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Drug Discovery in Canine Pyometra Disease Identified by Text Mining and Microarray Data Analysis.

Xin Wang1,2,3,4, Guohua Yu1,2,3

  • 1College of Life Science, Longyan University, Longyan, China.

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This study identifies 8 immune response genes linked to canine pyometra, revealing 23 existing drugs that could be repurposed for treating this complex uterine infection in dogs.

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Area of Science:

  • Veterinary Medicine
  • Genomics
  • Pharmacology

Background:

  • Canine pyometra is a complex uterine disease involving bacterial contamination and immune system activation.
  • Understanding the genetic and molecular underpinnings of canine pyometra is crucial for developing effective treatments.

Purpose of the Study:

  • To identify potential drug targets for canine pyometra using text mining and gene expression data.
  • To explore existing drug repurposing opportunities for pyometra-related conditions in dogs.

Main Methods:

  • Combined text mining of
  • canine pyometra
  • literature with microarray data analysis (GSE99877).
  • Analyzed gene-protein interaction networks using Gene Ontology and KEGG pathway analysis.
  • Performed gene-drug interaction analysis on key genes within significant network modules.

Main Results:

  • Identified 17,544 text mining genes (TMGs) and 399 differentially expressed genes (DEGs).
  • Found 256 overlapping genes between TMGs and DEGs, with 70 upregulated and 186 downregulated.
  • Discovered 8 immune response-related genes (BTK, CSF2RA, CSF2RB, ITGAL, NCF4, PLCG2, PTPRC, TOP2A) that target 23 existing drugs.

Conclusions:

  • The identified 8 genes and their associated 23 drugs offer potential new therapeutic strategies for canine pyometra.
  • This research expands drug indications for pyometra and related canine diseases by leveraging existing pharmaceuticals.