Abstract African swine fever (ASF) is an important viral disease of swine caused by the African swine fever virus (ASFV), which threatens swine production profoundly. To better understand the gene expression changes when pig infected with ASFV, RNA sequencing was performed to characterize differentially expressed genes (DEGs) of six tissues from Kenya domestic pigs and Landrace × Yorkshire (L/Y) pigs infected with ASFV Kenya1033 in vivo. As results, a total of 209, 522, 34, 505, 634 and 138 DEGs (q-value < 0.05 and |Log2foldchange| values >2) were detected in the kidney, liver, mesenteric lymph node, peripheral blood mononuclear cell, submandibular lymph node and spleen, respectively. The expression profiles of DEGs shared in the multiple tissues illustrated variation in regulation function in the different tissues. Functional annotation analysis and interaction of proteins encoded by DEGs revealed that genes including IFIT1, IFITM1, MX1, OASL, ISG15, SAMHD1, IFINA1, S100A12 and S100A8 enriched in the immune and antivirus pathways were significantly changed when the hosts were infected with ASFV. The genes mentioned could play crucial roles in the process of the reaction to non-lethal ASF infection, which may will help to improve the ASF tolerance in the pig population through molecular breeding strategies.

Objective: The aim of the study is to examine the distribution of integrated covariate and its association with blood pressure (BP) among children in Anhui province, China, and assess the predictive value of integrated covariate to children hypertension. Methods: A total of 2,828 subjects (1,588 male and 1,240 female) aged 7-17 years participated in this study. Height, weight, waistline, hipline and BP of all subjects were measured, obesity and overweight were defined by an international standard, specifying the measurement, the reference population, and the age and sex specific cut off points. High BP status was defined as systolic blood pressure (SBP) and/or diastolic blood pressure (DBP) > 95th percentile for age and gender. Results: Our results revealed that the prevalence of children hypertension was 11.03%, the SBP and DBP of obesity group were significantly higher than that of normal group. Anthropometric obesity indices such as body mass index (BMI) were positively correlated with SBP and DBP. Integrated covariate had a better performance than the single covariate in the receiver-operating characteristic (ROC) curve, the cut-off value; the sensitivity and the specificity of the integrated covariate were 0.112, 0.577, 0.683, respectively. Conclusion: Integrated covariate is a simple and effective anthropometric index to identify childhood hypertension.

Objetivo: El objetivo del estudio es examinar la distribución de las covariables integrado y su asociación con la presión arterial (PA) entre los niños en la provincia de Anhui, China, y evaluar el valor predictivo de covariables integrado a los niños la hipertensión. Métodos: Un total de 2.828 sujetos (1.588 macho y 1.240 hembra) de 7 a 17 años participaron en este estudio. Altura, peso, cintura, hipline y BP de todos los sujetos fueron medidos, la obesidad y el sobrepeso se han definido por una norma internacional, especificando la medición, la población de referencia, y la edad y sexo los puntos de corte. La condición de alta presión se define como la presión arterial sistólica (PAS) y/o presión arterial diastólica (PAD) > percentil para edad y sexo. Resultados: Nuestros resultados revelan que la prevalencia de niños la hipertensión fue 11,03%, el SBP y DBP de obesidad grupo fueron significativamente más alta que la de grupo normal. Los índices de obesidad, tales como el índice de masa corporal (IMC) se correlacionaron positivamente con SBP y DBP. Integrated covariable tuvo un mejor rendimiento que la covariable en la curva de características operativas del receptor (ROC), el valor de corte, la sensibilidad y la especificidad de las covariables fueron integrados 0,112, 0,577,0,683, respectivamente. Conclusión: Integrado covariable es un simple y eficaz para identificar a la niñez índice antropométrico hipertensión.