Network analysis identifies a putative role for the PPAR and type 1 interferon pathways in glucocorticoid actions in asthmatics

被引:19
作者
Diez, Diego [2 ,7 ]
Goto, Susumu [2 ]
Fahy, John V. [3 ,5 ]
Erle, David J. [3 ,4 ,5 ]
Woodruff, Prescott G. [3 ,5 ]
Wheelock, Asa M. [1 ]
Wheelock, Craig E. [2 ,6 ]
机构
[1] Karolinska Inst, Resp Med Unit, Dept Med, Stockholm, Sweden
[2] Kyoto Univ, Inst Chem Res, Bioinformat Ctr, Kyoto 6110011, Japan
[3] Univ Calif San Francisco, Dept Med, Div Pulm & Crit Care Med, San Francisco, CA USA
[4] Univ Calif San Francisco, Lung Biol Ctr, San Francisco, CA 94143 USA
[5] Univ Calif San Francisco, Cardiovasc Res Inst, San Francisco, CA 94143 USA
[6] Karolinska Inst, Dept Med Biochem & Biophys, Div Physiol Chem 2, Stockholm, Sweden
[7] Osaka Univ, World Premier Int Immunol Frontier Res Ctr, Lab Bioinformat & Genom, Suita, Osaka 5650871, Japan
关键词
Asthma; Inflammation; Glucocorticoids; Fluticasone propionate; Flovent; Network analysis; PPAR pathway; Toll-like receptor pathway; Interferon pathway; EPITHELIAL-CELLS; GENECHIP DATA; UP-REGULATION; DRUG-THERAPY; IFN-ALPHA; GAMMA; INFLAMMATION; EXPRESSION; INNATE; COACTIVATORS;
D O I
10.1186/1755-8794-5-27
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: Asthma is a chronic inflammatory airway disease influenced by genetic and environmental factors that affects similar to 300 million people worldwide, leading to similar to 250,000 deaths annually. Glucocorticoids (GCs) are well-known therapeutics that are used extensively to suppress airway inflammation in asthmatics. The airway epithelium plays an important role in the initiation and modulation of the inflammatory response. While the role of GCs in disease management is well understood, few studies have examined the holistic effects on the airway epithelium. Methods: Gene expression data were used to generate a co-transcriptional network, which was interrogated to identify modules of functionally related genes. In parallel, expression data were mapped to the human protein-protein interaction (PPI) network in order to identify modules with differentially expressed genes. A common pathways approach was applied to highlight genes and pathways functionally relevant and significantly altered following GC treatment. Results: Co-transcriptional network analysis identified pathways involved in inflammatory processes in the epithelium of asthmatics, including the Toll-like receptor (TLR) and PPAR signaling pathways. Analysis of the PPI network identified RXRA, PPARGC1A, STAT1 and IRF9, among others genes, as differentially expressed. Common pathways analysis highlighted TLR and PPAR signaling pathways, providing a link between general inflammatory processes and the actions of GCs. Promoter analysis identified genes regulated by the glucocorticoid receptor (GCR) and PPAR pathways as well as highlighted the interferon pathway as a target of GCs. Conclusions: Network analyses identified known genes and pathways associated with inflammatory processes in the airway epithelium of asthmatics. This workflow illustrated a hypothesis generating experimental design that integrated multiple analysis methods to produce a weight-of-evidence based approach upon which future focused studies can be designed. In this case, results suggested a mechanism whereby GCs repress TLR-mediated interferon production via upregulation of the PPAR signaling pathway. These results highlight the role of interferons in asthma and their potential as targets of future therapeutic efforts.
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页数:13
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共 59 条
[1]   Improved scoring of functional groups from gene expression data by decorrelating GO graph structure [J].
Alexa, Adrian ;
Rahnenfuehrer, Joerg ;
Lengauer, Thomas .
BIOINFORMATICS, 2006, 22 (13) :1600-1607
[2]  
[Anonymous], 2010, GLOB STRAT ASTHM MAN, V2010
[3]   TLR-dependent and TLR-independent pathways of type I interferon induction in systemic autoimmunity [J].
Baccala, Roberto ;
Hoebe, Kasper ;
Kono, Dwight H. ;
Beutler, Bruce ;
Theofilopoulos, Argyrios N. .
NATURE MEDICINE, 2007, 13 (05) :543-551
[4]   An automated method for finding molecular complexes in large protein interaction networks [J].
Bader, GD ;
Hogue, CW .
BMC BIOINFORMATICS, 2003, 4 (1)
[5]   Network medicine: a network-based approach to human disease [J].
Barabasi, Albert-Laszlo ;
Gulbahce, Natali ;
Loscalzo, Joseph .
NATURE REVIEWS GENETICS, 2011, 12 (01) :56-68
[6]   Glucocorticoid resistance in inflammatory diseases [J].
Barnes, Peter J. ;
Adcock, Ion M. .
LANCET, 2009, 373 (9678) :1905-1917
[7]   DRUG-THERAPY - INHALED GLUCOCORTICOIDS FOR ASTHMA [J].
BARNES, PJ .
NEW ENGLAND JOURNAL OF MEDICINE, 1995, 332 (13) :868-875
[8]  
Barnes PJ, 2010, BRIT J PHARMACOL, V120, P76
[9]   BioNet: an R-Package for the functional analysis of biological networks [J].
Beisser, Daniela ;
Klau, Gunnar W. ;
Dandekar, Thomas ;
Muller, Tobias ;
Dittrich, Marcus T. .
BIOINFORMATICS, 2010, 26 (08) :1129-1130
[10]   CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING [J].
BENJAMINI, Y ;
HOCHBERG, Y .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) :289-300