Carmen Pheiffer

Z‐2‐(β‐d‐glucopyranosyloxy)‐3‐phenylpropenoic acid, an α‐hydroxy acid from rooibos (Aspalathus linearis) with hypoglycemic activity

SCOPE The rare enolic phenylpyruvic acid-2-O-glucoside, (PPAG:Z-2-(β-D-glucopyranosyloxy)-3-phenylpropenoic acid), is one of the major constituents of fermented rooibos infusions. 3-Phenylpyruvic acid (2-oxo-3-phenylpropanoic acid), without the sugar moiety and with a keto form instead of an enolic arrangement, has been shown to enhance insulin release and glucose uptake in muscle cells. The purpose of this study was to assess if PPAG has similar activity on glucose metabolism. METHODS AND RESULTS Preliminary in vitro studies confirmed that PPAG, isolated from rooibos, enhanced glucose uptake. A dose-response study in Chang cells showed that PPAG enhanced glucose uptake in the concentration range 1.0-31.6 μM (EC50 = 3.6 μM). In obese insulin-resistant rats, oral administration of PPAG lowered fasting glucose concentrations and improved oral glucose tolerance values; messenger RNA expression of glucokinase, glucose transporter 1 and 2, insulin receptor, peroxisome proliferator-activated receptor alpha, and suppressor of cytokine signaling 3, were increased in the liver. This suggests that the liver is mainly responsible for PPAG bioactivity. CONCLUSION This study describes for the first time that PPAG increases in vitro glucose uptake and improves glucose tolerance in an obese insulin-resistant rat model, suggesting that it has potential as a new class of antidiabetic therapeutics that would contribute to the antidiabetic effect of rooibos.

Expression of UCP2 in Wistar rats varies according to age and the severity of obesity

Obesity, a complex metabolic disorder, is characterized by mitochondrial dysfunction and oxidative stress. Increased expression of uncoupling protein 2 (UCP2) during obesity is an adaptive response to suppress the production of reactive oxygen species. The aims of this study were to compare the expression of UCP2 in diet-induced obese Wistar rats that differed according to age and their severity of obesity, and to compare UCP2 expression in the liver and muscle of these rats. UCP2 messenger RNA and protein expression was increased 4.6-fold (p < 0.0001) and 3.0-fold (p < 0.05), respectively, in the liver of the older and heavier rats. In contrast, UCP2 expression was decreased twofold (p < 0.005) in the muscle of these rats, while UCP3 messenger RNA (mRNA) was increased twofold (p < 0.01). Peroxisome proliferator-activated receptor alpha (PPARα) was similarly increased (3.0-fold, p < 0.05) in the liver of the older and more severe obese rats. Total protein content was increased (2.3-fold, p < 0.0001), while 5′ adenosine monophosphate-activated protein kinase (AMPK) activity was decreased (1.3-fold, p = 0.05) in the liver of the older, heavier rats. No difference in total protein content and AMPK expression was observed in the muscle of these rats. This study showed that the expression of UCP2 varies according to age and the severity of obesity and supports the widely held notion that increased UCP2 expression is an adaptive response to increased fatty acid β-oxidation and reactive oxygen species production that occurs during obesity. An understanding of metabolic adaptation is imperative to gain insight into the underlying causes of disease, thus facilitating intervention strategies to combat disease progression.

Decreased global DNA methylation in the white blood cells of high fat diet fed vervet monkeys (Chlorocebus aethiops).

Epigenetic mechanisms are associated with the development of many chronic diseases and due to their reversible nature offer a unique window of opportunity to reverse the disease phenotype. This study investigated whether global DNA methylation correlates with dysglycemia in the vervet monkey (Chlorocebus aethiops). Diet-induced changes in DNA methylation were observed where global DNA methylation was twofold lower in monkeys fed a high fat diet (n = 10) compared to monkeys fed a standard diet (n = 15). An inverse correlation was observed between DNA methylation, blood glucose concentrations, bodyweight, and age, although the association was not statistically significant. Consumption of a high fat diet is associated with the development of metabolic disease; thus, these results suggest the use of global DNA methylation as a biomarker to assess the risk for metabolic disease. Moreover, this study provides further support for the use of the vervet monkey as a model system to study metabolic diseases such as type 2 diabetes. Integration of altered DNA methylation profiles into predictive models could facilitate risk stratification and enable intervention strategies to inhibit disease progression. Such interventions could include lifestyle modifications, for example, the increased consumption of functional foods with the capacity to modulate DNA methylation, thus potentially reversing the disease phenotype and preventing disease.

Differential DNA methylation of microRNAs within promoters, intergenic and intragenic regions of type 2 diabetic, pre-diabetic and non-diabetic individuals

OBJECTIVE Accumulating evidence supports the role of epigenetic modifications, and in particular DNA methylation and non-coding RNAs in the pathophysiology of type 2 diabetes. Alterations in methylation patterns within promoter regions are linked with aberrant transcription and pathological gene expression; however the role of methylation within non-promoter regions is not yet fully elucidated. DESIGN AND METHODS We performed whole genome methylated DNA immunoprecipitation sequencing (MeDIP-Seq) in peripheral-blood-derived DNA from age-gender-body mass index (BMI)-ethnicity matched type 2 diabetic, pre-diabetic and non-diabetic individuals. RESULTS The density of methylation normalized to the average length of the promoter, intergenic and intragenic regions and to CpG count was 3.17, 9.80 and 0.09 for the promoter, intergenic and intragenic regions, respectively. Methylation within these regions varied according to glucose tolerance status and was associated with hypermethylation rather than hypomethylation. MicroRNA-DNA methylation peaks accounted for 4.8% of the total number of peaks detected. Differential DNA methylation of these microRNA peaks was observed during dysglycemia, with the promoter, intergenic and intragenic regions accounting for 2%, 95% and 3% respectively, of the differentially methylated microRNA peaks. CONCLUSION Genome-wide DNA methylation varied according to glucose tolerance. Methylation within non-promoter regions accounted for the majority of differentially methylated peaks identified, thus highlighting the importance of DNA methylation within these non-promoter regions in the pathogenesis of type 2 diabetes. This study suggests that DNA methylation within intergenic regions is a mechanism regulating microRNAs, another increasingly important epigenetic factor, during type 2 diabetes.

