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Gao J, Xue L, Li Y, Zhang J, Dai J, Ye Q, Wu S, Gu Q, Zhang Y, Wei X, Wu Q. A systematic review and meta-analysis indicates a high risk of human noroviruses contamination in vegetable worldwide, with GI being the predominant genogroup. Int J Food Microbiol 2024; 413:110603. [PMID: 38306773 DOI: 10.1016/j.ijfoodmicro.2024.110603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 11/30/2023] [Accepted: 01/21/2024] [Indexed: 02/04/2024]
Abstract
Human noroviruses (HuNoVs) are the most predominant viral agents of acute gastroenteritis. Vegetables are important vehicles of HuNoVs transmission. This study aimed to assess the HuNoVs prevalence in vegetables. We searched the Web of Science, Excerpta Medica Database, PubMed, and Cochrane databases until June 1, 2023. A total of 27 studies were included for the meta-analysis. Statistical analysis was conducted using Stata 14.0 software. This analysis showed that the pooled HuNoVs prevalence in vegetables was 7 % (95 % confidence interval (CI): 3-13) worldwide. The continent with largest number of studies was Europe, and the highest number of samples was lettuce. As revealed by the results of the subgroup meta-analysis, the prevalence of GI genogroup was the highest (3 %, 95 % CI: 1-7). A higher prevalence was seen in vegetables from farms (18 %, 95 % CI: 5-37), while only 4 % (95 % CI: 1-8) in retail. The HuNoVs prevalence of ready-to-eat vegetables and non-ready-to-eat vegetables was 2 % (95 % CI: 0-8) and 9 % (95 % CI: 3-16), respectively. The prevalence by quantitative real time RT-PCR was 8 % (95 % CI: 3-15) compared to 3 % (95 % CI: 0-13) by conventional RT-PCR. Furthermore, the HuNoVs prevalence in vegetables was 6 % (95 % CI: 1-14) in ISO pretreatment method and 8 % (95 % CI: 1-19) in non-ISO method, respectively. This study is helpful in comprehensively understanding the prevalence of HuNoVs contamination in vegetables worldwide.
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Affiliation(s)
- Junshan Gao
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Guangzhou, Guangdong 510070, China
| | - Liang Xue
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Guangzhou, Guangdong 510070, China.
| | - Yijing Li
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Guangzhou, Guangdong 510070, China
| | - Jumei Zhang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Guangzhou, Guangdong 510070, China
| | - Jingsha Dai
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Guangzhou, Guangdong 510070, China
| | - Qinghua Ye
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Guangzhou, Guangdong 510070, China
| | - Shi Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Guangzhou, Guangdong 510070, China
| | - Qihui Gu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Guangzhou, Guangdong 510070, China
| | - Youxiong Zhang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Guangzhou, Guangdong 510070, China
| | - Xianhu Wei
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Guangzhou, Guangdong 510070, China
| | - Qingping Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Guangzhou, Guangdong 510070, China.
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Kim TY, Zhu X, Kim SM, Lim JA, Woo MA, Lim MC, Luo K. A review of nucleic acid-based detection methods for foodborne viruses: Sample pretreatment and detection techniques. Food Res Int 2023; 174:113502. [PMID: 37986417 DOI: 10.1016/j.foodres.2023.113502] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 09/15/2023] [Accepted: 09/22/2023] [Indexed: 11/22/2023]
Abstract
Viruses are major pathogens that cause food poisoning when ingested via contaminated food and water. Therefore, the development of foodborne virus detection technologies that can be applied throughout the food distribution chain is essential for food safety. A common nucleic acid-based detection method is polymerase chain reaction (PCR), which has become the gold standard for monitoring food contamination by viruses due to its high sensitivity, and availability of commercial kits. However, PCR-based methods are labor intensive and time consuming, and are vulnerable to inhibitors that may be present in food samples. In addition, the methods are restricted with regard to site of analysis due to the requirement of expensive and large equipment for sophisticated temperature regulation and signal analysis procedures. To overcome these limitations, optical and electrical readout biosensors based on nucleic acid isothermal amplification technology and nanomaterials have emerged as alternatives for nucleic acid-based detection of foodborne viruses. Biosensors are promising portable detection tools owing to their easy integration into compact platforms and ability to be operated on-site. However, the complexity of food components necessitates the inclusion of tedious preprocessing steps, and the lack of stability studies on residual food components further restricts the practical application of biosensors as a universal detection method. Here, we summarize the latest advances in nucleic acid-based strategies for the detection of foodborne viruses, including PCR-based and isothermal amplification-based methods, gene amplification-free methods, as well as food pretreatment methods. The principles, strengths/disadvantages, and performance of each method, problems to be solved, and future prospects for the development of a universal detection method are discussed.
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Affiliation(s)
- Tai-Yong Kim
- Research Group of Food Safety and Distribution, Korea Food Research Institute (KFRI), Wanju-gun, Jeollabuk-do 55365, Republic of Korea
| | - Xiaoning Zhu
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong Province 266003, China
| | - Se-Min Kim
- Research Group of Food Safety and Distribution, Korea Food Research Institute (KFRI), Wanju-gun, Jeollabuk-do 55365, Republic of Korea; Department of Food Science and Technology, Jeonbuk National University, Jeonju-si, Jeollabuk-do 54896, Republic of Korea
| | - Jeong-A Lim
- Research Group of Food Safety and Distribution, Korea Food Research Institute (KFRI), Wanju-gun, Jeollabuk-do 55365, Republic of Korea
| | - Min-Ah Woo
- Research Group of Food Safety and Distribution, Korea Food Research Institute (KFRI), Wanju-gun, Jeollabuk-do 55365, Republic of Korea
| | - Min-Cheol Lim
- Research Group of Food Safety and Distribution, Korea Food Research Institute (KFRI), Wanju-gun, Jeollabuk-do 55365, Republic of Korea; Department of Food Biotechnology, Korea University of Science and Technology, Daejeon-si 34113, Republic of Korea.
| | - Ke Luo
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong Province 266003, China.
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