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通过轨道阱Exploris质谱仪对雌雄家蚕蛹中的生物活性化合物进行非靶向筛选和差异分析。

Untargeted screening and differential analysis of bioactive compounds in male and female silkworm (Bombyx mori) pupae through Orbitrap Exploris mass spectrometry.

作者信息

Hu Lingping, Zhang Hongwei, Zhang Xiaomei, Cheung Wai Wilson, Hu Yaqin, Hong Aimei, Guo Jing, Xu Ying, He Ji, Lu Jun, Deng Haiteng, Zhu Yin, Cai Qiang

机构信息

Yangtze Delta Region Institute of Tsinghua University, Zhejiang 314006, China; School of Life Sciences, Tsinghua University, Beijing 100084, China.

Food and Agricultural Products Testing Agency, Technology Center of Qingdao Customs District, Qingdao, Shandong Province 266002, China.

出版信息

Food Chem. 2025 Mar 30;469:142584. doi: 10.1016/j.foodchem.2024.142584. Epub 2024 Dec 19.

Abstract

Silkworm pupae are highly valuable as edible insects due to their nutritional and bioactive properties. Investigating the bioactive compounds within silkworm pupae can provide useful information for advanced processing and utilization of this resource. In this study, untargeted metabolomics analysis was employed to characterize the bioactive compounds present in silkworm pupae (Bombyx mori). A total of 93 bioactive compounds were putatively annotated, including 23 amino acids and their derivatives or metabolites, 21 lipids and their analogues, 17 phenolics, and others. Bioactive compounds in male and female silkworm pupae were analyzed using chemometrics. In the process, 34 bioactive compounds were screened as differential bioactive compounds. Bioinformatics analysis was then conducted on the differential bioactive compounds to gain a deeper understanding of these disparities. Based on the Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathways, 34 metabolic pathways related to these differential metabolites were putatively annotated.

摘要

由于其营养和生物活性特性,蚕蛹作为可食用昆虫具有很高的价值。研究蚕蛹中的生物活性化合物可为该资源的深度加工和利用提供有用信息。在本研究中,采用非靶向代谢组学分析来表征家蚕蛹中存在的生物活性化合物。总共推测注释了93种生物活性化合物,包括23种氨基酸及其衍生物或代谢物、21种脂质及其类似物、17种酚类化合物等。使用化学计量学方法分析了雄蚕蛹和雌蚕蛹中的生物活性化合物。在此过程中,筛选出34种生物活性化合物作为差异生物活性化合物。然后对差异生物活性化合物进行生物信息学分析,以更深入地了解这些差异。基于京都基因与基因组百科全书(KEGG)通路,推测注释了与这些差异代谢物相关的34条代谢通路。

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