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Prevalence and molecular characteristics of Listeria monocytogenes in cooked products and its comparison with isolates from listeriosis cases

Overview of attention for article published in Frontiers of Medicine, January 2018
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Title
Prevalence and molecular characteristics of Listeria monocytogenes in cooked products and its comparison with isolates from listeriosis cases
Published in
Frontiers of Medicine, January 2018
DOI 10.1007/s11684-017-0593-9
Pubmed ID
Authors

Hong Wang, Lijuan Luo, Zhengdong Zhang, Jianping Deng, Yan Wang, Yimao Miao, Ling Zhang, Xi Chen, Xiang Liu, Songsong Sun, Bo Xiao, Qun Li, Changyun Ye

Abstract

This study aimed to investigate the prevalence and molecular characteristics of Listeria monocytogenes in cooked products in Zigong City, China. The overall occurrence of the L. monocytogenes in the ready-to-eat (RTE) shops and mutton restaurants surveyed was 16.2% (141/873). An occurrence of 13.5% was observed in RTE pork, 6.5% in RTE vegetables, and more than 24.0% in either cooked mutton or cooked haggis. Serotype 1/2b (45.4%), 1/2a (33.3%), and 1/2c (14.2%) were the predominant types. By comparing the clonal complexes (CCs) based on multilocus sequence typing (MLST) of the L. monocytogenes from cooked foods in Zigong City and 33 listeriosis cases from different districts of China, CC87, CC9, CC8, and CC3 were showed to be prevalent in cooked products and CC87 and CC3 were the first two frequent types in the 33 clinic-source strains. All CC87 stains harbored the newly reported Listeria pathogenicity island 4 (LIPI-4) gene fragment ptsA, and all CC3 strains possessed the Listeria pathogenicity island 3 (LIPI-3) gene fragment llsX. These may increase the occurrence of the strains belonging to CC87 and CC3 in listeriosis cases in China and also underline the risk of infection owing to the consumption of the cooked products from Zigong. ST619 (serotype 1/2b) harbored both llsX and ptsA, indicating a potential hypervirulent sequence type in Zigong.

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Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 18%
Researcher 6 12%
Student > Ph. D. Student 5 10%
Student > Bachelor 5 10%
Unspecified 3 6%
Other 10 20%
Unknown 12 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 24%
Biochemistry, Genetics and Molecular Biology 4 8%
Veterinary Science and Veterinary Medicine 3 6%
Unspecified 3 6%
Immunology and Microbiology 3 6%
Other 6 12%
Unknown 19 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 September 2018.
All research outputs
#20,461,148
of 23,018,998 outputs
Outputs from Frontiers of Medicine
#279
of 350 outputs
Outputs of similar age
#378,234
of 441,125 outputs
Outputs of similar age from Frontiers of Medicine
#11
of 13 outputs
Altmetric has tracked 23,018,998 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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