bioRxiv ScienceSearch

Biology subjects

Arab, A.

Publications and source records attributed to Arab, A..

2 recordsLinked to original sources

jouvence, a new small nucleolar RNA required in the gut extends lifespan in Drosophila

Longevity is influenced by various genetic and environmental factors, but the underlying mechanisms remain poorly understood. Here, we functionally characterise a new Drosophila small nucleolar RNA (snoRNA), named jouvence whose loss of function dramatically reduces lifespan. A transgene containing the genomic region of jouvence rescues the longevity in mutant, while its overexpression in wild-type flies increases lifespan. Jouvence is expressed in epithelial cells of the gut. Targeted expression of jouvence specifically in the enterocytes increases lifespan, indicating that its role in the control of longevity takes place in these cells. A transcriptomic analysis performed from the gut reveals that several genes are either up-or down-regulated in mutant indicating that the snoRNA-jouvence might be involved in transcriptional control. Finally, since snoRNAs are structurally and functionally well conserved throughout evolution, we identified putative jouvence orthologue in mammals including humans, suggesting that its function in longevity might be conserved through evolution.

genetics

Socio-environmental and measurement factors drive spatial variation in influenza-like illness

The mechanisms hypothesized to drive spatial heterogeneity in reported influenza activity include: environmental factors, contact patterns, population age structure, and socioeconomic factors linked to healthcare access and quality of life. Harnessing the large volume and high specificity of diagnosis codes in medical claims data for influenza seasons from 2002-2009, we estimate the importance of socio-environmental determinants and measurement-related factors on observed variation in influenza-like illness (ILI) across United States counties. We found that South Atlantic states tended to have higher ILI seasonal intensity, and a combination of transmission, environmental, influenza subtype, socioeconomic and measurement factors explained the variation in seasonal intensity across our study period. Moreover, our models suggest that sentinel surveillance systems should have fixed report locations across years for the most robust inference and prediction, and high volumes of data can offset measurement biases in opportunistic data samples.

epidemiology