Development of metabolomic biomarkers for early detection of acute kidney injury in kidney transplantation.

2014 Fiscal Year Final Research Report

• Project/Area Number: 24591219
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Kidney internal medicine
• Research Institution: Fujita Health University
• Principal Investigator: YUZAWA Yukio 藤田保健衛生大学, 医学部, 教授 (00191479)
• Co-Investigator(Kenkyū-buntansha): AKIYAMA Shin'ichi 名古屋大学, 医学(系)研究科(研究院), 講師 (20500010) ; HAYASHI Hiroki 藤田保健衛生大学, 医学部, 助教 (10378086) ; HASEGAWA Midori 藤田保健衛生大学, 医学部, 教授 (40298518) ; KUSAKA Mamoru 藤田保健衛生大学, 医学部, 教授 (40309141) ; MARUYAMA Shoichi 名古屋大学, 医学(系)研究科(研究院), 准教授 (10362253) ; SATO Waichi 藤田保健衛生大学, 医学部, 准教授 (90508920) ; SOGA Tomoyoshi 慶応義塾大学, 環境情報学部, 教授 (60228217)
• Project Period (FY): 2012-04-01 – 2015-03-31
• Keywords: AKIバイオマーカー / メタボローム解析 / 腎移植 / AKI: acute kidney injury / 急性腎傷害

Outline of Final Research Achievements

We have established the level of urinary midkine as an early biomarker of acute kidney injury (AKI). Furthermore, recent advances on metabolomics allowed us to identify metabolomic biomarkers for prediction of AKI. This study aimed to develop metabolomics biomarkers for early detection of AKI after renal transplantation by elucidating the detailed molecular mechanism of AKI at the metabolite level. A simultaneous metabolomics analysis with capillary electrophoresis-time of flight-mass spectrometry was conducted on urine samples from subjects who had undergone the surgery with renal ischemia reperfusion at the time of renal transplantation. Our metabolomic profiling identified novel biomarker candidates for early prediction of ischemic AKI in kidney transplantation.

Free Research Field

腎臓内科