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El objetivo fue determinar la relación entre la alimentación saludable, actividad física y la calidad de vida del adulto mayor del Centro de Salud José Olaya, Chiclayo, 2018- 2019. Fue tipo cuantitativa, descriptiva, no experimental, participaron 77 adultos mayores. Resultados: el 50.6% de los adultos mayores presentaron una alimentación no saludable con baja calidad de vida; la prueba de chi cuadrado muestra p valor de 0.030. Así mismo el 46.8% presentan una baja actividad física con una baja calidad de vida; mientras que solo el 1.3% presenta una alta actividad física con una alta calidad de vida un p valor de 0.028. Conclusión: existe relación entre la alimentación saludable, actividad física con la calidad de vida de los adultos mayores, por ello los cuidados de enfermería deberían orientarse hacia la promoción de la salud enfatizando en la alimentación saludable y actividad física a este grupo etario.

Cell death experiments are routinely done in many labs around the world, these experiments are the backbone of many assays for drug development. Cell death detection is usually performed in many ways, and requires time and reagents. However, cell death is preceded by slight morphological changes in cell shape and texture. In this paper, we trained a neural network to classify cells undergoing cell death. We found that the network was able to highly predict cell death after one hour of exposure to camptothecin. Moreover, this prediction largely outperforms human ability. Finally, we provide a simple python tool that can broadly be used to detect cell death.

SummaryPIWI-interacting RNAs (piRNAs) are a class of non-coding RNAs initially thought to be restricted almost exclusively to germ line cells. In recent years, accumulating evidence has demonstrated that piRNAs are actually expressed in somatic cells like pluripotent, neural, cardiac and even cancer cells. However, controversy still remains around the existence and function of somatic piRNAs. Using small RNA-seq samples from H9 pluripotent stem cells differentiated to mesoderm progenitors and cardiomyocytes we identified the expression of 447 piRNAs, of which 241 were detected in pluripotency, 218 in mesoderm and 171 in cardiac cells. The majority of them originated from the sense strand of protein coding and lncRNAs genes in all stages of differentiation, though no evidences for secondary piRNAs (ping-pong loop) were found. Genes hosting piRNAs in cardiac samples were related to critical biological processes in the heart, like contraction and cardiac muscle development. Our results indicate that somatic piRNAs might have a role in fine-tuning the expression of genes involved in the differentiation of pluripotent cells to cardiomyocytes.