Genome-Wide DNA Methylation in Mixed Ancestry Individuals with Diabetes and Prediabetes from South Africa

Aims. To conduct a genome-wide DNA methylation in individuals with type 2 diabetes, individuals with prediabetes, and control mixed ancestry individuals from South Africa. Methods. We used peripheral blood to perform genome-wide DNA methylation analysis in 3 individuals with screen detected diabetes, 3 individuals with prediabetes, and 3 individuals with normoglycaemia from the Bellville South Community, Cape Town, South Africa, who were age-, gender-, body mass index-, and duration of residency-matched. Methylated DNA immunoprecipitation (MeDIP) was performed by Arraystar Inc. (Rockville, MD, USA). Results. Hypermethylated DMRs were 1160 (81.97%) and 124 (43.20%), respectively, in individuals with diabetes and prediabetes when both were compared to subjects with normoglycaemia. Our data shows that genes related to the immune system, signal transduction, glucose transport, and pancreas development have altered DNA methylation in subjects with prediabetes and diabetes. Pathway analysis based on the functional analysis mapping of genes to KEGG pathways suggested that the linoleic acid metabolism and arachidonic acid metabolism pathways are hypomethylated in prediabetes and diabetes. Conclusions. Our study suggests that epigenetic changes are likely to be an early process that occurs before the onset of overt diabetes. Detailed analysis of DMRs that shows gradual methylation differences from control versus prediabetes to prediabetes versus diabetes in a larger sample size is required to confirm these findings.

Association between gestational diabetes and biomarkers: a role in diagnosis

Abstract Background: We investigated the association between markers of insulin resistance, chronic inflammation, and adipokines and GDM. Methods: In our case-cohort study in Johannesburg we included women with GDM and controls. We tested the ability of biomarkers to identify women at high risk of GDM. Results: Of the 262 pregnant women, 83 (31.7%) had GDM. Women with GDM were heavier (p = 0.04) and had more clinical risk factors (p = 0.008). We found a significant difference in fasting insulin (p < 0.001), adiponectin (p = 0.046), HOMA (p < 0.001) and QUICKI (p < 0.001). HOMA (AUROC = 0.82) or QUICKI (AUROC = 0.82) improved the ability of risk factors to identify women at high risk of GDM. Conclusions: Insulin sensitivity markers are promising tools to identify women at high risk of GDM.

Glucose Tolerance, MTHFR C677T and NOS3 G894T Polymorphisms, and Global DNA Methylation in Mixed Ancestry African Individuals

The aim of this study is to quantify global DNA methylation and investigate the relationship with diabetes status and polymorphisms in MTHFR C677T and NOS3 G894T genes in mixed ancestry subjects from South Africa. Global DNA methylation was measured, and MTHFR rs1801133 and NOS3 rs1799983 polymorphisms were genotyped using high throughput real-time polymerase chain reaction and direct DNA sequencing. Of the 564 participants, 158 (28%) individuals had T2DM of which 97 (17.2%) were screen-detected cases. Another 119 (21.1%) had prediabetes, that is, impaired fasting glucose, impaired glucose tolerance, or the combination of both, and the remainder 287 (50.9%) had normal glucose tolerance. Global DNA methylation was significantly higher in prediabetes and screen-detected diabetes than in normal glucose tolerance (both p ≤ 0.033) and in screen-detected diabetes compared to known diabetes on treatment (p = 0.019). There was no difference in global DNA methylation between known diabetes on treatment and normal glucose tolerance (p > 0.999). In multivariable linear regression analysis, only NOS3 was associated with increasing global DNA methylation (β = 0.943; 95% CI: 0.286 to 1.560). The association of global DNA methylation with screen-detected diabetes but not treated diabetes suggests that glucose control agents to some extent may be reversing DNA methylation. The association between NOS3 rs1799983 polymorphisms and DNA methylation suggests gene-epigenetic mechanisms through which vascular diabetes complications develop despite adequate metabolic control.

A dose-dependent effect of dimethyl sulfoxide on lipid content, cell viability and oxidative stress in 3T3-L1 adipocytes

Highlights • Depending on the concentration, dimethyl sulfoxide (DMSO) can be toxic to cells.• 3T3-L1 adipocytes are a well-established model to study anti-obesity properties.• DMSO doses ≥1% reduced cell viability and promoted cell damage in 3T3-L1 adipocytes.

Molecular Biomarkers for Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) is a growing public health problem worldwide. The condition is associated with perinatal complications and an increased risk for future metabolic disease in both mothers and their offspring. In recent years, molecular biomarkers received considerable interest as screening tools for GDM. The purpose of this review is to provide an overview of the current status of single-nucleotide polymorphisms (SNPs), DNA methylation, and microRNAs as biomarkers for GDM. PubMed, Scopus, and Web of Science were searched for articles published between January 1990 and August 2018. The search terms included “gestational diabetes mellitus”, “blood”, “single-nucleotide polymorphism (SNP)”, “DNA methylation”, and “microRNAs”, including corresponding synonyms and associated terms for each word. This review updates current knowledge of the candidacy of these molecular biomarkers for GDM with recommendations for future research avenues.