A Transcriptomic Method to Determine Airway Immune Dysfunction in T2-High and T2-Low Asthma

Type 2 (T2) inflammation drives airway dysfunction in many patients with asthma; yet, we lack a comprehensive understanding of the airway immune cell types and networks that sustain this inflammation. Moreover, defects in the airway immune system in patients with asthma without T2 inflammation are n...

Full description

Saved in:
Bibliographic Details
Published inAmerican journal of respiratory and critical care medicine Vol. 199; no. 4; pp. 465 - 477
Main Authors Peters, Michael C., Ringel, Lando, Dyjack, Nathan, Herrin, Rachelle, Woodruff, Prescott G., Rios, Cydney, O’Connor, Brian, Fahy, John V., Seibold, Max A.
Format Journal Article
LanguageEnglish
Published United States American Thoracic Society 15.02.2019
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Type 2 (T2) inflammation drives airway dysfunction in many patients with asthma; yet, we lack a comprehensive understanding of the airway immune cell types and networks that sustain this inflammation. Moreover, defects in the airway immune system in patients with asthma without T2 inflammation are not established. To determine the gene networks that sustain T2 airway inflammation in T2-high asthma and to explore the gene networks that characterize T2-low asthma. Network analysis of sputum cell transcriptome expression data from 84 subjects with asthma and 27 healthy control subjects was used to identify immune cell type-enriched networks that underlie asthma subgroups. Sputum T2 gene expression was characterized by an immune cell network derived from multiple innate immune cells, including eosinophils, mast cells/basophils, and inflammatory dendritic cells. Clustering of subjects within this network stratified subjects into T2-high and T2-low groups, but it also revealed a subgroup of T2-high subjects with uniformly higher expression of the T2 network. These "T2-ultrahigh subjects" were characterized clinically by older age and more severe airflow obstruction and pathologically by a second T2 network derived from T2-skewed, CD11b /CD103 /IRF4 classical dendritic cells. Subjects with T2-low asthma were differentiated from healthy control subjects by lower expression of a cytotoxic CD8 T-cell network, which was negatively correlated with body mass index and plasma IL-6 concentrations. Persistent airway T2 inflammation is a complex construct of innate and adaptive immunity gene expression networks that are variable across individuals with asthma and persist despite steroid treatment. Individuals with T2-low asthma exhibit an airway deficiency in cytotoxic T cells associated with obesity-driven inflammation.
AbstractList Type 2 (T2) inflammation drives airway dysfunction in many patients with asthma; yet, we lack a comprehensive understanding of the airway immune cell types and networks that sustain this inflammation. Moreover, defects in the airway immune system in patients with asthma without T2 inflammation are not established.BACKGROUNDType 2 (T2) inflammation drives airway dysfunction in many patients with asthma; yet, we lack a comprehensive understanding of the airway immune cell types and networks that sustain this inflammation. Moreover, defects in the airway immune system in patients with asthma without T2 inflammation are not established.To determine the gene networks that sustain T2 airway inflammation in T2-high asthma and to explore the gene networks that characterize T2-low asthma.OBJECTIVESTo determine the gene networks that sustain T2 airway inflammation in T2-high asthma and to explore the gene networks that characterize T2-low asthma.Network analysis of sputum cell transcriptome expression data from 84 subjects with asthma and 27 healthy control subjects was used to identify immune cell type-enriched networks that underlie asthma subgroups.METHODSNetwork analysis of sputum cell transcriptome expression data from 84 subjects with asthma and 27 healthy control subjects was used to identify immune cell type-enriched networks that underlie asthma subgroups.Sputum T2 gene expression was characterized by an immune cell network derived from multiple innate immune cells, including eosinophils, mast cells/basophils, and inflammatory dendritic cells. Clustering of subjects within this network stratified subjects into T2-high and T2-low groups, but it also revealed a subgroup of T2-high subjects with uniformly higher expression of the T2 network. These "T2-ultrahigh subjects" were characterized clinically by older age and more severe airflow obstruction and pathologically by a second T2 network derived from T2-skewed, CD11b+/CD103-/IRF4+ classical dendritic cells. Subjects with T2-low asthma were differentiated from healthy control subjects by lower expression of a cytotoxic CD8+ T-cell network, which was negatively correlated with body mass index and plasma IL-6 concentrations.RESULTSSputum T2 gene expression was characterized by an immune cell network derived from multiple innate immune cells, including eosinophils, mast cells/basophils, and inflammatory dendritic cells. Clustering of subjects within this network stratified subjects into T2-high and T2-low groups, but it also revealed a subgroup of T2-high subjects with uniformly higher expression of the T2 network. These "T2-ultrahigh subjects" were characterized clinically by older age and more severe airflow obstruction and pathologically by a second T2 network derived from T2-skewed, CD11b+/CD103-/IRF4+ classical dendritic cells. Subjects with T2-low asthma were differentiated from healthy control subjects by lower expression of a cytotoxic CD8+ T-cell network, which was negatively correlated with body mass index and plasma IL-6 concentrations.Persistent airway T2 inflammation is a complex construct of innate and adaptive immunity gene expression networks that are variable across individuals with asthma and persist despite steroid treatment. Individuals with T2-low asthma exhibit an airway deficiency in cytotoxic T cells associated with obesity-driven inflammation.CONCLUSIONSPersistent airway T2 inflammation is a complex construct of innate and adaptive immunity gene expression networks that are variable across individuals with asthma and persist despite steroid treatment. Individuals with T2-low asthma exhibit an airway deficiency in cytotoxic T cells associated with obesity-driven inflammation.
