A Meta-Analysis of the Association between Polymorphisms in MicroRNAs and Risk of Ischemic Stroke

Predicting LncRNA-Disease Association by a Random Walk With Restart on Multiplex and Heterogeneous Networks

Studies have found that long non-coding RNAs (lncRNAs) play important roles in many human biological processes, and it is critical to explore potential lncRNA–disease associations, especially cancer-associated lncRNAs. However, traditional biological experiments are costly and time-consuming, so it is of great significance to develop effective computational models. We developed a random walk algorithm with restart on multiplex and heterogeneous networks of lncRNAs and diseases to predict lncRNA–disease associations (MHRWRLDA). First, multiple disease similarity networks are constructed by using different approaches to calculate similarity scores between diseases, and multiple lncRNA similarity networks are also constructed by using different approaches to calculate similarity scores between lncRNAs. Then, a multiplex and heterogeneous network was constructed by integrating multiple disease similarity networks and multiple lncRNA similarity networks with the lncRNA–disease associations, and a random walk with restart on the multiplex and heterogeneous network was performed to predict lncRNA–disease associations. The results of Leave-One-Out cross-validation (LOOCV) showed that the value of Area under the curve (AUC) was 0.68736, which was improved compared with the classical algorithm in recent years. Finally, we confirmed a few novel predicted lncRNAs associated with specific diseases like colon cancer by literature mining. In summary, MHRWRLDA contributes to predict lncRNA–disease associations.

Predicting LncRNA–Disease Association by a Random Walk With Restart on Multiplex and Heterogeneous Networks

Studies have found that long non-coding RNAs (lncRNAs) play important roles in many human biological processes, and it is critical to explore potential lncRNA–disease associations, especially cancer-associated lncRNAs. However, traditional biological experiments are costly and time-consuming, so it is of great significance to develop effective computational models. We developed a random walk algorithm with restart on multiplex and heterogeneous networks of lncRNAs and diseases to predict lncRNA–disease associations (MHRWRLDA). First, multiple disease similarity networks are constructed by using different approaches to calculate similarity scores between diseases, and multiple lncRNA similarity networks are also constructed by using different approaches to calculate similarity scores between lncRNAs. Then, a multiplex and heterogeneous network was constructed by integrating multiple disease similarity networks and multiple lncRNA similarity networks with the lncRNA–disease associations, and a random walk with restart on the multiplex and heterogeneous network was performed to predict lncRNA–disease associations. The results of Leave-One-Out cross-validation (LOOCV) showed that the value of Area under the curve (AUC) was 0.68736, which was improved compared with the classical algorithm in recent years. Finally, we confirmed a few novel predicted lncRNAs associated with specific diseases like colon cancer by literature mining. In summary, MHRWRLDA contributes to predict lncRNA–disease associations.

Role of microRNAs in inflammatory upper airway diseases

MicroRNAs (miRNAs) are a conserved family of small endogenous noncoding RNA molecules that modulate post-transcriptional gene expression in physiological and pathological processes. miRNAs can silence target mRNAs through degradation or inhibition of translation, showing their pivotal role in the pathogenesis of many human diseases. miRNAs play a role in regulating immune functions and inflammation and are implicated in controlling the development and activation of T and B cells. Inflammatory chronic upper airway diseases, such as rhinitis and rhinosinusitis, are spread all over the world and characterized by an exaggerated inflammation involving a complex interaction between immune and resident cells. Until now and despite allergy, little is known about their etiology and the processes implicated in the immune response and tuning inflammation of these diseases. This review highlights the knowledge of the current literature about miRNAs in inflammatory chronic upper airways diseases and how this may be exploited in the development of new clinical and therapeutic strategies.

Association of miR-196a2 and miR-149 single-nucleotide polymorphisms with atherosclerotic ischemic stroke susceptibility

Background

Beside common risk factors for stroke such as diabetes and hypertension, single-nucleotide variants occurring within micro RNA genes have been identified as susceptibility loci for ischemic stroke risk.

Objectives

Investigate the possible association of two variants in pre miRNA sequences, rs11614913 within miR-196a2 C > T and rs2292832 within miR-149 T > C, with ischemic stroke.

Subjects and methods

One hundred ischemic stroke patients and 100 age and sex-matched controls having > 1 risk factor for atherosclerosis were enrolled in a case-control study. Degree of atherosclerosis was assessed using ultrasonography. Micro RNA variants were assessed by real-time PCR TaqMan probe assay.

Results

The TT genotype and T allele frequencies of miR-196a2 C > T were protective against ischemic stroke (OR 0.168, P 0.001; OR 0.482, P < 0.001 respectively). While among miR-149 T > C variants, CC genotype was associated with increased risk by threefold (OR 3.061, P 0.005) and C allele was associated with about 1.9 fold risk of stroke (OR 1.909, P 0.002). Haplotypes analysis revealed miR-196a2T/-149 T allele combination was significantly lower among stroke patients than the controls (P < 0.001) with a protective effect (OR 0.196, 95% CI 0.083-0.466).

