scholarly journals Using Glucose and Its Associated Energy to Study the Risk Probability Percentage of Having a Stroke or Cardiovascular Diseases from 2018 through 2020 (GH-Method: Math-Physical Medicine)

2020 ◽  
Vol 4 (2) ◽  
Keyword(s):  
Cardiovascular Disease ◽  
Cardiovascular Diseases ◽  
Metabolic Disorders ◽  
Stroke Risk ◽  
Physical Medicine ◽  
Risk Probability

The author uses the GH-Method: math-physical medicine (MPM) approach to investigate his risk probability on metabolic disorders induced cardiovascular disease (CVD) or stroke (“Risk”). This article focuses on a specific period from 2018 through 2020 by using glucoses and their associated energies to compare the existing results utilizing his overall metabolism conditions.

scholarly journals Using Glucose and Its Associated Energy to Study the Risk Probability Percentage of Having a Stroke or Cardiovascular Diseases from 2018 through 2020 (GH-Method: Math-Physical Medicine)

2020 ◽  
Vol 4 (2) ◽  
Keyword(s):  
Cardiovascular Disease ◽  
Cardiovascular Diseases ◽  
Metabolic Disorders ◽  
Stroke Risk ◽  
Physical Medicine ◽  
Risk Probability

The author uses the GH-Method: math-physical medicine (MPM) approach to investigate his risk probability on metabolic disorders induced cardiovascular disease (CVD) or stroke (“Risk”). This article focuses on a specific period from 2018 through 2020 by using glucoses and their associated energies to compare the existing results utilizing his overall metabolism conditions.

scholarly journals Detailed Contribution Analysis of Various Medical Conditions on Risk Probability Percentage of Having Cardiovascular Disease or Stroke Using GH-Method: Math-Physical Medicine (No: 315)

2020 ◽  
pp. 1-4
Author(s):  
Gerald C Hsu ◽  
Keyword(s):  
Cardiovascular Disease ◽  
Medical Condition ◽  
Medical Conditions ◽  
Physical Medicine ◽  
Contribution Analysis ◽  
Risk Probability

The author uses his developed GH-Method: math-physical medicine approach to investigate a more detailed contribution analysis of three medical condition sub-categories on his risk probability percentages of having cardiovascular disease (CVD) or stroke for over a period of 10+ years

scholarly journals Associations Between Added Sugar Intake and Risk of Four Different Cardiovascular Diseases in a Swedish Population-Based Prospective Cohort Study

2020 ◽  
Vol 7 ◽  
Author(s):  
Suzanne Janzi ◽  
Stina Ramne ◽  
Esther González-Padilla ◽  
Linda Johnson ◽  
Emily Sonestedt
Keyword(s):  
Atrial Fibrillation ◽  
Cardiovascular Disease ◽  
Cardiovascular Diseases ◽  
Aortic Stenosis ◽  
Stroke Risk ◽  
Population Based ◽  
Swedish Population ◽  
Added Sugar ◽  
Sugar Intake ◽  
Coronary Events

Aims: Although diet is one of the main modifiable risk factors of cardiovascular disease, few studies have investigated the association between added sugar intake and cardiovascular disease risk. This study aims to investigate the associations between intake of total added sugar, different sugar-sweetened foods and beverages, and the risks of stroke, coronary events, atrial fibrillation and aortic stenosis.Methods: The study population consists of 25,877 individuals from the Malmö Diet and Cancer Study, a Swedish population-based prospective cohort. Dietary data were collected using a modified diet history method. National registers were used for outcome ascertainment.Results: During the mean follow-up of 19.5 years, there were 2,580 stroke cases, 2,840 coronary events, 4,241 atrial fibrillation cases, and 669 aortic stenosis cases. Added sugar intakes above 20 energy percentage were associated with increased risk of coronary events compared to the lowest intake category (HR: 1.39; 95% CI: 1.09–1.78), and increased stroke risk compared to intakes between 7.5 and 10 energy percentage (HR: 1.31; 95% CI: 1.03 and 1.66). Subjects in the lowest intake group for added sugar had the highest risk of atrial fibrillation and aortic stenosis. More than 8 servings/week of sugar-sweetened beverages were associated with increased stroke risk, while ≤2 servings/week of treats were associated with the highest risks of stroke, coronary events and atrial fibrillation.Conclusion: The results indicate that the associations between different added sugar sources and cardiovascular diseases vary. These findings emphasize the complexity of the studied associations and the importance of considering different added sugar sources when investigating health outcomes.

