Metabolomics

Dataset Information

0

Mapping immune variation and var gene switching in naive hosts infected with Plasmodium falciparum


ABSTRACT: Falciparum malaria is clinically heterogeneous and the relative contribution of parasite and host in shaping disease severity remains unclear. We explored the interaction between inflammation and parasite variant surface antigen (VSA) expression, asking whether this relationship underpins the variation observed in controlled human malaria infection (CHMI). We uncovered marked heterogeneity in the host response to blood challenge; some volunteers remained quiescent, others triggered interferon-stimulated inflammation and some showed transcriptional evidence of myeloid cell suppression. Significantly, only inflammatory volunteers experienced hallmark symptoms of malaria. When we tracked temporal changes in parasite VSA expression to ask whether variants associated with severe disease rapidly expand in naive hosts, we found no transcriptional evidence to support this hypothesis. These data indicate that parasite variants that dominate severe malaria do not have an intrinsic growth or survival advantage; instead, they presumably rely upon infection-induced changes in their within-host environment for selection.

INSTRUMENT(S): Liquid Chromatography MS - Alternating (LC-MS (Alternating))

SUBMITTER: Clement Regnault 

PROVIDER: MTBLS1188 | MetaboLights | 2020-12-02

REPOSITORIES: MetaboLights

Dataset's files

Source:
altmetric image

Publications


Falciparum malaria is clinically heterogeneous and the relative contribution of parasite and host in shaping disease severity remains unclear. We explored the interaction between inflammation and parasite variant surface antigen (VSA) expression, asking whether this relationship underpins the variation observed in controlled human malaria infection (CHMI). We uncovered marked heterogeneity in the host response to blood challenge; some volunteers remained quiescent, others triggered interferon-st  ...[more]

Similar Datasets

2023-11-01 | E-MTAB-12730 | biostudies-arrayexpress
2020-04-30 | GSE145634 | GEO
2024-09-01 | GSE275671 | GEO
2017-02-01 | GSE93631 | GEO
2021-08-09 | ST001900 | MetabolomicsWorkbench
2021-08-09 | ST001899 | MetabolomicsWorkbench
2024-12-02 | GSE270553 | GEO
2018-02-08 | E-MTAB-5860 | biostudies-arrayexpress
2024-02-14 | GSE240643 | GEO
2024-06-03 | GSE268112 | GEO