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Abstract
Intestinal parasitic diseases occur worldwide and can cause diarrhea or gastroenteritis; however, their diagnosis is quite difficult, especially in low-endemism countries. We developed a multiplex real-time PCR assay for detection of eight intestinal parasites and prospectively evaluated it for patients with gastroenteritis. The assay targeted Cryptosporidium parvum, Giardia lamblia, Entamoeba histolytica, Blastocystis hominis, Dientamoeba fragilis, Clonorchis sinensis, Metagonimus yokogawai, and Gymnophalloides seoi. Performance characteristics were evaluated based on recovery after DNA extraction, analytical sensitivity, specificity, reproducibility, cross-reactivity, and interference characteristics. Clinical performance was validated against microscopy on 123 diarrheal samples. The assay demonstrated strong correlations between DNA concentrations and Ct values (R2, 0.9924–0.9998), and had a high PCR efficiency (83.3%–109.5%). Polymerase chain reactions detected as few as 10–30 copies of genomic DNA, and coefficient of variance was 0–7%. There was no cross-reactivity to the other 54 microorganisms tested. Interference occurred only in presence of high concentrations of erythrocytes or leukocytes. This assay had a higher correct identification rate (100.0% vs. 90.2%) and lower incorrect ID rate (0.0% vs. 9.8%) when compared to microscopy. Overall, this assay showed a higher sensitivity (100.0%; 95% confidence interval [CI] of 80.5–100.0) than microscopy (29.4%; 95% CI 10.31–55.96), and the specificity levels were comparable for both methods (100.0%; 95% CI 96.58–100.0). This newly developed multiplex real-time PCR assay offers a potential use for detecting intestinal parasitic pathogens customized to the Korean population.
Citation: Won EJ, Kim SH, Kee SJ, Shin JH, Suh SP, Chai JY, et al. (2016) Multiplex Real-Time PCR Assay Targeting Eight Parasites Customized to the Korean Population: Potential Use for Detection in Diarrheal Stool Samples from Gastroenteritis Patients. PLoS ONE 11(11): e0166957. https://doi.org/10.1371/journal.pone.0166957
Editor: Mark Spigelman, Hebrew University, ISRAEL
Received: April 29, 2016; Accepted: November 6, 2016; Published: November 18, 2016
Copyright: © 2016 Won et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: This study was supported by the Leading Foreign Research Institute Recruitment Program (No. 2011-0030034), through the NRF, funded by the Ministry of Education, Science and Technology (MEST), with additional grant support from the National R&D Program for Cancer Control, Ministry of Health & Welfare, Republic of Korea (No. 2013-1320070).
Competing interests: The authors have declared that no competing interests exist.
Introduction
Intestinal parasitic diseases have been detected among the populations of all countries, and the World Health Organization estimates that 3.5 billion people worldwide are infected with some type of an intestinal parasite [1]. In humans, infection with an intestinal parasite can be asymptomatic, but some cases present with diarrhea and other signs of gastroenteritis. In contrast to bacterial or viral pathogens, it is not easy to diagnose the parasitic pathogen responsible for a diarrhea case. Microscopic examination of stool samples for the detection of cysts, oocysts, and trophozoites remains the diagnostic method of choice for many laboratories [2]; however, the method requires technical expertise, and it is laborious; it can also be insensitive at low levels of infection. Meanwhile, molecular approaches involving polymerase chain reaction (PCR) are becoming increasingly available for detecting intestinal parasites, and these molecular methods demonstrate excellent sensitivity and specificity with respect to conventional methods such as microscopy [3].
The most common etiological causes of intestinal infections are species of Cryptosporidium, Blastocystis and Entamoeba, as well as Giardia lamblia and Dientamoeba fragilis in a worldwide basis [4]. However, the frequency of parasitic disease could be variable according to the region studied. In Korea, it is known that Clonorchis sinensis and Metagonimus yokogawai are the most common intestinal parasites [5, 6], and Gymnophalloides seoi from infected oysters is also frequently found in southern coastal areas and causes gastroenteritis after ingestion [7, 8]. Thus, this study aimed i) to develop a multiplex qPCR assay for eight major intestinal parasites known to cause gastroenteritis in the Korean population, and ii) to validate this assay against conventional microscopy using diarrheal stool samples obtained from patients with gastroenteritis in Korea.
