scholarly journals The Effects of Moderate Alcohol Consumption on Circulating Metabolites and Gut Microbiota in Patients With Coronary Artery Disease

2021 ◽  
Vol 8 ◽  
Author(s):  
Xinyue Zhao ◽  
Ruilin Zhou ◽  
Hanyu Li ◽  
Yue Fan ◽  
Yueshen Sun ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Alcohol Consumption ◽  
Gut Microbiota ◽  
Gut Microbiome ◽  
Cardiovascular Health ◽  
Moderate Alcohol Consumption ◽  
Healthy Controls ◽  
Serum Metabolites ◽  
Heavy Drinkers ◽  
Artery Disease

Background: Epidemiological studies confirmed that moderate alcohol consumption was associated with a reduced risk of adverse cardiovascular events. It is increasingly recognized that the composition of gut microbiota and metabolites is involved in modulating the cardiovascular health of the host. However, the association of moderate alcohol consumption with serum metabolites and gut microbiome and its impact on coronary artery disease (CAD) is not fully investigated.Method: Serum untargeted metabolomics analysis and fecal 16S rRNA sequencing were performed on 72 male patients with CAD having various alcohol consumption (36 non-drinkers, 18 moderate drinkers, and 18 heavy drinkers) and 17 matched healthy controls. MetaboAnalyst and PICRUSt2 were utilized to analyze the possible involved metabolic pathways. Multi-omics analysis was achieved by Spearman correlation to reveal the interactions of alcohol consumption with gut microbiome and serum metabolites in patients with CAD.Results: We noted distinct differences between patients with CAD, with varying levels of alcohol consumption and healthy controls in aspects of serum metabolome and the gut microbiome. Moderate alcohol consumption significantly changed the lipidomic profiles, including reductions of sphingolipids and glycerophospholipids in moderate drinkers with CAD when compared with non and heavy drinkers with CAD. Moreover, we also found the reduction of microbial-derived metabolites in moderate drinkers with CAD, such as 2-phenylacetamide and mevalonic acid. To be noted, the gut microbiota of moderate drinkers with CAD tended to resemble that of healthy controls. Compared with non-drinkers, the relative abundance of genus Paraprevotella, Lysinibacillus was significantly elevated in moderate drinkers with CAD, while the genus Bifidobacterium, Megasphaera, and Streptococcus were significantly reduced in moderate drinkers with CAD. Multi-omics analysis revealed that specific metabolites and microbes associated with moderate alcohol consumption were correlated with the severity of CAD.Conclusions: Our study revealed that the impact of moderate alcohol consumption on serum metabolites and gut microbiota in patients with CAD seemed to be separated from that of heavy and non-alcohol consumption. Moderate drinking tended to have more positive effects on metabolic profiles and commensal flora, which may explain its beneficial effects on cardiovascular health. Overall, our study provides a novel insight into the effects of moderate alcohol consumption in patients with CAD.

scholarly journals Alterations of Gut Microbiome and Serum Metabolome in Coronary Artery Disease Patients Complicated With Non-alcoholic Fatty Liver Disease Are Associated With Adverse Cardiovascular Outcomes

2022 ◽  
Vol 8 ◽  
Author(s):  
Xiaomin Hu ◽  
Ruilin Zhou ◽  
Hanyu Li ◽  
Xinyue Zhao ◽  
Yueshen Sun ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Liver Disease ◽  
Coronary Artery ◽  
Gut Microbiota ◽  
Clinical Outcomes ◽  
Gut Microbiome ◽  
Fatty Liver Disease ◽  
Cardiovascular Events ◽  
Cardiovascular Outcomes ◽  
Artery Disease

