Evidence map›Paper›PMID 33283399›Full record

ArticleJournal of sleep research2021

The association between plasma metabolites and sleep quality in the Southall and Brent Revisited (SABRE) Study: A cross-sectional analysis.

Constantin-Cristian Topriceanu, Therese Tillin, Nishi Chaturvedi, Roshni Joshi, Victoria Garfield

Open access · hybridAbstract read
In one paragraph

Article in Journal of sleep research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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 2 institutions in 1 country.

Constantin-Cristian TopriceanuUniversity College London Medical School, London, UK.ORCID 0000-0001-5826-9617
Therese TillinDepartment of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, UK.ORCID 0000-0003-1590-9826
Nishi ChaturvediDepartment of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, UK.ORCID 0000-0002-6211-2775
Roshni JoshiDepartment of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, UK.ORCID 0000-0002-0236-572X
Victoria GarfieldDepartment of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, UK.ORCID 0000-0002-5127-0890
MRC Unit for Lifelong Health and Ageing · GBUniversity College London · GB

Funding

British Heart Foundation 15/0005250British Heart Foundation CS/13/1/30327British Heart Foundation SP/07/001/23603Diabetes UK 13/0004774Diabetes UK 15/0005250Medical Research CouncilNational Institute for Health Research University College London Hospitals Biomedical Research CentreNorth and West London and Central and East London National Institute of Health Research Clinical Research NetworksWellcome TrustWellcome Trust WT 082464
6 · The paper itself

Abstract

We examined the association between plasma metabolites and abnormal sleep patterns using data from the Southall and Brent REvisited (SABRE) cohort. Nuclear magnetic resonance spectroscopy provided 146 circulating plasma metabolites. Sleep questionnaires identified the presence or absence of: difficulty falling asleep, early morning waking, waking up tired, and snoring. Metabolites were compared between the sleep quality categories using the t test, and then filtered using a false discovery rate of 0.05. Generalised linear models with logit-link assessed the associations between filtered metabolites and sleep phenotypes. Adjustment was made for important demographic and health-related covariates. In all, 2,718 participants were included in the analysis. After correcting for multiple testing, three metabolites remained for difficulty falling asleep, 59 for snoring, and none for early morning waking and waking up tired. After adjusting for sex, age, ethnicity and years of education, 1 standard deviation increase in serum histidine and valine associated with lower odds of difficulty falling asleep by 0.89-0.90 (95% confidence intervals [CIs] 0.80-0.99). Branched-chain and aromatic amino acids (odds ratios [ORs] 1.19-1.25, 95% CIs 1.09-1.36) were positively associated with snoring. Total cholesterol in low-density lipoprotein (OR 0.90, 95% CI 0.83-0.97) and high-density lipoprotein (OR 0.88, 95% CI 0.81-0.95) associated with lower odds of snoring. In the fully adjusted model, most associations persisted. To conclude, histidine and valine associated with lower odds of difficulty falling asleep, while docosahexaenoic acid and cholesterol in low-density lipoprotein and high-density lipoprotein subfractions associated with lower odds of snoring. Identified metabolites could provide guidance on the metabolic pathways associated with adverse sleep quality.

Indexed as

SleepCohort StudiesCross-Sectional StudiesFatigueFemaleHumansMaleMiddle AgedPlasmaSleep Initiation and Maintenance DisordersSnoringamino acidsdifficulty falling asleeplipoproteinsmetabolitessnoring

Identifiers

PMID33283399
PMCPMC8365718
OpenAlexW3112098836

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.