谷歌浏览器插件
订阅小程序
在清言上使用

The Promise of the Gut Microbiome As Part of Individualized Treatment Strategies

NATURE REVIEWS GASTROENTEROLOGY & HEPATOLOGY(2022)

引用 47|浏览20
暂无评分
摘要
Variability in disease presentation, progression and treatment response has been a central challenge in medicine. Although variability in host factors and genetics are important, it has become evident that the gut microbiome, with its vast genetic and metabolic diversity, must be considered in moving towards individualized treatment. In this Review, we discuss six broad disease groups: infectious disease, cancer, metabolic disease, cardiovascular disease, autoimmune or inflammatory disease, and allergic and atopic diseases. We highlight current knowledge on the gut microbiome in disease pathogenesis and prognosis, efficacy, and treatment-related adverse events and its promise for stratifying existing treatments and as a source of novel therapies. The Review is not meant to be comprehensive for each disease state but rather highlights the potential implications of the microbiome as a tool to individualize treatment strategies in clinical practice. Although early, the outlook is optimistic but challenges need to be overcome before clinical implementation, including improved understanding of underlying mechanisms, longitudinal studies with multiple data layers reflecting gut microbiome and host response, standardized approaches to testing and reporting, and validation in larger cohorts. Given progress in the microbiome field with concurrent basic and clinical studies, the microbiome will likely become an integral part of clinical care within the next decade. The gut microbiota is increasingly recognized as an important factor in disease development, progression and treatment response. This Review highlights the promise of strategies that target the gut microbiome in the treatment of disease, including cancer and infectious and metabolic diseases.
更多
查看译文
关键词
Gastroenterology,Microbiology,Microbiota,Medicine/Public Health,general,Hepatology,Biomedicine
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要