Background: Type 2 (T2) inflammation drives airway dysfunction in many patients with asthma; yet, we lack a comprehensive understanding of the airway immune cell types and networks that sustain this inflammation. Moreover, defects in the airway immune system in patients with asthma without T2 inflammation are not established. Objectives: To determine the gene networks that sustain T2 airway inflammation in T2-high asthma and to explore the gene networks that characterize T2-low asthma. Methods: Network analysis of sputum cell transcriptome expression data from 84 subjects with asthma and 27 healthy control subjects was used to identify immune cell type-enriched networks that underlie asthma subgroups. Results: Sputum T2 gene expression was characterized by an immune cell network derived from multiple innate immune cells, including eosinophils, mast cells/basophils, and inflammatory dendritic cells. Clustering of subjects within this network stratified subjects into T2-high and T2-low groups, but it also revealed a subgroup of T2-high subjects with uniformly higher expression of the T2 network. These "T2-ultrahigh subjects" were characterized clinically by older age and more severe airflow obstruction and pathologically by a second T2 network derived from T2-skewed, CD11b+/CD1032/IRF4+ classical dendritic cells. Subjects with T2low asthma were differentiated from healthy control subjects by lower expression of a cytotoxic CD81 T-cell network, which was negatively correlated with body mass index and plasma IL-6 concentrations. Conclusions: Persistent airway T2 inflammation is a complex construct of innate and adaptive immunity gene expression networks that are variable across individuals with asthma and persist despite steroid treatment. Individuals with T2-low asthma exhibit an airway deficiency in cytotoxic T cells associated with obesity-driven inflammation.
Background: Type 2 (T2) inflammation drives airway dysfunction in many patients with asthma; yet, we lack a comprehensive understanding of the airway immune cell types and networks that sustain this inflammation. Moreover, defects in the airway immune system in patients with asthma without T2 inflammation are not established. Objectives: To determine the gene networks that sustain T2 airway inflammation in T2-high asthma and to explore the gene networks that characterize T2-low asthma. Methods: Network analysis of sputum cell transcriptome expression data from 84 subjects with asthma and 27 healthy control subjects was used to identify immune cell type–enriched networks that underlie asthma subgroups. Results: Sputum T2 gene expression was characterized by an immune cell network derived from multiple innate immune cells, including eosinophils, mast cells/basophils, and inflammatory dendritic cells. Clustering of subjects within this network stratified subjects into T2-high and T2-low groups, but it also revealed a subgroup of T2-high subjects with uniformly higher expression of the T2 network. These “T2-ultrahigh subjects” were characterized clinically by older age and more severe airflow obstruction and pathologically by a second T2 network derived from T2-skewed, CD11b + /CD103 − /IRF4 + classical dendritic cells. Subjects with T2-low asthma were differentiated from healthy control subjects by lower expression of a cytotoxic CD8 + T-cell network, which was negatively correlated with body mass index and plasma IL-6 concentrations. Conclusions: Persistent airway T2 inflammation is a complex construct of innate and adaptive immunity gene expression networks that are variable across individuals with asthma and persist despite steroid treatment. Individuals with T2-low asthma exhibit an airway deficiency in cytotoxic T cells associated with obesity-driven inflammation.
