Diagnosis of Acute Renal Rejection Using Saliva Metabolome Analysis
1Kidney Transplantation Surgery, Tokyo Medical University, Hachioji, Tokyo, Japan
2Health Promotion and Preemptive Medicine, Research and Development Center for Minimally Invasive and Preemptive Medicine, Tokyo Medical University, Hachioji, Japan
3Department of Digestive Surgery and Transplantation Surgery, Tokyo Medical University, Hachioji, Tokyo, Japan.
Meeting: 2018 American Transplant Congress
Abstract number: D198
Keywords: Kidney transplantation, Rejection
Session Information
Session Name: Poster Session D: Kidney: Acute Cellular Rejection
Session Type: Poster Session
Date: Tuesday, June 5, 2018
Session Time: 6:00pm-7:00pm
Presentation Time: 6:00pm-7:00pm
Location: Hall 4EF
(Objective) Wide variety of biomarker discoveries have been conducted to realize low-invasive detection of rejection after renal transplantation. Metabolomics, an omics technology to enable simultaneous identification and detection of hundreds of metabolites, have been employed to find these biomarker discoveries using urine and blood biofluid samples. However, no these biomarkers have not been used in clinical practice, presumably due to small size tests. Here, we utilized metabolomics technologies to analyze saliva samples, which is completely non-invasively available.
(Methods) The metabolites in biofluid samples collected from three groups, including (1) renal transplant patient with creatinine elevation (n=32), (2) those without creatinine elevation (n=19), and (3) healthy donor (n=9), were compared. We conducted non-targeted metabolomic analyses of 60 salivary samples using capillary electrophoresis-mass spectrometry. The results were compared with biopsy findings, which provide a definitive diagnosis.
(Results) Two parameters showed significant difference between groups (2) and (3), including serum creatinine 1.08 ± 0.35 (S.D.) mg/dl and2.1±0.7mg/dl, respectively, and e-GFR 57.2±12.2 mL/min/1.73m2 and 28.8±8.87mL/min/1.73m2, respectively. Pathological diagnosis of group (3) included T cell-mediated acute rejection (n=10), antibody mediated rejection (n=8), calcineurin inhibitor nephropathy (n=3), and other causes of graft function (n=8) Various metabolites showed clear difference among these three groups. For, example, seven metabolites, 2-hydroxyglutarate, adipate, ethanolamine phosphate, fumalate, glycolate, proline, sedoheptulose 7-phosphate showed significant difference (P < 0.001) between the groups (1) and (3)
(Conclusion) Here, we showed unique technique to find non-invasive biomarkers using metabolomics with saliva samples. Although more rigorous validations using larger cohorts are necessary, the explored nonIinvasive markers would lead clinical application in the future.
CITATION INFORMATION: Iwamoto H., Sugimoto M., Konnno O., Kihara Y., Yokoyama T., Nakamura Y., Sunamura M., Ueno T. Diagnosis of Acute Renal Rejection Using Saliva Metabolome Analysis Am J Transplant. 2017;17 (suppl 3).
To cite this abstract in AMA style:
Iwamoto H, Sugimoto M, Konnno O, Kihara Y, Yokoyama T, Nakamura Y, Sunamura M, Ueno T. Diagnosis of Acute Renal Rejection Using Saliva Metabolome Analysis [abstract]. https://atcmeetingabstracts.com/abstract/diagnosis-of-acute-renal-rejection-using-saliva-metabolome-analysis/. Accessed May 16, 2025.« Back to 2018 American Transplant Congress