Experimental Characterization Combined with Computational Network Analysis of Metabolites Associated with Chrysanthemum morifolium–derived exosome-like Nanoparticles in Predicting Potential AKI-relevant Targets

Key Points

• Acute kidney injury-relevant targets are predicted using metabolites in exosome-like nanoparticles.
• Key findings include significant associations between specific metabolites and AKI indicators.
• Analysis uses computational network techniques to assess the role of metabolites systematically.
• These insights highlight the potential for new biomarkers to track acute kidney injury risks.