Evidence map›Paper›PMID 33073064›Full record

ArticleJACC. Basic to translational science2020

Cardiorenal Tissues Express SARS-CoV-2 Entry Genes and Basigin (BSG/CD147) Increases With Age in Endothelial Cells.

Blerina Ahmetaj-Shala, Ricky Vaja, Santosh S Atanur, Peter M George, Nicholas S Kirkby, Jane A Mitchell

Open access · goldAbstract read
In one paragraph

Article in JACC. Basic to translational science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. SARS-CoV-2 uptake and inflammatory response in senescent endothelial cells are regulated by the BSG/VEGFR2 pathway.Proceedings of the National Academy of Sciences of the United States of America · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Blerina Ahmetaj-ShalaCardiorespiratory Interface, National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Ricky VajaCardiorespiratory Interface, National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Santosh S AtanurDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom.
Peter M GeorgeCardiorespiratory Interface, National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Nicholas S KirkbyCardiorespiratory Interface, National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Jane A MitchellCardiorespiratory Interface, National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Imperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vascular and cardiovascular inflammation and thrombosis occur in patients with severe coronavirus disease-2019 (COVID-19). Advancing age is the most significant risk factor for severe COVID-19. Using transcriptomic databases, the authors found that: 1) cardiovascular tissues and endothelial cells express putative genes for severe acute respiratory syndrome coronavirus-2 infection, including angiotensin-converting enzyme 2 (

Indexed as

ACE2, angiotensin converting enzyme 2ADAM17, ADAM metallopeptidase domain 17ageBSG, basigincardiovascularCOVID-19COVID-19, coronavirus disease-2019CTSB, cathepsin BCTSL, cathepsin Lendothelial cellsGTEx, Genotype-Tissue ExpressionPBMC, peripheral blood mononuclear cellsPPIA, peptidylprolyl isomerase APPIB, peptidylprolyl isomerase BSARS-CoV-2, severe acute respiratory syndrome-coronavirus-2TMPRSS2, transmembrane serine protease 2

Identifiers

PMID33073064
PMCPMC7546186
OpenAlexW3091837768

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.