METHODS: The study involved 235 Malaysian subjects who were randomly selected (66 normal weight subjects, 97 overweight, 59 obese subjects, and 13 subjects who were underweight). Serum sDPP4 and active GLP-1 levels were examined by enzyme-linked immunosorbent assay (ELISA). Also, body mass index kg/m(2) (BMI), lipid profiles, insulin and glucose levels were evaluated. Insulin resistance (IR) was estimated via the homeostasis model assessment for insulin resistance (HOMA-IR).

RESULTS: Serum sDPP4 levels were significantly higher in obese subjects compared to normal weight subjects (p=0.034), whereas serum levels of active GLP-1 were lower (p=0.021). In obese subjects, sDPP4 levels correlated negatively with active GLP-1 levels (r(2)=-0.326, p=0.015). Furthermore, linear regression showed that sDPP4 levels were positively associated with insulin resistance (B=82.28, p=0.023) in obese subjects.

METHODS: The fruit powder was macerated using methanol and then partitioned by hexane, ethyl acetate, n-butanol, and water. The fractions were chromatographed on the column chromatography and incorporated with TLC and recrystallization to give pure compounds. The structures of isolated compounds were determined by UV-Visible, FT-IR, MS, proton (1H-NMR), carbon (13C-NMR), and 2D-NMR techniques encompassing HMQC and HMBC spectra. The compounds were evaluated for their ACE inhibitory activity, and the strongest compound was determined by the kinetics enzyme inhibition.

RESULTS: Based on the spectral data, the isolated compounds were determined as 6,4-dihydroxy-4-methoxybenzophenone-2-O-β-D-glucopyranoside (1), 4,4'-dihydroxy-6-methoxybenzophenone-2-O-β-D-glucopyranoside (2) and mangiferin (3). IC50 values of the isolated compounds 1, 2 and 3 were 0.055, 0.07, and 0.025 mM, respectively.

METHODS: The decision aid prototype was developed following a literature review and six focus groups. Alpha testing assessed its comprehensibility, acceptability, usability and desirability through user-centered cognitive interviews. Beta-testing evaluated preliminary evidence on its efficacy using the SDM Scale and PDMS. Feasibility was assessed by timing the consultation.

METHODS: A total of 220 T2DM patients from the University of Malaya Medical Centre, Malaysia, who had at least one CV complication and who had been taking at least one antidiabetic drug for at least 3 months, were included. The associations of antidiabetics, cardiovascular diseases, laboratory parameters, concurrent medications, comorbidities, demographics, and clinical characteristics with glycemic control were investigated.

RESULTS: Sulfonylureas in combination (P=0.002) and sulfonylurea monotherapy (P<0.001) were found to be associated with good glycemic control, whereas insulin in combination (P=0.051), and combination biguanides and insulin therapy (P=0.012) were found to be associated with poor glycemic control. Stroke (P=0.044) was the only type of CVD that seemed to be significantly associated with good glycemic control. Other factors such as benign prostatic hyperplasia (P=0.026), elderly patients (P=0.018), low-density lipoprotein cholesterol levels (P=0.021), and fasting plasma glucose (P<0.001) were found to be significantly correlated with good glycemic control.

METHOD: Ten DPP4 SNPs were genotyped by TaqMan genotyping assays in 314 subjects with T2DM and 235 controls. Of these, 71 metabolic syndrome (MetS) subjects were excluded from subsequent analysis. The odds ratios (ORs) and their 95% confidence interval (CIs) were calculated using multiple logistic regression for the association between the SNPs of DPP4 and T2DM. In addition, the serum levels of sDPP-IV were investigated to evaluate the association of the SNPs of DPP4 with the sDPP-IV levels.

RESULTS: Dominant, recessive, and additive genetic models were employed to test the association of DPP4 polymorphisms with T2DM, after adjusting for age, race, gender and BMI. The rs12617656 was associated with T2DM in Malaysian subjects in the recessive genetic model (OR = 1.98, p = 0.006), dominant model (OR = 1.95, p = 0.008), and additive model (OR = 1.63, p = 0.001). This association was more pronounced among Malaysian Indians, recessive (OR = 3.21, p = 0.019), dominant OR = 3.72, p = 0.003) and additive model (OR = 2.29, p = 0.0009). The additive genetic model showed that DPP4 rs4664443 and rs7633162 polymorphisms were associated with T2DM (OR = 1.53, p = 0.039), and (OR = 1.42, p = 0.020), respectively. In addition, the rs4664443 G>A polymorphism was associated with increased sDPP-IV levels (p = 0.042) in T2DM subjects.

