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用于研究胃肠道寄生虫极性代谢物和脂质的技术、数据库及软件

Techniques, Databases and Software Used for Studying Polar Metabolites and Lipids of Gastrointestinal Parasites.

作者信息

Wangchuk Phurpa, Yeshi Karma

机构信息

College of Public Health, Medical and Veterinary Sciences (CPHMVS), James Cook University, McGregor Rd, Smithfield, Cairns, QLD 4878, Australia.

Australian Institute of Tropical Health and Medicine (AITHM), James Cook University, McGregor Rd, Smithfield, Cairns, QLD 4878, Australia.

出版信息

Animals (Basel). 2024 Sep 13;14(18):2671. doi: 10.3390/ani14182671.

Abstract

Gastrointestinal parasites (GIPs) are organisms known to have coevolved for millennia with their mammalian hosts. These parasites produce small molecules, peptides, and proteins to evade or fight their hosts' immune systems and also to protect their host for their own survival/coexistence. The small molecules include polar compounds, amino acids, lipids, and carbohydrates. Metabolomics and lipidomics are emerging fields of research that have recently been applied to study helminth infections, host-parasite interactions and biochemicals of GIPs. This review comprehensively discusses metabolomics and lipidomics studies of the small molecules of GIPs, providing insights into the available tools and techniques, databases, and analytical software. Most metabolomics and lipidomics investigations employed LC-MS, MS or MS/MS, NMR, or a combination thereof. Recent advancements in artificial intelligence (AI)-assisted software tools and databases have propelled parasitomics forward, offering new avenues to explore host-parasite interactions, immunomodulation, and the intricacies of parasitism. As our understanding of AI technologies and their utilisation continue to expand, it promises to unveil novel perspectives and enrich the knowledge of these complex host-parasite relationships.

摘要

胃肠道寄生虫(GIPs)是已知与哺乳动物宿主共同进化了数千年的生物体。这些寄生虫产生小分子、肽和蛋白质,以逃避或对抗宿主的免疫系统,同时也为自身的生存/共存而保护宿主。小分子包括极性化合物、氨基酸、脂质和碳水化合物。代谢组学和脂质组学是新兴的研究领域,最近已被应用于研究蠕虫感染、宿主-寄生虫相互作用以及胃肠道寄生虫的生物化学物质。本综述全面讨论了胃肠道寄生虫小分子的代谢组学和脂质组学研究,深入介绍了可用的工具和技术、数据库以及分析软件。大多数代谢组学和脂质组学研究采用液相色谱-质谱联用(LC-MS)、质谱(MS)或串联质谱(MS/MS)、核磁共振(NMR)或它们的组合。人工智能(AI)辅助软件工具和数据库的最新进展推动了寄生虫组学的发展,为探索宿主-寄生虫相互作用、免疫调节和寄生现象的复杂性提供了新途径。随着我们对人工智能技术及其应用的理解不断扩展,有望揭示新的观点并丰富对这些复杂宿主-寄生虫关系的认识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f80e/11428429/c7d6f581c080/animals-14-02671-g001.jpg

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