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Gilestro, G. F.

Publications and source records attributed to Gilestro, G. F..

7 recordsLinked to original sources

Sleep Deprivation Primes Synaptic Vulnerability Without Inducing Oxidative Damage: A Mechanistic Reappraisal

The question of whether sleep deprivation is inherently lethal has remained unresolved due to the inability to separate pure sleep loss from experimental stress. Historical studies dating back over a century have consistently reported that prolonged wakefulness leads to death, but these findings have been confounded by the stressful nature of the experimental interventions used to maintain wakefulness. Recent work has suggested that sleep deprivation-induced lethality may result from accumulation of reactive oxygen species (ROS) in the intestines, providing a potential molecular explanation for these long-standing observations. Here we address whether lethality stems from sleep loss itself or experimental stress using stress-controlled sleep deprivation in Drosophila and stress paradigms in both flies and mice. Using real-time feedback-controlled sleep deprivation in Drosophila--which only stimulates animals when they attempt to sleep--we found no lethality or intestinal ROS accumulation even after 240 hours of continuous wakefulness. In contrast, both physical perturbation and psychological challenges rapidly induced intestinal ROS accumulation independent of sleep loss, in flies and mice. Transcriptomic analysis revealed entirely distinct molecular signatures between sleep deprivation and oxidative stress, demonstrating these represent fundamentally different biological challenges. However, while sleep deprivation alone caused no lethality or intestinal oxidative stress, it increased susceptibility to traumatic brain injury through enhanced synaptic strength. Sleep-deprived flies showed increased mortality when subjected to violent physical challenges, an effect that correlated with synaptic excitability rather than sleep duration, and was rescued by restorative recovery sleep or prevented in mutants lacking synaptic potentiation mechanisms. Our findings demonstrate that experimental stress, not sleep loss, drives the oxidative damage and lethality historically attributed to sleep deprivation. Sleep deprivation, however, creates conditional vulnerability by transforming the brain into a hyperexcitable state susceptible to trauma, rather than causing cumulative damage.

neuroscience↗

ninna nanna links circadian and homeostatic sleep drive in Drosophila

Sleep is under control of two processes - circadian and homeo-static regulation - but little is known about how these two processes integrate. Here, we identify a Drosophila gene, ninna nanna, encoding two alternatively spliced isoforms: Ninna and Nanna. Both proteins encode aldo-keto reductases and are expressed in different, yet interconnected neurons. One isoform, ninna, encodes an aldo-keto reductase with predicted affinity for NADP(H) and is expressed in key circadian pacemaker neurons, the s-LNvs. The second isoform, nanna, encodes an aldo-keto reductase with predicted affinity for NAD(H) and is expressed in ICLI neurons, a pair of wake-promoting peptidergic neurons whose inhibition relieves sleep pressure. Ninna and nanna neurons interconnect to integrate a binary sleep sensing circuit in which ninna receives circadian information and nanna encodes homeostatic sleep pressure. ninna nanna defines an archetypal circuit for the integration of circadian and homeostatic sleep drive and reinforces the hypothesized link between aldo-keto reductases and sleep regulation.

systems biology↗

Divergent evolution of sleep functions

Most living organisms have evolved to synchronize their biological activities with the earths rotation, a daily regulation of biology and behaviour controlled by an evolutionary conserved molecular machinery known as the circadian clock. For most animals, circadian mechanisms are meant to maximize their exposure to positive activities (e.g.: social interactions, mating, feeding - generally during the day) and minimize their exposure to peril (e.g.: predation, weather, darkness - generally during the night1). On top of circadian regulation, some behaviours also feature a second layer of homeostatic control acting as a fail-safe to ensure important activities are not ignored. Sleep is one of these behaviours: largely controlled by the circadian clock for its baseline appearance, it is at the same time modulated by a - poorly understood - homeostatic regulator ensuring animals obey their species-specific amount of daily sleep2. An evolutionary conserved homeostatic control is often considered the main evidence for a core biological function of sleep beyond the trivial one (that is: keeping us out of trouble by limiting our energy expenditure and exposure to danger3,4) and it is hypothesized that sleep evolved around this mysterious basic biological function. Here we characterize sleep regulation in a group of seven species of the Drosophila genus at key evolutionary distances and representing a variety of ecological niche adaptations. We show that the spontaneous circadian-driven aspects of sleep are conserved among all species but the homeostatic regulation, unexpectedly, is not. We uncover differences in the behavioural, cell-biological and neuro-pharmacological aspects of sleep and suggest that, in Drosophilids, sleep primarily evolved to satisfy a circadian role, keeping animals immobile during dangerous hours of the day. The homeostatic functions of sleep evolved independently, in a species-specific fashion, and are not conserved.

