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PERSPECTIVE article

Front. Microbiol., 06 July 2023
Sec. Food Microbiology
This article is part of the Research Topic From Farm Gate to Food Plate: Current Challenges in Foodborne Microorganism Detection, Epidemiology, and Genetic Diversity View all 8 articles

Campylobacter fetus foodborne illness outbreak in the elderly

\r\nGaspard Grouteau
Gaspard Grouteau1*Cdric MignonatCédric Mignonat2Bruno MarchouBruno Marchou1Guillaume Martin-Blondel,Guillaume Martin-Blondel3,4Olivier GlassOlivier Glass5Claire Roubaud-Baudron,Claire Roubaud-Baudron6,7Pauline Lansalot-MatrasPauline Lansalot-Matras1Simon AlikSimon Alik1Laurent BalardyLaurent Balardy8Thomas De NadaïThomas De Nadaï8Lucie BnjatLucie Bénéjat9Quentin JehanneQuentin Jehanne9Alain Le CoustumierAlain Le Coustumier10Philippe Lehours,
Philippe Lehours7,9*
  • 1Infectious and Tropical Diseases Department, Centre Hospitalier Tarbes-Lourdes, Lourdes, France
  • 2Rehabilitation Center, L'Arbizon, Bagnères de Bigorre, France
  • 3Infectious and Tropical Diseases Department, CHU de Toulouse, Toulouse, France
  • 4Institut Toulousain des Maladies Infectieuses et Inflammatoires (Infinity) INSERM UMR1291—CNRS UMR5051—Université Toulouse III, Toulouse, France
  • 5Cellule de veille d'alerte et de gestion sanitaire, Agence Régionale de Santé Occitanie, Toulouse, France
  • 6Pôle de Gérontologie Clinique, CHU de Bordeaux, Bordeaux, France
  • 7Bordeaux Institute of Oncology, BRIC U1312, INSERM, Université de Bordeaux, CHU de Bordeaux, Bordeaux, France
  • 8Gerontopole of Toulouse, CHU de Toulouse, Toulouse, France
  • 9National Reference Center for Campylobacters and Helicobacters, Bacteriology Department, CHU de Bordeaux, Bordeaux, France
  • 10Bacteriology Department, Centre Hospitalier Tarbes-Lourdes, Tarbes, France

In June 2021, a cluster of seven cases of Campylobacter fetus infections occurred in a rehabilitation center and caused significant morbidity in elderly patients including five with bacteremia and two with osteoarticular medical device infections. The genetic identity identified by whole genome sequencing of the different Campylobacter fetus strains confirms a common source. This foodborne illness outbreak may have resulted from the consumption of unpasteurized dairy products, such as a cow's raw milk cheese resulting from a farm-to-fork strategy.

Introduction

Campylobacter spp. are small, curved, Gram-negative rods. Campylobacter jejuni and Campylobacter coli are established pathogens in human acute gastroenteritis and cause the majority of intestinal campylobacteriosis, and a small proportion is caused by Campylobacter fetus (C. fetus; Gazaigne et al., 2008; Man, 2011). Extra-digestive manifestations such as bacteremia due to Campylobacter spp. are uncommon, with an incidence of 2.9 per 1 million person-years described in Denmark and affecting mainly subjects older than 80 years (Nielsen et al., 2010). Although C. fetus may occasionally cause diarrhea, it has been more associated with systemic illness and bacteremia with possible extra-digestive localizations including endovascular infections, bone and joint infection, and cellulitis (Gazaigne et al., 2008; Pacanowski et al., 2008; Wagenaar et al., 2014; Tinévez et al., 2022). C. fetus infections are more commonly reported in older and immunocompromised patients (Pacanowski et al., 2008; Wagenaar et al., 2014; Tinévez et al., 2022). In addition, foreign medical device implants also appear to be a risk factor for C. fetus infections, such as prosthetic valve endocarditis, vascular graft infections, and periprosthetic joint infections (Tinévez et al., 2022).

