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#sleep

18 Beiträge17 Beteiligte1 Beitrag heute

It’s not just the screen time, it’s how we use social media before bed that messes with our sleep! 😴

From doomscrolling to FOMO, emotionally charged posts keep our brains active, making it harder to unwind and fall asleep.

To improve sleep:
1️⃣ Avoid emotionally intense content 30-60 mins before bed.
2️⃣ Set your phone on "Do Not Disturb."
3️⃣ Mindfully check social media (or skip it entirely!).

theconversation.com/social-med
#health #wellness #sleep #tips #socialmedia

TO FRIENDS & FOLLOWERS: I am still in the midst of creating new work to show you. Please stay tuned and thank you! :-)

The Girl and the Bear
In the quiet forest, walks a gentle bear. Upon his sunny back a young girl sleeps.

This artwork is now available on Redbubble:
https://www.redbubble.com/people/gretchenkdeahl/shop
(100% human-made) human imagined, drawn and painted, no AI whatsoever.
#art #artist #illustration #illustrator #spiritual #drawing #paintings #noAI #childrensbooks #fineart #artwork #landscape #nature #childrensart #artforchildren #interiordecor #flowers #mastoart #art #artistsonmastodon #artlover #artlovers #decor #popart #artnet #artlover #artlovers #handmade #supportthearts #monsters #monster #creature #friend #love #march #forest #magic #imagination #fantasyart #fantasy #bear #girl #sleep

📰 "Drosophila Modeling Identifies Increased Sleep as a Link Between Insomnia and Cardiovascular Disease"
biorxiv.org/content/10.1101/20
#DrosophilaMelanogaster
#Drosophila #Sleep

bioRxiv · Drosophila Modeling Identifies Increased Sleep as a Link Between Insomnia and Cardiovascular DiseaseInsomnia is a common sleep disorder associated with negative long-term health outcomes. Mendelian randomization studies have found that insomnia significantly increases the risk of cardiovascular disease (CVD). To better understand the link between sleep and heart health, we identify genes associated with both insomnia and CVD. We model the disruption of the Drosophila melanogaster orthologs in neurons and cardiac tissue to characterize their cell-autonomous and non-cell-autonomous role in regulating sleep and cardiac physiology. We identify three genes that function in neurons and the heart to cell-autonomously regulate the function of each tissue. We find that the disruption of insomnia- and CVD-associated Drosophila orthologs in the heart most often lead to increased nighttime sleep. Inversely, disruptions in neurons that lead to increased sleep most often result in an elevated heart rate. To confirm the association between increased sleep and cardiac function, we performed a genetic correlation analysis from human data between long sleep-related traits and adverse cardiac outcomes. Significant correlations were found between most long sleep traits and heart failure, coronary artery disease, or myocardial infarction, reinforcing our findings in the fly linking increased or excessive sleep and altered cardiac health. ### Competing Interest Statement R.S. is a founder and stockholder of Magnet Biomedicine. The other authors declare no competing interests.

📰 "Single-Cell Multiomic Analysis of Circadian Rhythmicity in Mouse Liver"
biorxiv.org/content/10.1101/20
#Circadian
#Metabolism #Drosophila #Sleep

bioRxiv · Single-Cell Multiomic Analysis of Circadian Rhythmicity in Mouse LiverFrom bacteria to humans, most organisms showcase inherent 24-hour circadian rhythms, best exemplified by the sleep-wake cycle. These rhythms are remarkably widespread, governing hormonal, metabolic, physiological, and behavioral oscillations, and are driven by “molecular clocks” that orchestrate the rhythmic expression of thousands of genes throughout the body. Here, we generate single-cell RNA and ATAC multiomic data to simultaneously characterize gene expression and chromatin accessibility of ∼33,000 mouse liver cells across the 24-hour day. Our study yields several key insights, including: (i) detecting circadian rhythmicity in both discretized liver cell types and transient sub-lobule cell states, capturing space-time RNA and ATAC profiles in a cell-type– and cell-state-specific manner; (ii) delving beyond mean cyclic patterns to characterize distributions, accounting for gene expression stochasticity due to transcriptional bursting; (iii) interrogating multimodal circadian rhythmicity, encompassing RNAs, DNA regulatory elements, and transcription factors (TFs), while examining priming and lagging effects across modalities; and (iv) inferring spatiotemporal gene regulatory networks involving target genes, TFs, and cis-regulatory elements that controls circadian rhythmicity and liver physiology. Our findings apply to existing single-cell data of mouse and Drosophila brains and are further validated by time-series single molecule fluorescence in situ hybridization, as well as vast amounts of existing and orthogonal high-throughput data from chromatin immunoprecipitation followed by sequencing, capture Hi-C, and TF knockout experiments. Altogether, our study constructs a comprehensive map of the time-series transcriptomic and epigenomic landscapes that elucidate the function and mechanism of the liver peripheral clocks. ### Competing Interest Statement The authors have declared no competing interest.