Calculating genetic risk for dysfunction in pleiotropic biological processes using whole exome sequencing data DOI Creative Commons
Olivia J. Veatch, Diego R. Mazzotti, Robert T. Schultz

et al.

Journal of Neurodevelopmental Disorders, Journal Year: 2022, Volume and Issue: 14(1)

Published: June 24, 2022

Numerous genes are implicated in autism spectrum disorder (ASD). ASD encompasses a wide-range and severity of symptoms co-occurring conditions; however, the details how genetic variation contributes to phenotypic differences unclear. This creates challenge for translating evidence into clinically useful knowledge. Sleep disturbances particularly prevalent conditions ASD, genetics may inform treatment. Identifying convergent mechanisms with dysfunction that connect sleep biology could help identify better treatments these individuals. To influence risk disturbances, we analyzed whole exome sequence data from individuals Simons Simplex Collection (n = 2380). We predicted protein damaging variants (PDVs) currently either or duration typically developing children. network ASD-related proteins direct interaction duration-related encoded by PDVs. Overrepresentation analyses Gene Ontology-defined biological processes were conducted on resulting gene set. calculated likelihood top overrepresented process. then tested if scores reflecting process associated parent-reported duration. There 29 PDVs dataset where was reported literature be both A 108 candidate identified. The mechanism PDV-containing encode most cerebral cortex development (GO:0,021,987). Scores this durations; largest effects observed adolescents (p 4.65 × 10-3). Our bioinformatic-driven approach detected enriched encoding protein-protein linking products accumulation potentially as parents. Specifically, impacting affect disrupting homeostasis which is evidenced regulated brain region. Future functional assessments objective measurements provide basis more informed treatment problems

Language: Английский

Cognitive hyperplasticity drives insomnia DOI
Sheng Huang, Chengji Piao,

Zhao Zhi-ying

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 18, 2024

Abstract Sleep is vital for maintenance of cognitive functions and lifespan across the animal kingdom. Here, we report our surprising findings that insomniac ( inc ) Drosophila short sleep mutants, which lack a crucial adaptor protein autism-associated Cullin-3 ubiquitin ligase, exhibited excessive olfactory memory. Through genetic modifier screen, find mild attenuation Protein Kinase A (PKA) signaling specifically rescued longevity phenotypes mutants. Surprisingly, this PKA reduction further boosted memory in coupled with exaggerated mushroom body overgrowth phenotypes. We propose an intrinsic hyperplasticity scenario genuine to mutants enhances functions. Elevating seems serve as checkpoint allows constrain these animals, albeit at sacrifice longevity. Our data offer mechanistic explanation deficits challenges traditional views on relation between memory, suggest behavioral hyperplasticity, e.g., prominent autistic patients, can provoke deficits.

Language: Английский

Citations

0

Do metabolic deficits contribute to sleep disruption in monogenic intellectual disability syndromes? DOI
Mariela Lopez Valencia, Folasade A. Sofela, Thomas A. Jongens

et al.

Trends in Neurosciences, Journal Year: 2024, Volume and Issue: 47(8), P. 583 - 592

Published: July 24, 2024

Language: Английский

Citations

0

Cross-species evidence for a developmental origin of adult hypersomnia with loss of synaptic adhesion molecules beat-Ia/CADM2 DOI
Kyla Mace, Amber Zimmerman, Alessandra Chesi

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 26, 2024

Idiopathic hypersomnia (IH) is a poorly-understood sleep disorder characterized by excessive daytime sleepiness despite normal nighttime sleep. Combining human genomics with behavioral and mechanistic studies in fish flies, we uncover role for

Language: Английский

Citations

0

The Application of Cryptocurrencies in Non-Fungible Tokens DOI Creative Commons
Yijian Huang, Jiapeng Li, Zuochen Wang

et al.

Advances in Economics Management and Political Sciences, Journal Year: 2023, Volume and Issue: 26(1), P. 86 - 92

Published: Sept. 12, 2023

This paper explores the application of cryptocurrencies in Non-Fungible Tokens (NFTs). After introducing concepts and historical background NFTs cryptocurrencies, analyzes advantages using NFTs, including decentralization, security, stable storage value, cross-border payment, low transaction cost, anonymity, programmability, community support. However, also highlights shortcomings this application, such as unclear laws regulations, price fluctuations, environmental problems, technical obstacles, security risks, intellectual copyright issues, moral social issues. To address these challenges, proposes several workarounds, stablecoins to solve volatility providing user-friendly interfaces educational resources complex increasing number merchants service providers accepting payment methods problem a limitation. Finally, industry trend its potential future direction. contributes better understanding provides insights into development emerging field.

Language: Английский

Citations

0

Calculating genetic risk for dysfunction in pleiotropic biological processes using whole exome sequencing data DOI Creative Commons
Olivia J. Veatch, Diego R. Mazzotti, Robert T. Schultz

et al.

Journal of Neurodevelopmental Disorders, Journal Year: 2022, Volume and Issue: 14(1)

Published: June 24, 2022

Numerous genes are implicated in autism spectrum disorder (ASD). ASD encompasses a wide-range and severity of symptoms co-occurring conditions; however, the details how genetic variation contributes to phenotypic differences unclear. This creates challenge for translating evidence into clinically useful knowledge. Sleep disturbances particularly prevalent conditions ASD, genetics may inform treatment. Identifying convergent mechanisms with dysfunction that connect sleep biology could help identify better treatments these individuals. To influence risk disturbances, we analyzed whole exome sequence data from individuals Simons Simplex Collection (n = 2380). We predicted protein damaging variants (PDVs) currently either or duration typically developing children. network ASD-related proteins direct interaction duration-related encoded by PDVs. Overrepresentation analyses Gene Ontology-defined biological processes were conducted on resulting gene set. calculated likelihood top overrepresented process. then tested if scores reflecting process associated parent-reported duration. There 29 PDVs dataset where was reported literature be both A 108 candidate identified. The mechanism PDV-containing encode most cerebral cortex development (GO:0,021,987). Scores this durations; largest effects observed adolescents (p 4.65 × 10-3). Our bioinformatic-driven approach detected enriched encoding protein-protein linking products accumulation potentially as parents. Specifically, impacting affect disrupting homeostasis which is evidenced regulated brain region. Future functional assessments objective measurements provide basis more informed treatment problems

Language: Английский

Citations

0