已发表论文

阻塞性睡眠呼吸暂停合并重度抑郁症患者口腔微生物群的全基因组宏基因组分析

 

Authors Ye J, Lv Y , Xie H, Lian K, Xu X

Received 16 April 2024

Accepted for publication 23 July 2024

Published 29 July 2024 Volume 2024:16 Pages 1091—1108

DOI https://doi.org/10.2147/NSS.S474052

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Valentina Alfonsi

Jing Ye,1,2 Yunhui Lv,2 Hui Xie,3 Kun Lian,4 Xiufeng Xu1 

1Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People’s Republic of China; 2Sleep Medicine Center, The First People’s Hospital of Yunnan, Kunming, Yunnan, People’s Republic of China; 3Department of Traumatology, The First People’s Hospital of Yunnan, Kunming, Yunnan, People’s Republic of China; 4Department of Neurosurgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People’s Republic of China

Correspondence: Xiufeng Xu, Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, No. 295 of Xichang Road, Kunming City, Yunnan Province, People’s Republic of China, Email xfxu2004@sina.com

Background: Obstructive sleep apnea (OSA) patients commonly experience high rates of depression. This study aims to examine the oral microbiota characteristics of OSA and those with comorbid major depressive disorder (OSA+MDD) patients.
Methods: Participants were enrolled from Aug 2022 to Apr 2023. Polysomnography, psychiatrist interviews, and scales were used to diagnose OSA and MDD. Oral samples were collected from participants by rubbing swabs on buccal mucosa, palate, and gums. Oral microbiota was analyzed via whole-genome metagenomics and bioinformatic analysis followed sequencing. Venous blood was drawn to detect plasma inflammatory factor levels.
Results: The study enrolled 33 OSA patients, 28 OSA+MDD patients, and 28 healthy controls. Significant differences were found in 8 phyla, 229 genera, and 700 species of oral microbiota among the three groups. Prevotellaceae abundance in the OSA and OSA+MDD groups was significantly lower than that in healthy controls. Linear discriminant analysis effect size (LEfSe) analysis showed that Streptococcaceae and Actinobacteria were the characteristic oral microbiota of the OSA and OSA+MDD groups, respectively. KEGG analysis indicates 30 pathways were changed in the OSA and OSA+MDD groups compared with healthy controls, and 23 pathways were changed in the OSA group compared with the OSA+MDD group. Levels of IL-6 in the OSA+MDD group were significantly higher than in the healthy group, correlating positively with the abundance of Schaalia, Campylobacter, Fusobacterium, Alloprevotella, and Candidatus Nanosynbacter in the oral, as well as with Hamilton Anxiety Rating Scale and Hamilton Depression Rating Scale scores.
Conclusion: Significant differences in oral microbiota populations and gene function were observed among the three groups. OSA patients were characterized by a decreased abundance of Prevotellaceae and an increased abundance of Streptococcaceae. OSA+MDD patients had an increased abundance of Actinobacteria. IL-6 might regulate the relationship between depression and the oral microbiota in OSA+MDD patients.

Keywords: obstructive sleep apnea, major depressive disorder, oral microbiota, whole-genome metagenomic analysis, inflammatory factors