Rationale: Patients suffering from coronary artery disease (CAD) complicated with nonalcoholic fatty liver disease (NAFLD) present worse cardiovascular outcomes than CAD patients without NAFLD. The progression of CAD is recently reported to be associated with gut microbiota and microbe-derived metabolites. However, it remains unclear how the complication of NAFLD will affect gut microbiota and microbe-derived metabolites in CAD patients, and whether or not this interplay is related to the worse cardiovascular outcomes in CAD-NAFLD patients.Methods: We performed 16S rRNA sequencing and serum metabolomic analysis in 27 CAD patients with NAFLD, 81 CAD patients without NAFLD, and 24 matched healthy volunteers. Predicted functional profiling was achieved using PICRUSt2. The occurrence of cardiovascular events was assessed by a follow-up study. The association of alterations in the gut microbiome and metabolome with adverse cardiovascular events and clinical indicators was revealed by Spearman correlation analysis.Results: We discovered that the complication of NAFLD was associated with worse clinical outcomes in CAD patients and critical serum metabolome shifts. We identified 25 metabolite modules that were correlated with poor clinical outcome in CAD-NAFLD patients compared with non-NAFLD patients, represented by increased cardiac-toxic metabolites including prochloraz, brofaromine, aristolochic acid, triethanolamine, and reduced potentially beneficial metabolites including estradiol, chitotriose, palmitelaidic acid, and moxisylyte. In addition, the gut microbiome of individuals with CAD-NAFLD was changed and characterized by increased abundances of Oscillibacter ruminantium and Dialister invisus, and decreased abundances of Fusicatenibacter saccharivorans, Bacteroides ovatus and Prevotella copri. PICRUSt2 further confirmed an increase of potential pathogenic bacteria in CAD-NAFLD. Moreover, we found that variations of gut microbiota were critically correlated with changed circulating metabolites and clinical outcomes, which revealed that aberrant gut microbiota in CAD-NAFLD patients may sculpt a detrimental metabolome which results in adverse cardiovascular outcomes.Conclusions: Our findings suggest that CAD patients complicated with NAFLD result in worse clinical outcomes possibly by modulating the features of the gut microbiota and circulating metabolites. We introduce “liver-gut microbiota-heart axis” as a possible mechanism underlying this interrelationship. Our study provides new insights on the contribution of gut microbiota heterogeneity to CAD-NAFLD progression and suggests novel strategies for disease therapy.

scholarly journals Impacts of Cigarette Smoking Status on Metabolomic and Gut Microbiota Profile in Male Patients With Coronary Artery Disease: A Multi-Omics Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Xiaomin Hu ◽  
Yue Fan ◽  
Hanyu Li ◽  
Ruilin Zhou ◽  
Xinyue Zhao ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Cigarette Smoking ◽  
Gut Microbiota ◽  
Smoking Status ◽  
Rrna Gene ◽  
Microbial Composition ◽  
Serum Metabolites ◽  
Artery Disease ◽  
Never Smokers

Background: Cigarette smoking has been considered a modifiable risk factor for coronary artery disease (CAD). Changes in gut microbiota and microbe-derived metabolites have been shown to influence atherosclerotic pathogenesis. However, the effect of cigarette smoking on the gut microbiome and serum metabolites in CAD remains unclear.Method: We profiled the gut microbiota and serum metabolites of 113 male participants with diagnosed CAD including 46 current smokers, 34 former smokers, and 33 never smokers by 16S ribosomal RNA (rRNA) gene sequencing and untargeted metabolomics study. A follow-up study was conducted. PICRUSt2 was used for metagenomic functional prediction of important bacterial taxa.Results: In the analysis of the microbial composition, the current smokers were characterized with depleted Bifidobacterium catenulatum, Akkermansia muciniphila, and enriched Enterococcus faecium, Haemophilus parainfluenzae compared with the former and never smokers. In the untargeted serum metabolomic study, we observed and annotated 304 discriminant metabolites, uniquely including ceramides, acyl carnitines, and glycerophospholipids. Pathway analysis revealed a significantly changed sphingolipids metabolism related to cigarette smoking. However, the change of the majority of the discriminant metabolites is possibly reversible after smoking cessation. While performing PICRUSt2 metagenomic prediction, several key enzymes (wbpA, nadM) were identified to possibly explain the cross talk between gut microbiota and metabolomic changes associated with smoking. Moreover, the multi-omics analysis revealed that specific changes in bacterial taxa were associated with disease severity or outcomes by mediating metabolites such as glycerophospholipids.Conclusions: Our results indicated that both the gut microbiota composition and metabolomic profile of current smokers are different from that of never smokers. The present study may provide new insights into understanding the heterogenic influences of cigarette smoking on atherosclerotic pathogenesis by modulating gut microbiota as well as circulating metabolites.

