scholarly journals Duration of Persistent Atrial Fibrillation Is Associated with Alterations in Human Gut Microbiota and Metabolic Phenotypes

mSystems ◽  
2019 ◽  
Vol 4 (6) ◽  
Author(s):  
Kun Zuo ◽  
Jing Li ◽  
Pan Wang ◽  
Ye Liu ◽  
Zheng Liu ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Gut Microbiota ◽  
Early Stage ◽  
Persistent Atrial Fibrillation ◽  
Metabolic Profiles ◽  
Metagenomic Sequencing ◽  
Microbial Function ◽  
Distinct Structure ◽  
The Common ◽  
The Relationship

ABSTRACT Atrial fibrillation (AF) has been shown to be associated with disordered gut microbiota (GM). The underlying factors governing persistent AF (psAF) are not well understood, and the association between AF duration and GM profiles remains to be characterized. Thus, the present study aimed at investigating the dysbiosis of GM in patients with short and long psAF duration and illuminating the relationship between the GM and psAF maintenance. Based on metagenomic sequencing and metabolomic analyses, we assessed the metabolic and GM signature in 12 patients with psAF of <12 months (Pers<12m), eight patients with psAF of >12 months (Pers>12m), and 20 controls. We found that the GM in patients with both Pers<12m and Pers>12m was significantly perturbed, with an elevated microbial diversity, distinct structure, and discrepant composition. Although Pers<12m and Pers>12m patients shared a large number of common bacteria with controls, including 84 genera and 404 species, certain bacteria were differently enriched at different AF durations. Furthermore, disturbance in gut microbial function and GM-linked metabolic alterations were detected in both the Pers<12m and Pers>12m groups. The connection of GM and metabolites with psAF is consistent with interaction and potential modulation of host metabolic pathways due to GM dysbiosis with AF persistence. Our results showed that patients of the Pers<12m and Pers>12m groups shared many common disordered GM and metabolic features, which might occur in early disease, while prolonged psAF duration was related to certain unique alterations. Preventative strategies targeting GM and microbial metabolites for early intervention to treat AF patients are highly warranted. IMPORTANCE Atrial fibrillation was associated with a disordered gut microbiota in previous research. However, the gut microbiota signature of patients at different stages of atrial fibrillation remains largely unknown. We sought to determine whether the shift in the gut microbiota and metabolic profiles occurs early and remains stable or develops gradually during atrial fibrillation. We found that patients with persistent atrial fibrillation of <12 months and persistent atrial fibrillation of >12 months shared most of the common features of gut microbiota dysbiosis. However, some distinctive and progressive alterations in the gut microbiota and metabolic structure, which may contribute to the progression of atrial fibrillation, were identified. The present study provides a comprehensive description of the dysbiotic gut microbiota and metabolic profiles in patients of short and long persistent atrial fibrillation, and our findings may help identify therapeutic strategies targeting the gut microbiota to treat atrial fibrillation at an early stage.

The Relationship Between Electrogram Cycle Length and Dominant Frequency in Patients with Persistent Atrial Fibrillation

2009 ◽  
Vol 20 (12) ◽  
pp. 1336-1342 ◽  
Author(s):  
SHELDON M. SINGH ◽  
E. KEVIN HEIST ◽  
JACOB S. KORUTH ◽  
CONOR D. BARRETT ◽  
JEREMY N. RUSKIN ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Cycle Length ◽  
Persistent Atrial Fibrillation ◽  
Dominant Frequency ◽  
The Relationship

scholarly journals Gut microbiota and metabolites of α-synuclein transgenic monkey models with early stage of Parkinson’s disease

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Yaping Yan ◽  
Shuchao Ren ◽  
Yanchao Duan ◽  
Chenyu Lu ◽  
Yuyu Niu ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Gut Microbiota ◽  
Metabolic Pathways ◽  
Rhesus Monkeys ◽  
Early Stage ◽  
Glyceric Acid ◽  
Metagenomic Sequencing ◽  
Phosphorylation Reaction ◽  
Hydroxyphenylacetic Acid

