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Wu R, Meng B, Corredig M, Griffiths MW. Rapid Detection of Hepatitis A Virus in Foods Using a Bioluminescent Assay in Real-Time (BART) and Reverse Transcription Loop-Mediated Isothermal Amplification (RT-LAMP) Technology. FOOD AND ENVIRONMENTAL VIROLOGY 2023; 15:144-157. [PMID: 36640204 PMCID: PMC9839959 DOI: 10.1007/s12560-022-09548-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 12/30/2022] [Indexed: 06/13/2023]
Abstract
Foodborne hepatitis A infections have been considered as a major threat for public health worldwide. Increased incidences of hepatitis A virus (HAV) infection has been associated with growing global trade of food products. Rapid and sensitive detection of HAV in foods is very essential for investigating the outbreaks. Real-time RT-PCR has been most widely used for the detection of HAV by far. However, the technology relies on fluorescence determination of the amplicon and requires sophisticated, high-cost instruments and trained personnel, limiting its use in low resource settings. In this study, a robust, affordable, and simple assay, reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay in combination with a bioluminescence-based determination of amplification in real-time (BART), was developed for the detection of HAV in different food matrices, including green onion, strawberry, mussel, and milk. The efficiencies of a one-step RT-LAMP-BART and a two-step RT-LAMP-BART were investigated for the detection of HAV in different food matrices and was compared with that of real-time RT-PCR. The sensitivity of the RT-LAMP-BART assay was significantly affected by Mg2+ concentration (P < 0.05), in addition to primer quality. The optimal Mg2+ concentration was 2 mM for one-step RT-LAMP-BART and 4 mM for two-step RT-LAMP-BART. Compared with cartridge-purified primers, HPLC-purified primers could greatly improve the sensitivity of the RT-LAMP-BART assay (P < 0.05). For detecting HAV in different food matrices, the performance of two-step RT-LAMP-BART was comparable with that of real-time RT-PCR and was better than that of one-step RT-LAMP-BART. The detection limit of the two-step RT-LAMP-BART for HAV in green onion, strawberry, mussel, and milk was 8.3 × 100 PFU/15 g, 8.3 × 101 PFU/50 g, 8.3 × 100 PFU/5 g, and 8.3 × 100 PFU/40 mL, respectively. The developed RT-LAMP-BART was an effective, simple, sensitive, and robust method for foodborne HAV detection.
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Affiliation(s)
- Ruiqin Wu
- Department of Food Science, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada.
- Canadian Research Institute for Food Safety, 43 McGilvray Street, Guelph, ON, N1G 2W1, Canada.
| | - Baozhong Meng
- Department of Molecular and Cellular Biology, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada
| | - Milena Corredig
- Department of Food Science, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada
| | - Mansel W Griffiths
- Department of Food Science, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada
- Canadian Research Institute for Food Safety, 43 McGilvray Street, Guelph, ON, N1G 2W1, Canada
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Hrdy J, Vasickova P. Virus detection methods for different kinds of food and water samples – The importance of molecular techniques. Food Control 2022. [DOI: 10.1016/j.foodcont.2021.108764] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Efficient capturing and sensitive detection of hepatitis A virus from solid foods (green onion, strawberry, and mussel) using protamine-coated iron oxide (Fe 3O 4) magnetic nanoparticles and real-time RT-PCR. Food Microbiol 2021; 102:103921. [PMID: 34809947 DOI: 10.1016/j.fm.2021.103921] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 09/11/2021] [Accepted: 09/29/2021] [Indexed: 11/21/2022]
Abstract
Hepatitis A virus (HAV) continues to be a public health concern and has caused large foodborne outbreaks and economic losses worldwide. Rapid detection of HAV in foods can help to confirm the source of outbreaks in a timely manner and prevent more people getting infected. In order to efficiently detect HAV at low levels of contamination in foods, rapid and easy-to-use techniques are required to separate and concentrate viral particles to a small volume. In the current study, HAV particles were eluted from green onion, strawberry, and mussel using glycine buffer (0.05 M glycine, 0.14 M NaCl, 0.2% (v/v) Tween 20, pH 9.0) and suspended viral particles were captured using protamine-coated magnetic nanoparticles (PMNPs). This process caused a selective concentration of the viral particles, which could be followed by quantitative real-time RT-PCR analysis. Results showed that pH, NaCl concentration, and PMNP amount used for the capturing had significant effects on the recovery efficiency of HAV (P < 0.05). The highest recovery rate was obtained at pH 9.0, 0.14 M NaCl, and 50 μL of PMNPs. The optimized PMNP capturing method enabled the rapid capture and concentration of HAV. A sensitive real-time RT-PCR test was developed with detection limits of 8.3 × 100 PFU/15 g, 8.3 × 101 PFU/50 g, and 8.3 × 100 PFU/5 g of HAV in green onion, strawberry, and mussel, respectively. In conclusion, the PMNP method is rapid and convenient in capturing HAV from complex solid food samples and can generate concentrated HAV sample solutions suitable for high-sensitivity real time RT-PCR detection of the virus.
