Next Article in Journal
Is There a Universal Endurance Microbiota?
Next Article in Special Issue
Probiotic Therapy with Lactobacillus acidophilus and Bifidobacterium animalis subsp. lactis Results in Infarct Size Limitation in Rats with Obesity and Chemically Induced Colitis
Previous Article in Journal
Effect of Indole-3-Acetic Acid on Tomato Plant Growth
Previous Article in Special Issue
Functional Gastrointestinal Disorders with Psychiatric Symptoms: Involvement of the Microbiome–Gut–Brain Axis in the Pathophysiology and Case Management
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Comparative Evaluation of Luminex xTAG® Gastrointestinal Pathogen Panel and Direct-From-Stool Real-Time PCR for Detection of C. difficile Toxin tcdB in Stool Samples from a Pediatric Population

1
Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 1C9, Canada
2
Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB T3B 6A8, Canada
3
Department of Pediatrics, Women and Children’s Health Research Institute, University of Alberta, Edmonton, AB T6G 1C9, Canada
4
Alberta Precision Laboratories: Public Health Laboratory, Edmonton, AB T6G 2J2, Canada
5
Sections of Pediatric Emergency Medicine and Gastroenterology, Departments of Pediatrics and Emergency Medicine, Alberta Children’s Hospital Research Institute, Alberta Children’s Hospital, Cumming School of Medicine, University of Calgary, Calgary, AB T3B 6A8, Canada
*
Author to whom correspondence should be addressed.
Microorganisms 2022, 10(11), 2214; https://doi.org/10.3390/microorganisms10112214
Submission received: 11 October 2022 / Revised: 4 November 2022 / Accepted: 7 November 2022 / Published: 9 November 2022
(This article belongs to the Special Issue The Role of the Gut Microbiota in Human Health and Disease)

Abstract

:
Detection of Clostridioides difficile toxins in patients with gastroenteritis has increasingly been accomplished through the use of enteric multiplex syndromic panels. Comparisons of the performance of these panels to both direct-from-stool (DFS) and culture-enriched stools followed by polymerase chain reaction (PCR) methods in pediatric populations are limited. Here, we compare the performance of the Luminex xTAG® Gastrointestinal Pathogen Panel (GPP) to our DFS in-house real-time PCR (DFS RT-PCR) assay for the detection of C. difficile toxin gene, tcdB, using 2641 stool specimens collected from children enrolled in the Alberta Provincial Pediatric EnTeric Infection Team (APPETITE) study in Alberta, Canada. We used culture enrichment followed by in-house RT-PCR to resolve discordant results between the two assays. We found excellent agreement (k = 0.89) between the GPP and our DFS RT-PCR assay: the positive percent agreement between the two assays was 97%, and the negative percent agreement was 99%. GPP, a multi-analyte platform can easily be implemented into a routine diagnostic laboratory for detecting enteric pathogens including C. difficile.

1. Introduction

Clostridioides difficile is an anaerobic, spore-forming, toxin-producing, Gram-positive bacillus bacterium. Infection with C. difficile can result in gastrointestinal symptoms, including diarrhea, pseudomembranous colitis, and toxic megacolon [1]. These symptoms are largely due to the presence of C. difficile virulence factors such as toxin A (TcdA), toxin B (TcdB), and/or the binary toxin (CDT) [1,2]. The virulence genes, tcdA and tcdB are encoded by the pathogenicity locus, while the cdt genes are encoded by the binary toxin locus. Strains that lack the toxin genes are considered non-pathogenic [1].
Historically, cell culture cytotoxicity neutralization assays have been used for the detection of C. difficile. However, this method is labour-intensive, has a long turnaround time, and is not cost-efficient. Currently, the majority of diagnostic laboratories have switched to enzyme immunoassay (EIA) for the detection of C. difficile toxins [3], or nucleic acid amplification tests (NAAT) with DNA extracted directly from stool samples which offer greater detection sensitivity [3,4,5,6,7]. Automated multiplex syndromic panels utilizing polymerase chain reaction (PCR) to detect multiple pathogens simultaneously within a few hours [6,7,8] have been implemented in the majority of high-volume frontline diagnostic laboratories. Multiplex panels have been evaluated for their detection of C. difficile toxin gene targets [8,9,10,11,12,13,14,15], but primarily in adult cohorts [8,12,13,16].
In this study, we evaluated the diagnostic characteristics of an in-house direct-from-stool real-time PCR (DFS RT-PCR) assay for C. difficile tcdB detection and compared performance between the DFS RT-PCR and the Luminex xTAG® Gastrointestinal Pathogen Panel (GPP) (Luminex Corporation, Toronto, ON, Canada), a multiplex gastrointestinal syndromic panel, for the detection of tcdB using stool samples previously enrolled in the Alberta Provincial Pediatric EnTeric Infection Team (APPETITE) study in Alberta, Canada [17]. Additionally, we employed an enrichment culture approach to further characterize the differences observed between tcdB detection by DFS RT-PCR and GPP.