Type 2 (T2) inflammation drives airway dysfunction in many patients with asthma; yet, we lack a comprehensive understanding of the airway immune cell types and networks that sustain this inflammation. Moreover, defects in the airway immune system in patients with asthma without T2 inflammation are not established. To determine the gene networks that sustain T2 airway inflammation in T2-high asthma and to explore the gene networks that characterize T2-low asthma. Network analysis of sputum cell transcriptome expression data from 84 subjects with asthma and 27 healthy control subjects was used to identify immune cell type-enriched networks that underlie asthma subgroups. Sputum T2 gene expression was characterized by an immune cell network derived from multiple innate immune cells, including eosinophils, mast cells/basophils, and inflammatory dendritic cells. Clustering of subjects within this network stratified subjects into T2-high and T2-low groups, but it also revealed a subgroup of T2-high subjects with uniformly higher expression of the T2 network. These "T2-ultrahigh subjects" were characterized clinically by older age and more severe airflow obstruction and pathologically by a second T2 network derived from T2-skewed, CD11b /CD103 /IRF4 classical dendritic cells. Subjects with T2-low asthma were differentiated from healthy control subjects by lower expression of a cytotoxic CD8 T-cell network, which was negatively correlated with body mass index and plasma IL-6 concentrations. Persistent airway T2 inflammation is a complex construct of innate and adaptive immunity gene expression networks that are variable across individuals with asthma and persist despite steroid treatment. Individuals with T2-low asthma exhibit an airway deficiency in cytotoxic T cells associated with obesity-driven inflammation.
Author Peters, Michael C.
Rios, Cydney
Herrin, Rachelle
Woodruff, Prescott G.
Fahy, John V.
Ringel, Lando
O’Connor, Brian
Seibold, Max A.
Dyjack, Nathan
Author_xml – sequence: 1
  givenname: Michael C.
  orcidid: 0000-0003-1854-4447
  surname: Peters
  fullname: Peters, Michael C.
  organization: Division of Pulmonary and Critical Care Medicine, Department of Medicine, and, Cardiovascular Research Institute, University of California, San Francisco, San Francisco, California
– sequence: 2
  givenname: Lando
  surname: Ringel
  fullname: Ringel, Lando
  organization: Center for Genes, Environment, and Health and
– sequence: 3
  givenname: Nathan
  surname: Dyjack
  fullname: Dyjack, Nathan
  organization: Center for Genes, Environment, and Health and
– sequence: 4
  givenname: Rachelle
  surname: Herrin
  fullname: Herrin, Rachelle
  organization: Center for Genes, Environment, and Health and
– sequence: 5
  givenname: Prescott G.
  surname: Woodruff
  fullname: Woodruff, Prescott G.
  organization: Division of Pulmonary and Critical Care Medicine, Department of Medicine, and, Cardiovascular Research Institute, University of California, San Francisco, San Francisco, California
– sequence: 6
  givenname: Cydney
  surname: Rios
  fullname: Rios, Cydney
  organization: Center for Genes, Environment, and Health and
– sequence: 7
  givenname: Brian
  surname: O’Connor
  fullname: O’Connor, Brian
  organization: Center for Genes, Environment, and Health and
– sequence: 8
  givenname: John V.
  surname: Fahy
  fullname: Fahy, John V.
  organization: Division of Pulmonary and Critical Care Medicine, Department of Medicine, and, Cardiovascular Research Institute, University of California, San Francisco, San Francisco, California
– sequence: 9
