Mathematical Modelling Using Predictive Biomarkers for the Outcome of Canine Leishmaniasis upon Chemotherapy.

Autor:	de Sousa Gonçalves R; Laboratory of Veterinary Infectious Diseases, Teaching Hospital of Veterinary Medicine, Federal University of Bahia, 40170-110 Salvador, BA, Brazil.; Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057 Braga, Portugal.; ICVS/3B's-PT Government Associate Laboratory, 4710-057 Braga/Guimarães, Portugal., Alves de Pinho F; Laboratory of Veterinary Infectious Diseases, Teaching Hospital of Veterinary Medicine, Federal University of Bahia, 40170-110 Salvador, BA, Brazil.; Department of Veterinary Anatomy, Pathology and Clinics, School of Veterinary Medicine and Zootechny, Federal University of Bahia, Salvador 40170-110, BA, Brazil., Dinis-Oliveira RJ; Department of Public Health and Forensic Sciences, and Medical Education, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.; Department of Sciences, IINFACTS-Institute of Research and Advanced Training in Health Sciences and Technologies, University Institute of Health Sciences (IUCS), CESPU, CRL, 4585-116 Gandra, Portugal.; UCIBIO-REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal., Azevedo R; Department of Sciences, IINFACTS-Institute of Research and Advanced Training in Health Sciences and Technologies, University Institute of Health Sciences (IUCS), CESPU, CRL, 4585-116 Gandra, Portugal., Gaifem J; Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057 Braga, Portugal.; ICVS/3B's-PT Government Associate Laboratory, 4710-057 Braga/Guimarães, Portugal., Larangeira DF; Laboratory of Veterinary Infectious Diseases, Teaching Hospital of Veterinary Medicine, Federal University of Bahia, 40170-110 Salvador, BA, Brazil.; Department of Veterinary Anatomy, Pathology and Clinics, School of Veterinary Medicine and Zootechny, Federal University of Bahia, Salvador 40170-110, BA, Brazil., Ramos-Sanchez EM; Laboratory of Seroepidemiology and Immunobiology, Institute of Tropical Medicine, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo 05403-000, Brazil.; Departamento de Salud Publica, Facultad de Ciencias de La Salud, Universidad Nacional Toribio Rodriguez de Mendoza de Amazonas, Chachapoyas 01000, Peru., Goto H; Laboratory of Seroepidemiology and Immunobiology, Institute of Tropical Medicine, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo 05403-000, Brazil.; Department of Preventive Medicine, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-000, SP, Brazil., Silvestre R; Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057 Braga, Portugal.; ICVS/3B's-PT Government Associate Laboratory, 4710-057 Braga/Guimarães, Portugal., Barrouin-Melo SM; Laboratory of Veterinary Infectious Diseases, Teaching Hospital of Veterinary Medicine, Federal University of Bahia, 40170-110 Salvador, BA, Brazil.; Department of Veterinary Anatomy, Pathology and Clinics, School of Veterinary Medicine and Zootechny, Federal University of Bahia, Salvador 40170-110, BA, Brazil.
Jazyk:	angličtina
Zdroj:	Microorganisms [Microorganisms] 2020 May 15; Vol. 8 (5). Date of Electronic Publication: 2020 May 15.
DOI:	10.3390/microorganisms8050745
Abstrakt:	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. Competing Interests: The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
Databáze:	MEDLINE
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