16 research outputs found

    Genome-wide analysis of DNA methylation patterns in horse

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    Background: DNA methylation is an epigenetic regulatory mechanism that plays an essential role in mediating biological processes and determining phenotypic plasticity in organisms. Although the horse reference genome and whole transcriptome data are publically available the global DNA methylation data are yet to be known. Results: We report the first genome-wide DNA methylation characteristics data from skeletal muscle, heart, lung, and cerebrum tissues of thoroughbred (TH) and Jeju (JH) horses, an indigenous Korea breed, respectively by methyl-DNA immunoprecipitation sequencing. The analysis of the DNA methylation patterns indicated that the average methylation density was the lowest in the promoter region, while the density in the coding DNA sequence region was the highest. Among repeat elements, a relatively high density of methylation was observed in long interspersed nuclear elements compared to short interspersed nuclear elements or long terminal repeat elements. We also successfully identified differential methylated regions through a comparative analysis of corresponding tissues from TH and JH, indicating that the gene body regions showed a high methylation density. Conclusions: We provide report the first DNA methylation landscape and differentially methylated genomic regions (DMRs) of thoroughbred and Jeju horses, providing comprehensive DMRs maps of the DNA methylome. These data are invaluable resource to better understanding of epigenetics in the horse providing information for the further biological function analyses.open1

    Genome-Wide Analysis of DNA Methylation before- and after Exercise in the Thoroughbred Horse with MeDIP-Seq

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    Athletic performance is an important criteria used for the selection of superior horses. However, little is known about exercise-related epigenetic processes in the horse. DNA methylation is a key mechanism for regulating gene expression in response to environmental changes. We carried out comparative genomic analysis of genome-wide DNA methylation profiles in the blood samples of two different thoroughbred horses before and after exercise by methylated-DNA immunoprecipitation sequencing (MeDIP-Seq). Differentially methylated regions (DMRs) in the pre- and post-exercise blood samples of superior and inferior horses were identified. Exercise altered the methylation patterns. After 30 min of exercise, 596 genes were hypomethylated and 715 genes were hypermethylated in the superior horse, whereas in the inferior horse, 868 genes were hypomethylated and 794 genes were hypermethylated. These genes were analyzed based on gene ontology (GO) annotations and the exercise-related pathway patterns in the two horses were compared. After exercise, gene regions related to cell division and adhesion were hypermethylated in the superior horse, whereas regions related to cell signaling and transport were hypermethylated in the inferior horse. Analysis of the distribution of methylated CpG islands confirmed the hypomethylation in the gene-body methylation regions after exercise. The methylation patterns of transposable elements also changed after exercise. Long interspersed nuclear elements (LINEs) showed abundance of DMRs. Collectively, our results serve as a basis to study exercise-based reprogramming of epigenetic traitsclose

    Diameter of Parathyroid Glands Measured by Computed Tomography as a Predictive Indicator for Response to Cinacalcet in Dialysis Patients with Secondary Hyperparathyroidism

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    Background/Aims: Cinacalcet is one of the important treatments of secondary hyperparathyroidism (SHPT). We evaluated the role of computed tomography (CT) for parathyroid glands (PTGs) to determine the response to cinacalcet therapy in dialysis patients. Methods: In study 1, we compared the predictive cutoff values of the largest volume or diameter of PTGs on ultrasonography or CT for achievement of target intact parathyroid hormone (iPTH) level according to K/DOQI guideline after cinacalcet treatment in a single dialysis center. In study 2, the role of the cutoff diameter of PTGs on CT in predicting responsive to cinacalcet therapy was reevaluated in dialysis patients with SHPT in multiple centers. Results: In study 1, among the total population of 26 patients, the number of patients with baseline iPTH over 600 pg/mL was 16 (61%). In study 2, it was 45 (54%), among 82 patients. In study 1, the number of PTGs equal to or larger than the cutoff value (≥ 11.2 mm) on CT, not ultrasonography, was significantly higher in non-responders than in responders (p=0.038). In study 2, the proportion of patients with PTGs ≥ 11.2 mm on CT was significantly higher in non-responders than responders (p=0.003). Multivariate analysis showed that pretreatment iPTH (odds ratio [OR] 1.498, p=0.003) and the existence of enlarged PTGs on CT (OR 8.940, p=0.015) were significant clinical factors affecting the response to cinacalcet. Conclusions: The diameter of PTGs on CT could predict the response to cinacalcet in dialysis patients with SHPT

    Optimal hemoglobin level for anemia treatment in a cohort of hemodialysis patients

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    Background: Anemia is a major risk factor that contributes to mortality in patients with chronic kidney disease. There is controversy over the optimal hemoglobin (Hb) target in these patients. This study investigated the association between Hb level and mortality in a cohort of hemodialysis (HD) patients in Korea. Methods: This study was a multicenter prospective observational study of maintenance HD patients that was performed for 5 years in western Seoul, Korea. Three hundred and sixty-two participants were enrolled. Laboratory values and mortality were accessed every 6 months. Repeated measures of laboratory values in each interval were averaged to obtain one semiannual mean value. The Hb values were divided into six groups: (1) Hb<9 g/dL; (2) 9 g/dL≤Hb<10 g/dL; (3) 10 g/dL≤Hb<11 g/dL; (4) 11 g/dL≤Hb<12 g/dL; (5) 12 g/dL≤Hb<13 g/dL; and (6) Hb≥13 g/dL. We analyzed the odds ratio for all-cause mortality, based on the Hb group, and adjusted for demographics and various laboratory values. Statistics were performed with SAS, version 9.1 software (SAS Institute Inc., Cary, NC, USA). Results: Mortality odds ratios relative to the reference group (10–11 g/dL) in the fully adjusted model were 3.61 for<9 g/dL; 3.17 for 9–10 g/dL⁎; 4.65 for 11–12 g/dL⁎; 5.50 for 12–13 g/dL⁎; and 2.05 for≥13 g/dL (⁎ indicates P<0.05). Conclusion: In this study, a Hb level of 10–11 g/dL was associated with the lowest mortality among the groups with Hb level<13 g/dL. Larger interventional trials are warranted to determine the optimal Hb target for Korean HD patients
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