2. Materials and Methods

2.1. Clinical Samples

A total of 2641 stool samples included in this study were collected from children (≤17.99 years old) enrolled in the Alberta Provincial Pediatric EnTeric Infection TEam (APPETITE) study from two major cities in Alberta, Canada and were stored at −70 °C [17]. This study was approved by the ethics boards of the University of Alberta (Approval code: Pro00050790, Approval Date: 2014) and the University of Calgary (Approval code: REB14-1112, Approval Date: 2014).

2.2. Nucleic Acid Extraction

Aliquots of liquid stool (100 μL) or solid stool (100–150 mg) were suspended in 1 mL of NucleiSENS® Lysis Buffer (bioMérieux, Montreal, QC, Canada) in a Bertin Corp SK38 Soil grinding lysis bead tube (ESBE Scientific, Saint-Laurent, QC, Canada), and vortexed for ten minutes. Samples were then incubated at room temperature for 15 min and then centrifuged at 15,871× g for five minutes. Nucleic acid was then extracted from 200 μL of lysate via NucleiSENS® easyMAG® instrument (bioMérieux, Montreal, QC, Canada). Following extraction, 70 μL of the eluate was collected and stored at −70 °C [18].

2.3. Molecular Testing

The Luminex xTAG® GPP is a multi-analyte platform targeting 15 enteric pathogens: Shigella spp., Salmonella spp., Yersinia enterocolitica, Campylobacter spp., Vibrio cholerae, Shiga-toxin producing Escherichia coli, enterotoxigenic E. coli, E. coli O157, adenovirus 40/41, rotavirus A, norovirus GI/GII, Giardia lamblia, Entamoeba histolytica, Cryptosporidium spp., and C. difficile toxin A/B [8]. Nucleic acid extracts of all stool samples (n = 2641) were tested using the GPP as per the manufacturer’s instructions.
Based on the results of our previous investigation in the APPETITE study (data not shown), the samples tested by GPP were either tcdA and tcdB positive or only tcdB positive. Consequently, only the target for tcdB was used in this study for DFS RT PCR on the same nucleic acid extracts prepared for the GPP assay. Five μL of extracted nucleic acid was used as template in the PCR assay in a total volume of 25 μL. The primers and probe for tcdB were developed by Kubota et al. [19] (Table 1). Singleplex RT-PCR assays for tcdB were performed using the Applied Biosystems 7500 Fast instrument (Thermo Fisher Scientific, Waltham, MA, USA) with 5 μL template DNA, 222 nM forward and reverse primers, 333 nM probe, and 1× PrimeTime® Gene Expression Master Mix (Integrated DNA Technologies, Skokie, IL, USA) in a final volume of 25 μL, and with the following amplification conditions: 1 cycle (95 °C × 20 s), 40 cycles (95 °C × 3 s, 60 °C × 30 s). DNA extracted from a toxigenic C. difficile strain was used as positive control for tcdB detection in addition to a no-template control for all RT-PCR assays.

2.4. Assessment of In-House tcdB RT-PCR

To determine the analytical specificity of the tcdB DFS RT-PCR, a panel of bacteria (Supplementary Table S1) was obtained from the Alberta Precision Laboratories-Provincial Laboratory for Public Health (ProvLab) Quality Control Department (Edmonton, AB, Canada). These organisms were grown in their respective culture media under appropriate growth conditions. Nucleic acid was extracted by suspending a single colony of bacteria in 100 μL rapid lysis buffer (100 mM NaCl, 10 mM Tris-HCl pH 8.3, 1 mM EDTA pH 9.0, 1% Triton X-100) and incubated for 15 min at 95 °C using a VWR Standard Heatblock (VWR Scientific, Mississauga, ON, Canada). Following incubation, the cell suspension was subjected to centrifugation of 13,000× g for 15 min and the supernatant containing extracted nucleic acid was removed and stored at −70 °C until used.
The analytical sensitivity of the RT-PCR was determined using serial dilutions of a toxigenic C. difficile strain isolated from a clincal specimen. The isolate was grown on Brain Heart Infusion (BHI) agar (ProvLab, Edmonton, AB, Canada) and a sweep of the culture was added to BHI broth and incubated for 6 h at 35 °C. The broth was then diluted to an optical density of 0.4, and ten-fold serial dilutions from 10−1 to 10−8 were prepared. Aliquots of 100 μL from dilutions 10−5 and 10−6 were inoculated onto BHI agar (ProvLab, Edmonton, AB, Canada) in triplicates and incubated for 48 h in anaerobic conditions to numerate the colony forming units/mL (CFU/mL), and RT-PCR was performed for all dilutions of cell suspensions using nucleic acids extracted by the NucleiSENS® easyMAG® instrument (bioMérieux) as outlined in Section 2.2, with the modification of using 200 µL of cell suspension in 800 µL of NucleiSENS® Lysis Buffer (bioMérieux). Both the bacterial culture, to determine the CFU/mL, and the RT-PCR assays (both performed in triplicates) were repeated in 10 different experiments on separate days to establish the reproducibility of the assay. The limit of detection was determined based on the results of the sensitivity assay as described above. The positive cut-off for the RT-PCR assay was set to the Ct value obtained where a positive amplification curve was seen in 95% of the PCR runs in 10 replicates (Supplementary Table S2).

