Occurrence of Pathogenic and Potentially Pathogenic Bacteria in Microgreens, Sprouts, and Sprouted Seeds on Retail Market in Riga, Latvia.

Microgreens and sprouts have been used for raw consumption for a long time and are generally viewed as a healthy food. However, several serious outbreaks of foodborne illness have been recorded in European countries, Japan, and North America. Many companies in Latvia nowadays are producing this type of products. The aim of this study was to characterize the incidence of Shiga toxin-producing Escherichia coli (STEC), Salmonella spp., and Listeria spp. in microgreens, sprouts, and seeds intended for domestic production of microgreens on retail market in Riga, Latvia, from January to April 2019. The background microflora was identified as well. A total of 45 samples were purchased, including fresh and processed sprouts, microgreens, baby greens, as well as seeds intended for domestic production of microgreens and sprouts. The samples were processed according to the methods set by the International Organization for Standardization (ISO)-ISO/TS 13136:2012 for STEC, ISO 6579-1:2017 for Salmonella spp., and ISO 11290-1:2017 for Listeria spp. Molecular detection of Salmonella spp. was also performed using real-time polymerase chain reaction. The typical and atypical colonies isolated from selective plates were identified with matrix-assisted laser desorption and ionization time-of-flight mass spectrometry. Listeria monocytogenes was not detected in any of the tested samples. However, the presence of Listeria innocua was detected in two (4.4%) of the samples. Three (6.7%) samples of dried sprouts were positive for the STEC virulence genes. Salmonella spp. was detected in one (2.2%) sample of common sunflower seeds. Altogether, 46 different background bacterial species were identified. The majority were environmental bacteria characteristic to soil, water, and plants, including coliform bacteria. The results provide evidence that microgreens and seeds available for Latvian consumers are generally safe, however, attention has to be paid to dried sprouts.

Campylobacter species prevalence, characterisation of antimicrobial resistance and analysis of whole-genome sequence of isolates from livestock and humans, Latvia, 2008 to 2016.

BackgroundCampylobacter is the main cause of bacterial gastroenteritis worldwide. The main transmission route is through consumption of food contaminated with Campylobacter species or contact with infected animals. In Latvia, the prevalence of campylobacteriosis is reported to be low (4.6 cases per 100,000 population in 2016).AimTo determine prevalence, species spectrum and antimicrobial resistance (AMR) of Campylobacter spp. in Latvia, using data from various livestock and human clinical samples.MethodsWe analysed data of Campylobacter microbiological monitoring and AMR (2008 and 2014-16) in Latvia. Data from broilers, poultry, pigs, calves and humans were used to determine prevalence of Campylobacter. Additionally, 45 different origin isolates (22 human) were sequenced on the Illumina MiSeq platform; for each isolate core genome multilocus sequence typing was used and relevant antimicrobial resistance mechanisms were identified.ResultsOverall, Campylobacter prevalence in was 83.3% in pigs, 50.2% in broilers, 16.1% in calves and 5.3% in humans; C. jejuni was the predominant species in all sources except pigs where C. coli was main species. High level of resistance in Campylobacter were observed against fluoroquinolones, tetracycline and streptomycin, in most of sequenced isolates genetic determinants of relevant AMR profiles were identified.ConclusionsIn Latvia, prevalence of Campylobacter in livestock is high, especially in pigs and broilers; prevalence in poultry and humans were lower than in other European countries. AMR analysis reveals increase of streptomycin and tetracycline resistant broiler origin C. jejuni strains. WGS demonstrates a high compliance between resistance phenotype and genotype for quinolones and tetracyclines.

Tumor-associated autoantibody signature for the early detection of gastric cancer.

