Evidence map›Paper›PMID 33364201›Full record

ReviewFrontiers in cellular and infection microbiology2020

Cathepsin L in COVID-19: From Pharmacological Evidences to Genetics.

Caio P Gomes, Danilo E Fernandes, Fernanda Casimiro, Gustavo F da Mata, Michelle T Passos, Patricia Varela, Gianna Mastroianni-Kirsztajn, João Bosco Pesquero

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed
3.1field-weighted citation impact, top 5% 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

91 citing papers in PubMed, 155 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Famotidine increases cellular phospho-tyrosine levels.Biochemical and biophysical research communications · 2024
    Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Article

31 more citing papers are in PubMed but not listed here.

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

8 authors at 1 institution in 1 country.

Caio P GomesCenter for Research and Molecular Diagnostic of Genetic Diseases, Department of Biophysics, Federal University of São Paulo, São Paulo, Brazil.
Danilo E FernandesDivision of Nephrology, Department of Medicine, Federal University of São Paulo, São Paulo, Brazil.
Fernanda CasimiroCenter for Research and Molecular Diagnostic of Genetic Diseases, Department of Biophysics, Federal University of São Paulo, São Paulo, Brazil.
Gustavo F da MataDivision of Nephrology, Department of Medicine, Federal University of São Paulo, São Paulo, Brazil.
Michelle T PassosDivision of Nephrology, Department of Medicine, Federal University of São Paulo, São Paulo, Brazil.
Patricia VarelaCenter for Research and Molecular Diagnostic of Genetic Diseases, Department of Biophysics, Federal University of São Paulo, São Paulo, Brazil.
Gianna Mastroianni-KirsztajnDivision of Nephrology, Department of Medicine, Federal University of São Paulo, São Paulo, Brazil.
João Bosco PesqueroCenter for Research and Molecular Diagnostic of Genetic Diseases, Department of Biophysics, Federal University of São Paulo, São Paulo, Brazil.
Universidade Federal de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemics is a challenge without precedent for the modern science. Acute Respiratory Discomfort Syndrome (ARDS) is the most common immunopathological event in SARS-CoV-2, SARS-CoV, and MERS-CoV infections. Fast lung deterioration results of cytokine storm determined by a robust immunological response leading to ARDS and multiple organ failure. Here, we show cysteine protease Cathepsin L (CatL) involvement with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and COVID-19 from different points of view. CatL is a lysosomal enzyme that participates in numerous physiological processes, including apoptosis, antigen processing, and extracellular matrix remodeling. CatL is implicated in pathological conditions like invasion and metastasis of tumors, inflammatory status, atherosclerosis, renal disease, diabetes, bone diseases, viral infection, and other diseases. CatL expression is up-regulated during chronic inflammation and is involved in degrading extracellular matrix, an important process for SARS-CoV-2 to enter host cells. In addition, CatL is probably involved in processing SARS-CoV-2 spike protein. As its inhibition is detrimental to SARS-CoV-2 infection and possibly exit from cells during late stages of infection, CatL could have been considered a valuable therapeutic target. Therefore, we describe here some drugs already in the market with potential CatL inhibiting capacity that could be used to treat COVID-19 patients. In addition, we discuss the possible role of host genetics in the etiology and spreading of the disease.

Indexed as

PandemicsAcute Kidney InjuryAmantadineAngiotensin-Converting Enzyme 2Cathepsin LChloroquineCOVID-19COVID-19 Drug TreatmentCysteine Proteinase InhibitorsGenetic Predisposition to DiseaseHeparinHumansHydroxychloroquineLysosomesMolecular Targeted TherapyReceptors, VirusACE2 protein, humanAmantadineAngiotensin-Converting Enzyme 2Cathepsin LChloroquineCTSL protein, humanCysteine Proteinase InhibitorsHeparinHydroxychloroquineReceptors, VirusSerine EndopeptidasesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2TeicoplaninTMPRSS2 protein, humancathepsin LcathepsinsCOVID-19pandemicsSARS-CoV-2

Identifiers

PMID33364201
PMCPMC7753008
OpenAlexW3113283058

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.