Publications by authors named "Alain Casanova"

Objective: The study aim was to evaluate the cost effectiveness and budget impact of siponimod compared to interferon beta-1a for adult patients with secondary progressive multiple sclerosis (SPMS) with active disease, from a Swiss health insurance perspective.

Methods: We conducted an analysis using a Markov cohort model with a cycle length of 1 year, life-long time horizon, and discount rate of 3% for cost and health outcomes. We used a matching-adjusted indirect comparison to estimate clinical outcomes using data from the EXPAND randomised controlled trial of siponimod vs placebo and the Nordic SPMS randomised controlled trial of interferon beta-1a vs placebo as the basis for estimates of disability progression and relapse outcomes.

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, the agent causing brucellosis, is a major zoonotic pathogen with worldwide distribution. resides and replicates inside infected host cells in membrane-bound compartments called containing vacuoles (BCVs). Following uptake, resides in endosomal BCVs (eBCVs) that gradually mature from early to late endosomal features.

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Perturbation of gene expression by means of synthetic small interfering RNAs (siRNAs) is a powerful way to uncover gene function. However, siRNA technology suffers from sequence-specific off-target effects and from limitations in knock-down efficiency. In this study, we assess a further problem: unintended effects of siRNA transfections on cellular fitness/proliferation.

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Brucella species are facultative intracellular pathogens that infect animals as their natural hosts. Transmission to humans is most commonly caused by direct contact with infected animals or by ingestion of contaminated food and can lead to severe chronic infections. Brucella can invade professional and non-professional phagocytic cells and replicates within endoplasmic reticulum (ER)-derived vacuoles.

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Small interfering RNAs (siRNAs) exhibit strong off-target effects, which confound the gene-level interpretation of RNA interference screens and thus limit their utility for functional genomics studies. Here, we present gespeR, a statistical model for reconstructing individual, gene-specific phenotypes. Using 115,878 siRNAs, single and pooled, from three companies in three pathogen infection screens, we demonstrate that deconvolution of image-based phenotypes substantially improves the reproducibility between independent siRNA sets targeting the same genes.

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Background: Large-scale RNAi screening has become an important technology for identifying genes involved in biological processes of interest. However, the quality of large-scale RNAi screening is often deteriorated by off-targets effects. In order to find statistically significant effector genes for pathogen entry, we systematically analyzed entry pathways in human host cells for eight pathogens using image-based kinome-wide siRNA screens with siRNAs from three vendors.

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Systematic genetic perturbation screening in human cells remains technically challenging. Typically, large libraries of chemically synthesized siRNA oligonucleotides are used, each designed to degrade a specific cellular mRNA via the RNA interference (RNAi) mechanism. Here, we report on data from three genome-wide siRNA screens, conducted to uncover host factors required for infection of human cells by two bacterial and one viral pathogen.

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Biofilms are communities of surface-attached, matrix-embedded microbial cells that can resist antimicrobial chemotherapy and contribute to persistent infections. Using an Escherichia coli biofilm model we found that exposure of bacteria to subinhibitory concentrations of ribosome-targeting antibiotics leads to strong biofilm induction. We present evidence that this effect is elicited by the ribosome in response to translational stress.

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