Infant food production environments: A potential reservoir for vancomycin-resistant enterococci non-nosocomial infections

Wang, Zining; Liao, Sihao; Huang, Guanwen; Feng, Mei; Yin, Rui; Teng, Lin; Jia, Chenghao; Yao, Yicheng; Yue, Min; Li, Yan

doi:10.1016/j.ijfoodmicro.2023.110105

Cited by 9 publications

(5 citation statements)

References 60 publications

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“…2) Relying solely on literature collection as the studied dataset was the current trade-off approach, the Chinese Pathogen Identification Net, led by the National Center for Disease Control and Prevention, would provide a more extensive dataset for understanding the salmonellosis burden in China. There is an urgent need for open access and data transparency from the Chinese surveillance and reporting system 27 . Nonetheless, this study illuminates underappreciated knowledge of the epidemiological trend due to SO in China, serving as a baseline for understanding the burden of salmonellosis and informing further outbreak prediction.…”

Section: Background and Summarymentioning

confidence: 99%

Salmonellosis outbreak archive in China: data collection and assembly

Wang,

Huang,

Liu

et al. 2024

Sci Data

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Infectious disease outbreaks transcend the medical and public health realms, triggering widespread panic and impeding socio-economic development. Considering that self-limiting diarrhoea of sporadic cases is usually underreported, the Salmonella outbreak (SO) study offers a unique opportunity for source tracing, spatiotemporal correlation, and outbreak prediction. To summarize the pattern of SO and estimate observational epidemiological indicators, 1,134 qualitative reports screened from 1949 to 2023 were included in the systematic review dataset, which contained a 506-study meta-analysis dataset. In addition to the dataset comprising over 50 columns with a total of 46,494 entries eligible for inclusion in systematic reviews or input into prediction models, we also provide initial literature collection datasets and datasets containing socio-economic and climate information for relevant regions. This study has a broad impact on advancing knowledge regarding epidemic trends and prevention priorities in diverse salmonellosis outbreaks and guiding rational policy-making or predictive modeling to mitigate the infringement upon the right to life imposed by significant epidemics.

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Section: Background and Summarymentioning

confidence: 99%

Salmonellosis outbreak archive in China: data collection and assembly

Wang,

Huang,

Liu

et al. 2024

Sci Data

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“…Addressing this matter holds significant importance not only for farmers and processing industries but also for consumers. Such efforts contribute to heightened sensitivity and awareness concerning animal health and welfare across the entire dairy chain, in particular for public health threats posed by zoonotic bacteria ( Halasa et al, 2007 ; Wang et al, 2023 ; Teng et al, 2024 ). Furthermore, the entero-mammary pathway theory proposes a potential connection between certain indigenous gut bacteria and the onset and progression of mastitis ( Hu et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Microbiome and metabolome analyses of milk and feces from dairy cows with healthy, subclinical, and clinical mastitis

Zhu,

Zhao,

Yang

et al. 2024

Front. Microbiol.

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Mastitis is commonly recognized as a localized inflammatory udder disease induced by the infiltration of exogenous pathogens. In the present study, our objective was to discern fecal and milk variations in both microbiota composition and metabolite profiles among three distinct groups of cows: healthy cows, cows with subclinical mastitis and cows with clinical mastitis. The fecal microbial community of cows with clinical mastitis was significantly less rich and diverse than the one harbored by healthy cows. In parallel, mastitis caused a strong disturbance in milk microbiota. Metabolomic profiles showed that eleven and twenty-eight molecules exhibited significant differences among the three groups in feces and milk, respectively. Similarly, to microbiota profile, milk metabolome was affected by mastitis more extensively than fecal metabolome, with particular reference to amino acids and sugars. Pathway analysis revealed that amino acids metabolism and energy metabolism could be considered as the main pathways altered by mastitis. These findings underscore the notable distinctions of fecal and milk samples among groups, from microbiome and metabolomic points of view. This observation stands to enhance our comprehension of mastitis in dairy cows.

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“…74 DENV-2 complete genome sequences were isolated during this study, and 166 reference sequences downloaded from the NCBI GenBank database were used to perform phylogenetic analysis. The phylogenetic tree based on complete genome sequences of DENV-2 was constructed using the neighbor-joining method in IQ-TREE, as described previously (Li et al, 2022c;Tang et al, 10.3389/fmicb.2023.1245416 Frontiers in Microbiology 03 frontiersin.org 2023; Wang et al, 2023). The whole genome sequences of 74 strains with translated amino acid (AA) sequences mutations were analyzed by Prokka Toolkit as stated before (Xu et al, 2021;Li et al, 2022a,b), and the secondary structure of structural proteins of DENV-2 epidemic and reference strains were predicted with the RNAfold (Hofacker, 2003;Gruber et al, 2015).…”

Section: Genomic Characterization and Phylogenetic Analysismentioning

confidence: 99%

Genomic characterization of dengue virus serotype 2 during dengue outbreak and endemics in Hangzhou, Zhejiang (2017–2019)

Sun,

Yao,

Siddique

et al. 2023

Front. Microbiol.

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IntroductionDengue fever (DF) is a mosquito-borne viral disease caused by the dengue virus (DENV). In recent years, Hangzhou has undergone a DF epidemic, particularly in 2017, with an outbreak of 1,128 patients. The study aimed to investigate the genetic diversity and molecular evolution among the DF clinical isolates during and after the outbreak to aid in mapping its spread.MethodsTo understand the genetic diversity, 74 DENV-2 strains were isolated from DF epidemic cases between 2017 and 2019. Combining whole genome sequencing (WGS) technology, additional phylogenetic, haplotype, amino acid (AA) substitution, and recombination analyses were performed.ResultsThe results revealed that strains from 2017 were closely related to those from Singapore, Malaysia, and Thailand, indicating an imported international transmission. Local strains from 2018 were clustered with those recovered from 2019 and were closely associated with Guangzhou isolates, suggesting a within-country transmission after the significant outbreak in 2017. Compared to DENV-2 virus P14337 (Thailand/0168/1979), a total of 20 AA substitutions were detected. Notably, V431I, T2881I, and K3291T mutations only occurred in indigenous cases from 2017, and A1402T, V1457I, Q2777E, R3189K, and Q3310R mutations were exclusively found in imported cases from 2018 to 2019. The recombination analysis indicated that a total of 14 recombination events were observed.ConclusionThis study may improve our understanding of DENV transmission in Hangzhou and provide further insight into DENV-2 transmission and the local vaccine choice.

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Infant food production environments: A potential reservoir for vancomycin-resistant enterococci non-nosocomial infections

Cited by 9 publications

References 60 publications

Salmonellosis outbreak archive in China: data collection and assembly

Salmonellosis outbreak archive in China: data collection and assembly

Microbiome and metabolome analyses of milk and feces from dairy cows with healthy, subclinical, and clinical mastitis

Genomic characterization of dengue virus serotype 2 during dengue outbreak and endemics in Hangzhou, Zhejiang (2017–2019)

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