Type 2 diabetes mellitus-related genetic polymorphisms in microRNAs and microRNA target sites

A, Sarma DK, Verma V, Nagpal R, Mohania D, Tiwari R, Kumar M. Deciphering the complex interplay of risk factors in type 2 diabetes mellitus: A comprehensive review

The complex and multidimensional landscape of type 2 diabetes mellitus (T2D) is a major global concern. Despite several years of extensive research, the precise underlying causes of T2D remain elusive, but evidence suggests that it is influenced by a myriad of interconnected risk factors such as epigenetics, genetics, gut microbiome, environmental factors, organelle stress, and dietary habits. The number of factors influencing the pathogenesis is increasing day by day which worsens the scenario; meanwhile, the interconnections shoot up the frame. By gaining deeper insights into the contributing factors, we may pave the way for the development of personalized medicine, which could unlock more precise and impactful treatment pathways for individuals with T2D. This review summarizes the state of knowledge about T2D pathogenesis, focusing on the interplay between various risk factors and their implications for future therapeutic strategies. Understanding these factors could lead to tailored treatments targeting specific risk factors and inform prevention efforts on a population level, ultimately improving outcomes for individuals with T2D and reducing its burden globally.

Genotype-based precision nutrition strategies for the prediction and clinical management of type 2 diabetes mellitus

Globally, type 2 diabetes mellitus (T2DM) is one of the most common metabolic disorders. T2DM physiopathology is influenced by complex interrelationships between genetic, metabolic and lifestyle factors (including diet), which differ between populations and geographic regions. In fact, excessive consumptions of high fat/high sugar foods generally increase the risk of developing T2DM, whereas habitual intakes of plant-based healthy diets usually exert a protective effect. Moreover, genomic studies have allowed the characterization of sequence DNA variants across the human genome, some of which may affect gene expression and protein functions relevant for glucose homeostasis. This comprehensive literature review covers the impact of gene-diet interactions on T2DM susceptibility and disease progression, some of which have demonstrated a value as biomarkers of personal responses to certain nutritional interventions. Also, novel genotype-based dietary strategies have been developed for improving T2DM control in comparison to general lifestyle recommendations. Furthermore, progresses in other omics areas (epigenomics, metagenomics, proteomics, and metabolomics) are improving current understanding of genetic insights in T2DM clinical outcomes. Although more investigation is still needed, the analysis of the genetic make-up may help to decipher new paradigms in the pathophysiology of T2DM as well as offer further opportunities to personalize the screening, prevention, diagnosis, management, and prognosis of T2DM through precision nutrition.

Circular RNA PIP5K1A Promotes Glucose and Lipid Metabolism Disorders and Inflammation in Type 2 Diabetes Mellitus

Disorders of glucose and lipid metabolism are an important cause of type 2 diabetes mellitus (T2DM). Identifying the molecular mechanism of metabolic disorders is key to the treatment of T2DM. The study was to investigate the effect of circRNA PIP5K1A (circPIP5K1A) on glucose and lipid metabolism and inflammation in T2DM rats. A T2DM rat model was established, and then the T2DM rats were injected with lentiviral vectors that interfere with circPIP5K1A, miR-552-3p, or ENO1 expression. Fasting blood glucose (FBG) and fasting insulin (FINS) levels of rats were detected by an automatic analyzer and insulin detection kit, and HOMA-IR was calculated. Lipid metabolism was assessed by measuring serum levels of TG, TC, LDL-C, leptin, and resistin. Serum levels of inflammatory factors (TNF-α and IL-6) were detected by ELISA. The pathological conditions of pancreatic tissue were observed by HE staining. circPIP5K1A, miR-552-3p and ENO1 levels were recorded. The experimental results showed that circPIP5K1A and ENO1 were up-regulated, and miR-552-3p was down-regulated in T2DM rats. Down-regulating circPIP5K1A or up-regulating miR-552-3p reduced blood glucose and lipid levels, inhibited inflammation, and improved pancreatic histopathological changes in T2DM rats. In addition, up-regulating ENO1 rescued the ameliorating effects of down-regulated circPIP5K1A on T2DM rats. In general, downregulating circPIP5K1A improves insulin resistance and lipid metabolism disorders and inhibits inflammation by targeting miR-552-3p to mediate ENO1 expression.

Identification of a miRSNP Regulatory Axis in Abdominal Aortic Aneurysm by a Network and Pathway-Based Integrative Analysis

Abdominal aortic aneurysm (AAA) refers to local abnormal expansion of the abdominal aorta and mostly occurs in elderly men. MicroRNA (miRNA) is single-stranded RNA consisting of 18-25 nucleotides. It plays a key role in posttranscriptional gene expression and in the regulation of human functions and disease development. miRNA exerts its function mainly through the binding of complementary base pairs to the 3' regulatory region of mRNA transcripts. Therefore, miRNA-related single-nucleotide polymorphisms (miRSNPs) can affect miRNA expression and processing kinetics. miRSNPs can be classified based on their location: miRSNPs within miRNA-producing genes and miRSNPs within miRNA target genes. Increasing evidence indicates that miRSNPs play an important role in the pathogenic kinetics of cardiovascular diseases. The aim of this study was to identify potential miRNAs and integrate them into a miRSNP-based disease-related pathway network, the results of which are of great significance to the interpretation of the potential mechanisms and functions of miRSNPs in the pathogenesis of diseases.