NT-PROBNP AND THE CUT-OFF VALUE IN CARDIOVASCULAR DISEASES

2011 ◽  
pp. 5-12
Author(s):  
Anh Tien Hoang ◽  
Van Minh Huynh ◽  
Khanh Hoang ◽  
Huu Dang Tran ◽  
Viet An Tran
Keyword(s):  
Heart Failure ◽  
Cardiovascular Disease ◽  
Pilot Study ◽  
Cardiovascular Diseases ◽  
Clinical Application ◽  
European Society ◽  
The Other ◽  
Cardiac Marker ◽  
Cardiac Biomarker ◽  
European Society Of Cardiology

NT-ProBNP is a high value cardiac biomarker and widely applies in many cardiovascular diseases. The evaluation of concentration of NT-ProBNP needs the concern about age, gender, obesity and especially we need each cut-off point for each cause of cardiovascular disease in evaluation and clinical application. Because NT-ProBNP is a new cardiac marker and has been researched in 5 recent years, the cut-off of NT-ProBNP is still being studied for the clinical application in cardiovascular diseases. Only the cut-off of NT-ProBNP in diagnosis heart failure was guided by European Society of Cardiology. The meaning of introduce cut-off value of value plays an role as pilot study for the other relate study and brings the NT-ProBNP closely approach to clinical application.

Nanodrugs as a new approach in therapy of cardiovascular diseases and cancer with tumor-associated angiogenesis

2020 ◽  
Vol 28 ◽  
Author(s):  
Justyna Hajtuch ◽  
Karolina Niska ◽  
Iwona Inkielewicz-Stepniak
Keyword(s):  
Cardiovascular Disease ◽  
Cardiovascular Diseases ◽  
Controlled Drug Release ◽  
Biological Properties ◽  
Comprehensive Information ◽  
Conventional Drug ◽  
Key Factor ◽  
Functionalized Materials

Background: Cancer along with cardiovascular diseases are globally defined as leading causes of death. Importantly, some risk factors are common to these diseases. The process of angiogenesis and platelets aggregation are observed in cancer development and progression. In recent years, studies have been conducted on nanodrugs in these diseases that have provided important information on the biological and physicochemical properties of nanoparticles. Their attractive features are that they are made of biocompatible, well-characterized and easily functionalized materials. Unlike conventional drug delivery, sustained and controlled drug release can be obtained by using nanomaterials. Methods: In this article, we review the latest research to provide comprehensive information on nanoparticle-based drugs for the treatment of cancer, cardiovascular disease associated with abnormal haemostasis, and the inhibition of tumorassociated angiogenesis. Results: The results of the analysis of data based on nanoparticles with drugs confirm their improved pharmaceutical and biological properties, which gives promising antiplatelet, anticoagulant and antiangiogenic effects. Moreover, the review included in vitro, in vivo research and presented nanodrugs with chemotherapeutics approved by Food and Drug Administration. Conclusion: By the optimization of nanoparticles size and surface properties, nanotechnology are able to deliver drugs with enhanced bioavailability in treatment of cardiovascular disease, cancer and inhibition of cancer-related angiogenesis. Thus, nanotechnology can improve the therapeutic efficacy of the drug, but there is a need for a better understanding of the nanodrugs interaction in the human body, because this is a key factor in the success of potential nanotherapeutics.

