Abstract
Norovirus is a leading cause of acute gastroenteritis (AGE) in Taiwan. To improve diagnosis as part of laboratory surveillance, AGE surveillance was conducted using a new fluorescent probe hydrolysis-based insulated isothermal polymerase chain reaction (PCR) method, the POCKIT system, and the results were compared with those obtained from conventional methods. A total of 119 clinical stool samples from reported AGE outbreaks were collected for this study. From 83 real-time reverse transcription PCR (rRT-PCR) norovirus-positive cases, the POCKIT system identified 78 with a sensitivity of 90.3% in GI genogroup and 96.7% in GII genogroup. The specificity for both GI and GII genogroups was 100%. Overall, the POCKIT system is faster and easier to use than the conventional rRT-PCR method, and because of its high sensitivity and specificity, this system is a promising alternative for the detection of norovirus in patients with AGE, and would benefit public health laboratories for near real-time surveillance of AGE epidemic outbreaks.
Introduction
Infectious acute gastroenteritis (AGE) causes high morbidity and mortality in children and is often caused by viruses; identification of the infectious agent is essential for patient management (Marignani
Norovirus is a leading cause of AGE, and it is estimated to cause nearly 20% of all global AGE cases (Ahmed
Real-time reverse transcription polymerase chain reaction (rRT-PCR) is considered the gold standard norovirus screening and detection method. However, the procedure is labor-intensive and time-consuming because of the many required techniques and steps; moreover, it also will introduce the possibility of contamination through these procedures and make them vulnerable to false-positive (or false-negative) results.
A fluorescent probe hydrolysis-based insulated isothermal PCR (iiPCR) assay was recently developed and made commercially available (Tsai
Materials and Methods
This prospective observational study tested clinical samples for norovirus. All samples were tested with the POCKIT Series Nucleic Acid Analyzer and were compared its performance with an rRT-PCR test serving as the reference method.
Clinical specimens
A total of 301 AGE outbreaks were reported to the Taiwan CDC between September and December 2020, and 119 stool samples with sufficient residual volume for testing (>700 μL) from the reported AGE outbreaks were used in this study. Outbreaks were defined as two or more cases of gastroenteritis linked by place and time. A new outbreak was arbitrarily defined as having occurred at least 7 days after the last case in a previous outbreak or as having occurred in a separate patient care unit, such as a ward or hospital (LeBaron
Patients with AGE experienced vomiting or diarrhea (have three or more loose or liquid stools per day). The biological materials obtained in this study were used for standard diagnostic procedures as requested by patient's physician; the procedures were conducted in accordance with no specific sampling method and no modification were made to sampling protocols. According to the Communicable Disease Control Act in Taiwan, all suspected gastroenteritis outbreaks must be reported and stool samples must be collected to Taiwan CDC through the Notifiable Diseases Surveillance System. In accordance with local regulations, the procedures did not require specific consent from patients.
rRT-PCR detection of norovirus
The specimens from patients were submitted to the Taiwan CDC for viral tests. A viral nucleic acid extraction from 200 μL fecal suspension was performed according to the manufacturer's recommendations of a kit (QIAamp Viral RNA Mini kit; Qiagen, Hilden, Germany). Viral tests for norovirus were performed by rRT-PCR (Cannon
POCKIT norovirus GI and GII detection
Clinical stool sample was resuspended in 1 × phosphate-buffered saline (PBS) (100 mg stool +900 μL PBS) and centrifuged at 13,000 ×
QIAstate-Dx gastrointestinal panel testing
The QIAstate-Dx Gastrointestinal Panel (GIP) assay (Qiagen) was performed according to the manufacturer's instructions. After vortexing, 200 μL of the resuspended sample was inserted into a GIP test cartridge. The barcode of the GIP test cartridge and the barcode of the corresponding sample were scanned by the QIAstat-Dx operational module. The GIP test cartridge was then loaded into the QIAstat-Dx analyzer module. Each report contains the results of all 24 viral, bacterial, and parasite targets, as well as those for the internal control.
Statistics
The kappa statistic test (
Ethical approval
This study was approved by the Institution Review Board of Taiwan Centers for Disease Control (No. IRB110101). The consent was waived for this study as there was no personal information collected from subjects.
Results
Of the 119 stool samples, 83 laboratory-confirmed norovirus-positive samples and 36 negative samples were performed to evaluate the analytical sensitivity of the POCKIT system. Of the 83 positive samples, 31 were GI, 52 were GII, and no GI/GII combined infections were detected in any sample. The demographic and clinical symptoms data are displayed in Tables 1 and 2 for GI and GII, respectively. This study included samples from 74 (62.2%) male patients and 45 (31.8%) female patients aged 1–60 years. The most common clinical manifestations were vomiting, diarrhea, and fever.
Age Distribution and Symptoms of Patients with Acute Gastroenteritis in GI Testing During 2020–2021 in Taiwan
Others included muscle soreness, chillness, and general body aches.
Age Distribution and Symptoms of Patients with Acute Gastroenteritis in GII Testing During 2020–2021 in Taiwan
Others included muscle soreness, headache, and cardialgia.
The results of the POCKIT system and the real-time PCR tests are displayed in Table 3. Of the 83 rRT-PCR norovirus-positive cases (GI 31and GII 52), POCKIT identified 78 (GI 28 and GII 50), with a sensitivity 90.3% (28/31) for GI genogroup and 96.1% (50/52) for GII genogroups, the specificity for both GI and GII genogroups was 100%, and
Performance of POCKIT System on Clinical Samples Compared with Reference Real-Time Reverse Transcription Polymerase Chain Reaction Assay
rRT-PCR, real-time reverse transcription polymerase chain reaction.