Clinical Implications of Krüpple-like Transcription Factor KLF-14 and Certain Micro-RNA (miR-27a, miR-196a2, miR-423) Gene Variations as a Risk Factor in the Genetic Predisposition to PCOS

Polycystic ovary syndrome (PCOS) is a disorder with a symptomatic manifestation of an array of metabolic and endocrine impairments. PCOS has a relatively high prevalence rate among young women of reproductive age and is a risk factor for some severe metabolic diseases such as T2DM, insulin insensitivity, and obesity, while the most dominant endocrine malfunction is an excess of testosterone showing hyperandrogenism and hirsutism. MicroRNAs have been implicated as mediators of metabolic diseases including obesity and insulin resistance, as these can regulate multiple cellular pathways such as insulin signaling and adipogenesis. Genome-wide association studies during the last few years have also linked the Krüpple-like family of transcription factors such as KLF14, which contribute in mechanisms of mammalian gene regulation, with certain altered metabolic traits and risk of atherosclerosis and type-2 DM. This study has characterized the biochemical and endocrine parameters in PCOS patients with a comprehensive serum profiling in comparison to healthy controls and further examined the influence of allelic variations for miRNAs 27a (rs895819 A > G), 196a2 (rs11614913 C > T), 423 (rs6505162C > A), and transcription factor KLF14 (rs972283 A > G) gene polymorphism on the risk and susceptibility to PCOS. The experimental protocol included amplification refractory mutation-specific (ARMS)-PCR to detect and determine the presence of these polymorphic variants in the study subjects. The results in this case−control study showed that most of the serum biomarkers, both biochemical and endocrine, that were analyzed in the study demonstrated statistically significant alterations in PCOS patients, including lipids (LDL, HDL, cholesterol), T2DM markers (fasting glucose, free insulin, HOMA-IR), and hormones (FSH, LH, testosterone, and progesterone). The distribution of Krüppel-like factor 14 rs972283 G > A, miR-27a rs895819 A > G, and miR-196a-2 rs11614913 C > T genotypes analyzed within PCOS patients and healthy controls in the considered population was significant (p < 0.05), except for miR-423 rs6505162 C > A genotypes (p > 0.05). The study found that in the codominant model, KLF14-AA was strongly associated with greater PCOS susceptibility (OR 2.35, 95% CI = 1.128 to 4.893, p < 0.022), miR-27a-GA was linked to an enhanced PCOS susceptibility (OR 2.06, 95% CI = 1.165 to 3.650, p < 0.012), and miR-196a-CT was associated with higher PCOS susceptibility (OR 2.06, 95% CI = 1.191 to 3.58, p < 0.009). Moreover, allele A of KLF-14 and allele T of miR-196a2 were strongly associated with PCOS susceptibility in the considered population.

Circulating miRNA as potential biomarkers for diabetes mellitus type 2: should we focus on searching for sex differences?

microRNAs are non-coding molecules, approximately 22 nucleotides in length, that regulate various cellular processes. A growing body of evidence has suggested that their dysregulated expression is involved in the pathogenesis of diverse diseases, including diabetes mellitus type 2 (DM2). Early onset of this chronic and complex metabolic disorder is frequently undiagnosed, leading to the development of severe diabetic complications. Notably, DM2 prevalence is rising globally and an increasing number of articles demonstrate that DM2 susceptibility, development, and progression differ between males and females. Therefore, this paper discusses the role of microRNAs as a source of novel diagnostic biomarkers for DM2 and aims to underline the importance of sex disparity in biomarkers research. Taking into account an urgent need for the development of sex-specific diagnostic strategies in DM2, recent results have shown that circulating miRNAs are promising candidates for sex-biased biomarkers.

Role of the KCNJ Gene Variants in the Clinical Outcome of Type 1 Diabetes

Diabetes is considered as a disease with a wide and continuous clinical spectrum, ranging from Type 1 (T1D) and Type 2 Diabetes (T2D) with complex multifactorial causes. In the last years, particular attention has been focused on the predictive value and therapeutic potential of single nucleotide polymorphisms (SNPs). SNPs can alter the seed-sequence in miRNA's loci and miRNA target sites causing changes in the structure and influencing the binding function. Only few studies have investigated the clinical influence of SNPs, in particular potassium inwardly rectifying channel, subfamily J, member 11 (KCNJ) gene variants in T1D population. The aim of the study is to investigate the occurrence and the possible metabolic significance of KCNJ polymorphism in a group of pediatric patients with T1D. The study was performed in a cohort of 90 Caucasian children and adolescents with T1D and 93 healthy subjects. Rs5210 polymorphism has been analyzed with a prevalence of the GG genotype in the patient group suggesting its association with T1D. Therefore, a relationship was found between GG genotype and body mass index (BMI) at diagnosis and insulin requirement (IR) after 6 months. The study suggested an action for rs5210 in determining the metabolic features of T1D pediatric patients, by showing some clues of insulin resistance in patients carrying that polymorphism.

Pharmacogenetics of Type 2 Diabetes-Progress and Prospects

Type 2 diabetes mellitus (T2D) is a chronic metabolic disease resulting from insulin resistance and progressively reduced insulin secretion, which leads to impaired glucose utilization, dyslipidemia and hyperinsulinemia and progressive pancreatic beta cell dysfunction. The incidence of type 2 diabetes mellitus is increasing worldwide and nowadays T2D already became a global epidemic. The well-known interindividual variability of T2D drug actions such as biguanides, sulfonylureas/meglitinides, DPP-4 inhibitors/GLP1R agonists and SGLT-2 inhibitors may be caused, among other things, by genetic factors. Pharmacogenetic findings may aid in identifying new drug targets and obtaining in-depth knowledge of the causes of disease and its physiological processes, thereby, providing an opportunity to elaborate an algorithm for tailor or precision treatment. The aim of this article is to summarize recent progress and discoveries for T2D pharmacogenetics and to discuss the factors which limit the furthering accumulation of genetic variability knowledge in patient response to therapy that will allow improvement the personalized treatment of T2D.

