Evidence map›Paper›PMID 36362378›Full record

ArticleInternational journal of molecular sciences2022

Buffy Coat Transcriptomic Analysis Reveals Alterations in Host Cell Protein Synthesis and Cell Cycle in Severe COVID-19 Patients.

Liliane Tavares de Faria Cavalcante, Guilherme Cordenonsi da Fonseca, Luciane Almeida Amado Leon, Andreza Lemos Salvio, Otávio José Brustolini, Alexandra Lehmkuhl Gerber, Ana Paula de Campos Guimarães, Carla Augusta Barreto Marques, Renan Amphilophio Fernandes, Carlos Henrique Ferreira Ramos Filho and 5 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 10 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

15 authors at 6 institutions in 2 countries.

Liliane Tavares de Faria CavalcanteLaboratório de Bioinformática, Laboratório Nacional de Computação Científica, Petrópolis, Rio de Janeiro 25651-076, Brazil.ORCID 0000-0002-4808-8158
Guilherme Cordenonsi da FonsecaLaboratório de Bioinformática, Laboratório Nacional de Computação Científica, Petrópolis, Rio de Janeiro 25651-076, Brazil.ORCID 0000-0002-0007-9834
Luciane Almeida Amado LeonLaboratório de Desenvolvimento Tecnológico em Virologia, Instituto Oswaldo Cruz/FIOCRUZ, Rio de Janeiro 21040-360, Brazil.
Andreza Lemos SalvioLaboratório de Neurociências Translacional, Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro 20211-040, Brazil.
Otávio José BrustoliniLaboratório de Bioinformática, Laboratório Nacional de Computação Científica, Petrópolis, Rio de Janeiro 25651-076, Brazil.
Alexandra Lehmkuhl GerberLaboratório de Bioinformática, Laboratório Nacional de Computação Científica, Petrópolis, Rio de Janeiro 25651-076, Brazil.
Ana Paula de Campos GuimarãesLaboratório de Bioinformática, Laboratório Nacional de Computação Científica, Petrópolis, Rio de Janeiro 25651-076, Brazil.
Carla Augusta Barreto MarquesLaboratório de Neurociências Translacional, Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro 20211-040, Brazil.
Renan Amphilophio FernandesLaboratório de Neurociências Translacional, Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro 20211-040, Brazil.ORCID 0000-0003-2505-039X
Carlos Henrique Ferreira Ramos FilhoLaboratory of Translacional Neurosciences, Biomedical Institute, Universidade Estadual do Rio de Janeiro, Rio de Janeiro 20550-013, Brazil.
Rafael Lopes KaderHospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil.ORCID 0000-0002-2350-168X
Marisa Pimentel AmaroHospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil.
João Paulo da Costa GonçalvesLaboratório de Neurociências Translacional, Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro 20211-040, Brazil.
Soniza Vieira Alves-LeonLaboratório de Neurociências Translacional, Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro 20211-040, Brazil.ORCID 0000-0002-1538-6730
Ana Tereza Ribeiro VasconcelosLaboratório de Bioinformática, Laboratório Nacional de Computação Científica, Petrópolis, Rio de Janeiro 25651-076, Brazil.ORCID 0000-0002-4632-2086
Laboratório Nacional de Computação Científica · BRUniversidade Federal do Rio de Janeiro · BRUniversidade Federal do Estado do Rio de Janeiro · BRFundação Oswaldo Cruz · BRUniversidade do Estado do Rio de Janeiro · BRYale New Haven Hospital · US

Funding

Financiadora de Estudos e Projetos 01.20.0029.000462/20Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/201.040/2021Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/201.046/2022Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/201.406/2021Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/210.179/2020Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/210.254/2020Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/210.273/2018Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/210.657/2021Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/211.107/2021National Council for Scientific and Technological Development 307145/2021-2National Council for Scientific and Technological Development 404096/2020-4
6 · The paper itself

Abstract

Transcriptome studies have reported the dysregulation of cell cycle-related genes and the global inhibition of host mRNA translation in COVID-19 cases. However, the key genes and cellular mechanisms that are most affected by the severe outcome of this disease remain unclear. For this work, the RNA-seq approach was used to study the differential expression in buffy coat cells of two groups of people infected with SARS-CoV-2: (a) Mild, with mild symptoms; and (b) SARS (Severe Acute Respiratory Syndrome), who were admitted to the intensive care unit with the severe COVID-19 outcome. Transcriptomic analysis revealed 1009 up-regulated and 501 down-regulated genes in the SARS group, with 10% of both being composed of long non-coding RNA. Ribosome and cell cycle pathways were enriched among down-regulated genes. The most connected proteins among the differentially expressed genes involved transport dysregulation, proteasome degradation, interferon response, cytokinesis failure, and host translation inhibition. Furthermore, interactome analysis showed Fibrillarin to be one of the key genes affected by SARS-CoV-2. This protein interacts directly with the N protein and long non-coding RNAs affecting transcription, translation, and ribosomal processes. This work reveals a group of dysregulated processes, including translation and cell cycle, as key pathways altered in severe COVID-19 outcomes.

Indexed as

COVID-19RNA, Long NoncodingCell CycleGene Expression ProfilingHumansSARS-CoV-2TranscriptomeRNA, Long Noncodingbiomarkersbuffy coatCOVID-19FBLICU patientslncRNARNA-seqSARS-CoV-2

Identifiers

PMID36362378
PMCPMC9659271
OpenAlexW4308522312

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.