C. fetus has a surface layer (S-layer), a paracrystalline lattice that coats the outer membrane of these bacteria, actually identified as the major virulence factor, explaining its extra-intestinal spread (Man, 2011). The S-layer disrupts C3b binding to these bacteria, explaining both serum and phagocytosis resistance (Man, 2011). C. fetus is an accidental pathogen of humans, the combination of its immune avoidance and the presence of host predispositions can be sufficient to cause infection (Wagenaar et al., 2014).

C. fetus outbreaks are infrequent: six have been potentially linked to contaminated food exposure (Taylor et al., 1979; Itoh et al., 1980; Klein et al., 1986; Rennie et al., 1994; Wagenaar et al., 2014) and two have been linked to possible person-to-person transmission (Morooka and Takeo, 1988; Marchand-Senécal et al., 2017). Food products from cattle and sheep such as raw milk, unpasteurized dairy products, raw liver, and raw meat seem to be the main source of human infection (Wagenaar et al., 2014). Such clusters among the elderly have been reported from 1981 to 1993 and were not completely characterized (Wagenaar et al., 2014).

The present study describes a C. fetus cluster among elderly patients in a rehabilitation center (RC) located in southwestern France. The aim was to describe and investigate this outbreak in order to better understand the transmission and raise awareness of this infectious disease among physicians in charge of at-risk patients such as the elderly or immunocompromised patients. A clinical case description and an epidemiological and microbiological investigation were made to link the cases and try to find a common source of infection.

Methods

A descriptive retrospective study of patients who presented with a C. fetus infection in an RC located in South-West France was conducted in June 2021. Following French legislation, relating to outbreaks of foodborne illness (decree n° 2001-671 of 26 July 2001), the French Institute of Public Health (Agence Régionale de Santé, Occitanie, France) was notified of the occurrence of a cluster of febrile enteritis among hospitalized patients. All patients were informed of this procedure. Data were pseudonymized, the included patients who were still alive did not object to the analysis of their data for research purpose and publication. Furthermore, patients' medical records were reviewed in order to gather information about sociodemographic data, comorbidities, clinical symptoms, secondary localizations, treatment, and outcomes.

Microbiological investigation

All samples of patients showing symptoms (blood culture, stools, and synovial fluid) were sent to the National Reference Center (NRC) for Campylobacter in Bordeaux, France, for strain identification using matrix-assisted laser desorption ionization time-of-flight mass spectrometry and for determining antimicrobial susceptibility to ampicillin, amoxicillin-clavulanate, ciprofloxacin, erythromycin, tetracycline, gentamicin, and imipenem using disk diffusion according to EUCAST guidelines (http://www.eucast.org). Each blood culture set (aerobic and anaerobic bottle) was inoculated with 10 ml of blood, incubated for 5 days, and continually monitored using non-invasive blood culture systems BactecTM, Becton Dickinson. Blood from a positive blood culture bottle and synovial fluid was inoculated in a blood agar plate. Stool samples were inoculated in a Campylobacter-selective media for isolation by culture. All samples were incubated in a microaerobic atmosphere at 35°C for 48 h.

A specific nucleic acid amplification test with real-time fluorescence resonance energy transfer (FRET) PCR was performed to detect C. fetus in stool and synovial fluid that were found to be negative by culture only (Ménard et al., 2005).

Other enteric pathogens have been investigated in all stool samples. A multiplex real-time PCR gastroenteric bacterial (I) assay, AllplexTM (Seegene) was used to detect enteric bacterial agents: Salmonella spp., Campylobacter spp., Shigella spp., E. coli EIEC, Yersinia enterocolitica, Aeromonas spp., and Vibrio spp. Extraction and amplification were, respectively, performed with Hamilton Starlet/NimbusTM and Biorad CFX96TM systems. For viral agent detection, stool samples were sent to the NRC for gastroenteritis virus in Dijon, France. TaqManTM fast Virus 1-step, Applied Biosystems real-time PCR was used for Astrovirus, Norovirus, Rotavirus, and Sapovirus detection. ADENOVIRUS R-geneTM, BioMérieux real-time PCR was used for Adenovirus detection.

