12 research outputs found

    The Association Between Some Macro and Trace Elements in Saliva and Periodontal Status

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    Changes in the macro and trace element composition of saliva might be indicative for pathological changes in periodontal tissues. However, there is a lack of evidence in the literature showing associations between mineral elements and periodontal status. The aim of this study was to determine whether such associations occur. Totally, 190 systemically healthy non-smoker participants (mean age 32.2 ± 6.02; 50 periodontally healthy, 50 gingivitis, 50 chronic periodontitis, and 40 aggressive periodontitis individuals) were included in this cross-sectional study. Salivary levels of some macro and trace elements were measured by using inductively coupled plasma mass spectrometry (ICP-MS). Kruskal-Wallis’s test was used for statistical analysis. Statistically significant differences were found in sodium (Na), magnesium (Mg), potassium (K), calcium (Ca), vanadium (V), chromium Cr), manganese (Mn), iron (Fe), rubidium (Rb), strontium (Sr), and selenium (Se) concentrations among the groups. Significant increases in the essential minerals Na, Mg, K, Ca, Fe, and Se occurred in both periodontitis groups when compared to the gingivitis and periodontally healthy groups. Lower Se, Sr, Fe, Mn, and V concentrations were found in the aggressive periodontitis group than in the chronic periodontitis group. The results of this study demonstrated that assessment of mineral element concentrations in saliva might be useful in assessing periodontal health and disease. However, further studies are required to determine whether the change in a specific mineral element is the result of periodontal disease or is involved in its pathogenesis.</p

    Salivary Del‐1, IL‐17, and LFA‐1 levels in periodontal health and disease

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    AbstractObjective and BackgroundDevelopmental endothelial locus‐1 (Del‐1), lymphocyte function‐associated antigen‐1 (LFA‐1), and interleukin 17 (IL‐17) play critical roles in transendothelial migration of neutrophils in periodontal diseases. The aim of this study was to evaluate salivary Del‐1, IL‐17, and LFA‐1 protein levels in patients with gingivitis (G), chronic periodontitis (CP), and generalized aggressive periodontitis (GAP).MethodsA total of 180 systemically healthy, non‐smoking patients (45 periodontally healthy (H) and 45 G, 50 CP, and 40 GAP) individuals (between March 2014 and February 2016) were included in this study according to Armitage's (1999) classification. Clinical periodontal parameters, including clinical attachment level, probing depth, plaque index, and gingival index, were recorded. Del‐1, IL‐17, and LFA‐1 protein expression levels were measured in unstimulated saliva samples collected from patients by using enzyme‐linked immunosorbent assays. Kruskal‐Wallis and Mann‐Whitney U tests were used for multiple comparisons and post hoc statistical analyses, respectively. ROC curve analysis was used to evaluate the sensitivity and specificity of Del‐1, IL‐17, and LFA‐1 in distinguishing periodontal disease from health and gingivitis.ResultsIt was found a high level of IL‐17 and a low level of Del‐1 in the CP and GAP, as compared to the G and H groups (P &lt; .001). Nevertheless, we found LFA‐1 levels were higher in the GAP than in the CP or G groups (P = .00). Consistently, LFA‐1 levels were lower in the H and G groups than in the CP and GAP groups (P = .00). The combination of three biomarkers was found as the best predictor yielded exhibited the highest AUC [0.893, 0.845‐0.94 (%95 CI) P &lt; .001] in discriminating periodontal disease from health and gingivitis.ConclusionSalivary Del‐1, LFA‐1, and IL‐17 levels might be useful markers for determining the clinical health and disease status of patients with periodontitis. However, further studies that evaluate the level of salivary Del‐1, LFA‐1, and IL‐17 before and after periodontal therapy are required to understand the exact roles of these cytokines during the periodontal healing period.</jats:sec

    Transcription factor 7-like 2 (TCF7L2) gene polymorphisms are strong predictors of type 2 diabetes among nonobese diabetics in the Turkish population

