Entity

Time filter

Source Type

Igdr, Turkey

The present study was carried to evaluate the hepatoprotective effect and antioxidant role of sun, sulphited-dried apricot and its kernel against ethanol-induced oxidative stress. The hepatopreventive and antioxidant potential of the plant's supplementations were evaluated by measuring level of serum liver damage marker enzymes (AST, ALT, GGT and LDH), antioxidant defense systems (GSH, GR, SOD, GST and GPX) and MDA content in various tissues of rats. Eight experimental groups: I (control), II (20% ethanol), III (ethanol. +. 15% sun-dried apricot), IV (ethanol. +. 30% sun dried). V (ethanol. +. 15% sulphited-dried), VI (ethanol. +. 30% sulphited-dried), VII (ethanol. +. 15% kernel) and VIII (ethanol. +. 30% kernel). According to the results, the levels of serum enzymes increased significantly in the II group as compared to those of I group, but they decreased in the III, IV, V and VI groups as compared to those of II group. Also, administration of sun and sulphited-dried apricot supplementation restored the ethanol-induced imbalance between MDA and antioxidant system towards near normal particularly in tissues but not its kernel. It is concluded that apricot has a hepatoprotective effect in rats with ethanol, probably acting by promoting the antioxidative defense systems. © 2010 Elsevier Ltd. Source


Kaya E.D.,Igdir University | Soyut H.,Bayburt University | Beydemir T.,Ataturk University
Environmental Toxicology and Pharmacology | Year: 2013

Many studies have shown that metal ions may lead to oxidative stress in biological systems. Accordingly, DNA damage, protein modification, enzyme inhibition and activation, lipid peroxidation and many other effects may occur in living organisms. Many different formations of metal ions may enter human cells along with water, air, and various foods, and humans are negatively affected by these conditions, either directly or indirectly. These effects may cause irreversible damage to human metabolism. In this study, the toxicological effects of heavy metals on carbonic anhydrase enzyme activity from the gilthead sea bream liver were investigated. The carbonic anhydrase enzyme was purified via affinity chromatography and had a specific activity of 6775.5EUmg-1. The kinetics and characteristic properties, such as optimum pH, stable pH, optimum temperature, activation energy (Ea), activation enthalpy (δH), Q10, Km, and Vmax, were determined for the purified enzyme SDS-polyacrylamide gel electrophoresis showed a single band and molecular weight of the subunit was approximately 25kDa. Cd(II), Cu(II), Ni(II) and Ag(I) inhibited the enzyme activity in vitro. The type of inhibition and Ki values for these metals were calculated from Lineweaver-Burk plots as 17.74mM, 36.20mM, 12.85mM and 0.025mM for Cd(II), Cu(II), Ni(II) and Ag(I), respectively. All the metals were noncompetitive inhibitors. © 2013 The Authors. Source


Karaoglu M.,Igdir University
Italian Journal of Agrometeorology | Year: 2014

This study determined the frost calendar of Turkey by using thresholds values for lowest air temperature (-4, -2, 0 °C), minimum grass temperature (0 °C) and daily average temperature (5 °C) of 81 meteorological stations for the reference period of 1978-2012. Critical periods (cold, the riskiest, the safest and the longest vegetative period) were revealed by determining the values of earliest and latest dates of minimum air temperature (0 °C), grass minimum temperature (0 °C) and daily average air temperature (5 °C) for spring and autumn. These critical periods were illustrated via schemas in order to make easy provide easy of use and comparison among stations. Two frost maps were drawn for Turkey by using the dates of late spring (0 °C) and early autumn (0 °C). According to the results obtained from frost calendar, critical periods and frost maps; Turkey is a country having a large variety of frost events. There are cold region stations which have only two frost-free months along with maritime stations where no frost event is observed throughout the year. Stations that have few frost events and shorter frost period compared to their surroundings, and stations which have more frost events and longer frost period are different on maps. The fact that hidden icing (taking place when grass minimum temperature is 0 °C or below) can occur at nearly mid-year is an important and serious problem for traffic and applied meteorology. The main results of this study are the determination of moderate and severe frost dates and frequencies, the dates of hidden icing, the length and variation of maximum growing season, and the maps of frost dates. All this information forms a relevant and useful set of tools for analysis and planning of farm activities. © 2014 Patron Editore S.r.l. All rights reserved. Source


Eyduran E.,Igdir University | Akbas Y.,Ege University
Journal of Animal and Plant Sciences | Year: 2010

This study was conducted to compare performance of univariate and multivariate approaches used for analyzing experiments with repeated measurement and determine the best covariance structure for the data studied. In this study, univariate ANOVA, Geisser-Greenhouse Epsilon and Huynth-Feldt Epsilon were used as univariate approaches while profile analysis, Containment, Satterthwaite and Kenward-Roger approaches in general linear mixed model were applied as multivariate approaches. Annual amounts of wheat production from 65 provinces in seven geographical regions of Turkey from 1982 to 1999 were used as research material. A total of 1170 production values were obtained. In General Linear Model, nine various covariance structures (CS, CSH, UN, HF, AR (1), ARH (1), ANTE (1), TOEP and TOEPH) were applied. AIC and AICC criteria were used to determine the most appropriate covariance pattern for fitting data. In the study, "spherity assumption" for amounts of wheat production of provinces was violated. Application of Containment, Satterthwaite and Kenward-Roger approaches in general linear model and determination of covariance structure with the best fit were provided. According to AIC and AICC fitting criteria, it was determined that CS covariance structure gave the best fit to data set. As a result, covariance structure is compound symmetry (CS) in standard univariate ANOVA, and unstructured (UN) covariance structure in MANOVA. However, determination of the most appropriate covariance structure for data set is possible in multivariate general linear model. Containment, Satterthwaite, and Kenward-Roger approaches gave similar results since total sample size was sufficient. On the other hand, usage of Containment, Satterthwaite and Kenward-Roger approaches in analyzing experiments with repeated measurement were suggested to allow selection of the most suitable covariance structure for data set. Source


Akkas O.,Igdir University
Türkiye parazitolojii dergisi / Türkiye Parazitoloji Derneǧi = Acta parasitologica Turcica / Turkish Society for Parasitology | Year: 2011

This study was carried out to detect the prevalence and evaluate risk factors of Pediculus capitis infestation in four primary schools in Iǧdir in April and May, 2010. The study was performed on 2222 students (6-15 years old), 1116 female and 1106 male. The hair of the students, especially from the neck and back of the head, were examined for egg, nymph and imago of P. capitis. The samples taken from the students were brought to the Medical Laboratory of Health Services Vocational School of Iǧdir University for examination. Each student answered a questionnaire containing some questions related to the infestation. The imago, nymph or eggs of the parasite were encountered in 22.9% of females and in 3.2% of males. Prevalence of infestation in all students was 13.1%. It was determined that there was a significant relation between head louse infestation and gender, socioeconomic status of the schools, hair length, number of people living in the home and the number of rooms in the house. In most comparisons, relations between prevalence of pediculosis capitis and education level, income level and job of the children's father and education level of the children's mother were found significant at different levels. Source

Discover hidden collaborations