Circulating Irisin Concentrations Are Associated with a Favourable Lipid Profile in the General Population

Background/aimsIrisin is a myokine, which is mainly inversely associated with the risk for non-communicable diseases. Irisin improves cellular energy metabolism by uncoupling the mitochondrial respiratory chain resulting in increased energy expenditure using lipids. To date potential associations between irisin concentration and lipid profile are poorly understood. Therefore, this investigation aimed to evaluate potential associations between irisin and lipid levels in the general population.MethodsData of 430 men and 537 women from the population-based Study of Health in Pomerania (SHIP-TREND) with available irisin and lipid concentrations were used. Analyses of variance, linear and logistic regression models adjusted for age, HBA1c, waist circumference, physical activity, smoking, alcohol consumption, systolic blood pressure, ALAT were calculated.ResultsWe detected significantly inverse associations between irisin and circulating levels of total [beta coefficient 0.21 (standard error 0.08), p = 0.01], low-density cholesterol [-0.16 (0.07), p = 0.03] and triglycerides [-0.17 (0.08), p = 0.02] for men. Females without lipid lowering medication had an inverse association between irisin and total cholesterol [-0.12 (0.06), p = 0.05]. Further, male subjects with irisin concentrations in the third tertile had an increased odds for elevated low-density cholesterol [odds ratio 1.96 (95% confidence interval 1.07–3.48), p = 0.03) and triglyceride [1.95 (1.09–3.47), p = 0.02] levels, even after exclusion of subjects with lipid lowering medication. In addition, our data revealed an annual rhythm of serum irisin levels with peak levels arise in winter and summer months.ConclusionThis is the first investigation to report a significant association between circulating irisin and a favourable lipid profile in the general population. This may infer that higher irisin concentrations are associated with a reduced risk for non-communicable diseases.     

GIP as a potential therapeutic agent?

Glucose-dependent insulinotropic polypeptide (GIP) is released from K-cells in the gut after meal ingestion, and acts in concert with glucagon-like peptide 1 (GLP-1) to augment glucose-stimulated insulin secretion. While derivatives of GLP-1 are under active investigation for the treatment of type 2 diabetes, the case is different for GIP. Indeed, the insulinotropic effect of GIP is almost absent in patients with type 2 diabetes. In addition, the unfavourable pharmacokinetic profile of native GIP obviates its clinical application. Different analogues of GIP exhibiting prolonged stability and enhanced biological potency have been generated in order improve the anti-diabetic properties of GIP. However, glucose-normalisation, as is typically observed during the intravenous administration of GLP-1 in patients with type 2 diabetes, has not yet been achieved with GIP or its derivatives. Since GIP appears to play a role in lipid physiology and elevated levels of GIP have been associated with obesity, antagonising GIP action has been proposed as a therapeutic strategy for obesity. This concept has recently been reinforced by the observation that GIP receptor knock-out mice are protected from high-fat diet-induced obesity. However, eliminating the effect of endogenous GIP may at the same time impair postprandial insulin secretion, thereby severely disturbing glucose homeostasis. Therefore, therapeutic strategies based on either augmenting or antagonising GIP action are far from being established alternatives for the future therapy of type 2 diabetes or obesity.     

Fluorescence-based single-strand conformation polymorphism analysis of the low density lipoprotein receptor gene by capillary electrophoresis

We describe here a new method to screen for unknown mutations in the low density lipoprotein (LDL) receptor gene by the use of capillary electrophoresis in single-strand conformation polymorphism (SSCP) analysis. To analyze the promoter and all 18 exons, 20 different amplification reactions were necessary. For each polymerase chain reaction (PCR), the forward and reverse primers were 5′ fluorescent-labelled with FAM and HEX, respectively. To test the accuracy of the newly developed method, 61 genetic variants distributed in 16 exons were analyzed. Under identical electrophoresis conditions (13 kV, 30°C, 30 min), 59 mutations were detected by a distinct abnormal SSCP pattern. The two remaining mutations showed only slight abnormalities, which could be amplified by increasing the electrophoresis temperature. The high accuracy, the degree of automation and the speed of analysis make fluorescence-based SSCP analysis with capillary electrophoresis ideal for rapid mutation screening and the technique is well-suited for clinical applications.     