scholarly journals The gut microbiota is associated with clinical response to statin treatment in patients with coronary artery disease

2021 ◽  
Vol 325 ◽  
pp. 16-23
Author(s):  
Lijun Wang ◽  
Weiwei Zhou ◽  
Manyun Guo ◽  
Yiming Hua ◽  
Baihua Zhou ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Gut Microbiota ◽  
Clinical Response ◽  
Statin Treatment ◽  
Artery Disease

Abstract P322: Health Status of Stable Patients With Obstructive or Non-Obstructive Coronary Artery Disease Compared With Healthy Controls

2011 ◽  
Vol 4 (suppl_1) ◽  
Author(s):  
Rosanna Tavella ◽  
Natalie Cutri ◽  
John F Beltrame
Keyword(s):  
Quality Of Life ◽  
Coronary Artery Disease ◽  
Chest Pain ◽  
Coronary Artery ◽  
Obstructive Coronary Artery Disease ◽  
Summary Score ◽  
Healthy Controls ◽  
Sf 36 ◽  
Artery Disease

BACKGROUND. Patients with chest pain and no evidence of obstructive coronary artery disease on angiography (NoCAD) are frequently considered not to have significant pathology and their symptoms trivialized. This study compared the health status of patients with NoCAD, obstructive coronary artery disease (CAD) and healthy subjects. METHOD. Patients undergoing angiography within the preceding 12 months for the investigation of chest pain were categorized as NoCAD or CAD on the basis of the angiographic findings and completed a health-related quality of life instrument, the Short Form-36 (SF-36). These were compared with a ‘healthy control’ group that were randomly selected from the electronic white pages and recruited if they had no self-reported history of cardiovascular disease. Cross sectional comparisons between the three groups were age adjusted and performed using liner regression. RESULTS. As shown in the table below, the healthy controls were significantly younger and therefore comparison of SF36 scores were age adjusted. All SF-36 sub-scales (except for bodily pain) and summary scores (see table ), were significantly lower in the CAD and NoCAD groups compared to the healthy controls. There were no differences in SF-36 scores between NoCAD and CAD. CONCLUSION. Compared with a healthy population, patients with stable CAD and NoCAD have significantly poorer quality of life asF-36. Future management strategies need to address the health outcomes in these patients. Healthy Controls (n = 3168) NoCAD (n = 320) CAD (n = 828) Age 52 ± 15 57 ± 12 * 62 ± 11 # SF-36: Physical Summary Score 49 ± 10 41 ± 11 * 41 ± 11 # SF-36: Mental Summary Score 51 ± 10 46 ± 11 * 46 ± 11 # * p <0.01 for healthy controls vs NoCAD, # p <0.01 for healthy controls vs CAD

scholarly journals Impact of premature ovarian insufficiency on cardiovascular health

2018 ◽  
Vol 7 (9) ◽  
pp. 3837
Author(s):  
Kavitha Abraham ◽  
Vaibhav Londhe ◽  
Tunny Sebastian ◽  
Thomas Paul ◽  
Aruna Kekre
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Cardiovascular Health ◽  
Menopausal Symptoms ◽  
Premature Ovarian Insufficiency ◽  
P Value ◽  
Ovarian Insufficiency ◽  
Hs Crp ◽  
Artery Disease ◽  
The Impact