Multi-omics profiling reveals microRNA-mediated insulin signaling networks

Background

MicroRNAs (miRNAs) play a key role in mediating the action of insulin on cell growth and the development of diabetes. However, few studies have been conducted to provide a comprehensive overview of the miRNA-mediated signaling network in response to glucose in pancreatic beta cells. In our study, we established a computational framework integrating multi-omics profiles analyses, including RNA sequencing (RNA-seq) and small RNA sequencing (sRNA-seq) data analysis, inverse expression pattern analysis, public data integration, and miRNA targets prediction to illustrate the miRNA-mediated regulatory network at different glucose concentrations in INS-1 pancreatic beta cells (INS-1), which display important characteristics of the pancreatic beta cells.

Results

We applied our computational framework to the expression profiles of miRNA/mRNA of INS-1, at different glucose concentrations. A total of 1437 differentially expressed genes (DEGs) and 153 differentially expressed miRNAs (DEmiRs) were identified from multi-omics profiles. In particular, 121 DEmiRs putatively regulated a total of 237 DEGs involved in glucose metabolism, fatty acid oxidation, ion channels, exocytosis, homeostasis, and insulin gene regulation. Moreover, Argonaute 2 immunoprecipitation sequencing, qRT-PCR, and luciferase assay identified Crem, Fn1, and Stc1 are direct targets of miR-146b and elucidated that miR-146b acted as a potential regulator and promising target to understand the insulin signaling network.

Conclusions

In this study, the integration of experimentally verified data with system biology framework extracts the miRNA network for exploring potential insulin-associated miRNA and their target genes. The findings offer a potentially significant effect on the understanding of miRNA-mediated insulin signaling network in the development and progression of pancreatic diabetes.

miR-3188 (rs7247237-C>T) Single-Nucleotide Polymorphism Is Associated With the Incidence of Vascular Complications in Chinese Patients With Type 2 Diabetes

miR-3188, one of the earliest discovered microRNAs, is involved in regulating the mTOR-p-PI3K/AKT pathway, thus affecting the progression of diabetic complications. In this study, we observed that the miR-3188 (rs7247237-C>T) polymorphism not only affected the production of nitric oxide (NO) production in endothelial cells, but also significantly associated with the incidence of vascular complications in Chinese patients with type 2 diabetes. Mechanistic analyses indicate that miR-3188 (rs7247237-T) polymorphism inhibited its own expression and upregulated the expression of gstm1 and trib3, which impairs NO production in human endothelial cells through inactivating AKT/eNOS signal transduction pathway. In addition, our clinical retrospective study indicated that, compared with patients with the CC genotype (n = 351), patients with rs7247237 TT + CT genotypes (n = 580) exhibited an increased risk of major vascular events during intensive glucose control treatment (hazard ratio = 1.560; 95% CI: 1.055-2.307, P = 0.025). Simultaneously, the risk of major vascular events was marginally decreased in patients with the CC genotype during intensive glucose control treatment compared with standard treatment (hazard ratio = 0.666; 95% CI: 0.433-1.016, P = 0.053). Our findings indicate that the miR-3188 (rs7247237-C>T) polymorphism is associated with the incidence of vascular complications in Chinese patients with type 2 diabetes, likely due to its remarkable effect on miR-3188 expression.

miR-210 in Exosomes Derived from Macrophages under High Glucose Promotes Mouse Diabetic Obesity Pathogenesis by Suppressing NDUFA4 Expression

OBJECTIVE

Type 2 diabetes mellitus (T2DM) is featured by insulin resistance and lipid metabolism dysregulation. A large number of miRNAs were identified in exosomes derived from adipose tissue macrophages associated with T2DM pathogenesis, but its pathogenic roles remain unknown. This study is aimed at investigating the function of miR-210 in diabetic obesity.

METHODS

Exosomes from mouse macrophage RAW264.7 cells were characterized by electron microscopy, combined with biomarker expression by western blot. Expression of miR-210 was determined by quantitative RT-PCR. Glucose uptake was measured by a fluorometric method, and the mitochondrial respiratory chain activity was evaluated by ELISA. The target gene of miR-210 was validated by dual-luciferase reporter and pull-down assays. A mouse obese diabetic model was established by a high-fat diet and streptozocin treatment.

RESULTS

miR-210 was highly expressed in exosomes derived from high glucose-induced macrophage RAW264.7 cells. Macrophage-derived exosomes impaired glucose uptake and mitochondrial CIV complex activity and suppressed NADH dehydrogenase ubiquinone 1 alpha subcomplex 4 (NDUFA4) expression in 3T3-L1 adipocytes. miR-210 directly bind with mRNA sequences of NDUFA4 gene. Inhibition of miR-210 mitigated the effects of macrophage-derived exosomes on the glucose uptake and complex IV (CIV) activity in 3T3-L1 adipocytes, and NDUFA4 overexpression offset the inhibition of glucose uptake and CIV activity by macrophage-derived exosomes. Furthermore, mice with miR-210 knockout showed greatly repressed diabetic obesity development.

CONCLUSION

miR-210 derived from adipose tissue macrophages promotes mouse obese diabetes pathogenesis by regulating glucose uptake and mitochondrial CIV activity through targeting NDUFA4 gene expression.

