Outbreak of Salmonella enterica Goldcoast infection associated with whelk consumption, England, June to October 2013

Unravelling the potential of magnetic nanoparticles: a comprehensive review of design and applications in analytical chemistry

The study of nanoparticles has emerged as a prominent research field, offering a wide range of applications across various disciplines. With their unique physical and chemical properties within the size range of 1-100 nm, nanoparticles have garnered significant attention. Among them, magnetic nanoparticles (MNPs) exemplify promising super-magnetic characteristics, especially in the 10-20 nm size range, making them ideal for swift responses to applied magnetic fields. In this comprehensive review, we focus on MNPs suitable for analytical purposes. We investigate and classify them based on their analytical applications, synthesis routes, and overall utility, providing a detailed literature summary. By exploring a diverse range of MNPs, this review offers valuable insights into their potential application in various analytical scenarios.

Genomic investigation and nationwide tracking of pediatric invasive nontyphoidal Salmonella in China

Invasive nontyphoidal Salmonella (iNTS) causes significant concern with ~15% morbidity, affecting populations mainly in African countries. However, iNTS infections among the Chinese pediatric population remain largely unknown. Here, we conducted a genomic investigation to study pediatric iNTS infections in a Chinese hospital. iNTS isolates accounted for 15.2% (18/119) of all nontyphoidal Salmonella (NTS) strains. Compared to non-iNTS isolates, iNTS isolates harbored a lower prevalence of antimicrobial-resistant genes of fluoroquinolones and β-lactams, as well as disinfectant determinants and plasmids, but carried a significantly higher prevalence of cdtB, faeCDE, and tcpC genes. Importantly, we detected an emerging serovar Goldcoast as the predominant iNTS serovar locally. By integrating 320 global Goldcoast genomes based on the One Health samplings, we conducted nationwide phylogenomic tracking and detected repeated human-to-human transmission events among iNTS cases caused by an underestimated serovar Goldcoast. Together, our exploratory genomic approach highlights a new trend in pediatric iNTS infections.

Monitoring the long-term spatiotemporal transmission dynamics and ecological surveillance of multidrug-resistant Salmonella enterica serovar Goldcoast: A multicenter genomic epidemiology study

The emergence of multidrug-resistant Salmonella enterica serovar Goldcoast poses a significant threat to the effective treatment and control of salmonellosis within the ecological environment. Here, we conducted a genomic epidemiological study delineate the global dissemination scenarios of the multidrug-resistant S. Goldcoast originated from 11 countries for over 20 years. The population structure and evolutionary history of multidrug-resistant S. Goldcoast was investigated through phylogenomic and long-term spatiotemporal transmission dynamic analysis. ST358 and ST2529 are the predominant lineages of S. Goldcoast. Multidrug-resistant S. Goldcoast strains have mainly been identified in the ST358 lineage from human and the ST2529 lineage from livestock. ST358 S. Goldcoast was estimated to have emerged in the United Kingdom in 1969, and then spread to China, with both countries serve as centers for the global dissemination of the ST358 lineage. After its emergence and subsequent spread in Chinese clinical and environmental samples, occasional instances of this lineage have been reported in Canada, the United Kingdom, and Ireland. Clonal transmission of ST358 and ST2529 S. Goldcoast have occurred not only on an international and intercontinental scale but also among clinical, environmental and livestock samples. These data indicated that international circulation and local transmission of S. Goldcoast have occurred for over a decade. Continued surveillance of multidrug-resistant S. Goldcoast from a global "One Health" perspective is urgently needed to facilitate monitoring the spread of the antimicrobial resistant high-risk clones.

Identification of IncA Plasmid, Harboring blaVIM-1 Gene, in S. enterica Goldcoast ST358 and C. freundii ST62 Isolated in a Hospitalized Patient

