ABSTRACT
Leptospirosis is a disease usually acquired by humans through water contaminated with the urine of rodents that comes into direct contact with the cutaneous lesions, eyes, or mucous membranes. The disease has an important environmental component associated with climatic conditions and natural disasters, such as floods. We analyzed the relationship between rainfall and temperature and the incidence of leptospirosis in the top 30 municipalities with the highest numbers of cases of the disease in the period of 2007 to 2016. It was an ecological study of the time series of cases of leptospirosis, rainfall, and temperature with lags of 0, 1, 2, 3, and 4 weeks. A multilevel negative binomial regression model was implemented to evaluate the relationship between leptospirosis and both meteorological factors. In the 30 evaluated municipalities during the study period, a total of 5136 cases of leptospirosis were reported. According to the implemented statistical model, there was a positive association between the incidence of leptospirosis and rainfall with a lag of 1 week and a negative association with temperature with a lag of 4 weeks. Our results show the importance of short-term lags in rainfall and temperature for the occurrence of new cases of leptospirosis in Colombia.
Subject(s)
Leptospirosis , Cities , Colombia/epidemiology , Humans , Incidence , Leptospirosis/epidemiology , Meteorological Concepts , TemperatureABSTRACT
Background: In Colombia, human leptospirosis (HL) is a disease that has had a mandatory notification rule since 2007. Humans usually acquire the infection through water contaminated with animal urine that comes into direct contact with cutaneous lesions, eyes or mucous membranes. Objectives: To analyze the spatiotemporal variability in the occurrence of HL cases in Colombia between 2007 and 2016, and its relation with the El Niño Southern Oscillation (ENSO) cycle and the consequent anomalies in rainfall in spatiotemporal clusters. Methods: An ecological study of the HL cases, aggregated by municipality, and reported between 2007 and 2016, is presented. Findings: During the period of study, 9928 cases of HL were reported, and 58.9% of the municipalities reported at least one case of leptospirosis. Six spatiotemporal clusters were identified-five were in the Andean region and one was in the Caribbean region. The assessment of the ENSO cycle and rainfall anomalies suggests the importance of La Niña episodes, and excess rainfall periods in the occurrence of cases of HL. Conclusions: Our results demonstrate the importance of the ENSO cycle, rainfall periods and periods with excess rainfall in the occurrence of cases and outbreaks of HL in Colombia, and suggest the importance of the topography of valleys and flood zones as zones in which the risk of infection is elevated.
Subject(s)
Leptospirosis/epidemiology , Leptospirosis/microbiology , Rain , Spatio-Temporal Analysis , Animals , Cluster Analysis , Colombia/epidemiology , Disease Outbreaks , El Nino-Southern Oscillation , Humans , Population Surveillance , Urine/microbiologyABSTRACT
Los genes del sistema de enzimas μ-Calpaína/Calpastatina han sido ampliamente evaluados en estudios de asociación respecto de parámetros de calidad cárnica como la terneza; previamente se han identificado varios polimorfismos asociados con la variación fenotípica en poblaciones no relacionadas de bovinos. Usando herramientas computacionales se logró postular la asociación de cuatro polimorfismos encontrados en μ-Calpaína y 11 en Calpastatina que producen una alteración de los parámetros físico-químicos, tanto del ARNm (estabilidad y polimorfismo conformacional), como de la proteína (punto isoeléctrico, potencial electroestático y superficie molecular). Es importante poder establecer el soporte biológico de polimorfismos genéticos asociados con parámetros fenotípicos que mejoren la productividad animal, lo que hace que la aproximación in silico se convierta en una herramienta útil para tal fin.
μ-Calpain/Calpastatin enzymatic system are extensively evaluated in tenderness association studies of beef quality and several polymorphisms of these same genes have been reported previously associated with phenotypic variation in non-related bovine populations. Computational tools were used to screen four polymorphisms in μ-Calpain gene and 11 in Calpastatin gene that can alter the physical and mRNA chemical properties (stability and conformational polymorphism) and its respective proteins (isoelectric point, electrostatic potential and molecular surface) of polymorphisms previously reported in public databases. In silico aproximation is a useful tool in phenotype-genotype association studies because can provide a biological support to this type of animal production traits.
