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A hospital qPCR-based survey of 10 gastrointestinal parasites in routine diagnostic screening, Marseille, France

Published online by Cambridge University Press:  22 February 2019

E. Menu
Affiliation:
Aix Marseille University, IRD, APHM, MEPHI, IHU-Méditerranée Infection, Marseille, France
C. Mary
Affiliation:
Aix Marseille University, IRD, APHM, VITROME, IHU-Méditerranée Infection, Marseille, France
I. Toga
Affiliation:
Aix Marseille University, IRD, APHM, VITROME, IHU-Méditerranée Infection, Marseille, France
D. Raoult
Affiliation:
Aix Marseille University, IRD, APHM, MEPHI, IHU-Méditerranée Infection, Marseille, France
S. Ranque
Affiliation:
Aix Marseille University, IRD, APHM, VITROME, IHU-Méditerranée Infection, Marseille, France
F. Bittar*
Affiliation:
Aix Marseille University, IRD, APHM, MEPHI, IHU-Méditerranée Infection, Marseille, France
*
Author for correspondence: F. Bittar, E-mail: [email protected]
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Abstract

There is a scarcity of recent epidemiological data on intestinal parasitic infections in France. We conducted a prospective study aimed at estimating the prevalence of 10 enteric parasites in Marseille, France, using real-time polymerase chain reaction (PCR)-based diagnosis. A total of 643 faeces from 488 patients referred to the Parasitology-Mycology Laboratory of the University Hospital of Marseille over a 6 months period were included. DNA was extracted using a semi-automated method. Parasites of interest were detected using singleplex quantitative PCRs (qPCRs). For positive samples, the Blastocystis subtype was determined by sequence analysis. During the study, the overall prevalence of enteric parasites was 17%. Blastocystis sp. was the most frequent species (10.5%), followed by Dientamoeba fragilis (2.3%) and Giardia intestinalis (2.3%). The prevalence of other parasites was <1% each. The ST3 Blastocystis subtype was predominant (43.6%) and the other subtypes identified were ST1, ST2, ST4 and ST6. This is the first time that a qPCR-based diagnosis has been used to survey the prevalence of 10 enteric parasites in a French University Hospital. This study confirms that fast, specific, sensitive and simultaneous detection in a single stool sample by qPCR clearly outperforms conventional microscopy-based diagnosis. Furthermore, qPCR is particularly well suited to surveying gastroenteritis agents.

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s) 2019

Introduction

Intestinal parasitic disease remains one of the greatest health problems in developing countries. The World Health Organization estimates that around 3.5 billion people worldwide are affected and that 450 million show symptoms of an illness [1]. Much attention has been paid to enteric parasites in developing countries. In contrast, the current situation of enteric parasitic diseases in Europe is poorly understood. First, due to the lack of an operational surveillance system and under-reporting, confirmed cases of intestinal parasitic infections are often not reported. Thus, available data are fragmented and the prevalence of such diseases might be underestimated. Second, the frequency of intestinal parasitic diseases might also be subjected to changes in industrialised countries as a consequence of climate change, globalisation, increasing frequency of travels and worldwide international exchanges, including immigration and the adoption of children from endemic regions [Reference Calderaro2]. Therefore, it appears crucial to conduct epidemiological studies in industrialised countries. Regarding protozoa parasites, Cryptosporidium parvum/hominis, Blastocystis sp., Entamoeba spp. as well as Giardia intestinalis and Dientamoeba fragilis are the most common species associated with human diarrhoea worldwide [Reference Fletcher3], although the pathogenic potential of Blastocystis sp. and D. fragilis remains controversial. In fact, recent publications have reported D. fragilis as a commensal in children [Reference Holtman4,Reference Jokelainen5]. These species, along with others such as Cyclospora cayetanensis, Balantidium coli and Cystoisospora belli and two microsporidia, Enterocytozoon bieneusi and Encephalitozoon intestinalis, should therefore be considered in such surveillance studies.

While microscopic examination of stool samples remains the gold standard for the diagnosis of parasitic infections, it is time-consuming, laborious and requires substantial technical expertise. In contrast, rapid diagnostic methods such as polymerase chain reaction (PCR)-based assays have been developed to improve sensitivity and specificity of the detection of enteric parasites, including helminths, protozoa and microsporidia [Reference Verweij6, Reference Verweij and Stensvold7]. While most of the published studies focus on a limited number of intestinal protozoa [Reference Ten Hove8, Reference Bruijnesteijn van Coppenraet9], new PCR-based diagnostic tools can detect a large range of intestinal parasites in a single human stool sample and are particularly suitable for epidemiological surveys [Reference Basuni10, Reference Mejia11]. Their high sensitivity allows the detection of low parasite levels and the use of quantitative assays, enabling the parasitic load to be quantified, which might be useful for the post-treatment monitoring of the patients [Reference Momčilović12Reference Garcia14]. Furthermore, detecting multiple intestinal parasites using a standardised protocol enhances the reproducibility of results.

