Pathogenesis of coronary artery disease: focus on genetic risk factors and identification of genetic variants

Identification of effect modifiers using a stratified Mendelian randomization algorithmic framework

Mendelian randomization (MR) is a technique which uses genetic data to uncover causal relationships between variables. With the growing availability of large-scale biobank data, there is increasing interest in elucidating nuances in these relationships using MR. Stratified MR techniques such as doubly-ranked MR (DRMR) and residual stratification MR have been developed to identify nonlinearity in causal relationships. These methods calculate causal estimates within strata of the exposure adjusted to mitigate the impact of collider bias. However, their application to scenarios using a stratifying variable other than the exposure to identify the presence of effect modifiers has been limited. The reliable identification of effect modifiers is key to identifying subgroups of patients differentially affected by risk and protective factors. In this study, we present a stratified MR algorithm capable of identifying effect modifiers of causal relationships using adapted forms of DRMR and residual stratification MR. Through simulations, the algorithm was found to be robust at handling nonlinear relationships and forms of collider bias, accommodating both binary and continuous outcomes. Application of the stratified MR algorithm to 1,715 exposure-stratifying variable-outcome combinations identified two Bonferroni significant effect modifiers of causal relationships in the UK Biobank. The causal effect of body mass index on type 2 diabetes mellitus was attenuated with age, while the effect of LDL cholesterol on coronary artery disease was exacerbated with increased serum urate. Overall, we introduce a tool for detecting effect modifiers of causal relationships, and present two cases with clinical implications for personalized risk assessment of cardiometabolic diseases.

Mapping the knowledge of omics in myocardial infarction: A scientometric analysis in R Studio, VOSviewer, Citespace, and SciMAT

Many researchers nowadays choose multi-omics techniques for myocardial infarction studies. However, there's yet to be a review article integrating myocardial infarction multi-omics. Hence, this study adopts the popular bibliometrics. Based on its principles, we use software like R Studio, Vosviewer, Citespace, and SciMAT to analyze literature data of myocardial infarction omics research (1991-2022) from Web of Science. By extracting key information and calculating weights, we conduct analyses from 4 aspects: Collaboration Network Analysis, Co-word Analysis, Citing and Cited Journal Analysis, and Co-citation and Clustering Analysis, aiming to understand the field's cooperation, research topic evolution, and knowledge flow. The results show that myocardial infarction omics research is still in its early stage with limited international cooperation. In terms of knowledge flow, there's no significant difference within the discipline, but non-biomedical disciplines have joined, indicating an interdisciplinary integration trend. In the overall research field, genomics remains the main topic with many breakthroughs identifying susceptibility sites. Meanwhile, other omics fields like lipidomics and proteomics are also progressing, clarifying the pathogenesis. The cooperation details in this article enable researchers to connect with others, facilitating their research. The evolution trend of subject terms helps them set goals and directions, quickly grasp the development context, and read relevant literature. Journal analysis offers submission suggestions, and the analysis of research base and frontier provides references for the research's future development.

A Retrospective Observational Study Examining Physical Activity Among Adults in the United States With Angina or Coronary Heart Disease

INTRODUCTION

 Coronary heart disease (CHD) involves inadequate blood supply to the myocardium by the coronary arteries due to the formation of atherosclerotic plaque in the vessel lumen. It has a complex etiopathogenesis. Physical activity (PA) and exercise lead to vascular remodeling and improved endothelial function, which, in turn, improves the arterial blood supply to the myocardium.

OBJECTIVES

The study aims to determine the prevalence of self-reported PA among CHD patients in the United States based on demographic, socioeconomic, and healthcare access variables for the year 2021.

METHODOLOGY

 The data for the study on CHD were extracted using the Behavioral Risk Factor Surveillance System (BRFSS) Web-Enabled Analysis Tool database of the U.S.

POPULATION

The control variables used broadly include demographics, socioeconomic, and healthcare access.

RESULTS

 In 2021, 433,615 people in the USA participated in the BRFSS study. Among them, 22,819 self-identified as having angina or CHD. In the past month, 62.2% of participants with the disease were involved in PA, and 37.8% were not. Among participants without angina or CHD, 76.5% were involved, and 23.5% were not involved in PA in the past month.

CONCLUSION

 This study highlights the need for specific interventions to overcome obstacles preventing PA among CHD patients.

Drug-eluting stents for coronary artery disease in the perspective of bibliometric analysis

Drug-eluting stents (DES) play a crucial role in treating coronary artery disease (CAD) by preventing restenosis. These stents are coated with drug carriers that release antiproliferative drugs within the vessel. Over the past two decades, DES have been employed in clinical practice using various materials, polymers, and drug types. Despite optimizations in their design and materials to enhance biocompatibility and antithrombotic properties, evaluating their long-term efficacy and safety necessitates improved clinical follow-up and monitoring. To delineate future research directions, this study employs a bibliometric analysis approach. We comprehensively surveyed two decades' worth of literature on DES for CAD using the Web of Science Core Collection (WOSCC). Out of 5,778 articles, we meticulously screened them based on predefined inclusion and exclusion criteria. Subsequently, we conducted an in-depth analysis encompassing annual publication trends, authorship affiliations, journal affiliations, keywords, and more. Employing tools such as Excel 2021, CiteSpace 6.2R3, VOSviewer 1.6.19, and Pajek 5.17, we harnessed bibliometric methods to derive insights from this corpus. Analysis of annual publication data indicates a recent stabilisation or even a downward trend in research output in this area. The United States emerged as the leading contributor, with Columbia University and CRF at the forefront in both publication output and citation impact. The most cited document pertained to standardized definitions for clinical endpoints in coronary stent trials. Our author analysis identifies Patrick W. Serruys as the most prolific contributor, underscoring a dynamic exchange of knowledge within the field.Moreover, the dual chart overlay illustrates a close interrelation between journals in the "Medicine," "Medical," and "Clinical" domains and those in "Health," "Nursing," and "Medicine." Frequently recurring keywords in this research landscape include DES coronary artery disease, percutaneous coronary intervention, implantation, and restenosis. This study presents a comprehensive panorama encompassing countries, research institutions, journals, keyword distributions, and contributions within the realm of DES therapy for CAD. By highlighting keywords exhibiting recent surges in frequency, we elucidate current research hotspots and frontiers, thereby furnishing novel insights to guide future researchers in this evolving field.

Prevention of neointimal hyperplasia after coronary artery bypass graft via local delivery of sirolimus and rosuvastatin: network pharmacology and in vivo validation

BACKGROUND

Coronary artery bypass graft (CABG) is generally used to treat complex coronary artery disease. Treatment success is affected by neointimal hyperplasia (NIH) of graft and anastomotic sites. Although sirolimus and rosuvastatin individually inhibit NIH progression, the efficacy of combination treatment remains unknown.

METHODS

We identified cross-targets associated with CABG, sirolimus, and rosuvastatin by using databases including DisGeNET and GeneCards. GO and KEGG pathway enrichment analyses were conducted using R studio, and target proteins were mapped in PPI networks using Metascape and Cytoscape. For in vivo validation, we established a balloon-injured rabbit model by inducing NIH and applied a localized perivascular drug delivery device containing sirolimus and rosuvastatin. The outcomes were evaluated at 1, 2, and 4 weeks post-surgery.

RESULTS

We identified 115 shared targets between sirolimus and CABG among databases, 23 between rosuvastatin and CABG, and 96 among all three. TNF, AKT1, and MMP9 were identified as shared targets. Network pharmacology predicted the stages of NIH progression and the corresponding signaling pathways linked to sirolimus (acute stage, IL6/STAT3 signaling) and rosuvastatin (chronic stage, Akt/MMP9 signaling). In vivo experiments demonstrated that the combination of sirolimus and rosuvastatin significantly suppressed NIH progression. This combination treatment also markedly decreased the expression of inflammation and Akt signaling pathway-related proteins, which was consistent with the predictions from network pharmacology analysis.

CONCLUSIONS

Sirolimus and rosuvastatin inhibited pro-inflammatory cytokine production during the acute stage and regulated Akt/mTOR/NF-κB/STAT3 signaling in the chronic stage of NIH progression. These potential synergistic mechanisms may optimize treatment strategies to improve long-term patency after CABG.

Angiographic severity of coronary artery disease and the influence of major cardiovascular risk factors

Objective

To determine the angiographic severity of coronary artery disease (CAD) and assess the influence of major cardiovascular risk factors (CVRF).

Study design

a cross-sectional, hospital-based study.

Setting

the catheterisation laboratory of the National Cardiothoracic Centre, Accra, Ghana.

Participants

for 12 months, consecutive patients admitted for coronary angiography were assessed for the presence of CVRFs. Those with significant CAD after angiography were recruited into the study.

Intervention

The patient's angiograms were analysed, and the CAD severity was obtained using the SYNTAX scoring criteria.

Main outcome measure

The lesion overall severity (SYNTAX) score and the relationship with CVRFs present.

Results

out of the 169 patients that had coronary angiography, 78 had significant CAD. The mean SYNTAX score was 20.18 (SD= 10.68), with a significantly higher value in dyslipidaemic patients (p < 0.001). Pearson's correlation between the score and BMI was weak (r= 0.256, p= 0.034). The occurrence of high SYNTAX score lesions in about 18% of the population was significantly associated with hypertension (OR= 1.304, 95% CI [1.13-1.50]; p= 0.017) dyslipidaemia (OR= 5.636, 95% CI [1.17-27.23]; p= 0.019), and obesity (OR= 3.960, 95% CI [1.18-13.34]; p= 0.021). However, after adjusting for confounding factors, only dyslipidaemia significantly influenced its occurrence (aOR= 5.256, 95% CI [1.03-26.96]; p= 0.047).

