Resumo
Abstract Cyathostomins are the most prevalent nematodes of horses, and multidrug resistance has been reported worldwide. There is a need to implement alternative drug monitoring analytical tests. The objective of this study was to determine the consistency (5 repetitions) of the larval migration on agar test (LMAT) using ivermectin, moxidectin, pyrantel or albendazole against cyathostomin infective-stage larvae in eight different concentrations. LMAT showed a strong coefficient of determination (R2 > 0.91), between the test repetitions (n=5). The average 50% effective concentration (EC50) for ivermectin, moxidectin, pyrantel and albendazole were 0.0404, 0.0558, 0.0864 and 0.0988 nMol, respectively. The results of the EC50 for albendazole showed the greatest range of concentration. Ivermectin and moxidectin had the lowest in between-test variation. In the future, internationally certified susceptible isolates could be used for screening new drug candidates, or to follow up the pattern of drug efficacy from field populations.
Resumo Ciatostomíneos são os nematodas mais prevalentes em equinos e a resistência múltipla foi relatada em todo o mundo. Existe a necessidade de implementar o monitoramento dos produtos com testes analíticos alternativos. O objetivo deste estudo foi determinar a consistência (5 repetições) do teste de migração larval em ágar (TMLA) usando ivermectina, moxidectina, pirantel e albendazole contra larvas infectantes de ciatostomíneos em oito concentrações diferentes. O TMLA demonstrou um coeficiente de determinação (R2) acima de 0,91 entre as repetições do teste. A concentração efetiva para 50% (CE50) para ivermectina, moxidectina, pirantel e albendazole foi de 0,0404; 0,0558; 0,0864 e 0,0988 nMol, respectivamente. A CE50 do albendazole demonstrou a maior amplitude entre os testes. A ivermectina e a moxidectina tiveram as menores variações das doses entre as repetições. No futuro, isolados certificados susceptíveis poderão ser testados com o TMLA para indicação de novos produtos e mesmo para acompanhar o perfil de eficácia de populações do campo.
Resumo
Abstract Cyathostomins are the most prevalent nematodes of horses, and multidrug resistance has been reported worldwide. There is a need to implement alternative drug monitoring analytical tests. The objective of this study was to determine the consistency (5 repetitions) of the larval migration on agar test (LMAT) using ivermectin, moxidectin, pyrantel or albendazole against cyathostomin infective-stage larvae in eight different concentrations. LMAT showed a strong coefficient of determination (R2 > 0.91), between the test repetitions (n=5). The average 50% effective concentration (EC50) for ivermectin, moxidectin, pyrantel and albendazole were 0.0404, 0.0558, 0.0864 and 0.0988 nMol, respectively. The results of the EC50 for albendazole showed the greatest range of concentration. Ivermectin and moxidectin had the lowest in between-test variation. In the future, internationally certified susceptible isolates could be used for screening new drug candidates, or to follow up the pattern of drug efficacy from field populations.
Resumo Ciatostomíneos são os nematodas mais prevalentes em equinos e a resistência múltipla foi relatada em todo o mundo. Existe a necessidade de implementar o monitoramento dos produtos com testes analíticos alternativos. O objetivo deste estudo foi determinar a consistência (5 repetições) do teste de migração larval em ágar (TMLA) usando ivermectina, moxidectina, pirantel e albendazole contra larvas infectantes de ciatostomíneos em oito concentrações diferentes. O TMLA demonstrou um coeficiente de determinação (R2) acima de 0,91 entre as repetições do teste. A concentração efetiva para 50% (CE50) para ivermectina, moxidectina, pirantel e albendazole foi de 0,0404; 0,0558; 0,0864 e 0,0988 nMol, respectivamente. A CE50 do albendazole demonstrou a maior amplitude entre os testes. A ivermectina e a moxidectina tiveram as menores variações das doses entre as repetições. No futuro, isolados certificados susceptíveis poderão ser testados com o TMLA para indicação de novos produtos e mesmo para acompanhar o perfil de eficácia de populações do campo.
