Evidence map›Paper›PMID 17167051›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2006

Identification of a biomarker for sleep drive in flies and humans.

Laurent Seugnet, Jaime Boero, Laura Gottschalk, Stephen P Duntley, Paul J Shaw

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 110 citations in OpenAlex.

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  19. The Neonatal Salivary Transcriptome.Cold Spring Harbor perspectives in medicine · 2015
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Laurent SeugnetAnatomy and Neurobiology, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8108, St. Louis, MO 63110, USA.
Jaime Boero
Laura Gottschalk
Stephen P Duntley
Paul J Shaw
Washington University in St. Louis · US

Funding

FUNCTIONAL ANALYSIS OF SLEEP HOMEOSTASIS IN DROSOPHILAR01NS051305 · NINDS · WASHINGTON UNIVERSITY · PI SHAW, PAUL J · 2005 to 2023
$6.1M
NINDS NIH HHS R01 NS051305NINDS NIH HHS R01-NS051305-01A1
6 · The paper itself

Abstract

It is a common experience to sacrifice sleep to meet the demands of our 24-h society. Current estimates reveal that as a society, we sleep on average 2 h less than we did 40 years ago. This level of sleep restriction results in negative health outcomes and is sufficient to produce cognitive deficits and reduced attention and is associated with increased risk for traffic and occupational accidents. Unfortunately, there is no simple quantifiable marker that can detect an individual who is excessively sleepy before adverse outcomes become evident. To address this issue, we have developed a simple and effective strategy for identifying biomarkers of sleepiness by using genetic and pharmacological tools that dissociate sleep drive from wake time in the model organism Drosophila melanogaster. These studies have identified a biomarker, Amylase, that is highly correlated with sleep drive. More importantly, both salivary Amylase activity and mRNA levels are also responsive to extended waking in humans. These data indicate that the fly is relevant for human sleep research and represents a first step in developing an effective method for detecting sleepiness in vulnerable populations.

Indexed as

SleepAmylasesAnimalsBiomarkersDrosophila melanogasterFemaleHumansMaleRNA, MessengerUp-RegulationAmylasesBiomarkersRNA, Messenger

Identifiers

PMID17167051
PMCPMC1750902
OpenAlexW2077133630

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.