Adriamycin inhibits glycolysis through downregulation of key enzymes in Saccharomyces cerevisiae.
Uma Priya MohanSelvaraj KunjiappanP B Tirupathi PichiahSankarganesh ArunachalamPublished in: 3 Biotech (2021)
Adriamycin is a widely used drug for the treatment of various types of cancers, but its clinical application is limited because of irreversible dilated cardiomyopathy. The incidence of cardiomyopathy is a consequence of disrupted energy production, which could be related to the defects in glycogen, lipid and mucopolysaccharide metabolism. We explored the effect of Adriamycin on enzymes involved in glycolysis and apoptotic genes through molecular docking. We used Saccharomyces cerevisiae as model organism and studied the effect of Adriamycin on selected enzymes involved in glycolysis. The docking studies revealed that Adriamycin interacts with phosphofructokinase and enolase in an efficient manner. In phosphofructokinase, Adriamycin binds at the active site and with enolase the drug interacts at the cofactor-binding site (Mg2+) which might impair the activity of the enzyme. Gene expression studies revealed that Adriamycin causes the dysregulation of glycolysis through dysregulation of hexokinase, phosphoglycerate mutase, enolase and downregulation of pyruvate kinase. The drug shows a biphasic effect on the expression of genes enolase and pyruvate kinase. The impairment in glycolysis might reduce the ATP synthesis, and the cells might be deprived of energy. The condition is further worsened by elevated ROS levels triggering the cell to undergo apoptosis evidenced by downregulation of SOD and upregulation of BAX and caspase. In conclusion, our study reveals that Adriamycin impairs glycolysis and cause cell to undergo apoptosis due to oxidative stress in yeast cells.
Keyphrases
- saccharomyces cerevisiae
- induced apoptosis
- cell cycle arrest
- cell death
- oxidative stress
- endoplasmic reticulum stress
- molecular docking
- signaling pathway
- single cell
- gene expression
- cell proliferation
- poor prognosis
- molecular dynamics simulations
- dna damage
- binding protein
- heart failure
- genome wide
- dna methylation
- risk factors
- tyrosine kinase
- stem cells
- adverse drug
- young adults
- smoking cessation
- genome wide identification
- electronic health record
- transcription factor
- resting state
- functional connectivity