Evidence map›Paper›PMID 34116667›Full record

ArticleBMC medical genomics2021

A blood RNA transcriptome signature for COVID-19.

Philip Kam Weng Kwan, Gail B Cross, Claire M Naftalin, Bintou A Ahidjo, Chee Keng Mok, Felic Fanusi, Intan Permata Sari, Siok Ching Chia, Shoban Krishna Kumar, Rawan Alagha and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  7. Role ofSaudi journal of biological sciences · 2023
    Article
  8. Article
  9. Article
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  12. Gene Expression Risk Scores for COVID-19 Illness Severity.The Journal of infectious diseases · 2023
    Article
  13. Review
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  15. Article
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  17. Gene Expression Risk Scores for COVID-19 Illness Severity.bioRxiv : the preprint server for biology · 2021
    Article
  18. 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

15 authors at 4 institutions in 2 countries.

Philip Kam Weng KwanDepartment of Medicine, Yong Loo Lin School of Medicine, National University Health System, National University of Singapore, Singapore, Singapore.
Gail B CrossDepartment of Medicine, Yong Loo Lin School of Medicine, National University Health System, National University of Singapore, Singapore, Singapore.
Claire M NaftalinDepartment of Medicine, Yong Loo Lin School of Medicine, National University Health System, National University of Singapore, Singapore, Singapore.
Bintou A AhidjoDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University Health System, National University of Singapore, Singapore, Singapore.
Chee Keng MokDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University Health System, National University of Singapore, Singapore, Singapore.
Felic FanusiDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University Health System, National University of Singapore, Singapore, Singapore.
Intan Permata SariDepartment of Medicine, Yong Loo Lin School of Medicine, National University Health System, National University of Singapore, Singapore, Singapore.
Siok Ching ChiaDepartment of Medicine, Yong Loo Lin School of Medicine, National University Health System, National University of Singapore, Singapore, Singapore.
Shoban Krishna KumarDivision of Infectious Diseases, Department of Medicine, National University Hospital, National University Health System, Singapore, Singapore.
Rawan AlaghaDivision of Infectious Diseases, Department of Medicine, National University Hospital, National University Health System, Singapore, Singapore.
Sai Meng ThamDivision of Infectious Diseases, Department of Medicine, National University Hospital, National University Health System, Singapore, Singapore.
Sophia ArchuletaDepartment of Medicine, Yong Loo Lin School of Medicine, National University Health System, National University of Singapore, Singapore, Singapore.
October M SessionsDepartment of Pharmacy, National University of Singapore, Singapore, Singapore.
Martin L HibberdDepartment of Medicine, Yong Loo Lin School of Medicine, National University Health System, National University of Singapore, Singapore, Singapore.
Nicholas I PatonDepartment of Medicine, Yong Loo Lin School of Medicine, National University Health System, National University of Singapore, Singapore, Singapore. nick_paton@nuhs.edu.sg.
National University of Singapore · SGNational University Hospital · SGNational University Health System · SGLondon School of Hygiene & Tropical Medicine · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 is a respiratory viral infection with unique features including a more chronic course and systemic disease manifestations including multiple organ involvement; and there are differences in disease severity between ethnic groups. The immunological basis for disease has not been fully characterised. Analysis of whole-blood RNA expression may provide valuable information on disease pathogenesis.

methodsWe studied 45 patients with confirmed COVID-19 infection within 10 days from onset of illness and a control group of 19 asymptomatic healthy volunteers with no known exposure to COVID-19 in the previous 14 days. Relevant demographic and clinical information was collected and a blood sample was drawn from all participants for whole-blood RNA sequencing. We evaluated differentially-expressed genes in COVID-19 patients (log2 fold change ≥ 1 versus healthy controls; false-discovery rate < 0.05) and associated protein pathways and compared these to published whole-blood signatures for respiratory syncytial virus (RSV) and influenza. We developed a disease score reflecting the overall magnitude of expression of internally-validated genes and assessed the relationship between the disease score and clinical disease parameters.

resultsWe found 135 differentially-expressed genes in the patients with COVID-19 (median age 35 years; 82% male; 36% Chinese, 53% South Asian ethnicity). Of the 117 induced genes, 14 were found in datasets from RSV and 40 from influenza; 95 genes were unique to COVID-19. Protein pathways were mostly generic responses to viral infections, including apoptosis by P53-associated pathway, but also included some unique pathways such as viral carcinogenesis. There were no major qualitative differences in pathways between ethnic groups. The composite gene-expression score was correlated with the time from onset of symptoms and nasal swab qPCR CT values (both p < 0.01) but was not related to participant age, gender, ethnicity or the presence or absence of chest X-ray abnormalities (all p > 0.05).

conclusionsThe whole-blood transcriptome of COVID-19 has overall similarity with other respiratory infections but there are some unique pathways that merit further exploration to determine clinical relevance. The approach to a disease score may be of value, but needs further validation in a population with a greater range of disease severity.

Indexed as

TranscriptomeAdultCarrier StateCOVID-19FemaleGene OntologyHumansMaleRNASARS-CoV-2Sequence Analysis, RNAUp-RegulationRNABiomarkersCOVID-19Gene expressionRNA sequencingSARS-CoV-2Whole blood

Identifiers

PMID34116667
PMCPMC8193593
OpenAlexW3166877689

What OpenQuestion holds

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LicenceCC BY
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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.