This work is the first prospective, monocentric, French epidemiological study aiming at estimating the occurrence of eight protozoans: Blastocystis sp., C. parvum/hominis, C. cayetanensis, D. fragilis, G. intestinalis, B. coli, Entamoeba histolytica and C. belli and two microsporidia: E. bieneusi and E. intestinalis, using singleplex real-time quantitative PCR (qPCR) analysis. Microscopy and qPCR results were also compared.

Materials and methods

Samples collection, ethical norms and routine microscopic examination

Faecal samples were collected at the Parasitology-Mycology Laboratory at La Timone University Hospital in Marseille during routine parasitological examinations of stool samples from patients between January 2017 and July 2017. Intestinal parasites in stool specimens were assessed during routine medical visits. Patients received written laboratory work-up reports. qPCRs were performed on surplus stool samples. Patient's characteristics were obtained from a retrospective, non-interventional review of medical charts and laboratory results. According to French law, the patients were informed that their samples and clinical data may be used for research purposes and retained the right to oppose to the use of their anonymous medical data for such purposes. Therefore, neither dedicated ethical approval nor individual patient consent was required for this type of study (Loi no 2012–300 du 5 mars 2012 and Décret no 2016–1537 du 16 novembre 2016 published in the ‘Journal Officiel de la République Française’). For each patient, the reason for the consultation and sampling were retrieved from the hospital management system database and were classified into five groups: gastro-intestinal symptoms including abdominal pain, diarrhoea, rectal bleeding, abdominal meteorism (bloating) and constipation (some of these symptoms were found concurrently); recent travel to endemic areas; hyper-eosinophilia; immunosuppression (HIV, transplant recipient, chemotherapy); and undetermined reason. Of note that some patients might belong to several groups. Upon arrival, microscopic examination of each stool sample was routinely performed by an experienced operator, using direct saline solution, iodine mounts and formol-ethyl acetate concentration techniques. Cryptosporidium spp. and Microsporidia have exclusively been sought at the request of the prescriber. In these cases, a modified Ziehl–Neelsen stain and in-house PCR were performed, respectively.

DNA extraction from stool samples

DNA extraction was performed daily using the EZ1 (Qiagen GmbH, Hilden, Germany) automated protocol with mechanical, chemical and enzymatic pre-treatment [Reference Menu15]. The extraction protocol was adapted for stool processing as follows: 200 mg of stool sample was added to 350 µl of G2 lysis buffer (Qiagen GmbH) in a tube containing glass powder (acid-washed glass beads 425–600 µm, Sigma-Aldrich, Saint Quentin Fallavier, France) and then disrupted in a FastPrep-24 grinder (MP Biomedicals, Illkirch-Graffenstaden, France) at maximum power for 40 s. After 10 min of incubation at 100 °C to allow complete lysis, tubes were centrifuged at 10 000 g for 1 min. A 200 µl of supernatant was then added to a tube containing 20 µl of Proteinase K, and incubated overnight at 56 °C. Finally, the automated protocol using the EZ1 Advanced XL extractor was performed as described by the manufacturer. Extracted DNA was eluted in 200 µl.

To control for both DNA extraction quality and the absence of PCR inhibitors, a eubacterial 16S rRNA qPCR was performed on each DNA, as previously described [Reference Dridi16]. Extraction was repeated in the event of a negative result which indicates the presence of PCR inhibitors in the sample.

Singleplex qPCR amplification and detection

Ten different specific primer pairs and Taqman™ (Eurogentec®, Seraing, Belgium) hydrolysis probes targeting the following species: Blastocystis sp., C. parvum/hominis, C. cayetanensis, C. belli, D. fragilis, E. bieneusi, E. intestinalis, B. coli, E. histolytica and G. intestinalis were used in singleplex assays (Table 1). All primer sequences and PCR conditions have been previously described [Reference Sow17Reference Verweij26]. Briefly, each qPCR reaction was conducted in a 20 µl total volume containing 10 µl of Master mix (Roche Diagnostics GmbH, Mannheim, Germany), 0.5 µl of each primer, 0.5 µl of probe, 3 µl of distilled water, 0.5 µL of UDG and 5 µl of DNA. Analyses were performed using a CFX96™ Real-Time PCR detection system (BIO-RAD, Life Science, Marnes-la-Coquette, France). Amplification reaction was performed directly after DNA extraction as follows: 2 min of incubation at 50 °C, 5 min of incubation at 95 °C, followed by 40 cycles of 5 s at 95 °C and 30 s at 60 °C. The qPCR results were considered negative when the Ct value exceeded 37 or when no amplification was obtained, as described in previous studies [Reference Mejia11, Reference Sow17].

