An autophagy-associated diagnostic signature based on peripheral blood for antibody-mediated rejection in renal transplantation

IF 1.6 4区 医学 Q4 IMMUNOLOGY
Yue Xu , Yuxuan Wang , Di Zhang , Hao Zhang , Yicun Wang , Wei Wang , Xiaopeng Hu
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Abstract

Background

Antibody-mediated rejection (ABMR) emerged as a major cause of graft loss in renal transplantation. Needle biopsy is the gold standard for diagnosis of ABMR in renal allografts. Thus, noninvasive diagnosis methods of ABMR with high accuracy are urgently needed to prevent unnecessary biopsies.

Methods

We collected peripheral blood transcriptome data from two independent renal transplantation cohorts with patients with ABMR, stable well-functioning transplants (STA), and T-cell mediated rejection (TCMR). Differentially expressed genes (DEGs) were identified by comparing the ABMR group with the STA group. In addition, functional enrichment analysis and gene set enrichment analysis were performed to seek new key underlying mechanisms in ABMR. Subsequently, we utilized a Boruta algorithm and least absolute shrinkage and selection operator logistic algorithm to establish a diagnostic model which was then evaluated and validated in an independent cohort.

Results

According to functional enrichment analysis, autophagy was found to be the primary upregulated biological process in ABMR. Based on algorithms, three autophagy-associated genes, ubiquitin specific peptidase 33 (USP33), Ras homolog mTORC1 binding (RHEB), and ABL proto-oncogene 2 (ABL2), were selected to establish the diagnostic model in the training cohort. This autophagy-related gene model possessed good diagnostic value in distinguishing ABMR from STA blood samples in the training cohort (AUC = 0.907) and in the validation cohort (AUC = 0.972). In addition, this model also showed good discernibility in distinguishing ABMR from TCMR in the training and validation cohorts (AUCs = 0.908 and 0.833).

Conclusion

We identified and validated an autophagy-associated diagnostic model with high accuracy for renal transplant patients with ABMR. Our study provided a new potential test for the non-invasive diagnosis of ABMR in clinical practice and highlighted the importance of autophagy in ABMR.

基于外周血的肾移植抗体介导排斥的自噬相关诊断特征。
背景:抗体介导的排斥反应(ABMR)已成为肾移植中移植物损失的主要原因。针刺活检是诊断肾脏异体移植中 ABMR 的金标准。因此,亟需准确性高的无创诊断 ABMR 的方法,以避免不必要的活检:方法:我们从两个独立的肾移植队列中收集了外周血转录组数据,其中包括 ABMR、功能稳定良好的移植(STA)和 T 细胞介导的排斥反应(TCMR)患者。通过比较 ABMR 组和 STA 组,确定了差异表达基因(DEGs)。此外,我们还进行了功能富集分析和基因组富集分析,以寻找 ABMR 的新关键潜在机制。随后,我们利用 Boruta 算法和最小绝对缩小及选择操作者逻辑算法建立了诊断模型,并在独立队列中进行了评估和验证:结果:根据功能富集分析,发现自噬是ABMR中主要的上调生物过程。根据算法,选择了三个自噬相关基因,即泛素特异性肽酶 33 (USP33)、Ras 同源物 mTORC1 结合 (RHEB) 和 ABL 原癌基因 2 (ABL2),在训练队列中建立诊断模型。在训练队列(AUC = 0.907)和验证队列(AUC = 0.972)中,该自噬相关基因模型在区分 ABMR 和 STA 血液样本方面具有良好的诊断价值。此外,该模型在区分训练队列和验证队列中的ABMR和TCMR时也显示出良好的辨别能力(AUC = 0.908和0.833):我们发现并验证了一种自噬相关诊断模型,该模型对肾移植患者ABMR的诊断具有很高的准确性。我们的研究为临床实践中无创性诊断 ABMR 提供了一种新的潜在检测方法,并强调了自噬在 ABMR 中的重要性。
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来源期刊
Transplant immunology
Transplant immunology 医学-免疫学
CiteScore
2.10
自引率
13.30%
发文量
198
审稿时长
48 days
期刊介绍: Transplant Immunology will publish up-to-date information on all aspects of the broad field it encompasses. The journal will be directed at (basic) scientists, tissue typers, transplant physicians and surgeons, and research and data on all immunological aspects of organ-, tissue- and (haematopoietic) stem cell transplantation are of potential interest to the readers of Transplant Immunology. Original papers, Review articles and Hypotheses will be considered for publication and submitted manuscripts will be rapidly peer-reviewed and published. They will be judged on the basis of scientific merit, originality, timeliness and quality.
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