  givenname: Max A.
  orcidid: 0000-0002-8685-4263
  surname: Seibold
  fullname: Seibold, Max A.
  organization: Center for Genes, Environment, and Health and, Department of Pediatrics, National Jewish Health, Denver, Colorado; and, Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado – Anschutz Medical Campus, Aurora, Colorado
BackLink https://www.ncbi.nlm.nih.gov/pubmed/30371106$$D View this record in MEDLINE/PubMed
BookMark eNp9kUtv3CAUhVGUKq_2D2RRIWXTjVPAgM0m0mjSPKSpsplFpS4QxjhDZGAKuNH8-2JNGqVZlA33iu8c3cs5BYc-eAPAOUaXGHP6NWrtLgnCLWoqTAR-WB6AE8xqVlHRoMNSo6auKBU_jsFpSk8IYdJidASOa1Q3GCN-An4u4Doqn3S02xyc1fC7yZvQwxzgtckmOusNXNj4rHbw3rmpdNe7NExeZxs8tB6uSXVnHzdQ-X6uV-EZLlLeOPURfBjUmMynl_sMrG--rZd31erh9n65WFWaMpIrwztMOzMf0olOa05rMfSqoQjjrmOoa7gazDBwxuuyLOKc8laLXvVMa1afgau97XbqnOm18TmqUW6jdSruZFBW_vvi7UY-ht-S1w3nhBSDLy8GMfyaTMrS2aTNOCpvwpQkwYQLRASb0Yt36FOYoi_bFarlnAnBcKE-v53odZS_314Asgd0DClFM7wiGMk5WzlnK_fZyn22RdS-E2mb1ZxC2cqO_5P-AeaUqn8
CitedBy_id crossref_primary_10_1016_j_jaip_2019_04_043
crossref_primary_10_1016_j_jaip_2023_05_028
crossref_primary_10_3390_ijerph19020636
crossref_primary_10_1186_s12951_022_01343_7
crossref_primary_10_1164_rccm_201811_2221OC
crossref_primary_10_1016_j_coi_2020_10_002
crossref_primary_10_3389_fphar_2022_836635
crossref_primary_10_1016_j_immuni_2019_03_018
crossref_primary_10_1186_s13223_020_00479_1
crossref_primary_10_1097_ACI_0000000000000547
crossref_primary_10_3390_metabo11070430
crossref_primary_10_3390_medicines9020011
crossref_primary_10_1007_s00408_024_00728_9
crossref_primary_10_3390_ijms25010182
crossref_primary_10_1007_s11882_021_01024_9
crossref_primary_10_3389_fimmu_2024_1481989
crossref_primary_10_1016_S0140_6736_19_33005_3
crossref_primary_10_4168_aair_2021_13_3_375
crossref_primary_10_1016_j_jaip_2020_10_054
crossref_primary_10_1038_s41564_022_01196_8
crossref_primary_10_1038_s41592_022_01461_y
crossref_primary_10_1016_j_jaci_2022_06_010
crossref_primary_10_1016_j_jaip_2019_11_006
crossref_primary_10_1016_j_jaci_2020_07_006
crossref_primary_10_1111_cea_13681
crossref_primary_10_1139_apnm_2022_0276
crossref_primary_10_1164_rccm_201810_2013ED
crossref_primary_10_1002_adfm_202112258
crossref_primary_10_3390_nu13113837
crossref_primary_10_1164_rccm_202006_2531LE
crossref_primary_10_1016_j_jaci_2022_08_016
crossref_primary_10_1164_rccm_201901_0013ED
crossref_primary_10_1016_j_intimp_2025_114360
crossref_primary_10_1111_all_15915
crossref_primary_10_1097_ACI_0000000000000725
crossref_primary_10_3390_jpm11090827
crossref_primary_10_1016_j_it_2022_08_003
crossref_primary_10_1186_s12890_022_01843_0
crossref_primary_10_1038_s12276_023_01053_6
crossref_primary_10_1007_s10753_024_02159_3
crossref_primary_10_1016_j_jaci_2021_12_769
crossref_primary_10_1111_all_15087
crossref_primary_10_1111_resp_14302
crossref_primary_10_3389_fimmu_2019_01051
crossref_primary_10_4049_jimmunol_2000885
crossref_primary_10_3390_ijms25137395
crossref_primary_10_1183_13993003_00826_2023
crossref_primary_10_3389_fimmu_2021_772004
crossref_primary_10_3390_jpm12010066
crossref_primary_10_3390_ijms21030757
crossref_primary_10_1097_MD_0000000000035002
crossref_primary_10_1164_rccm_201909_1813OC
crossref_primary_10_1164_rccm_202003_0821OC
crossref_primary_10_1016_j_jaip_2020_03_044
crossref_primary_10_1016_j_smim_2019_101301
crossref_primary_10_4168_aair_2020_12_3_399
crossref_primary_10_3390_biom12101456
crossref_primary_10_1111_all_15412
crossref_primary_10_1055_s_0042_1742384
crossref_primary_10_1007_s12016_021_08894_x
crossref_primary_10_1007_s10565_024_09928_8
crossref_primary_10_1016_j_celrep_2025_115294
crossref_primary_10_1164_rccm_202402_0403OC
