Evidence map›Paper›PMID 33363465›Full record

ArticleFrontiers in pharmacology2020

MicroRNAs Bioinformatics Analyses Identifying HDAC Pathway as a Putative Target for Existing Anti-COVID-19 Therapeutics.

Laura Teodori, Piero Sestili, Valeria Madiai, Sofia Coppari, Daniele Fraternale, Marco Bruno Luigi Rocchi, Seeram Ramakrishna, Maria Cristina Albertini

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.0field-weighted citation impact, top 13% 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

28 citing papers in PubMed, 47 citations in OpenAlex.

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  15. miRNA expression in COVID-19.Gene reports · 2022
    Review
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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

8 authors at 3 institutions in 2 countries.

Laura TeodoriDiagnostics and Metrology Laboratory, FSN-TECFIS-DIM, ENEA Frascati, Roma, Italy.
Piero SestiliDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy.
Valeria MadiaiDiagnostics and Metrology Laboratory, FSN-TECFIS-DIM, ENEA Frascati, Roma, Italy.
Sofia CoppariDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy.
Daniele FraternaleDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy.
Marco Bruno Luigi RocchiDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy.
Seeram RamakrishnaCenter for Nanofibers and Nanotechnology, National University of Singapore, Singapore, Singapore.
Maria Cristina AlbertiniDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy.
University of Urbino · ITNational Agency for New Technologies, Energy and Sustainable Economic Development · ITNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over 313,000 SARS-CoV-2 positive cases have been confirmed in Italy as of 30 September 2020, and the number of deaths exceeding thirty-five thousand makes Italy among the list of most significantly affected countries in the world. Such an enormous occurrence of infections and death raises the urgent demand for effective available treatments. Discovering the cellular/molecular mechanisms of SARS-CoV-2 pathogenicity is of paramount importance to understand how the infection becomes a disease and how to plan any therapeutic approach. In this regard, we performed an

Indexed as

ACE2COVID-19HDAChypertensionoff‐label drugsSARS-CoV-2

Identifiers

PMID33363465
PMCPMC7753186
OpenAlexW3110648335

What Socratic 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 Socratic graph.