The importance of autophagy regulation in obstructive sleep apnea

Ding, Hui; Guo, Hengjuan; Cao, Jie

doi:10.1007/s11325-020-02261-4

Cited by 4 publications

(4 citation statements)

References 59 publications

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“…Functional enrichment analysis was conducted after reclassifying the microarray according to the mitochondrial dysfunction and our results indicated that DEGs of two clusters were primarily involved in autophagy, inflammation and immune pathways. 1) Regarding autophagy, consistent with our results, OSA is known to induce autophagy as a result of hypoxia, oxidative stress, and endothelial dysfunction ( Ding et al, 2021 ). Autophagy is related to metabolic disorders, tumors, pulmonary diseases, and neurodegenerative disorders, and mitophagy is an autophagic response that specifically targets mitochondria ( Bravo-San Pedro et al, 2017 ).…”

Section: Discussionsupporting

confidence: 88%

Construction of a mitochondrial dysfunction related signature of diagnosed model to obstructive sleep apnea

Liu

Hao²,

Li³

et al. 2022

Front. Genet.

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Background: The molecular mechanisms underlying obstructive sleep apnea (OSA) and its comorbidities may involve mitochondrial dysfunction. However, very little is known about the relationships between mitochondrial dysfunction-related genes and OSA.Methods: Mitochondrial dysfunction-related differentially expressed genes (DEGs) between OSA and control adipose tissue samples were identified using data from the Gene Expression Omnibus database and information on mitochondrial dysfunction-related genes from the GeneCards database. A mitochondrial dysfunction-related signature of diagnostic model was established using least absolute shrinkage and selection operator Cox regression and then verified. Additionally, consensus clustering algorithms were used to conduct an unsupervised cluster analysis. A protein–protein interaction network of the DEGs between the mitochondrial dysfunction-related clusters was constructed using STRING database and the hub genes were identified. Functional analyses, including Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, gene set enrichment analysis (GSEA), and gene set variation analysis (GSVA), were conducted to explore the mechanisms involved in mitochondrial dysfunction in OSA. Immune cell infiltration analyses were conducted using CIBERSORT and single-sample GSEA (ssGSEA).Results: we established mitochondrial dysfunction related four-gene signature of diagnostic model consisted of NPR3, PDIA3, SLPI, ERAP2, and which could easily distinguish between OSA patients and controls. In addition, based on mitochondrial dysfunction-related gene expression, we identified two clusters among all the samples and three clusters among the OSA samples. A total of 10 hub genes were selected from the PPI network of DEGs between the two mitochondrial dysfunction-related clusters. There were correlations between the 10 hub genes and the 4 diagnostic genes. Enrichment analyses suggested that autophagy, inflammation pathways, and immune pathways are crucial in mitochondrial dysfunction in OSA. Plasma cells and M0 and M1 macrophages were significantly different between the OSA and control samples, while several immune cell types, especially T cells (γ/δ T cells, natural killer T cells, regulatory T cells, and type 17 T helper cells), were significantly different among mitochondrial dysfunction-related clusters of OSA samples.Conclusion: A novel mitochondrial dysfunction-related four-gen signature of diagnostic model was built. The genes are potential biomarkers for OSA and may play important roles in the development of OSA complications.

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Section: Discussionsupporting

confidence: 88%

Construction of a mitochondrial dysfunction related signature of diagnosed model to obstructive sleep apnea

Liu

Hao²,

Li³

et al. 2022

Front. Genet.

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“… 73 OSA can induce autophagy through hypoxia, oxidative stress, endoplasmic reticulum stress, endothelial dysfunction, and miRNA. 76 Hypoxia is one of the reasons for mTOR inactivation. Therefore, we speculate that autophagy in OSA patients may increase due to hypoxia, but if it is excessively increased, it might cause synaptic dysfunction.…”

Section: Discussionmentioning

confidence: 99%

Whole-Genome Metagenomic Analysis of the Oral Microbiota in Patients with Obstructive Sleep Apnea Comorbid with Major Depressive Disorder

Ye,

Lv,

Xie

et al. 2024

NSS

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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.

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“…Moreover, evidence indicates that autophagy may play a role in preventing tumorigenesis inside the pancreas. For example, autophagy has been shown to help stop endoplasmic reticulum (ER) tension in pancreatic acinar cells [ 64 ], which are exocrine pancreatic cells that produce and contain a substantial number of digestion enzymes. As acinar cells induce cells to secrete pancreatic enzymes, those with a large ER channel and burden have also been associated with pancreatitis, a potential risk factor for PDAC development.…”

Section: Interactions For Both Autophagy and Pdacmentioning

confidence: 99%

Therapeutic Aspects and Molecular Targets of Autophagy to Control Pancreatic Cancer Management

et al. 2022

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Pancreatic cancer (PC) begins within the organ of the pancreas, which produces digestive enzymes, and is one of the formidable cancers for which appropriate treatment strategies are urgently needed. Autophagy occurs in the many chambers of PC tissue, including cancer cells, cancer-related fibroblasts, and immune cells, and can be fine-tuned by various promotive and suppressive signals. Consequently, the impacts of autophagy on pancreatic carcinogenesis and progression depend greatly on its stage and conditions. Autophagy inhibits the progress of preneoplastic damage during the initial phase. However, autophagy encourages tumor formation during the development phase. Several studies have reported that both a tumor-promoting and a tumor-suppressing function of autophagy in cancer that is likely cell-type dependent. However, autophagy is dispensable for pancreatic ductal adenocarcinoma (PDAC) growth, and clinical trials with autophagy inhibitors, either alone or in combination with other therapies, have had limited success. Autophagy’s dual mode of action makes it therapeutically challenging despite autophagy inhibitors providing increased longevity in medical studies, highlighting the need for a more rigorous review of current findings and more precise targeting strategies. Indeed, the role of autophagy in PC is complicated, and numerous factors must be considered when transitioning from bench to bedside. In this review, we summarize the evidence for the tumorigenic and protective role of autophagy in PC tumorigenesis and describe recent advances in the understanding of how autophagy may be regulated and controlled in PDAC.

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The importance of autophagy regulation in obstructive sleep apnea

Cited by 4 publications

References 59 publications

Construction of a mitochondrial dysfunction related signature of diagnosed model to obstructive sleep apnea

Construction of a mitochondrial dysfunction related signature of diagnosed model to obstructive sleep apnea

Whole-Genome Metagenomic Analysis of the Oral Microbiota in Patients with Obstructive Sleep Apnea Comorbid with Major Depressive Disorder

Therapeutic Aspects and Molecular Targets of Autophagy to Control Pancreatic Cancer Management

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