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Malaria parasites differentially sense environmental elasticity during transmission

2021-03-05T00:00

Transmission of malaria‐causing parasites to and by the mosquito relies on active parasite migration and constitutes bottlenecks in the Plasmodium life cycle. Parasite adaption to the biochemically and physically different environments must hence be a key evolutionary driver for transmission efficiency. To probe how subtle but physiologically relevant changes in environmental elasticity impact parasite migration, we introduce 2D and 3D polyacrylamide gels to study ookinetes, the parasite forms emigrating from the mosquito blood meal and sporozoites, the forms transmitted to the vertebrate host. We show that ookinetes adapt their migratory path but not their speed to environmental elasticity and are motile for over 24 h on soft substrates. In contrast, sporozoites evolved more short‐lived rapid gliding motility for rapidly crossing the skin. Strikingly, sporozoites are highly sensitive to substrate elasticity possibly to avoid adhesion to soft endothelial cells on their long way to the liver. Hence, the two migratory stages of Plasmodium evolved different strategies to overcome the physical challenges posed by the respective environments and barriers they encounter.

Motility is essential for malaria parasites to infect their hosts. Here, new assays show that Plasmodium adapted to the different elastic properties of the physical environments it encounters. Most strikingly, Plasmodium sporozoites avoid migration on vascular cells to reach the liver.

Immunodynamics of explanted human tumors for immuno‐oncology

2020-12-29T00:00

Decision making in immuno‐oncology is pivotal to adapt therapy to the tumor microenvironment (TME) of the patient among the numerous options of monoclonal antibodies or small molecules. Predicting the best combinatorial regimen remains an unmet medical need. Here, we report a multiplex functional and dynamic immuno‐assay based on the capacity of the TME to respond to ex vivo stimulation with twelve immunomodulators including immune checkpoint inhibitors (ICI) in 43 human primary tumors. This "in sitro" (in situ/in vitro) assay has the potential to predict unresponsiveness to anti‐PD‐1 mAbs, and to detect the most appropriate and personalized combinatorial regimen. Prospective clinical trials are awaited to validate this in sitro assay.

To predict cancer resistance to PD‐1 blockade and design suitable combinations of immunomodulators, a 60‐h functional in sitro assay was set up in 43 tumors that allowed calculation of the “Immune Reactivity Score (IRS)” based on 17 TCR‐dependent‐ cytokines/chemokines.

Human soluble ACE2 improves the effect of remdesivir in SARS‐CoV‐2 infection

2020-12-14T00:00

There is a critical need for safe and effective drugs for COVID‐19. Only remdesivir has received authorization for COVID‐19 and has been shown to improve outcomes but not decrease mortality. However, the dose of remdesivir is limited by hepatic and kidney toxicity. ACE2 is the critical cell surface receptor for SARS‐CoV‐2. Here, we investigated additive effect of combination therapy using remdesivir with recombinant soluble ACE2 (high/low dose) on Vero E6 and kidney organoids, targeting two different modalities of SARS‐CoV‐2 life cycle: cell entry via its receptor ACE2 and intracellular viral RNA replication. This combination treatment markedly improved their therapeutic windows against SARS‐CoV‐2 in both models. By using single amino‐acid resolution screening in haploid ES cells, we report a singular critical pathway required for remdesivir toxicity, namely, Adenylate Kinase 2. The data provided here demonstrate that combining two therapeutic modalities with different targets, common strategy in HIV treatment, exhibit strong additive effects at sub‐toxic concentrations. Our data lay the groundwork for the study of combinatorial regimens in future COVID‐19 clinical trials.

A human kidney organoid model was used to test antiviral drugs against SARS‐CoV‐2 infections, highlighting the efficiency of combining two different approaches to reduce SARS‐CoV‐2 viral load. Our findings open a promising way for clinical trials using safer and more efficient combination therapies in COVID‐19.