Genetic investigation

Pure DNA samples from each C. fetus isolate were obtained from bacterial growth using MagNA Pure 6 DNA and viral NA SV Kit (MagNA Pure 96 system, Roche Applied Science, Manheim, Germany). Paired-end next-generation sequencing (NGS) was performed using Illumina Nextera DNA Library Preparation Kit and Iseq 100 system (300-cycles reagent, 2 × 150 bp reads generation). FastQC v0.11.9 (Wingett and Andrews, 2018) was used to run data quality tests, and reads were cleaned and assembled using Sickle v1.33 (Joshi and Fass, 2011) and SPAdes v3.15.5 de novo methods (Bankevich et al., 2012), respectively. Species were identified using the Average Nucleotide Identity (ANI) algorithm of FastANI v1.1 (Jain et al., 2018) against 68 various reference species of Campylobacter (including C. fetus CFF00A031, C. fetus subsp. fetus NCTC 10842, C. fetus subsp. testudinum pet-3, C. fetus subsp. fetus CCUG 6823, and C. fetus subsp. venerealis NCTC 10354). Whole-genome SNP phylogeny was performed from the alignment of each C. fetus isolate combined with 75 additional clinical isolates (Iraola et al., 2017) against C. fetus reference CFF00A031 using bwa mem v0.7.17 (Li, 2013) and SAMtools v1.13 (Li, 2011). Specifically, pairwise comparisons of each variable position within the genome were performed in order to compute distances between all isolates: a score of 100% between two isolates means they share the same set of SNPs. Scores were finally displayed in a phylogenetic tree using iTOL online tool v6 (Letunic and Bork, 2021). Additionally, resistance and virulence genes were identified using Blast 2.12.0+ command line tool (Camacho et al., 2009) as well as the following databases: NCBI, CARD, ResFinder, VFDB, and VirulenceFinder, and 150 C. fetus proteins from UniProt have been described as responsible for the bacteria virulence.

Epidemiological investigation

An environmental investigation was performed by the French public health agency with traceback investigation including the inspection of RC kitchens. The date of onset of symptoms and the details of the food consumed at each meal by symptomatic patients in the 4 days preceding the manifestations of symptoms were collected. Details of food consumed by confirmed cases were analyzed. Hypotheses were then made to find the probable source of infection.

Results

From 2 June 2021 to 21 June 2021, seven consecutive cases of C. fetus infections were identified from a single RC. All the patients were female, and the median age was 79 years [range 70–90 years] (Table 1). The reasons for RC admission were post-orthopedic surgery reeducation (5/7), post-acute heart failure (1/7), and rehabilitation after acute myeloid leukemia chemotherapy (1/7). The functional status assessed by activities of daily living (ADL) score was altered in 4 out of 7 cases, median ADL was 3.5 (IQR 3–6), and one patient lived in a long-term care facility.

TABLE 1
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Table 1. Summary of the demographic data, clinical, and microbiological characteristics for the seven cases of C. fetus infection.

All patients presented mild watery diarrhea with a maximum of 5 stools per day for 5 days, without nausea or vomiting. Five of them had fever with an average maximum temperature of 38.5°C (± 0.41); none developed sepsis. Two patients out of the six with osteoarticular implanted medical devices had infections, respectively, of their hip and shoulder prosthesis, which were confirmed using a CT scan for the first and fluorodeoxyglucose positron emission tomography (PET-CT) for the second (Table 1, case #1, #2). A CT scan was performed in the case of two patients, transthoracic echocardiography in the case of two patients, ultrasonography with one patient, and a PET-CT scan with one patient. Biological inflammation markers showed a median C-reactive protein level of 165 (IQR 112–235) mg/L and a median leucocyte count of 12.9 (IQR 8.3–18.9) G/L.

In five patients who undertook a blood culture analysis, C. fetus was isolated only in the blood of three patients and was accordingly isolated from blood and stool in two of them (Table 1). C. fetus was detected by specific PCR in six patients including the two patients in whom C. fetus was only detected in the stools by this method (Table 1, cases #5, #7). C. fetus was also detected using specific PCR performed on synovial fluid harvested during surgical debridement which occurred after antibiotic treatment was initiated in one patient (Table 1, case #2).