Conclusion

Even though the most severe form of CAD was found in about one-fifth of the study population, its occurrence was strongly influenced by the presence of dyslipidaemia.

Funding

None.

The Potential of Single Nucleotide Polymorphisms (SNPs) as Biomarkers and Their Association with the Increased Risk of Coronary Heart Disease: A Systematic Review

Human genetic analyses and epidemiological studies showed a potential association between several types of gene polymorphism and the development of coronary heart disease (CHD). Many studies on this pertinent topic need to be investigated further to reach an evidence-based conclusion. Therefore, in this current review, we describe several types of gene polymorphisms that are potentially linked to CHD. A systematic review using the databases EBSCO, PubMed, and ScienceDirect databases was searched until October of 2022 to find relevant studies on the topic of gene polymorphisms on risk factors for CHD, especially for the factors associated with single nucleotide polymorphisms (SNPs). The risk of bias and quality assessment was evaluated by Joanna Briggs Institute (JBI) guidelines. From keyword search results, a total of 6243 articles were identified, which were subsequently narrowed to 14 articles using prespecified inclusion criteria. The results suggested that there were 33 single nucleotide polymorphisms (SNPs) that can potentially increase the risk factors and clinical symptoms of CHD. This study also indicated that gene polymorphisms had a potential role in increasing CHD risk factors that were causally associated with atherosclerosis, increased homocysteine, immune/inflammatory response, Low-Density Lipoprotein (LDL), arterial lesions, and reduction of therapeutic effectiveness. In conclusion, the findings of this study indicate that SNPs may increase risk factors for CHD and SNPs show different effects between individuals. This demonstrates that knowledge of SNPs on CHD risk factors can be used to develop biomarkers for diagnostics and therapeutic response prediction to decide successful therapy and become the basis for defining personalized medicine in future.

Expression of lncRNA APF in Peripheral Blood of Patients with Acute Myocardial Infarction Caused by Coronary Heart Disease and its Clinical Significance

Coronary heart disease (CHD) is the leading cause of death from cardiovascular disease. This study investigated the expression and clinical significance of long noncoding RNA (lncRNA) autophagy promoting factor (APF) in peripheral blood of patients with acute myocardial infarction (AMI) caused by CHD. Patients with angina pectoris (AP) (n = 80) and AMI (n = 96) and other patients (n = 60) with precordial discomfort but no CHD were included. The serum levels of lncRNA APF, MIAT, MALAT1, H19, CHAST, CDR1AS, miR-188-3p, and cardiac troponin I (cTnI) /creatine kinase (CK) /creatine kinase isozymes (CK-MB) were detected using reverse transcription-quantitative polymerase chain reaction or enzyme-linked immunosorbent assay. Patients with AMI were divided into high/low expression groups based on the median level of APF, and the clinical baseline indicators of patients with AMI were compared. The correlation between lncRNA APF and cTnI/CK/CK-MB/miR-188-3p was analyzed using Pearson analysis, and the clinical value of lncRNA APF was evaluated using the receiver operating characteristic curve. The levels of lncRNA APF, MIAT, MALAT1, H19, CHAST, and CDR1AS in patients with AMI were increased, whereas there were no differences in patients with AP. The APF levels in patients with AMI were higher than MIAT, MALAT1, and CHAST, whereas there were no differences between APF and H19 and CDR1AS. In patients with AMI, the high level of lncRNA APF was correlated with the history of smoking/drinking. Moreover, lncRNA APF was positively correlated with cTnI/CK/CK-MB levels and negatively correlated with miR-188-3p. LncRNA APF has high diagnostic efficacy for AMI. Overall, lncRNA APF is highly expressed in patients with AMI caused by CHD and has high diagnostic efficacy for AMI.

NPAS4 Polymorphisms Contribute to Coronary Heart Disease (CHD) Risk

As genetic inheritance is an inevitable risk factor in the development of coronary heart disease (CHD), it is critical to identify the polymorphisms of CHD risk. This study explored whether the NPAS4 polymorphisms are related to the CHD risk in the Chinese Han population. Five SNPs in NPAS4 were genotyped using Agena Mass ARRAY from 499 CHD and 500 controls. RT-PCR detected the NPAS4 expression levels in peripheral blood mononuclear cells from 50 CHD and 50 controls. χ² test compared the distributions of gender, allele and genotypes frequencies between cases and controls. Logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (95% CIs). MDR analyzed the SNP-SNP interactions on risk of CHD. U test compared the differences in gene expression between different groups. The results showed that rs4466842 was correlated with an increased CHD risk in overall, males and age ≤ 60; rs117186164 and rs12785321 were significantly related to an increased CHD risk in male and age ≤ 60, respectively; haplotype A_rs117186164C_rs4466842 was significantly correlated with an increased CHD risk. SNP-SNP interactions results showed that the best model was the four-locus model was the combination of rs117770654, rs117957381, rs12785321, and rs4466842 (CVC = 10/10, Testing Sensitivity = 0.647). The expression levels of NPAS4 in the case group (0.365 ± 0.139) were significantly lower than that in the control group (0.782 ± 0.224) (P < 0.001). The results revealed that SNPs in NPAS4 may play an important role in the occurrence and development of CHD.

Differential Expression of Long Noncoding RNAs in Patients with Coronary Artery Disease

Long noncoding RNAs (lncRNAs) constitute the largest class of noncoding RNAs and play significant roles in the development of cardiovascular pathologies. In the present study, we aimed to evaluate whether 4 candidate lncRNAs - MIAT, MEG3, MALAT1, and MCM3AP-AS1 - have distinct expression levels in patients with obstructive coronary artery disease (CAD) and reveal the diagnostic and therapeutic potentials of these lncRNAs for CAD. A total of 90 patients who subjected to coronary angiography were enrolled. Relative expression of lncRNAs were assayed using qRT-PCR methodology. As a result, MIAT was downregulated, while MEG3 was upregulated in CAD patients. Receiver operating characteristic curves demonstrated that these lncRNAs have a high potential to provide sensitive and specific diagnosis of CAD. The calculated area under curve levels indicated that MIAT and MEG3 have high diagnostic value for detecting the presence of significant CAD. However, MALAT1 and MCM3AP-AS1 levels were not sufficiently reliable for CAD development in our cases. Here, we demonstrate that MIAT and MEG3 were differentially expressed in our patients and might be promising biomarkers and therapeutic targets for CAD. These results indicate that MIAT and MEG3 could play chief roles in CAD development.

Evaluating value of positive T wave in lead V1 and TV1 > TV6 pattern in predicting significant coronary artery disease in patients undergoing coronary angiography

BACKGROUND

The aim of this study was to predict significant coronary artery disease (CAD) in patients undergoing coronary angiography.

METHODS

In this cross-sectional study, data of 384 patients who underwent angiography during 2015-2017 were reviewed. Electrocardiograms (ECGs) were evaluated in terms of having positive T wave in lead V1 (TV1) described as T wave with amplitude of more than 0.15 mV and angiography records were assessed for presence of significant CAD defined as presence of ≥ 70% internal diameter stenosis in at least one major epicardial coronary artery or more than 50% stenosis in left main artery (LMA).

RESULTS

Out of 384 patients who participated in this study with mean age of 63.6 ± 10.2 years (40-89 years), 71.6% showed positive TV1 and significant CAD simultaneously and left anterior descending artery (LAD) and left circumflex artery (LCX) lesions were more frequently reported in coronary angiography. Based on chi-square test, the prevalence of significant CAD was obviously more in those with positive TV1 as compared to those without this finding [odds ratio (OR) = 2.74, 95% confidence interval (CI): 1.80-4.19, P < 0.001]. Mann-Whitney test showed significant difference in number of coronary arteries involved in CAD between presence of positive and negative T wave in lead V1 (P < 0.001). Great number of patients with significant CAD had remarkably higher T wave amplitude in lead V1 in comparison to lead V6 (OR = 6.22, 95% CI: 3.14-12.30, P < 0.001).

CONCLUSION

Positive TV1 and TV1 > TV6 pattern can be considered as a predictor for significant CAD in patients with otherwise normal ECG.

The Risk Factors of Coronary Heart Disease and its Relationship with Endothelial Nitric Oxide Synthase

BACKGROUND: Coronary heart disease (CHD) is the leading cause of death and start with injury to the endothelium of a coronary artery. The common feature of endothelial dysfunction is a decrease of nitric oxide (NO) bioavailability that regulated by endothelial NO synthase (eNOS) activity. AIM: The aim of our study was to study the relationship between risk factors of CHD patients with the level of eNOS. METHODS: Thirty-seven outpatients in cardiology department of the regional public hospital diagnosed as CHD were included in our study. Thirty healthy individuals were included as the control group. Risk factors of CHD were identified according to anamnesis and laboratory finding. eNOS was measured by ELISA methods. RESULTS: Endothelial NOS levels were significantly higher in the CHD when compared to the controls (p < 0.05). The most dominant risk factor for CHD is overweight, and followed by dyslipidemia, smoking, hypertension, history of CHD, and diabetes mellitus. eNOS in CHD patients who had one risk factor was 37.598 ± 0.1541 ng/ml, two risk factors 42.154 ± 22.329 ng/ml, three risk factors 25.329 ± 6.083 ng/ml, four risk factors 22.483 ± 4.022 ng/ml, and five risk factors 15.994 ± 4.774 ng/ml. There were significant differences in the average eNOS levels based on the number of risk factors (p < 0.05), and a tendency that more risk factors in CHD patients, the lower the average level of eNOS. CONCLUSION: In our study, eNOS levels showed highly significant relation with CHD and related to the number of risk factors those the CHD patients had.

