Biomarkers For Primary Prevention Research Articles

The effects of statins on cardiovascular and inflammatory biomarkers in primary prevention: A systematic review and meta-analysis

Abstract Background Statins are well-established for their treatment of cardiovascular disease (CVD) due to their cholesterol-lowering effects and potential anti-inflammatory properties. Although previous systematic reviews demonstrate that statins reduce inflammatory biomarkers in the secondary prevention of CVD, none examine their effects on cardiac and inflammatory biomarkers in a primary prevention setting. Aims and Methods We conducted a systematic review and meta-analysis to examine the effects of statins on cardiovascular and inflammatory biomarkers among individuals without established CVD. The biomarkers included are: cardiac troponin, N-terminal pro B-type natriuretic peptide (NT-proBNP), C-reactive protein (CRP), tumour necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), soluble vascular cell adhesion molecule (sVCAM), soluble intercellular adhesion molecule (sICAM), soluble E-selectin (sE-selectin) and endothelin-1 (ET-1). A literature search was performed through Ovid MEDLINE, Embase and CINAHL Plus for randomized controlled trials (RCTs) published up to June 2021. Results Overall, 35 RCTs with 26,521 participants were included in our meta-analysis. Data was pooled using random effects models presented as standardized mean differences (SMD) with 95% confidence intervals (CI). Combining 36 effect sizes from 29 RCTs, statin use resulted in a significant reduction in CRP levels (SMD -0.61; 95% CI -0.91, -0.32; P<0.001). This reduction was observed for both hydrophilic (SMD -0.39; 95% CI -0.62, -0.16; P<0.001) and lipophilic statins (SMD -0.65; 95% CI -1.01, -0.29; P<0.001). There were no significant changes in serum concentrations of cardiac troponin, NT-proBNP, TNF-α, IL-6, sVCAM, sICAM, sE-selectin and ET-1. Conclusions This meta-analysis demonstrates the effect of statins in reducing serum CRP concentrations in the context of CVD primary prevention, with no significant changes in the other cardiac and inflammatory biomarkers studied. The meta-analysis highlights the need for further high quality, large-scale trials evaluating the effects of statins on cardiac and inflammatory biomarkers in primary prevention.Figure 1.Effect of statins on CRP

The Effects of Statins on Cardiovascular and Inflammatory Biomarkers in Primary Prevention: A Systematic Review and Meta-Analysis.

Statins are well-established for their treatment of cardiovascular disease (CVD) due to their cholesterol-lowering effects and potential anti-inflammatory properties. Although previous systematic reviews demonstrate that statins reduce inflammatory biomarkers in the secondary prevention of CVD, none examine their effects on cardiac and inflammatory biomarkers in a primary prevention setting. We conducted a systematic review and meta-analysis to examine the effects of statins on cardiovascular and inflammatory biomarkers among individuals without established CVD. The biomarkers included are: cardiac troponin, N-terminal pro B-type natriuretic peptide (NT-proBNP), C-reactive protein (CRP), tumour necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), soluble vascular cell adhesion molecule (sVCAM), soluble intercellular adhesion molecule (sICAM), soluble E-selectin (sE-selectin) and endothelin-1 (ET-1). A literature search was performed through Ovid MEDLINE, Embase and CINAHL Plus for randomised controlled trials (RCTs) published up to June2021. Overall, 35 RCTs with 26,521 participants were included in our meta-analysis. Data was pooled using random effects models presented as standardised mean differences (SMD) with 95% confidence intervals (CI). Combining 36 effect sizes from 29 RCTs, statin use resulted in a significant reduction in CRP levels (SMD -0.61; 95% CI -0.91, -0.32; P<0.001). This reduction was observed for both hydrophilic (SMD -0.39; 95% CI -0.62, -0.16; P<0.001) and lipophilic statins (SMD -0.65; 95% CI -1.01, -0.29; P<0.001). There were no significant changes in serum concentrations of cardiac troponin, NT-proBNP, TNF-α, IL-6, sVCAM, sICAM, sE-selectin and ET-1. This meta-analysis demonstrates that statin use reduces serum CRP levels in a primary prevention setting for CVD, with no clear effect on the other eight biomarkers studied.

