Suppr超能文献

肠道微生物组和代谢组对炎症性肠病生物治疗反应的预测价值有限。

Limited predictive value of the gut microbiome and metabolome for response to biological therapy in inflammatory bowel disease.

机构信息

Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

出版信息

Gut Microbes. 2024 Jan-Dec;16(1):2391505. doi: 10.1080/19490976.2024.2391505. Epub 2024 Aug 21.

Abstract

Emerging evidence suggests the gut microbiome's potential in predicting response to biologic treatments in patients with inflammatory bowel disease (IBD). In this prospective study, we aimed to predict treatment response to vedolizumab and ustekinumab, integrating clinical data, gut microbiome profiles based on metagenomic sequencing, and untargeted fecal metabolomics. We aimed to identify predictive biomarkers and attempted to replicate microbiome-based signals from previous studies. We found that the predictive utility of the gut microbiome and fecal metabolites for treatment response was marginal compared to clinical features alone. Testing our identified microbial ratios in an external cohort reinforced the lack of predictive power of the microbiome. Additionally, we could not confirm previously published predictive signals observed in similar sized cohorts. Overall, these findings highlight the importance of external validation and larger sample sizes, to better understand the microbiome's impact on therapy outcomes in the setting of biologicals in IBD before potential clinical implementation.

摘要

新出现的证据表明,肠道微生物组在预测炎症性肠病(IBD)患者对生物治疗的反应方面具有潜力。在这项前瞻性研究中,我们旨在通过整合临床数据、基于宏基因组测序的肠道微生物组谱和非靶向粪便代谢组学,预测 vedolizumab 和 ustekinumab 的治疗反应。我们旨在确定预测生物标志物,并尝试复制先前研究中基于微生物组的信号。我们发现,与单独的临床特征相比,肠道微生物组和粪便代谢物对治疗反应的预测效用是微不足道的。在外部队列中测试我们确定的微生物比值,进一步证实了微生物组缺乏预测能力。此外,我们无法证实在类似大小的队列中观察到的先前发表的预测信号。总的来说,这些发现强调了在潜在的临床应用之前,需要进行外部验证和更大的样本量,以更好地了解微生物组对生物制剂治疗 IBD 中治疗结果的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eae3/11340771/d1e39df0132e/KGMI_A_2391505_F0001_OC.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