A total of 24 samples were used in the QIAstat-Dx GIP assay. Of the 8 rRT-PCR norovirus-positive cases (GI 3 and GII 5), the QIAstat-Dx GIP assay identified 6 (GI 2 and GII 4), with a positive predictive value of 66.7% for GI and 80.0% for GII. Comparing the results of POCKIT system with QIAstat-Dx GIP assay, a better positive and negative agreement was observed between the rRT-PCR assay and the POCKIT iiPCR (Supplementary Appendix Table S1).
Discussion
Diagnostic detection of norovirus is crucial for managing the large scale of diarrheal outbreaks, to enable real-time screening and detection is essential. PCR-based assays are recommended as the gold standard for diagnostic testing for many infectious diseases (Robilotti
Since norovirus is fecal–oral transmitted and frequently causes large outbreaks, early detection and identification of norovirus-infected individuals and foods remain a key strategy to interrupt transmission. Moreover, possible impact factors analysis of norovirus infection from our other project shows that the burden of norovirus is likely to increase in response to climate change and population density as increasing in kindergarten and nursing home. Longitudinal data from previous study revealed that prevalences of aging population and multimorbidity substantially increased in Taiwan from 2000 to 2013 (Lai
This study is the first to evaluate the suitability of the POCKIT system for laboratory diagnosing norovirus among patients with diarrhea during outbreaks in Taiwan. The specificity and sensitivity of the POCKIT system exhibited satisfactory performances among the GI and GII genogroups. From our evaluation results, the POCKIT assay had a specificity of 100% for the GI and GII genogroups, and its sensitivity was 90.3% with the GI genogroup and 96.7% with the GII genogroup, this revealed similar diagnostic accuracies with rRT-PCR assay and facilitates urgent testing and laboratory surveillance.
Previous study evaluated several molecular platforms for the detection of norovirus, and showed that the sensitivity of the FilmArray, Luminex xTAG GIP, and TaqMan Array Card were 87.8%, 78.0% and 87.8%, respectively (Chhabra
Thus, the POCKIT system is appropriate for use at the outbreak level, and a second detection system would be required if it is applied at the individual case level. In addition, a previous study that evaluated the performance of the QIAstat-Dx GIP in detecting and identifying causative agents of infectious gastroenteritis reported a perfect performance record with a total of 16 norovirus GI and GII positive in 172 patients (Boers
However, due to limited availability of COVID-19 pandemic, only 24 QIAstat-Dx GIPs tests were performed in this study. The QIAstat-Dx GIP assay exhibited lower sensitivity (GI 66.7% and GII 80.0%) than POCKIT system, and yielded an overall 95.8% consistency results with rRT-PCR. Because the sample size was too small, the data of QIAstat-Dx GIPs shown here are unlikely to be statistically significant or reliable; however, a multicenter comparative study of QIAstat-Dx GIP indicates a good correlation and positive percent agreement of 98.2% with other multiplexed molecular assays (Hannet
The POCKIT device was specifically designed to provide optimal conditions for fluorescent probe-based iiPCR, and has the capacity to detect 520- and 550-nm signals simultaneously. The iiPCR is highly sensitive and specific for the detection of both RNA and DNA, and because it can be used within a single heating source, it does not require an expensive thermocycler (Chang
A shortcoming of the POCKIT system is limited by flexibility and high-throughput testing, only detects eight samples in each run. If large-scale foodborne outbreaks occur, it is unable to cope with plenty of clinical samples. Nevertheless, POCKIT only requires the addition of an aliquot supernatant of feces into the test cartridge by a single pipetting step and reports results in nearly an hour, its high sensitivity and ease of use make it possible to be applied to the diagnostic of norovirus outbreaks, and can facilitate not only urgent testing but also laboratory surveillance for diverse genogroups and genotypes of norovirus.
This makes the POCKIT system more suitable for being applied at the front line of outbreak level. The quick turnaround time of the system could potentially be a very useful test in controlling outbreaks. POCKIT substantially offers advantages such as accuracy, easy of handling, faster turnaround time, reduce labor and employee training, potential costs, and this assay may be more favorable than other available methods.
Conclusion
This study demonstrated the use of a high-order testing, yet is simple to use and requires minimal hands-on time that is feasible for application worldwide. Its use may lead to an increased diagnosis rate of norovirus infections and improved patient outcomes. Our results indicated that the POCKIT system generates specific, sensitive, and reproducible results, and can therefore serve as an alternative method for laboratory screening and a valuable platform for AGE outbreaks investigation.
Footnotes
Authors' Contributions
J.L. and J.C. conceived the project and designed the experiments, supervised the project, and revised the article. S.C., S.H., L.L., Y.C., and H.L. performed the experiments. S.C., and J.L. analyzed the data and wrote the article. All authors have read and agreed to the published version of the article.
Acknowledgments
We would like to thank the sentinels of Taiwan CDC for the time and effort they have invested in the collection of these data.
Disclosure Statement
No competing financial interests exist.
Funding Information
This study was supported by Taiwan Centers for Disease Control (grant nos. MOHW110-CDC-C-315-113118 and MOHW110-CDC-C-315-114408) and partly supported by China Medical University (CMU108-S-35).
Supplementary Material
Supplementary Appendix Figure S1
Supplementary Appendix Table S1
References
Supplementary Material
Please find the following supplemental material available below.
For Open Access articles published under a Creative Commons License, all supplemental material carries the same license as the article it is associated with.
For non-Open Access articles published, all supplemental material carries a non-exclusive license, and permission requests for re-use of supplemental material or any part of supplemental material shall be sent directly to the copyright owner as specified in the copyright notice associated with the article.