Materials and Methods
Primer design
The major parasites causing gastroenteritis selected for this study were: Five protozoa including Cryptosporidium parvum, Giardia lamblia, Entamoeba histolytica, Blastocystis hominis, Dientamoeba fragilis, and three trematodes including Clonorchis sinensis, Metagonimus yokogawai, and Gymnophalloides seoi. The target genes of each parasite were available from GenBank and were selected as follows (S1 Table): The 18S rRNA genes of B. hominis (GenBank: EU482085.1), E. histolytica (GenBank: X65163.1), and D. fragilis (GenBank: JQ677163.1); Cryptosporidium oocyst wall protein gene of C. parvum (GenBank: AB089292.1); beta-giardin gene of G. lamblia (GenBank: XM_001705373.1); and cytochrome c oxidase subunit 1 regions of G. seoi (GenBank: AF096234.3), M. yokogawai (GenBank: AB470519.1), and C. sinensis (GenBank: FJ381664.2), respectively. The sets of primers were designed using Primer 3 software (http://frodo.wi.mit.edu/primer3/). Each primer for amplification was selected with size ranging from 18 to 27 base pairs (optimally 20 base pairs), melting temperature ranging from 50°C to 58°C, and GC content ranging from 36% to 50%.
Amplification, TA cloning, and clone screening for positive control
PCR amplifications were performed using conventional real-time thermo cycler platform, CFX96 (Bio-Rad, Hercules, CA, USA) and a 20 μL reaction volume containing 10 μL of parasite reaction mixture (1 unit of Hot start Taq polymerase, each 2 mM of dNTPs, 40 mM of Tris-Cl, 100 mM KCl, 0.02% Tween 20, 6 mM of MgCl2), each 1 μL of primers (forward and reverse, 10 pmol/μL), and 3 μL of genomic DNA of parasite (1 ng/μL), and 5 μL of deionized water. The PCR reaction was established by gradient annealing using G. seoi and C. sinensis as follows: pre-denaturing at 95°C for 10 min, 35 cycles of denaturation at 95°C with 30 sec, gradient annealing from 70°C to 50°C for 30 sec, and extension at 72°C with 30–60 sec and final extension at 72°C for 10 min. Prior to subsequent TA cloning or sequencing procedure, PCR product purification was performed according to the manufacturer’s manual (GeneAll Biotechnology, Cat.#103–150, Seoul, Korea), and was run on 1.5% agarose gel (0.5X TBE buffer, 250 V, 30 min). Purified PCR products were cloned via a commercially available T&A Cloning Vector Kit (Cat.#RC013, Real Biotech Corporation, Banqiao City, Taiwan). The positive control plasmids containing 380 bp PCR products for G. seoi, 511 bp PCR products for B. homins, 533 bp PCR products for C. parvum, 464 bp PCR products for G. lamblia, 540 bp PCR products for E. histolytica, 360 bp PCR products for M. yokogawai and C. sinensis were constructed by a commercially available T&A Cloning Vector Kit (Cat.#RC013, Real Biotech). Positive transformants carrying the vector were ampicillin resistant, and the clones with the inserted DNA fragment grew into white colonies on solid media containing X-gal (with IPTG) and ampicillin. Colony PCR was performed on the white colonies to screen for clones containing the inserted target gene after extracting DNA using a plasmid mini prep kit (GeneAll Biotechnology), and according to the manufacturer’s protocol. To check whether the target genes were inserted in colony plasmids, we performed the PCR again with the same primers and PCR reaction mixtures as aforementioned. As a representative example, in S1 Fig, the PCR products from E. histolytica target sequences obtained from 12 cloned colonies and their sequencing results are shown.
Determining the optimized probes for multiplex qPCR
To optimize the probes for multiplex qPCR, PCR was performed using 10 μL of parasite reaction mixture, primer and probe mixture including each 500 nM of primers (forward and reverse) and 250 nM of probe, and 5 μL of positive controls for parasite (100 fg). PCR conditions were as follows: 50°C for 2 min, 95°C for 10 min, and 45 cycles of denaturation at 95°C with 15 sec, annealing at 60°C for 1 min, extension at 72°C with 30 sec. The proper combination of primers and probes was determined by the cycle threshold (Ct) values.
PCR efficiency test
PCR reactions were performed 6 times using 10-fold dilutions of genomic DNA from 100 fg to 10 ag. The value of slope was determined by equation of the correlation between the DNA contents and their Ct values. PCR efficiency (%) was calculated by the below equations or using the efficiency calculator at the Life Technologies website (Carlsbad, CA, USA) (https://www.lifetechnologies.com/kr/ko/home/brands/thermo-scientific/molecular-biology/molecular-biology-learning-center/molecular-biology-resource-library/thermo-scientific-web-tools/qpcr-efficiency-calculator.html.)