Table 1. List of primers and probes used in this study

Standard curves using plasmid templates for quantification

Serial dilutions of plasmids designed with target nucleotide sequences were used to establish standard curves using a dilution range of 102 to 107 copies of plasmid DNA in the qPCR assay. Plasmid DNA were synthetised by Eurogentec®; the targeted gene was cloned in pUC57 by EcoRV. Lyophilised plasmids were rehydrated to one target-sequence copy per plasmid. A set of plasmid dilutions was included in each qPCR assay to estimate the number of target copies and to monitor analytical sensitivity. Two dilutions (103 and 104 copies) of each plasmid were included in each assay as positive controls.

Amplification of the SSU rDNA gene and Blastocystis sp. molecular subtyping

DNA sequencing was used for Blastocystis sp. subtyping. Each Blastocystis sp.-positive DNA sample was subjected to a standard PCR assay using the Blastocystis sp.-specific primers BL18SPPF1 (5′-AGTAGTCATACGCTCGTCTCAAA-3′) and BL18SR2PP (5′-TCTTCGTTACCCGTTACTGC-3′), designed by Poirier et al. [Reference Poirier27]. These primers target a 320–342 bp DNA fragment in the Blastocystis sp. SSU rRNA gene, the nucleotide sequence of which varies depending on the subtype (ST). Amplification was performed in a 50 µl total volume with the AmpliTaq Gold® 360 protocol (Thermo Fisher Scientific, France). Following denaturation at 95 °C for 15 min, 40 cycles of amplification were performed with a 2720 Thermal Cycler™ (Applied Biosystems, Courtaboeuf, France) as follows: 30 s at 95 °C, 30 s at 59 °C and 30 s at 72 °C. The amplification products were assessed by electrophoresis using 1.5% agarose gel and SYBR™ Safe DNA Gel Stain (Invitrogen ™, Carlsbad, USA). PCR products were purified using MultiScreen® PCR (Meck Millipore, Darmstadt, Germany) and the sequencing reaction was carried out using a DNA sequencing kit (BigDye Terminator Cycle Sequencing v1.1 Ready Reactions; AB Applied Biosystems) according to the manufacturer's instructions. Sequencing products were purified, and electrophoresis was performed with a 3130 Genetic Analyzer (Applied Biosystems). The nucleotide sequences were assembled and corrected using the CodonCode Aligner (Centerville, MA, USA) software and compared with those available in the GenBank database, using the BLASTn (http://www.ncbi.nlm.nih.gov/BLAST) software.

Data analysis

For qualitative variables, the χ 2 (when applicable) or the Fisher's exact test was used. For quantitative variables, normal distribution was assessed using the Kolmogorov–Smirnov test and the Student's t test or the Mann–Whitney test were used when applicable. Statistical analyses were performed using the GraphPad Prism, version 6.0 (La Jolla, CA) software.

Nucleotide sequence accession numbers

All sequences obtained in this work were deposited in GenBank database under accession numbers MG865904 to MG865961.

