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Abstract #1815

Combining IDEAL-IQ sequence and MALDI mass spectrometry imaging technology for the precise diagnosis of acute kidney injury.

Zhao Huayv1, Zhao Huifang1, Jinxia Guo2, and Zhang Ruiping1
1Shanxi Provincial People's Hospital, Taiyuan, China, 2GE Healthcare, Beijing, China

Synopsis

Keywords: Biomarkers, Kidney, IDEAL-IQ, MALDI-MSI, AKI

Motivation: In clinical practice, acute kidney injury (AKI) patients have high mortality rates, poor prognosis, and the metabolic mechanisms involved remain unclear.

Goal(s): The study aims to investigate the metabolic changes associated with AKI and to identify potential metabolic biomarkers.

Approach: 18 male Sprague-Dawley rats were divided into three groups. IDEAL-IQ sequences were used to collect fat fraction (FF) data from the kidneys. MALDI-MSI was employed to acquire in situ kidney metabolic molecular information.

Results: The AKI group showed a significant increase in FF values in the inner stripe of outer medulla. TG (50:6) may be a potential metabolic marker for AKI.

Impact: It is of great significance for the clinical prevention, precise diagnosis, and effective treatment of acute kidney injury.

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