No other enteric pathogen was found in the stools, but one patient had concomitant Listeria monocytogenes bacteremia (Table 1, case #3). All C. fetus isolates were susceptible to ampicillin, amoxicillin + clavulanic acid, gentamicin, erythromycin, ciprofloxacin, and tetracycline.

All patients had favorable outcomes. Of the two patients with prosthetic osteoarticular infections, only one had surgical debridement, and both received a 12-week course of antibiotic treatment. Three patients with symptoms of gastroenteritis recovered without antibiotic treatment including one with concomitant C. fetus bacteremia (Table 1, case#4).

The complete strain identification revealed a C. fetus subspecies fetus. Whole genome sequencing by NGS of the seven C. fetus isolates, collected confirmed a genetic identity matching for that specific species. ANI scores were, in fact, highly significant against C. fetus CFF00A031 reference, from 99.986 to 99.996% (as a reminder, ANI positive cutoff needs to be greater or equal to 95%). Despite the lack of data for Campylobacter spp. clonality identification, especially SNP rate thresholds, phylogeny based on wgSNP analysis revealed a distinct cluster composed of seven studied isolates (Figure 1). Precisely, only 119 variable positions were found between all 7 isolates, representing an average percentage of whole-genome similarity of ~98.79% ± 0.37, suggesting a strong genomic relationship between each clinical case. Although no genome displayed any known resistance marker, 37 virulence proteins were found among each isolate, highlighting their putative virulence. A list of these proteins with their associated sequences is presented in Supplementary Table 1. It includes three sets of CdtA, B, and C subunits (two out of three located next to each other), seven ABC transporters or adhesin-related proteins, two S-layer proteins, three chemotaxis proteins, and 12 flagellar or motility-related proteins (PseB, FlhA, FliP, FliQ, FlgC, FlgG, FliG, FliN, FliM, FlgP, FlgR, and FliL). Furthermore, all protein sequences are fully identical between all studied isolates. The seven different strains came from five patients. Specifically, two isolates for one patient were sampled from both stools and blood, two other isolates were sampled from blood from the same patient, and the remaining three isolates were sampled from blood from three distinct patients. Raw sequencing data of each sample are available under ENA Study accession number PRJEB62826 and ERS15567209 for case #1 isolate, ERS15567208 for case #2 isolate, ERS15567207 for case #3 isolate, ERS15567203 for isolate 1 of case #4, ERS15567204 for isolate 2 of case #4, ERS15567205 for isolate 1 of case #6, and ERS15567206 for isolate 2 of case #6.

FIGURE 1
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Figure 1. Whole-genome SNP phylogenetic tree generated from the alignment of each C. fetus studied isolate (cases 1, 2, 3, 4A, 4B, 6A, and 6B) combined with 75 additional clinical isolates (Iraola et al., 2017) from various countries against C. fetus reference CFF00A031. Genomes were aligned against the reference using bwa mem, and SNPs were called using samtools. Pair-wise comparison between all genomes was performed in order to determine the proportion of genotype similarity, which is displayed in the present tree in the percentage of identical SNP using iTOL online tool v6.

Epidemiological investigations found three simultaneous cases on 2 June followed by four cases on 5, 7, 18, and 20 June 2021. An investigation of the food consumed by five patients revealed the consumption of unpasteurized cheese made from cow milk, a “Tomme des Pyrénées,” 2 and 3 days before the three simultaneous first cases, 5 and 6 days before the fourth case, and 7 and 8 days before the fifth case. Another unpasteurized cheese made from cow milk, a “Camembert,” was also consumed the day before the three first cases, 4 days before the fourth case, and 6 days before the fifth case. These two unpasteurized milk cheeses were issued from a recently implemented farm-to-fork strategy. No undercooked meat was consumed. Out of 70 patients who were potentially exposed at the same time in the RC to the same contaminated food item, seven C. fetus infections were recorded. A traceback was performed by French public health authorities, which revealed serious hygiene issues in the kitchens, with disrespect of “cold-chain” guidelines leading to their closure on 14 June 2021. Unfortunately, no food testing investigation was made. Farm-to-fork strategies were pursued but unpasteurized dairy products were avoided. No other case was found after 21 June 2021.

