Connectivity Mapping (ssCMap) To Predict A20 Inducing Drugs: Anti-inflammatory Action In Cystic Fibrosis


Autoria(s): Malcomson, Beth; Wilson, Hollie; Thillaiyampalan, Gayathri; Barsden, Ruth; Donegan, Shauna; El Banna, Amal; Elborn, Joseph; Ennis, Madeleine; Kelly, Catriona; Zhang, Shu-Dong; Schock, Bettina
Data(s)

28/06/2016

Resumo

Cystic Fibrosis (CF) lung disease is characterised by a chronic and exaggerated inflammation in the airways. Despite recent developments to therapeutically overcome the underlying functional defect in CFTR (cystic fibrosis transmembrane conductance regulator), there is still an unmet need to also normalise the inflammatory response. The prolonged and heightened inflammatory response in CF is in part mediated by a lack of intrinsic downregulation of the pro-inflammatory NF-kB pathway. We have previously identified reduced expression of the NF-kB down-regulator A20 in CF as a key target to normalise the inflammatory response. Here we have used publically available gene array expression data together with sscMap (statistically significant connections’map)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 NFkB (p65) expression (mRNA) as well as pro-inflammatory 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 (PNECs) 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 TNFAIP3 (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.

Formato

application/pdf

Identificador

http://pure.qub.ac.uk/portal/en/publications/connectivity-mapping-sscmap-to-predict-a20-inducing-drugs-antiinammatory-action-in-cystic-fibrosis(25ee030c-c4d3-4d46-9ed1-1780af6fbf40).html

http://dx.doi.org/10.1073/pnas.1520289113

http://pure.qub.ac.uk/ws/files/46582798/Malcom_et_al_11_pages_Final_2.pdf

Idioma(s)

eng

Direitos

info:eu-repo/semantics/openAccess

Fonte

Malcomson , B , Wilson , H , Thillaiyampalan , G , Barsden , R , Donegan , S , El Banna , A , Elborn , J , Ennis , M , Kelly , C , Zhang , S-D & Schock , B 2016 , ' Connectivity Mapping (ssCMap) To Predict A20 Inducing Drugs: Anti-inflammatory Action In Cystic Fibrosis ' Proceedings of the National Academy of Sciences of the United States of America , vol 113 , no. 26 , pp. E3725–E3734 . DOI: 10.1073/pnas.1520289113

Palavras-Chave #A20 , NF-kB, Connectivity Mapping, Drug repositioning, CF airways inflammation
Tipo

article