Evidence map›Paper›PMID 39412283›Full record

ArticlemSphere2024

Optimization of SARS-CoV-2 culture from clinical samples for clinical trial applications.

Dominic Wooding, Kate Buist, Alessandra Romero-Ramirez, Helen Savage, Rachel Watkins, Daisy Bengey, Caitlin Greenland-Bews, Caitlin R Thompson, Nadia Kontogianni, Richard Body and 13 more

Abstract read
In one paragraph

Article in mSphere, 2024. 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
–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

1 citing paper in PubMed.

  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

23 authors.

Dominic Wooding *Centre for Drugs and Diagnostics, Liverpool School of Tropical Medicine and Hygiene, Liverpool, United Kingdom.
Kate Buist *Centre for Drugs and Diagnostics, Liverpool School of Tropical Medicine and Hygiene, Liverpool, United Kingdom.
Alessandra Romero-Ramirez *Centre for Drugs and Diagnostics, Liverpool School of Tropical Medicine and Hygiene, Liverpool, United Kingdom.ORCID 0000-0002-8610-7815
Helen SavageDepartment of Clinical Sciences, Liverpool School of Tropical Medicine and Hygiene, Liverpool, United Kingdom.
Rachel WatkinsCentre for Drugs and Diagnostics, Liverpool School of Tropical Medicine and Hygiene, Liverpool, United Kingdom.
Daisy BengeyCentre for Drugs and Diagnostics, Liverpool School of Tropical Medicine and Hygiene, Liverpool, United Kingdom.
Caitlin Greenland-BewsCentre for Drugs and Diagnostics, Liverpool School of Tropical Medicine and Hygiene, Liverpool, United Kingdom.
Caitlin R ThompsonCentre for Drugs and Diagnostics, Liverpool School of Tropical Medicine and Hygiene, Liverpool, United Kingdom.
Nadia KontogianniCentre for Drugs and Diagnostics, Liverpool School of Tropical Medicine and Hygiene, Liverpool, United Kingdom.
Richard BodyManchester University NHS Foundation Trust, Research and Innovation, Manchester, United Kingdom.
Gail HaywardNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Rachel L ByrneDepartment of Clinical Sciences, Liverpool School of Tropical Medicine and Hygiene, Liverpool, United Kingdom.ORCID 0000-0001-5398-3125
Susan GouldCentre for Drugs and Diagnostics, Liverpool School of Tropical Medicine and Hygiene, Liverpool, United Kingdom.
CONDOR Steering Group
Christopher MyerscoughCentre for Drugs and Diagnostics, Liverpool School of Tropical Medicine and Hygiene, Liverpool, United Kingdom.
Barry AtkinsonResearch and Evaluation, UK Health Security Agency, Porton Down, Salisbury, United Kingdom.
Victoria ShawUniversity of Liverpool, Liverpool, United Kingdom.
Bill GreenhalfUniversity of Liverpool, Liverpool, United Kingdom.
Emily AdamsCentre for Drugs and Diagnostics, Liverpool School of Tropical Medicine and Hygiene, Liverpool, United Kingdom.
Ana Cubas-AtienzarCentre for Drugs and Diagnostics, Liverpool School of Tropical Medicine and Hygiene, Liverpool, United Kingdom.ORCID 0000-0002-9604-124X
Saye KhooUniversity of Liverpool, Liverpool, United Kingdom.
Tom FletcherDepartment of Clinical Sciences, Liverpool School of Tropical Medicine and Hygiene, Liverpool, United Kingdom.
Thomas EdwardsCentre for Drugs and Diagnostics, Liverpool School of Tropical Medicine and Hygiene, Liverpool, United Kingdom.ORCID 0000-0003-4058-4461

Funding

Medical Research Council MR/V028391/1Wellcome Trust
6 · The paper itself

Abstract

Clinical trials of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) therapeutics often include virological secondary endpoints to compare viral clearance and viral load reduction between treatment and placebo arms. This is typically achieved using quantitative reverse-transcriptase PCR (RT-qPCR), which cannot differentiate replicant competent virus from non-viable virus or free RNA, limiting its utility as an endpoint. Culture-based methods for SARS-CoV-2 exist; however, these are often insensitive and poorly standardized for use as clinical trial endpoints. We report optimization of a culture-based approach evaluating three cell lines, three detection methods, and key culture parameters. We show that Vero-angiotensin-converting enzyme 2-transmembrane serine protease 2 cells in combination with RT-qPCR of culture supernatants from the first passage provides the greatest overall detection of Delta viral replication (22 of 32, 68.8%), being able to identify viable virus in 83.3% (20 of 24) of clinical samples with initial Ct values of <30. Likewise, we demonstrate that RT-qPCR using culture supernatants from the first passage of Vero human signaling lymphocytic activation molecule cells provides the highest overall detection of Omicron viral replication (9 of 31, 29%), detecting live virus in 39.1% (9 of 23) of clinical samples with initial Ct values of <25. This assessment demonstrates that combining RT-qPCR with virological endpoint analysis has utility in clinical trials of therapeutics for SARS-CoV-2; however, techniques may require optimization based on dominant circulating strain. IMPORTANCE: RT-qPCR is commonly used for virological endpoints during clinical trials for antiviral therapy to determine the quantity and presence of virus in a sample. However, RT-qPCR identifies viral RNA and cannot determine if viable virus is present. Existing culture-based techniques for SARS-CoV-2 are insensitive and not sufficiently standardized to be employed as clinical study endpoints. The use of a culture system to monitor replicating viruses could mitigate the possibility of molecular techniques identifying viral RNA from inactive or lysed viral particles. The methodology optimized in this study for detecting infectious viruses may have application as a secondary virological endpoint in clinical trials of therapeutics for SARS-CoV-2 in addition to numerous research processes.

Indexed as

Clinical Trials as TopicCOVID-19SARS-CoV-2Viral LoadVirus ReplicationAnimalsCell LineChlorocebus aethiopsHumansRNA, ViralVero CellsVirus CultivationRNA, Viralclinical trialsCOVID-19molecular diagnostics

Identifiers

PMID39412283
PMCPMC11580409

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.