2.5. Preparation for Stool Specimens for Culture Enrichment

Enrichment of C. difficile by culture was only performed for stool samples with discordant GPP and in-house RT-PCR results (Figure 1). Stool samples were prepared by suspending 250 μL liquid stool in 250 μL 1× phosphate-buffered saline (PBS) or ~100 mg solid stool in 500 μL 1× PBS. Alcohol shock and selective media were used to improve C. difficile culture in the stool. A 500 μL of 95% ethanol was added to the stool suspension. The mixture was vortexed until homogenized, incubated at room temperature for 35 min and centrifuged at 1150× g for 5 min. The pellet was swabbed using a sterile cotton swab and inoculated into Hardy Diagnostics C Diff Banana Broth™ (Micronostyx, Ottawa, ON, Canada), and incubated at 35 °C for 24 to 72 h. For broths that underwent a colour change from yellow to red (indicative of bacterial growth) after enrichment, 100 μL of broth was added to 1 mL NucleiSENS® Lysis Buffer (bioMérieux) in a Bertin Corp SK38 soil grinding lysis bead tube for nucleic acid extraction as described in Section 2.2. It can be assumed that samples which tested positive by both assays would test positive using in-house RT-PCR after C. difficile broth post enrichment (PE), and samples which tested negative by both assays would test negative by PE RT-PCR. Consequently, the diagnostic sensitivity and specificity of GPP and DFS in-house RT-PCR were calculated using the discordant sample results obtained by PE RT-PCR (i.e., using this method to resolve results as either true positives or true negatives) [20].

2.6. Statistical Analysis

The significance of the difference in the results of the same samples tested by both GPP and DFS in-house RT-PCR was assessed using McNemar analysis (α = 0.05). Comparison of the two assays was summarized using two parameters: (1) positive percent agreement (PPA) calculated as 100% × [(a)/(a + c)], where a = the number of samples tested positive by both assays and c = the number of samples that tested positive by DFS in-house RT-PCR and negative by GPP, and (2) negative percent agreement (NPA), calculated as 100% × [(b)/(b + d)], where b = the number of samples that tested negative by both assays, and d = the number of samples tested negative by DFS in-house RT-PCR and positive by GPP [20]. The overall agreement of GPP and the in-house RT-PCR were analyzed with Cohen’s Kappa. We defined kappa scores of 0.6 to 0.69 as moderate, 0.7 to 0.8 as good and above 0.8 as excellent agreement [21]. The Ct values of the DFS RT-PCR of the samples tested positive for C. difficile between participants with acute gastroenteritis and those with no gastroenteritis, and between participants who were <2 years and those ≥2 years, as C. difficile more often represents colonization (i.e., not infection) in young children [22] were compared using Mann–Whitney U test. Fisher’s exact test was used to evaluate whether the frequency of concordance varied by participant age using 2 years as the cut-off. Statistical significance was set at p < 0.05 and analyses were performed using RStudio (Version 1.3.1073, Boston, MA, USA).

