The Single Nucleotide Polymorphisms (rs1292037 and rs13137) in miR-21 Were Associated with T2DM in a Chinese Population

Association of miR-21 gene polymorphisms with cognitive function in patients with systemic lupus erythematosus

OBJECTIVES

The genetic variant rs13137 of miR-21 is associated with susceptibility in many diseases. However, the association with cognitive dysfunction (CD) in Chinese patients with systemic lupus erythematosus (SLE) remains unclear.

MATERIALS AND METHODS

Two hundred and thirty SLE patients (Non-CD) and 230 SLE-related CD patients (CD) were recruited. MiR-21 level was calculated by qRT-PCR. The ROC curve was established to evaluate the diagnosibility. The independent risk factors were identified by multivariate logistic regression analysis.

RESULTS

The miR-21 in CD group was obviously increased. Compared to AA carriers, the miR-21 level in carriers of rs13137 AT/TT in CD group were significantly lower than those in Non-CD group. The AUC was 0.9023 with sensitivity of 78.70% and specificity of 90.87%. Comparison of genotype and allele frequencies indicated that SLE patients carrying rs13137 AT/TT genotype had low risk of CD. Multivariate logistic regression analysis showed that the rs13137 polymorphism, education years, and MoCA score were correlated with CD risk.

CONCLUSION

The miR-21 rs13137 polymorphism was correlated with CD risk in the Chinese population. MiR-21 in rs13137 AT/TT carriers was significantly lower than that of AA genotype and the AT/TT genotype was correlated with low CD risk in SLE patients.

Genetic association of long non-coding RNA ANRIL polymorphism with the risk of type 2 diabetes mellitus in the Chinese Han population

BACKGROUND

Type 2 diabetes mellitus (T2DM) is closely associated with both environmental and genetic factors, involving multi-gene inheritance. This study examined the association between the polymorphic locus rs10757278 in long non-coding RNA ANRIL and T2DM.

METHODS

Polymerase chain reaction (PCR) was used to detect the rs10757278 polymorphism in the ANRIL gene. RT-qPCR measured ANRIL expression levels, and logistic regression identified independent risk factors for T2DM. Furthermore, the receiver operating characteristic (ROC) curve was constructed to evaluate the clinical diagnostic value of serum ANRIL levels in diagnosing T2DM.

RESULTS

The rs10757278 polymorphism of the ANRIL was associated with the development of T2DM. Specifically, the G allele increases the risk of T2DM, and individuals carrying the GG genotype have a higher risk of developing the disease. Significant differences were found in low-density lipoprotein cholesterol (LDL-C), fasting plasma glucose (FPG), and glycated hemoglobin (HbA1c) among T2DM patients with different genotypes of ANRIL rs10757278. The relative FPG and HbA1c levels were relatively lower in individuals with the AA genotype and higher in those with the GG genotype. Moreover, serum ANRIL levels in the T2DM group were lower than in the control group. Body mass index (BMI), the rs10757278 locus, and serum ANRIL levels were independent risk factors for the development of T2DM. The ROC curve showed that serum ANRIL levels have significant clinical diagnostic value for the diagnosis of T2DM.

CONCLUSION

The rs10757278 polymorphism in ANRIL was strongly associated with the genetic predisposition to T2DM.

Influence of rs1292037 Genetic Variant on miR-21 Gene Expression in Patients With Type 1 Diabetes Mellitus: A Case-Control Study

Background and Aims

Alterations in the expression pattern of miRNAs seem to be linked with autoimmune diseases such as type 1 diabetes mellitus (T1DM). Regarding the importance of assessing this potential link, we aimed to evaluate the relationship between miR-21 rs1292037 single-nucleotide polymorphism (SNP) and T1DM susceptibility. Furthermore, we investigated the miR-21 expression level in T1DM.

Methods

A total of 250 T1DM patients and 250 controls were genotyped using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and miR-21 expression levels were assessed using real-time PCR. Moreover, the potential targets of miR-21 were investigated using different bioinformatics web servers.

