Characterization of Glucokinases from Pathogenic Free-Living Amoebae.
Jillian E MilanesJimmy SuryadiNeil P MonaghanElijah M HardingCorbin S MorrisSoren D RozemaMuhammad M KhalifaJennifer E GoldenIsabelle Q PhanRachael ZigweidJan AbendrothChristopher A RiceHayden T McCordStevin WilsonMichael K FenwickJames C MorrisPublished in: Antimicrobial agents and chemotherapy (2022)
Infection with pathogenic free-living amoebae, including Naegleria fowleri, Acanthamoeba spp., and Balamuthia mandrillaris, can lead to life-threatening illnesses, primarily because of catastrophic central nervous system involvement. Efficacious treatment options for these infections are lacking, and the mortality rate due to infection is high. Previously, we evaluated the N. fowleri glucokinase ( Nf Glck) as a potential target for therapeutic intervention, as glucose metabolism is critical for in vitro viability. Here, we extended these studies to the glucokinases from two other pathogenic free-living amoebae, including Acanthamoeba castellanii ( Ac Glck) and B. mandrillaris ( Bm Glck). While these enzymes are similar (49.3% identical at the amino acid level), they have distinct kinetic properties that distinguish them from each other. For ATP, Ac Glck and Bm Glck have apparent K m values of 472.5 and 41.0 μM, while Homo sapiens Glck ( Hs Glck) has a value of 310 μM. Both parasite enzymes also have a higher apparent affinity for glucose than the human counterpart, with apparent K m values of 45.9 μM ( Ac Glck) and 124 μM ( Bm Glck) compared to ~8 mM for Hs Glck. Additionally, Ac Glck and Bm Glck differ from each other and other Glcks in their sensitivity to small molecule inhibitors, suggesting that inhibitors with pan-amoebic activity could be challenging to generate.
Keyphrases
- small molecule
- diffusion weighted imaging
- amino acid
- endothelial cells
- signaling pathway
- type diabetes
- lps induced
- cardiovascular events
- risk factors
- magnetic resonance imaging
- blood pressure
- cerebrospinal fluid
- coronary artery disease
- climate change
- computed tomography
- insulin resistance
- protein protein
- risk assessment
- life cycle