Conclusion

A decrease in the incidence of ischemic stroke is associated with miR-196a2 TT genotype and T allele and increases in the likelihood risk of ischemic stroke are associated with CC genotype and C allele within miR-149, and the two miRNAs under study are closely associated with vascular damage responses.

miR-149 and miR-499 gene polymorphism and the incident of ischemic stroke in the Asian population: From a case-control study to meta-analysis

OBJECTIVES

MiRNAs are the most abundant class of regulatory non-coding RNA, which may exert a significant role in the pathogenesis of ischemic stroke(IS). Previous studies have focused on the relationship between miRNA polymorphism and IS risk, but the results remain inconsistent. Therefore, we first conducted a case-control study to explore the association, and subsequently performed a meta-analysis to further to clarify the association of miRNA polymorphism with risk of ischemic stroke.

PATIENTS AND METHODS

We first conducted a case-control study including 567 IS patients and 552 controls. Then we performed a meta-analysis combining the current study and previous studies with a total of 3015 cases and 2874 controls on miR-149 rs2292832 and 4119 cases and 4085 controls on miR-499 rs3746444 to further confirm our findings by searching PubMed, Web of Science and Chinese National Knowledge Infrastructure (CNKI) databases database up to Nov 2019.

RESULTS

In our case-control study, no association between miR-499 rs3746444, miR-149 rs2292832 and IS were found. When combined with previous studies, however, a significant relationship between miR-149 rs2292832 and ischemic stroke incident was found under recessive model and allelic model. In other words, CC genotype and C allele of miR-149 rs2292832 were increased risk of ischemic stroke.

CONCLUSION

Our meta-analysis results suggest that miR-149 rs2292832 might contribute to stroke susceptibility in the Asian populations.

Association study of miR-146a, miR-149, miR-196a2, and miR-499 polymorphisms with venous thromboembolism in a Korean population

Despite much progress in microRNA (miRNA) research, information regarding the association between miRNAs and venous thromboembolism (VTE), especially in Asian patients, remains limited. This case-control study sought to determine the correlation between the presence of polymorphisms in the genes encoding the miRNAs miR-146a, miR-149, miR-196a2, miR-499, and VTE in Korean patients. We observed no statistically significant differences in the genotype frequency of miRNA polymorphisms between 300 control individuals and 203 VTE patients. However, we observed a significant association between three allelic combinations of miRNA polymorphisms and VTE risk. Overall, our findings suggest that specific miRNA polymorphisms are associated with the risk of VTE in a Korean population.

MicroRNA and Human Bone Health

The small non‐coding microRNAs (miRNAs) are post‐transcription regulators that modulate diverse cellular process in bone cells. Because optimal miRNA targeting is essential for their function, single‐nucleotide polymorphisms (SNPs) within or proximal to the loci of miRNA (miR‐SNPs) or mRNA (PolymiRTS) could potentially disrupt the miRNA‐mRNA interaction, leading to changes in bone metabolism and osteoporosis. Recent human studies of skeletal traits using miRNA profiling, genomewide association studies, and functional studies started to decipher the complex miRNA regulatory network. These studies have indicated that miRNAs may be a promising bone marker. This review focuses on human miRNA studies on bone traits and discusses how genetic variants affect bone metabolic pathways. Major ex vivo investigations using human samples supported with animal and in vitro models have shed light on the mechanistic role of miRNAs. Furthermore, studying the miRNAs’ signatures in secondary osteoporosis and osteoporotic medications such as teriparatide (TPTD) and denosumab (DMab) have provided valuable insight into clinical management of the disease. © 2018 The Authors. JBMR Plus Published by Wiley Periodicals, Inc. on behalf of the American Society for Bone and Mineral Research

Association between polymorphisms in microRNAs and ischemic stroke in an Asian population: evidence based on 6,083 cases and 7,248 controls

Background

Polymorphisms in miR-146a (rs2910164), miR-196a2 (rs11614913), miR-149 (rs2292832) and miR-499 (rs3746444) have been associated with ischemic stroke (IS), but studies have given inconsistent results.

Methods

This meta-analysis investigated the possible association between IS risk and the four polymorphisms. A total of 14 case-control studies from Asian populations involving 6,083 cases and 7,248 controls for the four polymorphisms were included.

Results

Results showed that the GG genotype of miR-146a (rs2910164) may be associated with increased IS risk according to the recessive model (OR=1.20, 95% CI=1.02–1.42, P=0.03). Similarly, the CC genotype of miR-149 (rs2292832) may be associated with increased IS risk according to the recessive model (OR=1.28, 95% CI=1.08–1.52, P=0.005) and the homozygous model (OR=1.31, 95% CI=1.09–1.58, P=0.004). In contrast, miR-196a2 (rs11614913) and miR-499 (rs3746444) polymorphisms did not show significant association with IS risk in any of the five genetic models.

