The Haemagglutinin Gene of Bovine-Origin H5N1 Influenza Viruses Currently Retains Receptor-binding and pH-fusion Characteristics of Avian Host Phenotype.

Clade 2.3.4.

Using cationic liposomes as carriers for long dsRNA to trigger an antiviral response in rainbow trout cell lines.

Long dsRNA induces the expression of type I interferons (IFNs) and IFN-stimulated genes (ISGs) to establish an antiviral state. When induced prophylactically, this antiviral state can reduce the severity and mortality of viral infections. One of the limiting factors in delivering dsRNA in animal models is the lack of an effective carrier that protects the dsRNA from degradation in the extracellular space.

A Global Collaborative Comparison of SARS-CoV-2 Antigenicity Across 15 Laboratories.

Setting up a global SARS-CoV-2 surveillance system requires an understanding of how virus isolation and propagation practices, use of animal or human sera, and different neutralisation assay platforms influence assessment of SARS-CoV-2 antigenicity. In this study, with the contribution of 15 independent laboratories across all WHO regions, we carried out a controlled analysis of neutralisation assay platforms using the first WHO International Standard for antibodies to SARS-CoV-2 variants of concern (source: NIBSC). Live virus isolates (source: WHO BioHub or individual labs) or spike plasmids (individual labs) for pseudovirus production were used to perform neutralisation assays using the same serum panels.

Guarding Drinking Water Safety against Harmful Algal Blooms: Could UV/Cl Treatment Be the Answer?

Frequent and severe occurrences of harmful algal blooms increasingly threaten human health by the release of microcystins (MCs). Urgent attention is directed toward managing MCs, as evidenced by rising HAB-related do not drink/do not boil advisories due to unsafe MC levels in drinking water. UV/chlorine treatment, in which UV light is applied simultaneously with chlorine, showed early promise for effectively degrading MC-LR to values below the World Health Organization's guideline limits.

Mathematical modelling and analysis for the co-infection of viral and bacterial diseases: a systematic review protocol.

Introduction: Breaking the chain of transmission of an infectious disease pathogen is a major public health priority. The challenges of understanding, describing and predicting the transmission dynamics of infections have led to a wide range of mathematical, statistical and biological research problems. Advances in diagnostic laboratory procedures with the ability to test multiple pathogens simultaneously mean that co-infections are increasingly being detected, yet little is known about the impact of co-infections in shaping the course of an infection, infectivity, and pathogen replication rate.