Association between Low-Density Lipoprotein Cholesterol and Vascular Biomarkers in Primary Prevention.

Several noninvasive vascular biomarkers have been proposed to improve risk stratification for atherothrombotic events. To identify biomarkers suitable for detecting intermediate-risk individuals who might benefit from lipid-lowering treatment in primary prevention, the present study tested the association of plasma LDL-cholesterol with coronary artery calcification (CAC) Agatston score, high carotid and femoral intima-media thickness (IMT), low carotid distensibility and high carotid-femoral pulse-wave velocity in 260 asymptomatic individuals at intermediate cardiovascular risk and without diabetes and lipid-lowering treatment. High or low vascular biomarkers were considered when their value was above the 95th or below the 5th percentile, respectively, of the distribution in the healthy or in the study population. LDL-cholesterol was independently associated with the CAC score = 0 (OR 0.67; 95%CI 0.48-0.92, p = 0.01), CAC score > 100 (1.59; 1.08-2.39, p = 0.01) and high common femoral artery (CFA) IMT (1.89; 1.19-3.06, p < 0.01), but not with other biomarkers. Our data confirm that in individuals at intermediate risk, lipid-lowering treatment can be avoided in the presence of a CAC score = 0, while it should be used with a CAC score > 100. CFA IMT could represent a useful biomarker for decisions regarding lipid-lowering treatment. However, sex- and age-specific reference values should be established in a large healthy population.

Biomarkers in primary prevention : Meaningful diagnosis based on biomarker scores?

Cardiovascular (CV) risk assessment is based on the utilization of risk scores, enabling clinicians to estimate an individual's risk to develop CV pathologies and events. Such risk scores comprise classic CV risk factors such as smoking, diabetes, hypertension, and blood cholesterol levels. Recently, other CV biomarkers such as cardiac troponins have been suggested and evaluated as alternative biomarkers not only in the acute diagnostic setting of myocardial infarction, but also as markers for risk stratification in the general population. In this review, we summarize the current knowledge on biomarkers in the field of primary prevention in cardiovascular disease (CVD). Furthermore, we present potential alternative biomarker-based strategies for CV risk assessment. In this respect we provide an outlook on the potential use of genomic variation as well as circulating non-coding RNAs to complement current risk assessment strategies so as to further personalize risk stratification in CVD.

Role of biomarkers in predicting diabetes complications with special reference to diabetic foot ulcers.

Diabetic foot ulcer (DFU) is one of the major complications of diabetes and about 1% of people with diabetes have to go for lower limb amputation. With better understanding of the pathological basis of DFU, number of biomarkers like atrial natriuretic peptides, galectin-3, and cardiac troponins for diabetic cardiomyopathy, cystatin C for diabetics nephropathy and C-reactive protein for infection and procalcitonin could aid in early and noninvasive diagnosis especially when clinical signs are misleading. Predictive role of novel biomarkers in primary prevention however, requires additional studies considering sex, age and multiple complications in DFU. The current review provides an insight about the novel and emerging biomarkers of diabetes and its complications with special reference to DFUs.

Personalized PREvention of Chronic DIseases (PRECeDI): a Marie Curie RISE project

