Evidence map›Paper›PMID 35337017›Full record

ArticleViruses2022

Optimization and Application of a Multiplex Digital PCR Assay for the Detection of SARS-CoV-2 Variants of Concern in Belgian Influent Wastewater.

Tim Boogaerts, Siel Van den Bogaert, Laura A E Van Poelvoorde, Diala El Masri, Naomi De Roeck, Nancy H C Roosens, Marie Lesenfants, Lies Lahousse, Koenraad Van Hoorde, Alexander L N van Nuijs and 1 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  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

11 authors at 3 institutions in 1 country.

Tim BoogaertsToxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium.
Siel Van den BogaertLaboratory for Microbiology, Parasitology and Hygiene, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium.
Laura A E Van PoelvoordeScientific Directorate of Biological Health Risks, Service Transerversal Activities in Applied Genomics, Sciensano, J. Wytsmanstraat 14, 1050 Brussels, Belgium.ORCID 0000-0002-7442-5744
Diala El MasriLaboratory for Microbiology, Parasitology and Hygiene, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium.
Naomi De RoeckLaboratory for Microbiology, Parasitology and Hygiene, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium.
Nancy H C RoosensScientific Directorate of Biological Health Risks, Service Transerversal Activities in Applied Genomics, Sciensano, J. Wytsmanstraat 14, 1050 Brussels, Belgium.ORCID 0000-0001-9218-078X
Marie LesenfantsScientific Directorate of Epidemiology and Public Health, Service Epidemiology of Infectious Diseases, Sciensano, J. Wytsmanstraat 14, 1050 Brussels, Belgium.
Lies LahousseDepartment of Bioanalysis, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium.
Koenraad Van HoordeScientific Directorate of Infectious Diseases in Humans, Service Foodborne Pathogens, Sciensano, J. Wytsmanstraat 14, 1050 Brussels, Belgium.
Alexander L N van NuijsToxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium.ORCID 0000-0002-9377-6160
Peter DelputteLaboratory for Microbiology, Parasitology and Hygiene, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium.ORCID 0000-0003-3972-616X
University of Antwerp · BESciensano (Belgium) · BEGhent University · BE

Funding

Agency of Care and Health GE0-1GPFZJA-WTResearch Council (BOF) of the University of Antwerp FFB200184Sciensano - COVID-19 nationale surveillance in afvalwater. 44055Sciensano - Early detection of SARS-CoV-2 infections 43157Sciensano project COVIPRIM-VAR 1913
6 · The paper itself

Abstract

Since the beginning of the COVID-19 pandemic, the wastewater-based epidemiology (WBE) of SARS-CoV-2 has been used as a complementary indicator to follow up on the trends in the COVID-19 spread in Belgium and in many other countries. To further develop the use of WBE, a multiplex digital polymerase chain reaction (dPCR) assay was optimized, validated and applied for the measurement of emerging SARS-CoV-2 variants of concern (VOC) in influent wastewater (IWW) samples. Key mutations were targeted in the different VOC strains, including SΔ69/70 deletion, N501Y, SΔ241 and SΔ157. The presented bioanalytical method was able to distinguish between SARS-CoV-2 RNA originating from the wild-type and B.1.1.7, B.1.351 and B.1.617.2 variants. The dPCR assay proved to be sensitive enough to detect low concentrations of SARS-CoV-2 RNA in IWW since the limit of detection of the different targets ranged between 0.3 and 2.9 copies/µL. This developed WBE approach was applied to IWW samples originating from different Belgian locations and was able to monitor spatio-temporal changes in the presence of targeted VOC strains in the investigated communities. The present dPCR assay developments were realized to bring added-value to the current national WBE of COVID-19 by also having the spatio-temporal proportions of the VoC in presence in the wastewaters.

Indexed as

COVID-19SARS-CoV-2BelgiumHumansMultiplex Polymerase Chain ReactionPandemicsRNA, ViralWastewaterRNA, ViralWastewaterBelgiumdigital polymerase chain reactionSARS-CoV-2variants of concernwastewater-based epidemiology

Identifiers

PMID35337017
PMCPMC8953730
OpenAlexW4221014977

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.