Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA.
Janssen Pharmaceutical Companies of Johnson & Johnson, Spring House, Pennsylvania, USA.
mBio. 2018 Mar 13;9(2):e02120-17. doi: 10.1128/mBio.02120-17.
The fecal microbiota is a rich source of biomarkers that have previously been shown to be predictive of numerous disease states. Less well studied is the effect of immunomodulatory therapy on the microbiota and its role in response to therapy. This study explored associations between the fecal microbiota and therapeutic response of Crohn's disease (CD) patients treated with ustekinumab (UST; Stelara) in the phase 2 CERTIFI study. Using stool samples collected over the course of 22 weeks, the composition of these subjects' fecal bacterial communities was characterized by sequencing the 16S rRNA gene. Subjects in remission could be distinguished from those with active disease 6 weeks after treatment using random forest models trained on subjects' baseline microbiota and clinical data (area under the curve [AUC] of 0.844, specificity of 0.831, sensitivity of 0.774). The most predictive operational taxonomic units (OTUs) that were ubiquitous among subjects were affiliated with and or The median baseline community diversity in subjects in remission 6 weeks after treatment was 1.7 times higher than that in treated subjects with active disease ( = 0.020). Their baseline community structures were also significantly different ( = 0.017). Two OTUs affiliated with ( = 0.003) and ( = 0.022) were significantly more abundant at baseline in subjects who were in remission 6 weeks after treatment than those with active CD. The microbiota diversity of UST-treated clinical responders increased over the 22 weeks of the study, in contrast to nonresponsive subjects ( = 0.012). The observed baseline differences in fecal microbiota and changes due to therapeutic response support the potential for the microbiota as a response biomarker. CD is a global health concern, with increasing incidence and prevalence, causing large economic and health care impacts. Finding prognostic biomarkers that give clinicians the ability to identify patients more likely to respond to CD treatment at diagnosis will reduce the time subjects receive drugs that are unlikely to be beneficial. OTUs associated with remission after treatment induction, especially , could be biomarkers for successful UST treatment of anti-tumor necrosis factor alpha (anti-TNF-α) refractory CD patients. More broadly, these results suggest that the fecal microbiota could be a useful noninvasive biomarker for directing or monitoring the treatment of gastrointestinal diseases.
粪便微生物群是生物标志物的丰富来源,先前已证明这些生物标志物可预测多种疾病状态。较少研究的是免疫调节治疗对微生物群的影响及其在治疗反应中的作用。本研究在 2 期 CERTIFI 研究中探讨了接受乌司奴单抗(UST;Stelara)治疗的克罗恩病(CD)患者粪便微生物群与治疗反应之间的关联。使用在 22 周的过程中收集的粪便样本,通过测序 16S rRNA 基因来描述这些受试者粪便细菌群落的组成。使用基于受试者基线微生物群和临床数据的随机森林模型,在治疗 6 周后,可以区分缓解的受试者和患有活动性疾病的受试者(曲线下面积 [AUC]为 0.844,特异性为 0.831,灵敏度为 0.774)。在缓解的受试者中普遍存在的最具预测性的操作分类单元(OTU)与 或 有关联。治疗后 6 周缓解的受试者的中位数基线社区多样性是患有活动性疾病的治疗受试者的 1.7 倍(= 0.020)。他们的基线群落结构也有显著差异(= 0.017)。在治疗后 6 周缓解的受试者中,与 CD 活动性疾病的患者相比,与 相关的 2 个 OTU(= 0.003)和 (= 0.022)的丰度明显更高。与未应答者相比,UST 治疗的临床应答者的微生物多样性在研究的 22 周内增加(= 0.012)。治疗反应的基线差异和微生物群的变化支持了微生物群作为反应生物标志物的潜力。CD 是一个全球性的健康问题,发病率和患病率不断上升,给经济和医疗保健带来了巨大的影响。寻找能够让临床医生有能力在诊断时识别出更有可能对 CD 治疗有反应的患者的预后生物标志物,将减少患者接受可能无益的药物的时间。治疗诱导后与缓解相关的 OTU,尤其是 ,可能是成功治疗抗肿瘤坏死因子-α(抗-TNF-α)难治性 CD 患者的 UST 治疗的生物标志物。更广泛地说,这些结果表明,粪便微生物群可能是一种有用的非侵入性生物标志物,可用于指导或监测胃肠道疾病的治疗。