evolutionary biology↗

A reductionist paradigm for high-throughput behavioural fingerprinting in Drosophila melanogaster

Understanding how the brain encodes behaviour is the ultimate goal of neuroscience and the ability to objectively and reproducibly describe and quantify behaviour is a necessary milestone on this path. Recent technological progresses in machine learning and computational power have boosted the development and adoption of systems leveraging on high-resolution video recording to track an animal pose and describe behaviour in all four dimensions. However, the high temporal and spatial resolution that these systems offer must come as a compromise with their throughput and accessibility. Here we describe coccinella, an open-source reductionist framework combining high-throughput analysis of behaviour using real-time tracking on a distributed mesh of microcomputers (ethoscopes) with resource-lean statistical learning (HCTSA/Catch22). Coccinella is a reductionist system, yet outperforms state-of-the-art alternatives when exploring the pharmacobehaviour in Drosophila melanogaster.

neuroscience↗

Ethoscopy & Ethoscope-lab: a framework for behavioural analysis to lower entrance barrier and aid reproducibility

SummaryHigh-throughput analysis of behaviour is a pivotal instrument in modern neuroscience, allowing researchers to combine modern genetics breakthrough to unbiased, objective, reproducible experimental approaches. To this extent, we recently created an open-source hardware platform (ethoscope (Geissmann et al., 2017)) that allows for inexpensive, accessible, high-throughput analysis of behaviour in Drosophila or other animal models. Here we equip ethoscopes with a Python framework for data analysis, ethoscopy, designed to be a user-friendly yet powerful platform, meeting the requirements of researchers with limited coding expertise as well as experienced data scientists. Ethoscopy is best consumed in a prebaked Jupyter-based docker container, ethoscope-lab, to improve accessibility and to encourage the use of notebooks as a natural platform to share post-publication data analysis. Availability and implementationEthoscopy is a Python package available on GitHub and PyPi. Ethoscope-lab is a docker container available on DockerHub. A landing page aggregating all the code and documentation is available at https://lab.gilest.ro/ethoscopy.

neuroscience↗

Most sleep does not serve a vital function. Evidence from Drosophila melanogaster

Sleep appears to be a universally conserved phenomenon among the animal kingdom but whether this striking evolutionary conservation underlies a basic vital function is still an open question. Using novel technologies, we conducted an unprecedentedly detailed high-throughput analysis of sleep in the fruit fly Drosophila melanogaster, coupled with a life-long chronic and specific sleep restriction. Our results show that some wild-type flies are virtually sleepless in baseline conditions and that complete, forced sleep restriction is not necessarily a lethal treatment in wild-type Drosophila melanogaster. We also show that circadian drive, and not homeostatic regulation, is the main contributor to sleep pressure in flies. We propose a three-partite model framework of sleep function, according to which, total sleep accounts for three components: a vital component, a useful component, and an accessory component.

neuroscience↗

Rethomics: an R framework to analyse high-throughput behavioural data

The recent development of automatised methods to score various behaviours on a large number of animals provides biologists with an unprecedented set of tools to decipher these complex phenotypes. Analysing such data comes with several challenges that are largely shared across acquisition platform and paradigms. Here, we present rethomics, a set of R packages that unifies the analysis of behavioural datasets in an efficient and flexible manner. rethomics offers a computational solution to storing, manipulating and visualising large amounts of behavioural data. We propose it as a tool to bridge the gap between behavioural biology and data sciences, thus connecting computational and behavioural scientists. rethomics comes with a extensive documentation as well as a set of both practical and theoretical tutorials (available at https://rethomics.github.io).

bioinformatics↗