Evidence map›Paper›PMID 32880920›Full record

ArticleFEBS letters2020

Transcriptomic analyses suggest that mucopolysaccharidosis patients may be less susceptible to COVID-19.

Karolina Pierzynowska, Lidia Gaffke, Grzegorz Węgrzyn

Open access · bronzeAbstract read
In one paragraph

Article in FEBS letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Editorial: Molecular Aspects of Mucopolysaccharidoses.Frontiers in molecular biosciences · 2022
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. [Inherited metabolic liver disease-associated infection].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2021
    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

3 authors at 1 institution in 1 country.

Karolina PierzynowskaDepartment of Molecular Biology, University of Gdańsk, Gdańsk, Poland.
Lidia GaffkeDepartment of Molecular Biology, University of Gdańsk, Gdańsk, Poland.
Grzegorz WęgrzynDepartment of Molecular Biology, University of Gdańsk, Gdańsk, Poland.ORCID 0000-0003-4042-7466
University of Gdańsk · PL

Funding

Narodowe Centrum Nauki 2017/25/B/NZ2/00414
6 · The paper itself

Abstract

We used transcriptomic (RNA-seq) analyses to determine whether patients suffering from all types and subtypes of mucopolysaccharidosis (MPS), a severe inherited metabolic disease, may be more susceptible to coronavirus disease 2019 (COVID-19). The expression levels of genes encoding proteins potentially involved in SARS-CoV-2 development were estimated in MPS cell lines. Four genes (GTF2F2, RAB18, TMEM97, PDE4DIP) coding for proteins potentially facilitating virus development were down-regulated, while two genes (FBN1, MFGE8), the products of which potentially interfere with virus propagation, were up-regulated in most MPS types. Although narrowing of respiratory tract and occurrence of thick mucus, characteristic of MPS, are risk factors for COVID-19, transcriptomic analyses suggest that MPS cells might be less, rather than more, susceptible to SARS-CoV-2 infection.

Indexed as

Virus InternalizationAngiotensin-Converting Enzyme 2Cells, CulturedCOVID-19FibroblastsGene Expression ProfilingGenetic Predisposition to DiseaseHumansMucopolysaccharidosesSARS-CoV-2Serine EndopeptidasesTranscriptomeACE2 protein, humanAngiotensin-Converting Enzyme 2Serine EndopeptidasesTMPRSS2 protein, humanCOVID-19mucopolysaccharidosistranscriptomic analyses

Identifiers

PMID32880920
PMCPMC7461230
OpenAlexW3049139236

What OpenQuestion holds

Textmetadata
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.