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    WOS: 000395632600003PubMed ID: 28263491Background/aim: Type 2 diabetes (T2D) is a multifactorial disease, determined by environmental and genetic factors. Currently, the transcription factor 7-like 2 (TCF7L2) gene shows the strongest association with T2D. In this study, we investigated whether TCF7L2 gene polymorphisms are associated with T2D in a Turkish population. Materials and methods: Using PCR-RFLP and PCR-SSCP, we genotyped six intronic polymorphisms in the TCF7L2 gene, commonly associated with T2D, in 169 individuals with diabetes and 119 healthy controls. Results: We found that rs7903146 C -> T substitution in intron 3 (OR: 1.9, P = 0.005) and rs12255372 G -> T substitution in intron 4 (OR: 2.1, P = 0.002) were significantly associated with T2D while other SNPs were not associated (P > 0.05). We determined no association between TCF7L2 gene polymorphisms and fasting glucose, fasting insulin, HbA1c, or HOMA-IR levels (P > 0.05), except for rs7903146 C -> T substitution, which was significantly associated with the fasting glucose level (P = 0.003). Conclusion: Our results indicate that, in the Turkish population, the T allele of the rs7903146 (C -> T) and rs12255372 (G -> T) polymorphisms in the TCF7L2 gene is an independent risk factor for the development of T2D.Selcuk University Research Foundation [09202048]We would like to thank Dr Hulya Ozdemir and Dr Suleyman Hilmi Ipekci for their assistance in this study. This study was supported by the Selcuk University Research Foundation (09202048)

    The Adiponectin variants contribute to the genetic background of type 2 diabetes in Turkish population

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    Adiponectin, an adipose tissue specific protein encoded by the Adiponectin gene, modulates insulin sensitivity and plays an important role in regulating energy homeostasis. Many studies have shown that single nucleotide polymorphisms (SNPs) in the Adiponectin gene are associated with low plasma Adiponectin levels, insulin resistance and an increased risk of type 2 diabetes mellitus. The aim of the present study was to evaluate the contribution of the Adiponectin gene polymorphisms in genetic background of type 2 diabetes in a Turkish population. In total, 169 unrelated and non-obese diabetic patients and 119 age- and BMI-matched nondiabetic individuals with no family history of diabetes were enrolled in this study. We detected a significant association between type 2 diabetes and two SNPs: SNP - 11391G>A. which is located in the promoter region of the Adiponectin gene, and SNP + 276G > T, which is found in intron 2 of the gene (P G) in exon 1 and SNP + 349A > G in intron 2 also showed a weak association with type 2 diabetes (P = 0.06 and P = 0.07, respectively), while SNPs - 3971A>G in intron 1 and Y111H, R112C and H241P in exon 3 showed no association (P > 0.05). In conclusion, these findings suggest that Adiponectin gene polymorphisms might be effective on susceptibility for type 2 diabetes development which emerged from the interactions between multiple genes, variants and environmental factors. (C) 2013 Elsevier B.V. All rights reserved

    Estimation of Indian and Turkish Hexaploid Wheat Population Structure to be a Part of Improved Breeding Program

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    Bread wheat (Triticum aestivum) is the most commonly grown crop due to its adaptation in a wide range of eco-geographical conditions and providing enhanced food assurance to the modern world. A diverse and rich collection is the foundation of each successful wheat improvement program. Therefore, major efforts are in progress worldwide to boost wheat production by broadening genetic diversity. Accepting this issue as a target, present study gives an overview of the major progress in the diversity and population evaluation of Indian and Turkish hexaploid wheat employing ISSR and RAPD primers. Various statistical analyses were employed for determining the hexaploid wheat population structure of India and Turkey. Results of dendrogram, scatterplots, Analysis of Molecular Variance (AMOVA) and population structure analysis were found in accordance with each other. All the experimental genotypes were clustered in two main groups, one group containing Indian varieties and another group containing both Indian and Turkish varieties reflecting the direct or indirect interbreeding among the populations of the two countries. Utilizing the genetic association of Indian and Turkish hexaploid wheat population, based on genetic distance estimated in the study, researchers worldwide may include Indian and Turkish hexaploid varieties in the wheat improvement programs and can evade the likelihood of selected germplasm becoming hereditarily consistent

