Connectivity mapping (ssCMap) to predict A20-inducing drugs and their antiinflammatory action in cystic fibrosis
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Wilson, Hollie
Veglia, Eleonora
Thillaiyampalam, Gayathri
Barsden, Ruth
Donegan, Shauna
El Banna, Amal
Elborn, Joseph S
Ennis, Madeleine
Kelly, Catriona
Zhang, Shu-Dong
Schock, Bettina C
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Abstract
Cystic fibrosis (CF) lung disease is characterized by chronic and exaggerated inflammation in the airways. Despite recent developments to therapeutically overcome the underlying functional defect in the cystic fibrosis transmembrane conductance regulator, there is still an unmet need to also normalize the inflammatory response. The prolonged and heightened inflammatory response in CF is, in part, mediated by a lack of intrinsic down-regulation of the proinflammatory NF-κB pathway. We have previously identified reduced expression of the NF-κB down-regulator A20 in CF as a key target to normalize the inflammatory response. Here, we have used publicly available gene array expression data together with a statistically significant connections' map (sscMap) to successfully predict drugs already licensed for the use in humans to induce A20 mRNA and protein expression and thereby reduce inflammation. The effect of the predicted drugs on A20 and NF-κB(p65) expression (mRNA) as well as proinflammatory cytokine release (IL-8) in the presence and absence of bacterial LPS was shown in bronchial epithelial cells lines (16HBE14o-, CFBE41o-) and in primary nasal epithelial cells from patients with CF (Phe508del homozygous) and non-CF controls. Additionally, the specificity of the drug action on A20 was confirmed using cell lines with tnfαip3 (A20) knockdown (siRNA). We also show that the A20-inducing effect of ikarugamycin and quercetin is lower in CF-derived airway epithelial cells than in non-CF cells.
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Proceedings of the National Academy of Sciences of the United States of America
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113
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26
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© 2016. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal website for access to the definitive, published version.
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Subject
Respiratory diseases
Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
A20
NF-kappa B
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Malcomson, B; Wilson, H; Veglia, E; Thillaiyampalam, G; Barsden, R; Donegan, S; El Banna, A; Elborn, JS; Ennis, M; Kelly, C; Zhang, S-D; Schock, BC, Connectivity mapping (ssCMap) to predict A20-inducing drugs and their antiinflammatory action in cystic fibrosis, Proceedings of the National Academy of Sciences of the United States of America, 2016, 113 (26), pp. E3725-E3734