AbstractParkinson’s disease (PD) is the second most prevalent neurodegenerative disease. However, it is unclear whether microbiota and metabolites have demonstrated changes at early PD due to the difficulties in diagnosis and identification of early PD in clinical practice. In a previous study, we generated A53T transgenic monkeys with early Parkinson’s symptoms, including anxiety and cognitive impairment. Here we analyzed the gut microbiota by metagenomic sequencing and metabolites by targeted gas chromatography. The gut microbiota analysis showed that the A53T monkeys have higher degree of diversity in gut microbiota with significantly elevated Sybergistetes, Akkermansia, and Eggerthella lenta compared with control monkeys. Prevotella significantly decreased in A53T transgenic monkeys. Glyceric acid, L-Aspartic acid, and p-Hydroxyphenylacetic acid were significantly elevated, whereas Myristic acid and 3-Methylindole were significantly decreased in A53T monkeys. Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) (KO0131) and the oxidative phosphorylation reaction (KO2147) were significantly increased in metabolic pathways of A53T monkeys. Our study suggested that the transgenic A53T and α-syn aggregation may affect the intestine microbiota and metabolites of rhesus monkeys, and the identified five compositional different metabolites that are mainly associated with mitochondrial dysfunction may be related to the pathogenesis of PD.

scholarly journals gutMGene: a comprehensive database for target genes of gut microbes and microbial metabolites

2021 ◽  
Author(s):  
Liang Cheng ◽  
Changlu Qi ◽  
Haixiu Yang ◽  
Minke Lu ◽  
Yiting Cai ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Target Genes ◽  
Metagenomic Sequencing ◽  
Microbial Metabolites ◽  
Gut Microbes ◽  
Intervention Measures ◽  
Mammalian Blood ◽  
Gut Microbe ◽  
User Friendly ◽  
The Relationship

Abstract gutMGene (http://bio-annotation.cn/gutmgene), a manually curated database, aims at providing a comprehensive resource of target genes of gut microbes and microbial metabolites in humans and mice. Metagenomic sequencing of fecal samples has identified 3.3 × 106 non-redundant microbial genes from up to 1500 different species. One of the contributions of gut microbiota to host biology is the circulating pool of bacterially derived small-molecule metabolites. It has been estimated that 10% of metabolites found in mammalian blood are derived from the gut microbiota, where they can produce systemic effects on the host through activating or inhibiting gene expression. The current version of gutMGene documents 1331 curated relationships between 332 gut microbes, 207 microbial metabolites and 223 genes in humans, and 2349 curated relationships between 209 gut microbes, 149 microbial metabolites and 544 genes in mice. Each entry in the gutMGene contains detailed information on a relationship between gut microbe, microbial metabolite and target gene, a brief description of the relationship, experiment technology and platform, literature reference and so on. gutMGene provides a user-friendly interface to browse and retrieve each entry using gut microbes, disorders and intervention measures. It also offers the option to download all the entries and submit new experimentally validated associations.

scholarly journals Gut microbiota and metabolites of α-synuclein transgenic monkey models with early stage of Parkinson'sdisease

2020 ◽  
Author(s):  
wei si ◽  
yaping yan ◽  
shuchao ren ◽  
yanchao duan ◽  
chenyu lu ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Abc Transporters ◽  
Metabolic Pathways ◽  
Early Stage ◽  
Antibiotic Use ◽  
Living Environment ◽  
Glyceric Acid ◽  
Metagenomic Sequencing ◽  
Physiological Processes ◽  
Hydroxyphenylacetic Acid

Abstract Background: Parkinson's disease（PD）is the second most prevalent neurodegenerative disease. Gut microbes are susceptible to various external factors (such as living environment, diet, antibiotic use), our research avoids these interferences very well. Gut microbiota affect the physiological processes of the host by regulating metabolites. However, it is unclear whether microbiota and metabolites have demonstrated changes at early stages of PD due to the difficulty to diagnose and identify early stage PD in clinical practice.Methods: In a previous study, we constructed A53T transgenic monkeys with early Parkinson's symptoms. Here we analyzed the gut microbiota by metagenomic sequencing and metabolites by untargeted chromatography, which represent the first effort to identify the association between intestinal microbiota, metabolites and early stage of PD.Results: Compared with control monkeys, the gut microbiota of A53T monkeys is more diverse. Sybergistetes and Eggerthella lenta were significantly elevated in A53T monkeys. In monkeys with early Parkinson's symptoms, Glyceric acid, L-Aspartic acid and p-Hydroxyphenylacetic acid were significantly elevated, but Myristic acid and 3-Methylindole was significantly decreased. ABC transporters are associated with two decreased metabolites. Metabolic pathways are associated with three elevated metabolites. We found KO0131 and KO2147 from metabolic pathways are related to Glycolysis.Conclusion: We identified differential gut microbiota coincides with the microbiota of the currently reported PD patients to some extent. We found these differential metabolites and KOs suggest that A53T monkeys may have Glycolysis problem, and Glycolysis problem may be associated with mitochondrial dysfunction. Our results may be a sign of early Parkinson's screening and diagnosis.