Results

Prevalence and diseases

This study includes a total of 643 stool samples (from 488 patients; 111 patients of them provided more than one sample) that were submitted to the Parasitology Department of La Timone Hospital (3400 beds; >1 000 000 consultations/year) in Marseille for routine microscopic examination between January 2017 and July 2017. Patients’ ages ranged from 1 to 97 years and the sex ratio was 1.09. No PCR inhibitors were detected by eubacterial 16S rRNA qPCR; the average Ct for all samples was 18.33 ± 4.06. Among these patients, 83 (17%, 95% confidence interval (95% CI) 13.8–20.7) were found to be positive for at least one of the 10 enteric parasites tested (Table 2). Blastocystis sp. was the most common, with a 10.5% prevalence (51 patients) (95% CI 7.9–13.6), followed by G. intestinalis and D. fragilis with 2.3% prevalence (11 patients) (95% CI 1.2–4) each. The prevalence of the remaining investigated parasites was as follows: three patients (0.6%, 95% CI 0.1–1.9) for C. cayetanensis, two patients (0.4%, 95% CI 0–1.6) for each C. belli, E. bieneusi and C. parvum/hominis and one patient (0.2%, 95% CI 0–1) for E. intestinalis. Neither E. histolytica nor B. coli were detected in the tested samples. Of the 488 patients, 283 (58%, 95% CI 53.5–62.4) had gastro-intestinal symptoms, 80 (16.4%, 95% CI 13–20) had travelled to tropical or developing countries during the last 6 months, 26 (5.3%, 95% CI 3.6–7.8) consulted because of hyper-eosinophilia and 169 (34.6%, 95% CI 30.4–39) were immunosuppressed, and in 40 of cases (8.20%, 95% CI 6–11) the reasons for performing the examination were not provided. For the remaining 69 patients, the reasons for stool examination did not fit any of the aforementioned groups and include unexplained itching and allergies. Among positive qPCR patients, six of them had HIV (one patient with Cryptosporidium spp., two patients with C. cayetanensis, two patients with Cytoisospora belli and one patient with E. bieneusi) and two of them had renal transplant (one patient with Cryptosporidium spp. and one patient with E. bieneusi). Among the 11 positively diagnosed patients with G. intestinalis, nine of them were associated with diarrhoea. Finally, no significant association was found linking the detected enteric parasites with the age range of patients, neither with the time of sample collection nor the reason for consultation and sampling.

Table 2. Intestinal parasites in stool samples from the department of parasitology at La Timone hospital, Marseille (n = 643) as detected with microscopy and qPCR

Comparison between qPCR and microscopy

Overall, qPCR and microscopic examination were positive in 99 (15.4%, 95% CI 12.7–18.5) and seven (1.1%, 95% CI 0.5–2) of the 643 samples, respectively (P < 0.0001). While the detection of G. intestinalis was positive in five samples using both methods, eight additional samples were detected positive for G. intestinalis via qPCR (Table 2). Cyclospora cayetanensis, C. belli, C. parvum/hominis and D. fragilis were only detected by qPCR. Of note that low levels of Blastocystis sp. have not been notified in routine microscopic examination because they stand within the normal, ‘non-pathogenic’ range (i.e. ⩽5 cysts per high-power field). Moreover, Cryptosporidium spp. and Microsporidia spp. were exclusively searched at the request of the prescriber/doctor. Thus, the overall detection rates, calculated excluding Blastocystis sp., Cryptosporidium spp. and Microsporidia, were 4.5% (n = 29) (95% CI 3–6.5) and 0.8% (n = 5) (95% CI 0.3–1.9) for qPCR and microscopy (P < 0.0001), respectively.

Poly-parasitism

In 15 samples, two or three distinct species were concomitantly detected. Blastocystis sp. and D. fragilis were found in eight patients; Blastocystis sp. and G. intestinalis in three patients; and Blastocystis sp. and C. parvum/hominis, Blastocystis sp. and E. intestinalis, and C. cayetanensis and C. belli in one patient each. In one patient, we detected Blastocystis sp., C. cayetanensis and C. belli.

qPCR quantification

Standard curves were analysed to determine the efficiency of qPCR reactions. The standards had a linear quantification range from 1 × 102 to 1 × 107gene copies per 5 µl of plasmid DNA, and the limit of detection was 10 copies per reaction (data not shown). The efficiency, slope of the standards, correlation coefficient (r2) and intercept ranged from 80.5% to 94.7%, −3.898 to −3.455, 0.970 to 0.999 and 41.915 to 46.239, respectively. The calculated gene copy number in positive samples is plotted for each intestinal pathogen in Figure 1.

Fig. 1. Results obtained after quantification by qPCR. The curve representing the number of gene copies, as a function of qPCR Ct values, in positive samples for each of the eight enteric parasites tested.

Blastocystis subtyping

Following the sequence analyses of the 62 Blastocystis-positive samples (51 patients), five STs were detected (Fig. 2). ST3 was the most frequent (n = 27, 43.6%, 95% CI 31–56.7), followed by ST1 (n = 11, 17.7%, 95% CI 9.6–29.9), ST2 (n = 8, 12.9%, 95% CI 6–24.4), ST4 (n = 8, 12.9%, 95% CI 6–24.4) and ST6 (n = 8, 12.9%, 95% CI 6–24.4). In cases where a given patient provided several samples, the same subtype was found in all related samples except for one patient (patient 8), in whom we found ST3 and ST6 in samples 29 and 30, respectively. A phylogenetic tree was constructed to illustrate the relationship between the different subtypes found in our samples (Fig. 2). There was no significant correlation between patient demographics, disease categories or co-detection with another parasite and the Blastocystis subtype.

