Altered Airway Microbiota Composition in Patients With Pulmonary Hypertension

Zhang, Chenting; Zhang, Tingting; Lu, Wenju; Duan, Xuefei; Luo, Xiaoning; Liu, Shiyun; Chen, Yuqin; Li, Yang; Chen, Jiyuan; Liao, Jing; Zhou, Dansha; Xu, Chen; Feng, Huazhuo; Gu, Guoping; Wang, Tao; Tang, Haiyang; Zhong, Nanshan; Yuan, Jason X.‐J.; Yang, Kai; Jian, Wang

doi:10.1161/hypertensionaha.120.15025

Cited by 29 publications

(28 citation statements)

References 44 publications

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“…Alpha diversity of patients with OSA or HTN decreased compared with the control group, indicating a decrease in the richness of the microflora, which was similar to the results of previous studies. 16 , 32 Simultaneously, beta-diversity analysis suggested there was significantly different community evolution structures among the different groups of patients. Ko et al found the abundance of the Porphyromonas was significantly higher in oral mucosal samples of OSA patients with or without HTN compared with controls.…”

Section: Discussionmentioning

confidence: 96%

Altered Salivary Microbiota in Patients with Obstructive Sleep Apnea Comorbid Hypertension

Chen¹,

Chen²,

Feng³

et al. 2022

NSS

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Purpose Microorganisms contribute to the pathogenesis of obstructive sleep apnea (OSA)-associated hypertension (HTN), while more studies focus on intestinal microbiome. However, the relationship between oral microbiota and OSA-associated HTN has yet to be elucidated. This study aimed to identify differences in salivary microbiota between patients with OSA comorbid HTN compared with OSA patients, and furthermore evaluate the relationship between oral microbiome changes and increased blood pressure in patients with OSA. Patients and Methods This study collected salivary samples from 103 participants, including 27 healthy controls, 27 patients with OSA, 23 patients with HTN, and 26 patients with OSA comorbid HTN, to explore alterations of the oral microbiome using 16S rRNA gene V3-V4 high-throughput sequencing. And ultra-high-performance liquid chromatography was used for metabolomic analysis. Results Alpha- and beta-diversity analyses revealed a substantial difference in community structure and diversity in patients with OSA comorbid HTN compared with patients with OSA or HTN. The relative abundance of the genus Actinomyces was significantly decreased in patients with HTN compared with healthy controls, and those with OSA concomitant HTN compared with the patients in OSA, but was not significantly different between patients with OSA and healthy controls. Linear discriminant analysis effect size and variance analysis also indicated that the genera Haemophilus, Neisseria , and Lautropia were enriched in HTN. In addition, Oribacterium was an unique taxa in the OSA comorbid HTN group compared with the control group. Metabolomic analysis of saliva identified compounds associated with cardiovascular disease in patients with OSA comorbid HTN.2-hydroxyadenine, was significantly increased in the group of patients with OSA compared with controls, and L-carnitine was significantly decreased in patients with OSA comorbid HTN compared with OSA patients. Conclusion This study highlighted noninvasive biomarkers for patients with OSA comorbid HTN. As the first study to find alterations of the salivary microbiome in patients with OSA comorbid HTN, it may provide a theoretical foundation for clinical diagnosis and treatment of this condition.

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Section: Discussionmentioning

confidence: 96%

Altered Salivary Microbiota in Patients with Obstructive Sleep Apnea Comorbid Hypertension

Chen¹,

Chen²,

Feng³

et al. 2022

NSS

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“…All extracted DNA samples were stored at −80°C for further analysis. The amplicon library preparation was performed by polymerase chain reaction amplification of the V3-V4 region of the 16S rRNA gene using the primer pairs: 338F (5′-ACTCCTACGGGAGGCAGCAG-3′) and 806R (5′-GGACTACHVGGGTWTCT-AAT-3′) by thermocycler polymerase chain reaction system ABI GeneAmp 9700 (Thermo Fisher Scientific, Wilmington, DE, United States) The polymerase chain reactions amplification refer to the previous study ( Zhang et al, 2020 ).…”

Section: Methodsmentioning

confidence: 99%

A Metagenomic Insight Into the Hindgut Microbiota and Their Metabolites for Dairy Goats Fed Different Rumen Degradable Starch

Han

Xuexin

et al. 2021

Front. Microbiol.

