Evidence map›Paper›PMID 36668868›Full record

ArticleToxins2023

Enzymatic Degradation of Zearalenone in the Gastrointestinal Tract of Pigs, Chickens, and Rainbow Trout.

Christiane Gruber-Dorninger, Manuela Killinger, Andreas Höbartner-Gußl, Roy Rosen, Barbara Doupovec, Markus Aleschko, Heidi Schwartz-Zimmermann, Oliver Greitbauer, Zoran Marković, Marko Stanković and 4 more

Open access · goldAbstract read
In one paragraph

Article in Toxins, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
7.5field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

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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

14 authors at 2 institutions in 2 countries.

Christiane Gruber-DorningerDSM-BIOMIN Research Center, 3430 Tulln, Austria.ORCID 0000-0003-0407-6013
Manuela KillingerDSM-BIOMIN Research Center, 3430 Tulln, Austria.
Andreas Höbartner-GußlDSM-BIOMIN Research Center, 3430 Tulln, Austria.
Roy RosenDSM-BIOMIN Research Center, 3430 Tulln, Austria.
Barbara DoupovecDSM-BIOMIN Research Center, 3430 Tulln, Austria.
Markus AleschkoDSM-BIOMIN Research Center, 3430 Tulln, Austria.
Heidi Schwartz-ZimmermannInstitute of Bioanalytics and Agro-Metabolomics, Department of Agrobiotechnology (IFA-Tulln), University of Natural Resources and Life Sciences, Vienna, 3430 Tulln, Austria.ORCID 0000-0003-2897-7991
Oliver GreitbauerDSM-BIOMIN Research Center, 3430 Tulln, Austria.
Zoran MarkovićFaculty of Agriculture, Institute of Animal Sciences, University of Belgrade, 11080 Belgrade, Serbia.
Marko StankovićFaculty of Agriculture, Institute of Animal Sciences, University of Belgrade, 11080 Belgrade, Serbia.ORCID 0000-0002-0555-5297
Karin SchöndorferDSM-BIOMIN Research Center, 3430 Tulln, Austria.
Djuro VukmirovicDSM-BIOMIN Research Center, 3430 Tulln, Austria.
Silvia WeinDSM-BIOMIN Research Center, 3430 Tulln, Austria.
Dian SchatzmayrDSM-BIOMIN Research Center, 3430 Tulln, Austria.
University of Belgrade · RSBOKU University · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The estrogenic mycotoxin zearalenone (ZEN) is a common contaminant of animal feed. Effective strategies for the inactivation of ZEN in feed are required. The ZEN-degrading enzyme zearalenone hydrolase ZenA (EC 3.1.1.-, commercial name ZEN

Indexed as

MycotoxinsOncorhynchus mykissZearalenoneAnimal FeedAnimalsChickensGastrointestinal TractSwineMycotoxinsZearalenonechickendegradationenzymefeed additivefishgastrointestinalhydrolaserainbow troutswinezearalenone

Identifiers

PMID36668868
PMCPMC9865282
OpenAlexW4313646672

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.