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Mouna Bouksila, Mehdi Mrad, Wajih Kaabachi, Eya Kalai, Wided Smaoui, Sonia Rekik, Asma Krir, Nesrine Issaoui, Kamel Hamzaoui, Hela Sahli, Elhem Cheour El Kateb, Mohammed Karim Zouaghi and Afef Bahlous
markers can probably provide a better control of BMD to hemodialysis patients. In addition, the use of DEXA is recommended by multiple guidelines, thanks to its efficiency in discriminating bone loss in ESRD patients ( 8 ).
The aim of this study was to evaluate the correlation of bone turnover markers with DEXA measurements in Tunisian ESRD patients.
Materials and Methods
This study included 100 hemodialysis patients. A male predominance was found (64%) with a sex-ratio of 1.77. The mean age was 57.5 ± 15.00 years old; with extremes going from 23 to
Marina Vučeljić, Nataša Lalić, Zoran Mijušković and Janko Pejović
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Varsha Shukla, Siddharth Kumar Das, Abbas Ali Mahdi, Shweta Agarwal and Sukhanshi Khandpur
Statistical Package for Social Sciences (SPSS) software, version 20.0 for Windows, was used for all statistical analyses. Data were not normally distributed as tested by using the Shapiro-Wilk test at 5% level of significance; therefore, non-parametric tests were used. To test statistical differences between patients and controls, Mann-Whitney U test was used and Spearman correlation coefficient (rs) to establish a correlation between antioxidants, oxidative stress marker (LPO) and nitric oxide, was used. Karl Pearson’s correlation coefficient(r) was performed to find the
Acoustic velocity (AV) data from 7,423 coastal Douglas-fir trees drawn from 347 wind-pollinated families on 14 sites, from four first-generation testing programs in the north Oregon Cascades, were analyzed. Families were measured on two or four sites at ages 23 to 41 years from seed using the Fakopp TreeSonic standingtree tool. Height (HT) and DBH data collected at ages 15 and 16 from seed, from all trees in the four programs (95,795 trees, 955 families), were used to calculate volume index (VOL = HT*DBH2) and stem taper (TAP = DBH/HT). All traits were analyzed using multivariate mixed model analyses.
Across-site individual narrow-sense heritabilities for AV2 ranged from 0.24 to 0.40 among first-generation programs, compared to 0.12 to 0.23 for HT, 0.10 to 0.16 for DBH, 0.11 to 0.20 for VOL and 0.14 to 0.17 for TAP.
Across-site type B correlations for AV2 ranged from 0.85 to 0.95, compared to 0.62 to 0.83 for HT, 0.60 to 0.74 for DBH, 0.67 to 0.78 for VOL and 0.66 to 0.79 for TAP. AV2 was negatively correlated with HT in three programs (rA = 0.17 to −0.28), and negatively correlated with DBH (−0.12 to −0.46), VOL (−0.05 to −0.44) and TAP (−0.09 to −0.40) in all four programs.
Selecting the top 10% of the families sampled based on AV2 gave predicted gains of 4.4% to 9.6% for AV2 and −9.3% to 10.6% for VOL. The adverse genetic correlations between AV2 and growth, and the losses in gain in AV2 from selection based on growth, may be overestimated by suppression of slower-growing families in these older tests.
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BURDON, R. (1977): Genetic correlation as a concept to studying genotype-environment interaction in forest tree breeding. Silvae Genet. 26: 168-175.
CODESIDO, V., R. Zas and J. FERNÁNDEZ-LÓPEZ (2012): Juvenile