The rs340874 PROX1 type 2 diabetes mellitus risk variant is associated with visceral fat accumulation and alterations in postprandial glucose and lipid metabolism

Large-scale meta-analyses of genome-wide association studies have recently confirmed that the rs340874 single-nucleotide polymorphism in PROX1 gene is associated with fasting glycemia and type 2 diabetes mellitus; however, the mechanism of this link was not well established. The aim of our study was to evaluate the functional/phenotypic differences related to rs340874 PROX1 variants. The study group comprised 945 subjects of Polish origin (including 634 with BMI > 25) without previously known dysglycemia. We analyzed behavioral patterns (diet, physical activity), body fat distribution and glucose/fat metabolism after standardized meals and during the oral glucose tolerance test. We found that the carriers of the rs340874 PROX1 CC genotype had higher nonesterified fatty acids levels after high-fat meal (p = 0.035) and lower glucose oxidation (p = 0.014) after high-carbohydrate meal in comparison with subjects with other PROX1 genotypes. Moreover, in subjects with CC variant, we found higher accumulation of visceral fat (p < 0.02), but surprisingly lower daily food consumption (p < 0.001). We hypothesize that lipid metabolism alterations in subjects with the PROX1 CC genotype may be a primary cause of higher glucose levels after glucose load, since the fatty acids can inhibit insulin-stimulated glucose uptake by decreasing carbohydrate oxidation. Our observations suggest that the PROX1 variants have pleiotropic effect on disease pathways and it seem to be a very interesting goal of research on prevention of obesity and type 2 diabetes mellitus. The study may help to understand the mechanisms of visceral obesity and type 2 diabetes mellitus risk development.     

Association of VDR-gene variants with factors related to the metabolic syndrome,type 2 diabetes and vitamin D deficiency

The prevalence of metabolic syndrome (MetS) is rising alarmingly in the Saudi Arabian population. This study was conducted to assess the association between vitamin D receptor (VDR) polymorphisms and genetic susceptibility to components of the metabolic syndrome, type 2 diabetes mellitus (T2DM), and vitamin D deficiency in the Saudi Arabian population. Five-hundred-seventy Saudi individuals (285 MetS and 285 controls) were enrolled in this cross-sectional study. TaqI, BsmI, ApaI and FokI single nucleotide polymorphisms (SNPs) of the VDR gene were genotyped. The CT genotype and allele T of BsmI were associated with lower HDL-C levels [OR 0.60 (0.37, 0.96), p = 0.03] and obesity [OR 1.4 (1.0, 1.90), p = 0.04], respectively. The CT genotype and the dominant model CT + TT of BsmI were associated with increased risk of diabetes [OR 1.7 (1.2, 2.4), p = 0.007], and [OR 1.5 (1.1, 2.2), p = 0.01], respectively. On the contrary, the CT and CT + CC genotypes of FokI exhibited an association with a reduced risk of diabetes [OR 0.70 (0.49, 0.99), p = 0.05] and [OR 0.67 (0.48, 0.94), p = 0.02], respectively. The allele C of FokI was associated with lower risk of developing T2DM [OR 0.73 (0.56, 0.95), p = 0.02]. The prevalence of vitamin D deficiency was lower in subjects with the AC genotype of ApaI [OR, 0.34 (0.14, 0.80), p = 0.01]. Components of the MetS such as obesity, low HDL and T2DM were associated with the VDR gene. FokI and BsmI have protective and facilitative effects on the risk for T2DM, while the ApaI genotype was associated with reduced vitamin D deficiency.     

Association between resistin + 299A/A genotype and nonalcoholic fatty liver disease in Chinese patients with type 2 diabetes mellitus

Objective

To investigate the relationship between the resistin intronic + 299G/A polymorphism and nonalcoholic fatty liver disease (NAFLD) in patients with type 2 diabetes mellitus (T2DM).

Methods

We selected 738 T2DM patients, including 395 with NAFLD and 343 without fatty liver disease, as well as 279 healthy control individuals, and analyzed their resistin + 299G/A polymorphism genotype by polymerase chain reaction–restriction fragment length polymorphism.

