数据库中细菌与人源药物代谢酶的比较及肠道菌群对药物代谢影响的展望

皇甫逸凡; 冉雨叶; 封硕; 李菁

doi:10.11665/j.issn.1000-5048.20220705001

数据库中细菌与人源药物代谢酶的比较及肠道菌群对药物代谢影响的展望

1.
中国药科大学生命科学与技术学院，南京 210009
2.
中国药科大学药物质量与安全预警教育部重点实验室，南京 210009
3.
复杂基质样本生物分析湖南省重点实验室，长沙 410000

基金项目: 国家自然科学基金资助项目（No.32170062）；复杂基质样本生物分析湖南省重点实验室资助项目（No.2017TP1037）；江苏省研究生科研与实践创新计划资助项目（No.3322200020）

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出版历程
- 收稿日期: 2022-07-04
- 修回日期: 2023-01-31
- 刊出日期: 2023-02-24

Comparison of bacterial and human drug metabolizing enzymes in database and prospect of influence of intestinal bacteria on drug metabolism

1.
School of Life Science and Technology, China Pharmaceutical University, Nanjing 210009
2.
Ministry of Education Key Laboratory of Drug Quality Control and Pharmacovigilance, China Pharmaceutical University, Nanjing 210009
3.
Hunan Provincial Key Laboratory for Bioanalysis of Complex Matrix Samples, Changsha 410000, China

Funds: This study was supported by the National Natural Science Foundation of China (No.32170062); the Project of Hunan Key Laboratory for Bioanalysis of Complex Matrix Samples (No.2017TP1037) and the Postgraduate Research & Practice Innovation Program of Jiangsu Province (No.3322200020)

摘要

摘要: 聚焦药物代谢相关的各种数据库和文献，对细菌来源与人源药物代谢酶的相关信息进行整理与分析，比较数据库中细菌与人源药物代谢酶收录信息的异同。结果发现细菌来源药物代谢酶比人源药物代谢酶要多很多（9 703 vs 964），但是细菌来源药物代谢酶的数量相较于BRENDA数据库中细菌酶的总体数量却少很多（9 703 vs 20 835 235）。这说明细菌对药物代谢的影响可能被大大地低估，需要进行深入的系统性研究。本文总结了目前研究肠道菌群影响药物代谢的进展及不足，提出研究思路，即通过人工智能对肠道细菌来源蛋白是否具有药物代谢的能力进行预测，用基因编辑与体内外实验等方法进行生物学功能的验证，并建立注释功能完善的肠道菌群与药物代谢相关数据库，为如何深入挖掘肠道菌群对药物代谢影响的研究提供坚实的理论基础。
- 肠道菌群 /
- 药物代谢 /
- 代谢酶 /
- 人工智能
Abstract: This study focused on various databases and literatures related to drug metabolism, collated and analyzed the information related to bacterial and human drug metabolic enzymes, and compared the similarities and differences between the information included in the database of bacterial and human drug metabolic enzymes. Results found more bacterial drug metabolic enzymes than human drug metabolic enzymes (9 703 vs 964), but much less than the total number of bacterial enzymes in BRENDA database (9 703 vs 20 835 235), indicating that the influence of bacteria on drug metabolism could have been greatly underestimated, and that further systematic research is needed.We summarized the progress and shortcomings of the current research on the influence of intestinal flora on drug metabolism, and proposed a research idea, that is, to predict through artificial intelligence whether intestinal bacterial proteins have the ability to metabolize drugs, to verify their biological functions by in vitro/in vivo experiments and gene editing, and to establish a database of drug metabolic enzymes from intestinal bacteria with complete annotation functions, in an attempt to provide a solid theoretical basis for further exploration of the effects of intestinal flora on drug metabolism.
- intestinal microbiota /
- drug metabolism /
- metabolic enzyme /
- artificial intelligence

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参考文献(44)

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文章访问数: 572
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数据库中细菌与人源药物代谢酶的比较及肠道菌群对药物代谢影响的展望

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Comparison of bacterial and human drug metabolizing enzymes in database and prospect of influence of intestinal bacteria on drug metabolism

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