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Di Cola G, Fantilli AC, Pisano MB, Ré VE. Foodborne transmission of hepatitis A and hepatitis E viruses: A literature review. Int J Food Microbiol 2021; 338:108986. [PMID: 33257099 DOI: 10.1016/j.ijfoodmicro.2020.108986] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 11/04/2020] [Accepted: 11/05/2020] [Indexed: 12/19/2022]
Abstract
Foodborne viruses have been recognized as a growing concern to the food industry and a serious public health problem. Hepatitis A virus (HAV) is responsible for the majority of viral outbreaks of food origin worldwide, while hepatitis E virus (HEV) has also been gaining prominence as a foodborne viral agent in the last years, due to its zoonotic transmission through the consumption of uncooked or undercooked infected meat or derivatives. However, there is a lack of scientific reports that gather all the updated information about HAV and HEV as foodborne viruses. A search of all scientific articles about HAV and HEV in food until March 2020 was carried out, using the keywords "HAV", "HEV", "foodborne", "outbreak" and "detection in food". Foodborne outbreaks due to HAV have been reported since 1956, mainly in the USA, and in Europe in recent years, where the number of outbreaks has been increasing throughout time, and nowadays it has become the continent with the highest foodborne HAV outbreak report. Investigation and detection of HAV in food is more recent, and the first detections were performed in the 1990s decade, most of them carried out on seafood, first, and frozen food, later. On the other hand, HEV has been mainly looked for and detected in food derived from reservoir animals, such as meat, sausages and pate of pigs and wild boars. For this virus, only isolated cases and small outbreaks of foodborne transmission have been recorded, most of them in industrialized countries, due to HEV genotype 3 or 4. Virus detection in food matrices requires special processing of the food matrix, followed by RNA detection by molecular techniques. For HAV, a real-time PCR has been agreed as the standard method for virus detection in food; in the case of HEV, a consensus assay for its detection in food has not been reached yet. Our investigation shows that there is still little data about HAV and HEV prevalence and frequency of contamination in food, prevalent viral strains, and sources of contamination, mainly in developing countries, where there is no research and legislation in this regard. Studies on these issues are needed to get a better understanding of foodborne viruses, their maintenance and their potential to cause diseases.
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Affiliation(s)
- Guadalupe Di Cola
- Instituto de Virología "Dr. J. M. Vanella", Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Enfermera Gordillo Gomez s/n, CP: 5016 Córdoba, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina.
