4.6 Article

Identification of Common Genes and Pathways in Eight Fibrosis Diseases

Journal

FRONTIERS IN GENETICS
Volume 11, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fgene.2020.627396

Keywords

fibrotic diseases; genes; pathways; Monte Carlo feature selection; CTGF

Funding

  1. Strategic Priority Research Program of Chinese Academy of Sciences [XDB38050200]
  2. National Key RAMP
  3. D Program of China [2018YFC0910403, 2017YFC1201200]
  4. National Natural Science Foundation of China [81900280, 31701151]
  5. Shanghai Sailing Program [19YF1431600]
  6. Shanghai Municipal Science and Technology Major Project [2017SHZDZX01]
  7. Youth Innovation Promotion Association of Chinese Academy of Sciences (CAS) [2016245]

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This study analyzed common genes and pathways among different fibrotic diseases by collecting reported genes of eight fibrotic diseases and calculating KEGG and GO enrichment scores. Through comparison and analysis, key features and the common key molecule CTGF were identified to provide insights into the cellular and molecular mechanisms underlying fibrosis for potential drug development.
Acute and chronic inflammation often leads to fibrosis, which is also the common and final pathological outcome of chronic inflammatory diseases. To explore the common genes and pathogenic pathways among different fibrotic diseases, we collected all the reported genes of the eight fibrotic diseases: eye fibrosis, heart fibrosis, hepatic fibrosis, intestinal fibrosis, lung fibrosis, pancreas fibrosis, renal fibrosis, and skin fibrosis. We calculated the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment scores of all fibrotic disease genes. Each gene was encoded using KEGG and GO enrichment scores, which reflected how much a gene can affect this function. For each fibrotic disease, by comparing the KEGG and GO enrichment scores between reported disease genes and other genes using the Monte Carlo feature selection (MCFS) method, the key KEGG and GO features were identified. We compared the gene overlaps among eight fibrotic diseases and connective tissue growth factor (CTGF) was finally identified as the common key molecule. The key KEGG and GO features of the eight fibrotic diseases were all screened by MCFS method. Moreover, we interestingly found overlaps of pathways between renal fibrosis and skin fibrosis, such as GO:1901890-positive regulation of cell junction assembly, as well as common regulatory genes, such as CTGF, which is the key molecule regulating fibrogenesis. We hope to offer a new insight into the cellular and molecular mechanisms underlying fibrosis and therefore help leading to the development of new drugs, which specifically delay or even improve the symptoms of fibrosis.

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