Association of CDKN2BAS gene polymorphism with periodontitis and Coronary Artery Disease from South Indian population

The roles of ANRIL polymorphisms in periodontitis: a systematic review and meta-analysis

OBJECTIVES

The aim of this study is to investigate the potential role of ANRIL polymorphisms in susceptibility to periodontitis.

METHODS

The authors searched Pubmed, Web of Science, and Scopus up to April 2021 to identify all published studies without any language restriction on the association between ANRIL and periodontitis. A meta-analysis of all ANRIL variants replicated by three or more studies was performed by testing multiple genetic models of association. Pooled odds ratios and 95% confidence intervals (CI) were used to estimate associations. Tests for sensitivity and publication bias were performed.

RESULTS

Twenty-two variants in the ANRIL gene were examined for their potential association with the risk of periodontitis. However, only 4 (rs1333048, rs1333042, rs2891168, rs496892) are replicated at least three or more studies. The ANRIL rs1333048 was the most replicated polymorphisms with five articles, seven different populations comprising of 1331 cases, and 2624 controls. The pooled overall analysis showed that rs1333048, rs1333042, rs2891168, and rs496892 polymorphisms were associated with susceptibility to periodontitis in the whole population in allele contrast and dominant models. Moreover, similar to the overall analysis, rs1333048 polymorphism showed a significant association with grade C periodontitis (known as aggressive periodontitis in 1999 classification) in allele contrast (OR = 1.16) and dominant models (1.19). Interestingly, subgroup analysis also showed rs1333048 polymorphism might influence predisposition to a slowly progressive form of periodontitis (known as chronic periodontitis in 1999 classification).

CONCLUSION

Our findings suggest that the ANRIL rs1333048, rs1333042, rs2891168, and rs496892 polymorphisms might influence predisposition to periodontitis, particularly in Caucasians.

CLINICAL SIGNIFICANCE

ANRIL gene may represent a potential risk marker for periodontitis.

Long non-coding RNAs in metabolic disorders: pathogenetic relevance and potential biomarkers and therapeutic targets

BACKGROUND

It has been suggested that dysregulation of long non-coding RNAs (lncRNAs) could be associated with the incidence and development of metabolic disorders.

AIM

Accordingly, this narrative review described the molecular mechanisms of lncRNAs in the development of metabolic diseases including insulin resistance, diabetes, obesity, non-alcoholic fatty liver disease (NAFLD), cirrhosis, and coronary artery diseases (CAD). Furthermore, we investigated the up-to-date findings on the association of deregulated lncRNAs in the metabolic disorders, and potential use of lncRNAs as biomarkers and therapeutic targets.

CONCLUSION

LncRNAs/miRNA/regulatory proteins axis plays a crucial role in progression of metabolic disorders and may be used in development of therapeutic and diagnostic approaches.

Long non-coding RNAs: Emerging roles in periodontitis

Periodontitis is a major burden of public health, affecting 20%-50% of the global population. It is a complex inflammatory disease characterized by the destruction of supporting structures of the teeth, leading to tooth loss and the emergence or worsening of systematic diseases. Understanding the molecular mechanisms underlying the physiopathology of periodontitis is beneficial for targeted therapeutics. Long non-coding RNAs (lncRNAs), transcripts made up of more than 200 nucleotides, have emerged as novel regulators of many biological and pathological processes. Recently, an increasing number of dysregulated lncRNAs have been found to be implicated in periodontitis. In this review, an overview of lncRNAs, including their biogenesis, characteristics, function mechanisms and research approaches, is provided. And we summarize recent research reports on the emerging roles of lncRNAs in regulating proliferation, apoptosis, inflammatory responses, and osteogenesis of periodontal cells to elucidate lncRNAs related physiopathology of periodontitis. Furthermore, we have highlighted the underlying mechanisms of lncRNAs in periodontitis pathology by interacting with microRNAs. Finally, the potential clinical applications, current challenges, and prospects of lncRNAs as diagnostic and prognostic biomarkers and therapeutic targets for periodontitis disease are discussed.

