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Shan S, Li R, Xia W, Tong X, Huang Y, Tan Y, Peng S, Liu C, Wang S, Liu D. High-resolution melting real-time polymerase chain reaction assays for subtyping of five diarrheagenic Escherichia coli by a single well in milk. J Dairy Sci 2024; 107:5416-5426. [PMID: 38490558 DOI: 10.3168/jds.2024-24331] [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: 10/19/2023] [Accepted: 02/15/2024] [Indexed: 03/17/2024]
Abstract
Diarrheagenic Escherichia coli (DEC) is a kind of foodborne pathogen that poses a significant threat to both food safety and human health. To address the current challenges of high prevalence and difficult subtyping of DEC, this study developed a method that combined multiplex PCR with high-resolution melting (HRM) analysis for subtyping 5 kinds of DEC. The target genes are amplified by multiplex PCR in a single well, and HRM curve analysis was applied for distinct amplicons based on different melting temperature (Tm) values. The method enables discrimination of different DEC types based on characteristic peaks and distinct Tm values in the thermal melting curve. The assay exhibited 100% sensitivity and 100% specificity with a detection limit of 0.5 to 1 ng/μL. The results showed that different DNA concentrations did not influence the subtyping results, demonstrating this method owed high reliability and stability. In addition, the method was also used for the detection and subtyping of DEC in milk. This method streamlines operational procedures, shorts the detection time, and offers a novel tool for subtyping DEC.
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Affiliation(s)
- Shan Shan
- College of Life Science, National R&D Center for Freshwater Fish Processing, Jiangxi Normal University, Nanchang 330022, China; Jiangxi Province Key Laboratory of Diagnosing and Tracing of Foodborne Disease, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang 330029, China
| | - Rui Li
- Jiangxi Province Key Laboratory of Diagnosing and Tracing of Foodborne Disease, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang 330029, China; Jiangxi Provincial Key Laboratory of Preventive Medicine, School of Public Health, Nanchang University, Nanchang 330019, China
| | - Weicheng Xia
- Center for Life Sciences, Yunnan University, Kunming 650031, China
| | - Xiaoyu Tong
- College of Life Science, National R&D Center for Freshwater Fish Processing, Jiangxi Normal University, Nanchang 330022, China
| | - Yanmei Huang
- Jiangxi YeLi Medical Device Co. Ltd., Nanchang 330008, China
| | - Yucheng Tan
- Jiangxi Province Key Laboratory of Diagnosing and Tracing of Foodborne Disease, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang 330029, China; Jiangxi Provincial Key Laboratory of Preventive Medicine, School of Public Health, Nanchang University, Nanchang 330019, China
| | - Silu Peng
- Jiangxi Province Key Laboratory of Diagnosing and Tracing of Foodborne Disease, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang 330029, China
| | - Chengwei Liu
- Jiangxi Province Key Laboratory of Diagnosing and Tracing of Foodborne Disease, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang 330029, China
| | - Shuanglong Wang
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, China
| | - Daofeng Liu
- Jiangxi Province Key Laboratory of Diagnosing and Tracing of Foodborne Disease, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang 330029, China.
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Ndraha N, Lin HY, Wang CY, Hsiao HI, Lin HJ. Rapid detection methods for foodborne pathogens based on nucleic acid amplification: Recent advances, remaining challenges, and possible opportunities. FOOD CHEMISTRY. MOLECULAR SCIENCES 2023; 7:100183. [PMID: 37767229 PMCID: PMC10520789 DOI: 10.1016/j.fochms.2023.100183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 08/22/2023] [Accepted: 09/16/2023] [Indexed: 09/29/2023]
Abstract
This article presents a review of recent advancements in the utilization of NAA-based techniques for detecting foodborne pathogens in food products, focusing on studies conducted within the past five years. This review revealed that recent research efforts have primarily aimed at enhancing sensitivity and specificity by improving sample pre-treatment/preparation, DNA isolation, and readout methods. Isothermal-based amplification methods, such as LAMP, RPA, RAA, and RCA, have emerged as promising approaches, providing rapid results within one h and often demonstrating comparable or superior sensitivity to conventional or qPCR methods. However, the attention paid to specific pathogens varies, with Salmonella spp., Listeria spp., E. coli, and V. parahaemolyticus receiving more focus than norovirus and other similar pathogens. NAA-based methods have the potential to significantly contribute to food safety and public health protection. However, further advancements are necessary to fully realize their benefits.
