Do genetic variations alter the effects of exercise training on cardiovascular disease and can we identify the candidate variants now or in the future?

2011 ◽  
Vol 111 (3) ◽  
pp. 916-928 ◽  
Author(s):  
James M. Hagberg

Cardiovascular disease (CVD) and CVD risk factors are highly heritable, and numerous lines of evidence indicate they have a strong genetic basis. While there is nothing known about the interactive effects of genetics and exercise training on CVD itself, there is at least some literature addressing their interactive effect on CVD risk factors. There is some evidence indicating that CVD risk factor responses to exercise training are also heritable and, thus, may have a genetic basis. While roughly 100 studies have reported significant effects of genetic variants on CVD risk factor responses to exercise training, no definitive conclusions can be generated at the present time, because of the lack of consistent and replicated results and the small sample sizes evident in most studies. There is some evidence supporting “possible” candidate genes that may affect these responses to exercise training: APO E and CETP for plasma lipoprotein-lipid profiles; eNOS, ACE, EDN1, and GNB3 for blood pressure; PPARG for type 2 diabetes phenotypes; and FTO and BAR genes for obesity-related phenotypes. However, while genotyping technologies and statistical methods are advancing rapidly, the primary limitation in this field is the need to generate what in terms of exercise intervention studies would be almost incomprehensible sample sizes. Most recent diabetes, obesity, and blood pressure genetic studies have utilized populations of 10,000–250,000 subjects, which result in the necessary statistical power to detect the magnitude of effects that would probably be expected for the impact of an individual gene on CVD risk factor responses to exercise training. Thus at this time it is difficult to see how this field will advance in the future to the point where robust, consistent, and replicated data are available to address these issues. However, the results of recent large-scale genomewide association studies for baseline CVD risk factors may drive future hypothesis-driven exercise training intervention studies in smaller populations addressing the impact of specific genetic variants on well-defined physiological phenotypes.

Author(s):  
Vijay Chander Vinod ◽  
Vijay Chander Vinod ◽  
Zuhair Eltayeb Yousif

Objective: To define the impact of the cardiovascular risk factors on the extent of Coronary Artery Disease in STEMI patients and to identify the common prevalent risk factors that are unrecognized or poorly treated resulting in STEMI among the UAE population. Methods: Retrospective cohort on patients presented to Mediclinic City Hospital from 2011-2016 who underwent Primary Percutaneous Coronary Intervention (PCI) for confirmed ST-Elevation Myocardial Infarction (STEMI). Results: Of the total 104 STEMI patients, 91% were males. Mean (+SD) of 53 (+12.5) years of age. 73% were less than 60 years old. The most prevalent risk factor was hypertension (42%). 38% of diabetics had an HbA1C of >7%. 14% of the dyslipidemic had above target lipid levels in spite of Statin. 100% of the study population had at least 1 risk factor, ≥2 risk factors (97%), ≥3 risk factors (82%). 50% had 1 or more incidental risk factors diagnosed after admission. Dyslipidemia (36%) was the commonest incidental risk factor. The total risk factor counts increased significantly when the incidental or poorly treated risk factors were added to the initial risk factors on admission. Anterior Wall STEMI (38%) was the commonest. Left Anterior Descending Coronary Artery (48%) was the commonest culprit vessel. The majority had Triple Vessel Disease (37%). 37% developed in-hospital complications. Multivessel disease patients had more risk factors than in single-vessel disease but the association between the number of risk factors and disease severity was not statistically significant. The odds of multivessel disease increased with cumulative risk factor categories, but there was no significant trend association. Conclusion: Our study attempted to determine the impact of CVD risk factors on the severity of CAD among STEMI patients who underwent primary PCI. Contrary to other studies, there was no statistical difference noted in the prevalence of CVD risk factors between the single-vessel and multivessel disease. The study did prove that the incidental or under-diagnosed or inadequately treated risk factors had an impact on the severity of CAD. The study stress that every single CVD risk factor should be treated with equal importance. Statistically significant associations need to be confirmed in future studies with a larger number of patients.


