Evidence map›Paper›PMID 35311586›Full record

ArticleMicrobiology spectrum2022

Profiling of SARS-CoV-2 Subgenomic RNAs in Clinical Specimens.

Zigui Chen, Rita Way Yin Ng, Grace Lui, Lowell Ling, Chit Chow, Apple Chung Man Yeung, Siaw Shi Boon, Maggie Haitian Wang, Kate Ching Ching Chan, Renee Wan Yi Chan and 2 more

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.1field-weighted citation impact, top 7% 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, 32 citations in OpenAlex.

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  12. Abortive infection of bat fibroblasts with SARS-CoV-2.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

12 authors at 1 institution in 2 countries.

Zigui ChenDepartment of Microbiology, Faculty of Medicine, The Chinese University of Hong Konggrid.10784.3a, Hong Kong Special Administrative Region, China.ORCID 0000-0002-8577-1298
Rita Way Yin NgDepartment of Microbiology, Faculty of Medicine, The Chinese University of Hong Konggrid.10784.3a, Hong Kong Special Administrative Region, China.
Grace LuiDepartment of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Konggrid.10784.3a, Hong Kong Special Administrative Region, China.
Lowell LingDepartment of Anaesthesia and Intensive Care, Faculty of Medicine, The Chinese University of Hong Konggrid.10784.3a, Hong Kong Special Administrative Region, China.
Chit ChowDepartment of Anatomical and Cellular Pathology, Faculty of Medicine, The Chinese University of Hong Konggrid.10784.3a, Hong Kong Special Administrative Region, China.
Apple Chung Man YeungDepartment of Microbiology, Faculty of Medicine, The Chinese University of Hong Konggrid.10784.3a, Hong Kong Special Administrative Region, China.
Siaw Shi BoonDepartment of Microbiology, Faculty of Medicine, The Chinese University of Hong Konggrid.10784.3a, Hong Kong Special Administrative Region, China.ORCID 0000-0001-9772-2971
Maggie Haitian WangJockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Konggrid.10784.3a, Hong Kong Special Administrative Region, China.
Kate Ching Ching ChanDepartment of Paediatrics, Faculty of Medicine, The Chinese University of Hong Konggrid.10784.3a, Hong Kong Special Administrative Region, China.
Renee Wan Yi ChanDepartment of Paediatrics, Faculty of Medicine, The Chinese University of Hong Konggrid.10784.3a, Hong Kong Special Administrative Region, China.
David Shu Cheong HuiDepartment of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Konggrid.10784.3a, Hong Kong Special Administrative Region, China.
Paul Kay Sheung ChanDepartment of Microbiology, Faculty of Medicine, The Chinese University of Hong Konggrid.10784.3a, Hong Kong Special Administrative Region, China.ORCID 0000-0002-6360-4608
Chinese University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 transcribes a set of subgenomic RNAs (sgRNAs) essential for the translation of structural and accessory proteins to sustain its life cycle. We applied RNA-seq on 375 respiratory samples from individual COVID-19 patients and revealed that the majority of the sgRNAs were canonical transcripts with N being the most abundant (36.2%), followed by S (11.6%), open reading frame 7a (ORF7a; 10.3%), M (8.4%), ORF3a (7.9%), ORF8 (6.0%), E (4.6%), ORF6 (2.5%), and ORF7b (0.3%); but ORF10 was not detected. The profile of most sgRNAs, except N, showed an independent association with viral load, time of specimen collection after onset, age of the patient, and S-614D/G variant with ORF7b and then ORF6 being the most sensitive to changes in these characteristics. Monitoring of 124 serial samples from 10 patients using sgRNA-specific real-time RT-PCR revealed a potential of adopting sgRNA as a marker of viral activity. Respiratory samples harboring a full set of canonical sgRNAs were mainly collected early within 1 to 2 weeks from onset, and most of the stool samples (90%) were negative for sgRNAs despite testing positive by diagnostic PCR targeting genomic RNA. ORF7b was the first to become undetectable and again being the most sensitive surrogate marker for a full set of canonical sgRNAs in clinical samples. The potential of using sgRNA to monitor viral activity and progression of SARS-CoV-2 infection, and hence as one of the objective indicators to triage patients for isolation and treatment should be considered.

Indexed as

COVID-19SARS-CoV-2HumansOpen Reading FramesRNA, ViralViral LoadRNA, ViralCOVID-19RNA-seqRT-PCRSARS-CoV-2subgenomic

Identifiers

PMID35311586
PMCPMC9045320
OpenAlexW4221128098

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.