crossref_primary_10_3390_biom14050513
crossref_primary_10_1002_eji_202250106
crossref_primary_10_1016_j_jaci_2019_05_015
crossref_primary_10_2147_COPD_S305380
crossref_primary_10_1016_j_resinv_2020_12_007
crossref_primary_10_1097_MCP_0000000000000646
crossref_primary_10_1038_s41467_020_18781_2
crossref_primary_10_1042_BST20200652
crossref_primary_10_1089_respcare_12352
crossref_primary_10_2147_JAA_S342391
crossref_primary_10_1080_14728222_2023_2177533
crossref_primary_10_1186_s12931_020_01368_2
crossref_primary_10_1097_ACI_0000000000000870
crossref_primary_10_1111_cea_13481
crossref_primary_10_1016_j_jaci_2021_10_035
crossref_primary_10_17116_profmed202427011106
crossref_primary_10_18332_pne_157014
crossref_primary_10_1111_all_14620
crossref_primary_10_1164_rccm_202307_1266OC
crossref_primary_10_1183_16000617_0092_2019
crossref_primary_10_3389_fimmu_2021_640791
crossref_primary_10_1016_j_cell_2021_02_016
crossref_primary_10_1016_j_jacig_2022_04_001
crossref_primary_10_1038_s41467_024_48034_5
crossref_primary_10_1183_13993003_00528_2020
crossref_primary_10_1186_s12931_020_01544_4
crossref_primary_10_1002_adbi_202200296
crossref_primary_10_2147_IJN_S268282
crossref_primary_10_1016_j_jaci_2021_01_033
crossref_primary_10_4168_aair_2024_16_1_55
crossref_primary_10_1080_17476348_2022_2096593
crossref_primary_10_1007_s10238_022_00828_x
crossref_primary_10_1128_spectrum_02593_21
crossref_primary_10_1016_j_jaip_2019_11_020
crossref_primary_10_3390_jcm12196207
crossref_primary_10_1016_j_xcrm_2022_100857
crossref_primary_10_1164_rccm_202003_0596UP
crossref_primary_10_3390_ijms252312633
Cites_doi 10.1016/j.jaci.2017.10.046
10.4049/jimmunol.1500018
10.1186/s13059-014-0550-8
10.1084/jem.20120030
10.1084/jem.20030323
10.1073/pnas.0506580102
10.1016/S2213-2600(17)30293-X
10.1021/ci034160g
10.1038/ncomms15820
10.1016/j.jaci.2010.10.024
10.1016/S2213-2600(16)30048-0
10.1186/ar567
10.1093/nar/gkv1070
10.1038/nri3862
10.1093/bioinformatics/bts034
10.1093/nar/gkv007
10.1371/journal.pone.0067401
10.1038/sj.gene.6364173
10.1016/j.jaci.2013.12.1091
10.1038/mi.2014.109
10.1016/S1074-7613(02)00272-8
10.1111/j.1600-065X.2009.00766.x
10.1183/13993003.01132-2016
10.1183/09031936.00202013
10.1038/nri3786
10.1016/j.jaci.2011.05.016
10.1038/mi.2015.59
10.1111/imr.12100
10.1038/ncomms3990
10.1016/j.jaci.2013.07.036
10.1038/nature12526
10.1038/ni1008-1091
10.3389/fimmu.2014.00217
10.1038/nri1413
10.1074/jbc.M204777200
10.1038/ni1310
10.1038/75556
10.4049/jimmunol.179.6.3515
10.1038/ni.1615
10.1371/journal.pone.0067560
10.1172/jci.insight.87871
10.1073/pnas.1601914113
10.1016/j.jaci.2017.12.1009
10.1016/j.immuni.2012.10.016
10.1183/09031936.96.09122448
ContentType Journal Article
Copyright Copyright American Thoracic Society Feb 15, 2019
Copyright © 2019 by the American Thoracic Society 2019
Copyright_xml – notice: Copyright American Thoracic Society Feb 15, 2019
– notice: Copyright © 2019 by the American Thoracic Society 2019
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
3V.
7RV
7X7
7XB
88E
8AO
8C1
8FI
8FJ
8FK
ABUWG
AFKRA
AN0
BENPR
CCPQU
FYUFA
GHDGH
K9.
KB0
M0S
M1P
NAPCQ
PHGZM
PHGZT
PJZUB
PKEHL
PPXIY
PQEST
PQQKQ
PQUKI
PRINS
7X8
5PM
DOI 10.1164/rccm.201807-1291OC
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
ProQuest Central (Corporate)
Nursing & Allied Health Database
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
ProQuest Pharma Collection
Public Health Database
ProQuest Hospital Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
British Nursing Database (Proquest)
ProQuest Central
ProQuest One Community College