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
P Jousilahti ◽  
T Laatikainen ◽  
T Harkanen ◽  
K Borodulin ◽  
K Harald ◽  
...  

Abstract Background Systematic monitoring of cardiovascular disease (CVD) risk factors started in eastern Finland already in the 1970s as part of the North Karelia Project. Later on risk factor monitoring was extended to other parts of the country. Purpose In this study we report the trends of main CVD risk factors in Finland from 1992 to 2017. Methods Study population consists of a population-based random sample of 31 402 men and women aged 25–64 years who participated in the FINRISK Studies from 1992 to 2012, and in the FinHealth Study in 2017. Data collection was done every five years. Participation rate decreased from 76% in 1992 to 56% in 2017. Study protocol included self-reported questionnaire data on smoking and other health behavior, measurements of height, weight and blood pressure, and venous blood sample for laboratory analysis. Blood pressure was measured two times, and the average of the measurements was calculated, total serum cholesterol was analyzed using enzymatic method, and LDL cholesterol was calculated using Friedewald formula. Results Smoking prevalence, mean blood pressure and total and LDL cholesterol levels declined markedly during the 25 year follow up but BMI, waist circumference and prevalence of obesity increased (table). CVD risk factor change from 1992 to 2017 Risk factor Men 1992 Men 2017 p value Women 1992 Women 2017 p value Smoking (%) 36.7 20.6 <0.001 25.9 16.5 <0.001 SBP (mmHg) 136.6 131.2 <0.001 130.3 124.5 <0.001 DBP (mmHg) 82.7 81.6 <0.001 78.6 77.8 <0.001 Chol (mmol/L) 5.66 5.17 <0.001 5.42 5.18 <0.001 LDL chol (mmol/L) 3.54 3.16 <0.001 3.26 3.03 <0.001 BMI (kg/m2) 26.2 27.2 <0.001 25.1 26.4 <0.001 WC (cm) 92.8 96.1 <0.001 79.2 86.2 <0.001 Obesity (%) 15.7 23.2 <0.001 14.8 22.7 <0.001 Conclusions The levels of main traditional CVD risk factors have markedly decreased among the Finnish population during the last 25 years but in the same time, obesity has become a major public health challenge.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Susanne Rospleszcz ◽  
Barbara Thorand ◽  
Tonia de las Heras Gala ◽  
Christa Meisinger ◽  
Rolf Holle ◽  
...  

Background: Cardiovascular disease (CVD) is a major cause of mortality and morbidity. Traditional risk factors include systolic blood pressure, diabetes, adiposity, cholesterol and smoking. The prevalence and distribution of these risk factors in the population have changed within the last decades and CVD mortality rates have been declining. However, the impact of these changes on the contribution of the single risk factors to overall CVD risk remains to be investigated. Hypothesis: We assessed the hypothesis that the population attributable risk (PAR) of traditional risk factors changes from 1985 to 2000. Methods: The sample comprises N = 11 760 participants aged 30 - 65 years from four prospective population-based cohort studies enrolled in Southern Germany in 1985, 1990, 1995, and 2000. Participants were followed up for incident CVD events for ten years. We analyzed the traditional risk factors hypertension, defined as systolic blood pressure ≥ 140 mmHg or treatment with antihypertensive medication; diabetes mellitus; obesity, defined as a Body Mass Index ≥ 30 kg/m 2 ; hypercholesterolemia, defined as total cholesterol levels ≥ 200 mg/dL; and smoking. We calculated the PAR first according to Levin’s formula using both crude relative risks as well as adjusted hazard ratios and second as an average of all single sequential PARs according to the formulae by Ferguson. Results: Temporal trends in prevalence varied for the respective risk factors. The prevalence of hypertension decreased slightly for women (from 25.0% in 1985 to 23.0% in 2000) and increased slightly for men (32.3% to 33.3%), whereas the prevalence of diabetes and obesity increased for both women and men. Prevalence of hypercholesterolemia decreased slightly for women (from 73.4% to 71.4%) and more pronounced for men (80.5% to 74.5%). Prevalence of smoking increased for women (20% to 23.6%), but decreased for men (36.4% to 32.4%). CVD events occurred in 2.4% of women in 1985 and 2.3% in 2000; for men, event rates were and 6.2% and 6.3%, respectively. For both women and men the risk factor with the highest PAR in 1985 was hypertension (64.0% and 43.3%, respectively according to Levin’s formula). However, in 2000 the risk factor with the highest PAR was hypercholesterolemia (78.2% and 57.0%, respectively). The PAR for diabetes declined for women and increased for men. The PAR for smoking varied substantially between the studies without a discernible trend. According to Ferguson’s formulae, the PAR of all risk factors taken together increased from 74.3% to 84.2% in women and from 70.8% to 81.8% in men. Conclusion: In conclusion, the CVD risk attributable to traditional risk factors has increased within the last decades. However, different methods of calculating the PAR have to be taken into account. These trends might influence public health policies focusing on the management of these risk factors in order to effectively prevent CVD.


