Trends of foodborne diseases in China: lessons from laboratory-based surveillance since 2011

Liu, Ji‐Kai; Bai, Li; Li, Weiwei; Han, Haihong; Fu, Ping; Ma, Xiaochen; Bi, Zhuanfang; Yang, Xiaorong; Zhang, Xiuli; Zhen, Shiqi; Deng, Xiaoling; Liu, Xiumei; Guo, Yunchang

doi:10.1007/s11684-017-0608-6

Cited by 106 publications

(64 citation statements)

References 38 publications

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“…However, there was a great difference between coastal provinces and inland provinces. The contamination rate in coastal provinces (41.87%) was higher than that in inland provinces (23.14%), which was in accordance with the high level of foodborne V. parahaemolyticus infections in the coastal cities in China 11,28 . Additionally, aquatic products collected from marketplaces showed a much higher contamination rate of V. parahaemolyticus (40.14%) than those collected from supermarkets (23.07%), reflecting that the standardized procurement conditions in supermarkets might significantly reduce the risk of V. parahaemolyticus infection.…”

Section: Technical Validationsupporting

confidence: 63%

A database for risk assessment and comparative genomic analysis of foodborne Vibrio parahaemolyticus in China

Pang¹,

Li²,

Chen³

et al. 2020

Sci Data

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Vibrio parahaemolyticus is a major foodborne pathogen worldwide. The increasing number of cases of V. parahaemolyticus infections in China indicates an urgent need to evaluate the prevalence and genetic diversity of this pathogenic bacterium. In this paper, we introduce the Foodborne Vibrio parahaemolyticus genome database (FVPGD), the first scientific database of foodborne V. parahaemolyticus distribution and genomic data in China, based on our previous investigations of V. parahaemolyticus contamination in different kinds of food samples across China from 2011 to 2016. The dataset includes records of 2,499 food samples and 643 V. parahaemolyticus strains from supermarkets and marketplaces distributed over 39 cities in China; 268 whole-genome sequences have been deposited in this database. A spatial view on the risk situations of V. parahaemolyticus contamination in different food types is provided. Additionally, the database provides a functional interface of sequence BLAST, core genome multilocus sequence typing, and phylogenetic analysis. The database will become a powerful tool for risk assessment and outbreak investigations of foodborne pathogens in China.

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Section: Technical Validationsupporting

confidence: 63%

A database for risk assessment and comparative genomic analysis of foodborne Vibrio parahaemolyticus in China

Pang¹,

Li²,

Chen³

et al. 2020

Sci Data

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“…Ninety-eight foodborne disease outbreaks were reported in Shandong, China in 2014, involving 1238 patients and four deaths, mostly caused by pathogenic microorganisms [6]. The top five bacterial pathogens responsible for foodborne outbreaks from 2011 to 2016 in China were Vibrio parahaemolyticus, Salmonella spp., Staphylococcus aureus (enterotoxin), Bacillus cereus, and diarrheagenic Escherichia coli [7]. Notably, there had been 4342 foodborne cases caused by B. cereus during these 6 years.…”

Section: Introductionmentioning

confidence: 99%

Assessment and molecular characterization of Bacillus cereus isolated from edible fungi in China

Liu

et al. 2020

BMC Microbiol

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Background Bacillus cereus is a foodborne pathogen commonly found in nature and food and can cause food spoilage and health issues. Although the prevalence of B. cereus in foods has been reported worldwide, the extent of contamination in edible fungi, which has become increasingly popular as traditional or functional food, is largely unknown. Here we investigated the prevalence, toxin genes’ distribution, antibiotic resistance, and genetic diversity of B. cereus isolated from edible fungi in China. Results Six hundred and ninety-nine edible fungi samples were collected across China, with 198 (28.3%) samples found to be contaminated by B. cereus, with an average contamination level of 55.4 most probable number (MPN)/g. Two hundred and forty-seven B. cereus strains were isolated from the contaminated samples. Seven enterotoxin genes and one cereulide synthetase gene were detected. The detection frequencies of all enterotoxin genes were ≥ 80%, whereas the positive rate of the cesB gene in B. cereus was 3%. Most isolates were resistant to penicillins, β-lactam/β-lactamase inhibitor combinations, cephems, and ansamycins, but were susceptible to penems, aminoglycosides, macrolides, ketolide, glycopeptides, quinolones, phenylpropanol, tetracyclines, lincosamides, streptogramins, and nitrofurans. Meanwhile, 99.6% of all isolates displayed multiple antimicrobial resistance to three or more classes of antimicrobials. Using genetic diversity analysis, all isolates were defined in 171 sequence types (STs), of which 83 isolates were assigned to 78 new STs. Conclusions This study provides large-scale insight into the prevalence and potential risk of B. cereus in edible fungi in China. Approximately one-third of the samples were contaminated with B. cereus, and almost all isolates showed multiple antimicrobial resistance. Detection frequencies of all seven enterotoxin genes were equal to or more than 80%. These new findings may indicate a need for proper pre-/post-processing of edible fungi to eliminate B. cereus, thereby preventing the potential risk to public health.

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“…The hazard associated with food contamination continues to be a worldwide human health serious concern [ 1 , 2 ]. The number of outbreaks related with food, and water contamination, has not shown any significant decrease in the past four years, and according with the annual report of the European Food Safety Authority (EFSA) and the European Center for Disease Control and Prevention (ECDC), in 2016 an increase in the general trend was observed compared with 2015.…”

Section: Introductionmentioning

confidence: 99%

Multiplex Detection of Salmonella spp., E. coli O157 and L. monocytogenes by qPCR Melt Curve Analysis in Spiked Infant Formula

et al. 2020

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Food poisoning continue to be a threat in the food industry showing a need to improve the detection of the pathogen responsible for the hospitalization cases and death. DNA-based techniques represent a real advantage and allow the detection of several targets at the same time, reducing cost and time of analysis. The development of new methodology using SYBR Green qPCR for the detection of L. monocytogenes, Salmonella spp. and E. coli O157 simultaneously was developed and a non-competitive internal amplification control (NC-IAC) was implemented to detect reaction inhibition. The formulation and supplementation of the enrichment medium was also optimized to allow the growth of all pathogens. The limit of detection (LoD) 95% obtained was <1 CFU/25 g for E. coli O157, and 2 CFU/25 g for Salmonella spp. and L. monocytogenes and regarding the multiplex detection a LoD 95% of 1.7 CFU/25 g was observed. The specificity, relative sensitivity and accuracy of full methodology were 100% and the use of the NC-IAC allowed the reliability of the results without interfering with the sensitivity of the methodology. The described study proved to obtain results comparable to those of probe-based qPCR, and more economically than classical high resolution melting qPCR, being both important aspects for its implementation in the food industry.

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Trends of foodborne diseases in China: lessons from laboratory-based surveillance since 2011

Cited by 106 publications

References 38 publications

A database for risk assessment and comparative genomic analysis of foodborne Vibrio parahaemolyticus in China

A database for risk assessment and comparative genomic analysis of foodborne Vibrio parahaemolyticus in China

Assessment and molecular characterization of Bacillus cereus isolated from edible fungi in China

Multiplex Detection of Salmonella spp., E. coli O157 and L. monocytogenes by qPCR Melt Curve Analysis in Spiked Infant Formula

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