Discussion

Few C. fetus outbreaks have been reported in the literature and they rarely involved the elderly (Klein et al., 1986; Rennie et al., 1994; Wagenaar et al., 2014). Evidence suggests that contaminated food, especially products made up of raw milk and undercooked meat may be the sources of human C. fetus infection. This evidence comes from epidemiological investigations of outbreaks and sporadic C. fetus illnesses (Wagenaar et al., 2014). Our study provides elements in favor of these assumptions with an outbreak of seven C. fetus enteritis with three concomitant initial cases, following the consumption of unpasteurized cheese made from cow milk. Raw milk cheeses were mainly suspected due to the fact that there was no consumption of other plausible sources of infection such as undercooked meat. The incubation period of campylobacteriosis varies from a few hours to 14 days, and the mean incubation period ranges from 2.4 to 4.3 days (Awofisayo-Okuyelu et al., 2017). This incubation period was consistent with the hypothesis that the source of infection was the raw milk cheese. However, it was not possible to clearly incriminate one of the two different raw milk cheeses, the “Tomme des Pyrénées” or “Camembert.” The genetic identity of the seven different strains confirms a common source. Unfortunately, the source of the C. fetus infection was not proven because of the absence of microbiological analysis of the suspected food samples. The last two cases occurred 16 and 18 days later, suggesting either the persistence of the food source or interhuman transmission (Itoh et al., 1980; Marchand-Senécal et al., 2017). Concomitant Listeria monocytogenes bacteremia in one patient also raises the suspicion that raw milk cheese was the source of the infection. This fact also clearly demonstrates how susceptible the elderly or immunocompromised patients are to this type of foodborne infection.

This outbreak confirmed the invasive potential of C. fetus, especially in the elderly and immunocompromised host. C. fetus infections have usually been associated with invasive infections such as bacteremia with possible secondary localization (Pacanowski et al., 2008; Wagenaar et al., 2014; Tinévez et al., 2022). In a recent study describing 252 C. fetus bacteremia cases, patients were older than those with C. jejuni bacteremia cases, and secondary localizations were found in 24.2% of cases, mainly with endovascular infections (11.5%) followed by osteoarticular infections (7.2%; Tinévez et al., 2022). While diarrhea is inconstantly associated with systemic infections (Pacanowski et al., 2008; Tinévez et al., 2022), all the patients reported here had mild diarrhea, and C. fetus was found in six out of seven stool samples. The occurrence of a cluster of foodborne illnesses may have alerted the clinicians to look for even mild digestive symptoms in all patients. In sporadic cases, possible digestive symptoms preceding a systemic infection with C. fetus may have gone unnoticed. The median age of the patient is also a possible risk factor for digestive symptoms. Possible exposure to antibiotics before the outbreak was not described.

The optimal treatment of C. fetus infections is not well-defined, and to our knowledge, there are no randomized controlled trials to evaluate it. Several studies conducted in Quebec and France found preserved susceptibility to amoxicillin-clavulanate, imipenem, meropenem, and gentamicin (Tremblay et al., 2003; Gazaigne et al., 2008; Pacanowski et al., 2008; Tinévez et al., 2022). Ampicillin resistance was recently described at 7.2% in a French study (Tinévez et al., 2022). Ciprofloxacin resistance was found to be at 3% in Quebec in 2003 and at 30% in France in 2022 (Tremblay et al., 2003; Tinévez et al., 2022). Resistance to tetracycline and erythromycin was observed in 15 and 1.7% of C. fetus isolates, respectively, in the same French study (Tinévez et al., 2022). Cefotaxime was described to have a lower in vitro bactericidal activity compared with ampicillin, gentamicin, and imipenem, and its susceptibility was described as intermediate in 12–62% of studied strains in Canada and France, respectively (Spelhaug et al., 1981; Tremblay et al., 2003; Gazaigne et al., 2008). The use of third-generation cephalosporins was also described to be a risk factor for death in Campylobacter spp. bacteremia with species other than C. fetus (Pacanowski et al., 2008). In our study, all strains remained susceptible to ampicillin, amoxicillin-clavulanate, ciprofloxacin, erythromycin, tetracycline, gentamicin, and imipenem. Different antibiotic regiments were used, and in three patients, no antibiotics were taken including one with C. fetus bacteremia (Table 1). This fact confirmed the possibility of transient C. fetus bacteremia, resolved without antimicrobial therapy. However, failure to administer appropriate antibiotics is strongly associated with fatal outcomes in Campylobacter spp. bacteremia (Pacanowski et al., 2008).

