Publication date: November 2018
Source: Journal of Allergy and Clinical Immunology, Volume 142, Issue 5
Author(s): Michael J. McGeachie, George L. Clemmer, Boris Hayete, Heming Xing, Karl Runge, Ann Chen Wu, Xiaofeng Jiang, Quan Lu, Bruce Church, Iya Khalil, Kelan Tantisira, Scott Weiss
Background
Variation in response to the most commonly used class of asthma controller medication, inhaled corticosteroids, presents a serious challenge in asthma management, particularly for steroid-resistant patients with little or no response to treatment.
Objective
We applied a systems biology approach to primary clinical and genomic data to identify and validate genes that modulate steroid response in asthmatic children.
Methods
We selected 104 inhaled corticosteroid–treated asthmatic non-Hispanic white children and determined a steroid responsiveness endophenotype (SRE) using observations of 6 clinical measures over 4 years. We modeled each subject's cellular steroid response using data from a previously published study of immortalized lymphoblastoid cell lines under dexamethasone (DEX) and sham treatment. We integrated SRE with immortalized lymphoblastoid cell line DEX responses and genotypes to build a genome-scale network using the Reverse Engineering, Forward Simulation modeling framework, identifying 7 genes modulating SRE.
Results
Three of these genes were functionally validated by using a stable nuclear factor κ-light-chain-enhancer of activated B cells luciferase reporter in A549 human lung epithelial cells, IL-1β cytokine stimulation, and DEX treatment. By using small interfering RNA transfection, knockdown of family with sequence similarity 129 member A (FAM129A) produced a reduction in steroid treatment response (P < .001).
Conclusion
With this systems-based approach, we have shown that FAM129A is associated with variation in clinical asthma steroid responsiveness and that FAM129A modulates steroid responsiveness in lung epithelial cells.
from Allergy and Immunology via a.sfakia on Inoreader https://ift.tt/2PEt6qJ
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