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Bo H, Zhang Y, Dong J, Li X, Zhao X, Wei H, Li Z, Wang D. Characterization of the avian influenza viruses distribution in the environment of live poultry market in China, 2019-2023. Infect Dis Poverty 2025; 14:36. [PMID: 40346680 PMCID: PMC12063257 DOI: 10.1186/s40249-025-01304-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2025] [Accepted: 04/10/2025] [Indexed: 05/11/2025] Open
Abstract
BACKGROUND The prevalence and transmission of avian influenza viruses (AIVs) in the live poultry market (LPM) is a serious public health concern. This study was to investigate the prevalence of different subtypes of avian influenza viruses in environment of LPM, and to analyze the differences and seasonality of the nucleic acid positive rate (NAPR) of A type, H5, H7, and H9 subtypes in feces, sewage, drinking water, breeding cages, and chopping boards. METHODS Feces, breeding cages swabs, drinking water, sewage and chopping boards swabs were collected from live poultry market during 2019-2023 from southern and northern China. Real-time PCR was used to screen for virus subtypes. Viruses were isolated, and deep sequencing was performed to obtain whole-genome sequences. Chi-square test was used for statistical analysis of categorical variable, GraphPad Prism software were used to construct graphs. RESULTS A total of 64,599 environmental samples were collected from live poultry markets in the southern China and northern China between 2019 and 2023. The average NAPR of the A type was significantly higher in the samples collected from the southern China than in those collected from the northern China (P < 0.05). The NAPR of H5, H7, and H9 subtypes carried by the five types of environmental samples in the southern China were significantly different (P < 0.05), and a higher NAPR was detected in chopping boards (10.84%), breeding cages (0.28%), and drinking water (40.97%) respectively. The average NAPR of the H9 and H5 subtypes displayed seasonality, reaching a peak in January and February in the southern China, while the peak of the H9 subtype was from October to February in the northern China. A total of 19 subtypes were identified. The H5 subtype significantly decreased, the H7 subtype was almost undetectable, and other subtypes, such as the H3 subtype, increased. CONCLUSIONS The highly pathogenic H5 subtype has significantly decreased in the live poultry market in China since 2022. However, the proportion of some subtypes, such as the H3 subtype, with low pathogenicity to poultry, has increased, while the H9 subtype remains at a high level. It must be noted that these low pathogenic avian influenza viruses often have no obvious symptoms, can circulate asymptomatically in infected poultry, and are highly pathogenic to humans. Our findings provide insights into the control and prevention of avian influenza viruses and the risk of pandemics associated with avian influenza viruses in the live poultry market.
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Affiliation(s)
- Hong Bo
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, National Health Commission, Beijing, 102206, China
- Key Laboratory for Biosafety, National Health Commission, Beijing, 102206, China
| | - Ye Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, National Health Commission, Beijing, 102206, China
- Key Laboratory for Biosafety, National Health Commission, Beijing, 102206, China
| | - Jie Dong
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, National Health Commission, Beijing, 102206, China
- Key Laboratory for Biosafety, National Health Commission, Beijing, 102206, China
| | - Xiyan Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, National Health Commission, Beijing, 102206, China
- Key Laboratory for Biosafety, National Health Commission, Beijing, 102206, China
| | - Xiang Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, National Health Commission, Beijing, 102206, China
- Key Laboratory for Biosafety, National Health Commission, Beijing, 102206, China
| | - Hejiang Wei
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, National Health Commission, Beijing, 102206, China
- Key Laboratory for Biosafety, National Health Commission, Beijing, 102206, China
| | - Zi Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, National Health Commission, Beijing, 102206, China
- Key Laboratory for Biosafety, National Health Commission, Beijing, 102206, China
| | - Dayan Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, National Health Commission, Beijing, 102206, China.
- Key Laboratory for Biosafety, National Health Commission, Beijing, 102206, China.
