Evidence map›Paper›PMID 39158943›Full record

ArticleJMIR public health and surveillance2024

Comparison of Different Reverse Transcriptase-Polymerase Chain Reaction-Based Methods for Wastewater Surveillance of SARS-CoV-2: Exploratory Study.

Annika Länsivaara, Kirsi-Maarit Lehto, Rafiqul Hyder, Erja Sinikka Janhonen, Anssi Lipponen, Annamari Heikinheimo, Tarja Pitkänen, Sami Oikarinen, WastPan Study Group

Abstract readComparative Study
In one paragraph

Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Annika LänsivaaraFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0001-7109-2924
Kirsi-Maarit LehtoFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0001-9028-0904
Rafiqul HyderFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0002-1554-8840
Erja Sinikka JanhonenFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0009-0006-6710-9950
Anssi LipponenExpert Microbiology Unit, Finnish Institute for Health and Welfare, Kuopio, Finland.ORCID 0000-0002-4403-9084
Annamari HeikinheimoDepartment of Food Hygiene and Environmental Health, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-6559-5442
Tarja PitkänenExpert Microbiology Unit, Finnish Institute for Health and Welfare, Kuopio, Finland.ORCID 0000-0002-7591-9148
Sami OikarinenFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0003-3901-6774
WastPan Study GroupFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany countries have applied the wastewater surveillance of the COVID-19 pandemic to their national public health monitoring measures. The most used methods for detecting SARS-CoV-2 in wastewater are quantitative reverse transcriptase-polymerase chain reaction (RT-qPCR) and reverse transcriptase-droplet digital polymerase chain reaction (RT-ddPCR). Previous comparison studies have produced conflicting results, thus more research on the subject is required.

objectiveThis study aims to compare RT-qPCR and RT-ddPCR for detecting SARS-CoV-2 in wastewater. It also aimed to investigate the effect of changes in the analytical pipeline, including the RNA extraction kit, RT-PCR kit, and target gene assay, on the results. Another aim was to find a detection method for low-resource settings.

methodsWe compared 2 RT-qPCR kits, TaqMan RT-qPCR and QuantiTect RT-qPCR, and RT-ddPCR based on sensitivity, positivity rates, variability, and correlation of SARS-CoV-2 gene copy numbers in wastewater to the incidence of COVID-19. Furthermore, we compared 2 RNA extraction methods, column- and magnetic-bead-based. In addition, we assessed 2 target gene assays for RT-qPCR, N1 and N2, and 2 target gene assays for ddPCR N1 and E. Reverse transcription strand invasion-based amplification (RT-SIBA) was used to detect SARS-CoV-2 from wastewater qualitatively.

resultsOur results indicated that the most sensitive method to detect SARS-CoV-2 in wastewater was RT-ddPCR. It had the highest positivity rate (26/30), and its limit of detection was the lowest (0.06 gene copies/µL). However, we obtained the best correlation between COVID-19 incidence and SARS-CoV-2 gene copy number in wastewater using TaqMan RT-qPCR (correlation coefficient [CC]=0.697, P<.001). We found a significant difference in sensitivity between the TaqMan RT-qPCR kit and the QuantiTect RT-qPCR kit, the first having a significantly lower limit of detection and a higher positivity rate than the latter. Furthermore, the N1 target gene assay was the most sensitive for both RT-qPCR kits, while no significant difference was found between the gene targets using RT-ddPCR. In addition, the use of different RNA extraction kits affected the result when the TaqMan RT-qPCR kit was used. RT-SIBA was able to detect SARS-CoV-2 RNA in wastewater.

conclusionsAs our study, as well as most of the previous studies, has shown RT-ddPCR to be more sensitive than RT-qPCR, its use in the wastewater surveillance of SARS-CoV-2 should be considered, especially if the amount of SARS-CoV-2 circulating in the population was low. All the analysis steps must be optimized for wastewater surveillance as our study showed that all the analysis steps including the compatibility of the RNA extraction, the RT-PCR kit, and the target gene assay influence the results. In addition, our study showed that RT-SIBA could be used to detect SARS-CoV-2 in wastewater if a qualitative result is sufficient.

Indexed as

COVID-19Reverse Transcriptase Polymerase Chain ReactionSARS-CoV-2WastewaterHumansReal-Time Polymerase Chain ReactionRNA, ViralSensitivity and SpecificityWastewater-Based Epidemiological MonitoringRNA, ViralWastewaterCOVID-19detectionFinlandlow-resource settingsmonitoringquantitative reverse transcription polymerase chain reactionreverse transcription droplet digital polymerase chain reactionreverse transcription strand invasion based amplificationRNASARS-CoV-2spatialsurveillancesurveillance systemstemporal changeswastewaterwastewater surveillance

Identifiers

PMID39158943
PMCPMC11369532

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.