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Articles by W. Koenig
Total Records ( 4 ) for W. Koenig
  Q. A Truong , E Siegel , M Karakas , J. L Januzzi , F Bamberg , A. A Mahabadi , S Dasdemir , T. J Brady , A Bergmann , J Kunde , J. T Nagurney , U Hoffmann and W. Koenig
 

Background: Stress myocyte biomarkers are used prognostically in patients with cardiovascular disease. We examined associations between amino-terminal pro–B-type natriuretic peptide (NT-proBNP), midregional pro–A-type natriuretic peptide (MR-proANP), and midregional proadrenomedullin (MR-proADM) concentrations and cardiac chamber volumes in chest pain patients without heart failure by use of computed tomography (CT).

Methods: At the time of 64-slice CT scan, we acquired plasma and serum samples for these biomarkers from 346 patients [mean (SD) age 53 (12) years, 65% men]. Left atrial volume (LAV) and left ventricular volumes at end-diastole (LVEDV) and end-systole (LVESV) were measured and indexed to body surface area (LAVI, LVEDI, LVESI).

Results: Concentrations of both natriuretic peptides were correlated with LAV and LAVI (r = 0.19–0.32, all P ≤ 0.0005) and MR-proADM with LV volumes and indices (r = –0.14 to –0.21, all P ≤ 0.01). NT-proBNP and MR-proANP concentrations were higher in the top quartiles of patients than the lowest quartiles using LAV and LAVI, whereas MR-proADM concentrations were lower in the top quartiles of LV measures. In adjusted analyses, patients had 2- to 4-fold increased risk of LA enlargement for every incremental increase in log10NT-proBNP [LAV odds ratio (OR) 2.4, P = 0.03; LAVI OR 4.0, P = 0.003] and 10- to 13-fold increased risk of LA enlargement for every incremental increase in log10MR-proANP (LAV OR 10.7, P = 0.009; LAVI OR 13.1, P = 0.004).

Conclusions: In patients without heart failure, both NT-proBNP and MR-proANP concentrations are independently associated with LA enlargement, whereas MR-proADM concentrations are correlated with LV volumes. This may partially explain the well-recognized value of natriuretic peptides for use in risk stratification.

  M Karakas , J Baumert , S Greven , R Ruckerl , A Peters and W. Koenig
 

Background: Among the numerous emerging biomarkers, high-sensitivity C-reactive protein (hsCRP) and interleukin-6 (IL-6) have received widespread interest, and a large database has been accumulated on their potential role as predictors of cardiovascular risk. The concentrations of inflammatory biomarkers, however, are influenced, among other things, by physiological variation, which is the natural within-individual variation occurring over time. Implementation of hsCRP and IL-6 measurement into clinical practice requires data on the reliability of such measurements.

Methods: We serially measured hsCRP and IL-6 concentrations in up to 6 blood samples taken at monthly intervals from 200 post–myocardial infarction patients who participated in the AIRGENE study.

Results: The mean (SD) of the ln-transformed plasma concentrations (in milligrams per liter for hsCRP and nanograms per liter for IL-6) for all participants over all samples was 0.16 (1.04) for hsCRP and 0.76 (0.57) for IL-6, with no significant differences between men and women. The within-individual and analytical variance component for the ln-transformed hsCRP data was 0.37, and the between-individual variance component was 0.73. For the ln-transformed IL-6 data, these values were 0.11 and 0.22, respectively. A substantial part of the total variation in plasma hsCRP and IL-6 concentrations was explained by the between-individual variation (as a percentage of the total variance, 66.1% for the ln-transformed hsCRP data and 66.2% for the ln-transformed IL-6 data). For both markers, 2 measurements were needed to reach a sufficient reliability.

Conclusions: Our results demonstrate considerable stability and good reproducibility for serial hsCRP and IL-6 measurements. Thus, there should be no major concern about misclassification in clinical practice if at least 2 subsequent measurements are taken.

  A Imhof , I Plamper , S Maier , G Trischler and W. Koenig
  OBJECTIVE

Moderate alcohol consumption is associated with reduced incidence of type 2 diabetes and cardiovascular mortality and increases adiponectin concentrations, but effects might differ according to sex and beverage consumed.

RESEARCH DESIGN AND METHODS

A total of 72 healthy individuals (22–56 years) were enrolled in this randomized controlled crossover trial. After washout, two interventions for 3 weeks followed: ethanol (concentration 12.5%), beer (5.6%), or red wine (12.5%) equivalent to 30 g ethanol/day for men and 20 g/day for women or the same de-alcoholized beverages or water. Adiponectin was measured by sandwich enzyme-linked immunosorbent assay.

RESULTS

Among women, adiponectin significantly increased after consuming red wine (29.8%, P < 0.05) and increased among men after ethanol solution (17.4%, P < 0.05) and consuming beer (16.1%, P < 0.05). De-alcoholized beverages had no substantial effect on adiponectin concentrations.

CONCLUSIONS

Moderate amounts of ethanol-containing beverages increased adiponectin concentrations, but sex-specific effects might depend on type of beverage consumed.

  B. Thorand , A. Zierer , J. Baumert , C. Meisinger , C. Herder and W. Koenig
  Aims  Adipocyte-derived hormones seem to be involved in the development of Type 2 diabetes. Therefore, we assessed the association between the proinflammatory adipokine leptin and incident Type 2 diabetes, taking into account interactions between leptin and the anti-inflammatory adipokine adiponectin.

Methods  Using a case-cohort design, serum levels of adipokines were measured in 460 cases with incident Type 2 diabetes and 1474 non-cases selected from a source population of 7936 middle-aged subjects participating in the population-based Monitoring of Trends and Determinants in Cardiovascular Disease (MONICA)/Cooperative Health Research in the Region of Augsburg (KORA) Augsburg cohort study between 1984 and 1995 and followed up until 2002 (mean follow-up 10.9±4.7 years).

Results  High leptin and low adiponectin levels were associated with an increased Type 2 diabetes risk. The multivariable adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) comparing tertile extremes were 1.71 (1.12-2.63) for leptin (top vs. bottom tertile) and 2.65 (1.88-3.76) for adiponectin (bottom vs. top tertile), respectively. There was a significant interaction between leptin and adiponectin, with highest diabetes risk being observed in individuals with high leptin and low adiponectin levels (P = 0.029 for interaction).While the addition of adiponectin to a basic risk factor model improved model prediction (Δ area under the curve 0.011), the change in model prediction was only marginal after the addition of leptin (Δ area under the curve 0.002).

Conclusions  Our findings indicate that the two adipokines leptin and adiponectin interact in modulating Type 2 diabetes risk, but adiponectin is more strongly associated with Type 2 diabetes risk than leptin.

 
 
 
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