Author(s):  
Shaun Scholes ◽  
Linda Ng Fat ◽  
Jennifer S Mindell

Objective. Favourable trends in cardiovascular disease (CVD) risk factors at the population level potentially mask differences within high- and low-risk groups. Data from annual, repeated cross-sectional surveys (Health Survey for England 2003-18) was used to examine trends in the prevalence of key CVD risk factors by body mass index (BMI) category among adults aged 16 years or older (n=115,860). Methods. Six risk factors were investigated: (i) current cigarette smoking; (ii) physical inactivity (<30 minutes of moderate-to-vigorous physical activity per week); (iii) drinking above recommended daily alcohol limits; (iv) hypertension (measured blood pressure ≥140/90mmHg or use of medicine prescribed for high blood pressure); (v) total diabetes (reported diagnosed or elevated glycated haemoglobin); and (vi) raised total cholesterol (≥5mmol/L). Age-standardised risk factor prevalence was computed in each four-year time period (2003-06; 2007-10; 2011-14; 2015-18) in all adults and by BMI category (normal-weight; overweight; obesity). Change in risk factor prevalence on the absolute scale was computed as the difference between the first and last time-periods, expressed in percentage points (PP). Results. Risk factor change varied by BMI category in a number of cases. Current smoking prevalence fell more sharply for normal-weight men (-8.1 PP; 95% CI: -10.3, -5.8) versus men with obesity (-3.8 PP; 95% CI: -6.2, -1.4). Hypertension remained at a stable level among normal-weight men but decreased among men with obesity (-4.1 PP; 95% CI: -7.1, -1.0). Total diabetes remained at a stable level among normal-weight adults, but increased among adults with obesity (men: 3.5 PP; 95% CI: 1.2, 5.7; women: 3.6 PP; 95% CI: 1.8, 5.4). Raised total cholesterol decreased in all BMI groups, but fell more sharply among women with obesity (-21 PP; 95% CI: -25, -17) versus their normal-weight counterparts (-16 PP; 95% CI: -18, -14). Conclusions. Relative to adults with normal weight, greater reductions in hypertension and raised total cholesterol among adults with overweight and obesity reflect at least in part improvements in screening, treatment and control among those at highest cardiovascular risk. Higher levels of risk factor prevalence among adults with overweight and obesity, in parallel with rising diabetes, highlight the importance of national prevention efforts to combat the public health impact of excess adiposity.


2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Romeo B. Batacan ◽  
Mitch J. Duncan ◽  
Vincent J. Dalbo ◽  
Patrick S. Tucker ◽  
Andrew S. Fenning