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High starch diets have been proven to increase the risk of hindgut acidosis in high-yielding dairy animals. As an effective measurement of dietary carbohydrate for ruminants, studies on rumen degradable starch (RDS) and the effects on the gut microbiota diversity of carbohydrate-active enzymes (CAZymes), and Kyoto Encyclopedia of Genes and Genomes (KEGG) Orthology functional categories are helpful to understand the mechanisms between gut microbiota and carbohydrate metabolism in dairy goats. A total of 18 lactating goats (45.8 ± 1.54 kg) were randomly divided equally into three dietary treatments with low dietary RDS concentrations of 20.52% (LRDS), medium RDS of 22.15% (MRDS), and high RDS of 24.88% (HRDS) on a DM basis for 5 weeks. Compared with the LRDS and MRDS groups, HRDS increased acetate molar proportion in the cecum. For the HRDS group, the abundance of family Ruminococcaceae and genus Ruminococcaceae UCG-010 were significantly increased in the cecum. For the LRDS group, the butyrate molar proportion and the abundance of butyrate producer family Bacteroidale_S24-7, family Lachnospiraceae, and genus Bacteroidale_S24-7_group were significantly increased in the cecum. Based on the BugBase phenotypic prediction, the microbial oxidative stress tolerant and decreased potentially pathogenic in the LRDS group were increased in the cecum compared with the HRDS group. A metagenomic study on cecal bacteria revealed that dietary RDS level could affect carbohydrate metabolism by increasing the glycoside hydrolase 95 (GH95) family and cellulase enzyme (EC 3.2.1.4) in the HRDS group; increasing the GH13_20 family and isoamylase enzyme (EC 3.2.1.68) in the LRDS group. PROBIO probiotics database showed the relative gene abundance of cecal probiotics significantly decreased in the HRDS group. Furthermore, goats fed the HRDS diet had a lower protein expression of Muc2, and greater expression RNA of interleukin-1β and secretory immunoglobulin A in cecal mucosa than did goats fed the LRDS diet. Combined with the information from previous results from rumen, dietary RDS level altered the degradation position of carbohydrates in the gastrointestinal (GI) tract and increased the relative abundance of gene encoded enzymes degrading cellulose in the HRDS group in the cecum of dairy goats. This study revealed that the HRDS diet could bring disturbances to the microbial communities network containing taxa of the Lachnospiraceae and Ruminococcaceae and damage the mucus layer and inflammation in the cecum of dairy goats.

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“…The symptoms of worsening hypoxia include gradual cessation of consciousness, purple skin all over the body, decreased blood pressure, dilated pupils, coma, and finally death due to breathing difficulties, cardiac arrest, and hypoxic asphyxiation. Altitude sickness can occur when the body undergoes a change in altitude ( Zhang et al, 2020 ). Some diseases, such as colorectal and liver cancer, neonatal necrotizing enterocolitis (NEC), and the currently urgent COVID-19, involve varying degrees of anoxia ( Zhou et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Hypoxia: The “Invisible Pusher” of Gut Microbiota

et al. 2021

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Oxygen is important to the human body. Cell survival and operations depend on oxygen. When the body becomes hypoxic, it affects the organs, tissues and cells and can cause irreversible damage. Hypoxia can occur under various conditions, including external environmental hypoxia and internal hypoxia. The gut microbiota plays different roles under hypoxic conditions, and its products and metabolites interact with susceptible tissues. This review was conducted to elucidate the complex relationship between hypoxia and the gut microbiota under different conditions. We describe the changes of intestinal microbiota under different hypoxic conditions: external environment and internal environment. For external environment, altitude was the mayor cause induced hypoxia. With the increase of altitude, hypoxia will become more serious, and meanwhile gut microbiota also changed obviously. Body internal environment also became hypoxia because of some diseases (such as cancer, neonatal necrotizing enterocolitis, even COVID-19). In addition to the disease itself, this hypoxia can also lead to changes of gut microbiota. The relationship between hypoxia and the gut microbiota are discussed under these conditions.

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Altered Airway Microbiota Composition in Patients With Pulmonary Hypertension

Cited by 29 publications

References 44 publications

Altered Salivary Microbiota in Patients with Obstructive Sleep Apnea Comorbid Hypertension

Altered Salivary Microbiota in Patients with Obstructive Sleep Apnea Comorbid Hypertension

A Metagenomic Insight Into the Hindgut Microbiota and Their Metabolites for Dairy Goats Fed Different Rumen Degradable Starch

Hypoxia: The “Invisible Pusher” of Gut Microbiota

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