02296nas a2200241   4500008004100000022001400041245011200055210006900167260000800236300001100244490000800255520148600263653001801749653002401767653001201791653001501803653001501818100002501833700001901858700002801877700001701905856013201922       2022                        eng d  a0166-685100aProfiling of metabolic alterations in mice infected with malaria parasites via high-resolution metabolomics0 aProfiling of metabolic alterations in mice infected with malaria  cNOV  a1115250 v2523 a<p>
	Background: Malaria infection can result in distinct clinical outcomes from asymptomatic to severe. The association between patho-physiological changes and molecular changes in the host, and their correlation with severity of malaria progression is not fully understood. Methods: In this study, we addressed mass spectrometry-based temporal profiling of serum metabolite levels from mice infected with Plasmodium berhgei (strain ANKA). Results: We show global perturbations and identify changes in specific metabolites in correlation with disease progression. While metabolome-wide changes were apparent in late-stage malaria, a subset of metabolites exhibited highly correlated changes with disease progression. These metabolites changed early on following infection and either continued or maintained the change as mice developed severe disease. Some of these have the potential to be sentinel metabolites for severe malaria. Moreover, glycolytic metabolites, purine nucleotide precursors, tryptophan and its bioactive derivatives were many fold decreased in late-stage disease. Interestingly, uric acid, a metabolic waste reported to be elevated in severe human malaria, increased with disease progression, and subsequently appears to be detoxified into allantoin. This detoxification mechanism is absent in humans as they lack the enzyme uricase. Conclusions: We have identified candidate marker metabolites that may be of relevance in the context of human malaria.</p>
10aHost response10aInfectious diseases10amalaria10ametabolite10aPlasmodium1 aChhibber-Goel, Jyoti1 aShukla, Anurag1 aShanmugam, Dhanasekaran1 aSharma, Amit  uhttps://library.ncl.res.in/content/profiling-metabolic-alterations-mice-infected-malaria-parasites-high-resolution-metabolomics