Evidence map›Paper›PMID 34295944›Full record

ArticleOpen forum infectious diseases2021

SARS-CoV-2 Subgenomic RNA Kinetics in Longitudinal Clinical Samples.

Renu Verma, Eugene Kim, Giovanny Joel Martínez-Colón, Prasanna Jagannathan, Arjun Rustagi, Julie Parsonnet, Hector Bonilla, Chaitan Khosla, Marisa Holubar, Aruna Subramanian and 4 more

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.8field-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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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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

14 authors at 1 institution in 1 country.

Renu VermaDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID https://orcid.org/0000-0003-1277-8824
Eugene KimDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
Giovanny Joel Martínez-ColónDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
Prasanna JagannathanDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID https://orcid.org/0000-0001-6305-758X
Arjun RustagiDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
Julie ParsonnetDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
Hector BonillaDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
Chaitan KhoslaDepartments of Chemistry and Chemical Engineering, Stanford University, Stanford, California, USA.
Marisa HolubarDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID https://orcid.org/0000-0002-7585-1809
Aruna SubramanianDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
Upinder SinghDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
Yvonne MaldonadoDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California, USA.
Catherine A BlishDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
Jason R AndrewsDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID https://orcid.org/0000-0002-5967-251X
Stanford University · US

Funding

Computational models of naturally acquired immunity to falciparum malariaU01AI150741 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BUTTE, ATUL J, GREENHOUSE, BRYAN R · 2020 to 2024
$7.4M
EMERGING INFECTIOUS DISEASEST32AI007502 · NIAID · STANFORD UNIVERSITY · PI Prasanna Jagannathan, DAVID A. RELMAN · 1995 to 2026
$6.8M
University of Michigan Postbaccalaureate Research Education Program (UM PREP)R25GM086262 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALLEN, BENJAMIN · 2009 to 2024
$6.1M
NIAID NIH HHS T32 AI007502NIAID NIH HHS U01 AI150741NIGMS NIH HHS R25 GM086262
6 · The paper itself

Abstract

backgroundGiven the persistence of viral RNA in clinically recovered coronavirus disease 2019 (COVID-19) patients, subgenomic RNAs (sgRNAs) have been reported as potential molecular viability markers for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, few data are available on their longitudinal kinetics, compared with genomic RNA (gRNA), in clinical samples.

methodsWe analyzed 536 samples from 205 patients with COVID-19 from placebo-controlled, outpatient trials of peginterferon Lambda-1a (Lambda; n = 177) and favipiravir (n = 359). Nasal swabs were collected at 3 time points in the Lambda (days 1, 4, and 6) and favipiravir (days 1, 5, and 10) trials. N-gene gRNA and sgRNA were quantified by quantitative reverse transcription polymerase chain reaction. To investigate the decay kinetics in vitro, we measured gRNA and sgRNA in A549

resultsAt 6 days in the Lambda trial and 10 days in the favipiravir trial, sgRNA remained detectable in 51.6% (32/62) and 49.5% (51/106) of the samples, respectively. Cycle threshold (Ct) values for gRNA and sgRNA were highly linearly correlated (marginal

conclusionsIn clinical samples and in vitro, sgRNA was highly correlated with gRNA and did not demonstrate different decay patterns to support its application as a viability marker.

Indexed as

cohortCOVID-19infectiousnessSARS-CoV-2subgenomic RNA

Identifiers

PMID34295944
PMCPMC8291522
OpenAlexW3184905434

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.