Fig. 2. Phylogenetic relationship between the SSD rDNA sequence of Blastocystis. The molecular phylogenetic analysis was carried out using the Maximum Likelihood method based on the Tamura–Nei model. ST, subtype; (n): patient number in case of multiple samples.

Discussion

This work is the first prospective epidemiological survey of 10 enteric parasites based on qPCR conducted in France. It highlights the enhanced specificity and sensitivity of qPCR compared with microscopy for the diagnosis of these enteric parasites. Despite relatively high costs, a growing number of clinical laboratories are equipped with automated extraction systems and qPCR thermal cyclers. Increased diagnostic performance is particularly important for enhancing patients’ care but also for detecting outbreaks. When investigating an outbreak, enhanced diagnosis and case detection makes it easier to trace the source and improve the control of the outbreak [Reference Hennessy28]. We will successively discuss our findings for each pathogen.

Blastocystis sp. was found in 10.5% (51/488) of the patients, making it the most common enteric parasites in our study. This is not surprising, since Blastocystis sp. are among the most frequently observed intestinal parasites in humans with a prevalence ranging between 0.5% and 60% across the world [Reference Clark29]. The prevalence found in our survey throughout winter and spring is closely similar to the prevalence (13.7%) that was reported in the winter in a recent multi-centre study in France [Reference El Safadi30]. However, it remains lower than the prevalence (35.2%) found in a recent Spanish study [Reference Paulos31]. The pathogenicity of Blastocystis sp. is still controversial [Reference Andersen and Stensvold32]. While, in our study, we did not find any significant correlation between Blastocystis sp. detection and the reason for the consultation, abdominal pain was significantly more frequently reported in Blastocystis sp. carriers. The prevalence of Blastocystis in the population has been confirmed by both qPCR and standard PCR. The low sensitivity of microscopy can be explained by the fact that the Blastocystis is notified only when high levels (i.e. >5 cysts per high-power field) are present in stool samples. The subtype distribution in the study population showed five different subtypes: ST1, ST2, ST3, ST4 and ST6. Subtypes 1–4 have been pointed out as the most common subtypes in humans [Reference El Safadi30, Reference Bart33]. In line with our findings, a previous study identified ST3 as the predominant subtype [Reference Bart33]. Nevertheless, another recent work performed in northern Spain detected ST2 more frequently than the other subtypes together [Reference Paulos31]. ST1 was relatively frequent in our study group (17.7%) compared with other European studies (Swedish patients [Reference Forsell34] and Spanish individuals [Reference Paulos31]), but is consistent with one previous French study [Reference Souppart35]. In addition, similar results for the remaining subtypes have also been reported in Sweden [Reference Forsell34]. The relative occurrence of subtypes 1–4 and 6 suggests that heterogeneity in transmission efficiency to humans may exist between them. The ST4 is mainly found in Europe [Reference Forsell34] and has been associated with infectious diarrhoea [Reference Paulos31], but not in our work. The relatively high prevalence of ST6 observed in this study, which has mainly been described in birds so far, may suggest a zoonotic transmission [Reference El Safadi30, Reference Noël36].

Concerning G. intestinalis, which is a protozoan often responsible for diarrhoea, it was detected using qPCR with a prevalence of 2.3%, and is the second most prevalent in our study. This is in agreement with previous studies that estimated that the prevalence of G. intestinalis ranges between 2% and 7% in industrialised countries [Reference Fletcher3]. We also noticed that giardiasis remains underdetected by microscopy. Indeed, the quality of the microscopic investigation remains technician-dependent and time-consuming. In developed countries, where a limited number of positive samples have been examined and where the parasite levels are typically low in positive samples, technicians’ performance is likely to be suboptimal. In our work, the samples missed by microscopy revealed significantly higher Ct values (P = 0.0034), indicative of a lower number of parasites, which has also been reported elsewhere [Reference Ten Hove37]. Except for G. intestinalis, for which 81.8% (9/11) of the infected patients presented with diarrhoea, the other detected parasites were not associated neither with a symptom nor with a group of patients.

