Author(s): Gonçalves, Rafaela de Sousa ; 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
Date: 2020
Persistent ID: https://hdl.handle.net/1822/65507
Origin: RepositóriUM - Universidade do Minho
Subject(s): mathematical model; treatment; hematological parameters; biochemical parameters; Leishmania
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.