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Affiliation(s)
- Nodali Ndraha
- Department of Bioscience and Biotechnology, National Taiwan Ocean University, Keelung 202301, Taiwan
| | - Hung-Yun Lin
- Center of Excellence for the Oceans, National Taiwan Ocean University, Keelung 202301, Taiwan
| | - Chen-Yow Wang
- Department of Bioscience and Biotechnology, National Taiwan Ocean University, Keelung 202301, Taiwan
| | - Hsin-I Hsiao
- Department of Food Science, National Taiwan Ocean University, Keelung, 202301 Taiwan
| | - Han-Jia Lin
- Department of Bioscience and Biotechnology, National Taiwan Ocean University, Keelung 202301, Taiwan
- Center of Excellence for the Oceans, National Taiwan Ocean University, Keelung 202301, Taiwan
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Yun YS, Park DY, Oh IH, Shin WR, Ahn G, Ahn JY, Kim YH. Pathogenic Factors and Recent Study on the Rapid Detection of Shiga Toxin-Producing Escherichia coli (STEC). Mol Biotechnol 2023:10.1007/s12033-023-00985-8. [PMID: 38153662 DOI: 10.1007/s12033-023-00985-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 11/05/2023] [Indexed: 12/29/2023]
Abstract
This comprehensive review delves into the pathogenicity and detection of Shiga Toxin-Producing Escherichia coli (STEC), shedding light on its various genetic and clinical manifestations. STEC originating from E. coli acquires pathogenicity through mobility and genetic elements. The pathogenicity of STEC is explored in terms of clinical progression, complications, and key toxins such as Shiga toxin (Stx). Stx1 and Stx2 are two distinct Stx types exhibiting different toxicities, with Stx2 often associated with severe diseases. This review also delves into Subtilase cytotoxin, an additional cytotoxin produced by some STEC strains. Pathogenic mechanisms of STEC, such as attaching and effacing intestinal lesions, are discussed, with a focus on roles of genetic factors. Plasmids in STEC can confer unique pathogenicity. Hybridization with other pathogenic E. coli can create more lethal pathogens. This review covers a range of detection methods, ranging from DNA amplification to antigen detection techniques, emphasizing the need for innovative approaches to improve the sensitivity and speed of STEC diagnosis. In conclusion, understanding diverse aspects of STEC pathogenicity and exploring enhanced diagnostic methods are critical to addressing this foodborne pathogen effectively. Pathology of Shiga toxin toxicity. STEC-derived Shiga toxin consists of one A subunit and five B subunits. Pathological symptoms of the disease can progress to HUS within two weeks after the onset of diarrhea. Shiga toxin intoxication is also associated with many complications, such as neurological and cardiac complications. This figure was reconstructed based on data from Bruyand et al.
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Affiliation(s)
- Young-Sun Yun
- Department of Microbiology, Chungbuk National University, 1 Chungdae-Ro, Seowon-Gu, Cheongju, 28644, Republic of Korea
| | - Dae-Young Park
- Department of Microbiology, Chungbuk National University, 1 Chungdae-Ro, Seowon-Gu, Cheongju, 28644, Republic of Korea
| | - In-Hwan Oh
- Department of Microbiology, Chungbuk National University, 1 Chungdae-Ro, Seowon-Gu, Cheongju, 28644, Republic of Korea
| | - Woo-Ri Shin
- Department of Bioengineering, University of Pennsylvania, 210 S 33rd St., Philadelphia, PA, 19104, USA
| | - Gna Ahn
- Center for Ecology and Environmental Toxicology, Chungbuk National University, Cheongju, 28644, Republic of Korea
| | - Ji-Young Ahn
- Department of Microbiology, Chungbuk National University, 1 Chungdae-Ro, Seowon-Gu, Cheongju, 28644, Republic of Korea.
| | - Yang-Hoon Kim
- Department of Microbiology, Chungbuk National University, 1 Chungdae-Ro, Seowon-Gu, Cheongju, 28644, Republic of Korea.