Analytical sensitivity and precision test
Total DNA from sample containing 3 × 108 clones/mL approximately were diluted in 10-fold increments from 100 pg to 10 ag for evaluating analytic sensitivity as the limit of detection (LoD). Each 100 ag of parasite DNA was considered as LoD with a minimum of 30 copies. For data analysis, the melting curve and Ct values were selected as evaluation parameters. Tests were repeated 24 times to validate precision by calculation of coefficients of variation (CV). The value of LoD was determined as the concentration of positive samples that produced a positive signal 95% of the time according to the EP17-A, CLSI guidelines [9].
Cross-reactivity and interference test
Genomic DNA of 54 pathogens including 27 bacteria/candida, 11 parasites, and 16 viruses were screened for cross-reactivity. Interference effect was also evaluated according to various concentrations of the major compounds, such as erythrocytes (0–20%), leukocytes (0–20%), bilirubin (0–2 μg/mL), bile salts (0–1 mg/mL), heparin (0–0.2 IU), acetaminophen (0–200 μg/mL), and ibuprofen (0–200 μg/mL), respectively. After DNA extraction, the PCR procedure was performed as above. Every test was repeated 4-times for each parasite.
Validation of the multiplex qPCR assay with conventional microscopy and using gastroenteritis stool samples
A total of 123 fresh, unpreserved stool samples were tested. The study cohort consisted of (i) diarrheal stool samples obtained from patients with gastroenteritis at Chonnam National University Hospital (n = 117), and (ii) positive samples (n = 6) prepared by mixing stool samples from healthy controls (for the purpose of laboratory quality control) with ova or cysts of the parasites G. lamblia (n = 2), E. histolytica (n = 2), or G. seoi (n = 2). Samples were analyzed within 12 h by conventional microscopic method using formalin-ether concentration with additional special stains, if necessary (iodine stain, and modified acid fast stain). Briefly, the staining involved having 1 g fresh or formalinized feces suspended in 10 mL of 10% formalin in ParaTubes (KS Corporation, Sungnam, Korea), followed by centrifugation at 500 g for 1 min. After centrifugation, the inner tube with filtered debris was discarded. Then, 3 mL ethyl acetate was added to the cone-bottomed tube. The tube was centrifuged at 500 g for 10 min, the supernatant decanted, and the top plug of the debris rimmed with an applicator stick. The remaining sediment was diluted in a few drops of 10% formalin and 20 μL was placed onto a slide for parasite examination. For multiplex qPCR assay, total DNA from 200 mg of each stool sample was extracted with a DNA stool minikit (Qiagen, Hilden, Germany) and eluted in a final volume of 200 μL according to the manufacturer’s recommendations. PCR amplifications were performed using a CFX96 RT-PCR system (Bio-Rad) and a 20-μL reaction volume containing 10 μL of parasite reaction mixture, 5 μL of primer/probe mixture (each 500 nM of forward and reverse primers, 250 nM of probe) and 5 μL of DNA solution. The PCR proceeded as follows: pre-denaturing at 95°C for 10 min, 45 cycles of denaturation at 95°C with 15 sec, annealing and elongation at 60°C with 1 min [10]. Final identification was made to i) concordant results between two results obtained from multiplex PCR and conventional microscopy, and ii) sequencing result using individual primers when discordant results were obtained between the two methods. Determination of correct or incorrect identification results were based on this final identification.
Statistical analysis
Chi-square or Fisher exact test was performed to compare the performance of the multiplex qPCR with the conventional method. Pearson correlation coefficients were used to examine the correlation between the DNA contents and their Ct values. Student t-test was used for comparison of laboratory characteristics of gastroenteritis patients enrolled in this study. A P <0.05 indicated significance for all analyses. All statistical analyses were performed by using PASW version 18.0 (SPSS Inc., Chicago, IL, USA).
Ethics Statement
Collection of the fecal samples for this study was conducted in accordance with the guidelines and approval of the Institutional Review Board (IRB) of Chonnam National University Hospital (IRB CNUH-2015-052). Given the nature of the project, a waiver of consent was granted for the remaining samples, and no information was used that could lead to patient identification.