scholarly journals Role of gut microbiota in post-operative atrial fibrillation: a randomized trial of berberine

2022 ◽  
Author(s):  
Huishan Wang ◽  
Jian Zhang ◽  
yang wang ◽  
hui Jiang ◽  
Dengshun Tao ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Gut Microbiota ◽  
Controlled Trial ◽  
Artery Bypass ◽  
Double Blind ◽  
Reactive Protein ◽  
Post Operative Atrial Fibrillation ◽  
The Relationship ◽  
Gut Microbiota Composition

Abstract Post-operative atrial fibrillation (POAF) is one of the most common complications. However, the underlying factors governing POAF are not well understood. The aim of this study was to investigate the relationship between gut microbiota and POAF. Then, we conducted a randomized, double-blind, placebo-controlled trial with patients underwent isolated coronary artery bypass grafting (CABG) in China to measure gut microbiota altering and impact on the incidence of POAF by oral berberine. Compared with no-POAF patients, gut microbiota composition was significantly altered, including Veillonella increasing. The POAF incidence was reduced from 35–20% under the treatment of berberine. Oral berberine significantly decreased Veillonella abundances, and lipopolysaccharide (LPS), C-reactive protein (CRP) and Interleukin- 6 (IL-6) level. Elevated LPS after surgery is associated with POAF. Our results showed that POAF patients show significantly gut microbiota shift. Altering gut microbiota like oral berberine reduced the POAF.

scholarly journals Shifts in gut microbiome and metabolome are associated with risk of recurrent atrial fibrillation

2020 ◽  
Author(s):  
Kun Zuo ◽  
Jing Li ◽  
Jing Zhang ◽  
Pan Wang ◽  
Jie Jiao ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Scoring System ◽  
Model Performance ◽  
Metagenomic Sequencing ◽  
Microbial Composition ◽  
Metabolic Pattern ◽  
Microbial Function ◽  
Recurrent Atrial Fibrillation ◽  
Clinical Scoring ◽  
Af Recurrence

ABSTRACTSpecific alterations of gut microbiota (GM) in atrial fibrillation (AF) patients, including elevated microbial diversity, particularly perturbed composition, imbalanced microbial function, and associated metabolic pattern modifications have been described in our previous report. The current work aimed to assess the association of GM composition with AF recurrence (RAF) after ablation, and to construct a GM-based predictive model for RAF. Gut microbial composition and metabolic profiles were assessed based on metagenomic sequencing and metabolomic analyses. Compared with non-AF controls (50 individuals), GM composition and metabolomic profile were significantly altered between patients with recurrent AF (17 individuals) and the non-RAF group (23 individuals). Notably, discriminative taxa between the non-RAF and RAF groups, including the families Nitrosomonadaceae and Lentisphaeraceae, the genera Marinitoga and Rufibacter, and the species Faecalibacterium sp. CAG:82, Bacillus gobiensis, and Desulfobacterales bacterium PC51MH44, were selected to construct a taxonomic scoring system based on LASSO analysis. An elevated area under curve (0.954) and positive net reclassification index (1.5601) for predicting RAF compared with traditional clinical scoring (AUC=0.6918) were obtained. The GM-based taxonomic scoring system theoretically improves the model performance. These data provide novel evidence that supports incorporating the GM factor into future recurrent risk stratification.

scholarly journals Different Types of Atrial Fibrillation Share Patterns of Gut Microbiota Dysbiosis

mSphere ◽  
2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Kun Zuo ◽  
Xiandong Yin ◽  
Kuibao Li ◽  
Jing Zhang ◽  
Pan Wang ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Gut Microbiota ◽  
Intestinal Flora ◽  
Persistent Atrial Fibrillation ◽  
Fecal Microbiota ◽  
The Self ◽  
Atrial Remodeling ◽  
Different Types ◽  
Limited Degree ◽  
Gut Microbiota Dysbiosis

