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Mathematical Modelling Using Predictive Biomarkers for the Outcome of Canine Leishmaniasis upon Chemotherapy
Prediction parameters of possible outcomes of canine leishmaniasis (CanL) therapy might help with therapeutic decisions and animal health care. Here, we aimed to develop a diagnostic method with predictive value by analyzing two groups of dogs with CanL, those that exhibited a decrease in parasite l...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285289/ https://www.ncbi.nlm.nih.gov/pubmed/32429309 http://dx.doi.org/10.3390/microorganisms8050745 |
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author | de Sousa Gonçalves, Rafaela Alves de Pinho, Flaviane Dinis-Oliveira, Ricardo Jorge Azevedo, Rui Gaifem, Joana Farias Larangeira, Daniela Ramos-Sanchez, Eduardo Milton Goto, Hiro Silvestre, Ricardo Barrouin-Melo, Stella Maria |
author_facet | de Sousa Gonçalves, Rafaela Alves de Pinho, Flaviane Dinis-Oliveira, Ricardo Jorge Azevedo, Rui Gaifem, Joana Farias Larangeira, Daniela Ramos-Sanchez, Eduardo Milton Goto, Hiro Silvestre, Ricardo Barrouin-Melo, Stella Maria |
author_sort | de Sousa Gonçalves, Rafaela |
collection | PubMed |
description | Prediction parameters of possible outcomes of canine leishmaniasis (CanL) therapy might help with therapeutic decisions and animal health care. Here, we aimed to develop a diagnostic method with predictive value by analyzing two groups of dogs with CanL, those that exhibited a decrease in parasite load upon antiparasitic treatment (group: responders) and those that maintained high parasite load despite the treatment (group: non-responders). The parameters analyzed were parasitic load determined by q-PCR, hemogram, serum biochemistry and immune system-related gene expression signature. A mathematical model was applied to the analysis of these parameters to predict how efficient their response to therapy would be. Responder dogs restored hematological and biochemical parameters to the reference values and exhibited a Th1 cell activation profile with a linear tendency to reach mild clinical alteration stages. Differently, non-responders developed a mixed Th1/Th2 response and exhibited markers of liver and kidney injury. Erythrocyte counts and serum phosphorus were identified as predictive markers of therapeutic response at an early period of assessment of CanL. The results presented in this study are highly encouraging and may represent a new paradigm for future assistance to clinicians to interfere precociously in the therapeutic approach, with a more precise definition in the patient’s prognosis. |
format | Online Article Text |
id | pubmed-7285289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72852892020-06-17 Mathematical Modelling Using Predictive Biomarkers for the Outcome of Canine Leishmaniasis upon Chemotherapy de Sousa Gonçalves, Rafaela Alves de Pinho, Flaviane Dinis-Oliveira, Ricardo Jorge Azevedo, Rui Gaifem, Joana Farias Larangeira, Daniela Ramos-Sanchez, Eduardo Milton Goto, Hiro Silvestre, Ricardo Barrouin-Melo, Stella Maria Microorganisms Article Prediction parameters of possible outcomes of canine leishmaniasis (CanL) therapy might help with therapeutic decisions and animal health care. Here, we aimed to develop a diagnostic method with predictive value by analyzing two groups of dogs with CanL, those that exhibited a decrease in parasite load upon antiparasitic treatment (group: responders) and those that maintained high parasite load despite the treatment (group: non-responders). The parameters analyzed were parasitic load determined by q-PCR, hemogram, serum biochemistry and immune system-related gene expression signature. A mathematical model was applied to the analysis of these parameters to predict how efficient their response to therapy would be. Responder dogs restored hematological and biochemical parameters to the reference values and exhibited a Th1 cell activation profile with a linear tendency to reach mild clinical alteration stages. Differently, non-responders developed a mixed Th1/Th2 response and exhibited markers of liver and kidney injury. Erythrocyte counts and serum phosphorus were identified as predictive markers of therapeutic response at an early period of assessment of CanL. The results presented in this study are highly encouraging and may represent a new paradigm for future assistance to clinicians to interfere precociously in the therapeutic approach, with a more precise definition in the patient’s prognosis. MDPI 2020-05-15 /pmc/articles/PMC7285289/ /pubmed/32429309 http://dx.doi.org/10.3390/microorganisms8050745 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article de Sousa Gonçalves, Rafaela Alves de Pinho, Flaviane Dinis-Oliveira, Ricardo Jorge Azevedo, Rui Gaifem, Joana Farias Larangeira, Daniela Ramos-Sanchez, Eduardo Milton Goto, Hiro Silvestre, Ricardo Barrouin-Melo, Stella Maria Mathematical Modelling Using Predictive Biomarkers for the Outcome of Canine Leishmaniasis upon Chemotherapy |
title | Mathematical Modelling Using Predictive Biomarkers for the Outcome of Canine Leishmaniasis upon Chemotherapy |
title_full | Mathematical Modelling Using Predictive Biomarkers for the Outcome of Canine Leishmaniasis upon Chemotherapy |
title_fullStr | Mathematical Modelling Using Predictive Biomarkers for the Outcome of Canine Leishmaniasis upon Chemotherapy |
title_full_unstemmed | Mathematical Modelling Using Predictive Biomarkers for the Outcome of Canine Leishmaniasis upon Chemotherapy |
title_short | Mathematical Modelling Using Predictive Biomarkers for the Outcome of Canine Leishmaniasis upon Chemotherapy |
title_sort | mathematical modelling using predictive biomarkers for the outcome of canine leishmaniasis upon chemotherapy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285289/ https://www.ncbi.nlm.nih.gov/pubmed/32429309 http://dx.doi.org/10.3390/microorganisms8050745 |
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