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Obstructive sleep apnea, circulating microRNAs, and risk of cardiovascular disease.
- Source :
-
Sleep medicine [Sleep Med] 2023 Sep; Vol. 109, pp. 1-3. Date of Electronic Publication: 2023 Jun 17. - Publication Year :
- 2023
-
Abstract
- Objective: while obstructive sleep apnea is strongly associated with incident cardiovascular diseases (CVD), the underlying mechanisms remain to be elucidated. This study aimed to compare the patterns of microRNAs expression between OSA and control patients with and without incident CVD.<br />Methods: 218 matched adult participants with and without OSA and with and without incident CVD were selected from two independent community-based prospective cohorts in France and Switzerland, and 168 microRNAs on average were detected per sample. OSA was diagnosed using the validated Berlin questionnaire in one study (Paris Prospective Study 3) and during a full-night polysomnography in the second study (HypnoLaus Study).<br />Results: there were 78 OSA patients (39 with and 39 without CVD) and 140 controls (70 with and 70 without CVD). Participants were male in 54.6% (n = 119) and mean age was 58.7 years (±9.2). Of the 183 miRNAs screened, a mean 168 assays were detected per sample, and 129 in all samples. There was no pattern of blood microRNAs expression that discriminated OSA patients with and without CVD events.<br />Conclusions: this binational study failed to find any association between a large panel of microRNAs and OSA patients with and without incident CVD.<br />Competing Interests: Declaration of competing interest None<br /> (Copyright © 2023 Elsevier B.V. All rights reserved.)
- Subjects :
- Adult
Humans
Male
Middle Aged
Female
Prospective Studies
Polysomnography
Risk Factors
Cardiovascular Diseases epidemiology
Cardiovascular Diseases genetics
Cardiovascular Diseases complications
MicroRNAs
Sleep Apnea, Obstructive epidemiology
Sleep Apnea, Obstructive genetics
Sleep Apnea, Obstructive complications
Subjects
Details
- Language :
- English
- ISSN :
- 1878-5506
- Volume :
- 109
- Database :
- MEDLINE
- Journal :
- Sleep medicine
- Publication Type :
- Academic Journal
- Accession number :
- 37354730
- Full Text :
- https://doi.org/10.1016/j.sleep.2023.06.006