Results

Plasma resistin levels in T2DM patients with NAFLD were at the highest (P < 0.05). The frequency of AA genotype at the + 299 site of the resistin gene in patients with concurrent T2DM combined with NAFLD was significantly different from that in the control (P < 0.05). The AA genotype was found to be associated with a 1.80-fold increased risk for T2DM combined with NAFLD, 2.05-fold increased risk for obesity and 2.37-fold increased risk for obesity of abdominal type compared to the GG (P < 0.05, respectively). The multivariate non-conditional logistic regression model analysis further shows that the AA genotype is a risk factor for the development of NAFLD in T2DM patients (OR, 2.32; 95% CI, 1.05–4.68; P < 0.05).

Conclusion

The resistin + 299AA genotype may be associated with increases in the risk of the NAFLD development in T2DM patients.     

Metabolic profiles of sunflower genotypes with contrasting response to Sclerotinia sclerotiorum infection

We report a comprehensive primary metabolite profiling of sunflower (Helianthus annuus) genotypes displaying contrasting behavior to Sclerotinia sclerotiorum infection. Applying a GC-MS-based metabolite profiling approach, we were able to identify differential patterns involving a total of 63 metabolites including major and minor sugars and sugar alcohols, organic acids, amino acids, fatty acids and few soluble secondary metabolites in the sunflower capitulum, the main target organ of pathogen attack. Metabolic changes and disease incidence of the two contrasting genotypes were determined throughout the main infection period (R5.2-R6). Both point-by-point and non-parametric statistical analyses showed metabolic differences between genotypes as well as interaction effects between genotype and time after inoculation. Network correlation analyses suggested that these metabolic changes were synchronized in a time-dependent manner in response to the pathogen. Concerted differential metabolic changes were detected to a higher extent in the susceptible, rather than the resistant genotype, thereby allowing differentiation of modules composed by intermediates of the same pathway which are highly interconnected in the susceptible line but not in the resistant one. Evaluation of these data also demonstrated a genotype specific regulation of distinct metabolic pathways, suggesting the importance of detection of metabolic patterns rather than specific metabolite changes when looking for metabolic markers differentially responding to pathogen infection. In summary, the GC-MS strategy developed in this study was suitable for detection of differences in carbon primary metabolism in sunflower capitulum, a tissue which is the main entry point for this and other pathogens which cause great detrimental impact on crop yield.     

The HHEX rs1111875A/G gene polymorphism is associated with susceptibility to type 2 diabetes in the iranian population

The illuminating picture of genetic mechanisms underlying the development of type 2 diabetes (T2DM) includes differently accumulated genetic polymorphisms that increase the risk along with environmental factors. A number of single nucleotide polymorphisms (SNPs) are indicated to be linked with T2DM, but also conflicting results have been found. To examine the contribution of these polymorphisms in conferring susceptibility to T2DM, the association of HHEX rs1111875A/G and CDKN2A/B rs10811661C/T common gene polymorphisms with the risk of T2DM in an Iranian population was evaluated. In this study participated 140 patients and 140 controls. Genomic DNA was extracted from samples and genotyping of the polymorphisms was performed by the Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) technique. A significant association was found with the G allele (OR = 1.729, CI = 1.184–2.523, P = 0.004) and GG genotype (OR = 2.921, 95% CI = 1.789–4.771, P< 0.001) of the rs1111875A/G SNP for susceptibility to T2DM in the recessive model. Furthermore, compared with the GG genotype, individuals with the GA genotype had a lower risk to develop T2DM (OR = 0.237, 95% CI = 0.137–0.408, P< 0.001) in the additive model. In addition, an association between the polymorphism and BMI in regard to the risk of T2DM was identified. The genotype and allele frequencies of the rs10811661C/T polymorphism did not show a statistically significant association with T2DM in any genetic model. Our results show that the rs1111875A/G polymorphism is an important susceptibility polymorphism for the development of T2DM in the Iranian population. Also, these findings support that this polymorphism is a key genetic risk factor for the development of T2DM in multiple ethnic populations.