The effects of light intensity physical activity (LIPA) on cardiovascular disease (CVD) risk factors remain to be established. This review summarizes the effects of LIPA on CVD risk factors and CVD-related markers in adults. A systematic search of four electronic databases (PubMed, Academic Search Complete, SPORTDiscus, and CINAHL) examining LIPA and CVD risk factors (body composition, blood pressure, glucose, insulin, glycosylated hemoglobin, and lipid profile) and CVD-related markers (maximal oxygen uptake, heart rate, C-reactive protein, interleukin-6, tumor necrosis factor-alpha, and tumor necrosis factor receptors 1 and 2) published between 1970 and 2015 was performed on 15 March 2015. A total of 33 intervention studies examining the effect of LIPA on CVD risk factors and markers were included in this review. Results indicated that LIPA did not improve CVD risk factors and CVD-related markers in healthy individuals. LIPA was found to improve systolic and diastolic blood pressure in physically inactive populations with a medical condition. Reviewed studies show little support for the role of LIPA to reduce CVD risk factors. Many of the included studies were of low to fair study quality and used low doses of LIPA. Further studies are needed to establish the value of LIPA in reducing CVD risk.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C.Q Wu ◽  
X Li ◽  
J.P Lu ◽  
B.W Chen ◽  
Y.C Li ◽  
...  

Abstract Background In China, an abundance of cardiovascular risk factors has contributed to the increasing prevalence of cardiovascular diseases (CVD), which caused almost 4 million deaths per year. However, comprehensive evidence on the geographical profiles of cardiovascular disease risk in China is lacking, as findings in prior studies have been limited to relatively small sample sizes, had incomplete regional coverage, or focused on a narrow risk factor spectrum. Purpose To compare the population CVD risk among different regions across China, and to describe the geographical distributions of CVD risk factors and their clusters throughout the nation. Methods In a nationwide population-based screening project covering 252 counties of China, standardized measurements were conducted to collect information on 12 major CVD risk factors. Individuals of high CVD risk were identified as those with previous CVD, or with a predicted 10-year risk of CVD greater than 10% according to the WHO risk prediction charts. We applied factor analysis to generate “clusters” that characterized the clustering of these risk factors, then explored their relationship with the local ambient temperature and per capital GDP. Results Among 983476 participants included, 9.2% were of high CVD risk, with a range of 1.6% to 23.6% across counties. Among the seven regions in China, the rate was relatively high in the Northeast (11.8%) and North China (10.4%), while low in the South China (7.2%) and Northwest (7.8%). We identified 6 clusters underlying CVD risk factors, including Obesity factor, Blood pressure factor, Staple food factor, Non-staple food factor, Smoking and alcohol factor, and Metabolic and physical activity factor (Figure). We found high risk regions were facing different leading challenges, like obesity and blood pressure for the North China, while unhealthy non-staple food for the Northeast. The South China, as the region with the lowest CVD risk, still had the highest prevalence of unhealthy staple food. Lower annual average ambient temperature was associated with higher risk in Blood pressure factor, Obesity factor and Non-staple food factor, but lower risk in Staple food factor and Metabolic and physical activity factor (p&lt;0.001 for all), consistently between rural and urban. Higher per capital GDP was associated with lower risk in Non-staple food factor in urban and higher risk in Metabolic and physical activity factor in rural (p&lt;0.05 for both). The correlation between per capital GDP and Smoking and alcohol factor differed significantly between in rural and urban regions (p=0.042). Conclusions The geographical profile of CVD risk in China is complex - population risk levels varied substantially across regions, which were contributed by different risk factors. China needs geographically targeted intervention strategies considering environmental and socio-economic factors to control CVD risk and reduce the burden related to CVD. Geographical disparity of risk clusters Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): The National Key Research and Development Program from the Ministry of Science and Technology of China; the CAMS Innovation Fund for Medical Science


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Svein Ivar Bekkelund

Abstract Background High and low levels of serum alanine aminotransferase (ALT) are both associated with cardiovascular diseases (CVD) risks especially in elderly, but the mechanisms are less known. This study investigated associations between ALT and CVD risk factors including effects of sex and age in a Caucasian population. Methods Cross-sectional data were analysed sex-stratified in 2555 men (mean age 60.4 years) and 2858 women (mean age 60.0 years) from the population study Tromsø 6. Associations were assessed by variance analysis and multivariable logistic regression of odds to have abnormal ALT. Risk factors included body mass index (BMI), waist-to-hip-ratio, blood pressure, lipids, glucose, glycated haemoglobin and high-sensitive C-reactive protein (CRP). Results Abnormal elevated ALT was detected in 113 men (4.4%) and 188 women (6.6%). Most CVD risk factors associated positively with ALT in both sexes except systolic blood pressure and CRP (women only), while ALT was positively associated with age in men when adjusted for CVD risk factors, P < 0.001. BMI predicted ALT in men (OR 0.94; 95% CI 0.88–1.00, P = 0.047) and women (OR 0.90; 95% CI 0.86–0.95, P < 0.001). A linear inversed association between age and ALT in men and a non-linear inversed U-trend in women with maximum level between 60 and 64 years were found. Conclusion This study confirms a positive relationship between ALT and CVD risk factors, particularly BMI. Age is not a major confounder in the ALT-CVD relationship, but separate sex-analyses is recommended in such studies.