Systematic Investigation of Quercetin for Treating Cardiovascular Disease Based on Network Pharmacology

2019 ◽  
Vol 22 (6) ◽  
pp. 411-420 ◽  
Author(s):  
Xian-Jun Wu ◽  
Xin-Bin Zhou ◽  
Chen Chen ◽  
Wei Mao
Keyword(s):  
Cardiovascular Disease ◽  
Cardiovascular Diseases ◽  
Signaling Pathway ◽  
Kegg Pathway ◽  
Enrichment Analysis ◽  
Network Pharmacology ◽  
Pathway Enrichment Analysis ◽  
Therapeutic Effects ◽  
Pathway Enrichment ◽  
Compound Target

Aim and Objective: Cardiovascular disease is a serious threat to human health because of its high mortality and morbidity rates. At present, there is no effective treatment. In Southeast Asia, traditional Chinese medicine is widely used in the treatment of cardiovascular diseases. Quercetin is a flavonoid extract of Ginkgo biloba leaves. Basic experiments and clinical studies have shown that quercetin has a significant effect on the treatment of cardiovascular diseases. However, its precise mechanism is still unclear. Therefore, it is necessary to exploit the network pharmacological potential effects of quercetin on cardiovascular disease. Materials and Methods: In the present study, a novel network pharmacology strategy based on pharmacokinetic filtering, target fishing, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, compound-target-pathway network structured was performed to explore the anti- cardiovascular disease mechanism of quercetin. Results:: The outcomes showed that quercetin possesses favorable pharmacokinetic profiles, which have interactions with 47 cardiovascular disease-related targets and 12 KEGG signaling pathways to provide potential synergistic therapeutic effects. Following the construction of Compound-Target-Pathway (C-T-P) network, and the network topological feature calculation, we obtained top 10 core genes in this network which were AKT1, IL1B, TNF, IL6, JUN, CCL2, FOS, VEGFA, CXCL8, and ICAM1. KEGG pathway enrichment analysis. These indicated that quercetin produced the therapeutic effects against cardiovascular disease by systemically and holistically regulating many signaling pathways, including Fluid shear stress and atherosclerosis, AGE-RAGE signaling pathway in diabetic complications, TNF signaling pathway, MAPK signaling pathway, IL-17 signaling pathway and PI3K-Akt signaling pathway.

scholarly journals DNA methylation and gene expression integration in cardiovascular disease

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Guillermo Palou-Márquez ◽  
Isaac Subirana ◽  
Lara Nonell ◽  
Alba Fernández-Sanlés ◽  
Roberto Elosua
Keyword(s):  
Gene Expression ◽  
Cardiovascular Disease ◽  
Dna Methylation ◽  
Cardiovascular Diseases ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Risk Function ◽  
Predictive Biomarkers ◽  
Independent Study ◽  
Cell Type

Abstract Background The integration of different layers of omics information is an opportunity to tackle the complexity of cardiovascular diseases (CVD) and to identify new predictive biomarkers and potential therapeutic targets. Our aim was to integrate DNA methylation and gene expression data in an effort to identify biomarkers related to cardiovascular disease risk in a community-based population. We accessed data from the Framingham Offspring Study, a cohort study with data on DNA methylation (Infinium HumanMethylation450 BeadChip; Illumina) and gene expression (Human Exon 1.0 ST Array; Affymetrix). Using the MOFA2 R package, we integrated these data to identify biomarkers related to the risk of presenting a cardiovascular event. Results Four independent latent factors (9, 19, 21—only in women—and 27), driven by DNA methylation, were associated with cardiovascular disease independently of classical risk factors and cell-type counts. In a sensitivity analysis, we also identified factor 21 as associated with CVD in women. Factors 9, 21 and 27 were also associated with coronary heart disease risk. Moreover, in a replication effort in an independent study three of the genes included in factor 27 were also present in a factor identified to be associated with myocardial infarction (CDC42BPB, MAN2A2 and RPTOR). Factor 9 was related to age and cell-type proportions; factor 19 was related to age and B cells count; factor 21 pointed to human immunodeficiency virus infection-related pathways and inflammation; and factor 27 was related to lifestyle factors such as alcohol consumption, smoking and body mass index. Inclusion of factor 21 (only in women) improved the discriminative and reclassification capacity of the Framingham classical risk function and factor 27 improved its discrimination. Conclusions Unsupervised multi-omics data integration methods have the potential to provide insights into the pathogenesis of cardiovascular diseases. We identified four independent factors (one only in women) pointing to inflammation, endothelium homeostasis, visceral fat, cardiac remodeling and lifestyles as key players in the determination of cardiovascular risk. Moreover, two of these factors improved the predictive capacity of a classical risk function.

Sign in / Sign up

Export Citation Format

Share Document