Divergent Metabolism Between Trypanosoma Congolense And Trypanosoma Brucei Results In Differential Sensitivity To Metabolic Inhibition

PLOS PATHOGENS(2021)

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摘要
Author summary Animal African Trypanosomiasis (AAT), also known as Nagana, is a devastating disease affecting livestock across sub-Saharan Africa. AAT is primarily caused by the parasite Trypanosoma congolense, yet our biological knowledge about this pathogen is poor, especially compared to the related species T. brucei, subspecies of which cause the human disease Sleeping Sickness. Understanding the core metabolism of T. congolense is crucial in order to gain insights into the infection biology of this important pathogen, as well as providing the potential to identify new drug targets. In this work, we addressed the lack of knowledge concerning T. congolense by carrying out a comprehensive analysis of core metabolism, and comparing the data to T. brucei. We then used the findings of metabolic differences to predict differential sensitivity to inhibitors of metabolic function. We show that unlike T. brucei, where glucose metabolism leads to high levels of pyruvate excretion, T. congolense metabolises glucose to other end-products, namely succinate, malate and acetate. Moreover, there are pronounced differences in the way T. congolense uses glucose to feed into other areas of metabolism. Further analysis also suggests that T. congolense mostly scavenges lipids and fatty acids, rather than synthesising them de novo. To validate these findings, we confirm that T. congolense is differentially susceptible to metabolic inhibitors compared to T. brucei, and that, in particular, T. congolense is significantly less sensitive to inhibitors of fatty acid synthesis. Our study provides a foundation of functional metabolic knowledge on T. congolense, with insights into how this parasite fundamentally differs from T. brucei.Animal African Trypanosomiasis (AAT) is a debilitating livestock disease prevalent across sub-Saharan Africa, a main cause of which is the protozoan parasite Trypanosoma congolense. In comparison to the well-studied T. brucei, there is a major paucity of knowledge regarding the biology of T. congolense. Here, we use a combination of omics technologies and novel genetic tools to characterise core metabolism in T. congolense mammalian-infective bloodstream-form parasites, and test whether metabolic differences compared to T. brucei impact upon sensitivity to metabolic inhibition. Like the bloodstream stage of T. brucei, glycolysis plays a major part in T. congolense energy metabolism. However, the rate of glucose uptake is significantly lower in bloodstream stage T. congolense, with cells remaining viable when cultured in concentrations as low as 2 mM. Instead of pyruvate, the primary glycolytic endpoints are succinate, malate and acetate. Transcriptomics analysis showed higher levels of transcripts associated with the mitochondrial pyruvate dehydrogenase complex, acetate generation, and the glycosomal succinate shunt in T. congolense, compared to T. brucei. Stable-isotope labelling of glucose enabled the comparison of carbon usage between T. brucei and T. congolense, highlighting differences in nucleotide and saturated fatty acid metabolism. To validate the metabolic similarities and differences, both species were treated with metabolic inhibitors, confirming that electron transport chain activity is not essential in T. congolense. However, the parasite exhibits increased sensitivity to inhibition of mitochondrial pyruvate import, compared to T. brucei. Strikingly, T. congolense exhibited significant resistance to inhibitors of fatty acid synthesis, including a 780-fold higher EC50 for the lipase and fatty acid synthase inhibitor Orlistat, compared to T. brucei. These data highlight that bloodstream form T. congolense diverges from T. brucei in key areas of metabolism, with several features that are intermediate between bloodstream- and insect-stage T. brucei. These results have implications for drug development, mechanisms of drug resistance and host-pathogen interactions.
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