
– fundername: NHLBI NIH HHS
  grantid: R01 HL118346
– fundername: NIEHS NIH HHS
  grantid: P30 ES010126
– fundername: NIEHS NIH HHS
  grantid: R01 ES019315
– fundername: NHLBI NIH HHS
  grantid: K01 HL125474
– fundername: NIEHS NIH HHS
  grantid: T32 ES007018
– fundername: NCATS NIH HHS
  grantid: UL1 TR001863
– fundername: NIEHS NIH HHS
  grantid: RC1 ES018417
– fundername: NIAID NIH HHS
  grantid: U19 AI077437
GroupedDBID ---
-~X
.55
0R~
23M
2WC
34G
39C
53G
5GY
5RE
7RV
7X7
8C1
8FW
8R4
8R5
AAQQT
AAWTL
AAYXX
ABJNI
ABOCM
ABPMR
ACGFO
ACGFS
ADBBV
AENEX
AFCHL
AHMBA
ALIPV
ALMA_UNASSIGNED_HOLDINGS
BAWUL
BENPR
BPHCQ
C45
CITATION
CS3
DIK
E3Z
EBS
EJD
EMOBN
EX3
F5P
FRP
GX1
H13
HZ~
IH2
J5H
KQ8
L7B
M5~
O9-
OBH
OFXIZ
OGEVE
OK1
OVD
OVIDX
P2P
PCD
PQQKQ
Q2X
RWL
SJN
TAE
TEORI
THO
TR2
W8F
WH7
WOQ
WOW
X7M
YJK
~02
CGR
CUY
CVF
ECM
EIF
NPM
K9.
NAPCQ
7X8
5PM
ID FETCH-LOGICAL-c430t-e09cf262737373e33713a3a35646539c225b93a959ece87bae6333ac4f969d4b3
ISSN 1073-449X
1535-4970
IngestDate Thu Aug 21 18:23:27 EDT 2025
Fri Jul 11 15:25:05 EDT 2025
Sun Jul 13 03:54:47 EDT 2025
Mon Jul 21 05:50:51 EDT 2025
Tue Jul 01 02:01:13 EDT 2025
Thu Apr 24 23:12:37 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Keywords microRNAs
severe asthma
gene networks
TH17
hsa-miR-223-3p
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c430t-e09cf262737373e33713a3a35646539c225b93a959ece87bae6333ac4f969d4b3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0002-6521-6318
OpenAccessLink https://www.ncbi.nlm.nih.gov/pmc/articles/7328332
PMID 32255668
PQID 2422081827
PQPubID 40575
PageCount 14
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_7328332
proquest_miscellaneous_2387652582
proquest_journals_2422081827
pubmed_primary_32255668
crossref_citationtrail_10_1164_rccm_201912_2360OC
crossref_primary_10_1164_rccm_201912_2360OC
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2020-07-01
20200701
PublicationDateYYYYMMDD 2020-07-01
PublicationDate_xml – month: 07
  year: 2020
  text: 2020-07-01
  day: 01
PublicationDecade 2020
PublicationPlace United States
PublicationPlace_xml – name: United States
– name: New York
PublicationTitle American journal of respiratory and critical care medicine
PublicationTitleAlternate Am J Respir Crit Care Med
PublicationYear 2020
Publisher American Thoracic Society
Publisher_xml – name: American Thoracic Society
References bib50
bib51
Perry MM (bib16) 2014; 50
bib14
bib36
bib15
bib37
bib12
bib34
bib13
bib35
bib10
bib32
bib11
bib33
bib30
bib31
bib29
bib49
bib28
bib40
bib25
bib47
bib26
bib48
bib23
bib45
bib24
bib46
bib21
bib22
bib44
bib41
bib20
bib42
bib9
bib7
bib8
bib5
bib18
bib6
bib19
bib38
bib4
bib17
bib39
bib1
bib2
32352833 - Am J Respir Crit Care Med. 2020 Jul 1;202(1):4-6. doi: 10.1164/rccm.202004-1216ED
References_xml – ident: bib51
  doi: 10.4049/jimmunol.1501965
– ident: bib14
  doi: 10.1152/ajplung.00041.2012
– ident: bib25
  doi: 10.1152/ajplung.00348.2013
– ident: bib28
  doi: 10.1093/bioinformatics/btp616
– ident: bib26
  doi: 10.1093/bioinformatics/bts034
– ident: bib32
  doi: 10.1034/j.1399-3003.1999.14a08.x
– ident: bib31
  doi: 10.1021/acs.chemrestox.7b00221
– ident: bib17
  doi: 10.1016/j.jaci.2011.08.011
– ident: bib34
  doi: 10.1084/jem.20160462
– ident: bib50
  doi: 10.4049/jimmunol.1601727
– ident: bib5
  doi: 10.1084/jem.20121200
– ident: bib23
  doi: 10.1164/rccm.201107-1317PP
– ident: bib29
  doi: 10.1038/nbt.1621
– ident: bib36
  doi: 10.1126/scitranslmed.aab3142
– ident: bib6
  doi: 10.1038/ni.3026
– volume: 50
  start-page: 7
  year: 2014
  ident: bib16
  publication-title: Am J Respir Cell Mol Biol
  doi: 10.1165/rcmb.2013-0067OC
– ident: bib35
  doi: 10.1038/cmi.2012.55
