Clinical significance of long noncoding RNA VIM-AS1 and CTBP1-AS2 expression in type 2 diabetes.

BACKGROUND/AIMS: The risk of type 2 diabetes (T2D) is determined by a combination of genetic and environmental factors. Multiple studies have proposed that long noncoding RNAs (lncRNAs) are crucial molecules in regulating several biological processes and complex diseases. The study was aimed at investigating the association between the expression levels of lncRNA VIM-AS1, lncRNA CTBP1-AS2, and T2D susceptibility. METHODS: lncRNA VIM-AS1 and lncRNA CTBP1-AS2 in the peripheral blood mononuclear cell (PBMC) of 100 healthy individuals and 100 T2D patients were collected for Quantitative Real-Time RT-PCR analysis. A logistic regression was performed to understand whether the likelihood of T2D can be predicted based on the expression levels of lncRNA VIM-AS1 and lncRNA CTBP1-AS2. Receiver operating characteristic (ROC) analysis was also performed to determine the statistical analysis of VIM-AS1 and CTBP1-AS2 levels in 200 samples. RESULTS: Our results display that decreased levels of VIM-AS1 and CTBP1-AS2 in PBMC were associated with diabetes in Iranian population. The logistic regression revealed that Systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDL-C), Fasting blood glucose (FBG) and CTBP1-AS2 are substantial predictors of T2D. The ROC analysis of CTBP1-AS2 revealed the area under the ROC curve (AUC) of 0.68 with a sensitivity of 58.7% and specificity of 75.3% in distinguishing nondiabetic from diabetic subjects. The ROC analysis of VIM-AS1 determined AUC of 0.63 with a sensitivity of 56.1% and specificity of 68.37% in distinguishing the two diagnostic groups. CONCLUSION: lncRNA VIM-AS1 and lncRNA CTBP1-AS2 expression levels are associated with T2D susceptibility.

Deregulation of long noncoding RNA SNHG17 and TTC28-AS1 is associated with type 2 diabetes mellitus.

Long noncoding RNAs (lncRNAs) have emerged as key players in several biological processes and complex diseases including type 2 diabetes mellitus (T2DM). The purpose of this study was to investigate the expression levels of SNHG17 and TTC28-AS1 in T2DM patients. Quantitative real-time RT-PCR analysis was performed using peripheral blood mononuclear cells (PBMCs) samples from patients diagnosed with T2DM and healthy controls. Binary logistic regression analysis was carried out to determine the odds of development of T2DM based on expression levels of lncRNAs and clinical characteristic of the subjects. Spearman's correlation analysis was used to clarify the correlation between SNHG17 and TTC28-AS1 expressions to metabolic features. We found that SNHG17 and TTC28-AS1were down-regulated in the T2DM group compared to the healthy control group. The logistic regression revealed that body mass index (BMI), systolic blood pressure (SBP), fasting blood glucose (FBG) and TTC28-AS1 expression substantially affect T2DM susceptibility. Furthermore, expression of SNHG17 was negatively correlated with high-density lipoprotein cholesterol (HDL-C) and expression of TTC28-AS1 was positively correlated with low-density lipoprotein cholesterol (LDL-C). Decreased expressions of lncRNAs TTC28-AS1 and SNHG17 in T2DM are possibly associated with the development of T2DM.

The Impact of Low-Volume High-Intensity Interval Training (LV-HIIT) on Fatty Liver Index (FLI) and Estimated Glomerular Filtration Rate (eGFR) in Patients with Type 2 Diabetes Mellitus (T2DM).

