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首页> 外文期刊>Clinical and Experimental Immunology: An Official Journal of the British Society for Immunology >Mycophenolate mofetil in patients with anti-neutrophil cytoplasmic antibody-associated vasculitis: A prospective pharmacokinetics and clinical study
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Mycophenolate mofetil in patients with anti-neutrophil cytoplasmic antibody-associated vasculitis: A prospective pharmacokinetics and clinical study

机译:抗中性粒细胞胞浆抗体相关性脉管炎患者中的霉酚酸酯的前瞻性药代动力学和临床研究

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Summary: Anti-neutrophil cytoplasmic antibody-associated vasculitis (AAV) treatment strategy is based on immunosuppressive agents. Little information is available concerning mycophenolic acid (MPA) and the area under the curve (AUC) in patients treated for AAV. We evaluated the variations in pharmacokinetics for MPA in patients with AAV and the relationship between MPA-AUC and markers of the disease. MPA blood concentrations were measured through the enzyme-multiplied immunotechnique (C0, C30, C1, C2, C3, C4, C6 and C9) to determine the AUC. Eighteen patients were included in the study. The median (range) MPA AUC0-12 was 50·55 (30·9-105·4) mg/h/l. The highest coefficient of determination between MPA AUC and single concentrations was observed with C3 (P0·0001) and C2 (P0·0001) and with C4 (P0·0005) or C0 (P0·001). Using linear regression, the best estimation of MPA AUC was provided by a model including C30, C2 and C4: AUC=8·5+0·77 C30+4·0 C2+1·7 C4 (P0·0001). Moreover, there was a significant relationship between MPA AUC0-12 and lymphocyte count (P0·01), especially CD19 (P0·005), CD8 (P0·05) and CD56 (P0·05). Our results confirm the interindividual variability of MPA AUC in patients treated with MMF in AAV and support a personalized therapy according to blood levels of MPA.
机译:摘要:抗中性粒细胞胞浆抗体相关血管炎(AAV)的治疗策略是基于免疫抑制剂。关于霉酚酸(MPA)和AAV治疗患者的曲线下面积(AUC)的信息很少。我们评估了AAV患者MPA的药代动力学变化以及MPA-AUC与疾病标志物之间的关系。通过酶联免疫技术(C0,C30,C1,C2,C3,C4,C6和C9)测量MPA血液浓度,以确定AUC。该研究包括18名患者。 MPA AUC0-12的中位数(范围)为50·55(30·9-105·4)mg / h / l。 C3(P <0·0001)和C2(P <0·0001)以及C4(P <0·0005)或C0(P <0·001)观察到MPA AUC和单一浓度之间的最高测定系数。 。使用线性回归,可通过包括C30,C2和C4的模型提供MPA AUC的最佳估计:AUC = 8·5 + 0·77 C30 + 4·0 C2 + 1·7 C4(P <0·0001)。此外,MPA AUC0-12与淋巴细胞计数之间存在显着相关性(P <0·01),尤其是CD19(P <0·005),CD8(P <0·05)和CD56(P <0·05) 。我们的结果证实了在AAV中接受MMF治疗的患者中MPA AUC的个体差异,并支持根据MPA血液水平进行个性化治疗。

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