炎症性肠病家族队列研究中微生物变化的第一手资料

Philipp Rausch, Ilka Ratjen, Lukas Tittmann, Janna Enderle, Eike Matthias Wacker, Kathrin Jaeger, Malte Christoph Ruehlemann, Pierre Ellul, Robert Kruse, Jonas Halfvarsson, Dirk Roggenbuck, David Ellinghaus, Gunnar Jacobs, Michael Krawczak, Stefan Schreiber, Corinna Bang, Wolfgang Lieb, Andre Franke
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摘要

研究背景前瞻性基尔炎症性肠病(IBD)家族队列研究(KINDRED 队列)于 2013 年启动,旨在系统、广泛地收集指数 IBD 患者及其亲属(IBD 高危人群)的数据和生物样本(如血液、粪便)。研究人员定期进行随访,以收集最新的健康和生活方式信息,获取新的生物样本,并掌握 IBD 在发展过程中的发病率。通过将连续时间点收集到的微生物分类学数据和功能性微生物估算数据与广泛的人体测量、医疗、营养和社会信息相结合,该研究旨在通过详细的生态学分析来描述影响健康和疾病的微生物群的因素:利用在德国 KINDRED 队列中训练的两个菌群失调度量指标(MD-index、GMHI),我们在不同的 IBD 队列内部和之间发现了强烈的、可推广的梯度,这些梯度与 IBD 病理、炎症的生理表现(如布里斯托尔粪便评分、ASCA IgA/IgG)、IBD 遗传风险和一般发病风险密切相关。影响粪便转运时间的人体测量和医疗因素会强烈改变细菌群落。各种肠杆菌科细菌(如克雷伯氏菌)和机会性梭状芽孢杆菌病原体(如 XIVa 梭状芽孢杆菌)与异位口腔类群(如 Veillonella sp.、Cand. Saccharibacteria sp.、Fusobacterium nucleatum)共同构成了独特而混乱的 IBD 特异性群落。从功能上看,氨基酸代谢和鞭毛组装是有益的,而粘液溶解功能则与 IBD 相关。结论:我们的研究结果展示了大范围的生态模式,表明 IBD 患者群落的状态急剧转变为特征性的混乱群落。这些模式似乎在不同群体中具有普遍性,并影响炎症的生理迹象,显示出很强的恢复能力,但遗传性/家族内传播却很小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
First Insights into microbial changes within an Inflammatory Bowel Disease Family Cohort study
Background: The prospective Kiel Inflammatory Bowel Disease (IBD) Family Cohort Study (KINDRED cohort) was initiated in 2013 to systematically and extensively collect data and biosamples from index IBD patients and their relatives (e.g., blood, stool), a population at high risk for IBD development. Regular follow-ups were conducted to collect updated health and lifestyle information, to obtain new biosamples, and to capture the incidence of IBD during development. By combining taxonomic and imputed functional microbial data collected at successive time points with extensive anthropometric, medical, nutritional, and social information, this study aimed to characterize the factors influencing the microbiota in health and disease via detailed ecological analyses. Results: Using two dysbiosis metrics (MD-index, GMHI) trained on the German KINDRED cohort, we identified strong and generalizable gradients within and across different IBD cohorts, which correspond strongly with IBD pathologies, physiological manifestations of inflammation (e.g., Bristol stool score, ASCA IgA/IgG), genetic risk for IBD, and general risk of disease onset. Anthropometric and medical factors influencing transit time strongly modify bacterial communities. Various Enterobacteriaceae (e.g., Klebsiella sp.) and opportunistic Clostridia pathogens (e.g., C. XIVa clostridioforme), characterize in combination with ectopic oral taxa (e.g. Veillonella sp., Cand. Saccharibacteria sp., Fusobacterium nucleatum) the distinct and chaotic IBD-specific communities. Functionally, amino acid metabolism and flagellar assembly are beneficial, while mucolytic functions are associated with IBD. Conclusions: Our findings demonstrate broad-scale ecological patterns which indicate drastic state transitions of communities into characteristically chaotic communities in IBD patients. These patterns appear to be universal across cohorts and influence physiological signs of inflammation, display high resilience, but show only little heritability/intrafamily transmission.
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