Suppr超能文献

益生菌预防乳糜泻和炎症性肠病。

Probiotics to Prevent Celiac Disease and Inflammatory Bowel Diseases.

机构信息

Research Centre for Immunology and Mucosal Biology and Division of Pediatric Gastroenterology and Nutrition, Massachusetts General Hospital for Children - Harvard Medical School, Boston, USA, MA.

Mucosal Immunology and Biology Research Center and Division of Pediatric Gastroenterology and Nutrition, Mass General for Children - Harvard Medical School, Boston, MA, USA.

出版信息

Adv Exp Med Biol. 2024;1449:95-111. doi: 10.1007/978-3-031-58572-2_6.

Abstract

The incidence of chronic inflammatory diseases (CIDs) is dramatically increasing in the developed world, resulting in an increased burden of disease in childhood. Currently, there are limited effective strategies for treating or preventing these conditions. To date, myriads of cross-sectional studies have described alterations in the composition of the gut microbiota in a variety of disease states, after the disease has already occurred. We suggest that to mechanically link these microbiome changes with disease pathogenesis, a prospective cohort design is needed to capture changes that precede or coincide with disease onset and symptoms. In addition, these prospective studies must integrate microbiological, metagenomic, meta transcriptomic and metabolomic data with minimal and standardized clinical and environmental metadata that allow to correctly compare and interpret the results of the analysis of the human microbiota in order to build a system-level model of the interactions between the host and the development of the disease. The creation of new biological computational models thus constructed will allow us to finally move from the detection of simple elements of "association" to the identification of elements of real "causality" allowing to provide a mechanistic approach to the exploration of the development of CIDs.This can only be done when these diseases are studied as complex biological networks. In this chapter we discuss the current knowledge regarding the contribution of the microbiome to CID in childhood, focusing on celiac disease and inflammatory bowel disease, with the overall aim of identifying pathways to shift research from descriptive to mechanistic approaches. We then examine how some components of the microbiota, through epigenetic reprogramming, can start the march from genetic predisposition to clinical expression of CIDs, thus opening up new possibilities for intervention, through microbiota therapy targeting the manipulation of the composition and function of the microbiota, for future applications of precision medicine and primary prevention.

摘要

慢性炎症性疾病(CIDs)在发达国家的发病率正在急剧上升,导致儿童疾病负担加重。目前,针对这些疾病的治疗或预防策略非常有限。迄今为止,大量横断面研究描述了在疾病发生后,各种疾病状态下肠道微生物组的组成发生了改变。我们认为,为了将这些微生物组变化与疾病发病机制机械地联系起来,需要采用前瞻性队列设计来捕捉在疾病发作和症状出现之前或同时发生的变化。此外,这些前瞻性研究必须将微生物学、宏基因组学、宏转录组学和代谢组学数据与最小化和标准化的临床和环境元数据相结合,以正确比较和解释人类微生物组分析的结果,从而构建宿主与疾病发展之间相互作用的系统级模型。通过这种方式构建的新的生物计算模型将使我们能够最终从检测简单的“关联”元素过渡到识别真正的“因果”元素,从而为探索 CIDs 的发展提供一种机制方法。只有当这些疾病被作为复杂的生物网络进行研究时,才能做到这一点。在本章中,我们讨论了微生物组对儿童 CID 的贡献的现有知识,重点关注乳糜泻和炎症性肠病,总的来说,目的是确定将研究从描述性方法转变为机制性方法的途径。然后,我们研究了微生物组的某些成分如何通过表观遗传重编程,从遗传易感性开始向 CIDs 的临床表达发展,从而为通过针对微生物组组成和功能的操纵的微生物组疗法开辟新的干预可能性,为精准医学和初级预防的未来应用提供新的可能性。

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