Resumo
Background: Leptospirosis is an important zoonotic disease associated with poor areas of urban settings of developing countries and early diagnosis and prompt treatment may prevent disease. Although rodents are reportedly considered the main reservoirs of leptospirosis, dogs may develop the disease, may become asymptomatic carriers and may be used as sentinels for disease epidemiology. The use of Geographical Information Systems (GIS) combined with spatial analysis techniques allows the mapping of the disease and the identifi cation and assessment of health risk factors. Besides the use of GIS and spatial analysis, the technique of data mining, decision tree, can provide a great potential to fi nd a pattern in the behavior of the variables that determine the occurrence of leptospirosis. The objective of the present study was to apply Geographical Information Systems and data prospection (decision tree) to evaluate the risk factors for canine leptospirosis in an area of Curitiba, PR.Materials, Methods & Results: The present study was performed on the Vila Pantanal, a urban poor community in the city of Curitiba. A total of 287 dog blood samples were randomly obtained house-by-house in a two-day sampling on January 2010. In addition, a questionnaire was applied to owners at the time of sampling. Geographical coordinates related to each household of tested dog were obtained us
Background: Leptospirosis is an important zoonotic disease associated with poor areas of urban settings of developing countries and early diagnosis and prompt treatment may prevent disease. Although rodents are reportedly considered the main reservoirs of leptospirosis, dogs may develop the disease, may become asymptomatic carriers and may be used as sentinels for disease epidemiology. The use of Geographical Information Systems (GIS) combined with spatial analysis techniques allows the mapping of the disease and the identifi cation and assessment of health risk factors. Besides the use of GIS and spatial analysis, the technique of data mining, decision tree, can provide a great potential to fi nd a pattern in the behavior of the variables that determine the occurrence of leptospirosis. The objective of the present study was to apply Geographical Information Systems and data prospection (decision tree) to evaluate the risk factors for canine leptospirosis in an area of Curitiba, PR.Materials, Methods & Results: The present study was performed on the Vila Pantanal, a urban poor community in the city of Curitiba. A total of 287 dog blood samples were randomly obtained house-by-house in a two-day sampling on January 2010. In addition, a questionnaire was applied to owners at the time of sampling. Geographical coordinates related to each household of tested dog were obtained us
Resumo
Background: Leptospirosis is an important zoonotic disease associated with poor areas of urban settings of developing countries and early diagnosis and prompt treatment may prevent disease. Although rodents are reportedly considered the main reservoirs of leptospirosis, dogs may develop the disease, may become asymptomatic carriers and may be used as sentinels for disease epidemiology. The use of Geographical Information Systems (GIS) combined with spatial analysis techniques allows the mapping of the disease and the identifi cation and assessment of health risk factors. Besides the use of GIS and spatial analysis, the technique of data mining, decision tree, can provide a great potential to fi nd a pattern in the behavior of the variables that determine the occurrence of leptospirosis. The objective of the present study was to apply Geographical Information Systems and data prospection (decision tree) to evaluate the risk factors for canine leptospirosis in an area of Curitiba, PR.Materials, Methods & Results: The present study was performed on the Vila Pantanal, a urban poor community in the city of Curitiba. A total of 287 dog blood samples were randomly obtained house-by-house in a two-day sampling on January 2010. In addition, a questionnaire was applied to owners at the time of sampling. Geographical coordinates related to each household of tested dog were obtained us
Background: Leptospirosis is an important zoonotic disease associated with poor areas of urban settings of developing countries and early diagnosis and prompt treatment may prevent disease. Although rodents are reportedly considered the main reservoirs of leptospirosis, dogs may develop the disease, may become asymptomatic carriers and may be used as sentinels for disease epidemiology. The use of Geographical Information Systems (GIS) combined with spatial analysis techniques allows the mapping of the disease and the identifi cation and assessment of health risk factors. Besides the use of GIS and spatial analysis, the technique of data mining, decision tree, can provide a great potential to fi nd a pattern in the behavior of the variables that determine the occurrence of leptospirosis. The objective of the present study was to apply Geographical Information Systems and data prospection (decision tree) to evaluate the risk factors for canine leptospirosis in an area of Curitiba, PR.Materials, Methods & Results: The present study was performed on the Vila Pantanal, a urban poor community in the city of Curitiba. A total of 287 dog blood samples were randomly obtained house-by-house in a two-day sampling on January 2010. In addition, a questionnaire was applied to owners at the time of sampling. Geographical coordinates related to each household of tested dog were obtained us