Evidence map›Paper›PMID 36317071›Full record

ArticleMedical hypotheses2022

Proposal for the use of an inhalation drug containing 2-5 oligoadenylates for treatment of COVID-19.

Gernot Bruchelt, Jörn Treuner, Karlheinz Schmidt

Open access · greenAbstract read
In one paragraph

Article in Medical hypotheses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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 3 institutions in 1 country.

Gernot BrucheltEichenweg 1, 72076 Tübingen, Germany.
Jörn TreunerTalstr. 41, 72622 Nürtingen, Germany.
Karlheinz SchmidtÄußere Weilerstr. 12, 72810 Gomaringen, Germany.
Ford (Germany) · DENürtingen-Geislingen University of Applied Science · DEUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interferons (IFN), first described 1957 by Isaacs and Lindemann, are antiviral proteins generated in cells after viral infections. One of several interferon-induced effector mechanisms is the so called 2-5A / RNaseL system: Interferon is produced in the virus-affected cells and released. After binding to cell membrane receptors of adjacent cells, 2-5 A synthetase (oligoadenylate synthetase, OAS) is generated, attaches to dsRNA section areas of the viral RNA and catalyses the production of 2-5 oligoadenylates from ATP. In 2-5 oligoadenylates, several adenosine residues (3-4 and more) are combined via phosphodiester binding in the unusual 2'-5' positions of the riboses. 2-5 oligoadenylates activate a RNaseL which degrades the viral RNA. Recently, characteristic gene mutations and other disturbances concerning the interferon system were detected in patients with severe COVID-19, leading to problems of 2-5 oligoadenylate synthesis and the activation of RNAseL. In order to circumvent these problems, we hypothesize that a direct application of 2-5 oligoadenylates, included in an inhalation spray, may be effective in treatment of severe COVID-19 infections of the respiratory system. In contrast to some other anti-COVID-19 drugs, oligoadenylates act inside the cells (like e.g. Paxlovid) and are therefore independent of cell surface mutations of the virus. For confirmation of our hypothesis, proof of concept investigations in vitro are suggested, before a possible clinical application can be considered.

Indexed as

2-5A/RNaseL system2-5 OligoadenylatesCOVID-19InterferonSARS-CoV-2

Identifiers

PMID36317071
PMCPMC9605919
OpenAlexW4307645740

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.