A novel epigenetic mechanism of FXR inhibiting GLP-1 secretion via miR-33 and its downstream targets

Type II diabetes is a complex, chronic, and progressive disease. Previously, we demonstrate that FXR inhibits GLP-1 secretion via interacting with CREB to inhibit the transcriptional activity of CREB, thus promoting the development of type II diabetes. Epigenetic modifications, such as DNA methylation, histone acetylation, and post-transcriptional RNA regulation, are essential mediators contributing to diabetes-associated morbidity and mortality. Thus, we attempted to investigate the epigenetic mechanisms of FXR modulating GLP-1 secretion. Firstly, the involvement of histone acetylation, DNA methylation, and post-transcriptional regulation in FXR inhibiting GLP-1 secretion was verified. As FXR overexpression significantly inhibited the activity of GCG 3'-UTR, we hypothesize that miRNA might participate in the mechanism. Two online tools and real-time PCR revealed that FXR promoted miR-33 expression. Moreover, miR-33 inhibited the expression of GCG and CREB1 through direct targeting in STC-1 cells. FXR overexpression in STC-1 cells significantly reduced the mRNA expression and protein levels of both GCG and CREB1, as well as the secretion of GLP-1; miR-33 inhibition exerted opposing effects. More importantly, the effects of FXR overexpression were significantly reversed by miR-33 inhibition, indicating that FXR inhibited GLP-1 secretion through promoting miR-33 expression, therefore inhibiting the expression of miR-33 targets, GCG and CREB1. In conclusion, we provide a novel epigenetic mechanism by which FXR inhibits the secretion of GLP-1 through miR-33 and its two downstream targets, GCG and CREB1. These findings might provide innovative strategies for improving type II diabetes, which needs further in vivo and clinical investigation.

The association of two common polymorphisms in miRNAs with diabetes mellitus: A meta-analysis

BACKGROUND

MicroRNAs (miRNAs) are small noncoding single-stranded RNAs with a length of ∼21 nucleotides. Single nucleotide polymorphisms (SNPs) may affect the function of miRNAs, resulting in a variety of disorders in vivo. Recently, diabetes mellitus (DM) has become a global healthcare problem, and several studies have reported that 2 common polymorphisms (miRNA 146a rs2910164 and miRNA 27a rs895819) are related to susceptibility to diabetes. Given that no consensus had been reached regarding the association of the 2 polymorphisms with diabetes, we conducted this meta-analysis.

METHODS

Four databases (PubMed, EMBASE, Cochrane, and Web of Science) were searched up to January 9, 2019. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to evaluate the association strength. Subgroup and sensitivity analyses were also performed.

RESULTS

Six studies involving 2585 cases and 2435 controls for miR146a rs2910164 and 5 studies involving 2922 cases and 2781 controls for miR27a rs895819 were ultimately analyzed in our meta-analysis. Based on pooled results, no statistical significance in association between rs2910164 and diabetes in Caucasians, Asians, or type 2 diabetes was observed in any genetic models. Nevertheless, we found a significant correlation between miRNA27a rs895819 and diabetes in the homozygote model (CC vs TT: OR = 0.58, 95%CI [0.35,0.98]) and recessive model (CC vs CT + TT: OR = 0.59, 95%CI [0.36,0.97]). By performing subgroup analysis, we also observed that C allele conveyed a significant protective effect against diabetes development in Caucasians (C vs T: OR = 0.67, 95%CI [0.52,0.85]).

CONCLUSION

In conclusion, this meta-analysis indicated that miRNA27a rs895819 might play a protective role in diabetes, and miRNA146a rs2910164 likely had no association with diabetes.

Exercise Reduces Insulin Resistance in Type 2 Diabetes Mellitus via Mediating the lncRNA MALAT1/MicroRNA-382-3p/Resistin Axis

Insulin resistance (IR) is the primary pathological mechanism underlying type 2 diabetes mellitus (T2DM). Here, the study aimed to ascertain whether and how exercise mediates IR in T2DM. An in vivo mouse model of high-fat diet-induced IR and an in vitro high-glucose-induced IR model were constructed. High long non-coding RNA (lncRNA) metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) expression was detected in T2MD and was positively correlated with HOMA-IR and resistin levels. Then, short hairpin RNA targeting MALAT1 (sh-MALAT1) or pcDNA-MALAT1 was delivered into human umbilical vein endothelial cells (HUVECs) to knock down or upregulate its expression, respectively. Silencing of MALAT1 resulted in reduced levels of resistin, Ang II, tumor necrosis factor alpha (TNF-α), interleukin-6 (IL-6), soluble intercellular adhesion molecule-1 (sICAM-1), soluble vascular cell adhesion molecule-1 (sVCAM-1), endothelin-1 (ET-1), and p-insulin receptor substrate-1 (p-IRS)/ISR-1, and decreased cell migration, as well as enhanced glucose uptake and levels of nitric oxide (NO) and p-Akt/Akt. In the IR mouse model, exercise was observed to downregulate MALAT1 to reduce resistin, whereby exercise reduced homeostatic model assessment-insulin resistance (HOMA-IR). Besides, exercise also elevated microRNA-382-3p (miR-382-3p) expression in the serum of IR mice. Dual-luciferase reporter and RNA binding protein immunoprecipitation (RIP) assays identified that MALAT1 could bind to miR-382-3p to upregulate resistin. Collectively, the key observations of the study provide evidence that inhibition of MALAT1 elevates miR-382-3p to repress resistin, which consequently underlies the mechanism of exercise protecting against IR, highlighting a direction for T2DM therapy development.

MIR4532 gene variant rs60432575 influences the expression of KCNJ11 and the sulfonylureas-stimulated insulin secretion

PURPOSE

Diabetes mellitus is a major chronic disease and causes over one million deaths. KCNJ11 genetic polymorphisms influence the response of first-line oral antidiabetic agent sulfonylureas. Hsa-miR-4532 correlates with diabetic nephropathy and has a high abundance in urine. MIR4532 rs60452575 G>A variant changes the mature sequence of hsa-miR-4532. We studied whether the genetic polymorphisms of MIR4532 rs60452575 would influence KCNJ11 expression and sulfonylurea-stimulated insulin secretion or not.