– ident: bib46
  doi: 10.1371/journal.pone.0016509
– ident: bib7
  doi: 10.1073/pnas.0905063106
– ident: bib11
  doi: 10.4049/jimmunol.0803560
– ident: bib39
  doi: 10.1016/j.jaci.2016.02.018
– ident: bib42
  doi: 10.1016/j.celrep.2017.08.060
– ident: bib15
  doi: 10.1523/JNEUROSCI.2745-11.2011
– ident: bib22
  doi: 10.1016/j.jaci.2007.09.029
– ident: bib44
  doi: 10.3109/01902148.2015.1090501
– ident: bib41
  doi: 10.1164/rccm.201502-0280OC
– ident: bib18
  doi: 10.1164/rccm.201201-0027OC
– ident: bib37
  doi: 10.3389/fimmu.2018.00175
– ident: bib1
  doi: 10.1016/j.cell.2004.12.035
– ident: bib49
  doi: 10.1038/s41467-017-02406-2
– ident: bib9
  doi: 10.1074/jbc.M110.169367
– ident: bib2
  doi: 10.1016/j.jaci.2012.11.039
– ident: bib21
  doi: 10.1183/13993003.00800-2017
– ident: bib47
  doi: 10.1016/j.jaci.2016.01.029
– ident: bib12
  doi: 10.1074/jbc.M110.101147
– ident: bib40
  doi: 10.1371/journal.pone.0157998
– ident: bib30
  doi: 10.1186/1471-2105-9-559
– ident: bib20
  doi: 10.1164/rccm.201408-1440OC
– ident: bib48
  doi: 10.1007/s10875-012-9840-7
– ident: bib33
  doi: 10.4049/jimmunol.1201516
– ident: bib8
  doi: 10.1016/j.jaci.2013.11.008
– ident: bib13
  doi: 10.1164/rccm.200903-0325OC
– ident: bib4
  doi: 10.1074/jbc.M110.145698
– ident: bib45
  doi: 10.1016/j.jaci.2016.04.038
– ident: bib10
  doi: 10.1371/journal.pone.0026133
– ident: bib24
  doi: 10.1183/09031936.96.09061174
– ident: bib19
  doi: 10.1056/NEJMoa073600
– ident: bib38
  doi: 10.1164/rccm.201706-1070OC
– reference: 32352833 - Am J Respir Crit Care Med. 2020 Jul 1;202(1):4-6. doi: 10.1164/rccm.202004-1216ED
SSID ssj0012810
Score 2.5354278
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...
SourceID pubmedcentral
proquest
pubmed
crossref
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage 51
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
Volume 202
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1ta9swEBahg9IvY-_L1g0N9i24SyRZiT6asq0dSxgjhbB9MJIiE0NjB8dmrP9w_2onyXacZoytGEzwm2Ld49Od7u4RQm-FMlSZpQgkI0nAJFGBkloGI7IcaanpSLno-XTGL67Yp0W46PV-dbKWqlKd6Zs_1pXcRapwDORqq2T_Q7LtQ-EA_Ab5wh4kDPt_knFk63VtZpUrPdlUZbW2efBF_nUWbQeX27bzmxzzmanKIt_YSRQ9iNLih_wJGiIBVPgKRjf7sS1XtbJu2GmbqE6HZqLohOhdaVyzZIJLJbsdsf-Yr_1MtQ04DD6f7ZIKvNaL0uuqNalTeVNXEaXSZS62I8e31KceA3ytS743ZQH-aZPeWnaqBOBfz1cAcw0vXGeodvQwaJ6AMbfKLgxTjW4O7YJ4w67yJkNygFKvimseWz-oe6b0w-GCM5BxobXlJADPlQSE8qFn0-zgZ7N2ALK6D6zfyW7obBMav0zPLesRpWAN3CPgsbi680WbbWTjlZ4Yo36vpn6Ls3eHzZ-g46atfXPpwAe6ncrbsY3mD9D92qnBkUfoQ9Qz2SN0PK1B8Bh9j3ANVJwn2AMVt0DFl1u8Ayq2QMVdoGIPVNwFKk4z7IH6BF19eD8_vwjqVT0CzeiwDMxQ6IRwMJvtZigdj6iELeSW6k9oeHElqBShMNpMxkoaTimVmiWCiyVT9Ck6yvLMPEdYcqqkXWhL8AkTYHoqLYkUieJw4zDRfTRqOi_WNeW9XXnlOnauL2ex7fvY933s-76PBu09G0_48terTxuZxPU3uI3B6iWWKZKM--hNexrUto3FyczkFVxDwQwJSTghffTMi7BtrpF9H433hNteYCnh989k6cpRw9cgfHHnO1-ik90Xe4qOyqIyr8DsLtVrB-jf2LHbOA
linkProvider Geneva Foundation for Medical Education and Research
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+Network+of+Sputum+MicroRNAs+Is+Associated+with+Neutrophilic+Airway+Inflammation+in+Asthma&rft.jtitle=American+journal+of+respiratory+and+critical+care+medicine&rft.au=Gomez%2C+Jose+L.&rft.au=Chen%2C+Ailu&rft.au=Diaz%2C+Maria+Paula&rft.au=Zirn%2C+Nicholas&rft.date=2020-07-01&rft.pub=American+Thoracic+Society&rft.issn=1073-449X&rft.eissn=1535-4970&rft.volume=202&rft.issue=1&rft.spage=51&rft.epage=64&rft_id=info:doi/10.1164%2Frccm.201912-2360OC&rft_id=info%3Apmid%2F32255668&rft.externalDocID=PMC7328332
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1073-449X&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1073-449X&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1073-449X&client=summon