Summary
Amomum is a diverse genus whose metabolites are dominated by volatile compounds; however, differences in metabolism levels between fresh and dried fruits remain unclear. Our results indicated that metabolite differences between fresh and dried fruits were expressed in relative content rather than in species. Using a traditional machine learning model analysis, we observed that the characteristic metabolites distinguishing fresh and dried fruits differed across the two states. A total of 63 differential metabolites were identified and subsequently evaluated for their anti‐inflammatory activity. Through public database screening and threshold analysis, 27 core anti‐inflammatory targets were identified. These targets were involved in the inflammatory therapeutic mechanism of Amomum by coordin
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