Dogs are the main reservoir host for zoonotic visceral leishmaniasis caused by Leishmania infantum. In this study we investigated the immune response in spleens of L. infantum-infected dogs by measuring the mRNA expression levels for a wide panel of cytokines, transcription factors and chemokines. mRNA levels and parasite load were followed during 7 months of experimental infection and 14 months post-treatment, and were compared to naturally-infected (NI) dogs. Similarly, serum anti-Leishmania IgG and IgG subclass levels were measured during experimental infection. An increase in IFN-gamma, T-bet, IP-10 and RANTES was found in the experimentally and NI dogs, implicating a substantial type-1 immune response during canine visceral leishmaniasis. IL-4, a type-2 associated cytokine, increased as early as one month after experimental infection, while IL-5 was high at later stages. Interestingly, the expression levels of the Treg-associated cytokines, IL-10 and TGF-beta, did not change during the infection. Total anti-Leishmania IgG and IgG subclasses increased during the experimental infection. However, no association with specific cytokine patterns was observed. Parasite load in the spleens increased as early as one month post-infection and remained high until treatment. The load was higher in the polysymptomatic NI dogs than in the experimentally-infected dogs. This study indicates that both type-1 and type-2 immune responses occur in the spleen during canine L. infantum infection, and suggests that the early elevation of IL-4 might have a role in the persistence of parasites in the presence of high IFN-gamma expression.
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http://dx.doi.org/10.1051/vetres:2007015 | DOI Listing |
Lymphology
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Department of Preventive and Restorative Dentistry, Discipline of Endodontics, Araçatuba School of Dentistry, São Paulo State University - UNESP, Araçatuba, SP, Brazil.
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Microbiome analysis has become a crucial tool for basic and translational research due to its potential for translation into clinical practice. However, there is ongoing controversy regarding the comparability of different bioinformatic analysis platforms and a lack of recognized standards, which might have an impact on the translational potential of results. This study investigates how the performance of different microbiome analysis platforms impacts the final results of mucosal microbiome signatures.
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Department of Molecular Biology and Microbiology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
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