    Genetic diversity and population structure of wheat in India and Turkey

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    Genetic diversity among plant species offers prospects for improving the plant characteristics. Its assessment is necessary to help tackle the threats of environmental fluctuations and for the effective exploitation of genetic resources in breeding programmes. Although wheat is one of the most thoroughly studied crops in terms of genetic polymorphism studies, phylogenetic affinities of Indian and Turkish Triticum species have not been assessed to date. In this study, genetic association of 95 tetraploid and hexaploid wheat genotypes originating from India and Turkey was determined for the first time. Combined analysis of random amplified polymorphic DNA and inter-simple sequence repeat markers disclosed 177 polymorphic bands, and both the dendrogram and two-dimensional scatterplot showed similar groupings of the wheat genotypes. Turkish hexaploid varieties were basically divided into two clusters, one group showed its close association with Indian hexaploid varieties and the other with Indian tetraploid varieties. Analysis of molecular variance revealed high (77 %) genetic variation within Indian and Turkish populations. Population structure analysis elucidated distinct clustering of wheat genotypes on the basis of both geographical origin and ploidy. The results revealed in this study will support worldwide wheat breeding programmes and assist in achieving the target of sustainable wheat production.Publisher's Versio

    Neuroprotective effects of sildenafil in experimental spinal cord injury in rabbits

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    Neuroprotective agents such as methylprednisolone and sildenafil may limit damage after spinal cord injury. We evaluated the effects of methylprednisolone and sildenafil on biochemical and histologic changes after spinal cord injury in a rabbit model. Female New Zealand rabbits (32 rabbits) were allocated to 4 equal groups: laminectomy only (sham control) or laminectomy and spinal trauma with no other treatment (trauma control) or treatment with either methylprednisolone or sildenafil. Gelsolin and caspase-3 levels in cerebrospinal fluid and plasma were determined, and spinal cord histology was evaluated at 24 hours after trauma. There were no differences in mean cerebrospinal fluid or plasma levels of caspase-3 between the groups or within the groups from 0 to 24 hours after injury. From 0 to 24 hours after trauma, mean cerebrospinal fluid gelsolin levels significantly increased in the sildenafil group and decreased in the sham control and the trauma control groups. Mean plasma gelsolin level was significantly higher at 8 and 24 hours after trauma in the sildenafil than other groups. Histologic examination indicated that general structural integrity was better in the methylprednisolone in comparison with the trauma control group. General structural integrity, leptomeninges, white and grey matter hematomas, and necrosis were significantly improved in the sildenafil compared with the trauma control group. Caspase-3 levels in the cerebrospinal fluid and blood were not increased but gelsolin levels were decreased after spinal cord injury in trauma control rabbits. Sildenafil caused an increase in gelsolin levels and may be more effective than methylprednisolone at decreasing secondary damage to the spinal cord.

    Effects of Single Nucleotide Polymorphisms in K-ATP Channel Genes on Type 2 Diabetes in a Turkish Population

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    Background and Aims. ATP-sensitive potassium (K-ATP) channels of pancreatic beta-cells play a key role in glucose-stimulated insulin secretion mechanism. The Kir6.2 protein, forming the K-ATP channel pore inwardly, and the SUR1 protein that surrounds it forming the outside part of the channel were encoded by ABCC8 and KCNJ11 genes, respectively. Recent studies reported that the single nucleotide polymorphisms (SNPs) established in these genes are associated with defects in insulin secretion and type 2 diabetes mellitus (T2DM). We aimed to investigate the allele profiles and the risk alleles of the ABCC8 and KCNJ11 genes and to highlight the associations with the disease in patients in Konya region of Turkey where T2DM is common
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