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Genetic Variants of the TERT Gene and Telomere Length in Obstructive Sleep Apnea

Authors :
Piotr Macek
Rafal Poreba
Pawel Gac
Katarzyna Bogunia-Kubik
Marta Dratwa
Mieszko Wieckiewicz
Anna Wojakowska
Monika Michalek-Zrabkowska
Grzegorz Mazur
Helena Martynowicz
Source :
Biomedicines, Vol 10, Iss 11, p 2755 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Introduction: Obstructive sleep apnea (OSA) is a worldwide breathing disorder that has been diagnosed globally in almost 1 billion individuals aged 30–69 years. It is characterized by repeated upper airway collapses during sleep. Telomerase reverse transcriptase (TERT) is involved in the prevention of telomere shortening. This prospective, observational study aimed to investigate the relationship between single nucleotide polymorphisms (SNPs) of TERT and the severity of OSA, taking into account hypertension and diabetes prevalence. Methods: A total of 149 patients with OSA were diagnosed using one-night video-polysomnography based on the American Academy of Sleep Medicine guidelines. The TERT SNPs and telomere length (TL) were detected using real-time quantitative polymerase chain reaction. Results: Statistical analysis showed that there is no relationship between the rs2853669 and rs2736100 polymorphisms of TERT, and the severity of OSA (p > 0.05). Moreover, no relationship between TL and the severity of OSA was observed. The G allele in the locus of rs2736100 TERT was associated with hypertension prevalence and was more prevalent in hypertensives patients (46.00% vs. 24.49%, p = 0.011). The prevalence of hypertension was higher in patients with the C allele in the locus of rs2853669 than in patients without this allele (50.79% vs. 30.23%, p = 0.010). Moreover, a lower prevalence of diabetes was observed in homozygotes of rs2736100 TERT than in heterozygotes (5.63% vs. 15.38%, p = 0.039). Conclusion: This study showed no relationship between OSA and TERT SNPs. However, SNPs of the TERT gene (rs2736100 and rs2853669) were found to affect arterial hypertension and diabetes prevalence.

Details

Language :
English
ISSN :
22279059
Volume :
10
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Biomedicines
Publication Type :
Academic Journal
Accession number :
edsdoj.3aa5b9b8754040518f0422b49352c389
Document Type :
article
Full Text :
https://doi.org/10.3390/biomedicines10112755