Fernandez-Barat, L. | bioRxiv Science

bioRxiv2025

Targeting Pseudomonas aeruginosa Ventilator-associated pneumonia with a non-antibiotic and biolfilm-disrupting Live Biotherapeutic: Preclinical Safety and Efficacy study

Background.Ventilator-associated pneumonia (VAP) is the second most common hospital-acquired infection and is associated with high morbidity and mortality. The insertion of the endotracheal tube (ETT) compromises the hosts bronchial defenses and facilitates the formation of microbial biofilms and VAP. Although antibiotics remain the cornerstone treatment, their efficacy is often compromised by poor biofilm penetration and the prevalence of multidrug-resistant bacteria. This reveals the need to develop novel non-antibiotic therapeutic strategies. We engineered a non-pathogenic strain of the pulmonary bacteria Mycoplasma pneumoniae CV2 to express anti-biofilm and bactericidal enzymes (VAP platform). The therapeutic effect was validated in a murine model of Pseudomonas aeruginosa infection and ex vivo in ETTs of patients with P. aeruginosa-induced VAP. Methods.We evaluated the safety of an improved version of CV2 (CV8, Mycochassis) in a miniature pig model, and its efficacy with the VAP therapeutic platform (CV8_VAP) in a piglet model of P. aeruginosa-induced VAP. CV8_VAP was administered via intralobe instillation or nebulization. We assessed the platforms ability to degrade biofilms formed on ETTs in vivo and its impact on the airway microbiota. We evaluated bacterial load in the lungs, inflammatory responses, histopathological and the clinical outcomes to provide a comprehensive characterization of therapeutic efficacy and safety. Findings.VAP platform reduced biofilm thickness and P. aeruginosa load in ETTs and lungs, with the nebulized route showing enhanced efficacy. CV8_VAP contributed on microbiome diversity restoration. Inflammatory markers in the lung were markedly decreased, suggesting a local immunomodulatory effect. Interpretation.These findings support that CV8_VAP as a promising, non-antibiotic therapeutic strategy for treating VAP caused by P. aeruginosa. Funding.The project that gave rise to these results has received funding from "La Caixa" Foundation (HR18-00058), and the European Research Council under the European Unions Horizon 2020 research and innovation program (670216).

synthetic biology↗

bioRxiv2022

Brewpitopes: a pipeline to refine B-cell epitope predictions during public health emergencies

The application of B-cell epitope identification for the development of therapeutic antibodies is well established but consuming in terms of time and resources. For this reason, in the last few years, the immunoinformatic community has developed several computational predictive tools. While relatively successful, most of these tools only use a few properties of the candidate region to determine their likelihood of being a true B-cell epitope. However, this likelihood is influenced by a wide variety of protein features, including the presence of glycosylated residues in the neighbourhood of the candidate epitope, the subcellular location of the protein region or the three-dimensional information about their surface accessibility in the parental protein. In this study we created Brewpitopes, an integrative pipeline to curate computational predictions of B-cell epitopes by accounting for all the aforementioned features. To this end, we implemented a set of rational filters to mimic the conditions for the in vivo antibody recognition to enrich the B-cell epitope predictions in actionable candidates. To validate Brewpitopes, we analyzed the SARS-CoV-2 proteome. In the S protein, Brewpitopes enriched the initial predictions in 5-fold on epitopes with neutralizing potential (p-value < 2e-4). Other than S protein, 4 out of 16 proteins in the proteome contain curated B-cell epitopes and hence, have also potential interest for viral neutralization, since mutational escape mainly affects the S protein. Our results demonstrate that Brewpitopes is a powerful pipeline for the rapid prediction of refined B-cell epitopes during public health emergencies. Statement of significanceWe have created Brewpitopes, a new pipeline that integrates additional important features such as glycosylation or structural accessibility, to curate B-cell epitope more likely to be functional in vivo. We have also validated Brewpitopes against SARS-CoV-2 not only for S protein but also for the entire viral proteome demonstrating that is a rapid and reliable epitope predictive tool to be implemented in present or future public health emergencies. Brewpitopes has identified 7 SARS-CoV-2 epitopes in S and epitopes allocated in 4 other proteins. Overall, offering an accurate selection of epitopes that might be scaled up to the production of new antibodies.

bioinformatics↗