Results
Development of a multiplex qPCR assay for the major parasites causing gastroenteritis
All DNA samples for the eight parasites were obtained with clone screening. The DNA sequences were confirmed by sequencing and subsequent NCBI database 100% identity match with organism sequences from GenBank (S1 Table and S1 Fig). Optimized sequences of probes were determined by having Ct values of less than 30; the optimized combination of primers and probes are described in Table 1.
All of targets showed excellent correlation for DNA concentration and Ct values (R2, 0.9924–0.9998) along with high PCR efficiencies ranging from 83.3% to 109.5% (Table 2 and S2 Fig). The PCR method allowed detection of as few as 10 copies (30 ag) for G. lamblia, M. yokogawai, and about 30 copies (100 ag) for C. parvum, E. histolytica, D. fragilis, B. hominis, C. sinensis and G. seoi (Table 3). The CV values for the replicate experiments were below 10% (0%– 7%) for all eight parasites. No amplification was observed for DNA extracted from 54 other microorganisms (S2 Table). Interference analysis revealed that the DNA samples were identifiable under all test conditions, except those with a high concentration (20%) of erythrocytes or leukocytes and 0.2 IU of heparin (S3 Table).
Validation of performance of the multiplex qPCR assay on the major parasites causing gastroenteritis
Of 117 clinical diarrheal samples, B. hominis (n = 8, 6.8%) was the most frequently detected, followed by C. sinensis (n = 2, 1.7%), and C. parvum (n = 1, 0.9%). Among the 123 samples, which included six positive controls, the multiplex qPCR assay detected 17 samples containing parasites: 8 clinical samples of B. hominis, one of C. parvum, 3 of C. sinensis, and all 6 of the positive controls (G. lamblia, E. histolytica, and G. seoi) (Table 4 and Fig 1). The microscopic examinations detected 5 samples: one of C. sinensis, 2 of G. lamblia, and 2 of E. histolytica. Two positive samples of G. seoi, however, were not found by microscopy. The multiplex qPCR assay showed a higher correct identification rate than did the microscopic examination (100.0% vs. 90.2%, respectively; P = 0.003; Table 4). Moreover, incorrect results were obtained more frequently with microscopic examination than with the multiplex qPCR assay (9.8% vs. 0.0%, respectively). The multiplex qPCR assay exhibited a sensitivity of 100.0%; this statistic had a 95% confidence interval (CI) of 80.5–100.0. In addition, the multiplex qPCR assay exhibited a specificity of 100.0% (95% CI 96.58–100.0), a positive predictive value of 100.0% (95% CI 81.49–100.0), and a negative predictive value of 100.0% (95% CI 96.58–100.0). Microscopic examination exhibited a 29.4% sensitivity (95% CI 10.31–55.96), a 100.0% specificity (95% CI 96.58–100.0), a 100.0% positive predictive value (95% CI 47.82–100.0), and a negative predictive value of 89.8% (95% CI 82.91–94.63; Table 5).
A) Multiple reaction curves indicate amplification of the positive controls and clinical samples obtained from patients with gastroenteritis. B) Positive curves of two positive controls for Cryptosporidium parvum (tube 1) and Metagonimus yokogawai (tube 2) were observed in the Quasar 670 channel. Patient No. 106’s sample showed a positive curve within tube 1 according to Quasar 670 signals. C) Positive curves of two positive controls for Blastocystis hominis (tube 1), Entamoeba histolytica (tube 2), and Dientamoeba fragilis (tube 3) were observed in the VIC/HEX channel. Patient No. 112’s sample showed a positive curve within tube 1 according to the VIC/HEX signals. D) Positive curves of two positive controls for Gymnophalloides seoi (tube 1), Giardia lamblia (tube 2), and Clonorchis sinensis (tube 3) were observed in the FAM channel. Patient No. 35’s sample showed a positive curve within tube 3 according to FAM signals.
Discussion
Over the last decade, application of multiplex qPCR to detection of intestinal parasitic infections has compared favorably against microscopy in a variety of settings [11–13]. The present study developed a new multiplex qPCR assay for detection of parasites causing gastroenteritis, targeting the eight major pathogens that frequently occur in Korea: C. parvum, G. lamblia, E. histolytica, B. hominis, D. fragilis, C. sinensis, M. yokogawai, and G. seoi. This assay exhibited excellent linearity, high analytical sensitivity, and high analytical specificity. Moreover, clinical performance of the assay was validated on stool samples from patients with gastroenteritis in Korea.