Funded in the context of the first call of the Marie Curie Research and Innovation Staff Exchange (RISE) 2014 of Horizon 2020, the PREvention of Chronic DIseases consortium (PRECeDI, http://www.precedi.eu/) aims to provide high-quality, multidisciplinary knowledge through training and research in personalized medicine with specific focus on the personalized prevention of chronic diseases. There is a large consensus that personalized medicine is a driver of innovation for research and health care, and also for the health care system and industry as a whole [1]. In order to harness the potential of this new concept, the “PRECeDI” consortium aims to train staff from academic and non-academic institutions on several research topics related to personalized prevention of cancer and neurodegenerative diseases. The acquisition of skills from researchers will come from dedicated secondments aimed at training on different research topics not available at the home institutions; attendance to training courses, workshops, seminars, conferences. In details, five research domains will be addresses: 1) identification and validation of biomarkers for primary prevention of cardiovascular diseases, secondary prevention of Alzheimer, and tertiary prevention of head and neck cancer; 2) economic evaluation of genomic applications; 3) ethical-legal and policy issues surrounding personalized medicine; 4) sociotechnical analysis of the pros-and cons of informing healthy individuals on their genome; 5) identification of organizational models for the provision of predictive genetic testing. PRECeDI is embedded in existing cooperation structures, such as the Erasmus Mundus ERAWEB II program, with additional leading small-medium enterprises (SMEs) in Europe and Canada as beneficiaries. The consortium consists of 9 beneficiaries, namely the Institute of Public Health, Universita del Sacro Cuore, Rome, Italy; Better Value Healthcare Ltd, Oxford, United Kingdom; Department of Infectiuos Diseaseses and Hygiene, Universita La Sapienza, Rome, Italy; Section Community Genetics, VU University Amsterdam, The Netherlands; LINKCARE Health Services S.L., Barcelona, Spain; Erasmus Universitait Medisch Centrum, Department of Epidemiology, Rotterdam, (1) Section of Hygiene, Institute of Public Health, Universita

Epigenetic Biomarkers of Breast Cancer Risk: Across the Breast Cancer Prevention Continuum.

Epigenetic biomarkers, such as DNA methylation, can increase cancer risk through altering gene expression. The Cancer Genome Atlas (TCGA) Network has demonstrated breast cancer-specific DNA methylation signatures. DNA methylation signatures measured at the time of diagnosis may prove important for treatment options and in predicting disease-free and overall survival (tertiary prevention). DNA methylation measurement in cell free DNA may also be useful in improving early detection by measuring tumor DNA released into the blood (secondary prevention). Most evidence evaluating the use of DNA methylation markers in tertiary and secondary prevention efforts for breast cancer comes from studies that are cross-sectional or retrospective with limited corresponding epidemiologic data, raising concerns about temporality. Few prospective studies exist that are large enough to address whether DNA methylation markers add to the prediction of tertiary and secondary outcomes over and beyond standard clinical measures. Determining the role of epigenetic biomarkers in primary prevention can help in identifying modifiable pathways for targeting interventions and reducing disease incidence. The potential is great for DNA methylation markers to improve cancer outcomes across the prevention continuum. Large, prospective epidemiological studies will provide essential evidence of the overall utility of adding these markers to primary prevention efforts, screening, and clinical care.

Biomarkers and Cardiovascular Risk Assessment for Primary Prevention: An Update

Interest in cardiovascular biomarkers in primary prevention has increased dramatically in the past decade. This increase has been fueled by an improved understanding of cardiovascular pathophysiology, as well as novel technologies for biomarker identification. In this review we provide a brief overview of recent concepts in the evaluation of screening biomarkers, because biomarkers may behave differently when used for screening as opposed to diagnosis or disease staging. The following specific biomarker examples are then discussed, with a focus on data from primary prevention studies: high-sensitivity C-reactive protein, B-type natriuretic peptide, lipoprotein-associated phospholipase A2, and high-sensitivity troponin T. The article concludes by addressing novel platforms for biomarker discovery, reviewing recent examples from the field of metabolomics. An ongoing challenge is to develop screening strategies that can identify individuals at risk for cardiovascular events well before symptoms appear. For this purpose, the measurement of soluble biomarkers could be an important adjunct to traditional cardiovascular risk assessment. Recent studies highlight both the strengths and limitations of "novel" circulating biomarkers, and suggest that substantial work is still needed to identify biomarkers that are sufficiently accurate and cost-effective for routine use in primary prevention.