Background: The objectives of the study were to identify the causes of premature ovarian insufficiency (POI) and to assess the severity of menopausal symptoms as well as the impact on cardiovascular health in these patients.Methods: Authors did a cross sectional case control study with 100 cases and 100 age matched controls. Women <40years of age with amenorrhoea >4months and FSH >25mIU/ml were identified with POI. Women <40years with normal cycles were the controls. Causes were identified from medical records and menopausal symptoms were categorized using menopause rating score questionnaire. Hypercholesterolemia (≥200mg/dl), hypoalbuminemia (<3.5g/dl) and high sensitive C reactive protein (HS-CRP ≥3mg/dl) were assessed as the early markers of coronary artery disease. Statistical methods included Chi square test and logistic regression analysis. P value <0.05 was considered significant.Results: 64% of the patients were between 31-40 years. 66% of them were into menopause for <5 years. The cause was idiopathic in 62%. 91% had no or minimal menopausal symptoms. Hypoalbuminemia (6 versus 1, 95% CI 1.8-2.4, OR 2.1, p=0.01) and hypercholesterolemia (75 versus 51, 95%CI 2.5-3.1, OR 2.8, p= 0.001) were significantly high in cases. HS-CRP was not found to be different between the groups (59 versus 49, OR 1.5, 95%CI 0.8-2.6, p=0.2).Conclusions: In majority with POI the cause is idiopathic and menopausal symptoms are minimal. Hypoalbuminemia and hypercholesterolemia, markers of coronary artery disease, were significantly elevated in POI. Early screening for these variables within 5 years of menopause would reduce the cardiovascular mortality in these patients.

Potential Impact of MicroRNA-423 Gene Variability in Coronary Artery Disease

2019 ◽  
Vol 19 (1) ◽  
pp. 67-74 ◽  
Author(s):  
Chandan K. Jha ◽  
Rashid Mir ◽  
Imadeldin Elfaki ◽  
Naina Khullar ◽  
Suriya Rehman ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Recessive Model ◽  
Amplification Refractory Mutation System ◽  
Genotype Distribution ◽  
Healthy Controls ◽  
Increased Risk ◽  
Significant Difference ◽  
Artery Disease ◽  
Gene Variability

Aim: Studies have evaluated the association of miRNA-423 C>A genotyping with the susceptibility to various diseases such cancers, atherosclerosis and inflammatory bowel disease but the results were contradictory. However, no studies have reported the association between miRNA-423 rs6505162 C>A polymorphism and susceptibility of coronary artery disease. MicroRNAs regulate expression of multiple genes involved in atherogenesis. Therefore, we investigated the association of microRNA-423C>T gene variations with susceptibility to coronary artery disease. Methodology: This study was conducted on 100 coronary artery disease patients and 117 matched healthy controls. The genotyping of the microRNA-423 rs6505162C>A was performed by using Amplification refractory mutation system PCR method (ARMS-PCR). Results: A significant difference was observed in the genotype distribution among the coronary artery disease cases and sex-matched healthy controls (P=0.048). The frequencies of all three genotypes CC, CA, AA reported in the patient’s samples were 55%, 41% and 4% and in the healthy controls samples were 55%, 41% and 4% respectively. Our findings showed that the microRNA-423 C>A variant was associated with an increased risk of coronary artery disease in codominant model (OR = 1.96, 95 % CI, 1.12-3.42; RR 1.35(1.05-1.75, p=0.017) of microRNA-423CA genotype and significant association in dominant model (OR 1.97, 95% CI (1.14-3.39), (CA+AA vs CC) and non-significant association for recessive model (OR=1.42, 95%CI=0.42-4.83, P=0.56, AA vs CC+CA).While, the A allele significantly increased the risk of coronary artery disease (OR =1.56, 95 % CI, 1.03-2.37; p=0.035) compared to C allele. Therefore, it was observed that more than 1.96, 1.97 and 1.56 fold increased risk of developing coronary artery disease. Conclusion: Our findings indicated that microRNA-423 CA genotype and A allele are associated with an increased susceptibility to Coronary artery disease.

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