This study had several limitations in addition to being retrospective and also having only a small number of subjects. First, a cohort study would have been appropriate to calculate an attack rate and relative risks, according to different food samples. Second, a systematic evaluation of asymptomatic residents exposed during this period was not performed, leading to a possible underestimation of C. fetus infection. Third, the epidemiological data hypothesized unpasteurized milk cheese to be the source of infection, but microbiological analysis of food samples was not performed.

Conclusion

In conclusion, we report a cluster of C. fetus infections with diverse clinical patterns in elderly people with a plausible common food source. This highlights the importance of routine hygienic measures to prevent transmission within facilities housing people at risk. Even if the source of infection was only suspected and not confirmed, consumption of unpasteurized dairy products should also be avoided in these specific populations.

Data availability statement

Original datasets are available in the Supplementary material and have been deposited in a publicly accessible repository. Raw sequencing data of each sample are available under ENA Study accession number: PRJEB62826 and ERS15567209 for case 1 isolate, ERS15567208 for case 2 isolate, ERS15567207 for case 3 isolate, ERS15567203 for isolate 1 of case 4, ERS15567204 for isolate 2 of case 4, ERS15567205 for isolate 1 of case 6 and ERS15567206 for isolate 2 of case 6. Further inquiries can be directed to the corresponding authors.

Ethics statement

Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements. Written informed consent was not obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.

Author contributions

GG, CM, and BM contributed to the clinical follow-up and patient interviews. OG contributed to the epidemiological investigation. GG, CM, PL-M, SA, and AL collected the patients' data. LBé, QJ, and PL contributed to the laboratory investigations in the Campylobacter National Reference Center based in Bordeaux. GG, BM, GM-B, CR-B, and PL wrote the first draft of the manuscript. LBa and TD contributed to the revision of the manuscript. PL supervised the project. All authors contributed to the study conception, commented on previous versions of the manuscript, read, and approved the final manuscript.

Funding

Open access funding provided by the French National Reference Center for Campylobacters and Helicobacters, Bordeaux, France. Financially supported by Santé Publique France.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2023.1194243/full#supplementary-material

References

Awofisayo-Okuyelu, A., Hall, I., Adak, G., Hawker, J. I., Abbott, S., and McCarthy, N. (2017). A systematic review and meta-analysis on the incubation period of Campylobacteriosis. Epidemiol. Infect. 145, 2241–2253. doi: 10.1017/S0950268817001303

PubMed Abstract | CrossRef Full Text | Google Scholar

Bankevich, A., Nurk, S., Antipov, D., Gurevich, A. A., Dvorkin, M., Kulikov, A., et al. (2012). SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J. Comput. Biol. 19, 455–477. doi: 10.1089/cmb.2012.0021

PubMed Abstract | CrossRef Full Text | Google Scholar

Camacho, C., Coulouris, G., Avagyan, V., Ma, N., Papadopoulos, J., Bealer, K., et al. (2009). BLAST+: architecture and applications. BMC Bioinformat. 10, 421. doi: 10.1186/1471-2105-10-421

