首页> 外文期刊>American journal of transplantation: official journal of the American Society of Transplantation and the American Society of Transplant Surgeons >Peripheral blood transcriptome analysis and development of classification model for diagnosing antibody-mediated rejection vs accommodation in ABO-incompatible kidney transplant
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Peripheral blood transcriptome analysis and development of classification model for diagnosing antibody-mediated rejection vs accommodation in ABO-incompatible kidney transplant

机译:外周血转录组分析和发展诊断抗体介导的肾移植术术术的抑制与住宿的分类模型

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摘要

The major obstacle to successful ABO blood group-incompatible kidney transplantation (ABOi KT) is antibody-mediated rejection (AMR). This study aimed to investigate transcriptional profiles through RNA sequencing and develop a minimally invasive diagnostic tool for discrimination between accommodation and early acute AMR in ABOi KT. Twenty-eight ABOi KT patients were selected: 18 with accommodation and 10 with acute AMR at the 10th day posttransplant protocol biopsy. Complete transcriptomes of their peripheral blood were analyzed by RNA sequencing. Candidate genes were selected by bioinformatics analysis, validated with quantitative polymerase chain reaction, and used to develop a classification model to diagnose accommodation. A total of 1385 genes were differentially expressed in accommodation compared with in AMR with P-adjusted COX7A2L, CD69, CD14, CFD, and FOXJ3 was developed by logistic regression analysis. The model was further validated with an independent cohort and discriminated between accommodation and AMR with 92.7% sensitivity, 85.7% specificity, and 91.7% accuracy. Our study suggests that a classification model based on peripheral blood transcriptomics may allow minimally invasive diagnosis of acute AMR vs accommodation and subsequent patient-tailored immunosuppression in ABOi KT.
机译:ABO血液组 - 不相容的肾移植(ABOI KT)的主要障碍是抗体介导的排斥(AMR)。该研究旨在通过RNA测序来研究转录谱,并开发最微创诊断工具,用于在ABOI KT中的住宿和早期急性AMR之间的歧视。选择了28名ABOI KT患者:18名与住宿和10个,10天在第10天的急性AMR后翻转方案活检。通过RNA测序分析其外周血的完整转录om。通过生物信息学分析选择候选基因,用定量聚合酶链反应验证,并用于开发诊断住宿的分类模型。与具有P调节的COX7A2L,CD69,CD14,CFD和FoxJ3的AMR相比,共提供1385个基因在差异中表达在容纳中,并通过Logistic回归分析开发了FoxJ3。该模型进一步验证了独立的队列,并在敏感度为92.7%,特异性85.7%,精度为91.7%之间区分。我们的研究表明,基于外周血转录组织的分类模型可能允许在ABOI KT中微创急性AMR VS住宿和随后的患者定制免疫抑制。

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