| | - Anabella C Fantilli
- Instituto de Virología "Dr. J. M. Vanella", Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Enfermera Gordillo Gomez s/n, CP: 5016 Córdoba, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina
| | - María Belén Pisano
- Instituto de Virología "Dr. J. M. Vanella", Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Enfermera Gordillo Gomez s/n, CP: 5016 Córdoba, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina
| | - Viviana E Ré
- Instituto de Virología "Dr. J. M. Vanella", Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Enfermera Gordillo Gomez s/n, CP: 5016 Córdoba, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina
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Hassan Y, Ogg S, Ge H. Novel Binding Mechanisms of Fusion Broad Range Anti-Infective Protein Ricin A Chain Mutant-Pokeweed Antiviral Protein 1 (RTAM-PAP1) against SARS-CoV-2 Key Proteins in Silico. Toxins (Basel) 2020; 12:toxins12090602. [PMID: 32957454 PMCID: PMC7551812 DOI: 10.3390/toxins12090602] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 09/10/2020] [Accepted: 09/14/2020] [Indexed: 01/24/2023] Open
Abstract
The deadly pandemic named COVID-19, caused by a new coronavirus (SARS-CoV-2), emerged in 2019 and is still spreading globally at a dangerous pace. As of today, there are no proven vaccines, therapies, or even strategies to fight off this virus. Here, we describe the in silico docking results of a novel broad range anti-infective fusion protein RTAM-PAP1 against the various key proteins of SARS-CoV-2 using the latest protein-ligand docking software. RTAM-PAP1 was compared against the SARS-CoV-2 B38 antibody, ricin A chain, a pokeweed antiviral protein from leaves, and the lectin griffithsin using the special CoDockPP COVID-19 version. These experiments revealed novel binding mechanisms of RTAM-PAP1 with a high affinity to numerous SARS-CoV-2 key proteins. RTAM-PAP1 was further characterized in a preliminary toxicity study in mice and was found to be a potential therapeutic candidate. These findings might lead to the discovery of novel SARS-CoV-2 targets and therapeutic protein structures with outstanding functions.
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Affiliation(s)
- Yasser Hassan
- Ophiuchus Medicine Inc., Vancouver, BC V6B 0M3, Canada
- Correspondence:
| | - Sherry Ogg
- Biotechnology, Johns Hopkins University, AAP, Baltimore, MD 21218, USA;
| | - Hui Ge
- AscentGene Inc., Gaithersburg, MD 20878, USA;
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Parada-Fabián JC, Juárez-García P, Natividad-Bonifacio I, Vázquez-Salinas C, Quiñones-Ramírez EI. Identification of Enteric Viruses in Foods from Mexico City. FOOD AND ENVIRONMENTAL VIROLOGY 2016; 8:215-220. [PMID: 27221088 DOI: 10.1007/s12560-016-9244-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Accepted: 05/13/2016] [Indexed: 06/05/2023]
Abstract
Foodborne viruses are a common and, probably, the most under-recognized cause of outbreaks of gastroenteritis. Among the main foods involved in the transmission of human enteric viruses are mollusks, and fruits and vegetables irrigated with wastewater and/or washed with non-potable water or contaminated by contact with surfaces or hands of the infected personnel during its preparation. In this study, 134 food samples were analyzed for the detection of Norovirus, Rotavirus, and Hepatitis A virus (HAV) by amplification of conserved regions of these viruses. From the 134 analyzed samples, 14 were positive for HAV, 6 for Norovirus, and 11 for Rotavirus. This is the first report in Mexico where emphasis is given to the presence of HAV and Norovirus on perishable foods and food from fisheries, as well as Rotavirus on frozen vegetables, confirming the role of vegetables and bivalve mollusks as transmitting vehicles of enteric viruses.
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Affiliation(s)
- José Carlos Parada-Fabián
- Department of Microbiology, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Calle Carpio y Plan de Ayala s/n, C.P. 11340, Mexico City, Mexico
| | - Patricia Juárez-García
- Department of Microbiology, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Calle Carpio y Plan de Ayala s/n, C.P. 11340, Mexico City, Mexico
| | - Iván Natividad-Bonifacio
- Department of Microbiology, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Calle Carpio y Plan de Ayala s/n, C.P. 11340, Mexico City, Mexico
| | - Carlos Vázquez-Salinas
- División de Ciencias Biológicas y de la Salud, Universidad Autónoma Metropolitana-Iztapalapa, Avenida San Rafael Atlixco 186, Colonia Vicentina, C.P. 09340, Mexico City, Mexico
| | - Elsa Irma Quiñones-Ramírez
- Department of Microbiology, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Calle Carpio y Plan de Ayala s/n, C.P. 11340, Mexico City, Mexico.
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Park S, Jeong H, Jung J, Kim K, Park S, Kim M, Kim Y, Oh Y, Jung K. Monitoring the Hepatitis A Virus in Oyster from Korea. ACTA ACUST UNITED AC 2015. [DOI: 10.4236/aim.2015.513087] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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