Genome-wide association study identifies four genetic loci associated with thyroid volume and goiter risk

Thyroid disorders such as goiters represent important diseases, especially in iodine-deficient areas. Sibling studies have demonstrated that genetic factors substantially contribute to the interindividual variation of thyroid volume. We performed a genome-wide association study of this phenotype by analyzing a discovery cohort consisting of 3620 participants of the Study of Health in Pomerania (SHIP). Four genetic loci were associated with thyroid volume on a genome-wide level of significance. Of these, two independent loci are located upstream of and within CAPZB, which encodes the β subunit of the barbed-end F-actin binding protein that modulates actin polymerization, a process crucial in the colloid engulfment during thyroglobulin mobilization in the thyroid. The third locus marks FGF7, which encodes fibroblast growth factor 7. Members of this protein family have been discussed as putative signal molecules involved in the regulation of thyroid development. The fourth locus represents a "gene desert" on chromosome 16q23, located directly downstream of the predicted coding sequence LOC440389, which, however, had already been removed from the NCBI database as a result of the standard genome annotation processing at the time that this study was initiated. Experimental proof of the formerly predicted mature mRNA, however, demonstrates that LOC440389 indeed represents a real gene. All four associations were replicated in an independent sample of 1290 participants of the KORA study. These results increase the knowledge about genetic factors and physiological mechanisms influencing thyroid volume.     

Blood cis-eQTL Analysis Fails to Identify Novel Association Signals among Sub-Threshold Candidates from Genome-Wide Association Studies in Restless Legs Syndrome

Restless legs syndrome (RLS) is a common neurologic disorder characterized by nightly dysesthesias affecting the legs primarily during periods of rest and relieved by movement. RLS is a complex genetic disease and susceptibility factors in six genomic regions have been identified by means of genome-wide association studies (GWAS). For some complex genetic traits, expression quantitative trait loci (eQTLs) are enriched among trait-associated single nucleotide polymorphisms (SNPs). With the aim of identifying new genetic susceptibility factors for RLS, we assessed the 332 best-associated SNPs from the genome-wide phase of the to date largest RLS GWAS for cis-eQTL effects in peripheral blood from individuals of European descent. In 740 individuals belonging to the KORA general population cohort, 52 cis-eQTLs with p_nominal<10⁻³ were identified, while in 976 individuals belonging to the SHIP-TREND general population study 53 cis-eQTLs with p_nominal<10⁻³ were present. 23 of these cis-eQTLs overlapped between the two cohorts. Subsequently, the twelve of the 23 cis-eQTL SNPs, which were not located at an already published RLS-associated locus, were tested for association in 2449 RLS cases and 1462 controls. The top SNP, located in the DET1 gene, was nominally significant (p<0.05) but did not withstand correction for multiple testing (p = 0.42). Although a similar approach has been used successfully with regard to other complex diseases, we were unable to identify new genetic susceptibility factor for RLS by adding this novel level of functional assessment to RLS GWAS data.     

Regional Differences of Undiagnosed Type 2 Diabetes and Prediabetes Prevalence Are Not Explained by Known Risk Factors

Background

We have previously found regional differences in the prevalence of known type 2 diabetes between northeastern and southern Germany. We aim to also provide prevalence estimates for prediabetes (isolated impaired fasting glucose (i-IFG), isolated glucose intolerance (i-IGT), combined IFG and IGT) and unknown type 2 diabetes for both regions.

Methods

Prevalence (95%CI) of prediabetes (i-IFG: fasting glucose 5.6–6.9 mmol/l; i-IGT: 2 h postchallenge gluose 7.8–11.0 mmol/l, oral glucose tolerance test (OGTT), ≥8 h overnight fasting) and unknown diabetes were analyzed in two regional population-based surveys (age group 35–79 years): SHIP-TREND (Study of Health in Pomerania (northeast), 2008–2012) and KORA F4 (Cooperative Health Research in the region of Augsburg (south), 2006–2008). Both studies used similar methods, questionnaires, and identical protocols for OGTT. Overall, 1,980 participants from SHIP-TREND and 2,617 participants from KORA F4 were included.

Results

Age-sex-standardized prevalence estimates (95%CI) of prediabetes and unknown diabetes were considerably higher in the northeast (SHIP-TREND: 43.1%; 40.9–45.3% and 7.1%; 5.9–8.2%) than in the south of Germany (KORA F4: 30.1%; 28.4–31.7% and 3.9%; 3.2–4.6%), respectively. In particular, i-IFG (26.4%; 24.5–28.3% vs. 17.2%; 15.7–18.6%) and IFG+IGT (11.2%; 9.8–12.6% vs. 6.6%; 5.7–7.5%) were more frequent in SHIP-TREND than in KORA. In comparison to normal glucose tolerance, the odds of having unknown diabetes (OR, 95%CI: 2.59; 1.84–3.65) or prediabetes (1.98; 1.70–2.31) was higher in the northeast than in the south after adjustment for known risk factors (obesity, lifestyle).

