Please use this identifier to cite or link to this item: doi:10.22028/D291-35409
Title: Circulating small non-coding RNAs associated with age, sex, smoking, body mass and physical activity
Author(s): Rounge, Trine B.
Umu, Sinan U.
Keller, Andreas
Meese, Eckart
Ursin, Giske
Tretli, Steinar
Lyle, Robert
Langseth, Hilde
Language: English
Title: Scientific Reports
Volume: 8
Issue: 1
Publisher/Platform: Springer Nature
Year of Publication: 2018
Free key words: piRNAs
Janus Serum Bank (JSB)
Blood Donor Group (BDg)
Red Cross Blood Donors (RCBD)
DDC notations: 610 Medicine and health
Publikation type: Journal Article
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.
DOI of the first publication: 10.1038/s41598-018-35974-4
Link to this record: urn:nbn:de:bsz:291--ds-354091
ISSN: 2045-2322
Date of registration: 4-Feb-2022
Description of the related object: Electronic supplementary material
Related object:
Faculty: M - Medizinische Fakultät
Department: M - Humangenetik
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professorship: M - Univ.-Prof. Dr. Andreas Keller
M - Prof. Dr. Eckhart Meese
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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