肠道微生物群落和代谢物之间的相互作用调节泛癌症免疫治疗反应

IF 27.7 1区 生物学 Q1 CELL BIOLOGY
Xiaoqiang Zhu, Muni Hu, Xiaowen Huang, Lingxi Li, Xiaolin Lin, Xiaoyan Shao, Jiantao Li, Xiaoyue Du, Xinjia Zhang, Rongrong Sun, Tianying Tong, Yanru Ma, Lijun Ning, Yi Jiang, Yue Zhang, Yuqi Shao, Zhenyu Wang, Yilu Zhou, Jinmei Ding, Ying Zhao, Haoyan Chen
{"title":"肠道微生物群落和代谢物之间的相互作用调节泛癌症免疫治疗反应","authors":"Xiaoqiang Zhu, Muni Hu, Xiaowen Huang, Lingxi Li, Xiaolin Lin, Xiaoyan Shao, Jiantao Li, Xiaoyue Du, Xinjia Zhang, Rongrong Sun, Tianying Tong, Yanru Ma, Lijun Ning, Yi Jiang, Yue Zhang, Yuqi Shao, Zhenyu Wang, Yilu Zhou, Jinmei Ding, Ying Zhao, Haoyan Chen","doi":"10.1016/j.cmet.2024.12.013","DOIUrl":null,"url":null,"abstract":"Immune checkpoint blockade (ICB) therapy has revolutionized cancer treatment but remains effective in only a subset of patients. Emerging evidence suggests that the gut microbiome and its metabolites critically influence ICB efficacy. In this study, we performed a multi-omics analysis of fecal microbiomes and metabolomes from 165 patients undergoing anti-programmed cell death protein 1 (PD-1)/programmed death ligand 1 (PD-L1) therapy, identifying microbial and metabolic entities associated with treatment response. Integration of data from four public metagenomic datasets (<em>n</em> = 568) uncovered cross-cohort microbial and metabolic signatures, validated in an independent cohort (<em>n</em> = 138). An integrated predictive model incorporating these features demonstrated robust performance. Notably, we characterized five response-associated enterotypes, each linked to specific bacterial taxa and metabolites. Among these, the metabolite phenylacetylglutamine (PAGln) was negatively correlated with response and shown to attenuate anti-PD-1 efficacy <em>in vivo</em>. This study sheds light on the interplay among the gut microbiome, the gut metabolome, and immunotherapy response, identifying potential biomarkers to improve treatment outcomes.","PeriodicalId":9840,"journal":{"name":"Cell metabolism","volume":"15 1","pages":""},"PeriodicalIF":27.7000,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Interplay between gut microbial communities and metabolites modulates pan-cancer immunotherapy responses\",\"authors\":\"Xiaoqiang Zhu, Muni Hu, Xiaowen Huang, Lingxi Li, Xiaolin Lin, Xiaoyan Shao, Jiantao Li, Xiaoyue Du, Xinjia Zhang, Rongrong Sun, Tianying Tong, Yanru Ma, Lijun Ning, Yi Jiang, Yue Zhang, Yuqi Shao, Zhenyu Wang, Yilu Zhou, Jinmei Ding, Ying Zhao, Haoyan Chen\",\"doi\":\"10.1016/j.cmet.2024.12.013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Immune checkpoint blockade (ICB) therapy has revolutionized cancer treatment but remains effective in only a subset of patients. Emerging evidence suggests that the gut microbiome and its metabolites critically influence ICB efficacy. In this study, we performed a multi-omics analysis of fecal microbiomes and metabolomes from 165 patients undergoing anti-programmed cell death protein 1 (PD-1)/programmed death ligand 1 (PD-L1) therapy, identifying microbial and metabolic entities associated with treatment response. Integration of data from four public metagenomic datasets (<em>n</em> = 568) uncovered cross-cohort microbial and metabolic signatures, validated in an independent cohort (<em>n</em> = 138). An integrated predictive model incorporating these features demonstrated robust performance. Notably, we characterized five response-associated enterotypes, each linked to specific bacterial taxa and metabolites. Among these, the metabolite phenylacetylglutamine (PAGln) was negatively correlated with response and shown to attenuate anti-PD-1 efficacy <em>in vivo</em>. This study sheds light on the interplay among the gut microbiome, the gut metabolome, and immunotherapy response, identifying potential biomarkers to improve treatment outcomes.\",\"PeriodicalId\":9840,\"journal\":{\"name\":\"Cell metabolism\",\"volume\":\"15 1\",\"pages\":\"\"},\"PeriodicalIF\":27.7000,\"publicationDate\":\"2025-02-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cell metabolism\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/j.cmet.2024.12.013\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell metabolism","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.cmet.2024.12.013","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

免疫检查点阻断(ICB)疗法已经彻底改变了癌症治疗,但仍然只对一小部分患者有效。新出现的证据表明,肠道微生物群及其代谢物对ICB的疗效有关键影响。在这项研究中,我们对165名接受抗程序性细胞死亡蛋白1 (PD-1)/程序性死亡配体1 (PD-L1)治疗的患者的粪便微生物组和代谢组进行了多组学分析,确定了与治疗反应相关的微生物和代谢实体。整合来自四个公共宏基因组数据集(n = 568)的数据揭示了跨队列微生物和代谢特征,并在一个独立队列(n = 138)中得到验证。结合这些特征的集成预测模型显示了稳健的性能。值得注意的是,我们描述了五种与反应相关的肠型,每一种都与特定的细菌分类群和代谢物有关。其中,代谢物苯乙酰谷氨酰胺(PAGln)与反应呈负相关,并在体内减弱抗pd -1的疗效。这项研究揭示了肠道微生物组、肠道代谢组和免疫治疗反应之间的相互作用,确定了改善治疗结果的潜在生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Interplay between gut microbial communities and metabolites modulates pan-cancer immunotherapy responses

Interplay between gut microbial communities and metabolites modulates pan-cancer immunotherapy responses
Immune checkpoint blockade (ICB) therapy has revolutionized cancer treatment but remains effective in only a subset of patients. Emerging evidence suggests that the gut microbiome and its metabolites critically influence ICB efficacy. In this study, we performed a multi-omics analysis of fecal microbiomes and metabolomes from 165 patients undergoing anti-programmed cell death protein 1 (PD-1)/programmed death ligand 1 (PD-L1) therapy, identifying microbial and metabolic entities associated with treatment response. Integration of data from four public metagenomic datasets (n = 568) uncovered cross-cohort microbial and metabolic signatures, validated in an independent cohort (n = 138). An integrated predictive model incorporating these features demonstrated robust performance. Notably, we characterized five response-associated enterotypes, each linked to specific bacterial taxa and metabolites. Among these, the metabolite phenylacetylglutamine (PAGln) was negatively correlated with response and shown to attenuate anti-PD-1 efficacy in vivo. This study sheds light on the interplay among the gut microbiome, the gut metabolome, and immunotherapy response, identifying potential biomarkers to improve treatment outcomes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Cell metabolism
Cell metabolism 生物-内分泌学与代谢
CiteScore
48.60
自引率
1.40%
发文量
173
审稿时长
2.5 months
期刊介绍: Cell Metabolism is a top research journal established in 2005 that focuses on publishing original and impactful papers in the field of metabolic research.It covers a wide range of topics including diabetes, obesity, cardiovascular biology, aging and stress responses, circadian biology, and many others. Cell Metabolism aims to contribute to the advancement of metabolic research by providing a platform for the publication and dissemination of high-quality research and thought-provoking articles.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信