Education and Technological Institute of Larissa

Lárisa, Greece

Education and Technological Institute of Larissa

Lárisa, Greece
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Kella S.,National Technical University of Athens | Plageras P.,Education and Technological Institute of Larissa | Papaioannou A.,Education and Technological Institute of Larissa | Anastassopoulou,National Technical University of Athens | Theofanidis Th.,National Technical University of Athens
Pharmakeftiki | Year: 2012

Taurine (2-amino-ethan-sulfonic acid) is a "conventional" essential amino acid with numerous medicinal properties. It is a substance similar to beta-alanine, with the difference that it contains a sulfonate group in the position of the carboxyl group and may therefore be called sulfonic amino acid. Taurine was found in the bile of the bull in 1827 and its importance in nutrition began to be appreciated only in 1975. It became widely known as an ingredient of energy drinks such as Red Bull. This paper presents a short overview of the pharmacological properties of taurine, its biological role as well as its uses and perspectives existing in the field of its coordination with metal ions in order to extend its use as therapeutic agent. At present it has been proven that taurine is essential for the development of mammals and that low taurine levels in the body are associated with various pathological conditions such as cardiomyopathy, degeneration of the retina, growth retardation, failure of cells to survive, decreased brain function, diabetes and even epilepsy. Typical pharmaceutical actions of taurine are the antioxidant, cardiovascular, metabolic and detoxifying action. Taurine also serves the digestion of fats, the absorption of fat-soluble vitamins and the control of blood cholesterol levels. It participates in maintaining the integrity of the cell membrane, in the prevention of spermatoblasts and in the regulation of the osmotic pressure. It plays an essential role in the neuronal function, the reproduction of cells and the promotion of glycolysis. Taurine acts in many biological systems such as the cardiovascular system, liver, eyes, central nervous system, reproductive system and the muscular system. Moreover, the role of taurine on growth and survival of cells is of paramount importance. Its presence seems to be crucial to the reproduction and the viability of cells. The use of taurine for therapeutic reasons requires further investigation to clarify its role in some diseases, especially in epilepsy and alcoholism. Also, its interaction with other nutrients such as vitamins and minerals has to be studied further. Special attention has to be given to the importance that low concentrations of taurine in the blood of patients with cancer may have. Its usefulness in nutrition and preventive medicine is however clearly demonstrated and thus taurine is rightly characterized as "conventional" essential amino acid. Because of its structure, taurine is a potential ligand in coordination compounds with metal ions, in addition to its therapeutic actions and properties. The sulphonate group and the aminogroup in the molecule may be coordinated with metal ions through the O and N atoms, respectively. In this scope, many attempts have been made to bind taurine with metal ions in order to create more effective drugs combining properties of both taurine and metal ions.


Papaioannou A.,Education and Technological Institute of Larissa | Dovriki E.,Education and Technological Institute of Larissa | Rigas N.,Education and Technological Institute of Larissa | Plageras P.,Education and Technological Institute of Larissa | And 3 more authors.
Water Resources Management | Year: 2010

Various chemometric methods were used to analyze and model potable water quality data. Twenty water quality parameters were measured at 164 different sites in three representative areas (low land, semi-mountainous, and coastal) of the Thessaly region (Greece), for a 3-month period (September to November 2006). Hierarchical cluster analysis (CA) grouped the 164 sample sites into two clusters (CA-group 1 and CA-group 2) based on the similarities of potable water quality characteristics. Discriminant analysis was assigned about 94.5% of the cases grouped by CA. Factor analysis (FA) was applied to standardized log-transformed data sets to examine the differences between the above clusters and identify their latent factors. For each of the above two clusters (CA-group 1 and CA-group 2), FA yielded six latent factors that explain 68.7% and 73.4% of the total variance, respectively. FA was also identified the latent factors that characterize each cluster. The identification was obtained, using (a) descriptive statistics, (b) t test for equality of cluster means, (c) box plot, (d) error bar, (e) factors score plots, (f) matrix scatter score means plot and (g) scatter plot of the six significant latent factors from the factor set of all samples group. The classification scheme obtained through cluster analysis was confirmed by discriminant analysis and explained by factor analysis. © 2010 Springer Science+Business Media B.V.


Papaioannou A.,Education and Technological Institute of Larissa | Rigas G.,Education and Technological Institute of Larissa | Plageras P.,Education and Technological Institute of Larissa | Karikas G.A.,Technological Educational Institute of Athens | Karamanis G.,General Hospital of Kavala
Journal of Clinical Laboratory Analysis | Year: 2013

Background: In recent years, the use of biochemical markers has received increasing attention for purposes of risk assessment and clinical management in renal failure patients. Chemometric methods are often used in medical studies and there are already indications for their specific role as a tool of the medical statistics. Methods: Three chemometric methods, discriminant analysis (DA), binary logistic regression analysis (BLRA), and cluster analysis (CA), were used for assessment and modeling of routinely used biochemical laboratory data of 18 parameters that were determined from 185 healthy individuals (HIs) and 173 end-stage renal failure (ESRF) patients. Results: The above-mentioned chemometric methods were performed using the data set of 14 parameters since the rest 4 parameters did not present significant difference between healthy and patients. DA created a model using only ALB (Albumin), K (Potassium), TG (Triglyceride), and ALP (Alkaline phosphatase); BLRA model also used the above four parameters; CA classified all the cases into two clusters using the same four parameters and one more parameter, AST (aspartate aminotransferase). Conclusions: This study provides models for assessment and modeling of routinely used biochemical laboratory data, finding groups of similarity among clinical tests usually determined on HIs and ESRF patients, contributing in data mining and reducing costs. © 2013 Wiley Periodicals, Inc.

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