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代谢组学和肠道微生物群与克罗恩病对 TNF 治疗的原发性反应相关。

Metabonomics and the Gut Microbiome Associated With Primary Response to Anti-TNF Therapy in Crohn's Disease.

机构信息

St Vincent's Hospital, Inflammatory Bowel Disease, Melbourne, VIC, Australia.

St Mark's Hospital, Inflammatory Bowel Disease Unit, London, UK.

出版信息

J Crohns Colitis. 2020 Sep 7;14(8):1090-1102. doi: 10.1093/ecco-jcc/jjaa039.

Abstract

BACKGROUND AND AIMS

Anti-tumour necrosis factor [anti-TNF] therapy is indicated for treatment of moderate to severe inflammatory bowel disease [IBD], but has a primary non-response rate of around 30%. We aim to use metabonomic and metataxonomic profiling to identify predictive biomarkers of anti-TNF response in Crohn's disease.

METHODS

Patients with luminal Crohn's disease, commencing anti-TNF therapy, were recruited with urine, faeces, and serum samples being collected at baseline and 3-monthly. Primary response was defined according to a combination of clinical and objective markers of inflammation. Samples were measured using three UPLC-MS assays: lipid, bile acid, and Hydrophillic Interaction Liquid Chromatography [HILIC] profiling with 16S rRNA gene sequencing of faeces.

RESULTS

Samples were collected from 76 Crohn's disease patients who were anti-TNF naïve and from 13 healthy controls. There were 11 responders, 37 non-responders, and 28 partial responders in anti-TNF-treated Crohn's patients. Histidine and cysteine were identified as biomarkers of response from polar metabolite profiling [HILIC] of serum and urine. Lipid profiling of serum and faeces found phosphocholines, ceramides, sphingomyelins, and triglycerides, and bile acid profiling identified primary bile acids to be associated with non-response to anti-TNF therapy, with higher levels of phase 2 conjugates in non-responders. Receiver operating curves for treatment response demonstrated 0.94 +/ -0.10 [faecal lipid], 0.81 +/- 0.17 [faecal bile acid], and 0.74 +/- 0.15 [serum bile acid] predictive ability for anti-TNF response in Crohn's disease.

CONCLUSIONS

This prospective, longitudinal cohort study of metabonomic and 16S rRNA gene sequencing analysis demonstrates that a range of metabolic biomarkers involving lipid, bile acid, and amino acid pathways may contribute to prediction of response to anti-TNF therapy in Crohn's disease.

PODCAST

This article has an associated podcast which can be accessed at https://academic.oup.com/ecco-jcc/pages/podcast.

摘要

背景和目的

抗肿瘤坏死因子 [anti-TNF] 疗法适用于治疗中重度炎症性肠病 [IBD],但其原发性无反应率约为 30%。我们旨在使用代谢组学和代谢分类组学分析来确定克罗恩病抗 TNF 反应的预测生物标志物。

方法

招募开始接受抗 TNF 治疗的腔克罗恩病患者,采集基线和 3 个月时的尿液、粪便和血清样本。根据炎症的临床和客观标志物的组合来定义主要反应。使用三种 UPLC-MS 测定法测量样品:粪便的脂质、胆汁酸和亲水相互作用液相色谱 [HILIC] 图谱以及 16S rRNA 基因测序。

结果

共收集了 76 例抗 TNF 初治克罗恩病患者和 13 例健康对照者的样本。在接受抗 TNF 治疗的克罗恩病患者中,有 11 例应答者、37 例无应答者和 28 例部分应答者。血清和尿液的极性代谢物谱 [HILIC] 鉴定出组氨酸和半胱氨酸是反应的生物标志物。血清和粪便的脂质谱发现磷酸胆碱、神经酰胺、神经鞘磷脂和甘油三酯,胆汁酸谱确定初级胆汁酸与抗 TNF 治疗无反应相关,无反应者中相 2 结合物水平较高。治疗反应的接收者操作曲线显示,在克罗恩病中,抗 TNF 反应的预测能力分别为 0.94 +/- 0.10 [粪便脂质]、0.81 +/- 0.17 [粪便胆汁酸]和 0.74 +/- 0.15 [血清胆汁酸]。

结论

这项关于代谢组学和 16S rRNA 基因测序分析的前瞻性纵向队列研究表明,涉及脂质、胆汁酸和氨基酸途径的一系列代谢生物标志物可能有助于预测克罗恩病对抗 TNF 治疗的反应。

播客

本文有相关播客,可在 https://academic.oup.com/ecco-jcc/pages/podcast 访问。

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