Dientamoeba fragilis is a flagellate protozoan parasite of the human gastro-intestinal tract, the biological cycle of which remains partly undetermined [Reference Garcia38]. The prevalence of dientamoebiasis equals that found for giardiasis in this study, with a prevalence of 2.3%. Previous surveys showed that the prevalence varies from 0.4% (in patients with gastrointestinal discomfort) to 82.9% (in children infected with other gastrointestinal protozoa) [Reference Garcia38]. Although recent studies have reported D. fragilis as a commensal in children [Reference Holtman4, Reference Jokelainen5], the detection of this parasite was neither statistically associated with diarrhoea nor showed a bias towards children. A study conducted in the Netherland [Reference Maas39] revealed a rate of co-infection with Blastocystis sp. in a half of the cases of dientamoebiasis in paediatric patients. Similarly, we documented, in our survey, a high rate of combination with Blastocystis sp. (72.7%, 8 patients/11). It is notable that there was no significant correlation between D. fragilis infection and Blastocystis subtypes.

On explanation for the low number of positive stool samples for Cryptosporidium spp. (0.4%, two patients) might be that our study was carried out from January to July 2017, while in developed countries, a peak in the prevalence of cryptosporidiosis is observed during summer months [Reference Fournet40]. In addition, both patients were receiving immunosuppressive therapy; one was a renal transplant recipient and the other was a patient co-infected by HIV and HCV who presented with diarrhoea after returning from India, a highly endemic area [Reference Gupta41].

Microsporidiosis, an opportunistic infection caused by obligate intracellular microsporidia fungi species, has been particularly well documented in immunocompromised patients [Reference Bednarska42]. In this study, we found four E. bieneusi-positive samples in an HIV-infected patient with a low (<100/mm3) CD4 count at the time of collection. Another patient was a renal transplant recipient. Encephalitozoon intestinalis was also found in a patient suffering from diarrhoea without a fever, who had lived in Cambodia and died before being tested for HIV.

The two C. cayetanensis-positive patients were immigrants from Albania and HIV-positive. Both were co-infected with C. belli. Due to the lack of microscopic detection of these two parasites in both patients, we cannot exclude a cross-reactivity between C. cayetanensis and C. belli PCRs. One of these two patients was also infected with Blastocystis sp. Cases of cyclosporiasis have been described previously in Germany [Reference Döller43].

Finally, we did not detect any patients with E. histolytica or B. coli during our study. In fact, in developed countries, E. histolytica infections are rare and often related to travel to endemic regions [Reference Vreden44] although sporadic and epidemic cases of B. coli have been described in Europe [Reference Schuster and Ramirez-Avila45].

Conclusion

In this prospective hospital-based epidemiological survey, we report the occurrence of 10 enteric parasites, including eight protozoans and two microsporidia species, in Marseille, France. It highlights a relatively high prevalence of G. intestinalis and D. fragilis, second only to Blastocystis sp. The detection of these parasites, mainly by qPCRs, provides further evidence of qPCR superiority and questions the current use of microscopy as the diagnostic gold standard. Moreover, our results emphasise the value of qPCR-based assays in stools for surveying multiple infectious gastroenteritis agents. Similar studies have been previously performed in other European countries. However, this work is the first study to use qPCR to detect gastrointestinal parasites in routine diagnostic screening in France, which can help to understand the current situation of enteric parasitic diseases in Europe. Further epidemiological surveys should aim at identifying risk factors associated with these parasites, including seasonality or eco-geographical factors.

Author ORCIDs

F. Bittar, 0000-0003-4052-344X

Acknowledgments

We are grateful to the technicians and clinicians involved for their collaboration. This work was supported by the French Government under the ‘Investissements d'avenir’ (Investments for the Future) programme managed by the Agence Nationale de la Recherche (ANR, fr: National Agency for Research), (reference: Méditerranée Infection 10-IAHU-03).

Author contributions

Conception or design of the work: DR, SR and FB; data collection: EM, CM and IT; data analysis and interpretation: all authors; drafting the article: EM, SR and FB; critical revision of the article: all authors. All authors read and approved the final manuscript.

