Characterization of clinical and genetic risk factors associated with dyslipidemia after kidney transplantation.

Characterization of clinical and genetic risk factors associated with dyslipidemia after kidney transplantation.
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DOI:
10.1155/2015/179434
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发表时间:
2015
期刊:
影响因子:
--
通讯作者:
Satoh S
Satoh S
中科院分区:
医学4区
文献类型:
--
作者:
Numakura K;Kagaya H;Yamamoto R;Komine N;Saito M;Hiroshi T;Akihama S;Inoue T;Narita S;Tsuchiya N;Habuchi T;Niioka T;Miura M;Satoh S

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我们确定了日本肾移植受者队列中血脂异常的患病率,并调查了与该疾病相关的临床和遗传特征。共研究了126例在2002年2月至2011年8月期间接受同种异体肾移植的患者,其中44例受者(34.9%)在移植后1年被诊断为血脂异常。三个临床因素与血脂异常的风险相关:女性患者中观察到的疾病患病率高于男性患者(P = 0.021),以及移植后28天每体重接受高剂量的吗替麦考酚酯(P = 0.012)和泼尼松龙(P = 0.023)治疗。分析了血脂异常与38个假定的疾病相关基因中60个先前描述的遗传多态性之间的遗传关联。糖皮质激素受体(NR 3C 1)Bcl 1 G等位基因患者的血脂异常频率显著高于CC基因型患者(P = 0.001)。多变量分析显示,NR 3C 1 Bcl 1 G等位基因是血脂异常患病率的显著危险因素(比值比= 4.6; 95%置信区间= 1.8-12.2)。这些发现可能有助于预测患者发生血脂异常的风险。
We determined the prevalence of dyslipidemia in a Japanese cohort of renal allograft recipients and investigated clinical and genetic characteristics associated with having the disease. In total, 126 patients that received renal allograft transplants between February 2002 and August 2011 were studied, of which 44 recipients (34.9%) were diagnosed with dyslipidemia at 1 year after transplantation. Three clinical factors were associated with a risk of having dyslipidemia: a higher prevalence of disease observed among female than male patients (P = 0.021) and treatment with high mycophenolate mofetil (P = 0.012) and prednisolone (P = 0.023) doses per body weight at 28 days after transplantation. The genetic association between dyslipidemia and 60 previously described genetic polymorphisms in 38 putative disease-associated genes was analyzed. The frequency of dyslipidemia was significantly higher in patients with the glucocorticoid receptor (NR3C1) Bcl1 G allele than in those with the CC genotype (P = 0.001). A multivariate analysis revealed that the NR3C1 Bcl1 G allele was a significant risk factor for the prevalence of dyslipidemia (odds ratio = 4.6; 95% confidence interval = 1.8–12.2). These findings may aid in predicting a patient's risk of developing dyslipidemia.
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