Results

Our results showed that the T/C genotype and the C allele were more frequent in T1DM patients than in controls. Individuals carrying the T/C genotype in overdominant model were 2.74-fold at a higher risk of T1DM (OR = 2.74; 95%CI, 1.78-4.27; p < 0.0001). In addition, miR-21 expression was more than twofold higher in patients than in controls (p < 0.0001) and it was found to be significantly upregulated when carrying the T/C genotype. Regarding miR-21 predicted target genes, its overexpression may be associated with beta cell death, diabetic nephropathy, inflammatory responses, impaired insulin production or secretion, and T-cell cytotoxicity, which are important in the initiation and progression of T1DM.

Conclusion

Our results suggested that miR-21 rs1292037 may confer genetic susceptibility to T1DM. Therefore, it seems that this genetic link should be further investigated to enhance diagnostic and therapeutic strategies in these patients.

Association of MiRNA Polymorphisms Involved in the PI3K/ATK/GSK3β Pathway with T2DM in a Chinese Population

Background

Single nucleotide polymorphisms (SNPs) in miRNA genes can influence the expression of miRNAs that modulate the PI3K/AKT/GSK3β pathway and play crucial roles in type 2 diabetes mellitus (T2DM) susceptibility. The purpose of this study was to investigate the association of SNPs in miRNA genes targeting the PI3K/AKT/GSK3β pathway with T2DM.

Methods

This case-control study included 1,416 subjects with T2DM and 1,694 non-diabetics. Eleven SNPs in miRNA genes (rs895819 in miR-27a, rs11888095 in miR-128a, rs2292832 in miR-149, rs6502892 in miR-22, rs13283671 in miR-31, rs1076063 and rs1076064 in miR-378a, rs10061133 in miR-449b, rs3746444 in miR-499a and rs678956 and rs476364 in miR-326) involved in PI3K/AKT/GSK3β pathway were genotyped by TaqMan Genotyping Assay, and the associations of these SNPs with T2DM were analyzed using online SHesis and SNPstats.

Results

The results showed that miR-378a rs1076064 G allele could be a protective factor against T2DM (p<0.001, OR=0.828; 95% CI:0.749-0.916), whereas the miR-31 rs13283671 C allele could increase the risk of developing T2DM (p=0.003, OR=1.193; 95% CI:1.060-1.342). In addition, the miR-378a rs1076063A-rs1076064G haplotype could be a protective against T2DM (p<0.001, OR=0.731; 95% CI:0.649-0.824). According to inheritance mode analysis, compared with the AA-AG genotype, the GG genotype of rs1076064 showed a protective effect in T2DM in the recessive mode (p<0.01, OR=0.71; 95% CI: 0.59-0.84). For rs13283671, compared with the TT genotype, the CT-CC genotype showed a risk effect in T2DM in the dominant inheritance model (p<0.01, OR=1.29; 95% CI: 1.12-1.49). Genotype-Tissue Expression (GTEx) Portal database analysis showed that miR-31 rs13283671 CT and CC genotypes had lower AKT expression than TT genotypes.

Conclusion

In conclusion, rs13283671 in miR-31 and rs1076064 in miR-378a involved in the PI3K/AKT/GSK3β pathway were associated with T2DM susceptibility in a Chinese population.

The correlation between miR-21 single nucleotide polymorphisms and the susceptibility of non-small cell lung cancer

BACKGROUND

There are still gaps in the study of the miRNA and its SNPs in some diseases such as non-small cell lung cancer (NSCLC). The study aimed to provide useful information on the treatment of NSCLC by investigating the association between miR-21 and its SNPs and NSCLC susceptibility.

METHODS

The serum of NSCLC patients (n = 205) and cancer-free controls (n = 217) were collected in this study for RNA extraction. The qRT-PCR was used to evaluate the expression of miR-21 and Taqman qPCR was used for genotyping and quantifying miR-21 SNPs (rs1292037, rs6504593). The association of the expression of miR-21, the miR-21 SNPs and their interactions with the susceptibility of NSCLC patients were analysed using logistic regression analysis in this study.

RESULTS

This study showed that the overexpression of miR-21 was related to NSCLC. The C allele and CC genotypes of rs1292037 and rs6504593 were associated with the increased risk of NSCLC susceptibility. Moreover, the interactions of rs1292037 and rs6504593 were also a risk factor for NSCLC. The CC genotypes of rs1292037 and rs6504593 were associated with the increase of miR-21 expression.

