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SARS-CoV-2 Subgenomic RNA Kinetics in Longitudinal Clinical Samples.
Verma, Renu; Kim, Eugene; Martínez-Colón, Giovanny Joel; Jagannathan, Prasanna; Rustagi, Arjun; Parsonnet, Julie; Bonilla, Hector; Khosla, Chaitan; Holubar, Marisa; Subramanian, Aruna; Singh, Upinder; Maldonado, Yvonne; Blish, Catherine A; Andrews, Jason R.
  • Verma R; Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
  • Kim E; Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
  • Martínez-Colón GJ; Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
  • Jagannathan P; Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
  • Rustagi A; Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
  • Parsonnet J; Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
  • Bonilla H; Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, USA.
  • Khosla C; Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
  • Holubar M; Departments of Chemistry and Chemical Engineering, Stanford University, Stanford, California, USA.
  • Subramanian A; Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
  • Singh U; Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
  • Maldonado Y; Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
  • Blish CA; Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
  • Andrews JR; Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA.
Open Forum Infect Dis ; 8(7): ofab310, 2021 Jul.
Article in English | MEDLINE | ID: covidwho-1322651
Preprint
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ABSTRACT

BACKGROUND:

Given 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.

METHODS:

We 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 A549ACE2+ cells infected with SARS-CoV-2, following treatment with remdesivir or dimethylsulfoxide control.

RESULTS:

At 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 R 2 = 0.83), and the rate of increase did not differ significantly in the Lambda trial (1.36 cycles/d vs 1.36 cycles/d; P = .97) or the favipiravir trial (1.03 cycles/d vs 0.94 cycles/d; P = .26). From samples collected 15-21 days after symptom onset, sgRNA was detectable in 48.1% (40/83) of participants. In SARS-CoV-2-infected A549ACE2+ cells treated with remdesivir, the rate of Ct increase did not differ between gRNA and sgRNA.

CONCLUSIONS:

In 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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Topics: Long Covid Language: English Journal: Open Forum Infect Dis Year: 2021 Document Type: Article Affiliation country: Ofid

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Topics: Long Covid Language: English Journal: Open Forum Infect Dis Year: 2021 Document Type: Article Affiliation country: Ofid