References

1.World Health Organization (2012) Accelerating work to overcome the global impact of neglected tropical diseases: A roadmap for implementation: Executive summary. Available at http://apps.who.int/iris/handle/10665/70809?locale=en.Google Scholar
2.Calderaro, A et al. (2014) Intestinal parasitoses in a tertiary-care hospital located in a non-endemic setting during 2006–2010. BMC Infectious Diseases 14, 264.Google Scholar
3.Fletcher, SM et al. (2012) Enteric protozoa in the developed world: a public health perspective. Clinical Microbiology Reviews 25, 420449.Google Scholar
4.Holtman, GA et al. (2017) Dientamoeba fragilis colonization is not associated with gastrointestinal symptoms in children at primary care level. Family Practice 34, 2529.Google Scholar
5.Jokelainen, P et al. (2017) Dientamoeba fragilis, a commensal in children in Danish day care centers. Journal of Clinical Microbiology 55, 17071713.Google Scholar
6.Verweij, JJ (2014) Application of PCR-based methods for diagnosis of intestinal parasitic infections in the clinical laboratory. Parasitology 141, 18631872.Google Scholar
7.Verweij, JJ and Stensvold, CR (2014) Molecular testing for clinical diagnosis and epidemiological investigations of intestinal parasitic infections. Clinical Microbiology Reviews 27, 371418.Google Scholar
8.Ten Hove, RJ et al. (2009) Molecular diagnostics of intestinal parasites in returning travellers. European Journal of Clinical Microbiology and Infectious Diseases 28, 10451053.Google Scholar
9.Bruijnesteijn van Coppenraet, LES et al. (2009) Parasitological diagnosis combining an internally controlled real-time PCR assay for the detection of four protozoa in stool samples with a testing algorithm for microscopy. Clinical Microbiology and Infectious Diseases 15, 869874.Google Scholar
10.Basuni, M et al. (2011) A pentaplex real-time polymerase chain reaction assay for detection of four species of soil-transmitted helminths. The American Journal of Tropical Medicine and Hygiene 84, 338343.Google Scholar
11.Mejia, R et al. (2013) A novel, multi-parallel, real-time polymerase chain reaction approach for eight gastrointestinal parasites provides improved diagnostic capabilities to resource-limited at-risk populations. The American Journal of Tropical Medicine and Hygiene 88, 10411047.Google Scholar
12.Momčilović, S et al. (2018) Rapid diagnosis of parasitic diseases: current scenario and future needs. Clinical Microbiology and Infection, 1–20. pii: S1198-743X 30395-1.Google Scholar
13.Ryan, U et al. (2017) New technologies for detection of enteric parasites. Trends Parasitology 33, 532546.Google Scholar
14.Garcia, LS et al. (2018) Laboratory diagnosis of parasites from the gastrointestinal tract. Clinical Microbiology Reviews 31, e0002517.Google Scholar
15.Menu, E et al. (2018) Evaluation of two DNA extraction methods for the PCR-based detection of eukaryotic enteric pathogens in fecal samples. BMC Research Notes 11, 206.Google Scholar
16.Dridi, B et al. (2009) High prevalence of Methanobrevibacter smithii and Methanosphaera stadtmanae detected in the human gut using an improved DNA detection protocol. PLoS ONE 4, e7063.Google Scholar
17.Sow, D et al. (2017) Performance of real-time polymerase chain reaction assays for the detection of 20 gastrointestinal parasites in clinical samples from Senegal. The American Journal of Tropical Medicine and Hygiene 97, 173182.Google Scholar
18.Stensvold, CR et al. (2012) Development and evaluation of a genus-specific, probe-based, internal-process-controlled real-time PCR assay for sensitive and specific detection of Blastocystis spp. Journal of Clinical Microbiology 50, 18471851.Google Scholar
19.Garcés-Sanchez, G et al. (2009) Evaluation of two methods for quantification of hsp70 mRNA from the waterborne pathogen Cryptosporidium parvum by reverse transcription real-time PCR in environmental samples. Water Research 43, 26692678.Google Scholar
20.Verweij, JJ et al. (2003) Detection of Cyclospora cayetanensis in travellers returning from the tropics and subtropics using microscopy and real-time PCR. International Journal of Medical Microbiology 293, 199202.Google Scholar
21.Ten Hove, R-J et al. (2008) Real-time polymerase chain reaction for detection of Isospora belli in stool samples. Diagnostic Microbiology and Infectious Disease 61, 280283.Google Scholar
22.Verweij, JJ et al. (2007) Real-time PCR for the detection of Dientamoeba fragilis in fecal samples. Molecular and Cellular Probes 21, 400404.Google Scholar
23.Menotti, J et al. (2003) Development of a real-time PCR assay for quantitative detection of Encephalitozoon intestinalis DNA. Journal of Clinical Microbiology 41, 14101413.Google Scholar
24.Roy, S et al. (2005) Real-time-PCR assay for diagnosis of Entamoeba histolytica infection. Journal of Clinical Microbiology 43, 21682172.Google Scholar