The multiplex qPCR assay described in this study provides an alternative detection system for the most clinically important diarrhea-causing protozoa that cannot easily be found in stool microscopic examinations without special staining [14, 15]. Reports also indicate that parasite-specific DNA assays are more sensitive than microscopy or ELISA for detecting major intestinal protozoa such as C. parvum, G. lamblia, and E. histolytica [16–18]. Although both microscopy and qPCR assay could detect all positive controls for G. lamblia and E. histolytica, a specimen containing C. parvum was identified only by qPCR, but not by microscopy. In serial follow-up samples obtained from this AIDS patient over the subsequent three days, the qPCR assay could detect C. parvum in all three samples. However, microscopic examination with trichrome staining could find C. parvum only in the Day 3 sample. Like microscopy, a cryptosporidium antigen test by an enzyme-linked immunosorbent assay (ELISA; Ridascreen) could not detect C. parvum in the first submitted stool sample (data not shown). This makes the multiplex qPCR assay a sensitive detection method for globally significant protozoan pathogens.
It is notable that B. hominis was the most common agent observed in diarrhea specimens obtained from the gastroenteritis patients. Blastocystosis is generally associated with nonspecific symptoms such as diarrhea and abdominal pain [19]. Some researchers have suggested that Blastocystis species are associated with the irritable bowel syndrome [20, 21]. However, the pathophysiology of Blastocystis infections in Korea remains undefined, and highly sensitive quantitative tools would increase our understanding of Blastocystis infections. Elghareeb et al. found a wide range in diagnostic sensitivity between different Blastocystis detection methods [22]. Xenic in vitro cultures (XIVC) of Blastocystis exhibited a heightened positivity of 22.8%, compared to 12.3% with trichrome staining, 10.0% with formalin-ether concentration, 6.0% with an iodine-stained smear, and 3.5% with a direct smear [22]. Several PCR assays targeting the SSU rRNA gene have been previously developed for detection and discrimination among Blastocystis isolates directly in stool samples, and these assays have been more sensitive than XIVC [23]. The present study also supported this, finding that 6.8% of diarrheal samples were positive for Blastocystis according to the multiplex qPCR assay, whereas conventional microscopy with trichrome staining could not detect any such samples. We encourage further epidemiological and pathophysiological study of Blastocystis infections in Korea.
Several trematodes frequently found in the Korean population were included in the targets of this multiplex qPCR assay. Two samples with C. sinensis were identified using the multiplex qPCR, whereas one sample was missed using microscopy, irrespective of retesting. The diagnosis of this infection has mainly depended on detection of eggs in feces; however, this approach has poor sensitivity in cases of mild infection. It is also difficult to differentiate C. sinensis eggs from eggs of other parasitic trematodes with similar morphological characteristics, including Opisthorchis spp. and M. yokogawai. C. sinensis is carcinogenic in humans, and it was reclassified as a Group 1 biological carcinogen in 2009 [24]. Any evidence of clonorchiasis may lead to recommendation of chemotherapy in endemic areas. These results suggest that a precise diagnosis by multiplex qPCR may also be beneficial for patients infected with C. sinensis, which is the most common human liver fluke in Korea [25]. Moreover, this multiplex qPCR assay had a potential to detect trematodes other than C. sinensis, which present similar morphological characteristics of the eggs. Some researchers have developed PCR assays targeting C. sinensis and the other fish-borne trematodes such as Opisthorchis viverrini [26]. Instead of O. viverrini scarcely found in Korea, we focused on M. yokogawai, which is the most important heterophyid fluke with respect to general public health in Korea [27]. Although there were no cases of M. yokogawai in the submitted diarrheal specimens, we could expect the potential use of this assay considering that large and small rivers in the eastern and southern coastal areas of Korea were endemic foci of M. yokogawai infection [27, 28]. It is noteworthy that this is the first multiplex qPCR assay, as far as we know, to detect intestinal trematodes prevalent in Korea such as M. yokogawai and G. seoi using diarrheal specimens. G. seoi was first discovered in a Korean woman with acute pancreatitis and gastrointestinal discomfort in 1988 [7, 29]. In the southern to western coastal areas of Korea, the egg-positive rates of G. seoi are 9.3–24.1%, and the number of recovered parasite specimens is 37,489 in total (2,205 per person) [8]. Among the positive controls, two samples with G. seoi were identified with the multiplex qPCR assay, but not by microscopy. These presented Ct values of over 39 (39.79 and 39.14) in the qPCR assay and this could result in false negative by microscopy. According to the multiplex qPCR assay, the infection with G. seoi affects less than 1% of Korean patients with diarrhea. However, considering the high prevalence of G. seoi in Korea, the relation between G. seoi and various abdominal diseases needs to be further studied.
