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MalChemAtlas

Financiado

The malaria chemical atlas: Revealing the parasite-host functional interactome

Malaria is the most life-threatening parasitic disease in humans. Invasion of the malaria parasite, Plasmodium falciparum (Pf), into the blood circulation rewires the harmonious networking between the resident cells. Until recen... ver más

30/09/2028

WEIZMANN

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

WEIZMANN INSTITUTE OF SCIENCE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-04-11

ERC-2022-COG: ERC CONSOLIDATOR GRANTS Scope:Objectives

I+D

Cerrada hace 2 años

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1 Participantes

WEIZMANN

2.00M€ | Lider

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Duración del proyecto: 65 meses Fecha Inicio: 2023-04-11
Fecha Fin: 2028-09-30

Líder del proyecto

WEIZMANN INSTITUTE OF SCIENCE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Descripción del proyecto Malaria is the most life-threatening parasitic disease in humans. Invasion of the malaria parasite, Plasmodium falciparum (Pf), into the blood circulation rewires the harmonious networking between the resident cells. Until recently, Pf was not thought to be able to communicate when nested within infected human red blood cells (RBCs). However, we and others have laid the foundations of Pf communication via extracellular vesicles. We now hypothesize that in order to survive in the hostile host environment, Pf secretes chemical inducers (e.g., metabolites, peptides) to actively coordinate life decisions as a group and to control the surrounding host cells. Remarkably, we obtained proof-of-principle preliminary results in the form of an isolated, active chemical fraction that inhibits Pf population growth in a density-dependent manner. Our overarching goal in MalChemAtlas is to expose this yet-to-be-revealed mode of communication in malaria: cell-to-cell chemical signaling. We will combine analytic chemical, biophysical and omics technologies with machine-learning approaches to comprehensively reveal and characterize the functional chemicals that: I) facilitate parasite density, growth and sexual development (parasite-parasite signaling), II) dictate parasite crosstalk with circulating host immune cells and naïve RBCs (parasite-host communication), and III) affect downstream signaling cascades between the host’s innate and adaptive immunity (host-host communication). In this effort, we will leverage our extensive (HPLC-based) analytical fractionation pipeline, combined with NMR and metabolomics analyses, for identifying malaria-secreted autoinducers. Our preliminary findings demonstrate the potential of our basic research to be applied to the translational level of intervention. Identifying natural chemical killers offers a previously unexplored direct strategy to fight malaria - the highest gain we can ask for when researching this deadly disease.

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