Literature DB >> 29316855

The role of noninvasive cardiovascular testing, applied clinical nutrition and nutritional supplements in the prevention and treatment of coronary heart disease.

Mark Houston1.   

Abstract

Numerous clinical trials suggest that we have reached a limit in our ability to decrease the incidence of coronary heart disease (CHD) and cardiovascular disease (CVD) utilizing the traditional diagnostic evaluation, prevention and treatment strategies for the top five cardiovascular risk factors of hypertension, diabetes mellitus, dyslipidemia, obesity and smoking. About 80% of heart disease (heart attacks, angina, coronary heart disease and congestive heart failure) can be prevented by optimal nutrition, optimal exercise, optimal weight and body composition, mild alcohol intake and avoiding smoking. Statistics show that approximately 50% of patients continue to have CHD or myocardial infarction (MI) despite presently defined 'normal' levels of the five risk factors listed above. This is often referred to as the 'CHD gap'. Novel and more accurate definitions and evaluations of these top five risk factors are required, such as 24 h ambulatory blood pressure (ABM) results, advanced lipid profiles, redefined fasting and 2 h dysglycemia parameters, a focus on visceral obesity and body composition and the effects of adipokines on cardiovascular risk. There are numerous traumatic insults from the environment that damage the cardiovascular system but there are only three finite vascular endothelial responses, which are inflammation, oxidative stress and immune vascular dysfunction. In addition, the concept of translational cardiovascular medicine is mandatory in order to correlate the myriad of CHD risk factors to the presence or absence of functional or structural damage to the vascular system, preclinical and clinical CHD. This can be accomplished by utilizing advanced and updated CV risk scoring systems, new and redefined CV risk factors and biomarkers, micronutrient testing, cardiovascular genetics, nutrigenomics, metabolomics, genetic expression testing and noninvasive cardiovascular testing.

Entities:  

Keywords:  cardiovascular testing; coronary heart disease; nutrition; nutritional supplements

Mesh:

Year:  2018        PMID: 29316855      PMCID: PMC5933539          DOI: 10.1177/1753944717743920

Source DB:  PubMed          Journal:  Ther Adv Cardiovasc Dis        ISSN: 1753-9447


  139 in total

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Journal:  Am J Cardiol       Date:  2010-10-14       Impact factor: 2.778

2.  Digital assessment of endothelial function and ischemic heart disease in women.

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Journal:  J Am Coll Cardiol       Date:  2010-04-20       Impact factor: 24.094

3.  Artificial sweeteners produce the counterintuitive effect of inducing metabolic derangements.

Authors:  Susan E Swithers
Journal:  Trends Endocrinol Metab       Date:  2013-07-10       Impact factor: 12.015

4.  Limits of the possible: diagnostic image quality in coronary angiography with third-generation dual-source CT.

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Journal:  Clin Res Cardiol       Date:  2017-02-06       Impact factor: 5.460

5.  A targeted metabolic protocol with D-ribose for off-pump coronary artery bypass procedures: a retrospective analysis.

Authors:  David J Perkowski; Susan Wagner; Joseph R Schneider; J A St Cyr
Journal:  Ther Adv Cardiovasc Dis       Date:  2011-06-21

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Authors:  Naser Ahmadi; Sotirios Tsimikas; Fereshteh Hajsadeghi; Anila Saeed; Vahid Nabavi; Manzoor A Bevinal; Jigar Kadakia; Ferdinand Flores; Ramin Ebrahimi; Matthew J Budoff
Journal:  Am J Cardiol       Date:  2010-02-15       Impact factor: 2.778

7.  Subtraction magnetocardiogram for detecting coronary heart disease.

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Journal:  Ann Noninvasive Electrocardiol       Date:  2010-10       Impact factor: 1.468

8.  Hypertension prevalence and blood pressure levels in 6 European countries, Canada, and the United States.

Authors:  Katharina Wolf-Maier; Richard S Cooper; José R Banegas; Simona Giampaoli; Hans-Werner Hense; Michel Joffres; Mika Kastarinen; Neil Poulter; Paola Primatesta; Fernando Rodríguez-Artalejo; Birgitta Stegmayr; Michael Thamm; Jaakko Tuomilehto; Diego Vanuzzo; Fenicia Vescio
Journal:  JAMA       Date:  2003-05-14       Impact factor: 56.272

Review 9.  Diet, lipids, and cardiovascular disease.

Authors:  Patty W Siri-Tarino; Ronald M Krauss
Journal:  Curr Opin Lipidol       Date:  2016-08       Impact factor: 4.776

10.  Acute and chronic saturated fatty acid treatment as a key instigator of the TLR-mediated inflammatory response in human adipose tissue, in vitro.

