Evidence map›Paper›PMID 34135895›Full record

Observational studyFrontiers in immunology2021

Transcriptomic Signature Differences Between SARS-CoV-2 and Influenza Virus Infected Patients.

Stéphanie Bibert, Nicolas Guex, Joao Lourenco, Thomas Brahier, Matthaios Papadimitriou-Olivgeris, Lauro Damonti, Oriol Manuel, Robin Liechti, Lou Götz, Jonathan Tschopp and 15 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 10% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

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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

25 authors at 6 institutions in 2 countries.

Stéphanie BibertInfectious Diseases Service, Department of Medicine, University Hospital and University of Lausanne, Lausanne, Switzerland.
Nicolas GuexBioinformatics Competence Center, University of Lausanne, Lausanne, Switzerland.
Joao LourencoSIB Swiss Institute of Bioinformatics and Department of Fundamenal Oncology, University of Lausanne, Lausanne, Switzerland.
Thomas BrahierInfectious Diseases Service, Department of Medicine, University Hospital and University of Lausanne, Lausanne, Switzerland.
Matthaios Papadimitriou-OlivgerisInfectious Diseases Service, Department of Medicine, University Hospital and University of Lausanne, Lausanne, Switzerland.
Lauro DamontiInfectious Diseases Service, Department of Medicine, University Hospital and University of Lausanne, Lausanne, Switzerland.
Oriol ManuelInfectious Diseases Service and Transplantation Center, Department of Medicine, University Hospital and University of Lausanne, Lausanne, Switzerland.
Robin LiechtiBioinformatics Competence Center, University of Lausanne, Lausanne, Switzerland.
Lou GötzBioinformatics Competence Center, University of Lausanne, Lausanne, Switzerland.
Jonathan TschoppInfectious Diseases Service, Department of Medicine, University Hospital and University of Lausanne, Lausanne, Switzerland.
Mathieu QuinodozInstitute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland.
Peter VollenweiderInternal Medicine Service, Department of Medicine, University Hospital and University of Lausanne, Lausanne, Switzerland.
Jean-Luc PaganiDepartment of Adult Intensive Care Medicine, University Hospital and University of Lausanne, Lausanne, Switzerland.
Mauro OddoDepartment of Adult Intensive Care Medicine, University Hospital and University of Lausanne, Lausanne, Switzerland.
Olivier HügliEmergency Department, University Hospital and University of Lausanne, Lausanne, Switzerland.
Frédéric LamothInfectious Diseases Service, Department of Medicine, University Hospital and University of Lausanne, Lausanne, Switzerland.
Véronique ErardClinique de Médecine et spécialités, Infectiologie, Hôpital Fribourgeois-Fribourg, Fribourg, Switzerland.
Cathy VoideDepartment of Infectious Diseases, Central Institute, Valais Hospital, Sion, Switzerland.
Mauro DelorenziSIB Swiss Institute of Bioinformatics and Department of Fundamenal Oncology, University of Lausanne, Lausanne, Switzerland.
Nathalie RuferDepartment of Oncology, University Hospital and University of Lausanne, Epalinges, Switzerland.
Fabio CandottiDivision of Immunology and Allergy, University Hospital and University of Lausanne, Lausanne, Switzerland.
Carlo RivoltaInstitute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland.
Noémie Boillat-BlancoInfectious Diseases Service, Department of Medicine, University Hospital and University of Lausanne, Lausanne, Switzerland.
Pierre-Yves BochudInfectious Diseases Service, Department of Medicine, University Hospital and University of Lausanne, Lausanne, Switzerland.
RegCOVID Study Group
University of Lausanne · CHSIB Swiss Institute of Bioinformatics · CHHôpital du Valais · CHRéseau Fribourgeois de Santé Mentale · CHUniversity Hospital of Basel · CHUniversity of Leicester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reason why most individuals with COVID-19 have relatively limited symptoms while other develop respiratory distress with life-threatening complications remains unknown. Increasing evidence suggests that COVID-19 associated adverse outcomes mainly rely on dysregulated immunity. Here, we compared transcriptomic profiles of blood cells from 103 patients with different severity levels of COVID-19 with that of 27 healthy and 22 influenza-infected individuals. Data provided a complete overview of SARS-CoV-2-induced immune signature, including a dramatic defect in IFN responses, a reduction of toxicity-related molecules in NK cells, an increased degranulation of neutrophils, a dysregulation of T cells, a dramatic increase in B cell function and immunoglobulin production, as well as an important over-expression of genes involved in metabolism and cell cycle in patients infected with SARS-CoV-2 compared to those infected with influenza viruses. These features also differed according to COVID-19 severity. Overall and specific gene expression patterns across groups can be visualized on an interactive website (https://bix.unil.ch/covid/). Collectively, these transcriptomic host responses to SARS-CoV-2 infection are discussed in the context of current studies, thereby improving our understanding of COVID-19 pathogenesis and shaping the severity level of COVID-19.

Indexed as

COVID-19HumansInfluenza, HumanSARS-CoV-2TranscriptomeCOVID-19immune profilinginfluenzaRNA-sequencingSARS-CoV-2whole blood transcriptome

Identifiers

PMID34135895
PMCPMC8202013
OpenAlexW3167650903

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.