Retinal Vessel Functionality Is Linked With ARMS2 A69S and CFH Y402H Polymorphisms and Choroidal Status in AMD Patients

Purpose

We aimed to investigate the reactivity of retinal vessels to a flickering stimulus in patients with age-related macular degeneration (AMD) and healthy participants. We also assessed whether the parameters of retinal vessels are dependent on genetic predisposition.

Methods

A total of 354 patients with AMD and 121 controls were recruited for the study. All participants underwent thorough ophthalmologic examination and static and dynamic retinal vessel analysis. AMD risk polymorphisms were genotyped in the CFH and ARMS2 genes.

Results

We found no differences between the AMD group and controls in central retinal arteriolar equivalent (CRAE), central retinal venular equivalent (CRVE), arteriovenous ratio (AVR), dynamic analysis of arteries (DAAs), or dynamic analysis of veins (DAVs). Eyes with early AMD presented with significantly higher AVR values than eyes with late AMD. In the AMD group, DAA correlated positively with both choroidal thickness (Rs = 0.14, P = 0.00096) and choroidal volume (Rs = 0.23, P < 0.0001), and no such associations were observed in the controls. We found significantly lower DAA (1.47 ± 1.50) in TT homozygotes for the ARMS2 A69S polymorphism in comparison with GG homozygotes (2.38 ± 1.79) and patients with GG + GT genotypes (2.28 ± 1.84). We also observed less prominent DAV (3.24 ± 1.71) in patients with TC + CC genotypes in the CFH Y402H polymorphism compared with TT homozygotes (3.83 ± 1.68).

Conclusions

Our findings suggest that retinal microcirculation appears to be associated with the genetic background, choroidal parameters, and clinical features of the patients with AMD.

Elucidation of Epigenetic Landscape in Coronary Artery Disease: A Review on Basic Concept to Personalized Medicine

Despite extensive clinical research and management protocols applied in the field of coronary artery diseases (CAD), it still holds the number 1 position in mortality worldwide. This indicates that we need to work on precision medicine to discover the diagnostic, therapeutic, and prognostic targets to improve the outcome of CAD. In precision medicine, epigenetic changes play a vital role in disease onset and progression. Epigenetics is the study of heritable changes that do not affect the alterations of DNA sequence in the genome. It comprises various covalent modifications that occur in DNA or histone proteins affecting the spatial arrangement of the DNA and histones. These multiple modifications include DNA/histone methylation, acetylation, phosphorylation, and SUMOylation. Besides these covalent modifications, non-coding RNAs-viz. miRNA, lncRNA, and circRNA are also involved in epigenetics. Smoking, alcohol, diet, environmental pollutants, obesity, and lifestyle are some of the prime factors affecting epigenetic alterations. Novel molecular techniques such as next-generation sequencing, chromatin immunoprecipitation, and mass spectrometry have been developed to identify important cross points in the epigenetic web in relation to various diseases. The studies regarding exploration of epigenetics, have led researchers to identify multiple diagnostic markers and therapeutic targets that are being used in different disease diagnosis and management. Here in this review, we will discuss various ground-breaking contributions of past and recent studies in the epigenetic field in concert with coronary artery diseases. Future prospects of epigenetics and its implication in CAD personalized medicine will also be discussed in brief.

Delicate Role of PD-L1/PD-1 Axis in Blood Vessel Inflammatory Diseases: Current Insight and Future Significance

Immune checkpoint molecules are the antigen-independent generator of secondary signals that aid in maintaining the homeostasis of the immune system. The programmed death ligand-1 (PD-L1)/PD-1 axis is one among the most extensively studied immune-inhibitory checkpoint molecules, which delivers a negative signal for T cell activation by binding to the PD-1 receptor. The general attributes of PD-L1's immune-suppressive qualities and novel mechanisms on the barrier functions of vascular endothelium to regulate blood vessel-related inflammatory diseases are concisely reviewed. Though targeting the PD-1/PD-L1 axis has received immense recognition-the Nobel Prize in clinical oncology was awarded in the year 2018 for this discovery-the use of therapeutic modulating strategies for the PD-L1/PD-1 pathway in chronic inflammatory blood vessel diseases is still limited to experimental models. However, studies using clinical specimens that support the role of PD-1 and PD-L1 in patients with underlying atherosclerosis are also detailed. Of note, delicate balances in the expression levels of PD-L1 that are needed to preserve T cell immunity and to curtail acute as well as chronic infections in underlying blood vessel diseases are discussed. A significant link exists between altered lipid and glucose metabolism in different cells and the expression of PD-1/PD-L1 molecules, and its possible implications on vascular inflammation are justified. This review summarizes the most recent insights concerning the role of the PD-L1/PD-1 axis in vascular inflammation and, in addition, provides an overview exploring the novel therapeutic approaches and challenges of manipulating these immune checkpoint proteins, PD-1 and PD-L1, for suppressing blood vessel inflammation.

The roles of ANRIL polymorphisms in coronary artery disease: a meta-analysis

Background: The relationship between antisense non-coding RNA (ncRNA) in the INK4 locus (ANRIL) polymorphisms and coronary artery disease (CAD) remains inconclusive. Thus, we conducted this meta-analysis to better evaluate the roles of ANRIL polymorphisms in CAD. Methods: Systematic literature search of PubMed, Medline, and Embase was performed to identify potential relevant articles. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to estimate the strength of association. Results: Fifteen studies were finally enrolled for analyses. Overall analyses suggested that rs1333040 (dominant model: P<0.0001; recessive model: P<0.0001; allele model: P<0.0001), rs1333049 (dominant model: P=0.02; allele model: P=0.02) and rs2383207 (additive model: P=0.004) polymorphisms were significantly associated with the risk of CAD. Further subgroup analyses showed that rs1333040, rs1333049, and rs2383207 polymorphisms were significantly correlated with the risk of CAD in East Asians, rs2383206 and rs10757274 polymorphisms were significantly correlated with the risk of CAD in West Asians, while rs2383206, rs10757274, and rs10757278 polymorphisms were significantly correlated with the risk of CAD in Caucasians. Conclusion: Our findings indicated that rs1333040, rs1333049, rs2383206, rs2383207, rs10757274, and rs10757278 polymorphisms might serve as genetic biomarkers of CAD in certain ethnicities.

Significant association between the endothelial lipase gene 584C/T polymorphism and coronary artery disease risk

Several studies have investigated a potential association between the endothelial lipase gene (LIPG) 584C/T polymorphism and susceptibility to coronary artery disease (CAD), but a uniform conclusion is yet to be reached. To better evaluate the true relationship between the LIPG 584C/T polymorphism and the risk of CAD, a meta-analysis of 14 case-control studies with 9731 subjects was performed. Relevant articles published through August 2020 were searched in the CNKI, PubMed, Embase and Web of Science databases. Thirteen articles, including 14 eligible case-control studies with 4025 cases and 5706 controls, were enrolled in the present meta-analysis. The Newcastle-Ottawa Scale (NOS) scores of the case-control studies ranged from 6 to 8. The pooled results indicated that there is a significant association between the LIPG 584C/T polymorphism and CAD in the homozygote comparison model and the allelic comparison model. Subgroup analyses revealed that the LIPG 584C/T mutation significantly decreased the risk of CAD in the subgroups of African, CAD, hospital-based (HB), and polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) populations in some genetic models. No publication bias was found in our meta-analysis, which certifies the robustness of the current meta-analysis. Trial sequential analysis (TSA) also confirmed the stability of our results. The results of our meta-analysis indicate that the LIPG 584C/T polymorphism plays a protective role in the incidence of CAD. More high-quality case-control studies on various ethnicities are needed to confirm our results.

GST null polymorphisms may affect the risk of coronary artery disease: evidence from a meta-analysis

Background

Whether glutathione S-transferase (GST) null polymorphisms, namely GSTM1 null, GSTP1 null and GSTT1 null polymorphisms, influence the risk of coronary artery disease (CAD) or not remains unclear. Thus, the authors performed a meta-analysis to more robustly estimate associations between GST null polymorphisms and the risk of CAD by integrating the results of previous publications.

Methods

Medline, Embase, Wanfang, VIP and CNKI were searched comprehensively for eligible studies, and 45 genetic association studies were finally selected to be included in this meta-analysis.

Results

We found that GSTM1 null polymorphism was significantly associated with the risk of CAD in overall population (OR = 1.37, p = 0.003) and mixed population (OR = 1.61, p = 0.004), GSTP1 null polymorphism was significantly associated with the risk of CAD in overall population (OR = 1.23, p = 0.03), whereas GSTT1 null polymorphism was significantly associated with the risk of CAD in overall population (OR = 1.23, p = 0.02), Caucasians (OR = 1.23, p = 0.02) and East Asians (OR = 1.38, p < 0.0001).

Conclusions

This meta-analysis demonstrated that GSTM1 null, GSTP1 null and GSTT1 null polymorphisms were all significantly associated with an increased risk of CAD.