METHODS

To estimate the influence that rs60452575 G>A variant has on the interaction of hsa-miR-4532 and KCNJ11, we constructed a pmirGLO vector containing 3' UTR of KCNJ11 and co-transfected it with wild-type and mutant hsa-miR-4532 mimics into HEK293 cells; and we overexpressed wild-type and mutant hsa-miR-4532 mimics into HEK293 cells and MIN6 cells to access its effects on KCNJ11 expression and response of sulfonylureas.

RESULTS

MIR4532 rs60452575 G>A variant appeared to disrupt the repression of KCNJ11 expression in both cell lines, and reduce the sulfonylurea-stimulated insulin secretion by breaking the binding of the hsa-miR-4532 to 3' UTR of KCNJ11 in MIN6 cells.

CONCLUSIONS

Our study indicates that MIR4532 rs60452575 variant influences KCNJ11 expression and sulfonylurea response. It might be a potential predictive factor of sulfonylureas therapy.

STAT3 rs4796793 contributes to lung cancer risk and clinical outcomes of platinum-based chemotherapy

BACKGROUND

Signal transducer and activator of transcription (STAT) 3 plays a vital role in carcinogenesis and drug response. Platinum-based chemotherapy is the first-line treatment for lung cancer patients, especially those in advanced stages. In the present study, we investigated the association of STAT3 polymorphism rs4796793 with lung cancer susceptibility, platinum-based chemotherapy response, and toxicity.

METHODS

A total of 498 lung cancer patients and 213 healthy controls were enrolled in the study. 467 of them received at least 2-cycle platinum-based chemotherapy. Unconditional logistical regression analysis was used to assess the associations.

RESULTS

STAT3 rs4769793 G allele carriers had an increased susceptibility of lung cancer [additive model: adjusted OR (95% CI) 1.376 (1.058-1.789), P = 0.017; recessive model: adjusted OR (95% CI) 1.734 (1.007-2.985), P = 0.047]. Rs4769793 was not significantly associated with platinum-based chemotherapy response in lung cancer patients. STAT3 rs4796793 was associated with an increased risk of severe overall toxicity [additive model: adjusted OR (95% CI) 1.410 (1.076-1.850), P = 0.013; dominant model: adjusted OR (95% CI) 1.638 (1.091-2.459), P = 0.017], especially hematological toxicity [additive model: adjusted OR (95% CI) 1.352 (1.001-1.826), P = 0.049].

CONCLUSIONS

STAT3 rs4796793 may be considered as a potential candidate biomarker for the prediction of susceptibility and prognosis in Chinese lung cancer patients. However, well-designed studies with larger sample sizes are required to verify the results.

Association of Polymorphisms in miRNA Processing Genes With Type 2 Diabetes Mellitus and Its Vascular Complications in a Southern Chinese Population

Objective: To evaluate the potential association between the genetic variants in miRNA processing genes (RAN, XPO5, DICER1, and TARBP2) and susceptibility to type 2 diabetes mellitus (T2DM) and its vascular complications, as well as to further investigate their interaction with environmental factors in type 2 diabetes. Methods: We conducted a case-control study in genotyping of five polymorphic loci, including RAN rs14035, XPO5 rs11077, DICER1 rs13078, DICER1 rs3742330, and TARBP2 rs784567, in miRNA processing genes to explore the risk factors for T2DM and diabetic vascular complications. Haplotype analyses, interactions of gene-gene and interactions of gene-environment were performed too. Results: We identified a 36% decreased risk of developing T2DM in individuals with the minor A allele in DICER1 rs13078 (OR: 0.64; 95%CI: 0.42-0.95; P: 0.026). The AA haplotype in DICER1 was also associated with a protective effect on T2DM compared with the AT haplotype (OR: 0.63; 95%CI: 0.42-0.94; P-value: 0.023). T2DM patients with the TT+TC genotype at RAN rs14035 had a 1.89-fold higher risk of developing macrovascular complications than patients with the CC genotype (OR: 1.89; 95%CI: 1.04-3.45; P-value: 0.037). We also identified two three-factor interaction models. One is a three-factor [DICER1 rs13078, body mass index (BMI), and triglyceride (TG)] interaction model for T2DM (OR: 5.93; 95%CI: 1.25-28.26; P = 0.025). Another three-factor [RAN rs14035, hypertension (HP), and duration of T2DM (DOD)] interaction model was found for macrovascular complications of T2DM (OR = 41.60, 95%CI = 11.75-147.35, P < 0.001). Conclusion: Our study provides new evidence that two single nucleotide polymorphisms (SNPs) of the miRNA processing genes, DICER1 and RAN, and their interactions with certain environmental factors might contribute to the risk of T2DM and its vascular complications in the southern Chinese population.

Farnesoid X receptor interacts with cAMP response element binding protein to modulate glucagon-like peptide-1 (7-36) amide secretion by intestinal L cell

Type II diabetes is a complex, chronic, and progressive disease. Glucagon-like peptide-1 (7-36) amide (GLP-1) is a gut hormone released from the L cells which stimulate insulin secretion and promotes insulin gene expression and β-cell growth and differentiation. Elevated levels of hormones secreted by L cells are an essential reason for diabetes improvement. GLP-1 secretion has been reported to be regulated by farnesoid X receptor (FXR), a transcriptional sensor for bile acids which also acts on glucose metabolism. Herein, we attempted to evaluate the effect of FXR on GLP-1 secretion in mouse enteroendocrine L cell line, namely STC-1, and to investigate the underlying mechanism. FXR inversely regulated GLP-1 secretion in STC-1. A total of 24 nonredundant human proteins were shown to be related to FXR by BioGRID; KEGG pathway analysis revealed that FXR was related to glucagon signaling pathway, particularly with the transcriptional activators CREB, PGC1α, Sirt1, and CBP. CREB could positively regulate GLP-1 secretion in STC-1 cells. FXR combined with CREB to inhibit its transcriptional activity, thus inhibiting proprotein convertase subtilisin/kexin type 1 protein level and GLP-1 secretion. In the present study, we demonstrated a negative regulation of GLP-1 secretion by FXR in L cell line, STC-1; FXR exerts its function in L cells through interacting with CREB, a crucial transcriptional regulator of cAMP-CREB signaling pathway, to inhibit its transcriptional activity. Targeting FXR to rescue GLP-1 secretion may be a promising strategy for type II diabetes.

