Detecção e caracterização moleculares de Picobirnavirus bovino na região centro-sul do Brasil

Picobirnavirus (PBV) pertencem à família Picobirnaviridae, divididos em duas espécies Human Picobirnavirus e Rabbit Picobirnavirus. São pequenos vírus constituídos de genoma bissegmentado de cadeia dupla de RNA (dsRNA), não envelopados, com capsídeo de simetria icosaédrica, sendo divididos em dois genogrupos, GI e GII. Já foram detectados em fezes humanas e de uma ampla gama de espécies animais, com ou sem sinais diarreicos, sendo considerados agentes emergentes e oportunistas, e seu potencial zoonótico foi sugerido. Entretanto, os estudos epidemiológicos e moleculares de PBV em bovinos são raros na literatura nacional e internacional. Devido à carência de dados a respeito de PBV em bovinos, o presente estudo foi realizado objetivando-se a detecção e caracterização moleculares de cepas de PVB bovinos dos genogrupos GI e GII em amostras fecais de bovinos com ou sem sintomatologia diarreica de diferentes idades e regiões do Brasil. O estudo foi conduzido a partir de 77 animais, obtendo-se 18 (23,3%) amostras positivas para GI, compreendendo animais provenientes dos estados de São Paulo, Minas Gerais e Goiás. Não foram detectadas amostras positivas para GII. A identidade nucleotídica das amostras obtidas apresentou média de 67,4% quando comparadas uma com as outras e de até 83,77% quando comparadas com amostras de PBV de referência. Na reconstrução filogenética, três amostras agruparam-se em clado de PVB humano e somente uma agrupou-se em clado de PVB bovino. Em síntese, os resultados obtidos indicam, de maneira inédita, a circulação de PVB bovino pertencente ao genogrupo GI em diferentes estados brasileiros, com perfis filogenéticos heterogêneos.

Herramientas innovadoras en el diagnóstico del síndrome respiratorio bovino (SRB)

A pesar de todos los avances realizados en las últimas décadas en el conocimiento sobre numerosos aspectos del Síndrome Respiratorio Bovino (SRB), entre los que se encuentran los factores de riesgo, la etiopatogenia, las características de los agentes causales, el diagnóstico, la terapéutica o la profilaxis y sus efectos globales, el SRB continúa siendo la enfermedad de mayor impacto económico en el ganado vacuno de cebo. Además, parece que tanto su incidencia como las pérdidas que origina siguen estables en los cebaderos de todo el mundo desde hace varias décadas. Sus principales características indican que debemos considerar que es una enfermedad de difícil control dado su carácter multifactorial y con la que, por tanto, debemos acostumbrarnos a convivir aunque aspirando a minimizar tanto su incidencia, como la gravedad de sus consecuencias. Por otro lado, aunque existen muchas técnicas diagnósticas a nuestra disposición, aún no se puede decir que exista una técnica de referencia o “gold standard” para el diagnóstico del SRB, y mucho menos una técnica estandarizada para su diagnóstico precoz. Establecer y estandarizar protocolos para la detección de grupos de animales en riesgo y su monitorización más intensa en fases posteriores del cebo para reducir el consumo de antibióticos de uso preventivo o metafiláctico es de gran interés. Hasta ahora, este tipo de estrategias se han basado en la detección de evidencias de contacto con gérmenes patógenos pulmonares (principalmente análisis de serología). Sin embargo, no debemos olvidar que la identificación de un agente patógeno en ausencia de una lesión y/o signos clínicos atribuibles al mismo, tan sólo es indicativa de contacto previo (no de padecimiento de un proceso de enfermedad) y que, por otro lado, la mayoría de los agentes microbiológicos ligados al SRB son comensales habituales de las vías respiratorias altas. De modo que la identificación de un agente sólo prueba enfermedad si se diagnostica junto con los signos clínicos compatibles de enfermedad y la lesión...

Desenvolvimento de métodos para quantificação de benzilpenicilina em medicamentos veterinários e seus resíduos em leite bovino e caprino por UFLC-DAD

