Effect of apolipoprotein polymorphisms in renal transplant recipients.
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):1725-6.Effect of apolipoprotein polymorphisms in renal transplant recipients.1, , , , , , , .1Renal Transplant Unit, Hospital Clinic, University of Barcelona, Barcelona, Spain.AbstractCardiovascular disease (CVD) is the main cause of mortality among long-term renal transplant recipients (RTR). On the other hand, allograft chronic nephropathy is the primary cause of graft loss among long-term RTR. Hyperlipidemia is a predisposing factor for both conditions. Polymorphisms of the apolipoproteins modulate lipid metabolism. The aim of the study was to evaluate the effect of apo A-I, apo A-IV and apo C-III genotypes on the long-term results of renal transplantation. Clinical assessment (renal allograft and patient survival) and genotyping for apo A-I (+83C/T), apo C-III (Sst I), and apo A-IV (Thr347Ser and Gln360His) polymorphisms were evaluated in 516 kidney transplant patients and correlated with the clinical evolution over 12 months. The distribution of the apo A-I (+83C/T) polymorphisms was: CC 91.9%, CT 7.9%, and TT 0.2%. The apo C-III genotype showed: S1S1 84.4%, S1S2 15.2%, and S2S2 0.4%. The apo A-IV (Pvu II) polymorphism was: GG 82%, GT 18%, and 0% TT. Finally, the frequency of apo A-IV (Hinf I) polymorphism was: AA 69%, AT 27%, and TT 4%. The frequency of polymorphisms was similar between men and women. In conclusion, there was no significant influence of apolipoprotein polymorphisms on renal and patient survival.PMID:
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Birdane FM
Nizamlioglu M
[01 Apr ):128-131]
Evaluation Studies, Journal Article
The importance of blood and colostrum/milk serum gamma-glutamyl transferase (gamma-GT) enzyme activity was evaluated to assess passive transfer status in healthy lambs. Thirty Akkaraman sheep (3-6 years old) were used which had normal pregnancy period and the same conditions, and the age of the lambs ranged between 0 and 15 days. Blood and colostrum/milk samples were collected from sheep and lambs after birth, before suckling (0) and after on 1st, 3rd, 7th and 15th days. Serum immunoglobulin G (IgG) concentration was determined by the use of Single Radial Immunodiffusion method. Serum gamma-GT activity was measured, using a commercially available kit in blood and colostrum/milk samples. Correlations were carried out between immunoglobulin and gamma-GT levels. Regression models (simple and multiple) were calculated with significant data. Linear correlation was determined between colostrum/milk gamma-GT activity and IgG concentrations and between serum gamma-GT activity and IgG concentrations in lambs on the 0 day. (r: 0.607, P: 0.001), 1st (r: 0.768, P: 0.001) and the 3rd (r: 0.603, P: 0.001) days and on the 1st (r: 0.637, P: 0.001) and 3rd (r: 0.478, P: 0.012) days in the experiment, respectively. Multivariate regression models were developed to estimate sample IgG concentration. Serum and colostrum/milk IgG concentration could be predicted using the formula: lamb serum IgG = 825 + 0.688 (lamb gamma-GT) + 52 (days); colostrum/milk IgG = 832 + 0.505 (colostrum/milk gamma-GT) - 167 (days). The regression models were moderately accurate in predicting serum IgG concentration (R2 = 0.51) and colostrum/milk IgG concentration (R2 = 0.55). Test sensitivity and positive predictive values for serum gamma-GT enzyme activity were found to be 96 and 100% and for colostrum/milk gamma-GT enzyme activity were found to be 100 and 68% to prediction IgG concentration. Serum and colostrum/milk gamma-GT activity can be used to assess passive transfer status of lambs. Along with this, regression models used to calculate serum and colostrum/milk gamma-GT activities found to be useful to estimate sample IgG concentration. The use of serum and colostrum/milk gamma-GT enzyme activity was found useful especially after birth on the 0, 1st and 3rd days.
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