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Which is the best predictor of de novo donor-specific antibodies in a cohort of non-sensitized first kidney transplantation: Antigenic, allelic, epitope, or physiochemical HLA mismatches?

机译:这是非敏化的第一肾移植队列中De Novo供体特异性抗体的最佳预测因子:抗原,等位基因,表位或物理化学HLA不匹配?

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Background Assessment of human leukocyte antigen (HLA) matching by using high-resolution allele typing and knowledge of HLA molecule structure may lead to better prediction of de novo donor-specific antibody (dnDSA) development. Methods We conducted a single-center cohort study among 150 non-sensitized first kidney transplant recipients to compare the association between antigenic (Ag), allelic (Al), eplet (Ep), amino acid (AAMS) HLA matching and electrostatic (EMS) and hydrophobic (HMS) mismatch scores, and the development of dnDSA. Results After a mean follow-up time of 49.3 +/- 17.7 months, 18 patients (12%) developed dnDSA. The number of HLA mismatches (MM) was significantly associated with the development of dnDSA. The optimal threshold, determined by Harrell's C-index, varied according to the method (5 MM for Ag, P = 0.006; 6 for Al, P = 0.009; 22 for Ep, P = 0.005; 42 for AAMS, P = 0.0007; 45 for EMS, P = 0.009 and 44 for HMS, P = 0.026). C-indices were similar for all matching approaches, suggesting a similar prediction of dnDSA development. Conclusion In this cohort of low immunological risk transplant patients, the use of Al or Ep matching did not improve the prediction of dnDSA development in comparison with the traditional approach.
机译:背景技术人白细胞抗原(HLA)匹配通过使用高分辨率等位基因键入和HLA分子结构的知识可能导致更好地预测De Novo供体特异性抗体(DNDSA)发育。方法我们在150个非敏化的第一肾移植受者之间进行单中心队列研究,以比较抗原(Ag),等位基因(Al),EPLET(EP),氨基酸(AAM)HLA匹配和静电(EMS)之间的关联和疏水性(HMS)不匹配分数,以及DNDSA的发展。结果平均随访时间为49.3 +/- 17.7个月,18名患者(12%)开发DNDSA。 HLA失配(mm)的数量与DNDSA的发育显着相关。由Harrell的C索引确定的最佳阈值根据方法(用于Ag 5mm,P = 0.006; 6,对于AL,P = 0.009; 22,适用于AAM的P = 0.005; 42,P = 0.0007; 45对于EMS,P = 0.009和44用于HMS,P = 0.026)。对于所有匹配方法,C-Indices类似,表明DNDSA开发的类似预测。结论在这种低免疫风险移植患者的队列中,使用Al或EP匹配的使用并未改善与传统方法相比的DNDSA开发的预测。

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