Evidence map›Paper›PMID 27428854›Full record

ArticlePsychosomatic medicine2017

Reciprocal Relationship Between Sleep Macrostructure and Evening and Morning Cellular Inflammation in Rheumatoid Arthritis.

Martin F Bjurström, Richard Olmstead, Michael R Irwin

Abstract read
In one paragraph

Article in Psychosomatic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.2field-weighted citation impact, top 7% 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

30 citing papers in PubMed, 49 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

3 authors at 1 institution in 1 country.

Martin F BjurströmFrom the Cousins Center for Psychoneuroimmunology, UCLA Semel Institute for Neuroscience, Los Angeles, California.
Richard Olmstead
Michael R Irwin
UCLA Medical Center · US

Funding

UCLA CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR033176 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2011 to 2011
$15.5M
UCLA OLDER AMERICANS INDEPENDENCE CENTERP30AG028748 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MOORE, ALISON AHERN · 2006 to 2017
$9.8M
Aging: Sleep and Inflammatory Mechanisms in Depression PreventionR01AG026364 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI IRWIN, MICHAEL R · 2005 to 2015
$5.8M
Sleep, Inflamation, and Depression Occurrence in Breast Cancer SurvivorsR01CA160245 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI IRWIN, MICHAEL R · 2012 to 2016
$3.9M
Chronic Moderate Sleep Restriction in Older Long and Older Average SleepersR01HL095799 · NHLBI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI IRWIN, MICHAEL R, JEAN-LOUIS, GIRARDIN · 2011 to 2015
$3.8M
Sleep and Immune Mechanisms in Rheumatoid ArthritisR01HL079955 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI IRWIN, MICHAEL R · 2006 to 2009
$3.0M
Mechanisms of Sleep Disruption HyperalgesiaR01DA032922 · NIDA · JOHNS HOPKINS UNIVERSITY · PI IRWIN, MICHAEL R, SMITH, MICHAEL T · 2012 to 2016
$2.7M
Tai Chi Effects on Chronic Insomnia in Breast Cancer Survivors: Immune MechanismsR01CA119159 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI IRWIN, MICHAEL R · 2006 to 2010
$2.2M
Subjective Social Isolation and Sleep Disturbances: Inflammatory Mechanisms in AgR01AG034588 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI IRWIN, MICHAEL R · 2009 to 2013
$1.9M
NCI NIH HHS R01 CA119159NCI NIH HHS R01 CA160245NCRR NIH HHS UL1 RR033176NHLBI NIH HHS R01 HL079955NHLBI NIH HHS R01 HL095799NIA NIH HHS P30 AG028748NIA NIH HHS R01 AG026364NIA NIH HHS R01 AG034588NIDA NIH HHS R01 DA032922
6 · The paper itself

Abstract

objectiveThis study examined the reciprocal associations between sleep macrostructure and levels of cellular inflammation in rheumatoid arthritis (RA) patients and controls.

methodsRA patients (n = 24) and matched controls (n = 48) underwent all-night polysomnography, along with assessment of spontaneous- and Toll-like receptor-4-stimulated monocytic production of tumor necrosis factor α (TNF) and interleukin (IL)-6 at 11:00 PM and 8:00 AM.

resultsAs compared with controls, RA patients showed lower levels of sleep efficiency (mean [standard deviation], 88.1 [6.1] versus 83.8 [7.0]), a higher percentage stage 3 sleep (9.3 [6.4] versus 13.1 [6.9]), and higher levels of percentage of monocytes either spontaneously expressing TNF at 11:00 PM (log transformed, 1.07 [0.28] versus 1.22 [0.17]), and higher Toll-like receptor-4-stimulated production of IL6 at 8:00 AM (log transformed, 3.45 [0.80] versus 3.83 [0.39]). Higher levels of stimulated production of TNF at 11:00 PM were associated with higher sleep efficiency (0.74). In turn, sleep efficiency had a countervailing relationship on TNF production at 8:00 AM (-0.64). Higher levels of spontaneous and stimulated production of IL6 at 11:00 PM were associated with more stage 3 (0.39), stage 4 (0.43), and slow-wave sleep (0.49), with evidence that stage 4 had a countervailing relationship on IL6 production at 8:00 AM (-0.60).

conclusionsRA patients show evidence of sleep fragmentation, greater sleep depth, and higher levels of cellular inflammation. Sleep maintenance and sleep depth show countervailing relationships with evening and morning levels of monocytic production of TNF and IL-6, respectively, which support the hypothesis of a feedback loop between sleep maintenance, slow-wave sleep, and cellular inflammation that is cytokine specific.

Indexed as

AgedArthritis, RheumatoidFemaleHumansInflammationInterleukin-6MaleMiddle AgedPeriodicityPolysomnographySleep StagesToll-Like Receptor 4Tumor Necrosis Factor-alphaIL6 protein, humanInterleukin-6TLR4 protein, humanToll-Like Receptor 4Tumor Necrosis Factor-alpha

Identifiers

PMID27428854
PMCPMC5182143
OpenAlexW2473163501

What OpenQuestion holds

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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.