Evidence map›Paper›PMID 38081834›Full record

ArticleScientific reports2023

An expanded RT-PCR melting temperature coding assay to rapidly identify all known SARS-CoV-2 variants and sub-variants of concern.

Padmapriya P Banada, Raquel Green, Deanna Streck, Rohini Kurvathi, Robert Reiss, Sukalyani Banik, Naranjargal Daivaa, Ibsen Montalvan, Robert Jones, Salvatore A E Marras and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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 at 4 institutions in 1 country.

Padmapriya P Banada *Rutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA. priya.banada@rutgers.edu.
Raquel Green *Rutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA.
Deanna StreckInstitute of Genomic Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA.
Rohini KurvathiInstitute of Genomic Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA.
Robert ReissDivision of Infectious Diseases, Department of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA.
Sukalyani BanikRutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA.
Naranjargal DaivaaRutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA.
Ibsen MontalvanUniversity Hospital, Newark, NJ, USA.
Robert JonesCraic Computing LLC, Snohomish, WA, USA.
Salvatore A E MarrasRutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA.
Soumitesh ChakravortyRutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA.
David AllandRutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA. allandda@njms.rutgers.edu.
Rutgers New Jersey Medical SchoolRutgers, The State University of New Jersey · USSnohomish Health District · USUniversity Hospital, Newark · US

Funding

Urine Colorimetry for Tuberculosis Pharmacokinetics Evaluation in Children and AdultsR01AI137080 · NIAID · UNIVERSITY OF VIRGINIA · PI Scott K Heysell, Leonid Kagan · 2018 to 2026
$6.3M
TB detection in children using a novel stool-based GeneXpert assayR01AI131617 · NIAID · RBHS-NEW JERSEY MEDICAL SCHOOL · PI ALLAND, DAVID, NICOL, MARK PATRICK · 2018 to 2022
$2.9M
Background free amplified single-molecule FISH for in situ and flow cytometric applicationsR01CA227291 · NCI · RBHS-NEW JERSEY MEDICAL SCHOOL · PI TYAGI, SANJAY · 2018 to 2022
$2.8M
NCI NIH HHS R01 CA227291NIAID NIH HHS R01 AI131617NIAID NIH HHS R01 AI137080NIH HHS R01 AI131617NIH HHS R01AI137080-01A1NIH HHS R01CA227291
6 · The paper itself

Abstract

The continued emergence of vaccine-resistant SARS-CoV-2 variants of concern (VOC) requires specific identification of each VOC as it arises. Here, we report an expanded version of our previously described sloppy molecular beacon (SMB) melting temperature (Tm) signature-based assay for VOCs, now modified to include detection of Delta (B.1.617.2) and Omicron (B.1.1.529) sub-variants. The SMB-VOC assay targets the signature codons 501, 484 and 452 in the SARS-CoV-2 spike protein which we show can specifically detect and differentiate all known VOCs including the Omicron subvariants (BA.1, BA.2, BA.2.12.1, BA.4/BA.5). The limit of detection (LOD) of the assay was 20, 22 and 36 genomic equivalents (GE) per reaction with the Delta, Omicron BA.1 and BA.2 respectively. Clinical validation of the 3-codon assay in the LC480 instrument showed the assay detected 94% (81/86) of the specimens as WT or VOCs and 6% (5/86) of the tests producing indeterminate results compared to sequencing. Sanger sequencing also failed for four samples. None of the specimens were incorrectly identified as WT or as a different VOC by our assay. Thus, excluding specimens with indeterminant results, the assay was 100% sensitive and 100% specific compared to Sanger sequencing for variant identification. This new assay concept can be easily expanded to add newer variants and can serve as a robust diagnostic tool for selecting appropriate monoclonal antibody therapy and rapid VOC surveillance.

Indexed as

COVID-19MagnoliopsidaCOVID-19 TestingHumansReverse Transcriptase Polymerase Chain ReactionSARS-CoV-2Spike Glycoprotein, CoronavirusTemperatureSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID38081834
PMCPMC10713575
OpenAlexW4389571297

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.