The Benzylpenicillin (PENG) have been as the active ingredient in veterinary medicinal products, to increase productivity, due to its therapeutic properties. However, one of unfortunate quality and used indiscriminately, resulting in residues in foods exposed to human consumption, especially in milk that is essential to the diet of children and the ageing. Thus, it is indispensable to develop new methods able to detect this waste food, at levels that are toxic to human health, in order to contribute to the food security of consumers and collaborate with regulatory agencies in an efficient inspection. In this work, were developed methods for the quality control of veterinary drugs based on Benzylpenicillin (PENG) that are used in livestock production. Additionally, were validated methodologies for identifying and quantifying the antibiotic residues in milk bovine and caprine. For this, the analytical control was performed two steps. At first, the groups of samples of medicinal products I, II, III, IV and V, individually, were characterized by medium infrared spectroscopy (4000 – 600 cm-1). Besides, 37 samples, distributed in these groups, were analyzed by spectroscopy in the ultraviolet and near infrared region (UV VIS NIR) and Ultra Fast Liquid Chromatograph coupled to linear arrangement photodiodes (UFLC-DAD). The results of the characterization indicated similarities, between PENG and reference standard samples, primarily in regions of 1818 to 1724 cm-1 of ν C=O that shows primary amides features of PENG. The method by UFLC-DAD presented R on 0.9991. LOD of 7.384 × 10-4 μg mL-1. LOQ of 2.049 × 10-3 μg mL-1. The analysis shows that 62.16% the samples presented purity ≥ 81.21%. The method by spectroscopy in the UV VIS NIR presented medium error ≤ 8 – 12% between the reference and experimental criteria, indicating is a secure choice for rapid determination of PENG. In the second stage, was acquiring a method for the extraction and isolation of PENG by the addition of buffer McIlvaine, used for precipitation of proteins total, at pH 4.0. The results showed excellent recovery values PENG, being close to 92.05% of samples of bovine milk (method 1). While samples of milk goats (method 2) the recovery of PENG were 95.83%. The methods for UFLC-DAD have been validated in accordance with the maximum residue limit (LMR) of 4 μg Kg-1 standardized by CAC/GL16. Validation of the method 1 indicated R by 0.9975. LOD of 7.246 × 10-4 μg mL-1. LOQ de 2.196 × 10-3 μg mL-1. The application of the method 1 showed that 12% the samples presented concentration of residues of PENG > LMR. The method 2 indicated R by 0.9995. LOD 8.251 × 10-4 μg mL-1. LOQ de 2.5270 × 10-3 μg mL-1. The application of the method showed that 15% of the samples were above the tolerable. The comparative analysis between the methods pointed better validation for LCP samples, because the reduction of the matrix effect, on this account the tcalculs < ttable, caused by the increase of recovery of the PENG. In this mode, all the operations developed to deliver simplicity, speed, selectivity, reduced analysis time and reagent use and toxic solvents, particularly if compared to the established methodologies.

Desenvolvimento de métodos para quantificação de benzilpenicilina em medicamentos veterinários e seus resíduos em leite bovino e caprino por UFLC-DAD

The Benzylpenicillin (PENG) have been as the active ingredient in veterinary medicinal products, to increase productivity, due to its therapeutic properties. However, one of unfortunate quality and used indiscriminately, resulting in residues in foods exposed to human consumption, especially in milk that is essential to the diet of children and the ageing. Thus, it is indispensable to develop new methods able to detect this waste food, at levels that are toxic to human health, in order to contribute to the food security of consumers and collaborate with regulatory agencies in an efficient inspection. In this work, were developed methods for the quality control of veterinary drugs based on Benzylpenicillin (PENG) that are used in livestock production. Additionally, were validated methodologies for identifying and quantifying the antibiotic residues in milk bovine and caprine. For this, the analytical control was performed two steps. At first, the groups of samples of medicinal products I, II, III, IV and V, individually, were characterized by medium infrared spectroscopy (4000 – 600 cm-1). Besides, 37 samples, distributed in these groups, were analyzed by spectroscopy in the ultraviolet and near infrared region (UV VIS NIR) and Ultra Fast Liquid Chromatograph coupled to linear arrangement photodiodes (UFLC-DAD). The results of the characterization indicated similarities, between PENG and reference standard samples, primarily in regions of 1818 to 1724 cm-1 of ν C=O that shows primary amides features of PENG. The method by UFLC-DAD presented R on 0.9991. LOD of 7.384 × 10-4 μg mL-1. LOQ of 2.049 × 10-3 μg mL-1. The analysis shows that 62.16% the samples presented purity ≥ 81.21%. The method by spectroscopy in the UV VIS NIR presented medium error ≤ 8 – 12% between the reference and experimental criteria, indicating is a secure choice for rapid determination of PENG. In the second stage, was acquiring a method for the extraction and isolation of PENG by the addition of buffer McIlvaine, used for precipitation of proteins total, at pH 4.0. The results showed excellent recovery values PENG, being close to 92.05% of samples of bovine milk (method 1). While samples of milk goats (method 2) the recovery of PENG were 95.83%. The methods for UFLC-DAD have been validated in accordance with the maximum residue limit (LMR) of 4 μg Kg-1 standardized by CAC/GL16. Validation of the method 1 indicated R by 0.9975. LOD of 7.246 × 10-4 μg mL-1. LOQ de 2.196 × 10-3 μg mL-1. The application of the method 1 showed that 12% the samples presented concentration of residues of PENG > LMR. The method 2 indicated R by 0.9995. LOD 8.251 × 10-4 μg mL-1. LOQ de 2.5270 × 10-3 μg mL-1. The application of the method showed that 15% of the samples were above the tolerable. The comparative analysis between the methods pointed better validation for LCP samples, because the reduction of the matrix effect, on this account the tcalculs < ttable, caused by the increase of recovery of the PENG. In this mode, all the operations developed to deliver simplicity, speed, selectivity, reduced analysis time and reagent use and toxic solvents, particularly if compared to the established methodologies.