Suppr超能文献

肺癌患者肠道微生物群和代谢物谱的改变

Alterations in the Gut Microbiota and Metabolite Profiles of Lung Cancer Patients.

作者信息

Li Nan, Qian Qiliu, Ouyang Jun, Hu Mingyue, Chang Ligong, Zheng Shiya

机构信息

Department of Gastroenterology, Zhongda Hospital of Southeast University, Nanjing, 210009, China.

Medical School, Southeast University, Nanjing, 210009, China.

出版信息

Curr Microbiol. 2025 Aug 1;82(9):428. doi: 10.1007/s00284-025-04362-3.

Abstract

Lung cancer is the leading cause of cancer-related deaths worldwide. The gut microbiota is known to be involved in the occurrence and development of a variety of cancers, but the role of gut microbiota in lung cancer remains unclear. Here, we selected fecal samples of lung cancer patients and healthy people for 16S rRNA high-throughput sequencing and untargeted metabolomics analysis, respectively. The results showed that Actinobacteria, Proteobacteria, Patescibacteria, Cyanobacteria and Verrucomicrobiota were enriched in the LC; And the interaction between bacteria in the LC was more complicated than that in the NC. ROC showed that Actinobacteriota, Bacteroidota, Verrucomicrobiota and 7 kinds of bacteria at the genus have a better resolution for LC There are 82 kinds of metabolites that were different between NC and LC, mainly lipid metabolism molecules KEGG analysis indicated that Glycerophospholipid metabolism and alpha-Linolenic acid metabolism may be different in the LC and NC. ROC showed that 15 kinds of metabolites had a better classification effect on LC and NC; And we found that the correlation between metabolites in NC was higher than that in LC. This article pointed out the direction for follow-up research on its role in the occurrence and development of lung cancer.

摘要

肺癌是全球癌症相关死亡的主要原因。已知肠道微生物群参与多种癌症的发生和发展,但肠道微生物群在肺癌中的作用仍不清楚。在此,我们分别选取肺癌患者和健康人的粪便样本进行16S rRNA高通量测序和非靶向代谢组学分析。结果显示,放线菌门、变形菌门、Patescibacteria、蓝细菌门和疣微菌门在肺癌组中富集;且肺癌组中细菌之间的相互作用比正常对照组更复杂。ROC曲线显示,放线菌门、拟杆菌门、疣微菌门以及7个属水平的细菌对肺癌具有较好的分辨能力。正常对照组和肺癌组之间有82种代谢物存在差异,主要是脂质代谢分子。KEGG分析表明,甘油磷脂代谢和α-亚麻酸代谢在肺癌组和正常对照组中可能存在差异。ROC曲线显示,15种代谢物对肺癌组和正常对照组有较好的分类效果;并且我们发现正常对照组中代谢物之间的相关性高于肺癌组。本文为后续研究其在肺癌发生发展中的作用指明了方向。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验