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Mourier, G.

Publications and source records attributed to Mourier, G..

2 recordsLinked to original sources

A synthetic delivery vector for mucosal vaccination

The success of mRNA-based vaccines during the Covid-19 pandemic has highlighted the value of this new platform for vaccine development against infectious disease. However, the CD8+ T cell response remains modest with mRNA vaccines, and these do not induce mucosal immunity, which would be needed to prevent viral spread in the healthy population. To address this drawback, we developed a dendritic cell targeting mucosal vaccination vector, the homopentameric STxB. Here, we describe the highly efficient chemical synthesis of the protein, and its in vitro folding. This straightforward preparation led to a synthetic delivery tool whose biophysical and intracellular trafficking characteristics were largely indistinguishable from recombinant STxB. The chemical approach allowed for the generation of new variants with bioorthogonal handles. Selected variants were chemically coupled to several types of antigens derived from the mucosal viruses SARS-CoV-2 and type 16 human papillomavirus. Upon intranasal administration in mice, mucosal immunity, including resident memory CD8+ T cells and IgA antibodies was induced against these antigens. Our study thereby identifies a novel synthetic antigen delivery tool for mucosal vaccination with an unmatched potential to respond to an urgent medical need.

biochemistry↗

Mutations in the juxtamembrane segment of the cholesterol-binding site of APP alter its processing and promotes production of shorter, less toxic Aβ peptides.

BackgroundThe brains of patients with Alzheimers disease (AD) reveal increased cellular membrane levels of cholesterol. Correspondingly, we previously showed that elevating levels of membrane cholesterol in neuronal cultures recapitulates early AD phenotypes including excessive cleavage of amyloid {beta} (A{beta}) peptides from the amyloid precursor protein (APP). Here we aimed to evaluate how the presence of a cholesterol-binding site (CBS) in the transmembrane and juxtamembrane regions of APP regulates its processing. MethodsWe generated seven single and two double APP mutants at amino acid positions 22, 26, 28, 29, 33, 39 of the A{beta} sequence changing the charge and/or hydrophobicity of the targeted amino acids. HEK293T cells were transfected with APP constructs and secreted A{beta} peptides were measured using ELISA and mass spectrometry (MS). APP processing in normal and high cholesterol condition, and endocytosis were assessed in stably expressing APPwt and APPK28A HEK293T clones. Finally, we measured the binding of synthetic peptides derived from the A{beta} sequence to cholesterol-rich exosomes purified from control HEK293T cells. ResultsMost mutations triggered a reduction in the production of A{beta}40 and A{beta}42 peptides, whereas only juxtamembrane mutants resulted in the generation of shorter A{beta} peptides. We confirmed by mass spectrometry this specific change in the profile of secreted A{beta} peptides for the most characteristic APPK28A mutant. A transient increase of plasma membrane cholesterol enhanced the production of A{beta}40 by APPWT, an effect absent with APPK28A. The enzymatic activity of -, {beta}- and {gamma}-secretases remained unchanged in cells expressing APPK28A. Similarly, APPK28A subcellular localization in early endosomes did not differ to APPWT. Finally, WT but not CBS mutant A{beta} derived peptides bound to cholesterol-rich exosomes. ConclusionsTaken together, these data reveal a major role of the juxtamembrane region of APP in binding to cholesterol and accordingly in the regulation of APP processing. Binding of cholesterol to K28 could staple APP to the juxtamembrane region thereby permitting access to {gamma}-secretase cleavage at positions 40-42. The APPK28 mutant would lie deeper in the membrane, facilitating the production of shorter A{beta} peptides and unveiling this specific region as a novel target for reducing the production of toxic A{beta} species.

neuroscience↗