3. Results

In the specificity panel for tcdB RT-PCR assay only C. difficile was positive for the tcdB gene and no cross reactivity was observed with the other organisms in the specificity panel (Supplementary Table S1). The results from the sensitivity panel indicated that the limit of detection is 104 colony forming units (CFU)/mL and we established the Ct cutoff value of our assay at 35 (Supplementary Table S2).
GPP testing and DFS RT-PCR were performed on 2641 clinical stool samples. Of the 2641 stool samples tested by GPP, 74 (2.8%) toxin-positive C. difficile samples were detected based on the presence of the tcdB target. Sixty-one (2.3%) samples were both GPP positive and DFS RT-PCR positive for tcdB, while 13 (0.5%) samples were GPP positive for tcdB but were negative by DFS RT-PCR. Conversely, 2565 samples (97.2%) were both GPP negative and DFS RT-PCR negative for tcdB, and two samples (0.1%) were GPP negative for tcdB but were tested positive for tcdB by DFS RT-PCR (Figure 1). In total, fifteen (0.6%) of the samples tested yielded discordant results between the GPP and DFS RT-PCR. Discordance was more likely to be GPP positive/DFS RT-PCR negative than GPP negative/DFS RT-PCR positive.
The agreement between DFS RT-PCR and GPP was excellent [k = 0.89, 95%CI (0.83, 0.94)]. The PPA between DFS RT-PCR and GPP was 96.8% [95% CI (89.0%, 99.6%)], while the NPA between DFS RT-PCR and GPP was 99.5% [95% CI (99.1%, 99.7%)]. McNemar analysis comparing the results of the GPP and DFS RT-PCR demonstrated that the difference between the two tests was significant (p = 0.0098).
With the addition of a culture enrichment and repeat RT-PCR, twelve of the thirteen (92.3%) GPP positive/DFS RT-PCR negative discordant samples were resolved after enrichment by culture, while one sample (7.7%) remained negative (Table 2). Both of the discordant GPP negative/DFS RT-PCR positive samples tested positive following culture enrichment (Table 2 and Figure 1). After the discordant samples were resolved using culture-enriched RT-PCR, we determined that the analytical sensitivity and specificity of GPP was 97.3% (95% CI [90.7%, 99.7%] and 100% (95% CI [99.8%, 100%] and of DFS RT-PCR was 84.0% (95% CI [73.7%, 91.4%]) and 100% (95% CI [99.9%, 100%], respectively.
Overall, PE RT-PCR Ct values among the discordant samples were improved as compared to the DFS RT-PCR Ct values before culture enrichment (Figure 2, Supplementary Table S3).
Only discordant samples that produced Ct values in both DFS RT-PCR and PE RT-PCR were included (n = 13). The cut off Ct values of the RT-PCR assay is at 35. All samples Ct values showed an average decrease of 12 cycles following PE RT-PCR except sample 2 (dashed line) and sample 9 (dotted line), which showed minimal changes in the Ct values. These 2 samples were tested negative for GPP assay but positive for DFS RT-PCR before culture enrichment.
There was no significant difference in terms of Ct values of DFS RT-PCR between 40 participants with acute gastroenteritis (median 27.6, interquartile range: 26.6–30.9) and the 22 without gastroenteritis (median 28.3, interquartile range: 25.2–31.6). The Ct values of DFS RT-PCR of the participants <2 years were significantly lower than those ≥2 years, (median 27.6 interquartile range: 26.2–30.9 and median 32.6, interquartile range: 31.8–33.4, respectively, p < 0.001). The frequency of concordance samples did not differ significantly between children age <2 and ≥2 years [99.3% (1597/1607) vs. 99.7% (1029/1032); p = 0.18].