Authors:  Elham M Youssef-Elabd; Kirsty C McGee; Gyanendra Tripathi; Nasser Aldaghri; Mohga S Abdalla; Hayat M Sharada; Esmat Ashour; Ashraf I Amin; Antonio Ceriello; Joseph P O'Hare; Sudhesh Kumar; Philip G McTernan; Alison L Harte
Journal:  J Nutr Biochem       Date:  2011-03-16       Impact factor: 6.048

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  16 in total

1.  The relation of circulating cell division cycle 42 expression with Th1, Th2, and Th17 cells, adhesion molecules, and biochemical indexes in coronary heart disease patients.

Authors:  Mi Zhou; Jian Wu; Gang Tan
Journal:  Ir J Med Sci       Date:  2021-11-22       Impact factor: 2.089

2.  Development and Validation of a Prognostic Model to Predict High-Risk Patients for Coronary Heart Disease in Snorers With Uncontrolled Hypertension.

Authors:  Meng-Hui Wang; Mulalibieke Heizhati; Nan-Fang Li; Xiao-Guang Yao; Qin Luo; Meng-Yue Lin; Jing Hong; Yue Ma; Run Wang; Le Sun; Ying-Li Ren; Na Yue
Journal:  Front Cardiovasc Med       Date:  2022-04-21

3.  Study of cardiovascular disease prediction model based on random forest in eastern China.

Authors:  Li Yang; Haibin Wu; Xiaoqing Jin; Pinpin Zheng; Shiyun Hu; Xiaoling Xu; Wei Yu; Jing Yan
Journal:  Sci Rep       Date:  2020-03-23       Impact factor: 4.379

4.  Weighted gene co-expression network analysis identifies specific modules and hub genes related to coronary artery disease.

Authors:  Peng-Fei Zheng; Lu-Zhu Chen; Yao-Zong Guan; Peng Liu
Journal:  Sci Rep       Date:  2021-03-23       Impact factor: 4.379

5.  Weighted gene co-expression network analysis to identify key modules and hub genes related to hyperlipidaemia.

Authors:  Fu-Jun Liao; Peng-Fei Zheng; Hong-Wei Pan; Wei Li; Yao-Zong Guan
Journal:  Nutr Metab (Lond)       Date:  2021-03-04       Impact factor: 4.169

6.  Machine learning-based long-term outcome prediction in patients undergoing percutaneous coronary intervention.

Authors:  Shangyu Liu; Shengwen Yang; Anlu Xing; Lihui Zheng; Lishui Shen; Bin Tu; Yan Yao
Journal:  Cardiovasc Diagn Ther       Date:  2021-06

7.  Hypertriglyceridemia and Other Plasma Lipid Profile Abnormalities among People Living with Diabetes Mellitus in Ethiopia: A Systematic Review and Meta-Analysis.

Authors:  Baye Dagnew; Yigizie Yeshaw; Demeke Geremew; Dessie Abebaw Angaw; Henok Dagne; Mekuriaw Alemayehu; Meseret Derbew Molla; Yonas Akalu
Journal:  Biomed Res Int       Date:  2021-05-10       Impact factor: 3.411

8.  Anti-inflammatory effect of up-regulated microRNA-221-3p on coronary heart disease via suppressing NLRP3/ASC/pro-caspase-1 inflammasome pathway activation.

Authors:  Jingfeng Rong; Jijie Xu; Qian Liu; Jianjun Xu; Ting Mou; Xuhua Zhang; Hao Chi; Hua Zhou
Journal:  Cell Cycle       Date:  2020-05-06       Impact factor: 5.173

9.  SYNE1-QK1 SNPs, G × G and G × E interactions on the risk of hyperlipidaemia.

Authors:  Peng-Fei Zheng; Rui-Xing Yin; Chun-Xiao Liu; Guo-Xiong Deng; Yao-Zong Guan; Bi-Liu Wei
Journal:  J Cell Mol Med       Date:  2020-04-13       Impact factor: 5.310

Review 10.  A Novel Promising Frontier for Human Health: The Beneficial Effects of Nutraceuticals in Cardiovascular Diseases.

Authors:  Albino Carrizzo; Carmine Izzo; Maurizio Forte; Eduardo Sommella; Paola Di Pietro; Eleonora Venturini; Michele Ciccarelli; Gennaro Galasso; Speranza Rubattu; Petro Campiglia; Sebastiano Sciarretta; Giacomo Frati; Carmine Vecchione
Journal:  Int J Mol Sci       Date:  2020-11-18       Impact factor: 5.923

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