Evidence map›Paper›PMID 35326181›Full record

ArticleAntioxidants (Basel, Switzerland)2022

A Dynamic Model for Estimating the Interaction of ROS-PUFA-Antioxidants in Rabbit.

Simona Mattioli, Corrado Dimauro, Alberto Cesarani, Alessandro Dal Bosco, Desiree Bartolini, Francesco Galli, Anna Migni, Bartolomeo Sebastiani, Cinzia Signorini, Camille Oger and 2 more

Open access · goldAbstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 14 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

12 authors at 5 institutions in 2 countries.

Simona MattioliDepartment of Agricultural, Environmental and Food Science, University of Perugia, Borgo 20 Giugno, 74, 06123 Perugia, Italy.ORCID 0000-0001-5063-6785
Corrado DimauroDepartment of Agricultural Sciences, University of Sassari, Sassari, Viale Italia, 39, 07100 Sassari, Italy.
Alberto CesaraniDepartment of Agricultural Sciences, University of Sassari, Sassari, Viale Italia, 39, 07100 Sassari, Italy.ORCID 0000-0003-4637-8669
Alessandro Dal BoscoDepartment of Agricultural, Environmental and Food Science, University of Perugia, Borgo 20 Giugno, 74, 06123 Perugia, Italy.
Desiree BartoliniDepartment of Pharmaceutical Sciences, University of Perugia, Via Enrico Dal Pozzo, 06126 Perugia, Italy.ORCID 0000-0003-3849-757X
Francesco GalliDepartment of Pharmaceutical Sciences, University of Perugia, Via Enrico Dal Pozzo, 06126 Perugia, Italy.ORCID 0000-0003-3626-051X
Anna MigniDepartment of Life Science and System Biology, Università di Torino, Via Accademia Albertina, 13, 10123 Torino, Italy.
Bartolomeo SebastianiDepartment of Chemistry, Biology and Biotechnology, Via del Giochetto, University of Perugia, 06126 Perugia, Italy.
Cinzia SignoriniDepartment of Molecular and Developmental Medicine, University of Siena, Policlinico Santa Maria alle Scotte, Viale Bracci 16, 53100 Siena, Italy.
Camille OgerInstitut des Biomolécules Max Mousseron (IBMM), Pôle Chimie Balard Recherche, 1919 route de Mende, CEDEX 05, 34293 Montpellier, France.ORCID 0000-0002-5177-5792
Giulia CollodelDepartment of Molecular and Developmental Medicine, University of Siena, Policlinico Santa Maria alle Scotte, Viale Bracci 16, 53100 Siena, Italy.ORCID 0000-0003-1587-0159
Cesare CastelliniDepartment of Agricultural, Environmental and Food Science, University of Perugia, Borgo 20 Giugno, 74, 06123 Perugia, Italy.ORCID 0000-0002-6134-0901
University of Perugia · ITUniversity of Sassari · ITUniversity of Siena · ITAccademia Albertina delle Belle Arti · ITInstitut des Biomolécules Max Mousseron · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Defining optimal nutrition in animals and humans remains a main scientific challenge. The objective of the work was to develop a dynamic model of reactive oxygen species (ROS)-polyunsaturated fatty acid (PUFA)-antioxidant homeostasis using the rabbit as a model. The problem entity was to evaluate the main metabolites generated from interactions between traits included in the conceptual model and identified by three main sub-models: (i) ROS generation, (ii) PUFA oxidation and (iii) antioxidant defence. A mathematical model (VENSIM software) that consisted of molecular stocks (INPUTs, OUTPUTs), exchange flows (intermediate OUTPUTs) and process rates was developed. The calibration was performed by using standard experimental data (Experiment 1), whereas the validation was carried out in Experiments 2 and 3 by using supra-nutritional dietary inputs (VIT E+ and PUFA+). The accuracy of the models was measured using 95% confidence intervals. Analytical OUTPUTs (ROS, PUFA, Vit E, Ascorbic acid, Iso-/NeuroProstanes, Aldehydes) were well described by the standard model. There was also good accuracy for the VIT E+ scenario, whereas some compensatory rates (K

Indexed as

antioxidantsdynamic modelmetabolismoxidationpolyunsaturated fatty acids

Identifiers

PMID35326181
PMCPMC8944554
OpenAlexW4221003478

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.