     

Multi-Tissue Computational Modeling Analyzes Pathophysiology of Type 2 Diabetes in MKR Mice

Computational models using metabolic reconstructions for in silico simulation of metabolic disorders such as type 2 diabetes mellitus (T2DM) can provide a better understanding of disease pathophysiology and avoid high experimentation costs. There is a limited amount of computational work, using metabolic reconstructions, performed in this field for the better understanding of T2DM. In this study, a new algorithm for generating tissue-specific metabolic models is presented, along with the resulting multi-confidence level (MCL) multi-tissue model. The effect of T2DM on liver, muscle, and fat in MKR mice was first studied by microarray analysis and subsequently the changes in gene expression of frank T2DM MKR mice versus healthy mice were applied to the multi-tissue model to test the effect. Using the first multi-tissue genome-scale model of all metabolic pathways in T2DM, we found out that branched-chain amino acids'' degradation and fatty acids oxidation pathway is downregulated in T2DM MKR mice. Microarray data showed low expression of genes in MKR mice versus healthy mice in the degradation of branched-chain amino acids and fatty-acid oxidation pathways. In addition, the flux balance analysis using the MCL multi-tissue model showed that the degradation pathways of branched-chain amino acid and fatty acid oxidation were significantly downregulated in MKR mice versus healthy mice. Validation of the model was performed using data derived from the literature regarding T2DM. Microarray data was used in conjunction with the model to predict fluxes of various other metabolic pathways in the T2DM mouse model and alterations in a number of pathways were detected. The Type 2 Diabetes MCL multi-tissue model may explain the high level of branched-chain amino acids and free fatty acids in plasma of Type 2 Diabetic subjects from a metabolic fluxes perspective.     

Disrupted circadian rhythms of body temperature,heart rate and fasting blood glucose in prediabetes and type 2 diabetes mellitus

We report a progressive disruption of 24-h rhythms in fasting blood glucose (FBG), body temperature (BT) and heart rate (HR) associated with metabolic dysfunction and the development of prediabetes (PD) and type 2 diabetes mellitus (T2DM) in overweight middle-aged (40–69 years old) humans. Increasing BT and HR mean values and declining 24-h BT and HR amplitudes accompany adverse changes in metabolic state. Increased nocturnal BT and a phase delay of the 24-h BT rhythm, deviant 24-h HR profile and a phase advance of the 24-h HR and FBG rhythms are early signs of the PD metabolic state. In T2DM, the 24-h FBG rhythm is no longer detectable, and the 24-h amplitudes of BT and HR are greatly diminished. In addition, lepton and creatinine values were lowered in T2DM. Moreover, positive correlations between FBG and body mass index, BMI, and negative correlations between the 24-h amplitude of FBG and BMI indicate that overweight is an additional factor causing disruption of the circadian rhythms. Further studies on circadian disruption as a consequence of metabolic dysfunction are necessary. The quantitative analysis of changing circadian BT and HR rhythms may provide prognostic markers of T2DM and therapeutic targets for its prevention and correction.     

Variant rs2237892 of KCNQ1 Is Potentially Associated with Hypertension and Macrovascular Complications in Type 2 Diabetes Mellitus in A Chinese Han Population

KCNQ1 has been identified as a susceptibility gene of type 2 diabetes mellitus(T2DM) in Asian populations through genome-wide association studies. However, studies on the association between gene polymorphism of KCNQ1 and T2 DM complications remain unclear. To further analyze the association between different alleles at the single nucleotide polymorphism(SNP) rs2237892 within KCNQ1 and TD2 M and its complications, we conducted a case-control study in a Chinese Han population. The C allele of rs2237892 variant contributed to susceptibility to T2DM(odds ratio [OR], 1.45; 95% confidence interval [CI], 1.20–1.75). Genotypes CT(OR, 1.97; 95% CI,1.24–3.15) and CC(OR, 2.49; 95% CI, 1.57–3.95) were associated with an increased risk of T2 DM. Multivariate regression analysis was performed with adjustment of age, gender, and body mass index. We found that systolic blood pressure(P = 0.015), prevalence of hypertension(P = 0.037), and risk of macrovascular disease(OR, 2.10; CI, 1.00–4.45) were significantly higher in subjects with the CC genotype than in the combined population with genotype either CT or     

