한빛사논문
- 조회162
Sanghwa Lee a,1, Jin-Myung Kim b,1, Kwanhee Lee c, Haeyon Cho d, Sung Shin b, Jun Ki Kim a,c
aDepartment of Convergence Medicine, Asan Institute for Life Science, Asan Medical Center, Seoul, 05505, South Korea
bDivision of Kidney and Pancreas Transplantation, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, South Korea
cDepartment of Biomedical Engineering, Brain Korea 21 Project, University of Ulsan, College of Medicine, Seoul, 05505, South Korea
dDepartment of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, South Korea
1Sanghwa Lee and Jin-Myung Kim contributed equally to this study as first authors.
Corresponding authors: Sung Shin, Jun Ki Kim
Abstract
The quest to reduce kidney transplant rejection has emphasized the urgent requirement for the development of non-invasive, precise diagnostic technologies. These technologies aim to detect antibody-mediated rejection (ABMR) and T-cell-mediated rejection (TCMR), which are asymptomatic and pose a risk of potential kidney damage. The protocols for managing rejection caused by ABMR and TCMR differ, and diagnosis has traditionally relied on invasive biopsy procedures. Therefore, a convergence system using a nano-sensing chip, Raman spectroscopy, and AI technology was introduced to facilitate diagnosis using serum samples obtained from patients with no major abnormality, ABMR, and TCMR after kidney transplantation. Tissue biopsy and Banff score analysis were performed across the groups for validation, and 5 μL of serum obtained at the same time was added onto the Au–ZnO nanorod-based Surface-Enhanced Raman Scattering sensing chip to obtain Raman spectroscopy signals. The accuracy of machine learning algorithms for principal component-linear discriminant analysis and principal component-partial least squares discriminant analysis was 93.53% and 98.82%, respectively. The collagen (an indicative of kidney injury), creatinine, and amino acid-derived signals (markers of kidney function) contributed to this accuracy; however, the high accuracy was primarily due to the ability of the system to analyze a broad spectrum of various biomarkers.
논문정보
- Research article
- 2024년 06월 (BRIC 등록일 2024-06-26)
- 국내 연구진
- 바이오·의료융합 > 바이오센싱 및 나노바이오물질
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