CONCLUSION

The overexpression of miR-21, the miR-21 SNPs rs1292037 and rs6504593 and their interactions were associated with NSCLC susceptibility. MiR-21 and its SNPs have potential for being targets in the therapy of NSCLC. This study provided important information for the treatment of NSCLC.

Investigations of associations between TNF-α promoter polymorphisms and genetic susceptibility to type 2 diabetes mellitus: A cross-sectional study in Chinese Han population

Type 2 diabetes (T2DM) is characterised by insulin resistance and a relative shortage of insulin secretion. Tumour necrosis factor-α (TNF-α) plays an important role in insulin resistance by impairing insulin signal transduction. The variants of the TNF-α promoter region are considered to influence its transcription and are associated with the TNF-α level. Therefore, it is worth detecting the association of the variants in the TNF-α gene with the development of T2DM. The aim of this study was to investigate the association of five variants (rs1799964, rs1800630, rs1799724, rs1800629 and rs361525) in the TNF-α gene promoter region with T2DM in a Chinese Han population. A total of 713 subjects with T2DM and 751 nondiabetic subjects were genotyped using the TaqMan method. The associations of the five variants with the development of T2DM were evaluated. The associations of the five variant genotypes with metabolic traits in nondiabetic subjects were analysed. Our data showed that the A allele of rs1800629 could increase the risk of developing T2DM (p = .002, OR = 1.563; 95% CI: 1.18-2.08). According to inheritance mode analysis, compared with the G/G genotype, the G/A+2A/A genotype of rs1800629 showed a risk effect on T2DM in the log-additive mode (p = .002, OR = 1.56; 95% CI: 1.17-2.07). The haplotypes analysis identified that the rs1799724-rs1800629CA was associated with high risk of the development of T2DM (p = .002, OR = 1.559, 95% CI: 1.173-2.072). Conversely, the rs1799724-rs1800629CG was a protective haplotype of T2DM (p = .001, OR = 0.732, 95% CI: 0.607-0.884). Moreover, compared with the rs1799964 (T/T+C/T) genotype, the rs1799964 C/C genotype was associated with higher glycosylated haemoglobin (HbA1c) levels in nondiabetic subjects (p = .017). Our results revealed that the rs1800629 in the TNF-α gene promoter region was associated with T2DM in a Chinese Han population.

Clinical significance of circulating long non-coding RNA SNHG1 in type 2 diabetes mellitus and its association with cell proliferation of pancreatic β-cell

BACKGROUND

To explore the association of long non-coding RNA (lncRNA) SNHG1/ miR-195 axis with type 2 diabetes mellitus (T2DM) and islet function.

METHODS

The expression of SNHG1 and miR-195 was measured in T2DM patients and in healthy subjects. Correlation between indciators was evaluated using Pearson correlation analysis. INS-1 cells were used to perform the cell function assays. Insulin secretion by INS-1 was detected using ELISA. Cell counting kit-8 (CCK-8) and flow cytometry was used to detect cell proliferation and apoptosis. Luciferase report assay was to used to verify the target of SNHG1.

RESULTS

The expression of SNHG1 was increased and miR-195 level was decreased in the serum of T2DM patients. Both SNHG1 and miR-195 could be biomarkers for T2DM diagnosis. The fasting plasma glucose (FPG) and HbA1c were positively related to SNHG1 and negatively related to miR-195. SNHG1 inhibited insulin secretion, and cell proliferation and promoted apoptosis of INS-1 cells via binding to miR-195.

CONCLUSIONS

Detection of SNHG1 and miR-195 might predict T2DM. SNHG1 could suppress proliferation and insulin secretion, but promote apoptosis of INS-1 cells via sponging miR-195.

KCNQ1 rs2237895 gene polymorphism increases susceptibility to type 2 diabetes mellitus in Asian populations

BACKGROUND

The association of single nucleotide polymorphism of KCNQ1 gene rs2237895 with type 2 diabetes mellitus (T2DM) is currently controversial. It is unknown whether this association can be gene realized across different populations.

AIM

To determine the association of KCNQ1 rs2237895 with T2DM and provide reliable evidence for genetic susceptibility to T2DM.