BACKGROUND: Prevention and reduction of liver fat accumulation and maintenance of Glomerular Filtration Rate (GFR) have been proposed as important therapeutic goals in patients with Type 2 Diabetes Mellitus (T2DM). AIM: This study aimed to determine the effect of Low-Volume High-Intensity Interval Training (LV-HIIT) on fatty liver index (FLI) and GFR estimation in patients with T2DM. METHODS: This randomized controlled trial included 80 patients with T2DM and a sedentary lifestyle, randomly divided into HIIT (n=40) and a control group (n=40). Patients with a history of T2DM for at least one year and HbA1C levels between 6.4% and 10% were selected. The intervention group underwent a 4-week LV-HIIT course, comprising 3 sessions per week, while the control group did not receive any intervention. FLI, eGFR, anthropometric measurements, and laboratory variables were assessed in all participants before and after the intervention. RESULTS: FLI (62.0 at baseline, 53.0 at follow-up) significantly decreased in the LV-HIIT group after the intervention, while eGFR (71.0 at baseline, 73.6 at follow-up) significantly increased (P<0.001). However, the control group showed a significant reduction only in Fasting Blood Sugar (FBS) (P<0.05). After the intervention, the LV-HIIT group had significantly lower FBS (129.0 at baseline, 121.0 at follow-up), Alanine Aminotransferase (ALT) (24.0 at baseline, 18.0 at follow-up), and Gamma-Glutamyl Transferase (GGT) (22.0 at baseline, 19.0 at follow-up), as well as higher eGFR, compared to the control group (P<0.05). CONCLUSIONS: LV-HIIT exercise appears to be a promising and effective training method for improving FLI and eGFR in patients diagnosed with T2DM.

The association study between changes in HbA1C with rs2250486 and rs67238751 genetic variants for SLC47A1 in newly diagnosed Iranian patients with type 2 diabetes mellitus: 6 months follow-up study.

OBJECTIVES: One of the most well-known oral medications for the treatment of T2DM is metformin. Variants have been found in studies to be useful in detecting new genes connected to T2DM aetiology and affecting metformin's mechanism of action. In this research, we aimed to study two variations of the SLC47A1 gene; rs2250486 and rs67238751, in T2DM patients who had been taking metformin for the first 6 months after the diagnosis in the Iranian population for the first time. DESIGN AND METHODS: A total of 200 individuals were recruited for the study. According to their glycosylated haemoglobin (HbA1c) levels, the patients were divided into two groups: responders (HbA1c levels were reduced by at least 1% after 6 months of metformin treatment.) and non-responders. DNA was extracted from whole blood and genotyped by Tetra ARMS PCR. High-performance liquid chromatography (HPLC) was used to measure HbA1c levels at the start of the treatment and again 6 months later. RESULTS: rs2250486 variant in the dominant model reduces the HbA1C levels after 6 months of metformin treatment. In fact, when compared to the T/C + C/C genotypes, the T/T genotype improves HbA1C levels (p-value = .014). Furthermore, in the allelic model, the T allele improves HbA1C levels in comparison to the C allele (p-value = .008). After 6 months of metformin treatment, serum levels of HbA1C in responders were reduced significantly in both groups (T/T and T/C + C/C), (p-value = <.0001). However, the rs67238751 variant did not reveal a meaningful relationship with lower HbA1C levels in any of the models. CONCLUSIONS: This study found that the rs2250486 variant could be associated with reducing HbA1C levels while the rs67238751 variant, had no relationship.

Effect of metformin on the eradication of H.Pylori infection in 25 -75 years old patients referring Loghman Hakim Hospital.

Background: Various ways of treating H.pylori infection are reported, such as triple-therapy and quadruple therapy for two weeks. Some side effects have been seen during these treatments, besides Helicobacter pylori becoming resistant to these antibiotics easily. According to some studies, there is a relationship between metformin and reduction in Helicobacter pylori infection. Thus, in this study, we determine the effects of metformin on Helicobacter pylori infection. Methods: We performed this assessment in a randomized, case-controlled way in the diagnosis of Helicobacter pylori infected outpatients and inpatients. In both groups (case group and control group), patients took two tablets for a two-week period. In the case group, the patients were given two metformin tablets (each containing 500mg of metformin (extended release) and in the control group, they were given two placebo tablets (each containing 500mg of white flour). We took h.pylori Ag stool test and rapid urease test to confirm the presence of Helicobacter pylori infection. Results: In this study, at first all the patients had positive h.pylori Ag stool test or positive rapid urease test. At the end of this study, the results of h.pylori Ag stool*- test presented that Helicobacter pylori infection was negative in 82.7% of the case group patients and 76% of control group patients which illustrates suppression of Helicobacter pylori infection. However, comparing to the control group (P=0.36), this difference was not statistically remarkable. Conclusion: According to these findings, it is stated that having metformin along with prescribed antibiotics can help decrease Helicobacter pylori infection.