Precision psychiatry with immunological and cognitive biomarkers: a multi-domain prediction for the diagnosis of bipolar disorder or schizophrenia using machine learning

Precision psychiatry is attracting increasing attention lately as a recognized priority. One of the goals of precision psychiatry is to develop tools capable of aiding a clinically informed psychiatric diagnosis objectively. Cognitive, inflammatory and immunological factors are altered in both bipolar disorder (BD) and schizophrenia (SZ), however, most of these alterations do not respect diagnostic boundaries from a phenomenological perspective and possess great variability in different individuals with the same phenotypic diagnosis and, consequently, none so far has proven to have the ability of reliably aiding in the differential diagnosis of BD and SZ. We developed a probabilistic multi-domain data integration model consisting of immune and inflammatory biomarkers in peripheral blood and cognitive biomarkers using machine learning to predict diagnosis of BD and SZ. A total of 416 participants, being 323, 372, and 279 subjects for blood, cognition and combined biomarkers analysis, respectively. Our multi-domain model performances for the BD vs. control (sensitivity 80% and specificity 71%) and for the SZ vs. control (sensitivity 84% and specificity 81%) pairs were high in general, however, our multi-domain model had only moderate performance for the differential diagnosis of BD and SZ (sensitivity 71% and specificity 73%). In conclusion, our results show that the diagnosis of BD and of SZ, and that the differential diagnosis of BD and SZ can be predicted with possible clinical utility by a computational machine learning algorithm employing blood and cognitive biomarkers, and that their integration in a multi-domain outperforms algorithms based in only one domain. Independent studies are needed to validate these findings.

The association between Matrix Metallo-proteinases-9 (MMP-9) gene family polymorphisms and risk of Coronary Artery Disease (CAD): a systematic review and meta-analysis

Background

We performed a systematic review and meta-analysis of the Matrix metalloproteinases (MMP)-9 (C1562T), MMP-9 (R279Q), MMP-9 (P574R) and MMP-9 (R668Q) polymorphisms and risk of Coronary Artery Disease (CAD).

Methods

After a systematic literature search, pooled odds ratio (OR) and their corresponding 95% confidence interval (CI) were used to evaluate the strength of the association.

Results

We identified 40 studies with 11,792 cases and 8280 controls for C1562T, 7 case-control studies with 5525 cases and 2497 controls for R279Q, 2 studies with 1272 cases and 785 controls for P574R, and 2 studies with 1272 cases and 785 controls for R668Q. MMP-9 (C1562T) polymorphism was associated with increased risk of CAD under dominant model (OR = 1.41, P < 0.001), recessive model (OR = 1.59, P < 0.001), allelic model (OR = 1.38, P < 0.001), TT vs. CC model (OR = 1.70, P < 0.001), and CT vs. CC model (OR = 1.35, P < 0.001). Moreover, the subgroup analysis based on the continent of the study populations in this SNP indicated strong significant association in Asians but not in Europeans. Subgroup analysis was not performed in Africa, America and Oceania, due to lack of sufficient data.

Conclusions

Our meta-analysis revealed that MMP-9 (C1562T) SNP conferred a susceptibility risk for CAD in the overall analysis and Asian population. The overall analysis and subgroup analysis of the other three SNPs reject the association between MMP-9 polymorphisms and the risk of CAD. Although the results should interpret with caution because of small sample size of included studies in these three SNPs.

A novel plasma lncRNA ENST00000416361 is upregulated in coronary artery disease and is related to inflammation and lipid metabolism

Coronary artery disease (CAD) is a serious threat to human health and a major cause of mortality worldwide. Long noncoding RNAs (lncRNAs) affect the occurrence and development of CAD via the regulation of cell proliferation and apoptosis, inflammatory responses and lipid metabolism. Screening methods and therapeutic strategies for CAD have been extensively studied. The present study analyzed clinical indexes of 187 patients with CAD and 150 healthy subjects. The data showed significant differences in diabetes mellitus, hypertension, high-density lipoprotein level and smoking history between the CAD group and the control group. A series of differentially expressed lncRNAs were detected in the plasma samples of three patients with CAD by high-throughput sequencing. Reverse transcription-quantitative (RT-q)PCR data revealed that the expression level of the novel lncRNA ENST00000416361 was ~2.3-fold higher in the plasma of 50 patients with CAD compared with the 50 control subjects. Receiver operating characteristic (ROC) curves were generated, and the area under the ROC curve was 0.7902. Knockdown of ENST00000416361 in human umbilical vein endothelial cells markedly downregulated interleukin-6 and tumor necrosis factor-α levels. In addition, sterol regulatory element binding transcription factor (SREBP)1 and SREBP2 were upregulated in patients with CAD, and they were positively correlated with the expression of ENST00000416361. RT-qPCR further demonstrated that knockdown of ENST00000416361 led to the downregulation of SREBP1 and SREBP2. Overall, the novel lncRNA ENST00000416361 may be associated with CAD-induced inflammation and lipid metabolism, and it may serve as a potential biomarker for CAD.

SCD rs41290540 single-nucleotide polymorphism modifies miR-498 binding and is associated with a decreased risk of coronary artery disease

Background

Atherosclerosis is the primary cause of coronary artery disease (CAD), and stearoyl‐CoA desaturase (SCD) is associated with atherosclerosis. However, the associations between variants of SCD and CAD have not yet been decided.

Methods

This study analyzed SCD rs41290540 single‐nucleotide polymorphism (SNP) in the 3′‐untranslated region for an association with a risk of CAD among the Chinese Han population. CAD patients and controls were genotyped for SNP rs41290540 in SCD by SNaPshot. The binding affinity of miR‐498 to rs41290540 was determined by a luciferase assay, and SCD expression was assessed using Western blot.

Results

A total of 969 CAD patients and 1,095 control subjects were involved in this study. The SCD rs41290540CC genotype is associated with a decreased risk of CAD compared with the AA genotype. Furthermore, the CC genotype is associated with lower serum total cholesterol (TC). Western blot analysis demonstrated that miR‐498 suppressed the expression of SCD. A luciferase assay confirmed that rs41290540 A>C variation in the SCD 3′UTR inhibits miR‐498 binding.

Conclusion

This study demonstrates that the SCD rs41290540 may be associated with a decreased risk of CAD, lower serum TC, and decreased miR‐498 binding.

Pharmacoeconomic study of rivaroxaban and acetylsalicylic acid combination use in patients with coronary artery disease and/or peripheral artery disease

Aim. Comparative assessment of the economic results of rivaroxaban/acetylsalicylic acid (ASA) combination and ASA monotherapy use in patients with coronary artery disease (CAD) and/or peripheral artery disease (PAD).

Material and methods. Based on the results of a large international multicenter, placebo-controlled, randomized clinical trial COMPASS, a model that evaluated the clinical outcomes of rivaroxaban/ASA combination and ASA monotherapy was formed. The economic results using cost and cost-effectiveness analyses, and budget impact analysis for two years were also calculated. The analysis took into account both direct medical costs (expenses for treatment, hospitalization due to complications, rehabilitation) financed under the compulsory health insurance, as well as indirect costs (loss of GDP due to disability or death). The calculation was made by accounting 100,000 patients with CAD and/or PAD.

Results. Modeling of clinical outcomes per 100,000 patients based on COMPASS results showed a decrease of stroke prevalence by 649 cases, myocardial infarction — 301 cases, amputations — 478 cases, cardiovascular mortality — 476 cases when using rivaroxaban/ASA combination compared with ASA monotherapy. The cost-effectiveness analysis showed that rivaroxaban/ASA combination has greater clinical efficacy and lower costs in comparison with ASA monotherapy. Budget impact analysis showed that the switching of 100,000 patients with CAD and/or PAD from ASA monotherapy to rivaroxaban/ASA combination leads to budget savings of 1,026 million rubles in two years. This is due to a decrease in the incidence of cardiovascular events.

Conclusion. It was found that the use of a rivaroxaban/ASA combination in comparison with ASA monotherapy in patients with CAD and/or PAD can both decrease a number of complications and lead to cost savings, despite the initially higher cost pharmacotherapy.

Hsa-miR-584-5p as a novel candidate biomarker in Turkish men with severe coronary artery disease

Coronary artery disease (CAD) is still the preliminary cause of mortality and morbidity in the developed world. Identification of novel predictive and therapeutic biomarkers is crucial for accurate diagnosis, prognosis and treatment of the CAD. The aim of this study was to detect novel candidate miRNA biomarker that may be used in the management of CAD. We performed miRNA profiling in whole blood samples of angiographically confirmed Turkish men with CAD and non-CAD controls with insignificant coronary stenosis. Validation of microarray results was performed by qRT-PCR in a larger cohort of 62 samples. We subsequently assessed the diagnostic value of the miRNA and correlations of miRNA with clinical parameters. miRNA-target identification and network analyses were conducted by Ingenuity Pathway Analysis (IPA) software. Hsa-miR-584-5p was one of the top significantly dysregulated miRNA observed in miRNA microarray. Men-specific down-regulation (p = 0.040) of hsa-miR-584-5p was confirmed by qRT-PCR. ROC curve analysis highlighted the potential diagnostic value of hsa-miR-584-5p with a power area under the curve (AUC) of 0.714 and 0.643 in men and in total sample, respectively. The expression levels of hsa-miR-584-5p showed inverse correlation with stenosis and Gensini scores. IPA revealed CDH13 as the only CAD related predicted target for the miRNA with biological evidence of its involvement in CAD. This study suggests that hsa-miR-584-5p, known to be tumor suppressor miRNA, as a candidate biomarker for CAD and highlighted its putative role in the CAD pathogenesis. The validation of results in larger samples incorporating functional studies warrant further research.