Autoantibodies against tumor-associated antigens are very attractive biomarkers for the development of noninvasive serological tests for the early detection of cancer because of their specificity and stability in the sera. In our study, we applied T7 phage display-based serological analysis of recombinant cDNA expression libraries technique to identify a representative set of antigens eliciting humoral responses in patients with gastric cancer (GC), produced phage-antigen microarrays and exploited them for the survey of autoantibody repertoire in patients with GC and inflammatory diseases. We developed procedures for data normalization and cutoff determination to define sero-positive signals and ranked them by the signal intensity and frequency of reactivity. To identify autoantibodies with the highest diagnostic value, a 1,150-feature microarray was tested with sera from 100 patients with GC and 100 cancer-free controls, and then the top-ranked 86 antigens were used for the production of focused array that was tested with an independent validation set comprising serum samples from 235 patients with GC, 154 patients with peptic ulcer and gastritis and 213 healthy controls. The receiver operating characteristic curve analysis showed that 45-autoantibody signature could discriminate GC and healthy controls with area under the curve (AUC) of 0.79 (59% sensitivity and 90% specificity), GC and peptic ulcer with AUC of 0.76 and GC and gastritis with AUC of 0.64. Moreover, it could detect early GC with equal sensitivity than advanced GC. Interestingly, the autoantibody production did not correlate with histological type, H. pylori status, grade, localization and size of the primary tumor, whereas it appeared to be associated with the metastatic disease.

Genetic diversity and known virulence genes in Listeria innocua strains isolated from cattle abortions and farm environment.

Listeria innocua is considered as non-pathogenic bacteria living in an environment although several cases of immunocompromised humans and ruminant listeriosis infections have been reported. Previously, L. innocua was identified as a potential pathogen and virulence in association with L. monocytogenes PrfA dependent virulence (LIPI-1) gene cluster was demonstrated in hemolytic L. innocua. L. innocua usually considered non-pathogenic versus pathogenic L. monocytogenes and L. ivanovii because of the main virulence gene loss. There are limited studies and reports available about L. innocua-caused illness in cattle. A total of 18 STs were identified in cattle abortions while 17 STs in the farm environment with majority of STs were present in both abortions and environmental samples. Genome sequencing showed that in one farm identical L. innocua clones were represented in water, feed, soil, and faeces sample groups, suggesting that animals most likely through the faecal shedding may remain as the main source of L. innocua in a farm environment. Out of all L. innocua isolates PrfA-dependent virulence genes were not found in aborted foetuses isolates and environmental L. innocua isolate groups; however, in 20% of isolates a complete LIPI-3 pathogenicity island encoding listeriolysin S was identified. In this study, we demonstrated that genetically diverse L. innocua clones were widely distributed in cattle farm environment and certain isolates had a significant pathogenicity potential for cattle, thus causing adverse health effects, including abortions.

Prevalence, virulence determinants, and genetic diversity in Yersinia enterocolitica isolated from slaughtered pigs and pig carcasses.

Yersinia enterocolitica is an important zoonotic foodborne pathogen that could be transferred from infected pigs to their carcasses at slaughter, with subsequent introduction of the pathogen into the food chain. The aim of the present study was to study the prevalence, virulence characteristics, and genetic diversity of Y. enterocolitica isolates present in slaughtered pig tonsils and carcasses by using the WGS approach. A total of 200 slaughtered pig tonsils from 11 pig farms were collected in 2020-2021 at six slaughterhouses located in Latvia. Out of these samples, n = 190 were obtained from slaughtered pigs raised on Latvian farms while n = 10 were of Lithuanian origin, with the number of farms sampled being 10 and 1, respectively. Additionally, 30 pig carcasses were sampled at five slaughterhouses from pigs originating from five farms in 2021. Samples were investigated microbiologically, Y. enterocolitica isolates were biotyped and serotyped. Y. enterocolitica 4/O:3 was screened for antimicrobial resistance with the EUVSEC test panels. Whole genome sequence analysis (WGS) was performed in order to detect virulence genes and to assess the genetic diversity of Y. enterocolitica isolates. A total of 139 isolates, including one to three isolates from 84 Y. enterocolitica positive slaughtered pig tonsils and 13 pig carcass samples, were subjected to WGS analysis. The prevalence of Y. enterocolitica 4/O:3 in slaughtered pig tonsils and carcasses was 35% (70/200) and 13% (4/30), respectively. Antimicrobial resistance to ampicillin and tetracycline was detected in 97% (72/74) and 1% (1/74) of Y. enterocolitica 4/O:3 isolates. Y. enterocolitica 4/O:3 was represented only by ST18, while Y. enterocolitica 1A by ST3, ST147, ST304, ST307, and ST473. The ST18 isolates harbored the same main chromosomal (ail, inv, myfA, ystA) and majority shared plasmid-borne virulence genes (virF, yadA, yop virulon). The main virulence genes were not identified within the STs of Y. enterocolitica 1A and only minor differences were found between ST3, ST147, ST304, ST307, and ST473. Among ST18 isolates, cgMLST analysis revealed 43 cgMLST genotypes while 16 cgMLST genotypes were found among Y. enterocolitica 1A STs. The present study has shown the distribution of genetically distant cgMLST genotypes in slaughtered pigs from pig farms located in different geographical regions of Latvia, with one to 11 cgMLSTs identified within each sampled farm. The presence of undistinguishable cgMLST genotypes in slaughtered pig tonsils and the respective carcasses supported the link between the slaughter of Y. enterocolitica - positive pigs and carcass contamination with Y. enterocolitica 4/O:3.

