Canine visceral leishmaniasis: seroprevalence and risk factors in Cuiabá, Mato Grosso, Brazil

In Brazil, canine visceral leishmaniasis (CVL) is endemic and the number of cases in humans and dogs has increased in the Midwest region. A transversal study was carried out in endemic areas from Cuiabá, State of Mato Grosso, to assess data on seroprevalence and risk factors associated to canine infection. Four hundred and thirty (430) dogs were randomly evaluated through indirect fluorescence antibody test (IFAT) considering variables related to the animals, the environment and the knowledge by owners on CVL aspects and control. From 430 dogs, 95 (22.1%) were seroreagent for leishmaniasis and animals living in rural environments present risk 1.9 times higher for acquiring the disease than those in urban environments (p = 0.01; OR 1.9). Factors related to animals' habits, such as free access to the street and guard function were considered indicators to predict infection by Leishmania sp. (p < 0.05) by statistical univariate analysis. The presence of agricultural activities was also a fact that contributed for the insurgence of the infection (p = 0.02; OR 1.68). The results contributed to the knowledge on the aspects of CVL in Cuiabá and point to an urgent need to include educational and sanitary programs in the city, since the region presents favorable characteristics for spreading the infection of CVL as already observed in other Brazilian cities

Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)

These guidelines are a consensus work of a considerable number of members of the immunology and flow cytometry community. They provide the theory and key practical aspects of flow cytometry enabling immunologists to avoid the common errors that often undermine immunological data. Notably, there are comprehensive sections of all major immune cell types with helpful Tables detailing phenotypes in murine and human cells. The latest flow cytometry techniques and applications are also described, featuring examples of the data that can be generated and, importantly, how the data can be analysed. Furthermore, there are sections detailing tips, tricks and pitfalls to avoid, all written and peer-reviewed by leading experts in the field, making this an essential research companion