ArticleBMC genomics2018
Exploring gene expression biomarker candidates for neurobehavioral impairment from total sleep deprivation.
Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 37 citations in OpenAlex.
- Integration of Transcriptomics With Interpretable Artificial Intelligence for Identifying Molecular Signatures of Physiological Stress in Sleep Deprivation.Journal of cellular and molecular medicine · 2026Article
- Transcriptional remodeling of human skeletal muscle following sleep restriction in postmenopausal women.Physiological genomics · 2026Article
- Integrated Analysis of Immune-Related Genes Reveals Altered Biological Functions and Immune Cell Abundance in Sleep DeprivationEndocrine, metabolic & immune disorders drug targets · 2026Article
- Exploratory development of biomarkers for neurobehavioral performance impairment during sleep loss: comparison across multiple types of sleep deprivation.BMC genomics · 2025Article
- Molecular basis identification and hypnotic drug interactions for cognitive impairment related to sleep deprivation.BMC psychiatry · 2025Article
- Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.Frontiers in neurology · 2025Article
- Human serum proteomics reveals a molecular signature after one night of sleep deprivation.Sleep advances : a journal of the Sleep Research Society · 2024Article
- Whole genome case-control study of central nervous system toxicity due to antimicrobial drugs.PloS one · 2024Article
- Sleep and memory: The impact of sleep deprivation on transcription, translational control, and protein synthesis in the brain.Journal of neurochemistry · 2023Review
- Biomarkers linking habitual short sleep duration with risk of cardiometabolic disease: current progress and future directions.Frontiers in sleep · 2023Article
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- Unique transcriptional signatures of sleep loss across independently evolved cavefish populations.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2020Article
- Integrative genomics analysis identifies five promising genes implicated in insomnia risk based on multiple omics datasets.Bioscience reports · 2020Article
- Enhanced identification of significant regulators of gene expression.BMC bioinformatics · 2020Article
- Boolean function network analysis of time course liver transcriptome data to reveal novel circadian transcriptional regulators in mammals.Journal of the Chinese Medical Association : JCMA · 2019Article
- Exploratory Analysis of Sleep Deprivation Effects on Gene Expression and Regional Brain Metabolism.Complex psychiatryArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundAlthough sleep deprivation is associated with neurobehavioral impairment that may underlie significant risks to performance and safety, there is no reliable biomarker test to detect dangerous levels of impairment from sleep loss in humans. This study employs microarrays and bioinformatics analyses to explore candidate gene expression biomarkers associated with total sleep deprivation (TSD), and more specifically, the phenotype of neurobehavioral impairment from TSD. Healthy adult volunteers were recruited to a sleep laboratory for seven consecutive days (six nights). After two Baseline nights of 10 h time in bed, 11 subjects underwent an Experimental phase of 62 h of continuous wakefulness, followed by two Recovery nights of 10 h time in bed. Another six subjects underwent a well-rested Control condition of 10 h time in bed for all six nights. Blood was drawn for measuring gene expression on days two, four, and six at 4 h intervals from 08:00 to 20:00 h, corresponding to 12 timepoints across one Baseline, one Experimental, and one Recovery day.
resultsAltogether 212 genes changed expression in response to the TSD Treatment, with most genes exhibiting down-regulation during TSD. Also, 28 genes were associated with neurobehavioral impairment as measured by the Psychomotor Vigilance Test. The results support previous findings associating TSD with the immune response and ion signaling, and reveal novel candidate biomarkers such as the Speedy/RINGO family of cell cycle regulators.
conclusionsThis study serves as an important step toward understanding gene expression changes during sleep deprivation. In addition to exploring potential biomarkers for TSD, this report presents novel candidate biomarkers associated with lapses of attention during TSD. Although further work is required for biomarker validation, analysis of these genes may aid fundamental understanding of the impact of TSD on neurobehavioral performance.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.