The Emerging Role of Long Non-coding RNAs and Circular RNAs in Coronary Artery Disease

Coronary artery disease (CAD) is a common disorder caused by atherosclerotic processes in the coronary arteries. This condition results from abnormal interactions between numerous cell types in the artery walls. The main participating factors in this process are accumulation of lipid deposits, endothelial cell dysfunction, macrophage induction, and changes in smooth muscle cells. Several lines of evidence underscore participation of long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) in the pathogenesis of CAD. Several lncRNAs such as H19, ANRIL, MIAT, lnc-DC, IFNG-AS1, and LEF1-AS1 have been shown to be up-regulated in the biological materials obtained from CAD patients. On the other hand, Gas5, Chast, HULC, DICER1-AS1, and MEG3 have been down-regulated in CAD patients. Meanwhile, a number of circRNAs have been demonstrated to influence function of endothelial cells or vascular smooth muscle cells, thus contributing to the pathogenesis of CAD. In the current review, we summarize the function of lncRNAs and circRNAs in the development and progression of CAD.

The SNP rs7865618 of 9p21.3 locus emerges as the most promising marker of coronary artery disease in the southern Indian population

Development of coronary artery disease (CAD) is primarily due to the process of atherosclerosis, however the prognosis of CAD depends on pleiotropic effects of the genes located at 9p21.3 region. Genome wide association studies revealed association of variants in this region with CAD pathology. However, specific marker in predicting CAD development or progression is not yet identified. In the present study, 35 SNPs at 9p21.3 region, located in the cyclin dependent kinase inhibitor (CDKN2A/CDKN2B) genes, were genotyped among 350 CAD cases and 480 controls from the southern Indian population of Hyderabad using fluidigm nanofluidic SNP genotyping system and the data were analyzed using PLINK and R softwares. Of the 35 SNPs analysed, only one SNP, rs7865618, was found to be highly significantly associated with CAD, even after correction for multiple testing (p = 0.008). The AG and GG genotypes of this SNP conferred 3.08 and 1.93 folds increased risk for CAD respectively. In particular, this SNP was significantly associated with severe anatomic (triple vessel disease p = 0.023) and phenotypic (acute coronary syndrome p = 0.007) categories of CAD. Pair wise SNP interaction analysis between the SNPs of 9p21.3 and 11q23.3 regions revealed significantly increased risk of three SNPs of 11q23.3 region that were not associated individually, in conjunction with rs7865618 of 9p21.3.

Is there evidence that periodontal diseases are risk factors for coronary arterial disease?-Scoping review

AIM

To determine the scientific evidence regarding the condition of periodontal diseases (PDs) as risk factors of coronary artery diseases.

MATERIALS AND METHODS

A scoping review was performed through the selection of articles from online databases (Medline via PubMed, LILACS, and Cochrane CENTRAL), using a search algorithm and eligibility criteria for data extraction and data synthesis of included papers. Four hundred forty-one studies from online databases and 1364 from reference lists were initially identified, and 34 articles were selected for inclusion. Articles had to be published between 2015 and 2020 and had to associate PDs to coronary arterial diseases. All studies comprised a sample of 446443 participants. Favorable opinions totaled 70.59%, and the cross-sectional observational study design was more frequently found (32.35%). Biochemical outcomes were showed more frequently, such as inflammatory biomarkers (58.82%). Despite a large advantage for favorable opinions, a statistically significant result was not found when extracted data were combined with studies opinions.

CONCLUSION

The evidence was classified as level II-3, hence, still distant from the best ranks and can therefore be considered as unclear. Moreover, studies with the higher potential to generate evidence showed a high risk of bias.

The correlation of serum long non-coding RNA ANRIL with risk factors, functional outcome, and prognosis in atrial fibrillation patients with ischemic stroke

BACKGROUND

This study aimed to evaluate the predictive value of long non-coding RNA (lncRNA) antisense non-coding RNA in the INK4 locus (ANRIL) for atrial fibrillation (AF) patients with ischemic stroke and investigate its correlation with risk factors, functional outcome, and prognosis.

