Circulating immune complexes in dogs with Leishmania infantum infection in a non-endemic country
Abstract
Circulating immune complexes (CIC) cause different organ lesions in canine leishmaniosis. This study aimed to measure CIC in dogs infected with Leishmania (L.) infantum in a non-endemic country and to analyze associations with disease parameters. Measurement of Leishmania -specific CIC was performed by a polyethylene glycol ELISA (cut-off: 0.274 optical density (OD)) every three months during a one-year study period in 52 L. infantum -infected dogs. Each appointment included a physical examination, complete blood count, serum biochemistry including C-reactive protein, urinalysis, L. infantum PCR and antibody ELISA. Statistical analyses included Mann-Whitney U tests, a multivariable robust linear regression, Spearman correlation, univariable logistic regression, and a receiver operating characteristic (ROC) curve. CIC levels differed significantly between dogs with and without lymphadenopathy ( p < 0.01; β =−0.38; 95% CI: −0.52, −0.24), uveitis ( p < 0.01; β=− 0.52; 95% CI: −0.89, −0.15), seborrhea/hypotrichosis ( p = 0.04; β =−0.11; 95% CI: −0.21, −0.01), and skin nodules ( p < 0.01; β = 0.22; 95% CI: 0.13, 0.31). Significant moderate to strong correlations with CIC levels were found for L. infantum antibodies ( p < 0.01; r s = 0.65; 95% CI: 0.57, 0.72), globulin ( p < 0.01; r s = 0.60; 95% CI: 0.51, 0.68), albumin-to-globulin ratio (p < 0.01; r s =−0.56; 95% CI: −0.65, −0.47) and total protein ( p < 0.01; r s = 0.46; 95% CI: 0.35, 0.56). CIC levels were significantly higher in dogs with positive lymph node PCR ( p = 0.04) as well as in dogs with disease relapses ( p < 0.01). The ROC curve analysis revealed one highly specific cut-off value at 1.668 OD for differentiating between dogs with and without disease relapse (98% specificity; 60% sensitivity). Measurement of Leishmania -specific CIC is useful for monitoring dogs with L. infantum infections and for indicating disease relapse.
Article Details
Authors (7)
Melanie Kaempfle
Katrin Hartmann
Yury Zablotski
Roswitha Dorsch
Nuria Parody
Jerónimo Carnés
Michèle Bergmann