Exercise Training-Induced Changes in MicroRNAs: Beneficial Regulatory Effects in Hypertension, Type 2 Diabetes, and Obesity

MicroRNAs are small non-coding RNAs that regulate gene expression post-transcriptionally. They are involved in the regulation of physiological processes, such as adaptation to physical exercise, and also in disease settings, such as systemic arterial hypertension (SAH), type 2 diabetes mellitus (T2D), and obesity. In SAH, microRNAs play a significant role in the regulation of key signaling pathways that lead to the hyperactivation of the renin-angiotensin-aldosterone system, endothelial dysfunction, inflammation, proliferation, and phenotypic change in smooth muscle cells, and the hyperactivation of the sympathetic nervous system. MicroRNAs are also involved in the regulation of insulin signaling and blood glucose levels in T2D, and participate in lipid metabolism, adipogenesis, and adipocyte differentiation in obesity, with specific microRNA signatures involved in the pathogenesis of each disease. Many studies report the benefits promoted by exercise training in cardiovascular diseases by reducing blood pressure, glucose levels, and improving insulin signaling and lipid metabolism. The molecular mechanisms involved, however, remain poorly understood, especially regarding the participation of microRNAs in these processes. This review aimed to highlight microRNAs already known to be associated with SAH, T2D, and obesity, as well as their possible regulation by exercise training.

Micro R-410 Binding Site Single Nucleotide Polymorphism rs13702 in Lipoprotein Lipase Gene is Effective to Increase Susceptibility to Type 2 Diabetes in Iranian Population

BACKGROUND

The relationship between dyslipidemia and type 2 diabetes mellitus (T2DM) has been frequently reported. Lipoprotein lipase (LPL) is considered to be an effective gene in regulating lipid profile. MicroRNAs (miRNAs) are small noncoding RNAs involved in posttranscriptional regulation of gene expression. In the present study, we have evaluated rs13702 (C/T) polymorphism located in miRNA-410 binding site of LPL gene in subset of Iranian T2DM patients and their normal counterparts.

MATERIALS AND METHODS

In this case-control study, 102 T2DM patients and 98 healthy controls were worked out for rs13702 single nucleotide polymorphism genotypes. High resolution meting (HRM) analysis was used for genotyping.

RESULTS

C allele of rs13702 C/T polymorphism located in miRNA-410 binding site in LPL gene was detected to be significantly associated with T2DM (C allele; odds ratios (OR) = 1.729 (95% confidential intervals (CI) = 1.184-2.523); P = 0.005) also its CC genotype (OR = 3.28 (95% CI 8.68-1.24); P = 0.010) showed the same association.

CONCLUSION

Correlation of rs13702 C allele with susceptibility to T2DM may be due to the higher level of LPL that leads to increased plasma fatty acids and its entry into peripheral tissues such as skeletal muscle, liver, and adipocytes causing development of insulin resistance and ultimately T2DM.

Association of CpG-SNP and 3'UTR-SNP of WFS1 with the Risk of Type 2 Diabetes Mellitus in an Iranian Population

Type 2 diabetes mellitus (T2DM) is one of the most common multifactorial disorders in Iran. Recent genome wide association studies (GWASs) and functional studies have suggested that WFS1 may predispose individuals to T2DM. However, to date, the possible association of such variants with T2DM in Iranians remained unknown. Here, we investigated the association of the two polymorphisms of WFS1 (rs1801214 a CpG-SNP, and rs1046320 a 3’UTR-SNP) with T2DM in an Iranian population. The study population comprised 432 unrelated Iranian individuals including 220 patients with T2DM, and 211 unrelated healthy control subjects. Genotyping was performed using PCR-RFLP, and confirmed with sequencing. In a logistic regression analysis, the rs1801214-T allele was associated with a significantly lower risk of T2DM assuming the log-additive model (OR: 0.68, 95% CI: 0.52-0.91, P= 0.007539). Moreover, the G allele of rs1046320 was associated with a lower risk of T2DM assuming the log-additive model (OR: 0.68, 95% CI: 0.50- 0.91, P= 0.008313). Haplotype analysis revealed that haplotypes that carry at least one protective allele are associated with a lower risk of T2DM. This is a first evidence for the association of WFS1 rs1801214, and rs1046320 with T2DM in an Iranian population.

Effect of curcumin on glucose and lipid metabolism, FFAs and TNF-α in serum of type 2 diabetes mellitus rat models

Objective

To investigate how curcumin affects the glucose and lipid metabolism in type 2 diabetes mellitus (DM) rat models, and to explore its effect on the free fatty acid (FFA) and tumor necrosis factor α (TNF-α) in serum.

Methods

Successfully established type 2 DM rats were divided into three groups, i.e. the normal control group, model group and curcumin group, and received the medication for consecutive 8 weeks. Thereafter, we detected the level of fasting blood glucose (FBG), and the blood glucose at 30 min, 60 min and 120 min; besides, we also carried out the insulin tolerance tests to measure the levels of fasting serum insulin (FINS) and blood glucose at 40 min and 90 min; additionally, we also detected the levels of TC, TG, HDL-C, LDL-C, FFA and TNF-α in serum. The results were expected to discover the mechanism of curcumin in decreasing the blood glucose level in DM rats.

