Evidence map›Paper›PMID 36973809›Full record

ArticleJournal of inflammation (London, England)2023

Network analyses reveal new insights into the effect of multicomponent Tr14 compared to single-component diclofenac in an acute inflammation model.

Matti Hoch, Suchi Smita, Konstantin Cesnulevicius, Myron Schultz, David Lescheid, Olaf Wolkenhauer, Shailendra Gupta

Open access · goldFull text read
In one paragraph

Article in Journal of inflammation (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  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

7 authors at 3 institutions in 2 countries.

Matti HochDepartment of Systems Biology and Bioinformatics, University of Rostock, Rostock, 18055, Germany.
Suchi SmitaDepartment of Systems Biology and Bioinformatics, University of Rostock, Rostock, 18055, Germany.
Konstantin CesnuleviciusHeel GmbH, Baden-Baden, 76532, Germany.
Myron SchultzHeel GmbH, Baden-Baden, 76532, Germany.
David LescheidHeel GmbH, Baden-Baden, 76532, Germany.
Olaf WolkenhauerDepartment of Systems Biology and Bioinformatics, University of Rostock, Rostock, 18055, Germany.
Shailendra GuptaDepartment of Systems Biology and Bioinformatics, University of Rostock, Rostock, 18055, Germany. shailendra.gupta@uni-rostock.de.
Heel (Germany) · DEUniversity of Rostock · DELeibniz-Institute for Food Systems Biology at the Technical University of Munich · DE

Funding

Bundesministerium für Bildung und Forschung 01ZX1905B
6 · The paper itself

Abstract

backgroundModifying the acute inflammatory response has wide clinical benefits. Current options include non-steroidal anti-inflammatory drugs (NSAIDs) and therapies that may resolve inflammation. Acute inflammation involves multiple cell types and various processes. We, therefore, investigated whether an immunomodulatory drug that acts simultaneously at multiple sites shows greater potential to resolve acute inflammation more effectively and with fewer side effects than a common anti-inflammatory drug developed as a small molecule for a single target. In this work, we used time-series gene expression profiles from a wound healing mouse model to compare the effects of Traumeel (Tr14), a multicomponent natural product, to diclofenac, a single component NSAID on inflammation resolution.

resultsWe advance previous studies by mapping the data onto the "Atlas of Inflammation Resolution", followed by in silico simulations and network analysis. We found that Tr14 acts primarily on the late phase of acute inflammation (during resolution) compared to diclofenac, which suppresses acute inflammation immediately after injury.

conclusionsOur results provide new insights how network pharmacology of multicomponent drugs may support inflammation resolution in inflammatory conditions.

Indexed as

Acute inflammationDiclofenacInflammation resolutionMultitarget drugsNetwork modelingNetwork pharmacologySystems biologyTraumeel

Identifiers

PMID36973809
PMCPMC10044762
OpenAlexW4360994716

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read9
table measurements read3
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.