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Health & Medical Complete (Alumni)
Nursing & Allied Health Database (Alumni Edition)
ProQuest Health & Medical Collection
PML(ProQuest Medical Library)
Nursing & Allied Health Premium
ProQuest Central Premium
ProQuest One Academic
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
ProQuest One Academic Middle East (New)
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Pharma Collection
ProQuest Central China
ProQuest Central
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
Health & Medical Research Collection
ProQuest Central (New)
ProQuest Medical Library (Alumni)
ProQuest Public Health
ProQuest One Academic Eastern Edition
British Nursing Index with Full Text
ProQuest Nursing & Allied Health Source
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
ProQuest Hospital Collection (Alumni)
Nursing & Allied Health Premium
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest One Academic UKI Edition
ProQuest Nursing & Allied Health Source (Alumni)
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic
ProQuest One Academic Middle East (New)

MEDLINE
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
– sequence: 3
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Biology
EISSN 1535-4970
EndPage 477
ExternalDocumentID PMC6376622
30371106
10_1164_rccm_201807_1291OC
Genre Research Support, Non-U.S. Gov't
Journal Article
Research Support, N.I.H., Extramural
GrantInformation_xml – fundername: NIMHD NIH HHS
  grantid: R01 MD010443
– fundername: NHLBI NIH HHS
  grantid: U10 HL109146
– fundername: NIAID NIH HHS
  grantid: U19 AI077439
– fundername: NHLBI NIH HHS
  grantid: R01 HL135156
– fundername: NHLBI NIH HHS
  grantid: P01 HL107202
– fundername: NHLBI NIH HHS
  grantid: R01 HL128439
– fundername: NHLBI NIH HHS
  grantid: K23 HL138303
– fundername: NHLBI NIH HHS
  grantid: R01 HL080414
– fundername: NHLBI NIH HHS
  grantid: P01 HL132821
– fundername: NHLBI NIH HHS
  grantid: K24 HL137013
GroupedDBID ---
-~X
.55
0R~
23M
2WC
34G
39C
53G
5GY
5RE
7RV
7X7
88E
8AO
8C1
8FI
8FJ
8FW
8R4
8R5
AAQQT
AAWTL
AAYXX
ABJNI
ABOCM
ABPMR
ABUWG
ACGFO
ACGFS
ADBBV
AENEX
AFCHL
AFKRA
AHMBA
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AN0
BAWUL
BENPR
BKEYQ
BNQBC
BPHCQ
BVXVI
C45
CCPQU
CITATION
CS3
DIK
E3Z
EBS
EJD
EMOBN
EX3
F5P
FRP
FYUFA
GX1
H13
HMCUK
HZ~
IH2
J5H
KQ8
L7B
M1P
M5~
NAPCQ
O9-
OBH
OFXIZ
OGEVE
OK1
OVD
OVIDX
P2P
PCD
PHGZM
PHGZT
PQQKQ
PROAC
PSQYO
Q2X
RWL
SJN
TAE
TEORI
THO
TR2
UKHRP
W8F
WH7
WOQ
WOW
X7M
~02
CGR
CUY
CVF
ECM
EIF
NPM
PJZUB
PPXIY
3V.
7XB
8FK
K9.
PKEHL
PQEST
PQUKI
PRINS
7X8
5PM
ID FETCH-LOGICAL-c452t-e6b14beeeee2b9bcc6439fda74011bb50b76afeff6563180066468c9dad5cc53
IEDL.DBID 7X7
ISSN 1073-449X
1535-4970
IngestDate Thu Aug 21 18:10:22 EDT 2025
Fri Jul 11 12:18:32 EDT 2025
Fri Jul 25 08:24:07 EDT 2025
Mon Jul 21 06:04:29 EDT 2025
Tue Jul 01 02:01:09 EDT 2025
Thu Apr 24 22:55:15 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 4
Keywords asthma
dendritic cells
type 2
CD8 cytotoxic T cells
sputum gene expression
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c452t-e6b14beeeee2b9bcc6439fda74011bb50b76afeff6563180066468c9dad5cc53
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
These authors contributed equally to this work.
ORCID 0000-0003-1854-4447
0000-0002-8685-4263
PMID 30371106
PQID 2186659951
PQPubID 40575
PageCount 13
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_6376622
proquest_miscellaneous_2126902952
proquest_journals_2186659951
pubmed_primary_30371106
crossref_primary_10_1164_rccm_201807_1291OC
crossref_citationtrail_10_1164_rccm_201807_1291OC