PATIENTS AND METHODS: A prospective observational cohort study was conducted on 86 patients with T2DM who had been receiving metformin monotherapy for <1 year. Patients showing ≥0.5% reduction in HbA1c levels from baseline within 3 months and remained low for at least another 3 months were defined as responders while those patients with <0.5% reduction in HbA1c levels and/or those whom started a new class of glucose-lowering drug(s) because of unsatisfactory reduction were defined as non-responders. In addition, good glycemic control was observed when HbA1c ≤7.0%, and the above values were regarded as poor. Genotyping of rs72552763 SNP was performed using TaqMan® Drug Metabolism Enzyme Genotyping Assay and its association with metformin response and glycemic control were assessed by measuring the change in HbA1c and fasting blood glucose levels using Chi-square, logistic regression and Mann-Whitney U-test. Statistical significance was set at p <0.05.

RESULTS: The minor allele frequency of the rs72552763 SNP of SLC22A1 was 9.3%. Metformin response was significantly higher in deletion_GAT (del_G) genotypes as compared to the wild-type GAT_GAT (G_G) genotypes. Furthermore, a significantly lower median treatment HbA1 level was found in del_G genotypes as compared to G_G genotypes. However, the association of rs72552763 with metformin response was not replicated at the allele level. In contrast, the minor del_allele was significantly associated with good glycemic control compared to the G_allele, though not replicated at del_G genotypes level.

PURPOSE: To investigate the association of psychological factors, patients' knowledge, and management among ED patients.

PATIENTS AND METHODS: A total of 93 patients with an age range from 31 to 81 years who have undergone treatment for ED were included in this study.

RESULTS: It was found that the feeling of blame (P=0.001), guilt (P=0.001), anger or bitterness (P=0.001), depression (P=0.001), feeling like a failure (P=0.001), and the feeling of letting down a partner during intercourse (P=0.001) were significantly associated with ED. Age was also found to be significantly associated with patients' psychological scale (P=0.004). In addition, the majority of patients in this study practice the right method of administration of ED therapy. However, no significant correlation was found between patients' knowledge of ED therapy and demographic characteristics.

AIM: The aim of this paper was to review the role of CMKLR-1 receptor and the potential therapeutic target in the management of chemerin induced type 2 diabetes mellitus and cancer.

PATHOPHYSIOLOGY: Increased chemerin secretion activates an inflammatory response. The inflammatory response will increase the oxidative stress in adipose tissue and consequently results in an insulin-resistant state. The occurrence of inflammation, oxidative stress and insulin resistance leads to the progression of cancers.

PATIENTS & METHODS: DPP4, WFS1 and KCNJ11 gene polymorphisms were genotyped in a cohort study of 662 T2DM patients treated with DPP-4 inhibitors sitagliptin, vildagliptin or linagliptin. Genotyping was performed by Applied Biosystems TaqMan SNP genotyping assay.

RESULTS: Patients with triglyceride levels less than 1.7 mmol/l (odds ratio [OR]: 2.2.; 95% CI: 1.031-4.723), diastolic blood pressure (DBP) less than 90 mmHg (OR: 1.7; 95% CI: 1.009-2.892) and KCNJ11 rs2285676 (genotype CC) (OR: 2.0; 95% CI: 1.025-3.767) were more likely to response to DPP-4 inhibitor treatment compared with other patients, as measured by HbA1c levels.

METHODS: The study encompassed a comprehensive three-stage approach to the development and validation of the PROM. Initially, during the preliminary design stage, the necessity for a new PROM was recognized, an expert panel was formed, and semi-structured qualitative interviews were carried out with GSM patients. In the second stage, the study used the five-step pre-validation methodology established by Prior et al. to generate and refine the PROM items. The third and final stage encompassed the determination of scale and item content validity indexes to ensure validity. Additionally, the reliability of each construct was evaluated using Cronbach's α.

RESULTS: The resulting PROM was named GSM-SVTAQ (GSM-symptoms and vaginal treatments acceptability questionnaire). It demonstrated excellent validity in assessing symptoms burden, health-related and sexual quality of life, and vaginal treatment acceptability, with high content validity indices and strong internal consistency. The scale content validity indices and Cronbach's α coefficients for the three domains were (0.926, 0.939), (0.875, 0.947), and (0.824, 0.855), respectively.