Literature DB >> 31799743

Kynurenine elevation correlates with T regulatory cells increase in acute Plasmodium vivax infection: A pilot study.

Rafaella Oliveira Dos Santos1, Raquel M Gonçalves-Lopes2, Nathália F Lima2, Kézia K G Scopel3, Marcelo U Ferreira2, Pritesh Lalwani1.   

Abstract

BACKGROUND: Disease-tolerance mechanisms limit infection severity by preventing tissue damage; however, the underlying mechanisms in human malaria are still unclear. Tryptophan (TRP), an essential amino acid, is catabolized into tolerogenic metabolites, kynurenines (KYN), by indoleamine 2,3-dioxygenase 1 (IDO1), which can induce Foxp3+ T regulatory cells (Tregs). In this study, we evaluated the relationship of these metabolites with Treg-mediated tolerance induction in acute malaria infections.
METHODS: We performed a cross-sectional study that evaluated asymptomatic, symptomatic malaria patients and endemic control patient groups. We assessed plasmatic concentration of cytokines by ELISA. Plasmatic TRP and KYN levels were measured by HPLC. Peripheral T regulatory cells were measured and phenotyped by flow cytometry.
RESULTS: The KYN/TRP ratio was significantly elevated in asymptomatic and symptomatic Plasmodium infection, compared to healthy controls. Also, Th1 and Th2 cytokines were elevated in the acute phase of malaria disease. IFN-γ increase in acute phase was positively correlated with the KYN/TRP ratio and KYN elevation was positively correlated with the increase of peripheral FoxP3+ T regulatory cells.
CONCLUSIONS: Additional studies are needed not only to identify innate mechanisms that increase tryptophan catabolism but also the role of Tregs in controlling malaria-induced pathology and malaria tolerance by the host.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990Plasmodiumzzm321990; T regulatory cells and immunosuppression; inflammation; kynurenine; tryptophan

Year:  2020        PMID: 31799743     DOI: 10.1111/pim.12689

Source DB:  PubMed          Journal:  Parasite Immunol        ISSN: 0141-9838            Impact factor:   2.280


  2 in total

Review 1.  Optimization of metabolomic data processing using NOREVA.

Authors:  Jianbo Fu; Ying Zhang; Yunxia Wang; Hongning Zhang; Jin Liu; Jing Tang; Qingxia Yang; Huaicheng Sun; Wenqi Qiu; Yinghui Ma; Zhaorong Li; Mingyue Zheng; Feng Zhu
Journal:  Nat Protoc       Date:  2021-12-24       Impact factor: 13.491

2.  NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data.

Authors:  Qingxia Yang; Yunxia Wang; Ying Zhang; Fengcheng Li; Weiqi Xia; Ying Zhou; Yunqing Qiu; Honglin Li; Feng Zhu
Journal:  Nucleic Acids Res       Date:  2020-07-02       Impact factor: 16.971

  2 in total

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