肠道菌群及其代谢产物与T2DM发病机制及干预措施*

2型糖尿病(type 2 diabetes mellitus,T2DM)是一种因胰岛素分泌不足或胰岛素抵抗而引起的慢性代谢疾病,T2DM患病人数的快速增长使治疗和预防T2DM成为世界上亟待解决的医学问题。随着微生物组学技术的进步,肠道菌群及其代谢产物与T2DM的研究亦逐渐深入,肠道菌群可能成为治疗和预防T2DM的靶点。肠道菌群及其代谢产物作用于T2DM的潜在机制,主要是参与体内炎症反应、增加肠道短链脂肪酸产量、调节肠道胆汁酸的代谢、调节支链氨基酸的代谢等。目前,治疗T2DM的药物可能会产生一些副作用,而基于肠道菌群干预T2DM的措施相对安全无害。例如,可通过严格控制的特定结构饮食长期摄入或增加益生菌的长期摄取控制血糖,或通过口服可影响肠道菌群生态结构的降糖药物(二甲双胍、阿卡波糖)有效地调控血糖水平。综述基于肠道菌群及其代谢产物诱发T2DM的潜在机制,研讨基于肠道菌群干预T2DM的措施,从肠道菌群的新视角探索治疗T2DM的新方法,为彻底治疗T2DM提供一种新可能。     

Variants of NLRP3 gene are associated with insulin resistance in Chinese Han population with type-2 diabetes

Aims

Nod like receptor pyrin domain containing 3 (NLRP3) is the best characterized member of nod like receptor family. Recent studies suggest that NLRP3 plays a crucial role in the pathogenesis of type-2 diabetes (T2DM), and variants in NLRP3 affect its mRNA stability and expression. Therefore, we hypothesize that the variants in NLRP3 gene may contribute to T2DM susceptibility. The aim of this study is to evaluate the association of NLRP3 SNPs with T2DM in Chinese Han patients.

Methods

Two common variants in NLRP3 gene, rs10754558 and rs4612666, were detected using the polymerase chain reaction–restriction fragment length polymorphism procedure in 952 unrelated T2DM patients and 871 healthy controls. All participants were unrelated Chinese Hans.

Results

The GG genotype and G allele frequencies of rs10754558 were significantly higher in T2DM patients than those in controls (for GG genotype, 19.6% vs. 14.5%, p = 0.019; for G allele, 43.9% vs. 39.8%, p = 0.013). The GG genotype of rs10754558 was significantly associated with higher LDL-C levels and more prone to insulin resistance, as evaluated by HOMA-IR or QUICK indexes.

Conclusions

The variant (rs10754558) in NLRP3 is related to insulin resistance and increased risk of T2DM in Chinese Han population.     

SLC30A8 gene polymorphism (rs13266634 C/T) and type 2 diabetes mellitus in south Iranian population

Type 2 diabetes mellitus (T2DM) is a multifactorial metabolic disorder which is characterized by chronic hyperglycemia. T2DM is due to the interplay of genetic susceptibility and environmental factors. Zinc is an important element for insulin storage and secretion. Zinc transporters ensure zinc transportation across the biological membranes and enable the cellular flow of zinc into the extracellular matrix or the intracellular vesicles. Solute carrier family 30 member 8 (SLC30A8) gene encodes zinc transporter protein member 8. The rs13266634 C/T polymorphism in SLC30A8 gene has been reported with higher risk of T2DM in literature. Thus, the present study aimed to investigate the association between rs13266634 polymorphism and T2DM in Fars province, Southern Iran and compare the results with other populations. A total of 306 subjects were collected from the outpatients of Shahid Motahhari clinic affiliated to Shiraz University of Medical Sciences, Shiraz, Iran. These subjects were genotyped using polymerase chain reaction-restriction fragment length polymorphism and validated by direct sequencing. The frequency of CC genotype in diabetic and control groups was 90 (59.6 %) and 89 (57.4 %). The number of CT genotype was 51 (33.8 %) in the case and 49 (31.6 %) in the control group. The TT genotype was 10 (6.6 %) and 17 (11 %) in diabetic and non-diabetic subjects, respectively. No significant difference was found between the normal and T2DM subjects regarding the allelic and genotypic distribution (p = 0.35, OR = 1.19, 95 % CI 0.82–1.7) and (p = 0.94, OR = 1.7, 95 % CI 0.7–3.9). No significant difference was found between the normal and diabetic subjects regarding the rs13266634 C/T polymorphism in SLC30A8 gene. In comparison with other ethnic groups, the C allele frequency in our population was very similar to that of the European but higher than that of the Eastern Asian and lower than the African populations.     

