Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Inhibition of MEK and PI3K alone or in combination alters the transcriptome of the lung during TGF?-induced pulmonary fibrosis


ABSTRACT: Pulmonary fibrosis is often triggered by an epithelial injury resulting in the formation of fibrotic lesions in the lung, which progress to impair gas exchange and ultimately cause death. Recent clinical trials using drugs that target either inflammation or a specific molecule have failed, suggesting that multiple pathways and cellular processes need to be attenuated for effective reversal of established and progressive fibrosis. Although activation of MAPK and PI3K pathways have been detected in human fibrotic lung samples, the therapeutic benefits of in vivo modulation of the MAPK and PI3K pathways in combination are unknown. Overexpression of TGF? in the lung epithelium of transgenic mice results in the formation of fibrotic lesions similar to those found in human pulmonary fibrosis, and previous work from our group shows that inhibitors of either the MAPK or PI3K pathway can alter the progression of fibrosis. In this study, we sought to determine whether simultaneous inhibition of the MAPK and PI3K signaling pathways is a more effective therapeutic strategy for established and progressive pulmonary fibrosis. Our results showed that inhibiting both pathways had additive effects compared to inhibiting either pathway alone in reducing fibrotic burden, including reducing lung weight, pleural thickness, and total collagen in the lungs of TGF? mice. This study demonstrates that inhibiting MEK and PI3K in combination abolishes proliferative gene changes associated with fibrosis and myfibroblast accumulation and thus may serve as a therapeutic option in the treatment of human fibrotic lung disease where these pathways play a role. mRNA profiles of CCSP/TGFalpha mice treated with vehicle, ARRY, PX-866, ARRY/PX-866

ORGANISM(S): Mus musculus

SUBMITTER: Jing Chen 

PROVIDER: E-GEOD-52854 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

Similar Datasets

2013-12-03 | GSE52854 | GEO
2015-03-07 | E-GEOD-66634 | biostudies-arrayexpress
2012-06-26 | E-GEOD-38934 | biostudies-arrayexpress
2015-03-07 | GSE66634 | GEO
2022-08-04 | GSE210165 | GEO
2011-11-22 | E-GEOD-28122 | biostudies-arrayexpress
2020-01-14 | MSV000084800 | MassIVE
2013-08-05 | E-GEOD-40839 | biostudies-arrayexpress
2018-12-04 | GSE123293 | GEO
| phs001750 | dbGaP