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Peng B, Wang Y, Xie Y, Dong X, Liu W, Li D, Chen H. An overview of influenza A virus detection methods: from state-of-the-art of laboratories to point-of-care strategies. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:4496-4515. [PMID: 38946516 DOI: 10.1039/d4ay00508b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Influenza A virus (IAV), a common respiratory infectious pathogen, poses a significant risk to personal health and public health safety due to rapid mutation and wide host range. To better prevent and treat IAV, comprehensive measures are needed for early and rapid screening and detection of IAV. Although traditional laboratory-based techniques are accurate, they are often time-consuming and not always feasible in emergency or resource-limited areas. In contrast, emerging point-of-care strategies provide faster results but may compromise sensitivity and specificity. Here, this review critically evaluates various detection methods for IAV from established laboratory-based procedures to innovative rapid diagnosis. By analyzing the recent research progress, we aim to address significant gaps in understanding the effectiveness, practicality, and applicability of these methods in different scenarios, which could provide information for healthcare strategies, guide public health response measures, and ultimately strengthen patient care in the face of the ongoing threat of IAV. Through a detailed comparison of diagnostic models, this review can provide a reliable reference for rapid, accurate and efficient detection of IAV, and to contribute to the diagnosis, treatment, prevention, and control of IAV.
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Affiliation(s)
- Bin Peng
- Guangzhou Huashang Vocational College, Guangzhou, 510000, China
| | - Yaqi Wang
- Guangzhou Institute for Food Inspection, Guangzhou, 510000, China
| | - Yueliang Xie
- Guangdong Agriculture Industry Business Polytechnic College, Guangzhou, 510000, China
| | - Xiangyan Dong
- State Key Laboratory of Chemical Oncogenomics, Institute of Biomedical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
| | - Wen Liu
- Guangdong Agriculture Industry Business Polytechnic College, Guangzhou, 510000, China
| | - Dan Li
- College of Pharmacy, Jinzhou Medical University, Jinzhou, 121000, China
| | - Hui Chen
- State Key Laboratory of Chemical Oncogenomics, Institute of Biomedical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
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Lai JM, Hwang YT, Chou CC. Modeling exotic highly pathogenic avian influenza virus entrance risk through air passenger violations. RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2012; 32:1093-1103. [PMID: 22150450 DOI: 10.1111/j.1539-6924.2011.01740.x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
The highly pathogenic avian influenza virus (HPAIV) is able to survive in poultry products and could be carried into a country by air travelers. An assessment model was constructed to estimate the probability of the exotic viable HPAIV entering Taiwan from two neighboring areas through poultry products carried illegally by air passengers at Taiwan's main airports. The entrance risk was evaluated based on HPAIV-related factors (the prevalence and the incubation period of HPAIV; the manufacturing process of poultry products; and the distribution-storage-transportation factor event) and the passenger event. Distribution functions were adopted to simulate the probabilities of each HPAIV factor. The odds of passengers being intercepted with illegal poultry products were estimated by logistic regression. The Monte Carlo simulation established that the risk caused by HPAIV-related factors from area A was lower than area B, whereas the entrance risk by the passenger event from area A was similar to area B. Sensitivity analysis showed that the incubation period of HPAIV and the interception of passenger violations were major determinants. Although the result showed viable HPAIV was unlikely to enter Taiwan through meat illegally carried by air passengers, this low probability could be caused by incomplete animal disease data and modeling uncertainties. Considering the negative socioeconomic impacts of HPAIV outbreaks, strengthening airport quarantine measures is still necessary. This assessment provides a profile of HPAIV entrance risk through air travelers arriving from endemic areas and a feasible direction for quarantine and public health measures.
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Affiliation(s)
- Jyh-Mirn Lai
- Department of Veterinary Medicine, National Chiayi University, Chiayi 600, Taiwan
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Abstract
RNA interference (RNAi) involves sequence-specific downregulation of target genes, leading to gene silencing in vitro and in vivo. Synthetic small interfering RNAs (siRNAs), formulated with appropriate delivery agents, can serve as effective tools for RNAi-based therapeutics. The potential of siRNA to provide antiviral activity has been studied extensively in many respiratory viruses, including influenza virus, wherein specific siRNAs target highly-conserved regions of influenza viral genome, leading to potent inhibition of viral RNA replication. Despite various delivery strategies, such as polycations and liposomes that have been employed to formulate siRNAs, effective delivery modalities are still needed. Although current strategies can provide significant biodistribution and delivery into lungs allowing gene silencing, complete protection and prolonged survival rates against multiple strains of influenza virus still remains a key challenge. Here, we describe methods and procedures pertaining to screening and selection of highly effective influenza-specific siRNAs in cell culture, in mice, and in the ferret model. This will be potentially useful to evaluate RNAi as a therapeutic modality for future clinical application.
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