Evidence map›Paper›PMID 30518766›Full record

ArticleScientific reports2018

Circulating small non-coding RNAs associated with age, sex, smoking, body mass and physical activity.

Trine B Rounge, Sinan U Umu, Andreas Keller, Eckart Meese, Giske Ursin, Steinar Tretli, Robert Lyle, Hilde Langseth

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 26% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 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

8 authors at 3 institutions in 2 countries.

Trine B RoungeDepartment of Research, Cancer Registry of Norway, Oslo, Norway. trine.rounge@kreftregisteret.no.ORCID http://orcid.org/0000-0003-2677-2722
Sinan U UmuDepartment of Research, Cancer Registry of Norway, Oslo, Norway.ORCID http://orcid.org/0000-0001-8081-7819
Andreas KellerDepartment of Clinical Bioinformatics, Saarland University, 66041, Saarbruecken, Germany.ORCID http://orcid.org/0000-0002-5361-0895
Eckart MeeseDepartment of Human Genetics, Saarland University, 66421, Homburg/Saar, Germany.
Giske UrsinDepartment of Research, Cancer Registry of Norway, Oslo, Norway.
Steinar TretliDepartment of Research, Cancer Registry of Norway, Oslo, Norway.
Robert LyleDepartment of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway.
Hilde LangsethDepartment of Research, Cancer Registry of Norway, Oslo, Norway.
Cancer Registry of Norway · NOSaarland University · DEOslo University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small non-coding RNAs (sncRNA) are regulators of cell functions and circulating sncRNAs from the majority of RNA classes are potential non-invasive biomarkers. Understanding how common traits influence ncRNA expression is essential for assessing their biomarker potential. In this study, we identify associations between sncRNA expression and common traits (sex, age, self-reported smoking, body mass, self-reported physical activity). We used RNAseq data from 526 serum samples from the Janus Serum Bank and traits from health examination surveys. Ageing showed the strongest association with sncRNA expression, both in terms of statistical significance and number of RNAs, regardless of RNA class. piRNAs were abundant in the serum samples and they were associated to sex. Interestingly, smoking cessation generally restored RNA expression to non-smoking levels, although for some sncRNAs smoking-related expression levels persisted. Pathway analysis suggests that smoking-related sncRNAs target the cholinergic synapses and may therefore potentially play a role in smoking addiction. Our results show that common traits influence circulating sncRNA expression. It is clear that sncRNA biomarker analyses should be adjusted for age and sex. In addition, for specific sncRNAs, analyses should also be adjusted for body mass, smoking, physical activity and technical factors.

Indexed as

ExerciseAdultAgedAgingBody Mass IndexFemaleHumansMaleMiddle AgedRNA, Small InterferingRNA, Small UntranslatedSmokingTranscriptomeRNA, Small InterferingRNA, Small Untranslated

Identifiers

PMID30518766
PMCPMC6281647
OpenAlexW2950766853

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.