In the present study, we analyzed the genome of two S. enterica strains TS1 and TS2 from stool and blood cultures, respectively, and one strain of C. freundii TS3, isolated from a single hospitalized patient with acute myeloid leukemia. The S. enterica Goldcoast ST358 (O:8 (C2-C3) serogroup), sequenced by the MiSeq Illumina system, showed the presence of β-lactamase genes (blaVIM-1, blaSHV-12 and blaOXA-10), aadA1, ant(2″)-Ia, aac(6')-Iaa, aac(6')-Ib3, aac(6')-Ib-cr, qnrVC6, parC(T57S), and several incompatibility plasmids. A wide variety of insertion sequences (ISs) and transposon elements were identified. In C. freundii TS3, these were the blaVIM-1, blaCMY-150, and blaSHV-12, aadA1, aac(6')-Ib3, aac(6')-Ib-cr, mph(A), sul1, dfrA14, ARR-2, qnrVC6, and qnrB38. IncA plasmid isolated from E.coli/K12 transconjugant and C. freundii exhibited a sequence identity >99.9%. The transfer of IncA plasmid was evaluated by conjugation experiments.

Advances in the study of liver microsomes in the in vitro metabolism and toxicity evaluation of foodborne contaminants

Foodborne contaminants are closely related to anthropologic activities and represent an important food safety hazard. The study of metabolic transformation and toxic side effects of foodborne contaminants in the body is important for their safety assessment. Liver microsomes contain a variety of enzymes related to substance metabolism and biotransformation. An in vitro model simulating liver metabolic transformation is associated with a significant advantage in the study of the metabolic transformation mechanisms of contaminants. This review summarizes the recent progress in the application of liver microsomes in metabolic transformation and toxicity evaluation of various foodborne pollutants based on metabolic kinetics, molecular docking and enzyme inhibition studies. The purpose of this review is to distinguish the existing studies involving liver microsomes and provide strategies for their application in the future. Finally, the prospects and challenges of the liver microsomal model are discussed.

Prevalence, Serotypes, and Antimicrobial Resistance Patterns of Non-Typhoid Salmonella in Food in Northern Taiwan

Salmonella is one of the most common bacteria causing food poisoning worldwide. We evaluated the prevalence, the serotypes, and the antimicrobial resistance (AMR) of Salmonella isolates from many kinds of food, particularly pork and chicken in retail, in Taiwan between January 2017 and December 2019. The E-test was used to assess antimicrobial susceptibility and a polymerase chain reaction was performed for serotyping. A total of 459 different foods were investigated, and 117 Salmonella strains were isolated. Retail pork and chicken were the most common Salmonella-contaminated foods (64.1% and 29.1%, respectively). Of the 117 isolates, 23 serotypes were identified. The serotypes Derby (16.2%), Anatum (13.7%), and Agona (8.5%) were the most prevalent. The resistance rates to ciprofloxacin, ceftriaxone, and carbapenem were 41.9%, 11.1%, and 1.7%, respectively. The Derby and Anatum serotypes were prevalent in chicken and pork; the Anatum serotype had significantly higher ciprofloxacin and ceftriaxone resistance rates and was highly prevalent in 2017 and 2018. Multi-locus sequence typing analysis revealed that the 58 randomly chosen Salmonella isolates belonged to 18 sequence types (STs). ST64 (Anatum, 16 out of 58, 27.6%) was the most common, followed by ST321 (Muenster, 6/58, 10.3%), ST831 (Give, 5/58, 8.6%), ST155 (London, 4/58, 6.9%) and ST314 (Kentucky, 4/58, 6.9%). Multidrug-resistant Salmonella strains were remarkably observed in the serotypes Anatum (ST64) and Goldcoast (ST358). This study revealed that retail pork was commonly contaminated with antimicrobial-resistant Salmonella. Thus, periodic investigations of Salmonella serotypes and AMR are needed.

Genomic characterization of a multidrug-resistant Salmonella enterica serovar Goldcoast sequence type 358 strain in China

OBJECTIVES

Salmonella enterica serovar Goldcoast has been identified as the agent responsible for multistate epidemic outbreaks in humans. However, knowledge regarding the antimicrobial resistance and transmission of S. Goldcoast is scarce. This study aimed to investigate the genomic features of a multidrug-resistant S. Goldcoast sequence type 358 strain in China.

METHODS

Antimicrobial susceptibility of S. enterica strain SalGC_ZJ_53 was determined by microdilution broth assay. Whole genomic DNA was extracted and sequenced using the Illumina NovaSeq platform. De novo genome assembly was performed using Unicycler and the draft genome was annotated using the NCBI Prokaryotic Genome Annotation Pipeline. The sequence type (ST), antimicrobial resistance genes and Salmonella pathogenicity islands were identified from the genome sequence. The core genome multilocus sequence typing (cgMLST) analysis between S. enterica SalGC_ZJ_53 and all of the S. Goldcoast strains retrieved from the public database was performed using BacWGSTdb server.

