College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi Province, China; Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Gastroenterology. 2021 Jun;160(7):2328-2339.e6. doi: 10.1053/j.gastro.2021.02.069. Epub 2021 Mar 5.
BACKGROUND & AIMS: Although the role of gut microbiota in Clostridioides difficile infection (CDI) has been well established, little is known about the role of mycobiota in CDI. Here, we performed mycobiome data analysis in a well-characterized human cohort to evaluate the potential of using gut mycobiota features for CDI diagnosis.
Stool samples were collected from 118 hospital patients, divided into 3 groups: CDI (n = 58), asymptomatic carriers (Carrier, n = 28), and Control (n = 32). The nuclear ribosomal DNA internal transcribed spacer 2 was sequenced using the Illumina HiSeq platform to assess the fungal composition. Downstream statistical analyses (including Alpha diversity analysis, ordination analysis, differential abundance analysis, fungal correlation network analysis, and classification analysis) were then performed.
Significant differences were observed in alpha and beta diversity between patients with CDI and Carrier (P < .05). Differential abundance analysis identified 2 genera (Cladosporium and Aspergillus) enriched in Carrier. The ratio of Ascomycota to Basidiomycota was dramatically higher in patients with CDI than in Carrier and Control (P < .05). Correlations between host immune factors and mycobiota features were weaker in patients with CDI than in Carrier. Using 4 fungal operational taxonomic units combined with 6 host immune markers in the random forest classifier can achieve very high performance (area under the curve ∼92.38%) in distinguishing patients with CDI from Carrier.
Our study provides specific markers of stool fungi combined with host immune factors to distinguish patients with CDI from Carrier. It highlights the importance of gut mycobiome in CDI, which may have been underestimated. Further studies on the diagnostic applications and therapeutic potentials of these findings are warranted.
虽然肠道微生物群在艰难梭菌感染(CDI)中的作用已得到充分证实,但关于真菌群落(mycobiota)在 CDI 中的作用知之甚少。在此,我们对一个特征明确的人类队列进行了肠道真菌组数据分析,以评估使用肠道真菌群特征进行 CDI 诊断的潜力。
收集了 118 名住院患者的粪便样本,分为 3 组:CDI(n=58)、无症状携带者(Carrier,n=28)和对照(n=32)。使用 Illumina HiSeq 平台对核核糖体 DNA 内部转录间隔区 2 进行测序,以评估真菌组成。然后进行下游统计分析(包括 Alpha 多样性分析、排序分析、差异丰度分析、真菌相关网络分析和分类分析)。
CDI 患者和 Carrier 之间的 Alpha 和 Beta 多样性存在显著差异(P<0.05)。差异丰度分析发现,Carrier 中富集了 2 个属(Cladosporium 和 Aspergillus)。与 Carrier 和对照相比,CDI 患者的子囊菌门与担子菌门的比值明显更高(P<0.05)。与 Carrier 相比,CDI 患者的宿主免疫因子与真菌群特征之间的相关性较弱。使用 4 个真菌操作分类单元结合随机森林分类器中的 6 个宿主免疫标志物,可以非常高的性能(曲线下面积约为 92.38%)区分 CDI 患者和 Carrier。
本研究提供了粪便真菌与宿主免疫因子相结合的特定标志物,用于区分 CDI 患者和 Carrier。它强调了肠道真菌组在 CDI 中的重要性,这可能被低估了。需要进一步研究这些发现的诊断应用和治疗潜力。