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2019-02-15
20190215
PublicationDateYYYYMMDD 2019-02-15
PublicationDate_xml – month: 02
  year: 2019
  text: 2019-02-15
  day: 15
PublicationDecade 2010
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 2019
Publisher American Thoracic Society
Publisher_xml – name: American Thoracic Society
References bib14
bib36
bib15
bib37
bib12
bib34
bib35
bib10
bib32
bib11
bib33
bib30
bib31
bib29
bib27
bib28
bib40
bib25
bib26
bib23
bib45
bib24
bib46
bib21
bib43
bib22
bib44
bib41
bib20
bib42
bib9
bib7
bib8
bib5
bib18
bib6
bib19
bib3
bib16
bib38
bib4
bib17
bib39
bib1
bib2
30407844 - Am J Respir Crit Care Med. 2019 Feb 15;199(4):402-404. doi: 10.1164/rccm.201810-2013ED
References_xml – ident: bib42
  doi: 10.1016/j.jaci.2017.10.046
– ident: bib20
  doi: 10.4049/jimmunol.1500018
– ident: bib17
  doi: 10.1186/s13059-014-0550-8
– ident: bib26
  doi: 10.1084/jem.20120030
– ident: bib27
  doi: 10.1084/jem.20030323
– ident: bib31
  doi: 10.1073/pnas.0506580102
– ident: bib1
  doi: 10.1016/S2213-2600(17)30293-X
– ident: bib14
  doi: 10.1021/ci034160g
– ident: bib29
  doi: 10.1038/ncomms15820
– ident: bib9
  doi: 10.1016/j.jaci.2010.10.024
– ident: bib41
  doi: 10.1016/S2213-2600(16)30048-0
– ident: bib35
  doi: 10.1186/ar567
– ident: bib33
  doi: 10.1093/nar/gkv1070
– ident: bib46
  doi: 10.1038/nri3862
– ident: bib11
  doi: 10.1093/bioinformatics/bts034
– ident: bib12
  doi: 10.1093/nar/gkv007
– ident: bib40
  doi: 10.1371/journal.pone.0067401
– ident: bib19
  doi: 10.1038/sj.gene.6364173
– ident: bib10
  doi: 10.1016/j.jaci.2013.12.1091
– ident: bib22
  doi: 10.1038/mi.2014.109
– ident: bib34
  doi: 10.1016/S1074-7613(02)00272-8
– ident: bib36
  doi: 10.1111/j.1600-065X.2009.00766.x
– ident: bib45
  doi: 10.1183/13993003.01132-2016
– ident: bib2
  doi: 10.1183/09031936.00202013
– ident: bib3
  doi: 10.1038/nri3786
– ident: bib43
  doi: 10.1016/j.jaci.2011.05.016
– ident: bib4
  doi: 10.1038/mi.2015.59
– ident: bib44
  doi: 10.1111/imr.12100
– ident: bib30
  doi: 10.1038/ncomms3990
– ident: bib8
  doi: 10.1016/j.jaci.2013.07.036
– ident: bib5
  doi: 10.1038/nature12526
– ident: bib15
  doi: 10.1038/ni1008-1091
– ident: bib39
  doi: 10.3389/fimmu.2014.00217
– ident: bib38
  doi: 10.1038/nri1413
– ident: bib23
  doi: 10.1074/jbc.M204777200
– ident: bib18
  doi: 10.1038/ni1310
– ident: bib32
  doi: 10.1038/75556
– ident: bib37
  doi: 10.4049/jimmunol.179.6.3515
– ident: bib28
  doi: 10.1038/ni.1615
– ident: bib24
  doi: 10.1371/journal.pone.0067560
– ident: bib25
  doi: 10.1172/jci.insight.87871
– ident: bib21
  doi: 10.1073/pnas.1601914113
– ident: bib7
  doi: 10.1016/j.jaci.2017.12.1009
– ident: bib6
  doi: 10.1016/j.immuni.2012.10.016
– ident: bib16
  doi: 10.1183/09031936.96.09122448
– reference: 30407844 - Am J Respir Crit Care Med. 2019 Feb 15;199(4):402-404. doi: 10.1164/rccm.201810-2013ED
SSID ssj0012810
Score 2.5905893
Snippet Type 2 (T2) inflammation drives airway dysfunction in many patients with asthma; yet, we lack a comprehensive understanding of the airway immune cell types and...
Background: Type 2 (T2) inflammation drives airway dysfunction in many patients with asthma; yet, we lack a comprehensive understanding of the airway immune...
Background: Type 2 (T2) inflammation drives airway dysfunction in many patients with asthma; yet, we lack a comprehensive understanding of the airway immune...
SourceID pubmedcentral
proquest
pubmed
crossref
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage 465
SubjectTerms Adult
Asthma
Asthma - complications
Asthma - immunology
Asthma - metabolism
Biology
Case-Control Studies