Effects of ADIPOQ polymorphisms on individual susceptibility to coronary artery disease: a meta-analysis

Whether adiponectin (ADIPOQ) polymorphisms affect individual susceptibility to coronary artery disease (CAD) remains controversial. Therefore, we performed this meta-analysis to better analyse associations between ADIPOQ polymorphisms and CAD. PubMed, Web of Science, Embase and CNKI were searched for eligible studies. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. Totally, 51 studies were eligible for analyses. In overall analyses, significant associations with the susceptibility to CAD were detected for rs266729 (overdominant model: p= 0.03, OR = 1.11, 95% CI 1.01–1.22), rs822395 (recessive model: p= 0.007, OR = 1.21, 95% CI 1.05–1.40) and rs2241766 (dominant model: p= 0.0009, OR = 0.82, 95% CI 0.73–0.92; recessive model: p= 0.04, OR = 1.29, 95% CI 1.02–1.64; allele model: p< 0.0001, OR = 0.80, 95% CI 0.73–0.88) polymorphisms. Further subgroup analyses by ethnicity revealed that rs1501299 polymorphism was significantly associated with the susceptibility to CAD in East Asians, while rs2241766 polymorphism was significantly associated with the susceptibility to CAD in Caucasians, East Asians and South Asians. In summary, our findings indicated that rs266729, rs822395, rs1501299 and rs2241766 polymorphisms were all significantly associated with the susceptibility to CAD in certain populations.

Associations of leptin and leptin receptor genetic variants with coronary artery disease: a meta-analysis

Background: Some pilot studies already tried to investigate potential associations of leptin (LEP) and LEP receptor (LEPR) variants with coronary artery disease (CAD). However, the results of these studies were not consistent. Thus, we performed the present meta-analysis to explore associations between LEP/LEPR variants and CAD in a larger pooled population.

Methods: Systematic literature research of PubMed, Web of Science, Embase and CNKI was performed to identify eligible case–control studies on associations between LEP/LEPR variants and CAD. The initial search was conducted in September 2018 and the latest update was performed in December 2018. Q test and I² statistic were employed to assess between-study heterogeneities. If probability value(P-value) of Q test was less than 0.1 or I² was greater than 50%, random-effect models (REMs) would be used to pool the data. Otherwise, fixed-effect models (FEMs) would be applied for synthetic analyses.

Results: A total of ten studies published between 2006 and 2018 were eligible for analyses (1989 cases and 2601 controls). Pooled analyses suggested that LEP rs7799039 variant was significantly associated with CAD under over-dominant model (P=0.0007, odds ratio (OR) = 1.36, 95% confidence interval (CI): 1.14–1.63, I² = 41%, FEM) in overall population, and this significant finding was further confirmed in East Asians in subsequent subgroup analyses. However, no positive findings were observed for LEPR rs1137100 and rs1137101 variants in overall and subgroup analyses.

Conclusions: Our meta-analysis suggested that LEP rs7799039 variant might affect individual susceptibility to CAD.

Hypercysteinemia, A Potential Risk Factor for Central Obesity and Related Disorders in Azores, Portugal

In Azores, the standardized mortality rate for coronary artery disease (CAD) is nearly the double when compared to mainland Portugal. The aim of this study was to compare the prevalence of conventional CAD risk factors, as well as the plasma aminothiol profile (and its major determinants), between two groups of healthy subjects from Ponta Delgada (in Azores) and Lisbon (in mainland) cities, searching for precocious biomarker(s) of the disease. The study groups consisted of 101 healthy volunteers from Ponta Delgada (PDL) and 121 from Lisbon, aged 20–69 years. No differences in the prevalence of classical CAD risk factors were found between the study groups, except in physical inactivity and related central obesity, which were both higher in PDL men than in those from Lisbon. Hypercysteinemia, which seems to result from sulfur-rich amino acid diets and/or vitamin B₁₂ malabsorption, revealed to be significantly more prevalent in PDL vs. Lisbon subjects (18% vs. 4%, P=0.001), namely, in male gender. Moreover, plasma Cys levels predicted waist circumference (β coefficient = 0.102, P=0.032) and concomitant central obesity and were also associated with insulin resistance. Nevertheless, hyperhomocysteinemia prevalence was similar in both groups, despite the fact that PDL subjects exhibited a higher rate of vitamin B₁₂ deficiency compared to those from Lisbon (19% vs. 6%, P=0.003). Owing to the nature of this study design, a cause-effect relationship between high plasma Cys levels and central obesity or CAD risk could not be derived, but results strongly suggest that hypercysteinemia is a potential risk factor for metabolic disorders, i.e., obesity and insulin resistance, and CAD in Azores, a hypothesis that asks for confirmation through further large prospective studies.

Associations between ADIPOQ polymorphisms and coronary artery disease: a meta-analysis

Background

Whether adiponectin (ADIPOQ) polymorphisms are associated with coronary artery disease (CAD) remain controversial. Therefore, we performed this meta-analysis to better explore potential roles of ADIPOQ polymorphisms in CAD.

Methods

PubMed, Web of Science, Embase and CNKI were searched for eligible studies. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated.

Results

Totally 45 studies were included for pooled analyses. A significant association with the susceptibility to CAD was detected for rs2241766 (dominant model: p = 0.0009, OR = 0.82, 95%CI 0.73–0.92; recessive model: p = 0.04, OR = 1.29, 95%CI 1.02–1.64; allele model: p < 0.0001, OR = 0.80, 95%CI 0.73–0.88) polymorphism in overall population. Further subgroup analyses by ethnicity showed that rs1501299 polymorphism was significantly associated with the susceptibility to CAD in East Asians, whereas rs2241766 polymorphism was significantly associated with the susceptibility to CAD in Caucasians, East Asians and South Asians.

Conclusions

Our findings indicated that rs1501299 and rs2241766 polymorphisms both affect the susceptibility to CAD in certain populations.

Changes in interleukin-27 levels in patients with acute coronary syndrome and their clinical significance

Background

This study evaluated changes in interleukin (IL)-27 levels in patients with acute coronary syndrome (ACS) and their influence on Th1, Th2, and Th17 cells.

Methods

Serum levels of IL-27, IL-4, IL-17, and interferon (IFN)-γ in healthy subjects as well as patients with ACS, including stable angina pectoris (SA), unstable angina pectoris (UA), and acute myocardial infarction (AMI), were determined using an enzyme-linked immunosorbent assay. The proportions of Th1, Th2, and Th17 cells among peripheral blood mononuclear cells (PBMCs), were measured using flow cytometry, after incubation with phorbol myristate acetate (PMA) for 4 h. The proportions of Th1 and Th17 cells among PBMCs in AMI and UA were detected after stimulation with IL-27 or PMA + IL-27 for 4, 8, and 12 h.

Results

Serum levels of IL-27 in patients with AMI and UA were significantly lower than those in SA and control groups, while serum levels of IL-17 and IFN-γ in AMI and UA groups were dramatically increased compared to those in SA and healthy control groups. However, there were no statistically significant differences in serum IL-4. The proportions of Th1 and Th17 cells among PBMCs were statistically significantly higher in the AMI and UA groups than those in the SA and control groups, while there was no statistically significant difference in the proportion of Th2 cells among different groups. For patients with AMI and UA, the effect of co-stimulation of PBMCs with PMA and IL-27 was not significantly different from that of PMA single stimulation, while PMA + IL-27 co-stimulation lowered the Th17 cell proportion significantly compared to PMA single stimulation.

Discussion

Compared to SA patients and healthy controls, patients with ACS (AMI + UA) had lower serum levels of IL-27 and higher proportions of PBMC Th1 and Th17 cells, which could be attributed to the inhibitory effects of IL-27 on the proliferation of Th17 cells. These results indicated that IL-27 could be a novel therapeutic target in ACS patients.

Mendelian randomization evaluation of causal effects of fibrinogen on incident coronary heart disease

BACKGROUND

Fibrinogen is an essential hemostatic factor and cardiovascular disease risk factor. Early attempts at evaluating the causal effect of fibrinogen on coronary heart disease (CHD) and myocardial infraction (MI) using Mendelian randomization (MR) used single variant approaches, and did not take advantage of recent genome-wide association studies (GWAS) or multi-variant, pleiotropy robust MR methodologies.

METHODS AND FINDINGS

We evaluated evidence for a causal effect of fibrinogen on both CHD and MI using MR. We used both an allele score approach and pleiotropy robust MR models. The allele score was composed of 38 fibrinogen-associated variants from recent GWAS. Initial analyses using the allele score used a meta-analysis of 11 European-ancestry prospective cohorts, free of CHD and MI at baseline, to examine incidence CHD and MI. We also applied 2 sample MR methods with data from a prevalent CHD and MI GWAS. Results are given in terms of the hazard ratio (HR) or odds ratio (OR), depending on the study design, and associated 95% confidence interval (CI). In single variant analyses no causal effect of fibrinogen on CHD or MI was observed. In multi-variant analyses using incidence CHD cases and the allele score approach, the estimated causal effect (HR) of a 1 g/L higher fibrinogen concentration was 1.62 (CI = 1.12, 2.36) when using incident cases and the allele score approach. In 2 sample MR analyses that accounted for pleiotropy, the causal estimate (OR) was reduced to 1.18 (CI = 0.98, 1.42) and 1.09 (CI = 0.89, 1.33) in the 2 most precise (smallest CI) models, out of 4 models evaluated. In the 2 sample MR analyses for MI, there was only very weak evidence of a causal effect in only 1 out of 4 models.

CONCLUSIONS

A small causal effect of fibrinogen on CHD is observed using multi-variant MR approaches which account for pleiotropy, but not single variant MR approaches. Taken together, results indicate that even with large sample sizes and multi-variant approaches MR analyses still cannot exclude the null when estimating the causal effect of fibrinogen on CHD, but that any potential causal effect is likely to be much smaller than observed in epidemiological studies.

