Comparison of Extraction Methods for the Detection of Avian Influenza Virus RNA in Cattle Milk DOI Creative Commons
Chantal J. Snoeck, Aurélie Sausy,

Manon Bourg

et al.

Viruses, Journal Year: 2024, Volume and Issue: 16(9), P. 1442 - 1442

Published: Sept. 10, 2024

Since early 2024, a multistate outbreak of highly pathogenic avian influenza H5N1 has been affecting dairy cattle in the USA. The viral RNA concentrations milk make it an ideal matrix for surveillance purposes. However, detection multi-component fluids such as can be complex, and optimization methods is thus required. Raw bulk tank mastitis samples were artificially contaminated with strain subjected to five extraction methods. HCoV-229E synthetic included exogenous internal process controls. Given high load usually observed individual raw samples, four out tested would enable normal texture, over time window at least 2 weeks post-onset clinical signs. Nevertheless, sample dilution 1:3 molecular transport medium prior provided best results inhibitory substances good recovery rate RNA, that reached 12.5 ± 1.2% 10.4 3.8% two independent experiments 11.2 3.6% 10.0 2.9% on cohorts samples. We have also shown compatibility RT-qPCR system simultaneous validation processes.

Language: Английский

Avian Influenza Virus A(H5Nx) and Prepandemic Candidate Vaccines: State of the Art DOI Open Access
Daniele Focosi, Fabrizio Maggi

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(15), P. 8550 - 8550

Published: Aug. 5, 2024

Avian influenza virus has been long considered the main threat for a future pandemic. Among possible avian subtypes, A(H5N1) clade 2.3.4.4b is becoming enzootic in mammals, representing an alarming step towards In particular, genotype B3.13 recently caused outbreak US dairy cattle. Since pandemic preparedness largely based on availability of prepandemic candidate vaccine viruses, this review we will summarize current status enzootics, and challenges H5 manufacturing delivery.

Language: Английский

Citations

5
Embedding risk monitoring in infectious disease surveillance for timely and effective outbreak prevention and control DOI Creative Commons
Brecht Ingelbeen, Esther van Kleef,

Placide Mbala

et al.

BMJ Global Health, Journal Year: 2025, Volume and Issue: 10(2), P. e016870 - e016870

Published: Feb. 1, 2025

Epidemic intelligence efforts aim to predict, timely detect and assess (re-)emerging pathogens, guide evaluate infectious disease prevention or control. We emphasise the underused potential of integrating monitoring risks related exposure, death, particularly in settings where limited diagnostic capacity access healthcare hamper prevention/control measures. Monitoring One Health exposures, human behaviour, immunity, comorbidities, uptake control measures pathogen characteristics can complement facility-based surveillance generating signals imminent ongoing outbreaks, targeting preventive/control interventions epidemic preparedness high-risk areas subpopulations. Low-cost risk data sources include electronic medical records, existing household/patient/environmental surveys, Demographic Surveillance Systems, medicine distribution programmatic data. Public health authorities need identify prioritise that effectively fill gaps not accurately answer, determine indicators generate from data, ensure availability, regular analysis dissemination.

Language: Английский

Citations

0
Pasteurized retail dairy enables genomic surveillance of H5N1 avian influenza virus in United States cattle DOI Creative Commons
Andrew J. Lail, William C. Vuyk, Heather Machkovech

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 13, 2024

Abstract Highly pathogenic avian influenza (HPAI) viruses with H5 hemagglutinin (HA) genes (clade 2.3.4.4b) are causing an ongoing panzootic in wild birds. Circulation of these is associated spillover infections multiple species mammals, including a large, unprecedented outbreak American dairy cattle. With limited testing herds, there unmet need for genomic surveillance. Infected cattle can shed high amounts HPAI H5N1 milk, allowing detection pasteurized retail samples. Over 2-month sampling period one Midwestern city, we obtained products processed 20 different states. Here demonstrate that tiled-amplicon sequencing approach produced over 90% genome coverage at greater than 20x depth from 5 13 viral RNA positive A combination RT-qPCR and be useful component One Health framework responding to the

Language: Английский

Citations

1
Comparison of Extraction Methods for the Detection of Avian Influenza Virus RNA in Cattle Milk DOI Creative Commons
Chantal J. Snoeck, Aurélie Sausy,

Manon Bourg

et al.

Viruses, Journal Year: 2024, Volume and Issue: 16(9), P. 1442 - 1442

Published: Sept. 10, 2024

Since early 2024, a multistate outbreak of highly pathogenic avian influenza H5N1 has been affecting dairy cattle in the USA. The viral RNA concentrations milk make it an ideal matrix for surveillance purposes. However, detection multi-component fluids such as can be complex, and optimization methods is thus required. Raw bulk tank mastitis samples were artificially contaminated with strain subjected to five extraction methods. HCoV-229E synthetic included exogenous internal process controls. Given high load usually observed individual raw samples, four out tested would enable normal texture, over time window at least 2 weeks post-onset clinical signs. Nevertheless, sample dilution 1:3 molecular transport medium prior provided best results inhibitory substances good recovery rate RNA, that reached 12.5 ± 1.2% 10.4 3.8% two independent experiments 11.2 3.6% 10.0 2.9% on cohorts samples. We have also shown compatibility RT-qPCR system simultaneous validation processes.

Language: Английский

Citations

0