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Wang Z, Cui X, Hu A, Lu Z, Meng F, Zhou L, Bie X. Establishment of real-time fluorescence and visual LAMP for rapid detection of Escherichia coli O157:H7 and kits construction. Lett Appl Microbiol 2023; 76:ovad122. [PMID: 37863833 DOI: 10.1093/lambio/ovad122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 09/23/2023] [Accepted: 10/19/2023] [Indexed: 10/22/2023]
Abstract
Escherichia coli O157:H7 is a common pathogenic bacterium in food and water that can pose a threat to human health. The aim of this study was to develop loop-mediated isothermal amplification (LAMP) method for the detection of E. coli O157:H7 in food based on the specific gene Ecs_2840 and to construct rapid detection kits based on the established methods. Specifically, we established two methods of real-time fluorescent LAMP (RT-LAMP) and visual LAMP with calcein as an indicator. In pure bacterial culture, the cell sensitivity and genomic sensitivity of the RT-LAMP kit were 8.8 × 100 CFU ml-1 and 4.61 fg µl-1, respectively. The sensitivity of the visual LAMP kit was 2.35 × 100 CFU ml-1 and 4.61 fg µl-1. Both kits had excellent specificity and anti-interference performance. In addition, milk inoculated with 2.26 × 100 CFU ml-1E. coli O157:H7 could be detected within the reaction time after enrichment for 3 h. The results showed that the LAMP kits were rapid, sensitive, and specific for the detection of E. coli O157:H7 in food and had good application prospects in food safety surveillance.
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Affiliation(s)
- Zuwei Wang
- Nanjing Agricultural University, College of Food Science and Technology, Nanjing 210095, People's Republic of China
| | - Xinping Cui
- Nanjing Agricultural University, College of Food Science and Technology, Nanjing 210095, People's Republic of China
| | - Antuo Hu
- Nanjing Agricultural University, College of Food Science and Technology, Nanjing 210095, People's Republic of China
| | - Zhaoxin Lu
- Nanjing Agricultural University, College of Food Science and Technology, Nanjing 210095, People's Republic of China
| | - Fanqiang Meng
- Nanjing Agricultural University, College of Food Science and Technology, Nanjing 210095, People's Republic of China
| | - Libang Zhou
- Nanjing Agricultural University, College of Food Science and Technology, Nanjing 210095, People's Republic of China
| | - Xiaomei Bie
- Nanjing Agricultural University, College of Food Science and Technology, Nanjing 210095, People's Republic of China
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Liu X, Kukkar D, Deng Z, Yang D, Wang J, Kim KH, Zhang D. "Lock-and-key" recognizer-encoded lateral flow assays toward foodborne pathogen detection: An overview of their fundamentals and recent advances. Biosens Bioelectron 2023; 235:115317. [PMID: 37236010 DOI: 10.1016/j.bios.2023.115317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 04/11/2023] [Indexed: 05/28/2023]
Abstract
In light of severe health risks of foodborne pathogenic bacterial diseases, the potential utility of point-of-care (POC) sensors is recognized for pathogens detection. In this regard, lateral flow assay (LFA) is a promising and user-friendly option for such application among various technological approaches. This article presents a comprehensive review of "lock-and-key" recognizer-encoded LFAs with respect to their working principles and detection performance against foodborne pathogenic bacteria. For this purpose, we describe various strategies for bacteria recognition including the antibody-based antigen-antibody interactions, nucleic acid aptamer-based recognition, and phage-mediated targeting of bacterial cells. In addition, we also outline the technological challenges along with the prospects for the future development of LFA in food analysis. The LFA devices built based upon many recognition strategies are found to have great potential for rapid, convenient, and effective POC detection of pathogens in complex food matrixes. Future developments in this field should emphasize the development of high-quality bio-probes, multiplex sensors, and intelligent portable readers.
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Affiliation(s)
- Xiaojing Liu
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Deepak Kukkar
- Department of Biotechnology, Chandigarh University, Gharuan, Mohali, 147013, Punjab, India; University Centre for Research and Development, Chandigarh University, Gharuan, Mohali, 147013, Punjab, India
| | - Ziai Deng
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Di Yang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Ki-Hyun Kim
- Department of Civil and Environmental Engineering, Hanyang University, Seongdong-gu, Wangsimni-ro, Seoul, 04763, South Korea.
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China.
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