Evidence map›Paper›PMID 34033854›Full record

ArticleJournal of virological methods2021

How to choose the right real-time RT-PCR primer sets for the SARS-CoV-2 genome detection?

Ahalieyah Anantharajah, Raphaël Helaers, Jean-Philippe Defour, Nathalie Olive, Florence Kabera, Luc Croonen, Françoise Deldime, Jean-Luc Vaerman, Cindy Barbée, Monique Bodéus and 4 more

Abstract readComparative Study
In one paragraph

Article in Journal of virological methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Perspective on the status and behaviour of SARS-CoV-2 in soil.Saudi journal of biological sciences · 2022
    Review
  12. Review
  13. Review
  14. Review
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

14 authors.

Ahalieyah AnantharajahDepartment of Microbiology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Department of Molecular Biology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium. Electronic address: ahalieyah.anantharajah@uclouvain.be.
Raphaël HelaersHuman Molecular Genetics, de Duve Institute, Université catholique de Louvain, Brussels, Belgium.
Jean-Philippe DefourDepartment of Hematology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Ludwig Institute for Cancer Research & de Duve Institute, Université catholique de Louvain, Brussels, Belgium.
Nathalie OliveDepartment of Molecular Biology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium.
Florence KaberaDepartment of Molecular Biology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium.
Luc CroonenDepartment of Molecular Biology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium.
Françoise DeldimeDepartment of Molecular Biology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium.
Jean-Luc VaermanDepartment of Molecular Biology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium.
Cindy BarbéeDepartment of Molecular Biology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium.
Monique BodéusDepartment of Microbiology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium.
Anais ScohyDepartment of Microbiology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium.
Alexia VerrokenDepartment of Microbiology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium.
Hector Rodriguez-VillalobosDepartment of Microbiology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium.
Benoît Kabamba-MukadiDepartment of Microbiology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Department of Molecular Biology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe SARS-CoV-2 pandemic has created an unprecedented need for rapid large-scale diagnostic testing to prompt clinical and public health interventions. Currently, several quantitative reverse-transcription polymerase chain reaction (RT-qPCR) assays recommended by the World Health Organization are being used by clinical and public health laboratories and typically target regions of the RNA-dependent RNA polymerase (RdRp), envelope (E) and nucleocapsid (N) coding region. However, it is currently unclear if results from different tests are comparable. This study aimed to clarify the clinical performances of the primer/probe sets designed by US CDC and Charité/Berlin to help clinical laboratories in assay selection for SARS-CoV-2 routine detection.

methodsWe compared the clinical performances of the recommended primer/probe sets using one hundred nasopharyngeal swab specimens from patients who were clinically diagnosed with COVID-19. An additional 30 "pre-intervention screening" samples from patients who were not suspected of COVID-19 were also included in this study. We also performed sequence alignment between 31064 European SARS-CoV-2 and variants of concern genomes and the recommended primer/probe sets.

resultsThe present study demonstrates substantial differences in SARS-CoV-2 RNA detection sensitivity among the primer/probe sets recommended by the World Health Organization especially for low-level viral loads. The alignment of thousands of SARS-CoV-2 sequences reveals that the genetic diversity remains relatively low at the primer/probe binding sites. However, multiple nucleotide mismatches might contribute to false negatives.

conclusionAn understanding of the limitations depending on the targeted genes and primer/probe sets may influence the selection of molecular detection assays by clinical laboratories.

Indexed as

CoronavirusCOVID-19COVID-19 Nucleic Acid TestingDNA PrimersGenome, ViralHumansReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionRNA, ViralSARS-CoV-2Sensitivity and SpecificitySequence AlignmentViral LoadViral ProteinsDNA PrimersRNA, ViralViral ProteinsClinical performanceCOVID-19In silico analysisMolecular detectionReal-time RT PCRSARS-CoV-2

Identifiers

PMID34033854
PMCPMC8141720

What OpenQuestion holds

Textmetadata
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.