Mahnic Aleksander, Breskvar Martin, Dzeroski Saso, Skok Pavel, Pintar Spela, Rupnik Maja
National Laboratory for Health, Environment and Food, Department for Microbiological Research, Maribor, Slovenia.
Department of Knowledge Technologies, Jozef Stefan Institute, Ljubljana, Slovenia.
Front Microbiol. 2020 Feb 11;11:120. doi: 10.3389/fmicb.2020.00120. eCollection 2020.
Typical disease-associated microbiota changes are widely studied as potential diagnostic or therapeutic targets. Our aim was to analyze a hospitalized cohort including various gastroenterological pathologies in order to fine-map the gut microbiota dysbiosis. Bacterial (V3 V4) and fungal (ITS2) communities were determined in 121 hospitalized gastrointestinal patients from a single ward and compared to 162 healthy controls. Random Forest models implemented in this study indicated that the gut community structure is in most cases not sufficient to differentiate the subjects based on their underlying disease. Instead, hospitalized patients in our study formed three distinct disease non-related clusters (C1, C2, and C3), partially explained by antibiotic use. Majority of the subjects (cluster C1) closely resembled healthy controls, showing only mild signs of community disruption; most significantly decreased in this cluster were and . The remaining two clusters (C2 and C3) were characterized by severe signs of dysbiosis; cluster C2 was associated with an increase in and cluster C3 by an increase in According to the cluster affiliation, subjects also showed different degrees of inflammation, most prominent was the positive correlation between levels of C-reactive protein and the abundance of .
典型的疾病相关微生物群变化作为潜在的诊断或治疗靶点被广泛研究。我们的目的是分析一个包括各种胃肠病学病理的住院队列,以便精确描绘肠道微生物群失调情况。在来自单一病房的121名住院胃肠道患者中测定了细菌(V3 V4)和真菌(ITS2)群落,并与162名健康对照进行比较。本研究中实施的随机森林模型表明,在大多数情况下,肠道群落结构不足以根据潜在疾病区分受试者。相反,我们研究中的住院患者形成了三个不同的与疾病无关的簇(C1、C2和C3),部分原因是抗生素的使用。大多数受试者(C1簇)与健康对照非常相似,仅表现出轻微的群落破坏迹象;该簇中最显著减少的是 和 。其余两个簇(C2和C3)的特征是严重的失调迹象;C2簇与 的增加有关,C3簇与 的增加有关。根据簇的归属,受试者还表现出不同程度的炎症,最显著的是C反应蛋白水平与 的丰度之间呈正相关。