Plasma-derived extracellular vesicles from Plasmodium vivax patients signal spleen fibroblasts via NF-kB facilitating parasite cytoadherence.
Haruka TodaMíriam Díaz-VarelaJoan Segui-BarberWanlapa RoobsoongBarbara BaroSusana Garcia-SilvaAlicia GalianoMelisa Gualdron-LopezAnne C G AlmeidaMarcelo A M BritoGisely Cardoso de MeloIris Aparici-HerraizCarlos Castro-CavadíaWuelton Marcelo MonteiroEva BorràsEduard SabidóIgor C AlmeidaJakub ChojnackiJavier Martinez-PicadoMaria CalvoPilar ArmengolJaime Carmona-FonsecaMaria Fernanda YasnotRicardo LauzuricaAntonio MarcillaHector PeinadoMary R GalinskiMarcus V G LacerdaJetsumon SattabongkotCarmen Fernández-BecerraHernando A Del PortilloPublished in: Nature communications (2020)
Plasmodium vivax is the most widely distributed human malaria parasite. Previous studies have shown that circulating microparticles during P. vivax acute attacks are indirectly associated with severity. Extracellular vesicles (EVs) are therefore major components of circulating plasma holding insights into pathological processes. Here, we demonstrate that plasma-derived EVs from Plasmodium vivax patients (PvEVs) are preferentially uptaken by human spleen fibroblasts (hSFs) as compared to the uptake of EVs from healthy individuals. Moreover, this uptake induces specific upregulation of ICAM-1 associated with the translocation of NF-kB to the nucleus. After this uptake, P. vivax-infected reticulocytes obtained from patients show specific adhesion properties to hSFs, reversed by inhibiting NF-kB translocation to the nucleus. Together, these data provide physiological EV-based insights into the mechanisms of human malaria pathology and support the existence of P. vivax-adherent parasite subpopulations in the microvasculature of the human spleen.
Keyphrases
- end stage renal disease
- plasmodium falciparum
- endothelial cells
- ejection fraction
- signaling pathway
- newly diagnosed
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- oxidative stress
- cell proliferation
- induced pluripotent stem cells
- intensive care unit
- liver failure
- machine learning
- staphylococcus aureus
- immune response
- poor prognosis
- long non coding rna
- acute respiratory distress syndrome
- inflammatory response
- big data
- respiratory failure