Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
Inflamm Bowel Dis. 2023 Jul 5;29(7):1118-1132. doi: 10.1093/ibd/izad004.
Microbial communities have long been suspected to influence inflammatory processes in the gastrointestinal tract of patients with inflammatory bowel disease. However, these effects are often influenced by treatments and can rarely be analyzed in treatment-naïve onset cases. Specifically, microbial differences between IBD pathologies in new onset cases have rarely been investigated and can provide novel insight into the dynamics of the microbiota in Crohn's disease (CD) and ulcerative colitis (UC).
Fifty-six treatment-naïve IBD onset patients (67.3% CD, 32.7% UC) and 97 healthy controls were recruited from the Maltese population. Stool samples were collected after diagnosis but before administration of anti-inflammatory treatments. Fecal microbial communities were assessed via 16S rRNA gene sequencing and subjected to ecological analyses to determine disease-specific differences between pathologies and disease subtypes or to predict future treatment options.
We identified significant differences in community composition, variability, and diversity between healthy and diseased individuals-but only small to no differences between the newly diagnosed, treatment-naïve UC and CD cohorts. Network analyses revealed massive turnover of bacterial interactions between healthy and diseased communities, as well as between CD and UC communities, as signs of disease-specific changes of community dynamics. Furthermore, we identified taxa and community characteristics serving as predictors for prospective treatments.
Untreated and newly diagnosed IBD shows clear differences from healthy microbial communities and an elevated level of disturbance, but only the network perspective revealed differences between pathologies. Furthermore, future IBD treatment is to some extent predictable by microbial community characteristics.
长期以来,人们一直怀疑微生物群落会影响炎症性肠病患者胃肠道的炎症过程。然而,这些影响通常受到治疗的影响,在未经治疗的发病病例中很少进行分析。具体来说,新发病例中 IBD 病理之间的微生物差异很少被研究,这可以为克罗恩病 (CD) 和溃疡性结肠炎 (UC) 中的微生物群动态提供新的见解。
从马耳他人群中招募了 56 名未经治疗的 IBD 发病患者(67.3% CD,32.7% UC)和 97 名健康对照者。在诊断后但在给予抗炎治疗之前采集粪便样本。通过 16S rRNA 基因测序评估粪便微生物群落,并进行生态分析,以确定疾病之间以及疾病亚型之间的特定差异,或预测未来的治疗选择。
我们发现健康个体与患病个体之间的群落组成、可变性和多样性存在显著差异-但在新诊断的、未经治疗的 UC 和 CD 队列之间差异较小或没有差异。网络分析显示,健康和患病群落之间以及 CD 和 UC 群落之间的细菌相互作用发生了大规模的转变,这是群落动态疾病特异性变化的迹象。此外,我们确定了作为预测未来治疗的候选物的分类群和群落特征。
未经治疗和新诊断的 IBD 与健康微生物群落存在明显差异,并且存在较高的干扰水平,但只有网络视角揭示了病理之间的差异。此外,未来的 IBD 治疗在某种程度上可以通过微生物群落特征来预测。