Conclusion

These results indicate that the GG genotype of miR-146a (rs2910164) and CC genotype of miR-149 (rs2292832) may confer increased susceptibility to IS, while miR-196a2 (rs11614913) and miR-499 (rs3746444) polymorphisms may not be associated with IS risk in Asian populations. These conclusions should be verified in large and well-designed studies.

Interpreting the various associations of MiRNA polymorphisms with susceptibilities of cardiovascular diseases: Current evidence based on a systematic review and meta-analysis

BACKGROUND

To interpret the various associations between miRNA polymorphisms and cardiovascular diseases (CVD).

METHODS

Literature search has identified relevant studies up to June 2016. A meta-analysis was performed followed the guidelines from the Cochrane review group and the PRISMA statement. Studies were identified by searching the Cochrane Library, EMBASE, PUBMED and WHO clinical trials registry center. A meta-analysis has been done with a fixed/random-effect model using STATA 14.0, which also has been used to estimate the publication bias and meta-regression.

RESULTS

The results from 11 case-control studies were included. The miR-146a G/C makes a contribution to the causing of CVD as recessive genetic model. And the miR-499 G/A raised the risks of cardiomyopathy, however it could still accelerate the procedure of CVD combined with myocardial infraction. At this point, we consider that it could deepen the adverse of outcomes from coronary artery disease (CAD), but it's hard to draw an association between miR-499 G/A and CAD. At last the miR-196a2 T/C demonstrated a contrary role between development problem and metabolic issues, which protects the development procedure and impairs the metabolism to cause different disease phenotypes.

CONCLUSION

Despite inter-study variability, the polymorphisms from miR-146a, miR-499 and miR-196a2 have impacts on cardiovascular disease. Each type of miRNA has individual role in either cardiac development or the origins of CVD.

Association of MicroRNA-146a and MicroRNA-149 Polymorphisms With Strokes in Asian Populations: An Updated Meta-Analysis

Strokes are a major cause of disability and death worldwide. An association between microRNA-146a (miR-146a) and miR-149 polymorphisms and strokes was inconclusive. This meta-analysis aimed to reevaluate the strength of the association by searching online databases and retrieving relevant case-control studies published between 2000 and 2016. Nine articles including 8 on miR-146a rs2910164 G/C and 3 on miR-149 rs2292832 C/T in 3372 patients with stroke and 4394 controls were included. The miR-149 rs2292832 was significantly associated with the risk of a stroke under allelic (C vs T: odds ratio [OR] = 1.14; 95% confidence interval [CI] = 1.01-1.29; P = .03), homologous (CC vs TT: OR = 1.36; 95% CI = 1.05-1.77; P = .02), and recessive models (CC vs CT + TT: OR = 1.34; 95% CI = 1.05-1.71; P = .02). No correlation was detected between miR-146a rs2910164 and susceptibility to a stroke. In conclusion, the results suggested that miR-149 might be a risk factor for the development of a stroke, while miR-146a might not be. Well-designed studies with large populations are needed to clarify the association between miR-146a and miR-149 polymorphisms and strokes.

A functional variant of miRNA-149 confers risk for allergic rhinitis and comorbid asthma in Chinese children

The prevalence of allergic rhinitis (AR) and asthma has been increasing, and the comorbidity rates of these diseases are very high. Here, 176 AR patients, 124 patients with comorbid AR and asthma (AR-A) and 206 healthy Chinese children as controls were included in a case-control study. Six single-nucleotide polymorphisms (SNPs), miR-146a (rs2910164, rs57095329 and rs6864584), miR-196a2 (rs11614913), miR-499 (rs3746444) and miR-149 (rs2292832), were genotyped. The prevalence of homozygous miR-149 (rs2292832) CC genotype and C allele were considerably increased in AR and AR-A patients, compared with the controls. AR-A group showed higher frequencies of CC genotype and C allele of rs2292832 than AR group. No significant difference in the genotypic and allelic frequencies of other miRNA SNPs was found between the groups. MiR-149 levels in peripheral blood mononuclear cells (PBMCs) were significantly lower in CC (variant type) cases compared with TT (wild-type) cases. In further experiments, PBMCs obtained from the healthy controls with CC, CT and TT genotypes were stimulated by house dust mite extracts, which led to a significant decrease in the levels of miR-149 in PBMCs obtained from CC and TT individuals. This decrease was more pronounced in CC compared with TT cases. Our results demonstrate that miR-149 rs2292832 variant is not only strongly associated with AR and AR-A, but it may lead to an increase in the susceptibility to allergies following the stimulation with an allergen, through the changes in miR149 expression. Additionally, AR patients with CC genotypes were shown to be more susceptible to asthma.