ENPP1/PC-1 K121Q polymorphism and genetic susceptibility to type 2 diabetes in North Indians

Genetic susceptibility may be responsible for high prevalence of type 2 diabetes worldwide. A common missense single nucleotide polymorphism, K121Q in the ectoenzyme nucleotide pyrophosphate phosphodiesterase (ENPP1) gene, has recently been associated with type 2 diabetes in Italian, South Indian, and American populations. The objective of this study was to investigate the possible role of K121Q polymorphism in ENPP1 gene with type 2 diabetes in North Indians. The genotype of the ENPP1/PC-1 K121Q polymorphism was determined using polymerase chain reaction-restriction fragment length polymorphism analysis for 328 T2DM patients and 326 non-diabetic participants. Anthropometric and clinical characteristics (Body mass index (BMI), glucose, total cholesterol, triglyceride, high-density lipoprotein cholesterol (HDL), Creatinine, HbA1c, and insulin levels) were measured using standard protocols. Their Chi-square analyses were used to test the significance differences in genotypic and allelic frequencies. Association studies were undertaken using the t test and logistic regression analyses. Our results revealed there was no significant difference in the genotypic distribution between T2DM patients and control subjects. The KK and KQ genotype frequencies were similar in T2DM cases and controls (60.7 and 39.3% in T2DM and 59.8 and 40.2% in controls). No subjects with the QQ genotype were found. Binary logistic regression analysis of data did not show any association of K121Q polymorphism with type 2 diabetes (OR; 0.97, 95% CI; 0.7–1.32, P = 0.82). No significant correlation among the BMI, WHR, BP, TG, TC, HDL-C, LDL-C, Glucose, HbA1c, Creatinine, and insulin indices (HOMA-IR) was observed in the individuals carrying KK and KQ genotypes. In conclusion, our results showed that ENPP1/PC-1 K121Q polymorphism is not associated with type 2 diabetes and related quantitative metabolic traits in North Indian Punjabi population.     

Alpha cell function interacts with diet to modulate prediabetes and Type 2 diabetes

Alpha- and beta-cells dysfunction is implicated in the development of Type 2 diabetes mellitus (T2DM). We aimed to evaluate whether alpha- and beta-cell dysfunction may precede prediabetes (PreDM) and T2DM development. Furthermore, we explored the role of two healthy diets (Mediterranean and low-fat diets) modulating these processes. We included 462 patients from the CORDIOPREV study without T2DM at baseline, of which 272 were PreDM. During follow-up, 107 patients developed T2DM (T2DM-incident group), 30 developed PreDM (PreDM-incident group), 86 regressed to normoglycemia (PreDM-regression group) and 29 patients remained without PreDM or T2DM criteria (control group), according to the American Diabetes Association diagnosis criteria. We measured glucose, insulin, glucagon and GLP-1 plasma levels in the OGTT performed at baseline and after 2 years of follow-up. Patients were randomized to consume two healthy diets, a Mediterranean (>35%) and a low-fat (<30%). At baseline we already observed higher levels of glucagon and glucagon/insulin (G/I) ratio in the T2DM-incident group compared with PreDM-incident and control groups. T2DM Risk Assessment by COX analysis using G/I ratio at 30 min after an OGTT was able to assess the T2DM risk with an HR of 2.514. The two dietary models differentially influenced the PreDM regression. Specifically, the consumption of Mediterranean diet was associated with a decrease in G/I ratio (P=.034), whereas the low-fat diet reduced insulin levels (P=.002). Our results suggest that alpha-cell dysfunction precedes the T2DM development. This process seems to be independent of diet consumed. However the PreDM regression might be differentially modulated by diets.     

