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1
Integrated Meta-omics Reveals a Fungus-Associated Bacteriome and Distinct Functional Pathways in Clostridioides difficile Infection.整合宏基因组学揭示艰难梭菌感染中的真菌相关细菌组和独特的功能途径。
mSphere. 2019 Aug 28;4(4):e00454-19. doi: 10.1128/mSphere.00454-19.
2
Host Immune Markers Distinguish Clostridioides difficile Infection From Asymptomatic Carriage and Non-C. difficile Diarrhea.宿主免疫标志物可区分艰难梭菌感染与无症状携带和非艰难梭菌性腹泻。
Clin Infect Dis. 2020 Mar 3;70(6):1083-1093. doi: 10.1093/cid/ciz330.
3
Diversity of CNCM I-745 mechanisms of action against intestinal infections.CNCM I-745 对肠道感染作用机制的多样性。
World J Gastroenterol. 2019 May 14;25(18):2188-2203. doi: 10.3748/wjg.v25.i18.2188.
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Colitis-Induced Th17 Cells Increase the Risk for Severe Subsequent Clostridium difficile Infection.结肠炎诱导的 Th17 细胞增加了严重后续艰难梭菌感染的风险。
Cell Host Microbe. 2019 May 8;25(5):756-765.e5. doi: 10.1016/j.chom.2019.03.003. Epub 2019 Apr 16.
5
Oral Candida administration in a Clostridium difficile mouse model worsens disease severity but is attenuated by Bifidobacterium.艰难梭菌小鼠模型中口服念珠菌给药会加重疾病严重程度,但双歧杆菌可减弱其作用。
PLoS One. 2019 Jan 15;14(1):e0210798. doi: 10.1371/journal.pone.0210798. eCollection 2019.
6
Clostridium difficile toxins induce VEGF-A and vascular permeability to promote disease pathogenesis.艰难梭菌毒素诱导 VEGF-A 产生和血管通透性增加,促进疾病发病机制。
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7
Gut fungal dysbiosis correlates with reduced efficacy of fecal microbiota transplantation in Clostridium difficile infection.肠道真菌失调与艰难梭菌感染中粪便微生物群移植疗效降低相关。
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8
Comparison of Clostridioides difficile Stool Toxin Concentrations in Adults With Symptomatic Infection and Asymptomatic Carriage Using an Ultrasensitive Quantitative Immunoassay.采用超敏定量免疫法比较有症状感染和无症状携带的成人艰难梭菌粪便毒素浓度。
Clin Infect Dis. 2019 Jan 1;68(1):78-86. doi: 10.1093/cid/ciy415.
9
Pre-colonization with the commensal fungus Candida albicans reduces murine susceptibility to Clostridium difficile infection.定植前期的共生真菌白色念珠菌降低了小鼠对艰难梭菌感染的易感性。
Gut Microbes. 2018 Nov 2;9(6):497-509. doi: 10.1080/19490976.2018.1465158. Epub 2018 May 30.
10
Clinical Practice Guidelines for Clostridium difficile Infection in Adults and Children: 2017 Update by the Infectious Diseases Society of America (IDSA) and Society for Healthcare Epidemiology of America (SHEA).临床实践指南:成人和儿童艰难梭菌感染:美国传染病学会(IDSA)和美国医疗保健流行病学学会(SHEA)2017 年更新。
Clin Infect Dis. 2018 Mar 19;66(7):987-994. doi: 10.1093/cid/ciy149.

粪便真菌组合宿主免疫因子可区分艰难梭菌感染与无症状定植。

Fecal Mycobiota Combined With Host Immune Factors Distinguish Clostridioides difficile Infection From Asymptomatic Carriage.

机构信息

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.

出版信息

Gastroenterology. 2021 Jun;160(7):2328-2339.e6. doi: 10.1053/j.gastro.2021.02.069. Epub 2021 Mar 5.

DOI:10.1053/j.gastro.2021.02.069
PMID:33684427
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8169571/
Abstract

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

背景与目的

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。

方法

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)。

结果

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。

结论

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。