Peripheral blood transcriptome analysis and development of classification model for diagnosing antibody-mediated rejection vs accommodation in ABO-incompatible kidney transplant
- Authors
- Jeon, Hee Jung; Lee, Jae-Ghi; Kim, Kwangsoo; Jang, Joon Young; Han, Sung Won; Choi, Jinwoo; Ryu, Jung-Hwa; Koo, Tai Yeon; Jeong, Jong Cheol; Lee, Jae Wook; Ishida, Hideki; Park, Jae Berm; Lee, Sang Ho; Ahn, Curie; Yang, Jaeseok
- Issue Date
- 1월-2020
- Publisher
- WILEY
- Keywords
- ABO incompatibility; accommodation; basic (laboratory) research; science; genetics; kidney transplantation; nephrology; kidney transplantation; living donor; molecular biology; mRNA; mRNA expression; rejection; antibody-mediated (ABMR); translational research; science
- Citation
- AMERICAN JOURNAL OF TRANSPLANTATION, v.20, no.1, pp.112 - 124
- Indexed
- SCIE
SCOPUS
- Journal Title
- AMERICAN JOURNAL OF TRANSPLANTATION
- Volume
- 20
- Number
- 1
- Start Page
- 112
- End Page
- 124
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/58417
- DOI
- 10.1111/ajt.15553
- ISSN
- 1600-6135
- Abstract
- 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.
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