LKB1基因多态性与2型糖尿病相关性研究

目的:探讨陕西汉族人群中LKB1基因位点rs741765(380CT)及rs6510599(459GA)单核苷酸多态性(SNPs)与2型糖尿病遗传易感性及相关临床代谢指标的关系。方法:采用等位基因特异性引物PCR(SASP-PCR)对2型糖尿病患者130例及健康对照组100例进行LKB1基因内含子6 rs741765(380CT)及内含子1 rs6510599(459GA)两个位点进行基因多态性筛查,并测序鉴定,分析其基因多态性位点与2型糖尿病临床代谢指标关系。结果:rs741765(380CT)基因突变情况:2型糖尿病患者TT基因型频率显著高于健康对照组(P=0.023);TT基因2型糖尿病组中糖化血红蛋白水平及低密度脂蛋白胆固醇水平在型中明显升高(P=0.030;P=0.002);健康对照组中,空腹血糖水平在TT基因型中明显升高(P=0.011)。rs6510599(459GA)基因突变情况:AA基因型频率在2型糖尿病组及健康对照组间无显著性差异(P0.05);该基因位点与临床指标亦无相关性(P0.05)。结论:陕西汉族人群中LKB1基因内含子6 rs741765(380CT)及内含子1 rs6510599(459GA)存在基因多态性。LKB1基因内含子6 rs741765(380CT)基因多态性与2型糖尿病的发病有相关性。LKB1基因内含子1 rs6510599(459GA)基因多态性与2型糖尿病的发病无相关性。     

High-energy-level metabolism and transport occur at the transition from closed to open flowers

During the maturation phase of flower development, the onset of anthesis visibly marks the transition from buds to open flowers, during which petals stretch out, nectar secretion commences, and pollination occurs. Analysis of the metabolic changes occurring during this developmental transition has primarily focused on specific classes of metabolites, such as pigments and scent emission, and far less on the whole network of primary and secondary metabolites. To investigate the metabolic changes occurring at anthesis, we performed multi-platform metabolomics alongside RNA sequencing in individual florets harvested from the main inflorescence of Arabidopsis (Arabidopsis thaliana) ecotype Col-0. To trace metabolic fluxes at the level of the whole inflorescence and individual florets, we further integrated these studies with radiolabeled experiments. These extensive analyses revealed high-energy-level metabolism and transport of carbohydrates and amino acids, supporting intense metabolic rearrangements occurring at the time of this floral transition. These comprehensive data are discussed in the context of our current understanding of the metabolic shifts underlying flower opening. We envision that this analysis will facilitate the introgression of floral metabolic traits promoting pollination in crop species for which a comprehensive knowledge of flower metabolism is still limited.

Anthesis is characterized by intense changes in metabolism accompanied by temporal regulation of central metabolic pathways.     

基于UPLC-MS技术筛选db/db小鼠血清和组织中的小分子2型糖尿病标志物

摘要 目的：2型糖尿病（Type 2 Diabetes Mellitus,T2DM）发病持续增长,并发症致死率高,疾病无法根治需长期用药维持,所以2型糖尿病的早期诊断和预防十分重要。故本研究探究2型糖尿病模型db/db小鼠不同疾病进程中血清和组织代谢谱的变化,筛选密切相关的小分子代谢产物,为2型糖尿病早诊和预防提供参考。方法：本研究利用超高效液相色谱联用四极杆时间飞行质谱（UPLC-QTOF/MS）技术,以8,12,16周龄三个不同阶段db/db小鼠及其对照的血清和组织为研究对象,进行非靶向代谢组学研究。利用MarkerView提取采集到的数据,通过SMICA-P软件进行主成分分析（PCA）和OPLS-DA建模分析,对数据进行降维处理,结合t检验筛选出特异性的差异代谢物,联合二元逻辑回归建立诊断模型。结果：随着病程发展,显示出更多代谢紊乱。二十碳五烯酸(Eicosapentaenoic acid,EPA),酪氨酸(Tyrosine)和亮氨酸(Leucine)三个代谢物在T2DM模型db/db小鼠及其野生对照组血清和组织中具有显著性差异,差异倍数明显且与随疾病进程呈现正负相关性。经过二元逻辑回归建立联合诊断模型,三种代谢物组合的诊断模型为Logit[P=T2DM]=-6.052*[ EPA]+5.837*[ Tyrosine]+1.985*[ Leucine]-14.092。根据此模型建立受试者工作特征曲线(Receiver operating characteristic curve,ROC),曲线下面积(Area under curve,AUC)为0.988,灵敏度和特异性均为98.1%。结论：EPA,Tyrosine和Leucine可被认为是最典型的T2DM标志物,值得进一步探讨,为2型糖尿病的发生风险和治疗提供参考。     