PubMed Abstract | CrossRef Full Text | Google Scholar

Gazaigne, L., Legrand, P., Renaud, B., Bourra, B., Taillandier, E., Brun-Buisson, C., et al. (2008). Campylobacter fetus bloodstream infection: risk factors and clinical features. Eur. J. Clin. Microbiol. Infect. Dis. 27, 185–189. doi: 10.1007/s10096-007-0415-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Iraola, G., Forster, S. C., Kumar, N., Lehours, P., Bekal, S., García-Peña, F. J., et al. (2017). Distinct Campylobacter fetus lineages adapted as livestock pathogens and human pathobionts in the intestinal microbiota. Nat. Commun. 8, 1367. doi: 10.1038/s41467-017-01449-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Itoh, T., Saito, K., Maruyama, T., Sakai, S., Ohashi, M., and Oka, A. (1980). An outbreak of acute enteritis due to Campylobacter fetus subspecies jejuni at a nursery school of Tokyo. Microbiol. Immunol. 24, 371–379. doi: 10.1111/j.1348-0421.1980.tb02841.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Jain, C., Rodriguez, -R. L. M, Phillippy, A. M., Konstantinidis, K. T., and Aluru, S. (2018). High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries. Nat. Commun. 9, 5114. doi: 10.1038/s41467-018-07641-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Joshi, N. A., and Fass, J. N. (2011). Sickle: A Sliding-Window, Adaptive, Quality-Based Trimming Tool for FastQ Files (Version 1.33) [Software]. Available online at: https://github.com/najoshi/sickle

Google Scholar

Klein, B. S., Vergeront, J. M., Blaser, M. J., Edmonds, P., Brenner, D. J., Janssen, D., et al. (1986). Campylobacter infection associated with raw milk. An outbreak of gastroenteritis due to Campylobacter jejuni and thermotolerant Campylobacter fetus subsp fetus. J. Am. Med. Assoc 17, 361–364. doi: 10.1001/jama.255.3.361

PubMed Abstract | CrossRef Full Text | Google Scholar

Letunic, I., and Bork, P. (2021). Interactive Tree Of Life (iTOL). v5: an online tool for phylogenetic tree display and annotation. Nucl. Acids Res. 49, W293–W296. doi: 10.1093/nar/gkab301

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, H. (2011). A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data. Bioinformatics 27, 2987–2993. doi: 10.1093/bioinformatics/btr509

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, H. (2013). Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. arXiv 13:13033997. doi: 10.48550/arXiv.1303.3997

CrossRef Full Text | Google Scholar

Man, S. M. (2011). The clinical importance of emerging Campylobacter species. Nat. Rev. Gastroenterol. Hepatol. 8, 669–685. doi: 10.1038/nrgastro.2011.191

PubMed Abstract | CrossRef Full Text | Google Scholar

Marchand-Senécal, X., Bekal, S., Pilon, P. A., Sylvestre, J. L., and Gaudreau, C. (2017). Campylobacter fetus cluster among men who have sex with men, Montreal, Quebec, Canada, 2014–2016. Clin. Infect. Dis. 65, 1751–1753. doi: 10.1093/cid/cix610

PubMed Abstract | CrossRef Full Text | Google Scholar

Ménard, A., Dachet, F., Prouzet-Mauleon, V., Oleastro, M., and Mégraud, F. (2005). Development of a real-time fluorescence resonance energy transfer PCR to identify the main pathogenic Campylobacter spp. Clin. Microbiol. Infect. 11, 281–287. doi: 10.1111/j.1469-0691.2005.01072.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Morooka, T., and Takeo, H. (1988). Nosocomial meningitis due to Campylobacter fetus subsp. fetus in a neonatal intensive care unit. Eur. J. Pediatr. 148, 90–90. doi: 10.1007/BF00441825

PubMed Abstract | CrossRef Full Text | Google Scholar

Nielsen, H., Hansen, K. K., Gradel, K. O., Kristensen, B., Ejlertsen, T., Østergaard, C., et al. (2010). Bacteraemia as a result of Campylobacter species: a population-based study of epidemiology and clinical risk factors. Clin. Microbiol. Infect. 16, 57–61. doi: 10.1111/j.1469-0691.2009.02900.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Pacanowski, J., Lalande, V., Lacombe, K., Boudraa, C., Lesprit, P., Legrand, P., et al. (2008). Campylobacter bacteremia: clinical features and factors associated with fatal outcome. Clin. Infect. Dis. 15, 790–796. doi: 10.1086/591530

