Evidence map›Paper›PMID 37656746›Full record

ArticlePloS one2023

Quantitative SARS-CoV-2 subgenomic RNA as a surrogate marker for viral infectivity: Comparison between culture isolation and direct sgRNA quantification.

Rossana Scutari, Silvia Renica, Valeria Cento, Alice Nava, Josè Camilla Sammartino, Alessandro Ferrari, Arianna Pani, Marco Merli, Diana Fanti, Chiara Vismara and 8 more

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

18 authors.

Rossana ScutariDepartment of Oncology and Hemato-oncology, University of Milan, Milan, Italy.
Silvia RenicaDepartment of Oncology and Hemato-oncology, University of Milan, Milan, Italy.
Valeria CentoDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Alice NavaChemical-Clinical and Microbiological Analysis, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Josè Camilla SammartinoMicrobiology and Virology Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.ORCID 0000-0003-3707-3118
Alessandro FerrariMicrobiology and Virology Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Arianna PaniChemical-Clinical and Microbiological Analysis, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Marco MerliInfectious Diseases Unit, Azienda Socio-Sanitaria Territoriale (ASST) Grande Ospedale Metropolitano Niguarda, Milan, Italy.ORCID 0000-0001-5081-8669
Diana FantiChemical-Clinical and Microbiological Analysis, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Chiara VismaraChemical-Clinical and Microbiological Analysis, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Francesco ScaglioneDepartment of Oncology and Hemato-oncology, University of Milan, Milan, Italy.
Massimo PuotiInfectious Diseases Unit, Azienda Socio-Sanitaria Territoriale (ASST) Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Alessandra BanderaInfectious Diseases Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.
Andrea GoriInfectious Diseases Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.
Antonio PirallaMicrobiology and Virology Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Fausto BaldantiMicrobiology and Virology Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Carlo Federico PernoMultimodal Research Area, Bambino Gesù Children Hospital IRCCS, Rome, Italy.
Claudia AlteriDepartment of Oncology and Hemato-oncology, University of Milan, Milan, Italy.ORCID 0000-0003-4270-5079

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of subgenomic (sg) SARS-CoV-2 RNAs are frequently used as a correlate of viral infectiousness, but few data about correlation between sg load and viable virus are available. Here, we defined concordance between culture isolation and E and N sgRNA quantification by ddPCR assays in 51 nasopharyngeal swabs collected from SARS-CoV-2 positive hospitalized patients. Among the 51 samples, 14 were SARS-CoV-2 culture-positive and 37 were negative. According to culture results, the sensitivity and specificity of E and N sgRNA assays were 100% and 100%, and 84% and 86%, respectively. ROC analysis showed that the best E and N cut-offs to predict positive culture isolation were 32 and 161 copies/mL respectively, with an AUC (95% CI) of 0.96 (0.91-1.00) and 0.96 (0.92-1.00), and a diagnostic accuracy of 88% and 92%, respectively. Even if no significant correlations were observed between sgRNA amount and clinical presentation, a higher number of moderate/severe cases and lower number of days from symptoms onset characterized patients with sgRNA equal to or higher than sgRNA cut-offs. Overall, this study suggests that SARS-CoV-2 sgRNA quantification could be helpful to estimate the replicative activity of SARS-CoV-2 and can represent a valid surrogate marker to efficiently recognize patients with active infection. The inclusion of this assay in available SARS-CoV-2 diagnostics procedure might help in optimizing fragile patients monitoring and management.

Indexed as

COVID-19Virus DiseasesBiomarkersHumansRNASARS-CoV-2Subgenomic RNABiomarkersRNASubgenomic RNA

Identifiers

PMID37656746
PMCPMC10473502

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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.