Serum metabolomics approach to monitor the changes in metabolite profiles following renal transplantation

• Main Authors: Ivana Stanimirova, Mirosław Banasik, Adam Ząbek, Tomasz Dawiskiba, Katarzyna Kościelska-Kasprzak, Wojciech Wojtowicz, Magdalena Krajewska, Dariusz Janczak, Piotr Młynarz
• Format: Article
• Language: English
• Published: Nature Publishing Group 2020-10-01
• Series: Scientific Reports
• Online Access: https://doi.org/10.1038/s41598-020-74245-z

Abstract Systemic metabolic changes after renal transplantation reflect the key processes that are related to graft accommodation. In order to describe and better understand these changes, the 1HNMR based metabolomics approach was used. The changes of 47 metabolites in the serum samples of 19 individuals were interpreted over time with respect to their levels prior to transplantation. Considering the specific repeated measures design of the experiments, data analysis was mainly focused on the multiple analyses of variance (ANOVA) methods such as ANOVA simultaneous component analysis and ANOVA-target projection. We also propose here the combined use of ANOVA and classification and regression trees (ANOVA-CART) under the assumption that a small set of metabolites the binary splits on which may better describe the graft accommodation processes over time. This assumption is very important for developing a medical protocol for evaluating a patient’s health state. The results showed that besides creatinine, which is routinely used to monitor renal activity, the changes in levels of hippurate, mannitol and alanine may be associated with the changes in renal function during the post-transplantation recovery period. Specifically, the level of hippurate (or histidine) is more sensitive to any short-term changes in renal activity than creatinine.