Common pathway signature in lung and liver fibrosis

摘要: Fibrosis, a progressive accumulation of extracellular matrix components, encompasses wide spectrum distinct organs, and accounts for an increasing burden morbidity mortality worldwide. Despite the tremendous clinical impact, mechanisms governing fibrotic process are not yet understood, to date, no clinically reliable therapies fibrosis have been discovered. Here we applied Regeneration Intelligence, new bioinformatics software suite qualitative analysis intracellular signaling pathway activation using transcriptomic data, assess network molecular in lung liver fibrosis. In both tissues, our detected major conserved pathways strongly associated with fibrosis, suggesting that some identified by algorithm but wet-lab validated as fibrogenesis related, may be attractive targets future research. While majority significantly disrupted were specific histologically several concurrently activated or downregulated among hepatic pulmonary samples, providing evidence evolutionary relevant possible therapeutic targets. confirmatory studies warranted validate these observations, platform proposes promising approach detecting fibrosis-promoting tailoring right therapy prevent fibrogenesis.