Evidence map›Paper›PMID 36678760›Full record

ArticlePharmaceutics2022

Pharmacokinetics and Pharmacodynamics (PK/PD) of Corallopyronin A against Methicillin-Resistant

Katharina Rox, Tim Becker, Andrea Schiefer, Miriam Grosse, Alexandra Ehrens, Rolf Jansen, Tilman Aden, Stefan Kehraus, Gabriele M König, Anna K Krome and 5 more

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

15 authors at 4 institutions in 1 country.

Katharina RoxDepartment of Chemical Biology, Helmholtz Centre for Infection Research (HZI), Inhoffenstrasse 7, 38124 Braunschweig, Germany.ORCID 0000-0002-8020-1384
Tim BeckerDepartment of Pharmaceutical Technology and Biopharmaceutics, University of Bonn, Gerhard-Domagk-Strasse 3, 53121 Bonn, Germany.
Andrea SchieferGerman Center for Infection Research (DZIF), Partner-Site Bonn-Cologne, 53127 Bonn, Germany.
Miriam GrosseGerman Center for Infection Research (DZIF), Partner-Site Hannover-Braunschweig, 38124 Braunschweig, Germany.
Alexandra EhrensGerman Center for Infection Research (DZIF), Partner-Site Bonn-Cologne, 53127 Bonn, Germany.ORCID 0000-0002-2570-4034
Rolf JansenDepartment of Microbial Drugs, Helmholtz Centre for Infection Research (HZI), Inhoffenstrasse 7, 38124 Braunschweig, Germany.ORCID 0000-0002-3592-4807
Tilman AdenGerman Center for Infection Research (DZIF), Partner-Site Bonn-Cologne, 53127 Bonn, Germany.ORCID 0000-0001-6344-0968
Stefan KehrausGerman Center for Infection Research (DZIF), Partner-Site Bonn-Cologne, 53127 Bonn, Germany.
Gabriele M KönigGerman Center for Infection Research (DZIF), Partner-Site Bonn-Cologne, 53127 Bonn, Germany.
Anna K KromeDepartment of Pharmaceutical Technology and Biopharmaceutics, University of Bonn, Gerhard-Domagk-Strasse 3, 53121 Bonn, Germany.
Marc P HübnerGerman Center for Infection Research (DZIF), Partner-Site Bonn-Cologne, 53127 Bonn, Germany.
Karl G WagnerDepartment of Pharmaceutical Technology and Biopharmaceutics, University of Bonn, Gerhard-Domagk-Strasse 3, 53121 Bonn, Germany.ORCID 0000-0003-2864-7191
Marc StadlerGerman Center for Infection Research (DZIF), Partner-Site Hannover-Braunschweig, 38124 Braunschweig, Germany.ORCID 0000-0002-7284-8671
Kenneth PfarrGerman Center for Infection Research (DZIF), Partner-Site Bonn-Cologne, 53127 Bonn, Germany.ORCID 0000-0003-3096-2465
Achim HoeraufGerman Center for Infection Research (DZIF), Partner-Site Bonn-Cologne, 53127 Bonn, Germany.
University Hospital Bonn · DEUniversity of Bonn · DEGerman Center for Infection Research · DEHelmholtz Centre for Infection Research · DE

Funding

Deutsche Forschungsgemeinschaft KO902/5-1Deutsche Forschungsgemeinschaft PF673/3-1Federal Ministry of Education and Research 16GW0227KFederal Ministry of Education and Research 16GW0229German Center for Infection Research TTU 09.70German Center for Infection Research TTU 09.701German Center for Infection Research TTU 09.719German Center for Infection Research TTU 09.806German Center for Infection Research TTU 09.807German Center for Infection Research TTU 09.822German Center for Infection Research TTU 09.914
6 · The paper itself

Abstract

Methicillin-resistant Staphylococcus aureus (MRSA) is a World Health Organization’s high priority pathogen organism, with an estimated > 100,000 deaths worldwide in 2019. Thus, there is an unmet medical need for novel and resistance-breaking anti-infectives. The natural product Co-rallopyronin A (CorA), currently in preclinical development for filariasis, is efficacious against MRSA in vitro. In this study, we evaluated the pharmacokinetics of CorA after dosing in mice. Furthermore, we determined compound concentrations in target compartments, such as lung, kidney and thigh tissue, using LC-MS/MS. Based on the pharmacokinetic results, we evaluated the pharmacodynamic profile of CorA using the standard neutropenic thigh and lung infection models. We demonstrate that CorA is effective in both standard pharmacodynamic models. In addition to reaching effective levels in the lung and muscle, CorA was detected at high levels in the thigh bone. The data presented herein encourage the further exploration of the additional CorA indications treatment of MRSA- and methicillin-sensitive S. aureus- (MSSA) related infections.

Indexed as

natural productpharmacodynamicspharmacokineticsPK/PDStaphylococcus aureus

Identifiers

PMID36678760
PMCPMC9860980
OpenAlexW4313471579

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.