METHODS

A total of 386 consecutive AF patients were recruited. AF patients were followed up for 24-48 months by outpatient follow-up, telephone follow-up, and medical record. The time of ischemic stroke in patients with AF was recorded, and follow-up was continued for 6 months. LncRNA ANRIL expression from serum was detected by quantitative real-time polymerase chain reaction (qRT-PCR).

RESULTS

Compared with the AF with ischemic stroke group (14.3 ± 2.3), patients in the AF without ischemic stroke group (11.9 ± 1.8) had significantly lower serum lncRNA ANRIL levels (P < .05). The sensitivity and specificity of lncRNA ANRIL for identifying AF with ischemic stroke were 76.6% and 81.4%, respectively. Spearman correlation analysis results shown that lncRNA ANRIL was significantly correlated with the NIHSS score (rSpearman  = .490, P < .001) and the mRS score (rSpearman  = .466, P < .001). Compared with the lncRNA ANRIL high-expression group, the recurrence-free survival (RFS) of the lncRNA ANRIL low-expression group was significantly higher (χ2  = 11.009, log-rank P < .001). Cox proportional regression model analysis indicated that the serum lncRNA ANRIL level (P = .004), NIHSS score (P = .001), infarct volume (P = .035), and smoking (P < .001) were the risk factors for AF with ischemic stroke.

CONCLUSION

Serum lncRNA ANRIL exerts a good predictive value for AF with ischemic stroke, and its increased expression is correlated with worse RFS for patients.

Emerging role of long non-coding RNAs in the pathogenesis of periodontitis

Periodontitis is a bacteria-related chronic immune-associated condition that destructs bone and connective tissues around teeth. With a high incidence rate, it is regarded as a condition that impose substantial health burden. About half of the variance in the severity of periodontitis is attributed to genetic factors. Long non-coding RNAs (lncRNAs) have crucial roles in the development of several disorders such as periodontitis. A number of studies have reported dysregulation of lncRNAs such as UCA1, ANRIL, FGD5-AS1, NEAT1, FAS-AS1, Linc-RAM and NKILA in gingival tissues or blood samples of patients with periodontitis in comparison with healthy subjects. Moreover, several single nucleotide polymorphisms within lncRNAs have been associated with the susceptibility to this disorder. In the current review, we discuss the most recent articles about the role of lncRNAs in the pathogenesis of periodontitis.

TRIB1 rs17321515 gene polymorphism increases the risk of coronary heart disease in general population and non-alcoholic fatty liver disease patients in Chinese Han population

Background

Present evidences suggested that TRIB1 rs17321515 polymorphism was tightly associated with the increased risk of NAFLD and CHD. CHD is one of the main complications of NAFLD, whether TRIB1 rs17321515 polymorphism could affect the risk of CHD in general population and NAFLD patients in Chinese Han population was remain unknown. The present study was designed to investigate the association between TRIB1 rs17321515 polymorphism and the risk of CHD in general population and NAFLD patients in Chinese Han population, and investigate the effect of TRIB1 rs17321515 polymorphism on serum lipid levels.

Patients and methods

TRIB1 rs17321515 gene polymorphism was genotyped using the polymerase chain reaction (PCR) in healthy controls (n = 175), CHD patients (n = 155), NAFLD patients (n = 146), and NAFLD+CHD patients (n = 156). Serum lipid profiles were determined using biochemical methods. Statistical analyses were performed using SPSS 24.0 statistical software.

Results

The TRIB1 rs17321515 AA+GA genotypes were the significant risk factors for the CHD in general population (OR = 1.788; 95% CI: 1.104–2.897; P = 0.018) and in the NAFLD patients (OR = 1.760; 95% CI: 1.071–2.891; P = 0.026). After adjusted for age, gender, and body mass index, the risk for CHD in general population (OR = 1.857; 95% CI: 1.116–3.089; P = 0.017) and NAFLD patients was still significant (OR = 1.723; 95% CI: 1.033–2.873; P = 0.037). In addition, TRIB1 rs17321515 A carriers possess the higher lipid profiles in the included subjects.

Conclusions

TRIB1 rs17321515 AA+GA genotypes were significant associated with the risk of CHD in general population and in NAFLD patients in Chinese Han population. The rs17321515 A allele increases the serum lipid profiles in included subjects.