The influence of SLC22A3 rs543159 and rs1317652 genetic variants on metformin therapeutic efficacy in newly diagnosed patients with type 2 diabetes mellitus: 25 weeks follow-up study.

BACKGROUND AND AIMS: Among anti-diabetic medications, metformin has been proven to be the preferred initial pharmacologic agent for type 2 diabetes mellitus (T2DM) treatment. Despite its safety and efficacy, the response to metformin varies between individuals. Genetic variations, especially within genes involved in pharmacokinetics and pharmacodynamics of metformin (e.g SLC22A3), have been suggested to be responsible for the observed inter-individual differences. By considering the undeniable role of organic cation transporter 3 in hepatic uptake of metformin, this study was aimed to investigate the association of rs543159 and rs1317652 variants in SLC22A3 gene with response to metformin monotherapy in newly diagnosed patients with T2DM. METHODS: The study included 200 T2DM patients who received metformin monotherapy for 25 weeks. The patients were classified into 2 groups according to their HbA1c values: the responders (reduction in HbA1c levels by at least 1% after 25 weeks treatment with metformin) and non-responders (less than 1% reduction in HbA1c levels after 25 weeks treatment with metformin). We used tetra ARMS-PCR method to determine genotypes of the target variants. RESULTS: For the rs543159, CA and AA genotypes were more frequent in responders as compared to non-responders (OR = 2.48; 95% CI = 1.28-4.78, P-value = 0.0057) under the dominant model. In case of rs1317652 CC and CT genotypes were more frequent in metformin responders as compared to non-responder group (OR = 2.49; 95% CI = 1.32-4.70, P-value = 0.0043) under the dominant model. Parameters such as fasting blood sugar (FBS), HbA1c, and total cholesterol (TC) levels were significantly lower in the responder group after 25 weeks of metformin monotherapy. Moreover, according to the result of multiple linear regression rs543159 and base line HbA1c values are significantly associated with response to metformin monotherapy. CONCLUSION: Our results suggested that rs543159 and rs1317652 in SLC22A3 gene might be associated with variability in response to metformin therapy in T2DM patients.

Breast Device Surgery in Australia: Early Results from the Australian Breast Device Registry.

BACKGROUND: The Australian Breast Device Registry (ABDR) is a clinical quality registry designed to monitor the performance of breast devices; and the quality and safety of breast device surgery. OBJECTIVE: To report on breast device surgery characteristics across Australia. METHODS: Participants were registered patients in the ABDR from 2012 to 2018. Results are described using percentages, mean and median. Revision rates were calculated using survival analysis methods. RESULTS: A total of 37,603 patients were registered and had undergone reconstruction (post-cancer 15.1%, risk-reducing mastectomy 3.4% and developmental deformity 2.4%) or cosmetic augmentation (74.7%) procedures. The majority of breast implant devices were silicone filled with textured surface (reconstruction 74.0% and augmentation 64.0%). Sub-pectoral plane was the most common for both reconstruction (60.1%) and augmentation (76.6%) procedures. For reconstruction surgery, the most common surgical incision was previous mastectomy scar (44.0%) and inframammary (31.8%), and for augmentation, it was inframammary (83.4%). Intraoperative/postoperative antibiotic usage for reconstruction was 85.8% and augmentation was 89.4%. Revision incidence due to complication at 12 months post-cancer reconstruction was 5.1%, risk-reducing reconstruction 5.7% and developmental deformity implants 4.5%. Revision incidence due to complication at 12 months after augmentation procedure was 1.1%. Patient-reported outcome measures (PROMs) indicate high levels of satisfaction at 1 year for augmentation and reconstruction procedures. CONCLUSION: We report on early data from the ABDR and reflect on the uptake of the registry by surgeons and patients. The registry also benefits from international collaborative approaches to addressing challenges and is committed to facilitate international post-market surveillance.