Evidence map›Paper›PMID 35337015›Full record

ArticleViruses2022

Clinical Evaluation of a Fully-Automated High-Throughput Multiplex Screening-Assay to Detect and Differentiate the SARS-CoV-2 B.1.1.529 (Omicron) and B.1.617.2 (Delta) Lineage Variants.

Dominik Nörz, Moritz Grunwald, Hui Ting Tang, Celine Weinschenk, Thomas Günther, Alexis Robitaille, Katja Giersch, Nicole Fischer, Adam Grundhoff, Martin Aepfelbacher and 2 more

Abstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. A robust, highly multiplexed mass spectrometry assay to identify SARS-CoV-2 variants.medRxiv : the preprint server for health sciences · 2022
    Article
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

12 authors.

Dominik NörzInstitute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.ORCID 0000-0003-4001-7192
Moritz GrunwaldInstitute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.
Hui Ting TangInstitute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.
Celine WeinschenkInstitute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.
Thomas GüntherLeibniz Institute for Experimental Virology (HPI), Virus Genomics, 20251 Hamburg, Germany.ORCID 0000-0001-9650-0218
Alexis RobitailleLeibniz Institute for Experimental Virology (HPI), Virus Genomics, 20251 Hamburg, Germany.
Katja GierschInstitute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.
Nicole FischerInstitute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.ORCID 0000-0002-5092-8179
Adam GrundhoffLeibniz Institute for Experimental Virology (HPI), Virus Genomics, 20251 Hamburg, Germany.ORCID 0000-0003-0940-7045
Martin AepfelbacherInstitute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.
Susanne PfefferleInstitute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.ORCID 0000-0001-7489-6557
Marc LütgehetmannInstitute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.ORCID 0000-0002-9468-7944

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe recently emerged SARS-CoV-2 B.1.1.529 lineage and its sublineages (Omicron variant) pose a new challenge to healthcare systems worldwide due to its ability to efficiently spread in immunized populations and its resistance to currently available monoclonal antibody therapies. RT-PCR-based variant tests can be used to screen large sample-sets rapidly and accurately for relevant variants of concern (VOC). The aim of this study was to establish and validate a multiplex assay on the cobas 6800/8800 systems to allow discrimination between the two currently circulating VOCs, Omicron and Delta, in clinical samples.

methodsPrimers and probes were evaluated for multiplex compatibility. Analytic performance was assessed using cell culture supernatant of an Omicron variant isolate and a clinical Delta variant sample, normalized to WHO-Standard. Clinical performance of the multiplex assay was benchmarked against NGS results.

resultsIn silico testing of all oligos showed no interactions with a high risk of primer-dimer formation or amplification of human DNA/RNA. Over 99.9% of all currently available Omicron variant sequences are a perfect match for at least one of the three Omicron targets included in the multiplex. Analytic sensitivity was determined as 19.0 IU/mL (CI95%: 12.9-132.2 IU/mL) for the A67V + del-HV69-70 target, 193.9 IU/mL (CI95%: 144.7-334.7 IU/mL) for the E484A target, 35.5 IU/mL (CI95%: 23.3-158.0 IU/mL) for the N679K + P681H target and 105.0 IU/mL (CI95%: 80.7-129.3 IU/mL) for the P681R target. All sequence variances were correctly detected in the clinical sample set (225/225 Targets).

conclusionRT-PCR-based variant screening compared to whole genome sequencing is both rapid and reliable in detecting relevant sequence variations in SARS-CoV-2 positive samples to exclude or verify relevant VOCs. This allows short-term decision-making, e.g., for patient treatment or public health measures.

Indexed as

COVID-19SARS-CoV-2DNA PrimersHigh-Throughput Screening AssaysHumansDNA PrimersOmicron variantRT-qPCRSARS-CoV-2variant screening

Identifiers

PMID35337015
PMCPMC8950896

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Registered trials

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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.