RESULTS

Salmonella enterica SalGC_ZJ_53 was resistant to ampicillin, amikacin, cefotetan, cefazolin, ciprofloxacin, gentamicin and tetracycline. The genome size was calculated as 4,904,788 bp, with 4595 protein-coding sequences and GC content of 52.0%. This isolate was assigned to ST358. Several antimicrobial resistance genes and salmonella pathogenicity islands, as well as multiple insertion sequences were identified. The closest relative of S. enterica SalGC_ZJ_53 was another isolate recovered from the UK, differing by only six cgMLST loci.

CONCLUSIONS

This study reports the first genome sequence of a multidrug-resistant S. Goldcoast isolate in China. These data may help to understand the antimicrobial resistance mechanisms and transmission dynamics of this rare serovar of Salmonella infection in humans.

Are food exposures obtained through commercial market panels representative of the general population? Implications for outbreak investigations

Current methods of control recruitment for case-control studies can be slow (a particular issue for outbreak investigations), resource-intensive and subject to a range of biases. Commercial market panels are a potential source of rapidly recruited controls. Our study evaluated food exposure data from these panel controls, compared with an established reference dataset. Market panel data were collected from two companies using retrospective internet-based surveys; these were compared with reference data from the National Diet and Nutrition Survey (NDNS). We used logistic regression to calculate adjusted odds ratios to compare exposure to each of the 71 food items between the market panel and NDNS participants. We compared 2103 panel controls with 2696 reference participants. Adjusted for socio-demographic factors, exposure to 90% of foods was statistically different between both panels and the reference data. However, these differences were likely to be of limited practical importance for 89% of Panel A foods and 79% of Panel B foods. Market panel food exposures were comparable with reference data for common food exposures but more likely to be different for uncommon exposures. This approach should be considered for outbreak investigation, in conjunction with other considerations such as population at risk, timeliness of response and study resources.

Emergence and Evolution of High-Level Cephalosporin-Resistant Salmonella Goldcoast in Northern Taiwan

Background

Nontyphoidal Salmonella (NTS) is an important foodborne pathogen worldwide. We investigated a 2018 outbreak of highly antimicrobial-resistant Salmonella enterica serotype Goldcoast in northern Taiwan.

Methods

We collected 30 clinical isolates and 2 meat isolates from this outbreak in New Taipei and Taoyuan, Taiwan in 2018. The clinical manifestations and the treatment of the patients were reviewed. To trace the source, we examined NTS isolated from food samples collected from the markets in northern Taiwan. All of the isolates along with an additional human isolate from China were sequenced and compared with the sequences of Salmonella Goldcoast reported by other countries.

Results

The outbreak involved 14 pediatric patients (<5 years old) and 16 adults (36 to 83 years old). Nine patients with invasive or severe disease required carbapenem treatment. The MIC₉₀ of ceftriaxone and ciprofloxacin for the outbreak isolates was >256 μg/mL and 1 μg/mL, respectively, and a conjugative 278-kilobase plasmid harboring bla_CTX-M-55 and qnrS1 contributed towards the resistance. Whole-genome sequencing revealed a clonal relationship among the outbreak isolates and the 2 collected from the retail meats. The outbreak clone was phylogenetically close to that of Salmonella Goldcoast reported in the United Kingdom, Poland, and China, whereas similar resistance plasmids were found in China and Cambodia.

Conclusions

The clinical spectrum of the high-level cephalosporin-resistant Salmonella Goldcoast is similar to that of other NTS serotypes, but severe cases required carbapenem treatment. The study confirmed the emergence of a highly antimicrobial-resistant clone of Salmonella Goldcoast, highlighting the importance of surveillance for food safety.

