Search Results

You are looking at 1 - 4 of 4 items for

  • Author or Editor: I. Wittmann x
Clear All Modify Search
Authors: K. I. Kis, P. T. Taylor, G. Wittmann, H. R. Kim, B. Toronyi and T. Mayer-Gürr

To solve a geophysical inverse problem means applying measurements to determine the parameters of the selected model. The inverse problem is formulated as the Bayesian inference. The Gaussian probability density functions are applied in the Bayes's equation. The CHAMP satellite gravity data are determined at the altitude of 400 km altitude over the South part of the Pannonian Basin. The model of interpretation is the right vertical cylinder. The parameters of the model are obtained from the minimum problem solved by the Simplex method.

Restricted access
Authors: Zs. Biró, Vanda Nemes, G. Molnár, I. Wittmann, Andrea Ludány and D. Lőrinczy

Abstract  

Modifications of lens proteins play a crucial role in the formation of cataract, which is among the leading causes of world blindness in the ageing population. Although modern cataract surgery by phacoemulsification is a very successful and safe procedure, the prevention of cataract formation would be a real breakthrough in this field of ophthalmology. The aim of our study was to analyse the thermal denaturation of the cataractous lens proteins by the method of differential scanning calorimetry (DSC), to understand cataract formation and to work on its prevention possibilities. Samples were obtained from cataract patients of different age, sex, patients with and without diabetes mellitus. Samples were obtained from lenses of mature degree and progredient degree of cataract as well. Previous DSC examinations were performed on manually extracted human cataractous lens materials, however to the best of our knowledge, this is the first study, in which DSC examinations were performed on lens materials obtained by the phacoemulsification technique, which gained acceptance world-wide in the last decade.

Restricted access
Restricted access
Authors: B. Sági, A. Peti, O. Lakatos, T. Gyimesi, E. Sulyok, I. Wittmann and Botond Csiky

Abstract

Objective

In this observational study we addressed accelerated arteriosclerosis (AS) in patients with chronic renal failure (CRF) on hemodialysis (HD) by measuring vascular stiffness (VS) parameters and attempted to relate them to pro-inflammatory and protective factors.

Patients

96 consecutive patients receiving regular HD were included. 20 adult patients without major renal, cardiovascular or metabolic morbidities served as controls.

Methods

AS parameters (carotid-femoral pulse wave velocity – PWV, aortic augmentation index – Aix) were measured by using applanation tonometry (SphygmoCor, AtCor Medical, Sidney). In addition to routine laboratory tests 25(OH) vitamin D3 (vitamin D3) and high-sensitivity C-reactive protein (hsCRP) were quantified by immunometric assay; whereas fetuin-A, α-Klotho, tumor necrosis factor-α (TNF-α) and transforming growth factor-β1 (TGF-β1) were determined by ELISA.

Results

Pro-inflammatory biomarkers (hsCRP, TNF-α and TGF-β1) were markedly elevated (P < 0.01), while anti-inflammatory factors (fetuin-A: P < 0.05, α-Klotho: P < 0.01, vitamin D3: P < 0.01) significantly depressed in HD patients when compared to controls. PWV was significantly affected only by total cholesterol, fetuin-A and dialysis time. Multiple linear regression analyses revealed that several clinical and laboratory parameters were associated with pro- and anti-inflammatory biomarkers rather than VS. The impact of baseline clinical and biochemical variables on outcome measures were also analyzed after three-year follow-up, and it was demonstrated that low levels of vitamin D, α-Klotho protein and fetuin-A were related to adverse cardiovascular outcomes, whereas all-cause mortality was associated with elevated hsCRP and depressed vitamin D.

Conclusions

Our results provide additional information on the pathomechanism of accelerated AS in patients with CRF, and documented direct influence of pro- and anti-inflammatory biomarkers on major outcome measures.

Open access