2019 ◽  
Vol 10 (4) ◽  
pp. 634-646 ◽  
Author(s):  
Ehsan Ghaedi ◽  
Mohammad Mohammadi ◽  
Hamed Mohammadi ◽  
Nahid Ramezani-Jolfaie ◽  
Janmohamad Malekzadeh ◽  
...  

ABSTRACTThere is some evidence supporting the beneficial effects of a Paleolithic diet (PD) on cardiovascular disease (CVD) risk factors. This diet advises consuming lean meat, fish, vegetables, fruits, and nuts and avoiding intake of grains, dairy products, processed foods, and added sugar and salt. This study was performed to assess the effects of a PD on CVD risk factors including anthropometric indexes, lipid profile, blood pressure, and inflammatory markers using data from randomized controlled trials. A comprehensive search was performed in the PubMed, Scopus, ISI Web of Science, and Google Scholar databases up to August 2018. A meta-analysis was performed using a random-effects model to estimate the pooled effect size. Meta-analysis of 8 eligible studies revealed that a PD significantly reduced body weight [weighted mean difference (WMD) = −1.68 kg; 95% CI: −2.86, −0.49 kg], waist circumference (WMD = −2.72 cm; 95% CI: −4.04, −1.40 cm), BMI (in kg/m2) (WMD = −1.54; 95% CI: −2.22, −0.87), body fat percentage (WMD = −1.31%; 95% CI: −2.06%, −0.57%), systolic (WMD = −4.75 mm Hg; 95% CI: −7.54, −1.96 mm Hg) and diastolic (WMD = −3.23 mm Hg; 95% CI: −4.77, −1.69 mm Hg) blood pressure, and circulating concentrations of total cholesterol (WMD = −0.23 mmol/L; 95% CI: −0.42, −0.04 mmol/L), triglycerides (WMD = −0.30 mmol/L; 95% CI: −0.55, −0.06 mmol/L), LDL cholesterol (WMD = −0.13 mmol/L; 95% CI: −0.26, −0.01 mmol/L), and C-reactive protein (CRP) (WMD = −0.48 mg/L; 95% CI: −0.79, −0.16 mg/L) and also significantly increased HDL cholesterol (WMD = 0.06 mmol/L; 95% CI: 0.01, 0.11 mmol/L). However, sensitivity analysis revealed that the overall effects of a PD on lipid profile, systolic blood pressure, and circulating CRP concentrations were sensitive to removing some studies and to the correlation coefficients, hence the results must be interpreted with caution. Although the present meta-analysis revealed that a PD has favorable effects on CVD risk factors, the evidence is not conclusive and more well-designed trials are still needed.


2021 ◽  
Vol 6 (1) ◽  
pp. e003499
Author(s):  
Ryan G Wagner ◽  
Nigel J Crowther ◽  
Lisa K Micklesfield ◽  
Palwende Romauld Boua ◽  
Engelbert A Nonterah ◽  
...  