4. Discussion

Our in-house RT-PCR assay targeting the tcdB gene has a sensitivity of 104 CFU/mL (Supplementary Table S2) and showed no cross reactivity with any of the organisms included in the specificity panel (Supplementary Table S1). The correlation between DFS RT-PCR and GPP was excellent [k = 0.89, 95%CI (0.83, 0.94)]. By using DFS RT-PCR for comparison with GPP results, we found high positive and high negative agreement between the two tests for toxigenic C. difficile detection. Our findings of a PPA of 97% and NPA of 99% align with previous studies comparing percent agreements for detection of C. difficile toxins when conventional microbiological methods were used as reference standards for comparison with the GPP [23].
Despite the high agreements between the two assays, there was a significant difference in the results obtained by DFS RT-PCR and the GPP. Discordance between the tests was primarily observed in samples that tested GPP positive but DFS RT-PCR negative. Overall, 15 discordant samples (Figure 1) were identified, and these were alcohol shocked and enriched in C Diff Banana Broth™ to determine if the discordance observed was potentially due to differences in bacterial load. The results generated from the extracted DNA as template for PE RT-PCR showed an average difference of 12 cycles with lower Ct value using PE RT-PCR, suggesting an increase in target concentration of almost 4000-fold (Figure 2 and Supplementary Table S3). These findings supported that the alcohol shock followed by broth enrichment enhanced the culture of C. difficile [24,25] resulting in the decrease of Ct values in the RT-PCR assay as compared with using stool samples directly (Figure 2). However, two samples did not follow the overall trend. The Ct value of Sample 9 tested using PE RT-PCR was similar to the Ct value of DFS RT-PCR after the alcohol shock enrichment treatment, whereas, for Sample 2, the PE RT-PCR Ct value was higher than the DFS RT-PCR by 2 (Ct 24.96 to Ct 27.11) (Figure 2 and Supplementary Table S3). This indicated that there was likely minimal effect of the alcohol shock enrichment on these two stool samples. Interestingly, both Sample 2 and Sample 9 tested negative by GPP and positive by DFS RT-PCR. These results further support the assumption that both results are true positive even though there were very minor differences in the RT-PCR results with direct-from-stool and enriched culture post alcohol shock treatment. As for Sample 15 which was GPP positive/DFS RT-PCR negative, it still tested negative by PE RT-PCR suggesting that it was a false positive by the GPP assay. Alternatively, this discordance between the GPP and DFS RT-PCR could be the result of sampling error used for the shock enrichment or contamination during the GPP run [26]. Interestingly, the rate of false positivity of GPP we detected in our study (1/2641) was much lower than that of the false negative results generated by DFS RT-PCR (12/2641) suggesting that false positivity is less of an issue for the GPP assay targeting C. difficile.
In this study, nucleic acid degradation during storage between testing by the GPP and DFS RT-PCR assays might have contributed to the discordance between the two assays. All the nucleic acid extracts were stored at −70 °C but unfortunately, they were not aliquoted as “one-time-use” samples and were subjected to freeze–thawed cycles for different testing. The freeze–thawed cycles may have affected the integrity of the nucleic acid and resulted in false negatives in the RT-PCR results. Based on the level of detection of the RT-PCR, the cutoff Ct value of the assay is at 35, and all the discordant samples except for samples 2 and 9, are considered as DFS RT-PCR negative/indeterminate as shown in Supplementary Table S3. However, the sensitivity of the in-house RT-PCR assay did improve after the alcohol shock-enrichment treatments.
Interestingly, there was no difference in Ct values of DFS RT-PCR between participants who had acute gastroenteritis as compared to control patients with no gastroenteritis. On the other hand, children < 2 years, more likely to be only colonized with C difficile, had lower Ct values suggesting that the copies of toxin genes in their stool samples were higher than older children who would more likely be infected with C difficile. However, only 2 children in our study were ≥2 years; more studies with a larger sample size are needed to clarify this point. The frequency of concordance was similar for the two age groups. Another limitation of the study is the limited amount of samples collected from each individual enrolled. Since the participants were young children and the amounts of stool collected were very limited, this did not allow us to retrieve the original samples that have discordant results to have further investigation. Additionally, we only used alcohol shocked culture enrichment on samples with discordant results between the GPP and DFS RT-PCR. It is plausible that some stools contained toxigenic C. difficile but tested negative by GPP and in-house RT-PCR assays because of low bacterial load, and culture enrichment is required to detect such cases, thus the calculated sensitivity of the two assays might have been inflated. Furthermore, the majority of our samples tested negative, and only 2.8% were positive when retested after alcohol shock and culture enrichment. This low positivity rate for tcdB may have skewed our percent agreement calculations. There is also potential for sampling error in our study due to the specific aliquot of stool chosen from each sample and the low volume of sample (200 μL of a 1/10 dilution of stool sample and eluted with 70 μL buffer) and 5 μL of extracted DNA was used for both GPP and DFS RT-PCR assays. While other studies have compared GPP to other methods of detection for C. difficile and other pathogens in several populations [8,10,11,14,15], this study is unique because it included the use of PCR following an enriched culture method to characterize the difference in performance between the two assays on stools collected from a pediatric population.

5. Conclusions

In conclusion, the Luminex xTAG® GPP and our DFS in-house RT-PCR had high agreements for the detection of C. difficile toxin gene, tcdB with a PPA of 97% and a NPA of 99%. Multianalyte panels such as the Luminex xTAG® GPP are high volume testing platforms with rapid turnaround times, no special setup, and are less labour intensive while providing identification of multiple different enteric pathogens [7,8]. This assay can easily be implemented in frontline microbiology laboratories and provides a rapid tool in making a diagnosis for enteric pathogens including C. difficile. However, our in-house DFS RT-PCR assay can also be used to detect toxigenic C. difficile, which is especially useful in a research setting as it is both sensitive and economical compared to the multianalyte panels or commercial assays available.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/microorganisms10112214/s1, Table S1: Specificity panel for real-time PCR; Table S2: Sensitivity panel for determining the limit of detection of tcdB RT-PCR; Table S3: Ct values for tcdB from in-house RT-PCR for GPP/ DFS RT-PCR discordant samples.

