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Common pathway signature in lung and liver fibrosis

机译:肺和肝纤维化的常见途径标志

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Fibrosis, a progressive accumulation of extracellular matrix components, encompasses a wide spectrum of distinct organs, and accounts for an increasing burden of morbidity and mortality worldwide. Despite the tremendous clinical impact, the mechanisms governing the fibrotic process are not yet understood, and to date, no clinically reliable therapies for fibrosis have been discovered. Here we applied Regeneration Intelligence, a new bioinformatics software suite for qualitative analysis of intracellular signaling pathway activation using transcriptomic data, to assess a network of molecular signaling in lung and liver fibrosis. In both tissues, our analysis detected major conserved signaling pathways strongly associated with fibrosis, suggesting that some of the pathways identified by our algorithm but not yet wet-lab validated as fibrogenesis related, may be attractive targets for future research. While the majority of significantly disrupted pathways were specific to histologically distinct organs, several pathways have been concurrently activated or downregulated among the hepatic and pulmonary fibrosis samples, providing new evidence of evolutionary conserved pathways that may be relevant as possible therapeutic targets. While future confirmatory studies are warranted to validate these observations, our platform proposes a promising new approach for detecting fibrosis-promoting pathways and tailoring the right therapy to prevent fibrogenesis.
机译:纤维化是细胞外基质成分的逐步积累,涵盖了广泛的不同器官,并在全球范围内增加了发病率和死亡率负担。尽管有巨大的临床影响,但尚不清楚控制纤维化过程的机制,并且迄今为止,尚未发现用于纤维化的临床上可靠的疗法。在这里,我们应用了再生智能,这是一个新的生物信息学软件套件,用于使用转录组数据定性分析细胞内信号通路激活,以评估肺和肝纤维化中分子信号网络。在这两个组织中,我们的分析均检测到了与纤维化密切相关的主要保守信号通路,这表明通过我们的算法确定但尚未通过湿实验室验证与纤维发生相关的某些通路可能是未来研究的诱人目标。虽然大多数显着破坏的途径是特定于组织学上不同的器官的,但肝和肺纤维化样品中的几种途径已同时激活或下调,为进化保守的途径提供了新的证据,这些途径可能与治疗靶点有关。虽然将来有必要进行验证性研究来验证这些观察结果,但我们的平台提出了一种有前途的新方法,用于检测促进纤维化的途径和定制正确的治疗方法来预防纤维化。

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