IntroductionCardiovascular disease (CVD) risk factors are increasing in sub-Saharan Africa. The impact of these risk factors on future CVD outcomes and burden is poorly understood. We examined the magnitude of modifiable risk factors, estimated future CVD risk and compared results between three commonly used 10-year CVD risk factor algorithms and their variants in four African countries.MethodsIn the Africa-Wits-INDEPTH partnership for Genomic studies (the AWI-Gen Study), 10 349 randomly sampled individuals aged 40–60 years from six sites participated in a survey, with blood pressure, blood glucose and lipid levels measured. Using these data, 10-year CVD risk estimates using Framingham, Globorisk and WHO-CVD and their office-based variants were generated. Differences in future CVD risk and results by algorithm are described using kappa and coefficients to examine agreement and correlations, respectively.ResultsThe 10-year CVD risk across all participants in all sites varied from 2.6% (95% CI: 1.6% to 4.1%) using the WHO-CVD lab algorithm to 6.5% (95% CI: 3.7% to 11.4%) using the Framingham office algorithm, with substantial differences in risk between sites. The highest risk was in South African settings (in urban Soweto: 8.9% (IQR: 5.3–15.3)). Agreement between algorithms was low to moderate (kappa from 0.03 to 0.55) and correlations ranged between 0.28 and 0.70. Depending on the algorithm used, those at high risk (defined as risk of 10-year CVD event >20%) who were under treatment for a modifiable risk factor ranged from 19.2% to 33.9%, with substantial variation by both sex and site.ConclusionThe African sites in this study are at different stages of an ongoing epidemiological transition as evidenced by both risk factor levels and estimated 10-year CVD risk. There is low correlation and disparate levels of population risk, predicted by different risk algorithms, within sites. Validating existing risk algorithms or designing context-specific 10-year CVD risk algorithms is essential for accurately defining population risk and targeting national policies and individual CVD treatment on the African continent.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Nancy S Jenny ◽  
Nels C Olson ◽  
Alicia M Ellis ◽  
Margaret F Doyle ◽  
Sally A Huber ◽  
...  

Introduction: Clinically, natural killer (NK) cells are important in inflammatory and autoimmune diseases. As part of innate immunity, NK cells produce chemokines and inflammatory cytokines, potentially linking them to cardiovascular disease (CVD) development and progression as well. However, their role in human CVD is not clear. Hypothesis: NK cells are proatherogenic in humans and are associated with CVD risk factors and subclinical CVD measures. Methods: We examined cross-sectional associations of circulating NK cell levels with CVD risk factors, subclinical CVD measures and coronary artery calcium (CAC) in 891 White, Black, Chinese and Hispanic men and women (mean age 66 y) in the Multi-Ethnic Study of Atherosclerosis (MESA) at Exam 4 (2005-07). NK cell percent, percent of circulating lymphocytes that were CD3 - CD56 + CD16 + , was measured in whole blood by flow cytometry. CAC presence was defined as Agatston score > 0. Results: Mean (standard deviation) NK percent differed by race/ethnicity; 8.2% (4.7) in Whites, 11.3% (7.5) in Chinese (p<0.001 compared to Whites), 7.1 (4.2) in Blacks (p=0.007) and 8.4 (5.2) in Hispanics (p=0.6). NK cell percent was positively associated with age (p<0.001) and systolic blood pressure (P=0.003) in the full group. However, NK cell percent was lower in current smokers than in never smokers (p=0.002). Adjusting for age, sex, race/ethnicity, smoking, body mass index, systolic blood pressure, diabetes and dyslipidemia, NK cell percent was negatively associated with common carotid intima media thickness (IMT; β coefficient -0.01; 95% confidence interval -0.03, -0.003) but was not associated with internal carotid IMT (-0.002; -0.037, 0.033). Likewise, NK cell percent was not associated with the presence of CAC (compared those with no detectable CAC; relative risk 1.02; 95% confidence interval 0.96, 1.08) or continuous Agatston score in those with a positive score (β coefficient 0.16, 95% confidence interval -0.003, 0.32) in the full group (models adjusted as above). Results were similar across race/ethnic groups. Conclusions: Of clinical interest, CD3 - CD56 + CD16 + NK cell percent varied significantly by race/ethnicity in these men and women from MESA. However, NK cell percent was inconsistently associated with CVD risk factors; positively with age and systolic blood pressure, and negatively with smoking. NK cell percent was also negatively associated with common carotid IMT. Larger sample sizes and longitudinal analyses will be required to clarify the potential relationship between NK cells and atherosclerosis in humans.


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