Evidence map›Paper›PMID 32191323›Full record

ArticleSleep2020

Excessive daytime sleepiness is associated with altered gene expression in military personnel and veterans with posttraumatic stress disorder: an RNA sequencing study.

Cassandra L Pattinson, Vivian A Guedes, Katie Edwards, Sara Mithani, Sijung Yun, Patricia Taylor, Kerri Dunbar, Hyung-Suk Kim, Chen Lai, Michael J Roy and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Sleep, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Sleep disturbances following traumatic brain injury are associated with poor neurobehavioral outcomes in US military service members and veterans.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021
    Article
  4. Article
  5. Review
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

11 authors at 3 institutions in 2 countries.

Cassandra L PattinsonNational Institutes of Nursing Research, National Institutes of Health, Bethesda, MD.
Vivian A GuedesNational Institutes of Nursing Research, National Institutes of Health, Bethesda, MD.
Katie EdwardsNational Institutes of Nursing Research, National Institutes of Health, Bethesda, MD.
Sara MithaniNational Institutes of Nursing Research, National Institutes of Health, Bethesda, MD.
Sijung YunNational Institutes of Nursing Research, National Institutes of Health, Bethesda, MD.
Patricia TaylorInstitute for Social Science Research, University of Queensland, Indooroopilly, Queensland, Australia.
Kerri DunbarInstitute for Social Science Research, University of Queensland, Indooroopilly, Queensland, Australia.
Hyung-Suk KimNational Institutes of Nursing Research, National Institutes of Health, Bethesda, MD.
Chen LaiNational Institutes of Nursing Research, National Institutes of Health, Bethesda, MD.
Michael J RoyCenter for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD.
Jessica M GillNational Institutes of Nursing Research, National Institutes of Health, Bethesda, MD.
National Institutes of Health · USUniformed Services University of the Health Sciences · USHenry M. Jackson Foundation · US

Funding

Genomic Approaches for Elucidating Novel Targets for Pain and Symptom ManagementZIANR000015 · NINR · NATIONAL INSTITUTE OF NURSING RESEARCH · PI KIM, HYUNG SUK · 2009 to 2021
$20.2M
6 · The paper itself

Abstract

STUDY

objectivesPosttraumatic stress disorder (PTSD) is a common condition for military personnel and veterans. PTSD has been shown to impact gene expression, however, to date no study has examined comorbid conditions which may also impact gene expression, for example, excessive daytime sleepiness (EDS). As such, this study sought to examine gene expression using RNA sequencing across three group comparisons of military personnel and veterans: (1) PTSD with EDS (PTSDwEDS) versus PTSD without EDS (PTSDw/outEDS), (2) Controls (no PTSD or EDS) versus PTSDwEDS, and (3) Controls versus PTSDw/outEDS.

methodsWe performed experimental RNA-seq using Illumina's HiSeq 2500 Sequencing System. We also used Ingenuity Pathway Analysis (IPA), a bioinformatics application, to identify gene pathways and networks which may be disrupted.

resultsThere were only two genes that were significantly dysregulated between the Controls and PTSDw/outEDS, therefore IPA analysis was not conducted. However, comparisons revealed that there was significant gene dysregulation between Controls and the PTSDwEDS (251 genes), and the PTSDwEDS versus the PTSDw/outEDS (1,873 genes) groups. Four candidate networks were identified via the IPA software for analysis. Significantly dysregulated genes across the four candidate networks were associated with sleep and circadian function, metabolism, mitochondrial production and function, ubiquitination, and the glutamate system.

conclusionsThese results suggest that PTSD with concurrent EDS is associated with gene dysregulation. This dysregulation may present additional biological and health consequences for these military personnel and veterans. Further research, to track these gene changes over time and to determine the cause of the EDS reported, is vital.

Indexed as

Disorders of Excessive SomnolenceMilitary PersonnelStress Disorders, Post-TraumaticVeteransGene ExpressionHumansSequence Analysis, RNAadiposityEpworth sleepiness scalegene activitymetabolismmitochondriaPTSD

Identifiers

PMID32191323
PMCPMC7749187
OpenAlexW3010645031

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.