Plasma Metabolomic Profiling of Patients with Diabetes-Associated Cognitive Decline

Diabetes related cognitive dysfunction (DACD), one of the chronic complications of diabetes, seriously affect the quality of life in patients and increase family burden. Although the initial stage of DACD can lead to metabolic alterations or potential pathological changes, DACD is difficult to diagnose accurately. Moreover, the details of the molecular mechanism of DACD remain somewhat elusive. To understand the pathophysiological changes that underpin the development and progression of DACD, we carried out a global analysis of metabolic alterations in response to DACD. The metabolic alterations associated with DACD were first investigated in humans, using plasma metabonomics based on high-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry and multivariate statistical analysis. The related pathway of each metabolite of interest was searched in database online. The network diagrams were established KEGGSOAP software package. Receiver operating characteristic (ROC) analysis was used to evaluate diagnostic accuracy of metabolites. This is the first report of reliable biomarkers of DACD, which were identified using an integrated strategy. The identified biomarkers give new insights into the pathophysiological changes and molecular mechanisms of DACD. The disorders of sphingolipids metabolism, bile acids metabolism, and uric acid metabolism pathway were found in T2DM and DACD. On the other hand, differentially expressed plasma metabolites offer unique metabolic signatures for T2DM and DACD patients. These are potential biomarkers for disease monitoring and personalized medication complementary to the existing clinical modalities.     

Nitric oxide and superoxide dismutase modulate endothelial progenitor cell function in type 2 diabetes mellitus

Background

The renin-angiotensin aldosterone system (RAAS) plays an important role in regulating the blood pressure and the genetic polymorphisms of RAAS genes has been extensively studied in relation to the cardiovascular diseases in various populations with conflicting results. The aim of this study was to determine the association of five genetic polymorphisms (A6G and A20C of angiotensinogen (AGT), MboI of renin, Gly460Trp of aldosterone synthase and Lys173Arg of adducin) of RAAS genes in Malaysian essential hypertensive and type 2 diabetic subjects.

Methods

RAAS gene polymorphisms were determined using mutagenically separated PCR and PCR-RFLP method in a total of 270 subjects consisting of 70 hypertensive subjects without type 2 diabetes mellitus (T2DM), 60 T2DM, 65 hypertensive subjects with T2DM and 75 control subjects.

Results

There was significant difference found in age, body mass index, systolic/diastolic blood pressure, fasting plasma glucose and high density lipoprotein cholesterol levels between the hypertensive subjects with or without T2DM and control subjects. No statistically significant differences between groups were found in the allele frequency and genotype distribution for A20C variant of AGT gene, MboI of renin, Gly460Trp of aldosterone and Lys173Arg of adducin (p > 0.05). However, the results for A6G of AGT gene revealed significant differences in allele and genotype frequencies in essential hypertension with or without T2DM (p < 0.001).

Conclusion

Among the five polymorphisms of RAAS genes only A6G variant of AGT gene was significantly associated in Malaysian essential hypertensive and type 2 diabetic subjects. Therefore, A6G polymorphism of the AGT gene could be a potential genetic marker for increased susceptibility to essential hypertension with or without T2DMin Malaysian subjects.