Evidence Hub

Broadly protective approaches for pandemic prevention

Zhang, Ali

MacSphere (McMaster University), 2024

Abstract

Pandemics are periodic events characterized by rapid and widespread transmission of infectious disease affecting a significant proportion of the population over a large geographical area. Zoonotic strains of influenza viruses and coronaviruses have both caused pandemics in the recent past. Although vaccination is the often the most effective way to prevent infection or serious outcomes of infection, vaccine development, production, distribution, and deployment are all time- consuming and logistically challenges processes. Alternative readily deployed approaches must be quickly executed to mitigate the toll of future pandemics, especially during the early phases. The work described in this thesis describes some of these approaches. Firstly, I describe the process by which I performed genome-wide CRISPR-Cas9 knockout screens using SARS-CoV-2 variants of concern to discover crucial host factors as targets for broad-acting antivirals. I found that all variants rely on similar host pathways to replicate in the glial cell line used for the screen. I identified BCL-xL, a regulator of apoptosis, as a potential target for a broad- acting antiviral. I show that chemical inhibition of BCL-xL results in accelerated cell death in infected cells in vitro, but improved clinical signs and disease mortality of SARS-CoV-2 in our murine infection model. Secondly, I describe a unique mechanism for cooperative antiviral combination therapy. I demonstrate that chemical inhibition of neuraminidase…

How strong is the evidence?

Evidence Hub reads this as a thesis, done in animal and cell cultures (in vitro), not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free