Author Contributions

Conceptualization, L.C.; methodology, H.T., C.D.L., S.B.N.M. and B.P.; formal analysis, H.T., L.C., J.X., C.D.L., R.Z. and S.B.N.M.; data curation, J.X., R.Z., H.T., S.B.N.M., C.D.L. and B.P.; writing—original draft preparation, H.T. and L.C.; writing—review and editing, S.B.N.M., C.D.L., B.P., T.S., S.B.F., B.E.L., R.Z. and X.-L.P.; supervision, L.C.; project administration, L.C.; funding acquisition, S.B.F., B.E.L., X.-L.P. and L.C. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Alberta Provincial Pediatric EnTeric Infection TEam (APPETITE), which was funded by a grant from the Alberta Innovates–Health Solutions Team Collaborative Research Innovation Opportunity. APPETITE is also supported through a partnership awards by the Alberta Children’s Hospital Research Institute (Calgary, AB, Canada) and the Women and Children’s Hospital Research Institute (Edmonton, AB, Canada). SBF is supported by the Alberta Children’s Hospital Foundation Professorship in Child Health and Wellness. The Pediatric Emergency Medicine Research Associate Program (PEMRAP) is supported by a grant from the Alberta Children’s Hospital Foundation. This study was also supported by Alberta Health Services Residual Funds. HT was supported by Alberta Innovates Summer Research Studentship; CL was the recipient of the Canada Graduate Scholarship, Walter H. Johns Graduate Fellowship and Women and Children’s Hospital Research Institute Graduate Studentship.