Conclusions

The regional differences of prediabetes and unknown diabetes are in line with the geographical pattern of known diabetes in Germany. The higher prevalences in the northeast were not explained by traditional risk factors.     

Effect of exogenous or endogenous gastric inhibitory polypeptide (GIP) on plasma triglyceride responses in rats.

We examined the effects of exogenous and endogenous GIP on plasma triglyceride levels in rats, pretreated with a fat-enriched diet, during intraduodenal infusion of a lipid test meal (Lipomul, 8 ml/h). Following the fat load the plasma triglyceride levels increased nearly linearly from a fasting value of 0.621 +/- 0.031 mmol/l to 3.32 +/- 0.403 mmol/l at 150 min. Simultaneously, the plasma GIP levels rose from 47.1 +/- 5.1 at fasting to a peak value of 268.4 +/- 32.2 pmol/l at 120 min. When porcine GIP was infused intravenously during the fat load, the plasma triglyceride increments were significantly smaller (control 1.64 +/- 0.264 mmol/l versus 0.949 +/- 0.114 mmol/l during GIP infusion at 60 min; p less than 0.002). GIP infusion in the absence of the fat load did not change fasting triglyceride levels. The effect of endogenous GIP was investigated by neutralization of GIP by injection of GIP antiserum (0.3 ml). Rats pretreated with the antiserum exhibited a significantly greater triglyceride increment late in the time course of the fat load. These data demonstrate that exogenous and endogenous GIP are able to lower the plasma triglyceride response to a fat load. Both, inhibition of fat absorption or stimulation of triglyceride uptake by peripheral tissues may be responsible for the GIP effects. The gut peptide GIP seems to represent an important hormonal regulator of postprandial triglyceride response.     

Induction of glucokinase by insulin under the permissive action of dexamethasone in primary rat hepatocyte cultures.

Glucokinase, the organ specific key enzyme of glucose metabolism in liver, was studied in primary cultures of adult rat hepatocytes during the first two days after cell preparation. In the presence of dexamethasone low concentrations of insulin (10^?9 mol/l) prevented the observed time dependent decrease of glucokinase activity while higher insulin concentrations (10^?8 and 10^?7 mol/l) led to a twofold increase of enzyme activity. The enhancement of glucokinase activity was completely blocked by either actinomycin D or cycloheximide. The degree of this insulin dependent induction was correlated with the concentration of added dexamethasone, which seemed to perform a permissive function. The induction of glucokinase activity could be prevented by addition of glucagon (2 × 10^?7 mol/l).     

Type 2 diabetes whole-genome association study in four populations: the DiaGen consortium

Type 2 diabetes (T2D) is a common, polygenic chronic disease with high heritability. The purpose of this whole-genome association study was to discover novel T2D-associated genes. We genotyped 500 familial cases and 497 controls with >300,000 HapMap-derived tagging single-nucleotide-polymorphism (SNP) markers. When a stringent statistical correction for multiple testing was used, the only significant SNP was at TCF7L2, which has already been discovered and confirmed as a T2D-susceptibility gene. For a replication study, we selected 10 SNPs in six chromosomal regions with the strongest association (singly or as part of a haplotype) for retesting in an independent case-control set including 2,573 T2D cases and 2,776 controls. The most significant replicated result was found at the AHI1-LOC441171 gene region.     

Two statistical criteria to choose the method for dilution correction in metabolomic urine measurements

Introduction

Different normalization methods are available for urinary data. However, it is unclear which method performs best in minimizing error variance on a certain data-set as no generally applicable empirical criteria have been established so far.

Objectives

The main aim of this study was to develop an applicable and formally correct algorithm to decide on the normalization method without using phenotypic information.

Methods

We proved mathematically for two classical measurement error models that the optimal normalization method generates the highest correlation between the normalized urinary metabolite concentrations and its blood concentrations or, respectively, its raw urinary concentrations. We then applied the two criteria to the urinary ¹H-NMR measured metabolomic data from the Study of Health in Pomerania (SHIP-0; n?=?4068) under different normalization approaches and compared the results with in silico experiments to explore the effects of inflated error variance in the dilution estimation.

Results

In SHIP-0, we demonstrated consistently that probabilistic quotient normalization based on aligned spectra outperforms all other tested normalization methods. Creatinine normalization performed worst, while for unaligned data integral normalization seemed to most reasonable. The simulated and the actual data were in line with the theoretical modeling, underlining the general validity of the proposed criteria.

Conclusions

The problem of choosing the best normalization procedure for a certain data-set can be solved empirically. Thus, we recommend applying different normalization procedures to the data and comparing their performances via the statistical methodology explicated in this work. On the basis of classical measurement error models, the proposed algorithm will find the optimal normalization method.