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

Yue Xu; Yuxuan Wang; Di Zhang; Hao Zhang; Yicun Wang; Wei Wang; Xiaopeng Hu

doi:10.1016/j.trim.2024.102021

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

Transpl Immunol. 2024 Mar 6:84:102021. doi: 10.1016/j.trim.2024.102021. Online ahead of print.

Authors

Yue Xu¹, Yuxuan Wang¹, Di Zhang¹, Hao Zhang¹, Yicun Wang¹, Wei Wang¹, Xiaopeng Hu²

Affiliations

¹ Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China; Institute of Urology, Capital Medical University, Beijing 100020, China.
² Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China; Institute of Urology, Capital Medical University, Beijing 100020, China. Electronic address: xiaopeng_hu@sina.com.

PMID: 38452984
DOI: 10.1016/j.trim.2024.102021

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.

Keywords: Antibody-mediated rejection; Autophagy; Molecular diagnosis; Renal transplantation.