Identifying genetic markers associated with susceptibility to cardiovascular diseases

The development of cardiovascular diseases (CVDs) is due to a complex interaction between the genome and the environment. Understanding how genetic differences in individuals contribute to their susceptibility to CVDs can help guide practitioners to give the best advice to achieve a favorable outcome for the patient. As genome technologies evolve, genotyping of individuals could be available to all patients using a simple saliva test. Large-scale genome-wide association studies and meta analyses have provided powerful insights into polymorphisms that may be predictive of disease and an individual's response to certain nutrients, but moving forward it is imperative that these insights can be applied in the medical setting to reduce the incidence and mortality of CVDs.

Cardiovascular diseases (CVDs) are the leading cause of death worldwide, and while most CVDs can be prevented by adopting a healthy lifestyle, this is only half the story. Evidence suggests changes in an individual's genes or DNA can cause some form of CVDs, highlighting a complex relationship between genes and the environment. Genotyping, a process used to determine genetic differences within an individual's DNA, can provide doctors with relevant information to identify individuals who are at high risk of developing CVDs. This would allow treatment to begin early and encourage individuals to adopt a healthy lifestyle to reduce their risk.

Association of Increased Levels of lncRNA H19 in PBMCs with Risk of Coronary Artery Disease

Objective

Considerable research shows that long non-coding RNAs, those longer than 200 nucleotides, are involved in several human diseases such as various cancers and cardiovascular diseases. Their significant role in regulating the function of endothelial cells, smooth muscle cells, macrophages, vascular inflammation, and metabolism indicates the possible effects of lncRNAs on the progression of atherosclerosis which is the most common underlying pathological process responsible for coronary artery disease (CAD). The aim of present study was to assess whether the expression of the lnc RNA H19 was associated with a susceptibility to CAD by evaluating the expression level of H19 in the peripheral blood.

Materials and Methods

A case-control study of 50 CAD patients and 50 age and sex-matched healthy controls was undertaken to investigate whether the H19 lncRNA expression level is associated with a CAD using Taqman Real-Time polymerase chain reaction (PCR).

Results

The subsequent result indicated that the H19 lncRNA was over-expressed in CAD patients in comparison with the controls. However, it was not statistically significant. This overexpression may be involved in coronary artery disease progression.

Conclusion

We report here, the up-regulation of H19 lncRNA in the whole blood of CAD patients and suggest a possible role for H19 in the atherosclerosis process and its consideration as novel biomarker for CAD.

Comparative transcriptomics reveals specific responding genes associated with atherosclerosis in rabbit and mouse models

Mouse and rabbit are frequently employed species for atherosclerosis research. With respect to modeling human atherosclerosis, it has been observed that variations in phenotype under commonly used atherogenic conditions are partial or no congruence between two species. However, genome-wide molecular variations are still lacking. To understand the differences between rabbit and mouse in developing atherosclerosis, here from aspect of orthologs, we compared the genome-wide expression profiles of two species under the same atherosclerosis driven factors: high-fat diet or LDLR deficiency. Our results illuminated that: 1) LDLR-deficiency induced different gene expression changes in rabbit and mouse. WHHL rabbit had more significantly differential expressed genes and the most of genes were down-regulated. 2) Some genes and functions were commonly dysregulated in high-fat fed rabbit and mouse models, such as lipid metabolism and inflammation process. However, high-fat intake in rabbit produced more differentially expressed genes and more serious functional effects. 3) Specific differential expression genes were revealed for rabbit and mouse related with high-fat intake. In the aspect of lipoprotein metabolism, APOA4 and APOB was the major responding gene in rabbit and mice, respectively. The expression change of APOA4 and APOB in human atherosclerosis was more similar to rabbit, and therefore rabbit might be a better animal model for investigating human lipoprotein metabolism related diseases. In conclusion, our comparative transcriptome analysis revealed species-specific expression regulation that could partially explain the different phenotypes between rabbit and mouse, which was helpful for model selection to study atherosclerosis.

Integrative analysis of promising molecular biomarkers and pathways for coronary artery disease using WGCNA and MetaDE methods

The present study aimed to examine the molecular mechanisms of coronary artery disease (CAD). A total of four microarray datasets (training dataset no. GSE12288; validation dataset nos. GSE20680, GSE20681 and GSE42148) were downloaded from the Gene Expression Omnibus database, which included CAD and healthy samples. Weighted gene co-expression network analysis was applied to identify highly preserved modules across the four datasets. Differentially expressed genes (DEGs) with significant consistency in the four datasets were selected using the MetaDE method. The overlapping genes amongst the DEGs with significant consistency and in the preserved modules were used to construct a protein-protein interaction (PPI) network, followed by functional enrichment analysis. A total of 11 modules were established in the training dataset, and five of them were highly preserved across all four datasets, including 873 genes. There was a total of 836 DEGs with significant consistency in the four datasets. A total of 177 overlapping genes were selected, with which a PPI network was constructed. The top five genes of the PPI network were identified based on their degrees: LCK proto-oncogene, Src family tyrosine kinase (LCK), euchromatic histone lysine methyltransferase 2 (EHMT2), inosine monophosphate dehydrogenase 2 (IMPDH2), protein phosphatase 4 catalytic subunit (PPP4C) and ζ-chain of T-cell receptor associated protein kinase 70 (ZAP70). Genes in the PPI network were significantly involved in a number of Kyoto Encyclopedia Genes and Genomes pathways, including the ‘natural killer cell mediated cytotoxicity’, ‘primary immunodeficiency’ and ‘Fc gamma R-mediated phagocytosis’ pathways. LCK, EHMT2, IMPDH2, PPP4C and ZAP70 are suggested as promising molecular biomarkers for CAD. The ‘natural killer cell mediated cytotoxicity’, ‘primary immunodeficiency’ and ‘Fc gamma R-mediated phagocytosis’ pathways may serve important roles in CAD.

NUTRITION AS THE RISK FACTOR FOR CARDIOVASCULAR PATHOLOGY FROM EPIDEMIOLOGICAL PERSPECTIVE

Nutrition is a crucial element of patient management in cardiovascular disorders. Recently, a variety of diets considered, for prevention of obesity as for risk reduction of severe cardiovascular pathology. In most countries there are ongoing studies on various diet models among the population. The review is focused on the range of large epidemiological trials of nutrition in cardiovascular pathology. The tasks discussed and the main results, stronger and weaker aspects of the works represented.

Evaluation of a Clinical Pharmacist Intervention on Clinical and Drug-Related Problems Among Coronary Heart Disease Inpatients: A pre-experimental prospective study at a general hospital in Indonesia

Objectives

This study aimed to evaluate the role of a clinical pharmacist intervention in decreasing subsequent clinical and drug-related problems (DRPs) among coronary heart disease (CHD) inpatients with at least one previous DRP.

Methods

This pre-experimental study with a pre-post design was carried out from January to April 2017 among inpatients with at least one previous DRP at a general hospital in Tangerang District, Banten, Indonesia. Clinical and DRPs were documented prospectively by a clinical pharmacist, with DRPs classified using Version 6.2 of the DRP classification scheme of the Pharmaceutical Care Network Europe Foundation. The intervention consisted of a discussion of identified DRPs with physicians, patients, pharmaceutical logistics clerks, nurses and nutritionists. Following this, any subsequent clinical and DRPs were re-identified and further interventions were conducted as necessary.

Results

A total of 75 inpatients were included in the study. Pre-intervention, there were 443 DRPs and 202 clinical problems. The most frequent DRPs were adverse drug reactions (52.6%), followed by drug effects (41.8%). Most DRPs were of moderate severity and would have resulted in moderate consequences had the pharmacist not intervened. The interventions resulted in a significant reduction in the number of DRPs, type of DRPs and number of clinical problems (P <0.05 each). Patients with complications were 26.047 times more likely to have no reduction or an increased number of clinical problems compared to patients without complications (P <0.05).

Conclusion

Clinical pharmacist interventions were found to reduce subsequent DRPs and clinical problems among CHD patients with at least one previous DRP.

Association between Serum Kalirin Levels and the KALRN gene rs9289231 Polymorphism in Early-Onset Coronary Artery Disease

Background: Recently, rs9289231 genetic variations of kalirin (KALRN) have been introduced as potential genetic markers for coronary artery disease (CAD). However, the influence of KALRN single-nucleotide polymorphisms (SNPs) on serum kalirin levels has not been investigated in CAD patients so far. Thus, the present study aimed to survey whether SNP T>G (rs9289231) was associated with the risk of early-onset CAD and serum kalirin levels among the study subjects. Methods: The rs9289231 polymorphism of the KALRN was genotyped in 512 subjects (61.5% male, mean age=46.3±7.1 y), comprising 268 subjects with angiographically diagnosed CAD and 244 controls using an HRM assay. Also, the levels of serum kalirin were compared between 133 CAD subjects and 123 controls using a sandwich ELISA assay. Results: The CAD subjects had more frequently GG genotypes than the controls. The odds ratio (OR) remained significant after adjustment for known CAD risk factors (OR=4.13, 95% CI: 2.48-9.10; P<0.001). A significant difference was also observed in that the G allele was more frequent among the CAD subjects. The G allele at the rs9289231 polymorphism was associated with a higher risk of CAD (OR=2.11, 95% CI: 1.27-2.59; P=0.001). The mean kalirin level of the CAD patients was higher than that of the controls (P=0.041). No significant correlation was seen in the different genotypes with serum kalirin levels. Conclusion: The KALRN rs9289231 T>G variant was considerably related with an increased risk of early-onset CAD. High kalirin levels were found in young CAD patients compared to the control subjects, with the levels not affected by the different genotypes of rs9289231.

Evaluation of the Role of -137G/C Single Nucleotide Polymorphism (rs187238) and Gene Expression Levels of the IL-18 in Patients with Coronary Artery Disease

Objectives

Interleukin-18 (IL-18) is a proinflammatory and proatherogenic cytokine, and its genetic variations may contribute to the development of coronary artery disease (CAD). We sought to investigate the role of -137G/C polymorphism and gene expression levels of IL-18 in patients with CAD.

Methods

The study population included 100 patients with angiographically proven CAD and 100 matched controls. Total RNA and DNA were extracted from leukocytes using appropriate kits. The genotype of -137G/C polymorphism and gene expression level of IL-18 was determined using allele-specific polymerase chain reaction (PCR) and real-time (RT)-PCR assay, respectively.

Results

The genotypic and allelic distribution of IL-18 -137G/C polymorphism was not significantly different between the two groups (p > 0.050). Moreover, the -137G/C polymorphism did not increase the risk of CAD in dominant and recessive genetic models (p > 0.050). However, subgroup analysis of CAD patients revealed that the IL-18 -137G/C polymorphism was significantly associated with increased risk of CAD in hypertensive patients (odds ratio (OR) = 7.51; 95% confidence interval (CI): 1.24-25.17; p = 0.019) and smokers (OR = 4.90; 95% CI: 1.21-19.70; p = 0.031) but not in the diabetic subpopulation (p = 0.261). The genotype distribution of IL-18 -137G/C genetic polymorphism was significantly different among patients with one, two, and three stenotic vessels (p < 0.050). The gene expression level of IL-18 was significantly higher in the CAD group than the control group (p < 0.001). Moreover, the carriers of CC genotype had significantly lower gene expression levels of IL-18 than carriers of GG genotype (p < 0.050).

Conclusions

The -137G/C polymorphism of IL-18 may be associated with the CAD risk in hypertensive and smoker subgroup of CAD patients. The -137G/C polymorphism seems to play an important role in determining the severity of CAD. Increased IL-18 gene expression level is a significant risk factor for the development of CAD. The CC genotype of -137G/C polymorphism is associated with lower IL-18 gene expression levels.

CDKN2BAS polymorphisms are associated with coronary heart disease risk a Han Chinese population

The goal of our study was to determine whether CDKN2BAS polymorphisms are associated with coronary heart disease (CHD) risk in a Han Chinese population. Eight SNPs were genotyped in 676 men and 465 women. We used χ² tests and genetic model analyses to evaluate associations between the SNPs and CHD risk. We found that rs10757274 was associated with an increased risk of CHD in both men (allele G: Odds ratio [OR] = 1.30, 95% confidence interval [CI]: 1.05-1.61, P = 0.018; codominant model: P = 0.042; recessive model: OR = 1.70, 95% CI: 1.10-2.62, P = 0.016; log-additive model: OR = 1.34, 95% CI: 1.05-1.71, P = 0.019) and women (dominant model: OR = 2.26, 95% CI: 1.28-3.99, P = 0.004). In addition, rs7865618 was associated with an 8.10-fold increased risk of CHD in women under a recessive model (OR = 8.10, 95% CI: 1.74-37.68, P = 0.006). Interestingly, the haplotype AA (rs10757274 and rs1333042) of CDKN2BAS was associated with decreased the risk of CHD in men (OR = 0.72, 95% CI: 0.55 - 0.95, P = 0.022).

Cytochrome P450 family 4 subfamily F member 2 (CYP4F2) rs1558139, rs2108622 polymorphisms and susceptibility to several cardiovascular and cerebrovascular diseases

Background

Inconsistent conclusions have been reported for the genetic relationship between CYP4F2 (Cytochrome P450 Family 4 Subfamily F Member 2) polymorphisms and the susceptibility to cardiovascular and cerebrovascular diseases.

Methods

We performed a meta-analysis to assess the potential role of rs1558139 C/T and rs2108622 G/A polymorphisms of CYP4F2 in the risks of cardiovascular and cerebrovascular diseases. The retrieval of four databases, including PubMed, Web of Science (WOS), China National Knowledge Infrastructure (CNKI) and WANFANG DATA, was conducted. Mantel-Haenszel statistics for association test, Cochran’s Q statistic, sensitivity analysis for heterogeneity assessment, and Begg’s/Egger’s tests for publication bias evaluation were performed under allele, homozygote, heterozygote, dominant, and recessive models, respectively.

Results

A total of 597 articles were initially obtained by database searching, and twenty eligible articles were finally included. For rs1558139, a decreased risk of cardiovascular and cerebrovascular diseases was observed in the overall meta-analysis and in “hypertension”, “population-based” and “male” subgroups under models of T vs. C, CT vs. CC, and CT + TT vs. CC [all P values in association tests < 0.05, odds ratio (OR) < 1]. For rs2108622, a decreased coronary artery disease (CAD) risk was observed in the subgroup meta-analysis based on disease type under all genetic models (all P values in association tests < 0.05, OR< 1). Begg’s/Egger’s tests excluded the potential publication bias, while sensitivity analysis data supported the stability of the above results.

Conclusion

C/T genotype of CYP4AF2 rs1558139 may be linked to the decreased risk of hypertension in the male patients of Asian populations, while CYP4F2 rs2108622 is likely associated with reduced susceptibility to CAD.

Electronic supplementary material

The online version of this article (10.1186/s12872-018-0763-y) contains supplementary material, which is available to authorized users.

Genetic polymorphisms of the CYP1A1, GSTM1, and GSTT1 enzymes and their influence on cardiovascular risk and lipid profile in people who live near a natural gas plant

The aim of this cross-sectional study was to see whether genetic polymorphisms of the enzymes CYP1A1, GSTM1, and GSTT1 are associated with higher risk of coronary artery disease (CAD) and whether they affect lipid profile in 252 subjects living near a natural gas plant, who are likely to be exposed to polycyclic aromatic hydrocarbons (PAHs). Fasting serum concentrations of biochemical parameters were determined with standard methods. Genetic polymorphisms of CYP 1A1 rs4646903, rs1048943, rs4986883, and rs1799814 were genotyped with polymerase chain reaction-restriction fragment length polymorphism (PCR-RFPL), while GSTM1 and GSTT1 deletions were detected with multiplex PCR. Cardiovascular risk was assessed with Framingham risk score, and the subjects divided in two groups: >10% risk and ≤10% risk. The two groups did not differ in the genotype frequencies. MANCOVA analysis, which included lipid parameters, glucose, and BMI with sex, age, hypertension and smoking status as covariates, showed a significant difference between the GSTT1*0 and GSTT1*1 allele carriers (p=0.001). UNIANCOVA with same covariates showed that total cholesterol and triglyceride levels were significantly higher in GSTT1*1 allele carriers than in GSTT1*0 carriers (p<0.001 and p=0.006, respectively). Our findings suggest that CYP1A1, GSTM1, and GSTT1 polymorphisms are not associated with the higher risk of CAD, but that GSTT1 affects lipid profile.

Association between PPAP2B gene polymorphisms and coronary heart disease susceptibility in Chinese Han males and females

Little is known about gender-related differences in the association between PPAP2B single nucleotide polymorphisms (SNPs) and coronary heart disease (CHD) in Chinese Han males and females. We therefore conducted a case-control study with 456 cases and 685 healthy controls divided into male and female subgroups. Five PPAP2B polymorphisms (SNPs) were selected and genotyped using Sequenom Mass-ARRAY technology. Odds ratios (OR) and 95% confidence intervals (CIs) were calculated using unconditional logistic regression adjusting for age and gender. Allelic model analysis revealed that for PPAP2B rs1759752, allele frequency distributions differed between cases and controls in the male subgroup (p = 0.015, OR: 1.401, 95%CI: 1.066–1.481). Genetic model analysis revealed that in the male subgroup, rs1759752 was associated with increased CHD risk in the dominant model (p = 0.035) and overdominant model (p = 0.045). In the female subgroup, rs12566304 was associated with a decreased CHD risk in the codominant model (p = 0.038) and overdominant model (p = 0.031). Additionally, the “GC” haplotypes of rs1759752 and rs1930760 were protective against CHD in males. These observations shed new light on gender-related differences in the association between PPAP2B gene polymorphisms and CHD susceptibility in the Chinese Han population.

A clinical-genetic approach to assessing cardiovascular risk in patients with CKD

Background

Coronary heart disease (CHD) is the primary cause of death in individuals with chronic kidney disease (CKD), but current equations for assessing coronary risk have low accuracy in this group. We have reported that the addition of a genetic risk score (GRS) to the Framingham risk function improved its predictive capacity in the general population. The aims of this study were to evaluate the association between this GRS and coronary events in the CKD population and to determine whether the addition of the GRS to coronary risk prediction functions improves the estimation of coronary risk at the earliest possible stages of kidney disease.

Methods

A total of 632 CKD patients, aged 35–74 years, who had Stage 4–5 CKD, were on dialysis, had a functioning renal transplant or had returned to dialysis after transplant failure were included and followed up for a mean of 9.3 years. The transitions between disease states and the development of coronary events were registered. The increase in predictive ability that was obtained by including the GRS was measured as the improvement in the C-statistic and as the net reclassification index.

Results

The GRS was independently associated with the risk of CHD (hazards ratio 1.34; 95% confidence interval 1.04–1.71; P = 0.022), especially in Stages 4 and 5 CKD, and kidney transplant patients. A coronary risk prediction function that incorporated chronic kidney disease (CKD) disease state, age, sex and the GRS had significantly greater predictive capacity (AUC 70.1, P = 0.01) and showed good reclassification (net reclassification improvement 28.6).

Conclusion

This new function, combining genetic and clinical data, identifies CKD patients with a high risk of coronary events more accurately, allowing us to prevent such events more effectively.

Association analysis of rs1049255 and rs4673 transitions in p22phox gene with coronary artery disease: A case-control study and a computational analysis

BACKGROUND

The p22phox gene encodes the main subunit of NADH/NADPH-oxidase. This enzyme is expressed in smooth muscle cells of arteries, and it produces the reactive oxygen species. On the other hand, oxidative stress plays a main role in the pathogenesis of coronary artery disease (CAD).

AIM

The aim of this study is to evaluate the association between rs4673 and rs1049255 polymorphisms of p22phox gene with CAD in an Iranian population which was followed with a computational analysis approach.

METHODS

In a cross-sectional study, we collected blood samples of 302 Iranian Caucasian including 143 patients and 159 healthy controls. Genotype of the polymorphisms was detected through PCR-RFLP method. A computational analysis was also performed using SNAP, Polyphen-2, Chou-Fasman, RNAsnp, and miRNA SNP databases.

RESULTS

Data of case control study demonstrated that CT genotype (R = 1.84, 95% CI = 1.13-3.00, p = 0.014) and T allele (OR = 1.53, 95% CI = 1.09-2.15, p = 0.013) of rs4673 polymorphism, have a significant association with enhanced risk of CAD. But rs1049255 analysis demonstrated the absence of such an association with CAD. Indeed, in silico data analysis demonstrated that rs4673 transition could impact on function of p22phox protein (SNAP score 56, expected accuracy 75%; Polyphen-2 score 0.99, sensitivity 0.09, specificity 0.99). Data derived from miRNA SNP database demonstrated that rs1049255 polymorphism increases the affinity of attachment between has-miR-3689a-3b with 3'-UTR of p22phox gene.

CONCLUSION

Our data demonstrated that rs4673 transition may be involved in susceptibility to CAD and could be applied as a potential biomarker for this disease.

Association between microRNA polymorphisms and coronary heart disease : A meta-analysis

The association between microRNA polymorphisms (miR polymorphisms) and coronary heart disease (CHD) risk has been studied intensively, but the results have been conflicting. Therefore, we conducted the present meta-analysis to obtain a more conclusive answer. We searched for eligible articles in PubMed, MEDLINE, EMBASE, Scopus, and CNKI. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to identify any potential associations. Ten case-control studies including 5,292 CHD patients and 5,446 control subjects were analyzed. The overall meta-analysis results showed that the miR-146a rs2910164 polymorphism, the miR-196a2 rs11614913 polymorphism, and the miR-499 rs3746444 polymorphism were all significantly associated with CHD risk in certain genetic models. Besides, the C allele of the miR-146a rs2910164 and miR-499 rs3746444 polymorphisms conferred increased susceptibility to CHD (C versus G, p < 0.0001, OR = 1.14, 95% CI = 1.07-1.21; p = 0.003, OR = 1.14, 95% CI = 1.05-1.25). Overall, our findings suggest that the miR-146a rs2910164, miR-196a2 rs11614913, and miR-499 rs3746444 polymorphisms may be correlated with the risk of CHD.

Identification and validation of seven new loci showing differential DNA methylation related to serum lipid profile: an epigenome-wide approach. The REGICOR study

Lipid traits (total, low-density and high-density lipoprotein cholesterol, and triglycerides) are risk factors for cardiovascular disease. DNA methylation is not only an inherited but also modifiable epigenetic mark that has been related to cardiovascular risk factors. Our aim was to identify loci showing differential DNA methylation related to serum lipid levels. Blood DNA methylation was assessed using the Illumina Human Methylation 450 BeadChip. A two-stage epigenome-wide association study was performed, with a discovery sample in the REGICOR study (n = 645) and validation in the Framingham Offspring Study (n = 2,542). Fourteen CpG sites located in nine genes (SREBF1, SREBF2, PHOSPHO1, SYNGAP1, ABCG1, CPT1A, MYLIP, TXNIP and SLC7A11) and 2 intergenic regions showed differential methylation in association with lipid traits. Six of these genes and 1 intergenic region were new discoveries showing differential methylation related to total cholesterol (SREBF2), HDL-cholesterol (PHOSPHO1, SYNGAP1 and an intergenic region in chromosome 2) and triglycerides (MYLIP, TXNIP and SLC7A11). These CpGs explained 0.7%, 9.5% and 18.9% of the variability of total cholesterol, HDL cholesterol and triglycerides in the Framingham Offspring Study, respectively. The expression of the genes SREBF2 and SREBF1 was inversely associated with methylation of their corresponding CpGs (P-value = 0.0042 and 0.0045, respectively) in participants of the GOLDN study (n = 98). In turn, SREBF1 expression was directly associated with HDL cholesterol (P-value = 0.0429). Genetic variants in SREBF1, PHOSPHO1, ABCG1 and CPT1A were also associated with lipid profile. Further research is warranted to functionally validate these new loci and assess the causality of new and established associations between these differentially methylated loci and lipid metabolism.

Association between global leukocyte DNA methylation and cardiovascular risk in postmenopausal women

Background

Genetic studies to date have not provided satisfactory evidence regarding risk polymorphisms for cardiovascular disease (CVD). Conversely, epigenetic mechanisms, including DNA methylation, seem to influence the risk of CVD and related conditions. Because postmenopausal women experience an increase in CVD, we set out to determine whether global DNA methylation was associated with cardiovascular risk in this population.

Methods

In this cross sectional study carried out in a university hospital, 90 postmenopausal women without prior CVD diagnosis (55.5 ± 4.9 years, 5.8 [3.0–10.0] years since menopause) were enrolled. DNA was extracted from peripheral leukocytes and global DNA methylation levels were obtained with an ELISA kit. Cardiovascular risk was estimated by the Framingham General Cardiovascular Risk Score (10-year risk) (FRS). Clinical and laboratory variables were assessed. Patients were stratified into two CVD risk groups: low (FRS: <10 %, n = 69) and intermediate/high risk (FRS ≥10 %, n = 21).

Results

Age, time since menopause, blood pressure, total cholesterol, and LDL-c levels were higher in FRS ≥10 % group vs. FRS <10 % group. BMI, triglycerides, HDL-c, HOMA-IR, glucose and hsC-reactive protein levels were similar in the two groups. Global DNA methylation (% 5mC) in the overall sample was 26.5 % (23.6–36.9). The FRS ≥10 % group presented lower global methylation levels compared with the FRS <10 % group: 23.9 % (20.6–29.1) vs. 28.8 % (24.3–39.6), p = 0.02. This analysis remained significant even after adjustment for time since menopause (p = 0.02).

Conclusions

Our results indicate that lower global DNA methylation is associated with higher cardiovascular risk in postmenopausal women.

Spermine ameliorates ischemia/reperfusion injury in cardiomyocytes via regulation of autophagy

Myocardial infarction could result in high morbidity and mortality and heart diseases of children have becoming prevalent. Functions of spermine administration on cardiomyocytes remain unknown. The present study was designed to investigate the role of spermine pretreatment on myocardial ischemia/reperfusion injury (IRI). A cell model of simulated ischemia/reperfusion injury was established by incubating neonatal Sprague-Dawley rat cardiomyocytes in ischemia medium and re-cultured in normal medium. Of note, spermine pretreatment significantly reduced apoptosis and increased viability of immature cardiomyocytes. Spermine pretreatment enhanced autophagic flux as determined by confocal microscopy and transmission electron microscopy. Furthermore, proteins of mammalian target of rapamycin (mTOR) pathway were significantly reduced in response to spermine pretreatment during IRI, while proteins related to autophagy were up-regulated. The cell viability was enhanced and apoptosis decreased by rapamycin after spermine pretreatment, while these were reversed by 3-methyladenine. However, when immature cardiomyocytes were pretreated with rapamycin or 3-methyladenine, followed by IRI and spermine administration, no significant changes of viability and apoptosis were observed. In conclusion, this study suggests that spermine is a potential novel approach for preventing IRI, especially in children.

Apolipoprotein C3 gene variants and the risk of coronary heart disease: A meta-analysis

BACKGROUND

It has been reported that three common loci, SstI, C-482T, and T-455C, in the apolipoprotein C3 (APOC3) gene might be associated with an increased risk of coronary heart disease (CHD). Considering the inconsistent results and ethnicity variations, we performed a systematic meta-analysis to evaluate the association between three single nucleotide polymorphisms (SNPs) and the risk of CHD.

METHODS

We searched HuGE Navigator and PubMed databases to screen for the related literature published before 25 September, 2015. Two independent reviewers extracted the data and assessed the study quality. A random-effect model was used to pool the effect size.

RESULTS

A total of 29 studies met inclusion criteria. Nineteen studies, including 11,186 subjects relative to SstI, five studies comprising 3727 subjects relative to C-482T, and nine studies with 6753 subjects relative to T-455C were included in the final analysis. A significant increase in CHD risk was observed in the SstI polymorphism (S2 versus S1: odds ratio [OR] = 1.30, 95% confidence interval [CI] 1.10-1.55. There was also a significant increasing trend of CHD risk in the T-455C polymorphism (C versus T: OR = 1.28, 95% CI 1.16-1.41. However, no associations between C-482T and CHD risk were found in this meta-analysis.

CONCLUSIONS

The pooled evidence suggests that two SNPs (SstI and T-455C) are associated with an increased risk of CHD. However, because of the limited sample size and heterogeneity, further large-scale and well-designed studies are needed to validate our findings.