Why do patients with ischemic heart disease modify their lifestyle? a qualitative study

BMC Research Notes, Journal Year: 2025, Volume and Issue: 18(1)

Published: April 17, 2025

Language: Английский

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Gut Microbiota and Cardiovascular Diseases: Unraveling the Role of Dysbiosis and Microbial Metabolites

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(9), P. 4264 - 4264

Published: April 30, 2025

Cardiovascular diseases (CVDs), including heart failure (HF), hypertension, myocardial infarction (MI), and atherosclerosis, are increasingly linked to gut microbiota dysbiosis its metabolic byproducts. HF, affecting over 64 million individuals globally, is associated with systemic inflammation barrier dysfunction, exacerbating disease progression. Similarly, hypertension MI correlate reduced microbial diversity an abundance of pro-inflammatory bacteria, contributing vascular increased cardiovascular risk. Atherosclerosis also influenced by dysbiosis, key metabolites such as trimethylamine-N-oxide (TMAO) short-chain fatty acids (SCFAs) playing crucial roles in pathogenesis. Emerging evidence highlights the therapeutic potential natural compounds, flavonoids, omega-3 acids, resveratrol, curcumin, marine-derived bioactives, which modulate confer cardioprotective effects. These insights underscore a critical regulator health, suggesting that targeting may offer novel preventive strategies. Further research needed elucidate underlying mechanisms optimize microbiome-based interventions for improved outcomes.

Language: Английский

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Predicting protein–protein interactions in microbes associated with cardiovascular diseases using deep denoising autoencoders and evolutionary information

Frontiers in Pharmacology, Journal Year: 2025, Volume and Issue: 16

Published: March 11, 2025

Introduction Protein–protein interactions (PPIs) are critical for understanding the molecular mechanisms underlying various biological processes, particularly in microbes associated with cardiovascular disease. Traditional experimental methods detecting PPIs often time-consuming and costly, leading to an urgent need reliable computational approaches. Methods In this study, we present a novel model, deep denoising autoencoder protein–protein interaction (DAEPPI), which leverages CatBoost algorithm predict from evolutionary information of protein sequences. Results Our extensive experiments demonstrate effectiveness DAEPPI achieving average prediction accuracies 97.85% 98.49% on yeast human datasets, respectively. Comparative analyses existing effective further validate robustness reliability our model predicting PPIs. Discussion Additionally, explore application context disease, showcasing its potential uncover significant that could contribute disease mechanisms. findings indicate is powerful tool advancing research proteomics play pivotal role identification therapeutic targets

Language: Английский

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Prevalence of Diabetes, Hypertension, and Associated of Cardiovascular Diseases: A Comparative Pre- and Post-Covid Study

Diseases, Journal Year: 2024, Volume and Issue: 12(12), P. 329 - 329

Published: Dec. 13, 2024

Background: Diabetes and hypertension are major global health challenges aggravated by COVID-19’s impact on healthcare lifestyle factors. This study aims to compare the prevalence associated socio-demographic factors of these conditions before after pandemic (2019 vs. 2022). Materials Methods: We used data from Italy’s “Aspects Daily Life” survey; 74,294 adults were included. Results: Results show a rise in diabetes 7.76% 2019 8.49% 2022 (p < 0.05), while did not this. Logistic regression analysis for years revealed statistically significant association between year increased odds (OR = 1.08, p 0.008). BMI’s role as risk factor intensified, with higher ratios (ORs) both overweight obese individuals 2022. For example, obesity-related ORs 2.45 (95%CI 1.73–3.47) 3.02 2.09–4.35) 2022, 2.86 2.28–3.58) 3.64 2.87–4.61). Lower education levels also showed greater 2022; subjects only middle or high school diplomas had significantly than education; there was non-significant trend 2019. However, lower remained stable years. Conclusions: These findings suggest that may have hypertension, particularly BMI educational level, compared literature burden chronic diseases during COVID-19.

Language: Английский

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Modeling the Impact of Extracellular Vesicle Cargoes in the Diagnosis of Coronary Artery Disease

Biomedicines, Journal Year: 2024, Volume and Issue: 12(12), P. 2682 - 2682

Published: Nov. 25, 2024

Objectives: We aimed to assess the relationship among circulating extracellular vesicles (EVs), hypoxia-related proteins, and conventional risk factors of life-threatening coronary artery disease (CAD) find more precise novel biomarkers. Methods: Patients were categorized based on CT angiography. with a Segment Involvement Score > 5 identified as CAD patients. Individuals < considered control subjects. The characterization EVs analysis plasma concentration growth differentiation factor-15 performed using multicolor or bead-based flow cytometry. protein levels glycogen phosphorylase, muscle form, clusterin, carboxypeptidase N subunit 1 determined an enzyme-linked immunosorbent assay. Multiple logistic regression was used determine association biomarkers outcome after accounting for established factors. built in three steps: first, we included basic clinical laboratory variables (Model 1), then integrated values 2), finally, complemented it EV pattern 3). To discrimination value models, area under (AUC) receiver operating curve calculated compared across models. Results: 0.68, 0.77, 0.84 Models 1, 2, 3, respectively. greatest impact AUC hemoglobin (0.2 (0.16-0.26)) Model (0.12 (0.09-0.14)) CD41+/CD61+ (0.31 (0.15-0.5)) 3. A correlation showed significant platelet-derived (p = 0.03, r -0.4176) Conclusions: Based our results, profile can be supportive biomarker, along markers CAD, enables sensitive, non-invasive diagnostic CAD.

Language: Английский

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New Advances in Cardiovascular Drugs: A Celebration of the 90th Birthday of Professor Akira Endo

Biomedicines, Journal Year: 2024, Volume and Issue: 12(12), P. 2716 - 2716

Published: Nov. 27, 2024

In this Special Issue, we celebrate a giant of cardiovascular pharmacology, Professor Akira Endo, on the occasion his 90th birthday [...]

Language: Английский

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