Variations in the gut microbiome have been associated with changes in health state such as Crohn’s disease (CD). Most surveys characterize the microbiome through analysis of the 16S rRNA gene. An alternative technology that can be used is flow cytometry. In this report, we reanalyzed a disease cohort that has been characterized by both technologies. Changes in microbial community structure are reflected in both types of data. We demonstrate that cytometric fingerprints can be used as a diagnostic tool in order to classify samples according to CD state. These results highlight the potential of flow cytometry to perform rapid diagnostics of microbiome-associated diseases.

肠道微生物组的变化与健康状况的变化有关，例如克罗恩病 (CD)。大多数调查通过分析 16S rRNA 基因来表征微生物组。可以使用的替代技术是流式细胞术。在本报告中，我们重新分析了以两种技术为特征的疾病队列。微生物群落结构的变化反映在两种类型的数据中。我们证明细胞指纹可以用作诊断工具，以便根据 CD 状态对样本进行分类。这些结果突出了流式细胞术在快速诊断微生物组相关疾病方面的潜力。