Combined chemical genetics and data-driven bioinformatics approach identifies receptor tyrosine kinase inhibitors as host-directed antimicrobials.
Cornelis J KorbeeMatthias T HeemskerkDragi KocevElisabeth van StrijenOmid RabieeKees L M C FrankenLouis WilsonNigel D L SavageSašo DžeroskiMariëlle C HaksTom H M OttenhoffPublished in: Nature communications (2018)
Antibiotic resistance poses rapidly increasing global problems in combatting multidrug-resistant (MDR) infectious diseases like MDR tuberculosis, prompting for novel approaches including host-directed therapies (HDT). Intracellular pathogens like Salmonellae and Mycobacterium tuberculosis (Mtb) exploit host pathways to survive. Only very few HDT compounds targeting host pathways are currently known. In a library of pharmacologically active compounds (LOPAC)-based drug-repurposing screen, we identify multiple compounds, which target receptor tyrosine kinases (RTKs) and inhibit intracellular Mtb and Salmonellae more potently than currently known HDT compounds. By developing a data-driven in silico model based on confirmed targets from public databases, we successfully predict additional efficacious HDT compounds. These compounds target host RTK signaling and inhibit intracellular (MDR) Mtb. A complementary human kinome siRNA screen independently confirms the role of RTK signaling and kinases (BLK, ABL1, and NTRK1) in host control of Mtb. These approaches validate RTK signaling as a drugable host pathway for HDT against intracellular bacteria.
Keyphrases
- mycobacterium tuberculosis
- multidrug resistant
- pulmonary tuberculosis
- infectious diseases
- gram negative
- reactive oxygen species
- drug resistant
- emergency department
- machine learning
- cancer therapy
- high throughput
- endothelial cells
- gene expression
- acinetobacter baumannii
- genome wide
- drug delivery
- pseudomonas aeruginosa
- adverse drug