Institutional Review Board Statement

This study was approved by the ethics boards of the University of Alberta (Approval code: Pro00050790, Approval Date: 2014) and the University of Calgary (Approval code: REB14-1112, Approval Date: 2014).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Smits, W.K.; Lyras, D.; Lacy, D.B.; Wilcox, M.H.; Kuijper, E.J. Clostridium difficile infection. Nat. Rev. Dis. Primers 2016, 2, 16020. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Zhu, D.; Sorg, J.A.; Sun, X. Clostridioides difficile Biology: Sporulation, Germination, and Corresponding Therapies for C. difficile Infection. Front. Cell. Infect. Microbiol. 2018, 8, 29. [Google Scholar] [CrossRef] [Green Version]
  3. Burnham, C.-A.D.; Carroll, K.C. Diagnosis of Clostridium difficile infection: An ongoing conundrum for clinicians and for clinical laboratories. Clin. Microbiol. Rev. 2013, 26, 604–630. [Google Scholar] [CrossRef] [Green Version]
  4. Yalamanchili, H.; Dandachi, D.; Okhuysen, P.C. Use and Interpretation of Enteropathogen Multiplex Nucleic Acid Amplification Tests in Patients With Suspected Infectious Diarrhea. Gastroenterol. Hepatol. 2018, 14, 646–652. [Google Scholar]
  5. Bélanger, S.D.; Boissinot, M.; Clairoux, N.; Picard, F.J.; Bergeron, M.G. Rapid detection of Clostridium difficile in feces by real-time PCR. J. Clin. Microbiol. 2003, 41, 730–734. [Google Scholar] [CrossRef] [Green Version]
  6. Lotfian, S.; Douraghi, M.; Aliramezani, A.; Ghourchian, S.; Sarrafnejad, A.; Zeraati, H. Detection of Clostridium difficile in Fecal Specimens: A Comparative Evaluation of Nucleic Acid Amplification Test and Toxigenic Culture. Clin. Lab. 2016, 62, 1887–1892. [Google Scholar] [CrossRef] [PubMed]
  7. Anderson, N.W.; Tarr, P.I. Multiplex Nucleic Acid Amplification Testing to Diagnose Gut Infections: Challenges, Opportunities, and Result Interpretation. Gastroenterol. Clin. N. Am. 2018, 47, 793–812. [Google Scholar] [CrossRef] [PubMed]
  8. Claas, E.C.; Burnham, C.-A.D.; Mazzulli, T.; Templeton, K.; Topin, F. Performance of the xTAG® gastrointestinal pathogen panel, a multiplex molecular assay for simultaneous detection of bacterial, viral, and parasitic causes of infectious gastroenteritis. J. Microbiol. Biotechnol. 2013, 23, 1041–1045. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Navidad, J.F.; Griswold, D.J.; Gradus, M.S.; Bhattacharyya, S. Evaluation of Luminex xTAG gastrointestinal pathogen analyte-specific reagents for high-throughput, simultaneous detection of bacteria, viruses, and parasites of clinical and public health importance. J. Clin. Microbiol. 2013, 51, 3018–3024. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Stockmann, C.; Rogatcheva, M.; Harrel, B.; Vaughn, M.; Crisp, R.; Poritz, M.; Thatcher, S.; Korgenski, E.K.; Barney, T.; Daly, J.; et al. How well does physician selection of microbiologic tests identify Clostridium difficile and other pathogens in paediatric diarrhoea? Insights using multiplex PCR-based detection. Clin. Microbiol. Infect. 2015, 21, 179.e9–179.e15. [Google Scholar] [CrossRef] [Green Version]
  11. Khare, R.; Espy, M.J.; Cebelinski, E.; Boxrud, D.; Sloan, L.M.; Cunningham, S.A.; Pritt, B.S.; Patel, R.; Binnicker, M.J. Comparative evaluation of two commercial multiplex panels for detection of gastrointestinal pathogens by use of clinical stool specimens. J. Clin. Microbiol. 2014, 52, 3667–3673. [Google Scholar] [CrossRef] [PubMed]
  12. Albert, M.J.; Rotimi, V.O.; Iqbal, J.; Chehadeh, W. Evaluation of the xTAG Gastrointestinal Pathogen Panel Assay for the Detection of Enteric Pathogens in Kuwait. Med. Princ. Pract. 2016, 25, 472–476. [Google Scholar] [CrossRef] [PubMed]
  13. Wessels, E.; Rusman, L.G.; Van Bussel, M.J.A.W.M.; Claas, E.C.J. Added value of multiplex Luminex Gastrointestinal Pathogen Panel (xTAG® GPP) testing in the diagnosis of infectious gastroenteritis. Clin. Microbiol. Infect. 2014, 20, O182–O187. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Beckmann, C.; Heininger, U.; Marti, H.; Hirsch, H.H. Gastrointestinal pathogens detected by multiplex nucleic acid amplification testing in stools of pediatric patients and patients returning from the tropics. Infection 2014, 42, 961–970. [Google Scholar] [CrossRef] [Green Version]
  15. Onori, M.; Coltella, L.; Mancinelli, L.; Argentieri, M.; Menichella, D.; Villani, A.; Grandin, A.; Valentini, D.; Raponi, M.; Russo, C. Evaluation of a multiplex PCR assay for simultaneous detection of bacterial and viral enteropathogens in stool samples of paediatric patients. Diagn. Microbiol. Infect. Dis. 2014, 79, 149–154. [Google Scholar] [CrossRef] [PubMed]
  16. Becker, S.L.; Chatigre, J.K.; Gohou, J.P.; Coulibaly, J.T.; Leuppi, R.; Polman, K.; Chappuis, F.; Mertens, P.; Herrmann, M.; N’goran, E.K.; et al. Combined stool-based multiplex PCR and microscopy for enhanced pathogen detection in patients with persistent diarrhoea and asymptomatic controls from Côte d’Ivoire. Clin. Microbiol. Infect. 2015, 21, 591.e1–591.e10. [Google Scholar] [CrossRef] [Green Version]
  17. Freedman, S.B.; Lee, B.E.; Louie, M.; Pang, X.-L.; Ali, S.; Chuck, A.; Chui, L.; Currie, G.R.; Dickinson, J.; Drews, S.J.; et al. Alberta Provincial Pediatric EnTeric Infection TEam (APPETITE): Epidemiology, emerging organisms, and economics. BMC Pediatr. 2015, 15, 89. [Google Scholar] [CrossRef] [Green Version]