Virulence Determinants and Genetic Diversity of Yersinia Species Isolated from Retail Meat.

Yersinia enterocolitica is an important foodborne pathogen, and the determination of its virulence factors and genetic diversity within the food chain could help understand the epidemiology of yersiniosis. The aim of the present study was to detect the prevalence, and characterize the virulence determinants and genetic diversity, of Yersinia species isolated from meat. A total of 330 samples of retailed beef (n = 150) and pork (n = 180) in Latvia were investigated with culture and molecular methods. Whole genome sequencing (WGS) was applied for the detection of virulence and genetic diversity. The antimicrobial resistance of pathogenic Y. enterocolitica isolates was detected in accordance with EUCAST. Yersinia species were isolated from 24% (79/330) of meats, and the prevalence of Y. enterocolitica in pork (24%, 44/180) was significantly higher (p < 0.05) than in beef (13%, 19/150). Y. enterocolitica pathogenic bioserovars 2/O:9 and 4/O:3 were isolated from pork samples (3%, 6/180). Only resistance to ampicillin was confirmed in Y. enterocolitica 4/O:3 and 2/O:9 isolates, but not in other antimicrobials. Major virulence determinants, including ail, inv, virF, ystA and myfA, were confirmed with WGS in Y. enterocolitica 2/O:9 and 4/O:3. MLST typing revealed 15 STs (sequence types) of Y. enterocolitica with ST12 and ST18, which were associated with pathogenic bioserovars. For Y. enterocolitica 1A, Y. kristensenii, Y. intermedia and Y. frederiksenii, novel STs were registered (ST680-688). The presence of virulence genes and genetic characteristics of certain Y. enterocolitica STs confirm the common knowledge that pork could be an important source of pathogenic Yersinia.

Characterization and Genetic Diversity of Listeria monocytogenes Isolated from Cattle Abortions in Latvia, 2013-2018.

Listeria monocytogenes can cause disease in humans and in a wide range of animal species, especially in farm ruminants. The aim of the study was to determine the prevalence and genetic diversity of L. monocytogenes related to 1185 cattle abortion cases in Latvia during 2013-2018. The prevalence of L. monocytogenes among cattle abortions was 16.1% (191/1185). The seasonality of L. monocytogenes abortions was observed with significantly higher occurrence (p < 0.01) in spring (March-May). In 61.0% of the cases, the affected cattle were under four years of age. L. monocytogenes abortions were observed during the third (64.6%) and second (33.3%) trimesters of gestation. Overall, 27 different sequence types (ST) were detected, and four of them, ST29 (clonal complex, CC29), ST37 (CC37), ST451 (CC11) and ST7 (CC7), covered more than half of the L. monocytogenes isolates. Key virulence factors like the prfA-dependent virulence cluster and inlA, inlB were observed in all the analyzed isolates, but lntA, inlF, inlJ, vip were associated with individual sequence types. Our results confirmed that L. monocytogenes is the most important causative agent of cattle abortions in Latvia and more than 20 different STs were observed in L. monocytogenes abortions in cattle.

Prevalence, Genetic Diversity and Factors Associated with Distribution of Listeria monocytogenes and Other Listeria spp. in Cattle Farms in Latvia.

Listeria spp. is a diverse genus of Gram-positive bacteria commonly present in the environment while L. monocytogenes and L. ivanovii are well known human and ruminant pathogens. The aim of the present study was to reveal the prevalence and genetic diversity of L. monocytogenes and other Listeria spp. and to identify the factors related to the abundance of pathogen at cattle farms. A total of 521 animal and environmental samples from 27 meat and dairy cattle farms were investigated and the genetic diversity of L. monocytogenes isolates was studied with WGS. The prevalence of Listeria was 58.9%, while of L. monocytogenes it was -11%. The highest prevalence of L. monocytogenes was found in the environment-soil samples near to manure storage (93%), mixed feed from the feeding trough and hay (29%), water samples from farms drinking trough (28%) and cattle feces (28%). Clonal complexes (CC) of CC37 (30%), CC11 (20%) and CC18 (17%) (all IIa serogroup) were predominant L. monocytogenes clones. CC18, CC37 and CC8 were isolated from case farms and CC37, CC11 and CC18 from farms without listeriosis history. Only one hypervirulent CC4 (1%) was isolated from the case farm. Sequence types (STs) were not associated with the isolation source, except for ST7, which was significantly associated with soil (p < 0.05). The contamination of soil, feeding tables and troughs with L. monocytogenes was associated with an increased prevalence of L. monocytogenes at farms. Our study indicates the importance of hygienic practice in the prevention of the dissemination of L. monocytogenes in the cattle farm environment.

Machine Learning Approaches for Epidemiological Investigations of Food-Borne Disease Outbreaks.

Foodborne diseases (FBDs) are infections of the gastrointestinal tract caused by foodborne pathogens (FBPs) such as bacteria [Salmonella, Listeria monocytogenes and Shiga toxin-producing E. coli (STEC)] and several viruses, but also parasites and some fungi. Artificial intelligence (AI) and its sub-discipline machine learning (ML) are re-emerging and gaining an ever increasing popularity in the scientific community and industry, and could lead to actionable knowledge in diverse ranges of sectors including epidemiological investigations of FBD outbreaks and antimicrobial resistance (AMR). As genotyping using whole-genome sequencing (WGS) is becoming more accessible and affordable, it is increasingly used as a routine tool for the detection of pathogens, and has the potential to differentiate between outbreak strains that are closely related, identify virulence/resistance genes and provide improved understanding of transmission events within hours to days. In most cases, the computational pipeline of WGS data analysis can be divided into four (though, not necessarily consecutive) major steps: de novo genome assembly, genome characterization, comparative genomics, and inference of phylogeny or phylogenomics. In each step, ML could be used to increase the speed and potentially the accuracy (provided increasing amounts of high-quality input data) of identification of the source of ongoing outbreaks, leading to more efficient treatment and prevention of additional cases. In this review, we explore whether ML or any other form of AI algorithms have already been proposed for the respective tasks and compare those with mechanistic model-based approaches.

Evaluation of T7 and lambda phage display systems for survey of autoantibody profiles in cancer patients.

In the current study we attempted to evaluate the suitability of T7 Select 10-3b and lambdaKM8 phage display systems for the identification of antigens eliciting B cell responses in cancer patients and the production of phage-displayed antigen microarrays that could be exploited for the monitoring of autoantibody profiles. Members of 15 tumour-associated antigen (TAA) families were cloned into both phage display vectors and the TAA mini-libraries were immunoscreened with 22 melanoma patients' sera resulting in the detection of reactivity against members of 5 antigen families in both systems, yet with variable sensitivity. T7 phage display system showed greater sensitivity for the detection of antibodies against members of CTAG, MAGEA and GAGE families, both systems showed equal performance in detecting the reactivity against MAGEC and SSX2 while only lambdaKM8 allowed the detection of anti-CTAGE5 antibodies. The biological properties of both phages turned out to be equally suitable for the production of antigen microarrays however in line with the plaque assay the sensitivity for the detection of various autoantibodies differed between the vectors. However, presumably due to the higher variability of the background signals in the microarray assay, it turned out to have comparable, in some cases even slightly lower sensitivity than the plaque assay. Next, we explored the repertoire of antigens that could be identified by screening T7 phage-displayed testis cDNA library with sera from melanoma patients. From the 243 antigens identified, only 24 represented known genes translated in their natural reading frame and included known TAAs like Annexin XI-A and a novel potential CT antigen SPAG8. Another 12 were uncharacterised genes but the remaining clones contained DNA fragments in non-natural reading frames that most likely represent mimotopes, nevertheless, they may turn out to be valid biomarkers.

The Prevalence of Cancer-Associated Autoantibodies in Patients with Gastric Cancer and Progressive Grades of Premalignant Lesions.

Background: Serum autoantibodies against tumor-associated antigens (TAAs) are detectable in early-stage gastric cancer patients; however, the time point during cancerogenesis when they appear in circulation is still obscure.Methods: In this study, we developed a recombinant antigen microarray and analyzed the prevalence of autoantibodies against 102 TAAs in 829 gastric cancer patients and 929 healthy controls from Caucasian and Asian populations, as well as 100 patients with chronic atrophic gastritis and 775 individuals staged according to different grades of intestinal metaplasia.Results: Six antigens, including CTAG1B/CTAG2, DDX53, IGF2BP2, TP53, and MAGEA3, were predominantly reacting with sera from gastric cancer patients when compared with healthy controls, and the seroreactivity was associated with intestinal-type gastric cancer, but not with patients' Helicobacter pylori status, grade, age, gender, or stage of gastric cancer. We detected gastric cancer-associated seroreactivity in 13% of patients with advanced/severe intestinal metaplasia, which was increased in comparison with mild/moderate intestinal metaplasia (5.3%) and was comparable with that seen in early-stage gastric cancer patients (12%). Moreover, by testing serum samples taken 1 to 9 years before the clinical diagnosis of 18 incident gastric cancer cases, we detected autoantibody responses against several TAAs-SOX2, MYC, BIRC5, IGF2BP1, and MUC1.Conclusions: Our results suggest that humoral immune response against TAAs is generated already during premalignant stages.Impact: Based on the obtained results, cancer-associated autoantibodies might make a valuable contribution to the stratification of high-risk patients with premalignant lesions in the stomach through enhancing the positive predictive power of existing risk models. Cancer Epidemiol Biomarkers Prev; 26(10); 1564-74. ©2017 AACR.

Emerging blood-based biomarkers for detection of gastric cancer.

Early detection and efficient monitoring of tumor dynamics are prerequisites for reducing disease burden and mortality, and for improving the management of patients with gastric cancer (GC). Blood-based biomarker assays for the detection of early-stage GC could be of great relevance both for population-wide or risk group-based screening programs, while circulating biomarkers that reflect the genetic make-up and dynamics of the tumor would allow monitoring of treatment efficacy, predict recurrences and assess the genetic heterogeneity of the tumor. Recent research to identify blood-based biomarkers of GC has resulted in the identification of a wide variety of cancer-associated molecules, including various proteins, autoantibodies against tumor associated antigens, cell-free DNA fragments, mRNAs and various non-coding RNAs, circulating tumor cells and cancer-derived extracellular vesicles. Each type of these biomarkers provides different information on the disease status, has different advantages and disadvantages, and distinct clinical usefulness. In the current review, we summarize the recent developments in blood-based GC biomarker discovery, discuss the origin of various types of biomarkers and their clinical usefulness and the technological challenges in the development of biomarker assays for clinical use.

Sperm-associated antigens as targets for cancer immunotherapy: expression pattern and humoral immune response in cancer patients.

The identification of novel cancer-related and immunogenic proteins is still a challenge to be faced to improve antigen-specific tumor immunotherapy. The category of so-called cancer-testis (CT) antigens is one of the most perspective groups of proteins for anticancer immune response activation as normally they are expressed in immunoprivileged tissues and are immunogenic if aberrantly generated in tumors. The heterogeneous group of proteins called sperm-associated antigens (SPAG) might encompass novel CT antigens owing to their common expression in male germ cells, their ability to elicit immune response underlying infertility, and lately proposed oncogenic properties. We carried out a comprehensive analysis of the expression pattern in various normal and cancerous tissues and assessed the frequency of spontaneous humoral immune response against members of the SPAG group in cancer patients using phage-displayed antigen microarrays. Our results show that out of 15 analyzed SPAG genes only SPAG1, SPAG6, SPAG8, SPAG15, and SPAG17 are predominantly expressed in testis, whereas the others are ubiquitously expressed with only a testis-associated alternative splice variant of SPAG16. mRNA expression of SPAG1, SPAG6, and alternative splice variants of SPAG8, SPAG16, and SPAG17 was elevated in various tumors with frequencies ranging from approximately 10% to 70%. The upregulation of SPAG6 in lung and breast cancer was confirmed by immunohistochemical analysis of tumor and normal tissue microarrays. Cancer-associated spontaneous humoral immune response was detected against SPAG1, SPAG6, SPAG8, and a novel testis-specific splice variant of SPAG17 and ascribe these as novel CT antigens that potentially are applicable as immunotherapeutic targets and serologic biomarkers.