نتایج جستجو برای: ehrlichiosis canis
تعداد نتایج: 7813 فیلتر نتایج به سال:
Canine babesiosis has recently been recognized as an emerging infectious disease of dogs in North America. We sought to develop a seminested PCR to detect and differentiate Babesia gibsoni (Asian genotype), B. canis subsp. vogeli, B. canis subsp. canis, and B. canis subsp. rossi DNA in canine blood samples. An outer primer pair was designed to amplify an approximately 340-bp fragment of the 18S...
The immune response expressed by IgG antibodies in BALB/c mice experimentally infected with Toxocara canis, was studied with the aim of verifying the possible in vivo cross-reactivity between antigens of T. canis and other parasites (Ascaris suum, Taenia crassiceps, Schistosoma mansoni, Strongyloides venezuelensis and Toxoplasma gondii). Experiments included three groups of mice: one infected o...
The genus Babesia comprises protozoa that cause diseases known as babesiosis. Dogs are commonly affected by Babesia canis or Babesia gibsoni. Babesia canis is divided into the subspecies Babesia canis canis, Babesia canis vogeli and Babesia canis rossi. Among these, Babesia canis vogeli predominates in Brazil. The objective of this study was to conduct a phylogenetic analysis on Babesia isolate...
Aim: To determine the seroprevalence of vector(tick)-borne Babesia canis, Babesia gibsoni, Ehrlichia canis and Borrelia burgdorferi and mosquito-borne Dirofilaria immitis in naturally exposed pet, working, and street dogs in Assam, India. Materials and Methods: Seroprevalence of B. canis and B. gibsoni was determined using Indirect Fluorescent Antibody Test (IFAT) kit and for D. immitis, E. can...
We aimed to investigate IgG antibody levels specific to Toxocara canis (T. canis), a parasite which subsists in dog's intestine, on serum samples obtained from patients with chronic urticaria (CU) to evaluate effective risk in CU etiopathogenesis. In this study, 73 patients diagnosed with CU and 109 healthy individuals as control group, were included. Various factors such as sex, age, education...
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