  18. Lloyd, C.D.; Shah-Gandhi, B.; Parsons, B.D.; Morin, S.B.; Du, T.; Golding, G.R.; Chui, L. Direct Clostridioides difficile ribotyping from stool using capillary electrophoresis. Diagn. Microbiol. Infect. Dis. 2021, 99, 115259. [Google Scholar] [CrossRef]
  19. Kubota, H.; Sakai, T.; Gawad, A.; Makino, H.; Akiyama, T.; Ishikawa, E.; Oishi, K. Development of TaqMan-based quantitative PCR for sensitive and selective detection of toxigenic Clostridium difficile in human stools. PLoS ONE 2014, 9, e111684. [Google Scholar] [CrossRef]
  20. Center for Devices and Radiological Health. Statistical Guidance on Reporting Results from Studies Evaluating Diagnostic Tests—Guidance for Industry and FDA Staff; U.S. Food and Drug Administration (FDA): Silver Spring, MD, USA, 2020. Available online: https://www.fda.gov/regulatory-information/search-fda-guidance-documents/statistical-guidance-reporting-results-studies-evaluating-diagnostic-tests-guidance-industry-and-fda (accessed on 1 September 2021).
  21. McHugh, M.L. Interrater reliability: The kappa statistic. Biochem. Med. 2012, 22, 376–382. [Google Scholar] [CrossRef]
  22. Tougas, S.R.; Lodha, N.; Vandermeer, B.; Lorenzetti, D.L.; Tarr, P.I.; Tarr, G.A.M.; Chui, L.; Vanderkooi, O.G.; Freedman, S.B. Prevalence of Detection of Clostridiodes difficile Among Asymptomatic Children. JAMA Pediatr. 2021, 175, e212328. [Google Scholar] [CrossRef] [PubMed]
  23. Freeman, K.; Tsertsvadze, A.; Taylor-Phillips, S.; McCarthy, N.; Mistry, H.; Manuel, R.; Mason, J. Agreement between gastrointestinal panel testing and standard microbiology methods for detecting pathogens in suspected infectious gastroenteritis: Test evaluation and meta-analysis in the absence of a reference standard. PLoS ONE 2017, 12, e0173196. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Borriello, S.P.; Honour, P. Simplified procedure for the routine isolation of Clostridium difficile from faeces. J. Clin. Pathol. 1981, 34, 1124–1127. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Riley, T.V.; Brazier, J.S.; Hassan, H.; Williams, K.; Phillips, K.D. Comparison of alcohol shock enrichment and selective enrichment for the isolation of Clostridium difficile. Epidemiol. Infect. 1987, 99, 355–359. [Google Scholar] [CrossRef] [Green Version]
  26. Kellner, T.; Parsons, B.; Chui, L.; Berenger, B.M.; Xie, J.; Burnham, C.-A.D.; Tarr, P.I.; Lee, B.E.; Nettel-Aguirre, A.; Szelewicki, J.; et al. Comparative Evaluation of Enteric Bacterial Culture and a Molecular Multiplex Syndromic Panel in Children with Acute Gastroenteritis. J. Clin. Microbiol. 2019, 57, e00205-19. [Google Scholar] [CrossRef]
Figure 1. Flow diagram of testing algorithm using the GPP, DFS RT-PCR, and PE RT-PCR. Abbreviations: GPP, Luminex xTAG® Gastrointestinal Pathogen Panel; DFS, Direct-from-stool; PE, Post enrichment.
Figure 1. Flow diagram of testing algorithm using the GPP, DFS RT-PCR, and PE RT-PCR. Abbreviations: GPP, Luminex xTAG® Gastrointestinal Pathogen Panel; DFS, Direct-from-stool; PE, Post enrichment.
Microorganisms 10 02214 g001
Figure 2. Comparison of Ct values for tcdB amplification from DFS and PE of the same samples.
Figure 2. Comparison of Ct values for tcdB amplification from DFS and PE of the same samples.
Microorganisms 10 02214 g002
Table 1. Primer and probe sequences used in this study [19].
Table 1. Primer and probe sequences used in this study [19].
Target, Primer/ProbeSequence 5′ → 3′
tcdB-FTACAAACAGGTGTATTTAGTACAGAAGATGGA
tcdB-RCACCTATTTGATTTAGMCCTTTAAAAGC
tcdB-P/56-FAM/TTTKCCAGT/ZEN/AAAATCAATTGCTTC/3IABkFQ/
Table 2. Discordant results for tcdB between the GPP and DFS RT-PCR resolved by PE RT-PCR.
Table 2. Discordant results for tcdB between the GPP and DFS RT-PCR resolved by PE RT-PCR.
GPPDFS RT-PCRPE RT-PCRNo. Samples (n = 15)
PositiveNegativePositive12
NegativePositivePositive2
PositiveNegativeNegative1
PE RT-PCR refers to results for tcdB after culture enrichment.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Tyrrell, H.; Morin, S.B.N.; Lloyd, C.D.; Parsons, B.; Stokowski, T.; Xie, J.; Zhuo, R.; Lee, B.E.; Pang, X.-L.; Freedman, S.B.; et al. Comparative Evaluation of Luminex xTAG® Gastrointestinal Pathogen Panel and Direct-From-Stool Real-Time PCR for Detection of C. difficile Toxin tcdB in Stool Samples from a Pediatric Population. Microorganisms 2022, 10, 2214. https://doi.org/10.3390/microorganisms10112214

AMA Style

Tyrrell H, Morin SBN, Lloyd CD, Parsons B, Stokowski T, Xie J, Zhuo R, Lee BE, Pang X-L, Freedman SB, et al. Comparative Evaluation of Luminex xTAG® Gastrointestinal Pathogen Panel and Direct-From-Stool Real-Time PCR for Detection of C. difficile Toxin tcdB in Stool Samples from a Pediatric Population. Microorganisms. 2022; 10(11):2214. https://doi.org/10.3390/microorganisms10112214

Chicago/Turabian Style

Tyrrell, Hannah, Sarah B. N. Morin, Colin D. Lloyd, Brendon Parsons, Taryn Stokowski, Jianling Xie, Ran Zhuo, Bonita E. Lee, Xiao-Li Pang, Stephen B. Freedman, and et al. 2022. "Comparative Evaluation of Luminex xTAG® Gastrointestinal Pathogen Panel and Direct-From-Stool Real-Time PCR for Detection of C. difficile Toxin tcdB in Stool Samples from a Pediatric Population" Microorganisms 10, no. 11: 2214. https://doi.org/10.3390/microorganisms10112214

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop