Association between single nucleotide polymorphism rs9534275 and the risk of coronary artery disease and ischemic stroke

Do Pathophysiologic Mechanisms Linking Unhealthy Lifestyle to Cardiovascular Disease and Cancer Imply Shared Preventive Measures? - A Critical Narrative Review

Growing evidence has shown a bidirectional link between the cardiologic and oncologic fields. Several investigations support the role of unhealthy behaviors as pathogenic factors of both cardiovascular disease and cancer. We report epidemiological and research findings on the pathophysiological mechanisms linking unhealthy lifestyle to cardiovascular disease and cancer. For each unhealthy behavior, we also discuss the role of preventive measures able to affect both cardiovascular disease and cancer occurrence and progression.

Discordantly high Apo B with LDL-C or non-HDL-C in relation to presence and burden of cerebral atherosclerotic plaques

BACKGROUND

Data are limited on associations between apolipoprotein B (Apo B) and cerebral atherosclerosis.

OBJECTIVE

Our study aimed to estimate associations between discordant Apo B with low-density lipoprotein cholesterol (LDL-C) or non-high-density lipoprotein cholesterol (Non-HDL-C) and the odds of the presence and burden of intra-/extra-cranial atherosclerotic plaques.

METHODS

This cross-sectional study was based on the baseline survey from the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study, a population-based prospective cohort study. Participants with complete baseline data but without taking lipid-lowering medication were included in this analysis. Discordant Apo B with LDL-C or Non-HDL-C were defined by residuals and cut-off values (LDL-C: 3.4 mmol/L, Non-HDL-C: 4.1 mmol/L). We used binary and ordinal logistic regression models to explore associations between discordant Apo B with LDL-C or Non-HDL-C and the presence and burden of intra-/extra-cranial atherosclerotic plaques.

RESULTS

A total of 2,943 participants were enrolled in this study. Discordantly high Apo B with LDL-C was associated with an increased odds of the presence of intracranial atherosclerotic plaque [odds ratio (OR),1.28; 95%CI,1.01-1.61], intracranial atherosclerotic burden [common odds ratio (cOR), 1.31; 95%CI,1.04-1.64], the presence of extracranial atherosclerotic plaque (OR, 1.37; 95%CI,1.14-1.66), and extracranial atherosclerotic burden (cOR, 1.32; 95%CI,1.10-1.58) compared with the concordant group. Discordantly low Apo B with Non-HDL-C was associated with decreased odds of the presence and burden of intra-/extra-cranial atherosclerotic plaques.

CONCLUSION

Discordantly high Apo B with LDL-C or Non-HDL-C were associated with an increased odds of the presence and burden of intra-/extra-cranial atherosclerotic plaques. This demonstrated that discordantly high Apo B might be important for early assessment of risk of cerebral atherosclerotic plaques in addition to LDL-C and Non-HDL-C.

Mutation of breast cancer susceptibility genes increases cerebral microbleeds: A pilot study

OBJECTIVES

Growing evidence suggests breast cancer susceptibility gene (BRCA) mutations may augment cerebrovascular risk factors. With this influence in mind, we aimed to identify if BRCA mutations increased the prevalence of cerebral small vessel disease (CSVD).

METHODS AND MATERIALS

We performed a retrospective cross-sectional analysis of adults undergoing malignancy evaluation with confirmed BRCA mutations compared to BRCA wildtype individuals. A standard-of-care brain MRI was reviewed. Chi-squared or Fisher's, Wilcoxon rank-sum and the Student's t-test analyses were used when appropriate. Adjusted logistic regression models were fit to calculate odds ratio. Multicollinearity was tested by variance inflation factor calculation and for goodness-of-fit via the Hosmer-Lemeshow test.

RESULTS

Of 116 individuals, 44.8% (52/116) carried a BRCA mutation. Demographic and cerebrovascular risk factors did not differ. Cerebral microbleeds were more common in those with BRCA mutation: [32.7% (17/52) vs. 17.2% (11/64), p = 0.05] with an adjusted odds ratio of 2.8 (95%CI 1.08-6.89, p = 0.03). Other markers of CSVD were similar amongst the cohort.

CONCLUSIONS

We identified a nearly 3-fold increase in identified cerebral microbleed in those with BRCA mutations compared with BRCA wildtype individuals suggestive of an interaction between the BRCA gene and cerebral microbleed formation. Further studies are needed to confirm our findings and to understand clinical implications.

Prevalence of Hypertension and Related Characteristics: Perspectives from an Outpatient Podiatric Medical Clinic

BACKGROUND

Hypertension is a highly prevalent condition in the general population, conferring a high risk of significant morbidity and mortality. Associated with the condition are many well-characterized controllable and noncontrollable risk factors. This study aimed to identify the prevalence of hypertension in the outpatient podiatric medical clinic setting and to determine the relevance of hypertension risk factors in this setting.

METHODS

A survey tool was created to characterize relevant risk factors, and systolic and diastolic blood pressures were recorded. Descriptive statistics were generated after conclusion of enrollment. Analysis was also performed to determine the relationship between individual risk factors and systolic blood pressure.

RESULTS

Of the 176 patients, 56 (31.8%) had an incidentally high blood pressure at intake, including 18.5% of patients without a known history of hypertension and 38.5% with a known history of hypertension. Three risk factors were found to be significantly associated with increasing systolic blood pressure: weight (P = .022), stress level (P = .017), and presence of renal artery stenosis (P = .021). There was also a near-statistically significant inverse relationship between systolic blood pressure and amount of time spent exercising (P = .068).

CONCLUSIONS

Overall, a relatively high prevalence of incidental hypertension was identified, including among patients not previously diagnosed as having hypertension. Consideration of risk factors and awareness of the prevalence of the condition can be useful for practitioners, even as they manage presenting podiatric medical concerns. Future investigations may consider interventional or preventive strategies in the outpatient clinic setting.

Integrated Weighted Gene Co-expression Network Analysis Identified That TLR2 and CD40 Are Related to Coronary Artery Disease

The current research attempted to identify possible hub genes and pathways of coronary artery disease (CAD) and to detect the possible mechanisms. Array data from GSE90074 were downloaded from the Gene Expression Omnibus (GEO) database. Integrated weighted gene co-expression network analysis (WGCNA) was performed to analyze the gene module and clinical characteristics. Gene Ontology annotation (GO), Disease Ontology (DO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed by clusterProfiler and the DOSE package in R. A protein-protein interaction (PPI) network was established using Cytoscape software, and significant modules were analyzed using Molecular Complex Detection (MCODE) to identify hub genes. Then, further functional validation of hub genes in other microarrays and population samples was performed, and survival analysis was performed to investigate the prognosis. A total of 660 genes were located in three modules and associated with CAD. GO functions identified 484 biological processes, 39 cellular components, and 22 molecular functions with an adjusted P < 0.05. In total, 38 pathways were enriched in KEGG pathway analysis, and 147 DO items were identified with an adjusted P < 0.05 (false discovery rate, FDR set at < 0.05). There was a total of four modules with a score > 10 after PPI network analysis using the MCODE app, and two hub genes (TLR2 and CD14) were identified. Then, we validated the information from the GSE60993 dataset using the GSE59867 dataset and population samples, and we found that these two genes were associated with plaque vulnerability. These two genes varied at different time points after myocardial infarction, and both of them had the lowest prognosis of heart failure when they were expressed at low levels. We performed an integrated WGCNA and validated that TLR2 and CD14 were closely associated with the severity of coronary artery disease, plaque instability and the prognosis of heart failure after myocardial infarction.

Weighted gene coexpression network analysis identifies the key role associated with acute coronary syndrome

The present study sought to identify potential hub genes and pathways of acute coronary syndrome (ACS). We downloaded the dataset (GSE56045) from the Gene Expression Omnibus (GEO) database and analyzed weighted gene coexpression networks (WGCNA). Gene Ontology annotation, Disease Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using R software. The protein-protein interaction (PPI) network was constructed using Cytoscape, and the Molecular Complex Detection app was employed to identify significant modules and hub genes. The hub genes were then validated in other microarrays and patients by RT-PCR. Two modules were identified and associated with coronary artery disease (CAD) and included 219 genes. After function and PPI analyses, 24 genes were identified to be potentially associated with CAD. Linear correlation was performed to calculate the relationship between the gene expression levels and coronary artery calcification score and found that CCR7 (R = -0.081, P = 0.0065), CD2 (R = -0.075, P = 0.0012), CXCR5 (R = -0.065, P = 0.029) and IL7R (R = -0.06, P = 0.043) should be validated in other dataset. By comparing the gene expression levels in different groups in GSE23561, GSE34822, GSE59867, GSE60993 and GSE129935, only two genes (CCR7 and CXCR5) showed significance. The nomogram showed that CXCR5 showed the risk of ACS. Further analysis in chest patients found CXCR5 played a key role resulting in ACS. Our WGCNA analysis identified CXCR5 as a risk factor for ACS, and the potential pathogenesis may be associated with immune inflammation.

Genetic variation contributes to gene expression response in ischemic stroke: an eQTL study

Objective

Single nucleotide polymorphisms (SNPs) contribute to complex disorders such as ischemic stroke (IS). Since SNPs could affect IS by altering gene expression, we studied the association of common SNPs with changes in mRNA expression (i.e. expression quantitative trait loci; eQTL) in blood after IS.

Methods

RNA and DNA were isolated from 137 patients with acute IS and 138 vascular risk factor controls (VRFC). Gene expression was measured using Affymetrix HTA 2.0 microarrays and SNP variants were assessed with Axiom Biobank Genotyping microarrays. A linear model with a genotype (SNP) × diagnosis (IS and VRFC) interaction term was fit for each SNP‐gene pair.

Results

The eQTL interaction analysis revealed significant genotype × diagnosis interaction for four SNP‐gene pairs as cis‐eQTL and 70 SNP‐gene pairs as trans‐eQTL. Cis‐eQTL involved in the inflammatory response to IS included rs56348411 which correlated with neurogranin expression (NRGN), rs78046578 which correlated with CXCL10 expression, rs975903 which correlated with SMAD4 expression, and rs62299879 which correlated with CD38 expression. These four genes are important in regulating inflammatory response and BBB stabilization. SNP rs148791848 was a strong trans‐eQTL for anosmin‐1 (ANOS1) which is involved in neural cell adhesion and axonal migration and may be important after stroke.

Interpretation

This study highlights the contribution of genetic variation to regulating gene expression following IS. Specific inflammatory response to stroke is at least partially influenced by genetic variation. This has implications for progressing toward personalized treatment strategies. Additional research is required to investigate these genes as therapeutic targets.

Dab2 gene variant is associated with increased coronary artery disease risk in Chinese Han population

Disabled-2 (Dab2) is a clathrin and cargo-binding endocytic adaptor protein that plays a role in cellular trafficking of low-density lipoprotein receptor (LDLR). However, little is known about its involvement in coronary artery disease (CAD). Here, we aimed to investigate the association between Dab2 single-nucleotide polymorphisms (SNPs) and CAD in Chinese Han and Uyghur populations.We performed a case-control study in CAD group that consisted of 621 Han and 346 Uygurs, and the age and gender matched control group consisted of 611 Han and 405 Uygurs. The clinicopathological characteristics of these subjects were analyzed. Genotyping of 4 SNPs (rs1050903, rs2855512, rs11959928, and rs2255280) of the Dab2 gene was performed in all subjects with an improved multiplex ligase detection reaction method.The distribution of the genotype, dominant model (AA vs. AC + CC), as well as allele frequencies of both rs2855512 and rs2255280, was significantly different between CAD patients and control subjects in Han population but not in Uyghur population. AA genotype may be a risk factor for CAD. For Han population, statistical significant correlation between dominant model for both SNPs (AA) and CAD was found after multivariate adjustment. After multivariate adjustment in the Han population, we speculate that rs285512 A allele and rs2255280 A allele may be potentially associated with the onset of coronary heart disease. Individuals with the AA genotype had an OR of 1.44 (95% CI: 1.10-1.88, P = .01, rs2855512) and 1.41 (95% CI: 1.08-1.85, P = .01, rs2255280) for CAD compared with individuals with the AC or CC genotype, respectively.Our data indicates that the AA genotype of rs2855512 and rs2255280 in the Dab2 gene may be a genetic marker of CAD risk in Chinese Han population.

BReast CAncer susceptibility gene 2 deficiency exacerbates oxidized LDL-induced DNA damage and endothelial apoptosis

Mutations in the tumor suppressor gene BRCA2 (BReast CAncer susceptibility gene 2) predispose carriers to breast, ovarian, and other cancers. In response to DNA damage, BRCA2 participates in homology-directed DNA damage repair to maintain genome stability. Genome-wide association studies have identified an association between BRCA2 single nucleotide polymorphisms and plasma-lipid levels and lipid deregulation in humans. To date, DNA damage, apoptosis, and lipid deregulation are recognized as central pathways for endothelial dysfunction and atherosclerosis; however, the role of BRCA2 in endothelial dysfunction remains to be elucidated. To determine the role of BRCA2 in endothelial dysfunction, BRCA2 was silenced in human umbilical vein endothelial cells (ECs) and assessed for markers of DNA damage, apoptosis, and endothelial function following oxidized low-density lipoprotein (oxLDL) treatment. OxLDL was found to induce significant reactive oxygen species (ROS) production in BRCA2-silenced ECs. This increase in ROS production was associated with exacerbated DNA damage evidenced by increased expression and activation of DNA double-stranded break (DSB) marker γH2AX and reduced RAD51-foci formation-an essential regulator of DSB repair. Increased DSBs were associated with enhanced expression and activation of pro-apoptotic p53 and significant apoptosis in oxLDL-treated BRCA2-silenced ECs. Loss of BRCA2 in ECs was further associated with oxLDL-induced impaired tube-forming potential and eNOS expression. Collectively, the data reveals, for the first time, a novel role of BRCA2 as a regulator of EC survival and function in the setting of oxLDL treatment in vitro. Additionally, the data provide important clues regarding the potential susceptibility of BRCA2 mutation carriers to endothelial dysfunction, atherosclerosis, and other cardiovascular diseases.

Association of the NCAN-TM6SF2-CILP2-PBX4-SUGP1-MAU2 SNPs and gene-gene and gene-environment interactions with serum lipid levels

This study investigated the association of the NCAN-TM6SF2-CILP2-PBX4-SUGP1-MAU2 SNPs and gene-gene and gene-environment interactions with serum lipid levels in the population of Southwest China. Genotyping of 12 SNPs (i.e., rs2238675, rs2228603, rs58542926, rs735273, rs16996148, rs968525, rs17216525, rs12610185, rs10401969, rs8102280, rs73001065 and rs150268548) was performed in 1248 hyperlipidemia patients and 1248 normal subjects. The allelic and genotypic frequencies of the detected SNPs differed substantially between the normal and hyperlipidemia groups (P < 0.05-0.001), and the association of the 12 SNPs and hyperlipidemia was also observed (P < 0.004-0.0001). Four haplotypes (i.e., NCAN C-C, CILP2 G-T, PBX4-SUGP1 G-C, and MAU2 C-A-G-T) and 5 gene-gene interaction haplotypes (i.e., rs2238675C-rs2228603C, rs16996148G-rs17216525T, rs12610185G-rs10401969C, rs73001065G-rs8102280A-rs150268548G-rs968525C and rs73001065C-rs8102280A-rs150268548G-rs96852）showed a protective effect, whereas four other haplotypes (i.e., TM6SF2 T-A, TM6SF2 C-A, MAU2 G-G-G-C and MAU2 C-G-A-T), as well as 4 gene-gene interaction haplotypes (i.e., rs58542926C-rs735273A, rs58542926T-rs735273A, rs73001065G-rs8102280G-rs150268548G-rs968525C, and rs73001065C-rs8102280G-rs150268548A-rs968525T), exhibited an inverse effect on hyperlipidemia (P < 0.05-0.0001). There were notable three-locus models comprising SNP-SNP, SNP-environment, and haplotype-haplotype interactions (P < 0.05-0.0001). The individuals with some genotypes and haplotypes reduced the prevalence of hyperlipidemia, whereas the individuals with some other genotypes and haplotypes augmented the prevalence of hyperlipidemia. The NCAN-TM6SF2-CILP2-PBX4-SUGP1-MAU2 SNPs and gene-gene and gene-environment interactions on hyperlipidemia were observed in the population of Southwest China.

Integrated DNA methylation and gene expression analysis in the pathogenesis of coronary artery disease

To evaluate DNA methylation sites and gene expression associated with coronary artery disease (CAD) and the possible pathological mechanism involved, we performed (1) genome-wide DNA methylation and mRNA expression profiling in peripheral blood datasets from the Gene Expression Omnibus repository of CAD samples and controls; (2) functional enrichment analysis and differential methylation gene regulatory network construction; (3) validation tests of 11 differential methylation positions of interest and the corresponding gene expression; and (4) correlation analysis for DNA methylation and mRNA expression data. A total of 669 differentially expressed mRNAs were matched to differentially methylated genes. After disease ontology, Kyoto Encyclopedia of Genes and Genomes pathway, gene ontology, protein-protein interaction and network construction and module analyses, 11 differentially methylated positions (DMPs) corresponding to 11 unique genes were observed: BDNF - cg26949694, BTRC - cg24381155, CDH5 - cg02223351, CXCL12 - cg11267527, EGFR - cg27637738, IL-6 - cg13104385, ITGB1 - cg20545410, PDGFRB - cg25613180, PIK3R1- cg00559992, PLCB1 - cg27178677 and PTPRC - cg09247619. After validation tests of 11 DMPs of interest and the corresponding gene expression, we found that CXCL12 was less hypomethylated in the CAD group, whereas the relative expression of ITGB1, PDGFRB and PIK3R1 was lower in CAD samples, and CXCL12 and ITGB1 methylation was negatively correlated with their expression. This study identified the correlation between DNA methylation and gene expression and highlighted the importance of CXCL12 in CAD pathogenesis.

A novel circRNA-miRNA-mRNA network identifies circ-YOD1 as a biomarker for coronary artery disease

Circular RNAs (circRNAs) are involved in many physiological functions. Whether circulating circRNAs serve as markers for coronary artery disease (CAD) is unknown. Seven CAD-related microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database and were analyzed using clustering and functional enrichment to identify hub mRNAs and miRNAs. StarBase V3.0 and circinteractome databases were used to predict interactions between circRNAs and miRNAs whereas miRwalk and DIANA TOOLS were used to predict interactions between miRNAs and mRNAs. Altogether, this helped establish a circRNA-miRNA-mRNA triple network for diagnosis of CAD. Five non-coding RNAs (ncRNAs) were identified in our study population with the use of quantitative real-time PCR (RT-PCR). The prognostic values of circYOD1, hsa-miR-21-3p and hsa-miR-296-3p were evaluated using a receiver operating characteristic (ROC) curve. A CAD circRNA-miRNA-mRNA network was established from our analyses containing one circRNA, four miRNAs and thirteen mRNAs. After performing RT-PCR validation between CAD and non-CAD samples, only three ncRNAs of five ncRNAs showed significance for further analysis. The area under ROC curve (AUC) of circ-YOD1 was 0.824, the AUC of hsa-miR-21-3p was 0.731 and hsa-miR-296-3p was 0.776. The pairwise comparison results showed that circ-YOD1 had statistical significance (P_YOD1-21 < 0.01 and P_YOD1-296 < 0.05). The results of functional enrichment analysis of interacting genes and microRNAs showed that the shared circ-YOD1 may act as a new biomarker for CAD. Our investigation of the triple regulatory networks of circRNA-miRNA-mRNA in CAD revealed circ-YOD1 as a potential biomarker for CAD.

LncRNA SNHG8 is identified as a key regulator of acute myocardial infarction by RNA-seq analysis

BACKGROUND

Long noncoding RNAs (lncRNAs) are involved in numerous physiological functions. However, their mechanisms in acute myocardial infarction (AMI) are not well understood.

METHODS

We performed an RNA-seq analysis to explore the molecular mechanism of AMI by constructing a lncRNA-miRNA-mRNA axis based on the ceRNA hypothesis. The target microRNA data were used to design a global AMI triple network. Thereafter, a functional enrichment analysis and clustering topological analyses were conducted by using the triple network. The expression of lncRNA SNHG8, SOCS3 and ICAM1 was measured by qRT-PCR. The prognostic values of lncRNA SNHG8, SOCS3 and ICAM1 were evaluated using a receiver operating characteristic (ROC) curve.

RESULTS

An AMI lncRNA-miRNA-mRNA network was constructed that included two mRNAs, one miRNA and one lncRNA. After RT-PCR validation of lncRNA SNHG8, SOCS3 and ICAM1 between the AMI and normal samples, only lncRNA SNHG8 had significant diagnostic value for further analysis. The ROC curve showed that SNHG8 presented an AUC of 0.850, while the AUC of SOCS3 was 0.633 and that of ICAM1 was 0.594. After a pairwise comparison, we found that SNHG8 was statistically significant (P _SNHG8-ICAM1 = 0.002; P _SNHG8-SOCS3 = 0.031). The results of a functional enrichment analysis of the interacting genes and microRNAs showed that the shared lncRNA SNHG8 may be a new factor in AMI.

CONCLUSIONS

Our investigation of the lncRNA-miRNA-mRNA regulatory networks in AMI revealed a novel lncRNA, lncRNA SNHG8, as a risk factor for AMI and expanded our understanding of the mechanisms involved in the pathogenesis of AMI.

Association between promoter DNA methylation and gene expression in the pathogenesis of ischemic stroke

To assess DNA methylation sites as well as gene expression related to ischemic stroke (IS) and comprehensively reveal their correlation and possible pathological mechanisms, we implemented (1) genome-wide DNA methylation profiling from the GEO repository related to IS with and without symptoms; (2) identification of differentially methylation positions (DMPs) and genes (DMGs), functional enrichment analysis along with DMG regulatory network construction; (3) validation tests of 2 differential methylation positions of interest as well as analogous gene expression in other datasets and in IS patients and controls; and (4) correlation analysis of DNA methylation and mRNA expression data. In total, 870 DMPs were physically located within 693 DMGs. After disease ontology (DO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, gene ontology (GO), protein-protein interaction (PPI) network construction as well as module analysis, HLA-DRB1 and HLA-DQB1 were identified. Their expression was validated in 4 other datasets but was significant in only 1, and the expression was lower in the IS group (P < 0.05). After validation in IS patients and controls, we found that these two genes showed more hypermethylation and lower expression levels in the IS group (P < 0.001). The methylation of genes was negatively associated with their expression (P < 0.05). The current study recognized a connection among DNA methylation and gene expression and emphasized the prominence of HLA-DRB1 and HLA-DQB1 in IS pathogenesis.

Association study of two single nucleotide polymorphisms rs10757278 and rs1333049 with atherosclerosis, a case-control study from Iraq

Atherosclerosis is one of the most important coronary artery disease (CAD) caused by lipid accumulation, hypertension, smoking, and many other factors such as environmental and genetic factors. It has been recorded that genetic variations in rs10757278 and rs1333049 are correlated with CAD. In the present study, 100 blood samples were collected (50 CAD patients and 50 appeared to be healthy controls), who referred to Ibn-Albytar general hospital/in Bagdad city for heart disease from February to March 2019. Genotyping for two SNPs rs10757278 and rs1333049, were done by Tetra ARMS method. For the rs10757278 polymorphism, the GG genotype verses to AA genotype was significantly associated with the risk of CAD (OR=5.16, 95% CI:1.02-26.0, P=0.047). For the rs10757278 polymorphism, there was no significant associatin between genotypes and the susceptibiulity to CAD. In the present study, the rs10757278 polymorphism showed an association with CAD.

Association between the XKR6 rs7819412 SNP and serum lipid levels and the risk of coronary artery disease and ischemic stroke

Background

The present study aimed to expound the association between the XK related 6 gene (XKR6) rs7819412 single nucleotide polymorphism (SNP) and serum lipid profiles and the risk of coronary artery disease (CAD) and ischemic stroke.

Methods

The genetic makeup of the XKR6 rs7819412 SNP in 1783 unrelated participants (controls, 643; CAD, 588 and ischemic stroke, 552) of Han Chinese was obtained by the Snapshot technology.

Results

The genotypic frequencies of the SNP were disparate between CAD (GG, 81.0%; GA/AA, 19.0%) or ischemic stroke (GG, 81.2%; GA/AA, 18.8%) patients and healthy controls (GG, 85.7%, GA/AA, 14.3%; P < 0.05 vs. CAD or ischemic stroke; respectively). The A allele frequency was also diverse between CAD (10.1%) or ischemic stroke (10.0%) and control groups (7.5%; P < 0.05 vs. CAD or ischemic stroke; respectively). The GA/AA genotypes and A allele were associated with high risk of CAD and ischemic stroke (CAD: P = 0.026 for GA/AA vs. GG, P = 0.024 for A vs. G; Ischemic stroke: P = 0.029 for GA/AA vs. GG, P = 0.036 for A vs. G). The GA/AA genotypes were also associated with increased serum triglyceride (TG) concentration in CAD and total cholesterol (TC) concentration in ischemic stroke patients.

Conclusions

These data revealed that the XKR6 rs7819412 A allele was related to increased serum TG levels in CAD, TC levels in ischemic stroke patients and high risk of CAD and ischemic stroke.

A novel lncRNA-miRNA-mRNA triple network identifies lncRNA TWF1 as an important regulator of miRNA and gene expression in coronary artery disease

Background

Long non-coding RNAs (lncRNAs) are involved in numerous physiological functions. Yet, their mechanisms in coronary artery disease (CAD) are not well understood.

Methods

The expression profile of genes associated to CAD was reannotated into the lncRNA-mRNA biphasic profile. The target microRNA data were used to design a global CAD triple network. Thereafter, we conducted a functional enrichment analysis and clustering using the triple network from the level of topology analyses. The expression of four non-coding RNAs (ncRNAs) was measured by qRT-PCR and the risk of CAD was calculated by nomogram. The prognostic value of three ncRNAs was evaluated using receiver operating characteristic (ROC) curve.

Results

A CAD lncRNA-miRNA-mRNA network was constructed which included 15 mRNAs, 3 miRNAs, 19 edges and one lncRNA. Nomogram showed that four ncRNAs were the risk of CAD. After RT-PCR validation in four ncRNAs between CAD and non-CAD samples, only three ncRNAs had significant meaning for further analysis. ROC curve showed that TWF1 presented an area under curve (AUC) of 0.862, the AUC of hsa -miR-142-3p was 0.856 and hsa -miR126-5p was 0.822. After the pairwise comparison, we found that TWF1 had significant statistical significance (P _TWF1-142 < 0.05 and P _TWF1-126 < 0.01). The results of functional enrichment analysis of interacting gene and microRNA showed that the shared lncRNA TWF1 may be a new factor for CAD.

Conclusions

This investigation on the regulatory networks of lncRNA-miRNA-mRNA in CAD suggests that a novel lncRNA, lncRNA TWF1 is a risk factor for CAD, and expands our understanding into the mechanisms involved in the pathogenesis of CAD.

Circulating miR-3659 may be a potential biomarker of dyslipidemia in patients with obesity

BACKGROUND

The present study attempted to identify potential key genes and miRNAs of dyslipidemia in obese, and to investigate the possible mechanisms associated with them.

METHODS

The microarray data of GSE66676 were downloaded, including 67 obese samples from the Gene Expression Omnibus (GEO) database. The weighted gene co-expression network (WGCNA) analysis was performed using WGCNA package and grey60 module was considered as the highest correlation. Gene Ontology annotation and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses for this module were performed by clusterProfiler and DOSE package. A protein-protein interaction (PPI) network was established using Cytoscape software, and significant modules were analyzed using molecular complex detection.

RESULTS

Collagen type I alpha 1 chain gene (COL1A1) had the best significant meaning. After bioinformatic analysis, we identified four miRNAs (hsa-miR-3659, hsa-miR-4658, hsa-miR151a-5p and hsa-miR-151b) which can bind SNPs in 3'UTR in COL1A1. After validation with RT-qPCR, only two miRNAs (hsa-miR-3659 and hsa-miR151a-5p) had statistical significance.

CONCLUSIONS

The area of 0.806 for miR-3659 and 0.769 for miR-151a-5p under the ROC curve (AUC) may have good diagnostic value for dyslipidemia. Circulating miR-3659 may be a potential biomarker of dyslipidemia in patients with obesity.