Cargando…
A Dynamic Model for Estimating the Interaction of ROS–PUFA–Antioxidants in Rabbit
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 th...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944554/ https://www.ncbi.nlm.nih.gov/pubmed/35326181 http://dx.doi.org/10.3390/antiox11030531 |
_version_ | 1784673744323608576 |
---|---|
author | Mattioli, Simona Dimauro, Corrado Cesarani, Alberto Dal Bosco, Alessandro Bartolini, Desiree Galli, Francesco Migni, Anna Sebastiani, Bartolomeo Signorini, Cinzia Oger, Camille Collodel, Giulia Castellini, Cesare |
author_facet | Mattioli, Simona Dimauro, Corrado Cesarani, Alberto Dal Bosco, Alessandro Bartolini, Desiree Galli, Francesco Migni, Anna Sebastiani, Bartolomeo Signorini, Cinzia Oger, Camille Collodel, Giulia Castellini, Cesare |
author_sort | Mattioli, Simona |
collection | PubMed |
description | 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 (Kc1–Kc4) were added to assess body compensation when high levels of dietary PUFA were administered (Experiment 3). In conclusion, the model can be very useful for predicting the effects of dietary treatments on the redox homeostasis of rabbits. |
format | Online Article Text |
id | pubmed-8944554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89445542022-03-25 A Dynamic Model for Estimating the Interaction of ROS–PUFA–Antioxidants in Rabbit Mattioli, Simona Dimauro, Corrado Cesarani, Alberto Dal Bosco, Alessandro Bartolini, Desiree Galli, Francesco Migni, Anna Sebastiani, Bartolomeo Signorini, Cinzia Oger, Camille Collodel, Giulia Castellini, Cesare Antioxidants (Basel) Article 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 (Kc1–Kc4) were added to assess body compensation when high levels of dietary PUFA were administered (Experiment 3). In conclusion, the model can be very useful for predicting the effects of dietary treatments on the redox homeostasis of rabbits. MDPI 2022-03-10 /pmc/articles/PMC8944554/ /pubmed/35326181 http://dx.doi.org/10.3390/antiox11030531 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mattioli, Simona Dimauro, Corrado Cesarani, Alberto Dal Bosco, Alessandro Bartolini, Desiree Galli, Francesco Migni, Anna Sebastiani, Bartolomeo Signorini, Cinzia Oger, Camille Collodel, Giulia Castellini, Cesare A Dynamic Model for Estimating the Interaction of ROS–PUFA–Antioxidants in Rabbit |
title | A Dynamic Model for Estimating the Interaction of ROS–PUFA–Antioxidants in Rabbit |
title_full | A Dynamic Model for Estimating the Interaction of ROS–PUFA–Antioxidants in Rabbit |
title_fullStr | A Dynamic Model for Estimating the Interaction of ROS–PUFA–Antioxidants in Rabbit |
title_full_unstemmed | A Dynamic Model for Estimating the Interaction of ROS–PUFA–Antioxidants in Rabbit |
title_short | A Dynamic Model for Estimating the Interaction of ROS–PUFA–Antioxidants in Rabbit |
title_sort | dynamic model for estimating the interaction of ros–pufa–antioxidants in rabbit |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944554/ https://www.ncbi.nlm.nih.gov/pubmed/35326181 http://dx.doi.org/10.3390/antiox11030531 |
work_keys_str_mv | AT mattiolisimona adynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT dimaurocorrado adynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT cesaranialberto adynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT dalboscoalessandro adynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT bartolinidesiree adynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT gallifrancesco adynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT mignianna adynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT sebastianibartolomeo adynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT signorinicinzia adynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT ogercamille adynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT collodelgiulia adynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT castellinicesare adynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT mattiolisimona dynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT dimaurocorrado dynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT cesaranialberto dynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT dalboscoalessandro dynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT bartolinidesiree dynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT gallifrancesco dynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT mignianna dynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT sebastianibartolomeo dynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT signorinicinzia dynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT ogercamille dynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT collodelgiulia dynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit AT castellinicesare dynamicmodelforestimatingtheinteractionofrospufaantioxidantsinrabbit |