METHODS

We searched PubMed, Embase, Web of Science, Cochrane Library, Medline, Baidu Academic, China National Knowledge Infrastructure, China Biomedical Liter-ature Database, and Wanfang to investigate the association between KCNQ1 gene rs2237895 and the risk of T2DM up to January 12, 2022. Review Manager 5.4 was used to analyze the association of the KCNQ1 gene rs2237895 polymorphism with T2DM and to evaluate the publication bias of the selected literature.

RESULTS

Twelve case-control studies (including 11273 cases and 11654 controls) met our inclusion criteria. In the full population, allelic model [odds ratio (OR): 1.19; 95% confidence interval (95%CI): 1.09-1.29; P < 0.0001], recessive model (OR: 1.20; 95%CI: 1.11-1.29; P < 0.0001), dominant model (OR: 1.27. 95%CI: 1.14-1.42; P < 0.0001), and codominant model (OR: 1.36; 95%CI: 1.15-1.60; P = 0.0003) (OR: 1.22; 95%CI: 1.10-1.36; P = 0.0002) indicated that the KCNQ1 gene rs2237895 polymorphism was significantly correlated with susceptibility to T2DM. In stratified analysis, this association was confirmed in Asian populations: allelic model (OR: 1.25; 95%CI: 1.13-1.37; P < 0.0001), recessive model (OR: 1.29; 95%CI: 1.11-1.49; P = 0.0007), dominant model (OR: 1.35; 95%CI: 1.20-1.52; P < 0.0001), codominant model (OR: 1.49; 95%CI: 1.22-1.81; P < 0.0001) (OR: 1.26; 95%CI: 1.16-1.36; P < 0.0001). In non-Asian populations, this association was not significant: Allelic model (OR: 1.06, 95%CI: 0.98-1.14; P = 0.12), recessive model (OR: 1.04; 95%CI: 0.75-1.42; P = 0.83), dominant model (OR: 1.06; 95%CI: 0.98-1.15; P = 0.15), codominant model (OR: 1.08; 95%CI: 0.82-1.42; P = 0.60. OR: 1.15; 95%CI: 0.95-1.39; P = 0.14).

CONCLUSION

KCNQ1 gene rs2237895 was significantly associated with susceptibility to T2DM in an Asian population. Carriers of the C allele had a higher risk of T2DM. This association was not significant in non-Asian populations.

Association between genetic variants of microRNA-21 and microRNA-155 and systemic lupus erythematosus: A case-control study from a Chinese population

Background

Systemic lupus erythematosus (SLE) is a common autoimmune disease, and its pathogenesis remains unclear. The alteration of genetic materials is believed to play a role in SLE development. This study evaluated the association between the genetic variants of microRNA‐21 (miR‐21) and microRNA‐155 (miR‐155) and SLE.

Methods

The SNaPshot genotyping method was used to detect the genotypes of selected SNPs in patients and controls. The expression of miR‐21 and miR‐155 was analyzed using reverse transcription‐quantitative polymerase chain reaction (RT‐qPCR). The functional annotation and the biological effects of SNPs were assessed by HaploReg V4.1 and Regulome DB V2.0 software. The Hardy–Weinberg equilibrium test was used to gather statistics, and odds ratios (ORs) and 95% confidence intervals (CIs) were evaluated by logistic regression.

Results

The distribution difference of TA genotype in rs767649 was observed (TA vs. T/T: OR = 0.68, 95%CI, 0.48–0.95, p = 0.026). There was a significant difference in the T/A + A/A (T/A + A/A vs. T/T: OR = 0.68, 95%CI, 0.49–0.94, p = 0.020). A significant difference in T allele distribution was found in the depressed complement of SLE (T vs. A: OR = 0.67, 95%CI, 0.47–0.95, p = 0.026). There were significant differences in genetic variants of rs13137 between the positive and the negative SSB antibodies (Anti‐SSB) (T vs. A: OR = 0.67, 95%CI, 0.47–0.95, p = 0.026; T/A + T/T vs. AA: OR = 2.23, 1.18–4.49, p = 0.013). The expression levels of miR‐21 and miR‐155 were significantly higher in patients than in controls (p < 0.001).

Conclusions

This study provides novel insight that genetic variants of rs767649 and rs13137 are associated with susceptibility to SLE.