25.Menotti, J et al. (2003) Development of a real-time polymerase-chain-reaction assay for quantitative detection of Enterocytozoon bieneusi DNA in stool specimens from immunocompromised patients with intestinal microsporidiosis. The Journal of Infectious Diseases 187, 14691474.Google Scholar
26.Verweij, JJ et al. (2004) Simultaneous detection of Entamoeba histolytica, Giardia lamblia, and Cryptosporidium parvum in fecal samples by using multiplex real-time PCR. Journal of Clinical Microbiology 42, 12201223.Google Scholar
27.Poirier, P et al. (2011) Development and evaluation of a real-time PCR assay for detection and quantification of blastocystis parasites in human stool samples: prospective study of patients with hematological malignancies. Journal of Clinical Microbiology 49, 975983.Google Scholar
28.Hennessy, TW et al. (2004) Survey of physician diagnostic practices for patients with acute diarrhea: clinical and public health implications. Clinical Infectious Diseases 38(suppl. 3), S203S211.Google Scholar
29.Clark, CG et al. (2013) Recent developments in Blastocystis research. Advances in Parasitology 82, 132.Google Scholar
30.El Safadi, D et al. (2016) Prevalence, risk factors for infection and subtype distribution of the intestinal parasite Blastocystis sp. from a large-scale multi-center study in France. BMC Infectious Diseases 16, 451.Google Scholar
31.Paulos, S et al. (2018) Occurrence and subtype distribution of Blastocystis sp. in humans, dogs and cats sharing household in northern Spain and assessment of zoonotic transmission risk. Zoonoses and Public Health 65, 9931002.Google Scholar
32.Andersen, LO and Stensvold, CR (2016) Blastocystis in health and disease: are we moving from a clinical to a public health perspective? Journal of Clinical Microbiology 54, 524528.Google Scholar
33.Bart, A et al. (2013) Diagnosis and subtype analysis of Blastocystis sp. in 442 patients in a hospital setting in the Netherlands. BMC Infectious Diseases 13, 389.Google Scholar
34.Forsell, J et al. (2012) Subtype analysis of Blastocystis isolates in Swedish patients. European Journal of Clinical Microbiology and Infectious Diseases 31, 16891696.Google Scholar
35.Souppart, L et al. (2009) Molecular epidemiology of human Blastocystis isolates in France. Parasitology Research 105, 413421.Google Scholar
36.Noël, C et al. (2005) Molecular phylogenies of Blastocystis isolates from different hosts: implications for genetic diversity, identification of species, and zoonosis. Journal of Clinical Microbiology 43, 348355.Google Scholar
37.Ten Hove, R et al. (2007) Detection of diarrhoea-causing protozoa in general practice patients in The Netherlands by multiplex real-time PCR. Clinical Microbiology and Infection 13, 10011007.Google Scholar
38.Garcia, LS (2016) Dientamoeba fragilis, one of the neglected intestinal Protozoa. Journal of Clinical Microbiology 54, 22432250.Google Scholar
39.Maas, L et al. (2014) Detection of intestinal protozoa in paediatric patients with gastrointestinal symptoms by multiplex real-time PCR. Clinical Microbiology and Infectious dieases 20, 545550.Google Scholar
40.Fournet, N et al. (2013) Simultaneous increase of Cryptosporidium infections in the Netherlands, the United Kingdom and Germany in late summer season, 2012. Euro Surveillance 18, 15. pii: 20348.Google Scholar
41.Gupta, S et al. (2008) Chronic diarrhoea in HIV patients: prevalence of coccidian parasites. Indian Journal of Medical Microbiology 26, 172175.Google Scholar
42.Bednarska, M et al. (2014) Occurrence of intestinal microsporidia in immunodeficient patients in Poland. Annals of Agricultural and Environmental Medicine 21, 244248.Google Scholar
43.Döller, PC et al. (2002) Cyclosporiasis outbreak in Germany associated with the consumption of salad. Emerging Infectious Diseases 8, 992994.Google Scholar
44.Vreden, SG et al. (2000) Outbreak of amebiasis in a family in The Netherlands. Clinical Infectious Diseases 31, 11011104.Google Scholar
45.Schuster, FL and Ramirez-Avila, L (2008) Current world status of Balantidium coli. Clinical Microbiology Reviews 21, 626638.Google Scholar
Figure 0

Table 1. List of primers and probes used in this study

Figure 1

Table 2. Intestinal parasites in stool samples from the department of parasitology at La Timone hospital, Marseille (n = 643) as detected with microscopy and qPCR

Figure 2

Fig. 1. Results obtained after quantification by qPCR. The curve representing the number of gene copies, as a function of qPCR Ct values, in positive samples for each of the eight enteric parasites tested.

Figure 3

Fig. 2. Phylogenetic relationship between the SSD rDNA sequence of Blastocystis. The molecular phylogenetic analysis was carried out using the Maximum Likelihood method based on the Tamura–Nei model. ST, subtype; (n): patient number in case of multiple samples.