ABSTRACT Dysbiotic gut microbiota (GM) and disordered metabolic patterns are known to be involved in the clinical expression of atrial fibrillation (AF). However, little evidence has been reported in characterizing the specific changes in fecal microbiota in paroxysmal AF (PAF) and persistent AF (psAF). To provide a comprehensive understanding of GM dysbiosis in AF types, we assessed the GM signatures of 30 PAF patients, 20 psAF patients, and 50 non-AF controls based on metagenomic and metabolomic analyses. Compared with control subjects, similar changes of GM were identified in PAF and psAF patients, with elevated microbial diversity and similar alteration in the microbiota composition. PAF and psAF patients shared the majority of differential taxa compared with non-AF controls. Moreover, the similarity was also illuminated in microbial function and associated metabolic alterations. Additionally, minor disparity was observed in PAF compared with psAF. Several distinctive taxa between PAF and psAF were correlated with certain metabolites and atrial diameter, which might play a role in the pathogenesis of atrial remodeling. Our findings characterized the presence of many common features in GM shared by PAF and psAF, which occurred at the self-terminating PAF. Preventative and therapeutic measures targeting GM for early intervention to postpone the progression of AF are highly warranted. IMPORTANCE Atrial fibrillation has been identified to be associated with disordered gut microbiota. Notably, atrial fibrillation is a progressive disease and could be categorized as paroxysmal and persistent based on the duration of the episodes. The persistent atrial fibrillation patients are accompanied by higher risk of stroke and lower success rate of rhythm control. However, the microbial signatures of different categories of atrial fibrillation patients remain unknown. We sought to determine whether disordered gut microbiota occurs in the self-terminating PAF or intestinal flora develops dynamically during atrial fibrillation progression. We found that different types of atrial fibrillation show a limited degree of gut microbiota shift. Gut microbiota dysbiosis has already occurred in mild stages of atrial fibrillation, which might act as an early modulator of disease, and therefore may be regarded as a potential target to postpone atrial fibrillation progression.

scholarly journals Gut microbiome and serum metabolome alterations in isolated dystonia

2021 ◽  
Author(s):  
Yongfeng Hu ◽  
Ling yan Ma ◽  
Min Cheng ◽  
Bo Liu ◽  
Hua Pan ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Gut Microbiome ◽  
Metagenomic Sequencing ◽  
Metabolome Analysis ◽  
Citrate Cycle ◽  
Microbial Dysbiosis ◽  
Α Diversity ◽  
Drug Naïve ◽  
Neurological Movement Disorder ◽  
The Relationship

Abstract Background Dystonia is a complex neurological movement disorder characterised by involuntary muscle contractions. The relationship between the gut microbiota and isolated dystonia remains poorly explored. Methods We collected faeces and blood samples to study the microbiome and the serum metabolome from a cohort of 57 drug-naïve isolated dystonia patients and 27 age- and environment-matched healthy individuals. We first sequenced the V4 regions of the 16S rDNA gene from all faeces samples. Further, we performed metagenomic sequencing of gut microbiome and non-targeted metabolomics profiling of serum from dystonia patients with significant dysbiosis. Results Gut microbial β-diversity was significantly different, with a more heterogeneous community structure among dystonia individuals than healthy controls, while no difference in α-diversity was found. Gut microbiota in dystonia patients was enriched with Blautia obeum, Dorea longicatena and Eubacterium hallii, but depleted with Bacteroides vulgatus and Bacteroides plebeius. Metagenomic sequencing revealed that genes related to the citrate cycle, vitamin B6 and glycan metabolism were less abundant in dystonia, while genes linked to purine and tryptophan biosynthesis were more abundant. Serum metabolome analysis revealed altered levels of tyrosine and glutamate. The integrative analysis of the gut microbiome and serum metabolomics identified dystonia-associated gut microbial species linked to changes in serum metabolites, reflecting the effect of the gut microbiome on metabolic activity in isolated dystonia. Conclusion This study is the first to reveal gut microbial dysbiosis in dystonia patients. Our findings identified previously unknown links between intestinal microbiota alterations, circulating amino acids and dystonia, providing new insight into the pathogenesis of isolated dystonia.

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