Text Mining-Based Drug Discovery for Connective Tissue Disease-Associated Pulmonary Arterial Hypertension

Jiang-Shan Tan1, Song Hu1, Ting-Ting Guo1

  • 1Key Laboratory of Pulmonary Vascular Medicine, State Key Laboratory of Cardiovascular Disease, Center for Respiratory and Pulmonary Vascular Diseases, National Clinical Research Center of Cardiovascular Diseases, National Center for Cardiovascular Diseases, Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Insights

Researchers identified 13 potential drugs for connective tissue disease-associated pulmonary arterial hypertension (CTD-PAH). These drugs target six key genes, offering new therapeutic possibilities for patients with CTD-PAH.

Area of Science:

  • Biomedical Informatics
  • Pharmacology
  • Pulmonary Medicine

Background:

  • Current treatments for connective tissue disease-associated pulmonary arterial hypertension (CTD-PAH) have limited efficacy.
  • There is a critical need for novel therapeutic agents for CTD-PAH.

Purpose of the Study:

  • To identify potential novel drug candidates for CTD-PAH using a text mining and bioinformatics approach.
  • To explore existing drugs that could be repurposed for CTD-PAH treatment.

Main Methods:

  • Text mining was employed to identify genes associated with connective tissue disease (CTD) and pulmonary arterial hypertension (PAH).
  • Functional enrichment analysis and protein-protein interaction network analysis were performed on overlapping genes.
  • The Drug Gene Interaction database was utilized to identify potential therapeutic drugs targeting identified genes.

Main Results:

  • A total of 179 CTD- and PAH-related genes were identified, leading to 20 genes involved in six key pathways.
  • Thirteen candidate drugs targeting these six genes were selected, with 12 having FDA approval for other indications.
  • Identified drug targets include IL-6, IL-1β, MMP9, VEGFA, TGFB1, and EGFR.

Conclusions:

  • This study identified 13 drugs with potential therapeutic benefits for CTD-PAH.
  • These drugs target critical genes involved in the pathophysiology of CTD-PAH.
  • The findings suggest a promising avenue for developing new treatments for CTD-PAH.

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