Digital Commons Network^™

The Validation Of Predicted Biological Age Of Drosophila Melanogaster From Combined Statistical Modeling, Lauren Francis

Masters Theses

"Sleep is essential for maintaining a healthy body and mind and is associated with aging and aging related diseases. There are individual differences in fly as well as human sleep behavior and lifespan. Between and within individuals, sleep varies in characteristics including consolidation, rhythmicity, continuity, duration, and more. Various evidence in the literature suggests there are many molecular pathways involved with aging and they may be different for individuals. Our research is interested in a possible restorative mechanism of sleep and the ramifications of that mechanism to aging. We have developed two predictive models of aging using the fruit fly …

The Correlation Between Sleep And Lifespan In Drosophila Melanogaster, Joshua Randall Lisse

Masters Theses

”Adequate sleep is associated with an individual’s health. Too little sleep is associated with many health problems, including cardiovascular disease, obesity, and a general increase in all-cause mortality. Yet the molecular changes that link poor sleep and changes in health are still not well understood. Individuals have a unique daily need for sleep, and deviations from the animal’s regular sleeping patterns can be indicative of, or result in, underlying changes in its health. Therefore, we hypothesize that changes in the sleep architecture in Drosophila melanogaster reflect changes in the fly’s health.

We determined sleep architecture in wild-type male flies over …

Correlation Between Sleep And Lifespan In Drosophila Melanogaster, Courtney H. Fiebelman

Masters Theses

”Sleep has previously been associated with lifespan. Monitoring sleep in any given fly over their lifetime facilitates the ability to predict the lifespan of that given fly. Using this estimate, lifespan can potentially correlate with biological age to identify when health parameters have declined.

To confirm that the prediction algorithm could identify short and long-lived flies, glutathione levels in heads and bodies were compared between two groups. The results showed this to be consistent in the bodies of wild-type Canton S male flies, and showed that glutathione was decreased in the predicted biologically older flies. These data show that glutathione …