CD8-Positive T-Lymphocytes - immunology
CD8-Positive T-Lymphocytes - metabolism
Cytokines
Cytotoxicity
Dendritic cells
Dendritic Cells - metabolism
Dermatitis
Female
Gene expression
Gene Expression Profiling - methods
Gene Expression Regulation
Genomes
Humans
Immunology
Inflammation
Inflammation - immunology
Inflammation - metabolism
Lymphocytes
Male
Metabolism
Middle Aged
Obesity - complications
Obesity - immunology
Obesity - metabolism
Ontology
Original
Sputum - immunology
Title A Transcriptomic Method to Determine Airway Immune Dysfunction in T2-High and T2-Low Asthma
URI https://www.ncbi.nlm.nih.gov/pubmed/30371106
https://www.proquest.com/docview/2186659951
https://www.proquest.com/docview/2126902952
https://pubmed.ncbi.nlm.nih.gov/PMC6376622
Volume 199
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3da9RAEB-0RemL1KpttC0r-CZLk73dze2TXK8tVbwqcsKBD2G_Qg80qXcp5f57d5K96FVoHkIgG5LM7M7HzsxvAN4Ff0u54HJRa4II5MxwarjR1GgTDHIffA6DBc6TK3n5nX-aiVnccFvGtMq1TGwFtast7pGfsBaZTQWD4MPNb4pdozC6GltoPIZthC7DWZ3PeocLg0QdGkE-oJyr2bpoRvKThbVYh54NESORqezLeFMx_Wdt3k-a_EcLXezCs2g-klHH7-fwyFd78KRrKLnag6eTGCp_AT9GpNVDrVTA0mMyaZtFk6YmZzEHxpPRfHGnV-QjVol4crZaop5DXpF5RaaMYhoI0ZXD68_1HRktm-tf-iVML86n40saOylQywVrqJcm48bjwYwy1qIdUjqN7fgyY0RqcqlLX5bBuguLHO0QLodWOe2EtWLwCraquvIHQAZBQmaZl164lLsy1danylnhuChzw10C2ZqKhY0o49js4mfRehuSF0j5oqN80VE-gff9MzcdxsaDow_XzCnielsWf2dHAm_722GlYPhDV76-xTFMqpQpwRLY73jZv26AyIXBO04g3-ByPwBRuDfvVPPrFo1bBhEtGXv98Ge9gZ3wFwrzvTNxCFvN4tYfBXOmMcftnA3n4Tg7hu3T86uv3_4A7pT2Hg
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtR3JbtNA9KkqYrkgKFBcCgwSnNCo9mQ8xgeEooQqoUm5BCkSB2s2q5HAbpNUUT6Kf-Q9bxCQeqtPlma8vf35bQBv0d9KHbpc3BoUgVIYyY00mhtt0CD36HMYKnCenqvRN_llHs_34FdbC0Npla1MrAS1Ky39Iz8RVWe2FA2CT5dXnKZGUXS1HaFRk8WZ327QZVt9HA8Rv--EOP08G4x4M1WAWxmLNffKRNJ4OoRJjbWkk3OnaTRdZEwcmkTp3Oc5WjpI8KSTpfpgU6ddbC0NiUCJf0f2kDOpMH3QZZRQTKpufpD0uJTpvK3RUfJkaS2VvePtEo4aNvo62NWD_xm3_-Zo_qX0Th_Bw8ZaZf2avB7Dni8O4G49v3J7APemTWT-CXzvs0rtVUKIKp3ZtJpNzdYlGzYpN571F8uN3rIxFaV4NtyuSK0SabBFwWaCU9YJ04Wj80m5Yf3V-uKnfgqz2wDxM9gvysI_B9ZDgRxFXvnYhdLlobY-TJ2NnYzzxEgXQNRCMbNNU3OarfEjq5wbJTOCfFZDPqshH8D77prLuqXHjbuPW-RkDXuvsj_EGMCbbhkZk6ItuvDlNe0RKg1FGosADmtcdo_rUaNEdMYDSHaw3G2gpt-7K8Xiomr-rZDulBBHN7_Wa7g_mk0n2WR8fvYCHuAXpZRqHsXHsL9eXvuXaEmtzauKfhlkt8wvvwE6cDGr
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtR3JbtNA9KkqouKCoCx1W2CQ4IRGsSdjOz4gFCVEDW0KhyBF4mDNZjUS2CVxFeXT-Dve8wYBqbf6ZGnG29uf3wbwBv2txKLLxY1GESiFllxLrbhWGg1yhz6HpgLn2WV09lV-WoSLPfjV1sJQWmUrEytBbQtD_8h7ourMlqBB0MuatIgv48mH65-cJkhRpLUdp1GTyLnbbtB9W7-fjhHXb4WYfJyPzngzYYAbGYqSu0gHUjs6hE60MaSfM6toTF2gdejrOFKZyzK0epD4ST_LaGASq2xoDA2MQOl_L-7HA2KxwajLLqH4VN0IIe5zKZNFW68Tyd7KGCqBx9vFHLVt8Hm0qxP_M3T_zdf8SwFOHsHDxnJlw5rUHsOeyw_hfj3LcnsIB7MmSv8Evg1ZpQIrgURVz2xWzalmZcHGTfqNY8PlaqO2bEoFKo6Nt2tSsUQmbJmzueCUgcJUbun8otiw4bq8-qGewvwuQPwM9vMid0fA-iicg8BFLrS-tJmvjPMTa0IrwyzW0noQtFBMTdPgnOZsfE8rRyeSKUE-rSGf1pD34F13zXXd3uPW3actctKG1dfpH8L04HW3jExKkReVu-KG9ogo8UUSCg-e17jsHtenponomHsQ72C520ANwHdX8uVV1Qg8Qu0QCXF8-2u9ggPklPRienl-Ag_wgxLKOg_CU9gvVzfuBRpVpX5ZkS-D9I7Z5TdHkjXh
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+Transcriptomic+Method+to+Determine+Airway+Immune+Dysfunction+in+T2-High+and+T2-Low+Asthma&rft.jtitle=American+journal+of+respiratory+and+critical+care+medicine&rft.au=Peters%2C+Michael+C&rft.au=Ringel%2C+Lando&rft.au=Dyjack%2C+Nathan&rft.au=Herrin%2C+Rachelle&rft.date=2019-02-15&rft.pub=American+Thoracic+Society&rft.issn=1073-449X&rft.eissn=1535-4970&rft.volume=199&rft.issue=4&rft.spage=465&rft.epage=477&rft_id=info:doi/10.1164%2Frccm.201807-1291OC&rft.externalDBID=HAS_PDF_LINK
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