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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