Richert, L. | bioRxiv Science

bioRxiv2022

The bacterial lectin LecA from P. aeruginosa alters membrane organization by dispersing ordered domains

The assembly and dynamic reorganization of plasma membrane nanodomains (also known as "lipid rafts") play key roles in host cell infection by human pathogens (e.g. viruses and bacteria). Viruses and bacteria can trigger the reorganization of lipid rafts which leads to membrane invaginations and downstream signaling that promote infection. Such reorganizations can be induced by interactions of bacterial or viral carbohydrate proteins (so-called lectins) with lipid raft glycosphingolipids (GSLs). Here, we studied the GSL globotriaosylceramide (Gb3) which is a key receptor involved in the cellular uptake of the gram-negative bacterium P. aeruginosa. The bacterial surface lectin LecA targets Gb3 and promotes bacterial invasion via the "lipid zipper" mechanism. However, the impact of LecA on the organization of membrane nanodomains is unknown yet. We mimicked of the plasma membrane using supported lipid bilayers (SLBs) that contained liquid-ordered (Lo, "raft-like", enriched in sphingolipids and GSLs) and liquid-disordered (Ld, "non-raft-like" enriched in DOPC) lipid domains. Upon interaction with LecA, the Lo domains in the SLBs reshaped and dispersed. Moreover, deformation of SLBs was observed as LecA formed membrane multilayers on SLBs surface. We further dissected this process to reveal the impact of Gb3 structure, bilayer composition and LecA valence on the Lo reorganization.

biophysics↗

bioRxiv2021

Transcriptomic mapping of the inter-individual variability of cellular stress response activation in primary human hepatocytes

Background & AimsOne of the early key events of drug-induced liver injury (DILI) is the activation of adaptive stress responses, a cellular mechanism to overcome stress. Given the diversity of DILI outcomes and lack in understanding of population variability, we mapped the inter-individual variability in stress response activation to improve DILI prediction. Approach & ResultsHigh-throughput transcriptome analysis of over 8,000 samples was performed in primary human hepatocytes of 50 individuals upon 8 to 24 h exposure to broad concentration ranges of stress inducers: tunicamycin to induce the unfolded protein response (UPR), diethyl maleate for the oxidative stress response, cisplatin for the DNA damage response and TNF for NF-{kappa}B signalling. This allowed investigation of the inter-individual variability in concentration-dependent stress response activation, where the average of benchmark concentrations (BMCs) had a maximum difference of 864, 13, 13 and 259-fold between different hepatocytes for UPR, oxidative stress, DNA damage and NF-{kappa}B signalling-related genes, respectively. Hepatocytes from patients with liver disease resulted in less stress response activation. Using a population mixed-effect framework, the distribution of BMCs and maximum fold change were modelled, allowing simulation of smaller or larger PHH panel sizes. Small panel sizes systematically under-estimated the variance and resulted in low probabilities in estimating the correct variance for the human population. Moreover, estimated toxicodynamic variability factors were up to 2-fold higher than the standard uncertainty factor of 101/2 to account for population variability during risk assessment, exemplifying the need of data-driven variability factors. ConclusionsOverall, by combining high-throughput transcriptome analysis and population modelling, improved understanding of variability in stress response activation across the human population could be established, thereby contributing towards improved prediction of DILI.

pharmacology and toxicology↗