PubMed Abstract | CrossRef Full Text | Google Scholar

Rennie, R. P., Strong, D., Taylor, D. E., Salama, S. M., Davidson, C., and Tabor, H. (1994). Campylobacter fetus diarrhea in a Hutterite colony: epidemiological observations and typing of the causative organism. J. Clin. Microbiol. 32, 721–724. doi: 10.1128/jcm.32.3.721-724.1994

PubMed Abstract | CrossRef Full Text | Google Scholar

Spelhaug, D. R., Gilchrist, M. J., and Washington, J. A. 2nd. (1981). Bactericidal activity of antibiotics against Campylobacter fetus subspecies intestinalis. J. Infect. Dis. 143, 500. doi: 10.1093/infdis/143.3.500

PubMed Abstract | CrossRef Full Text | Google Scholar

Taylor, P. R., Weinstein, W. M., and Bryner, J. H. (1979). Campylobacter fetus infection in human subjects: association with raw milk. Am. J. Med. 66, 779–783. doi: 10.1016/0002-9343(79)91116-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Tinévez, C., Velardo, F., Ranc, A. G., Dubois, D., Pailhoriès, H., Codde, C., et al. (2022). Retrospective multicentric study on Campylobacter spp. bacteremia in France: the campylobacteremia study. Clin. Infect. Dis. 10, 702–709. doi: 10.1093/cid/ciab983

PubMed Abstract | CrossRef Full Text | Google Scholar

Tremblay, C., Gaudreau, C., and Lorange, M. (2003). Epidemiology and antimicrobial susceptibilities of 111 Campylobacter fetus subsp. fetus strains isolated in Québec, Canada, from 1983 to 2000. J. Clin. Microbiol. 41, 463–466. doi: 10.1128/JCM.41.1.463-466.2003

PubMed Abstract | CrossRef Full Text | Google Scholar

Wagenaar, J. A., van Bergen, M. A. P., Blaser, M. J., Tauxe, R. V., Newell, D. G., and van Putten, J. P. M. (2014). Campylobacter fetus infections in humans: exposure and disease. Clin. Infect. Dis. 58, 1579–1586. doi: 10.1093/cid/ciu085

PubMed Abstract | CrossRef Full Text | Google Scholar

Wingett, S. W., and Andrews, S. (2018). FastQ screen: a tool for multi-genome mapping and quality control. F1000Res 7, 1338. doi: 10.12688/f1000research.15931.1

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Campylobacter fetus, bacteremia, food safety, foodborne outbreak, foodborne illness, elderly, outbreak, WGS analysis

Citation: Grouteau G, Mignonat C, Marchou B, Martin-Blondel G, Glass O, Roubaud-Baudron C, Lansalot-Matras P, Alik S, Balardy L, De Nadaï T, Bénéjat L, Jehanne Q, Le Coustumier A and Lehours P (2023) Campylobacter fetus foodborne illness outbreak in the elderly. Front. Microbiol. 14:1194243. doi: 10.3389/fmicb.2023.1194243

Received: 26 March 2023; Accepted: 12 June 2023;
Published: 06 July 2023.

Edited by:

Vinicius Castro, University of Lethbridge, Canada

Reviewed by:

Heriberto Fernandez, Austral University of Chile, Chile
Pedro Panzenhagen, Federal University of Rio de Janeiro, Brazil
Israel Nissan, Ministry of Health, Israel

Copyright © 2023 Grouteau, Mignonat, Marchou, Martin-Blondel, Glass, Roubaud-Baudron, Lansalot-Matras, Alik, Balardy, De Nadaï, Bénéjat, Jehanne, Le Coustumier and Lehours. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Gaspard Grouteau, ggrouteau@ch-tarbes-vic.fr; Philippe Lehours, philippe.lehours@u-bordeaux.fr

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