Suppr超能文献

推进肠道微生物组研究:从宏基因组学到多组学的转变及未来展望

Advancing Gut Microbiome Research: The Shift from Metagenomics to Multi-Omics and Future Perspectives.

作者信息

Yang So-Yeon, Han Seung Min, Lee Ji-Young, Kim Kyoung Su, Lee Jae-Eun, Lee Dong-Woo

机构信息

Department of Biotechnology, Yonsei University, Seoul 03722, Republic of Korea.

出版信息

J Microbiol Biotechnol. 2025 Mar 26;35:e2412001. doi: 10.4014/jmb.2412.12001.

Abstract

The gut microbiome, a dynamic and integral component of human health, has co-evolved with its host, playing essential roles in metabolism, immunity, and disease prevention. Traditional microbiome studies, primarily focused on microbial composition, have provided limited insights into the functional and mechanistic interactions between microbiota and their host. The advent of multi-omics technologies has transformed microbiome research by integrating genomics, transcriptomics, proteomics, and metabolomics, offering a comprehensive, systems-level understanding of microbial ecology and host-microbiome interactions. These advances have propelled innovations in personalized medicine, enabling more precise diagnostics and targeted therapeutic strategies. This review highlights recent breakthroughs in microbiome research, demonstrating how these approaches have elucidated microbial functions and their implications for health and disease. Additionally, it underscores the necessity of standardizing multi-omics methodologies, conducting large-scale cohort studies, and developing novel platforms for mechanistic studies, which are critical steps toward translating microbiome research into clinical applications and advancing precision medicine.

摘要

肠道微生物群是人类健康动态且不可或缺的组成部分,它与宿主共同进化,在新陈代谢、免疫和疾病预防中发挥着重要作用。传统的微生物群研究主要集中在微生物组成上,对微生物群与其宿主之间的功能和机制相互作用的了解有限。多组学技术的出现通过整合基因组学、转录组学、蛋白质组学和代谢组学改变了微生物群研究,提供了对微生物生态学和宿主-微生物群相互作用的全面、系统层面的理解。这些进展推动了个性化医疗的创新,实现了更精确的诊断和靶向治疗策略。本综述重点介绍了微生物群研究的最新突破,展示了这些方法如何阐明微生物功能及其对健康和疾病的影响。此外,它强调了标准化多组学方法、开展大规模队列研究以及开发用于机制研究的新型平台的必要性,这些都是将微生物群研究转化为临床应用并推进精准医学的关键步骤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0eb3/12010094/af6af7407566/jmb-35-e2412001-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验