The advantage of this multiplex qPCR assay is sensitivity to Cryptosporidium, Blastocystis, and Dientamoeba without reliance on another diagnostic approach (such as modified acid-fast or trichrome staining). The LoDs for the parasites in this assay were found to range from 30–100 ag/μL. Because no eggs or larvae were detected by microscopy, we cannot say with certainty whether our failure to detect infections by microscopy was caused by low infection levels. A reasonable and biologically plausible alternative explanation is that qPCR can detect DNA at any lifecycle stage, whereas typical microscopy is optimized for detection of a single stage. For these reasons, qPCR may replace a large variety of species-specific microscopic methods. This assay also included an internal control to assess for possible inhibition of qPCR, and thereby identifying false negative samples.
This study had certain limitations. This study was to validate a newly developed multiplex qPCR assay targeting eight intestinal parasites using diarrheal samples obtained from gastroenteritis patients. Because of the small number of parasitic infections in the submitted specimens, the clinical validation might be not sufficient for M. yokogwai and D. fragilis. The current study could not find any evidence of D. fragilis infection in patients with diarrhea, although D. fragilis has been recently highlighted with possibility of pathogens present in irritable bowel syndrome [30]. The molecular diagnosis of this parasite has been recommended, as direct smear preparations are difficult due to the lack of a cyst stage and the permanent staining method is laborious and time-consuming [30]. Further research should be performed on a Korean population regarding the relation between D. fragilis infection and various abdominal diseases. Also, clinical performance to detect M. yokogawai should be further validated with a large number of patients including M. yokogawai-infected individuals and a long-duration study considering that prevalence of M. yokogawai infection could differ by season and geography. Furthermore, evaluation in a wide range of study cohorts including those with irritable bowel syndrome or inflammatory bowel diseases could be helpful for the application of this diagnostic in various clinical environments.
Multiplex qPCR may offer better sensitivity to intestinal parasitic infections than microscopic observations can offer. Laboratories using only microscopy to detect parasites may be missing up to 60% of positive cases, considering that the microscopy assays reported here detected only seven of 20 test-positive samples. This method represents a sensitive and specific assay for detecting gastrointestinal parasitism, with broad implications for community-based therapies and methods for assessing efficacy of treatment.
Supporting Information
S1 Fig. Representative figure for the cloning procedure to obtain positive controls of E. histolytica.
PCR products (517 bp size) obtained from 12 cloned colonies (A) and their sequencing results showing 100% match with sequences of E. histolytica (GenBank: X65163.1).
https://doi.org/10.1371/journal.pone.0166957.s001
(TIF)
S2 Fig. Plots of serial dilutions of genomic DNA for the eight parasites.
PCRs were performed on six 10-fold dilutions from 100 fg to 10 ag. Good correlations between the DNA concentration and the threshold cycle (Ct) values are seen.
https://doi.org/10.1371/journal.pone.0166957.s002
(TIF)
S1 Table. Details of amplification primers of the parasites for making positive controls.
https://doi.org/10.1371/journal.pone.0166957.s003
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S2 Table. Cross-reactivity test of the multiplex real-time PCR assay in relation to various microorganisms including 27 bacteria/candida, 11 parasites, and 16 viruses.
https://doi.org/10.1371/journal.pone.0166957.s004
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S3 Table. Interference analysis of different concentrations of interferents to positive controls.
https://doi.org/10.1371/journal.pone.0166957.s005
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S4 Table. Sensitivity and specificity of microscopic examination and multiplex qPCR in detection of the targeted parasites in this study.
https://doi.org/10.1371/journal.pone.0166957.s006
(PDF)
Acknowledgments
We like to thank Bong-Ju Kang, M.T., Eun Ju Choi, M. T., and Se-Jin Jeon, M.T. at the Department of Laboratory Medicine of Chonnam National University Hospital for their technical assistance.
Author Contributions
- Conceptualization: MGS.
- Data curation: EJW MGS.
- Formal analysis: EJW.
- Funding acquisition: MGS.
- Investigation: EJW.
- Methodology: EJW MGS.
- Project administration: EJW.
- Resources: EJW SHK SJK.
- Supervision: JHS SPS DWR JYC.
- Validation: EJW.
- Visualization: EJW.
- Writing – original draft: EJW.
- Writing – review & editing: MGS SHK SJK.
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