Evidence map›Paper›PMID 32736569›Full record

ArticleJournal of translational medicine2020

A modular framework for the development of targeted Covid-19 blood transcript profiling panels.

Darawan Rinchai, Basirudeen Syed Ahamed Kabeer, Mohammed Toufiq, Zohreh Tatari-Calderone, Sara Deola, Tobias Brummaier, Mathieu Garand, Ricardo Branco, Nicole Baldwin, Mohamed Alfaki and 8 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

18 authors.

Darawan RinchaiSidra Medicine, Doha, Qatar.
Basirudeen Syed Ahamed KabeerSidra Medicine, Doha, Qatar.
Mohammed ToufiqSidra Medicine, Doha, Qatar.
Zohreh Tatari-CalderoneSidra Medicine, Doha, Qatar.
Sara DeolaSidra Medicine, Doha, Qatar.
Tobias BrummaierShoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand.
Mathieu GarandSidra Medicine, Doha, Qatar.
Ricardo BrancoSidra Medicine, Doha, Qatar.
Nicole BaldwinBaylor Institute for Immunology Research and Baylor Research Institute, Dallas, TX, USA.
Mohamed AlfakiSidra Medicine, Doha, Qatar.
Matthew C AltmanDivision of Allergy and Infectious Diseases, University of Washington, Seattle, WA, USA.
Alberto BallestreroDepartment of Internal Medicine, Università degli Studi di Genova, Genoa, Italy.
Matteo BassettiDivision of Infectious and Tropical Diseases, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Gabriele ZoppoliDepartment of Internal Medicine, Università degli Studi di Genova, Genoa, Italy.
Andrea De MariaDivision of Infectious and Tropical Diseases, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Benjamin TangNepean Clinical School, University of Sydney, Sydney, NSW, Australia.
Davide BedognettiSidra Medicine, Doha, Qatar.
Damien ChaussabelSidra Medicine, Doha, Qatar. dchaussabel@sidra.org.ORCID 0000-0002-6131-7242

Funding

Qatar National Research Fund NPRP 10-0205-170348
6 · The paper itself

Abstract

backgroundCovid-19 morbidity and mortality are associated with a dysregulated immune response. Tools are needed to enhance existing immune profiling capabilities in affected patients. Here we aimed to develop an approach to support the design of targeted blood transcriptome panels for profiling the immune response to SARS-CoV-2 infection.

methodsWe designed a pool of candidates based on a pre-existing and well-characterized repertoire of blood transcriptional modules. Available Covid-19 blood transcriptome data was also used to guide this process. Further selection steps relied on expert curation. Additionally, we developed several custom web applications to support the evaluation of candidates.

resultsAs a proof of principle, we designed three targeted blood transcript panels, each with a different translational connotation: immunological relevance, therapeutic development relevance and SARS biology relevance.

conclusionAltogether the work presented here may contribute to the future expansion of immune profiling capabilities via targeted profiling of blood transcript abundance in Covid-19 patients.

Indexed as

TranscriptomeAdultAntibodies, ViralBetacoronavirusCoronavirus InfectionsCOVID-19Gene Expression ProfilingHumansImmune SystemInternetPandemicsPneumonia, ViralRNA-SeqSARS-CoV-2SoftwareAntibodies, ViralBlood transcriptomicsCovid-19Immune monitoringSARS-CoV-2

Identifiers

PMID32736569
PMCPMC7393249

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.