Evidence map›Paper›PMID 36650374›Full record

ArticleScientific reports2023

Blood leukocyte transcriptional modules and differentially expressed genes associated with disease severity and age in COVID-19 patients.

Silvia Y Bando, Fernanda B Bertonha, Sandra E Vieira, Danielle B L de Oliveira, Vanessa N Chalup, Edison L Durigon, Patricia Palmeira, Ana Cristina P Curi, Caroline S Faria, Leila Antonangelo and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 5 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

14 authors at 2 institutions in 1 country.

Silvia Y Bando *Department of Pediatrics, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 05403-900, Brazil.ORCID 0000-0003-3794-2440
Fernanda B Bertonha *Department of Pediatrics, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 05403-900, Brazil.ORCID 0000-0002-3675-1362
Sandra E Vieira *Department of Pediatrics, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 05403-900, Brazil.ORCID 0000-0001-5100-8713
Danielle B L de OliveiraInstituto Israelita de Ensino e Pesquisa Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, SP, 01310-200, Brazil.ORCID 0000-0002-0534-0886
Vanessa N ChalupDepartment of Microbiology, Laboratory of Clinical and Molecular Virology, Institute of Biomedical Sciences, Universidade de São Paulo, São Paulo, SP, 05508-040, Brazil.ORCID 0000-0002-9433-0443
Edison L DurigonDepartment of Microbiology, Laboratory of Clinical and Molecular Virology, Institute of Biomedical Sciences, Universidade de São Paulo, São Paulo, SP, 05508-040, Brazil.ORCID 0000-0003-4898-6553
Patricia PalmeiraDepartment of Pediatrics, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 05403-900, Brazil.ORCID 0000-0002-6268-8141
Ana Cristina P CuriDepartment of Pediatrics, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 05403-900, Brazil.ORCID 0000-0002-9480-7248
Caroline S FariaLaboratório de Investigação Médica (LIM03), Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 01246-903, Brazil.ORCID 0000-0001-5272-2169
Leila AntonangeloLaboratório de Investigação Médica (LIM03), Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 01246-903, Brazil.ORCID 0000-0002-8634-5100
Gerhard da P LauterbachDepartment of Internal Medicine, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 01246-903, Brazil.ORCID 0000-0002-1448-8153
Fabiane A RegalioDivisão de Anestesia, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 01246-903, Brazil.
Roberto M CesarDepartment of Computer Science, Instituto de Matemática e Estatística da Universidade de São Paulo, São Paulo, SP, 05508-040, Brazil.ORCID 0000-0003-2701-4288
Carlos A Moreira-FilhoDepartment of Pediatrics, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 05403-900, Brazil. cmoreira@usp.br.ORCID 0000-0003-3433-4714
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the molecular mechanisms determining COVID-19 severity are not yet well understood, there is a demand for biomarkers derived from comparative transcriptome analyses of mild and severe cases, combined with patients' clinico-demographic and laboratory data. Here the transcriptomic response of human leukocytes to SARS-CoV-2 infection was investigated by focusing on the differences between mild and severe cases and between age subgroups (younger and older adults). Three transcriptional modules correlated with these traits were functionally characterized, as well as 23 differentially expressed genes (DEGs) associated to disease severity. One module, correlated with severe cases and older patients, had an overrepresentation of genes involved in innate immune response and in neutrophil activation, whereas two other modules, correlated with disease severity and younger patients, harbored genes involved in the innate immune response to viral infections, and in the regulation of this response. This transcriptomic mechanism could be related to the better outcome observed in younger COVID-19 patients. The DEGs, all hyper-expressed in the group of severe cases, were mostly involved in neutrophil activation and in the p53 pathway, therefore related to inflammation and lymphopenia. These biomarkers may be useful for getting a better stratification of risk factors in COVID-19.

Indexed as

Age FactorsCOVID-19Patient AcuityBiomarkersHumansLeukocytesSARS-CoV-2TranscriptomeBiomarkers

Identifiers

PMID36650374
PMCPMC9844197
OpenAlexW4316813167

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.