Emergence of Multidrug-Resistant Salmonella enterica Serovar Goldcoast Strains in Taiwan and International Spread of the ST358 Clone

Salmonella enterica serovar Goldcoast infection was rare in Taiwan; it was not detected in routine surveillance from 2004 to 2013. This serovar was first identified in 2014, but the frequency of infection remained low until 2017. From 2014 to 2016, all but one isolate was pan-susceptible. S Goldcoast infections abruptly increased in 2018, and all isolates were multidrug-resistant (MDR). All MDR isolates harbored an IncHI2 plasmid, and the majority carried 14 antimicrobial resistance genes, aac(3)-IId, aadA22, aph(3')-Ia, aph(6)-Id, blaTEM-1B, blaCTX-M-55, lnu(F), floR, qnrS13, arr-2, sul2, sul3, tet(A), and dfrA14. S Goldcoast strains recovered in Taiwan and 96 of 99 strains from Germany, the Netherlands, the United Kingdom, and the United States belonged to sequence type 358 (ST358). Whole-genome single-nucleotide polymorphism and core genome multilocus sequence type analyses revealed that all strains of the ST358 clone shared a high degree of genetic relatedness. The present study highlighted that a dramatic increase in S Goldcoast infections followed the emergence of MDR strains and indicated that a genetically closely related S Goldcoast ST358 clone may have widespread significance internationally.

Multinational outbreak of travel-related Salmonella Chester infections in Europe, summers 2014 and 2015

Between 2014 and 2015, the European Centre for Disease Prevention and Control was informed of an increase in numbers of Salmonella enterica serotype Chester cases with travel to Morocco occurring in six European countries. Epidemiological and microbiological investigations were conducted. In addition to gathering information on the characteristics of cases from the different countries in 2014, the epidemiological investigation comprised a matched case-case study involving French patients with salmonellosis who travelled to Morocco that year. A univariate conditional logistic regression was performed to quantify associations. The microbiological study included a whole genome sequencing (WGS) analysis of clinical and non-human isolates of S. Chester of varied place and year of isolation. A total of 162 cases, mostly from France, followed by Belgium, the Netherlands, Spain, Denmark and Sweden were reported, including 86 (53%) women. The median age per country ranged from 3 to 38 years. Cases of S. Chester were more likely to have eaten in a restaurant and visited the coast of Morocco. The results of WGS showed five multilocus sequence types (ST), with 96 of 153 isolates analysed clustering into a tight group that corresponded to a novel ST, ST1954. Of these 96 isolates, 46 (48%) were derived from food or patients returning from Morocco and carried two types of plasmids containing either qnrS1 or qnrB19 genes. This European-wide outbreak associated with travel to Morocco was likely a multi-source outbreak with several food vehicles contaminated by multidrug-resistant S. Chester strains.

A large Great Britain-wide outbreak of STEC O157 phage type 8 linked to handling of raw leeks and potatoes

Between December 2010 and July 2011, 252 cases of STEC O157 PT8 stx1 + 2 infection were reported in England, Scotland and Wales. This was the largest outbreak of STEC reported in England and the second largest in the UK to date. Eighty cases were hospitalized, with two cases of haemolytic uraemic syndrome and one death reported. Routine investigative data were used to generate a hypothesis but the subsequent case-control study was inconclusive. A second, more detailed, hypothesis generation exercise identified consumption or handling of vegetables as a potential mode of transmission. A second case-control study demonstrated that cases were more likely than controls to live in households whose members handled or prepared leeks bought unwrapped [odds ratio (OR) 40, 95% confidence interval (CI) 2·08-769·4], and potatoes bought in sacks (OR 13·13, 95% CI 1·19-145·3). This appears to be the first outbreak of STEC O157 infection linked to the handling of leeks.

Control selection methods in recent case-control studies conducted as part of infectious disease outbreaks

Successful investigation of national outbreaks of communicable disease relies on rapid identification of the source. Case-control methodologies are commonly used to achieve this. We assessed control selection methods used in recently published case-control studies for methodological and resource issues to determine if a standard approach could be identified. Neighbourhood controls were the most frequently used method in 53 studies of a range of different sizes, infections and settings. The most commonly used method of data collection was face to face interview. Control selection issues were identified in four areas: method of identification of controls, appropriateness of controls, ease of recruitment of controls, and resource requirements. Potential biases arising from the method of control selection were identified in half of the studies assessed. There is a need to develop new ways of selecting controls in a rapid, random and representative manner to improve the accuracy and timeliness of epidemiological investigations and maximise the effectiveness of public health interventions. Innovative methods such as prior recruitment of controls could improve timeliness and representativeness of control selection.