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Gene Expression Profiling in Blood Provides Reproducible Molecular Insights into Asthma Control.

Citation
Croteau-Chonka, D. C., et al. “Gene Expression Profiling In Blood Provides Reproducible Molecular Insights Into Asthma Control.”. American Journal Of Respiratory And Critical Care Medicine, pp. 179-188.
Center University of Chicago
Author Damien C Croteau-Chonka, Weiliang Qiu, Fernando D Martinez, Robert C Strunk, Robert F Lemanske, Andrew H Liu, Frank D Gilliland, Joshua Millstein, James Gauderman, Carole Ober, Jerry A Krishnan, Steven R White, Edward T Naureckas, Dan L Nicolae, Kathleen C Barnes, Stephanie J London, Albino Barraza-Villarreal, Vincent J Carey, Scott T Weiss, Benjamin A Raby, Asthma BioRepository for Integrative Genomic Exploration Consortium
Keywords asthma, blood, exacerbation, gene expression, genomics
Abstract

RATIONALE: Maintaining optimal symptom control remains the primary objective of asthma treatment. Better understanding of the biologic underpinnings of asthma control may lead to the development of improved clinical and pharmaceutical approaches.

OBJECTIVES: To identify molecular pathways and interrelated genes whose differential expression was associated with asthma control.

METHODS: We performed gene set enrichment analyses of asthma control in 1,170 adults with asthma, each with gene expression data derived from either whole blood (WB) or unstimulated CD4 T lymphocytes (CD4), and a self-reported asthma control score representing either the preceding 6 months (chronic) or 7 days (acute). Our study comprised a discovery WB cohort (n = 245, chronic) and three independent, nonoverlapping replication cohorts: a second WB set (n = 448, acute) and two CD4 sets (n = 300, chronic; n = 77, acute).

MEASUREMENTS AND MAIN RESULTS: In the WB discovery cohort, we found significant overrepresentation of genes associated with asthma control in 1,106 gene sets from the Molecular Signatures Database (false discovery rate, <5%). Of these, 583 (53%) replicated in at least one replication cohort (false discovery rate, <25%). Suboptimal control was associated with signatures of eosinophilic and granulocytic inflammatory signals, whereas optimal control signatures were enriched for immature lymphocytic patterns. These signatures included two related biologic processes related to activation by TREM-1 (triggering receptor expressed on myeloid cells 1) and lipopolysaccharide.

CONCLUSIONS: Together, these results demonstrate the existence of specific, reproducible transcriptomic components in blood that vary with degree of asthma control and implicate a novel biologic target (TREM-1).

Year of Publication
2017
Journal
American journal of respiratory and critical care medicine
Volume
195
Issue
2
Number of Pages
179-188
Date Published
12/2017
ISSN Number
1535-4970
DOI
10.1164/rccm.201601-0107OC
Alternate Journal
Am. J. Respir. Crit. Care Med.
PMID
27494826
PMCID
PMC5394783
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