scholarly journals Circadian Sleep Propensity and Alcohol Interaction at the Wheel

2016 ◽  
Vol 12 (07) ◽  
pp. 1011-1017 ◽  
Author(s):  
Sergio Garbarino ◽  
Lino Nobili ◽  
Pierre Philip ◽  
Giuseppe Plazzi ◽  
Claudio Campus ◽  
...  
Keyword(s):  
Alcohol Interaction ◽  
Sleep Propensity

scholarly journals Cerebrospinal fluid monoamine levels in central hypersomnolence disorders

SLEEP ◽  
2021 ◽  
Author(s):  
Lucie Barateau ◽  
Isabelle Jaussent ◽  
Julien Roeser ◽  
Claudio Ciardiello ◽  
Thomas S Kilduff ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Daytime Sleepiness ◽  
Direct Consequence ◽  
Trace Amines ◽  
Idiopathic Hypersomnia ◽  
National Reference Center ◽  
Drug Free ◽  
Sleep Propensity

Abstract Study objectives Whether the cause of daytime sleepiness in narcolepsy type 1 (NT1) is a direct consequence of the loss of orexin neurons or whether low orexin reduces the efficacy of the monoaminergic systems to promote wakefulness is unclear. The neurobiology underlying sleepiness in other central hypersomnolence disorders, narcolepsy type 2 (NT2) and idiopathic hypersomnia (IH), is currently unknown. Methods Eleven biogenic amines including the monoaminergic neurotransmitters and their metabolites and five trace amines were measured in the cerebrospinal fluid (CSF) of 94 drug-free subjects evaluated at the French National Reference Center for Narcolepsy: 39 NT1(orexin-deficient) patients, 31 patients with objective sleepiness non-orexin deficient (NT2 and IH), and 24 patients without objective sleepiness. Results Three trace amines were undetectable in the sample: Tryptamine, Octopamine, and 3-iodothyronamine. No significant differences were found among the three groups for quantified monoamines and their metabolites in crude and adjusted models; however, CSF 5-HIAA levels tended to increase in NT1 compared to other patients after adjustment. Most of biomarkers were not associated with ORX-A levels, clinical or neurophysiological parameters, but a few biomarkers (e.g., MHPG and norepinephrine) correlated with daytime sleepiness and high REM sleep propensity. Conclusion We found no striking differences among CSF monoamines, their metabolites and trace amine levels, and few associations between them and key clinical or neurophysiological parameters in NT1,NT2/IH and patients without objective sleepiness. Although mostly negative, these findings are a significant contribution to our understanding of the neurobiology of hypersomnolence in these disorders that remain mysterious and deserve further exploration.

scholarly journals Natural History of Excessive Daytime Sleepiness: Role of Obesity, Weight Loss, Depression, and Sleep Propensity

SLEEP ◽  
2015 ◽  
Vol 38 (3) ◽  
pp. 351-360 ◽  
Author(s):  
Julio Fernandez-Mendoza ◽  
Alexandros N. Vgontzas ◽  
Ilia Kritikou ◽  
Susan L. Calhoun ◽  
Duanping Liao ◽  
...  
Keyword(s):  
Weight Loss ◽  
Natural History ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
History Of ◽  
Sleep Propensity

Characterizing psychiatric hypersomnia on campus: contributions of chronotype, insomnia, and tiredness

2021 ◽  
Author(s):  
Louise Beattie ◽  
Georgios Rigas ◽  
Stephany Biello
Keyword(s):  
Mental Health ◽  
Young Adults ◽  
Sleep Duration ◽  
Preliminary Report ◽  
Severity Index ◽  
Poor Mental Health ◽  
Sleep Health ◽  
Future Studies ◽  
Health And Wellbeing ◽  
Sleep Propensity

Study Objectives: The sleep of students contains several features rendering it worthy of independent investigation. Sleep duration is an important aspect of sleep health and wellbeing, however the assessment of psychiatric hypersomnia has been hampered by the absence of a single unitary scale of this construct. With the recent publication of the Hypersomnia Severity Index, research can now examine this condition in greater detail.Methods: Here we consider how the candidate variables of sleep propensity, fatigue, chronotype and insomnia may be associated with hypersomnia scores in a sample of 140 students. Results suggest that hypersomnia was significantly predicted by these measures, but not age or gender. We then model a pathway from chronotype to hypersomnia, including these factors as potential mediators.Results: Results suggest that hypersomnia was significantly predicted by these measures, but not age or gender. The proposed pathway from chronotype to hypersomnia warrants further study.Conclusions: Future studies should expand upon this preliminary report and consider longitudinally and prospectively how hypersomnia is linked to poor mental health in well-characterized samples of students and other young adults.

QM/MM Studies on Cyclodextrin-Alcohol Interaction

2014 ◽  
Vol 52 (1) ◽  
pp. 64-68 ◽  
Author(s):  
Kundan Baruah ◽  
Sourab Sinha ◽  
Swapnali Hazarika ◽  
Pradip Kr. Bhattacharyya
Keyword(s):  
Alcohol Interaction
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