Results

Compared with the model group, AUCs of FBG, blood glucose at 30 min, 60 min and 120 min, and glucose were decreased in varying degrees in the curcumin group, and the differences had statistical significance (p < .05). After subcutaneous injection of insulin, we found that the blood glucose at 40 min and 90 min in the curcumin group was decreased, while AUC of glucose level was also decreased (p < .05 or .01). Eight weeks after medication, compared with the rats in the normal group, the levels of HDL-C, LDL-C, TC and TG in rats of the model group and the curcumin group were obviously increased (p < .05). In comparison with the model group, the level of LDL-C in rats of the curcumin group was also decreased significantly (p < .05). In comparison with the normal control group in the same period, we found that the content of FFAs and TNF-α in serum of rats of the model group were elevated significantly, and the differences had statistical significance (p < .05 or .01); the levels in the curcumin group were significantly decreased in comparison with the model group in the same period, and the difference had statistical significance (p < .05 or .01).

Conclusion

Treatment with curcumin can significantly improve the metabolic disorder of glucose and lipid, enhance the sensitivity to the insulin, and ameliorate the resistance to insulin of the type II DM rats. Meanwhile, this treatment method can also significantly decrease the level of FFA and TNF-α in serum of type II DM rats. Thus, we inferred that the mechanism of curcumin to improve the insulin resistance might be correlated with the decreases of FFA and TNF-α in serum.

From the Viewpoint of Drug Metabolism Research

Since more than 70% of clinically used drugs are excreted from the body through metabolic processes, drug metabolism is a key determinant of pharmacokinetics, drug response and drug toxicity. Much progress has been made in understanding drug-drug interactions via the inhibition or induction of cytochrome P450s (P450, CYP), as well as the effects of genetic polymorphisms of P450s on pharmacokinetics, and this has facilitated the progress of optimized pharmacotherapy in the clinic. Now, similar information is needed for non-CYP enzymes, especially concerning Phase I enzymes, based on advanced basic and clinical studies. Recently, it was revealed that post-transcriptional regulation by microRNAs or RNA editing plays a significant role in regulating the expression of drug-metabolizing enzymes, thus conferring variability in the detoxification and metabolic activation of drugs or chemicals. Changes in the expression profile of microRNAs in tissues or body fluids can be a biomarker of drug response and toxicity; therefore, such studies could also be useful for drug repositioning. In addition, microRNAs are involved in pharmacogenetics, because single nucleotide polymorphisms in microRNA binding sites of mRNAs, or microRNAs themselves, may cause changes in gene expression. Some microRNA-related polymorphisms could be biomarkers of the clinical outcome of pharmacotherapy. In this review article, recent progress and future directions for drug metabolism studies are discussed.

Type 1 Diabetes Candidate Genes Linked to Pancreatic Islet Cell Inflammation and Beta-Cell Apoptosis

Type 1 diabetes (T1D) is a chronic immune-mediated disease resulting from the selective destruction of the insulin-producing pancreatic islet β-cells. Susceptibility to the disease is the result of complex interactions between environmental and genetic risk factors. Genome-wide association studies (GWAS) have identified more than 50 genetic regions that affect the risk of developing T1D. Most of these susceptibility loci, however, harbor several genes, and the causal variant(s) and gene(s) for most of the loci remain to be established. A significant part of the genes located in the T1D susceptibility loci are expressed in human islets and β cells and mounting evidence suggests that some of these genes modulate the β-cell response to the immune system and viral infection and regulate apoptotic β-cell death. Here, we discuss the current status of T1D susceptibility loci and candidate genes with focus on pancreatic islet cell inflammation and β-cell apoptosis.

Role of miRNAs in the pathogenesis and susceptibility of diabetes mellitus

MicroRNAs (miRNAs) are noncoding RNAs of ~22 nucleotides that regulate gene expression post-transcriptionally by binding to the 3' untranslated region of messenger RNA (mRNAs), resulting in inhibition of translation or mRNA degradation. miRNAs have a key role in fine-tuning cellular functions such as proliferation, differentiation and apoptosis, and they are involved in carcinogenesis, glucose homeostasis, inflammation and other biological processes. In this review, we focus on the role of miRNAs in the pathophysiology of the metabolic disease and diabetes mellitus, the hallmark of which is hyperglycemia caused by defective insulin secretion and/or action. A growing number of studies have revealed the association between miRNAs and the processes of insulin production and secretion in pancreatic β cells. In addition, aberrant expression of miRNAs in skeletal muscle, adipose tissue and liver has also been reported. Intriguingly, the tumor suppressor p53 has been implicated in the pathogenesis of diabetes in association with a number of miRNAs, suggesting that a p53/miRNA pathway might be a therapeutic target. Moreover, data from genome-wide association studies have revealed that several miRNA target sequences overlap type 2 diabetes susceptibility loci. Finally, the recent discovery of circulating miRNAs associated with diabetes onset/progression suggests the potential use of miRNAs as biomarkers.

Development of Insulin Resistance through Induction of miRNA-135 in C2C12 Cells

Objective

Micro-RNAs (miRNAs) are a class of posttranscriptional regulators that play crucial roles in various biological processes. Emerging evidence suggests a direct link between miRNAs and development of several diseases including type 2 diabetes (T2D). In this study, we aimed to investigate the effect of predicted miRNA and target genes on insulin resistance.

