Evidence map›Paper›PMID 28448590›Full record

Trial reportPloS one2017

Significant changes in circulating microRNA by dietary supplementation of selenium and coenzyme Q10 in healthy elderly males. A subgroup analysis of a prospective randomized double-blind placebo-controlled trial among elderly Swedish citizens.

Urban Alehagen, Peter Johansson, Jan Aaseth, Jan Alexander, Dick Wågsäter

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 49 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Selenium and Coenzyme QNutrients · 2022
    Trial
  4. Article
  5. Review
  6. Article
  7. Review
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Role of Coenzyme QAntioxidants (Basel, Switzerland) · 2021
    Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

5 authors at 3 institutions in 2 countries.

Urban AlehagenDivision of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.ORCID http://orcid.org/0000-0001-8205-0041
Peter JohanssonDivision of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Jan AasethResearch Department, Innlandet Hospital Trust, Elverum, Norway, and Hedmark University College, Elverum, Norway.
Jan AlexanderNorwegian Institute of Public Health, Oslo, and Norwegian University of Life Sciences (NMBU), Ås, Norway.
Dick WågsäterDivision of Drug Research, Department of Medical and Health Sciences, Faculty of Health Sciences, Linköping University, Linköping, Sweden.
Linköping University · SEInnlandet Hospital Trust · NONorwegian Institute of Public Health · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelenium and coenzyme Q10 is essential for important cellular functions. A low selenium intake is reported from many European countries, and the endogenous coenzyme Q10 production is decreasing in the body with increasing age. Supplementation with selenium and coenzyme Q10 in elderly have shown reduced cardiovascular mortality and reduced levels of markers of inflammation. However, microRNA analyses could give important information on the mechanisms behind the clinical effects of supplementation.

methodsOut of the 443 healthy elderly participants that were given supplementation with 200 μg Se/day as organic selenium yeast tablets, and 200 mg/day of coenzyme Q10 capsules, or placebo for 4 years, 25 participants from each group were randomized and evaluated regarding levels of microRNA. Isolation of RNA from plasma samples and quantitative PCR analysis were performed. Volcano- and principal component analyses (PCA)-plots were used to illustrate the differences in microRNA expression between the intervention, and the placebo groups. Serum selenium concentrations were measured before intervention.

findingsOn average 145 different microRNAs out of 172 were detected per sample. In the PCA plots two clusters could be identified indicating significant difference in microRNA expression between the two groups. The pre-treatment expression of the microRNAs did not differ between active treatment and the placebo groups. When comparing the post-treatment microRNAs in the active and the placebo groups, 70 microRNAs exhibited significant differences in expression, also after adjustment for multiple measurements. For the 20 microRNAs with the greatest difference in expression the difference was up to more than 4 fold and with a P-value that were less than 4.4e-8.

conclusionsSignificant differences were found in expression of more than 100 different microRNAs with up to 4 fold differences as a result of the intervention of selenium and coenzyme Q10 combined. The changes in microRNA could be a part of mechanisms underlying the clinical effects earlier reported that reduced cardiovascular mortality, gave better cardiac function, and showed less signs of inflammation and oxdative stress following the intervention. However, more research is needed to understand biological mechanisms of the protective effects of selenium and Q10 supplementation.

Indexed as

Dietary SupplementsHealthy VolunteersAgedAged, 80 and overDouble-Blind MethodGene Expression RegulationHumansMaleMicroRNAsPlacebo EffectProspective StudiesSeleniumSwedenUbiquinonecoenzyme Q10MicroRNAsSeleniumUbiquinone

Identifiers

PMID28448590
PMCPMC5407645
OpenAlexW2608558050

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.