Materials and Methods

This experimental study was conducted on the C2C12 cell line. Using bioinformatics tools miRNA-135 and two respective target genes-insulin receptor (Insr) and vesicle associated membrane protein 2 (Vamp2)were selected as potential factors involved in insulin resistance process. Levels of glucose uptake miRNA expression and respective gene targets were determined after cell transfaction by miR-135.

Results

It was determined that Insr gene expression was significantly down-regulated in miR-135 transfected C2C12 cell line (P≤0.05). Interestingly; these transfected cells have shown a significant difference in glucose uptake incomparision the positive control cells, while it was similar to the insulin resistant cell line (P≤0.05). In contrast, no significant alteration of Vamp2 gene expression was observed.

Conclusion

Our data indicated no change on the Vamp2 expression level after miRNA transfection, while expression level of Insr was reduced and miR-135 expression was contrarily increased leading to poor stimulation of glucose uptake through insulin, and development of insulin resistance phenotype in C2C12 cell line.

MicroRNAs as regulators of beta-cell function and dysfunction

In the last decade, there has been an explosion in both the number of and knowledge about miRNAs associated with both type 1 and type 2 diabetes. Even though we are presently in the initial stages of understanding how this novel class of posttranscriptional regulators are involved in diabetes, recent studies have demonstrated that miRNAs are important regulators of the islet transcriptome, controlling apoptosis, differentiation and proliferation, as well as regulating unique islet and beta-cell functions and pathways such as insulin expression, processing and secretion. Furthermore, a large number of miRNAs have been linked to diabetogenic processes induced by elevated levels of glucose, free fatty acids and inflammatory cytokines. Thus, miRNAs are novel therapeutic targets with the potential of protecting the beta-cell, and there is proof of principle that miRNA antagonists, so-called antagomirs, are effective in vivo for other disorders. miRNAs are exported out of cells in exosomes, raising the intriguing possibility of cell-to-cell communication between distant tissues via miRNAs and that miRNAs can be used as biomarkers of beta-cell function, mass and survival. The purpose of this review is to provide a status on how miRNAs control beta-cell function and viability in health and disease.

Apolipoprotein E Epsilon 4 Enhances the Association between the rs2910164 Polymorphism of miR-146a and Risk of Atherosclerotic Cerebral Infarction

AIM

To analyse the relationship between two potentially functional single-nucleotide polymorphisms (SNPs) of the miR-146a gene (rs2910164 and rs57095329) and the risk of atherosclerotic cerebral infarction (ACI).

METHODS

A total of 297 patients with ACI and 300 matched healthy individuals were enrolled in the study. The miR-146a polymorphism was detected using the polymerase chain reaction-restriction fragment length polymorphism method.

RESULTS

A significant difference in the C allele frequency at rs2910164 (p=0.028) was noted between patients with ACI and control subjects. In contrast, the genotype and allele frequencies of rs57095329 were not statistically associated with ACI. In addition, the decreased expression of miR-146a was significantly more frequent in ACI patients who were ApoEε4 (＋) carriers (p=0.0233), and rs2910164 G＞C was intimately associated with the ApoEε4-containing genotype in patients compared with the ApoEε4 (－) carriers (p=0.0323).

CONCLUSIONS

Our findings indicated that the C allele of rs2910164 miR-146a is an important risk factor for ACI, and ApoEε4 may function through attenuating miR-146a expression to enhance ACI susceptibility. This study provides new information about the possible relationship between miR-146a and ApoEε4 in the development of ACI, with potentially important therapeutic implications.

Genes affecting β-cell function in type 1 diabetes

Type 1 diabetes (T1D) is a multifactorial disease resulting from an immune-mediated destruction of the insulin-producing pancreatic β cells. Several environmental and genetic risk factors predispose to the disease. Genome-wide association studies (GWAS) have identified around 50 genetic regions that affect the risk of developing T1D, but the disease-causing variants and genes are still largely unknown. In this review, we discuss the current status of T1D susceptibility loci and candidate genes with focus on the β cell. At least 40 % of the genes in the T1D susceptibility loci are expressed in human islets and β cells, where they according to recent studies modulate the β-cell response to the immune system. As most of the risk variants map to noncoding regions of the genome, i.e., promoters, enhancers, intergenic regions, and noncoding genes, their possible involvement in T1D pathogenesis as gene regulators will also be addressed.

Inhibition of microRNA-9-3p reduces lipid accumulation in HepG2 cells by targeting the expression of sirtuin type 1

Type 2 diabetes mellitus (T2DM) is a complex metabolic disorder caused by the interaction of environmental factors and multiple genes. The genetic background of T2DM is complex and remains to be fully elucidated. MicroRNAs (miRNAs) are negative regulators of gene expression and several miRNAs are associated with the development of T2DM. However, the expression and biological function of miRNA‑9‑3p in lipid metabolism of patients with T2DM remain to be fully elucidated. The predominant aim of the present study was to examine the effect of miRNA‑9‑3p on lipid accumulation in HepG2 cells. To investigate this, an MTT assay was used to determine cell proliferation, and the effects of miRNA‑9‑3p on triglycerides (TG) and total cholesterol (TC) in the HepG2 cells were also examined. Reverse transcription‑quantitative polymerase chain reaction and western blot analyses were used to measure the expression levels of SIRT1 at the gene and protein levels, respectively. The date revealed that downregulation of miRNA‑9‑3p inhibited the proliferation of HepG2 cells, and significantly reduced the accumulation of lipids, and decreased TG and TC content. In addition, the present study demonstrated that inhibition of miRNA‑9‑3p increased the protein expression of sirtuin type 1 (SIRT1), but had no effects on the gene expression of SIRT1. Therefore, these findings demonstrated that the inhibition of miRNA‑9‑3p reduced the proliferation of HepG2 cells and lipid accumulation by upregulating the expression of SIRT1, indicating its potential as a therapeutic target.