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宏基因组分析揭示了感染性(艰难梭菌感染)、无症状携带和非艰难梭菌感染性腹泻中具有多样化功能的肠道微生物群特征的不同模式。

Metagenomic analysis reveals distinct patterns of gut microbiota features with diversified functions in infection (CDI), asymptomatic carriage and non-CDI diarrhea.

作者信息

Wang Lamei, Chen Xinhua, Pollock Nira R, Villafuerte Gálvez Javier A, Alonso Carolyn D, Wang Dangdang, Daugherty Kaitlyn, Xu Hua, Yao Junhu, Chen Yulin, Kelly Ciaran P, Cao Yangchun

机构信息

College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.

Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

出版信息

Gut Microbes. 2025 Dec;17(1):2505269. doi: 10.1080/19490976.2025.2505269. Epub 2025 May 14.

DOI:10.1080/19490976.2025.2505269
PMID:40366862
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12080279/
Abstract

infection (CDI) has been recognized as a leading cause of healthcare-associated infections and a considerable threat to public health globally. Increasing evidence suggests that the gut microbiota plays a key role in the pathogenesis of CDI. The taxonomic composition and functional capacity of the gut microbiota associated with CDI have not been studied systematically. Here, we performed a comprehensive shotgun metagenomic sequencing in a well-characterized human cohort to reveal distinct patterns of gut microbiota and potential functional features associated with CDI. Fecal samples were collected from 104 inpatients, including : (1) patients with clinically significant diarrhea and positive nucleic acid amplification testing (NAAT) and received CDI treatment (CDI,  = 47); (2) patients with positive stool NAAT but without diarrhea (Carrier,  = 17); (3) patients with negative stool NAAT but with diarrhea (Diarrhea,  = 14); and (4) patients with negative stool NAAT and without diarrhea (Control,  = 26). Downstream statistical analyses (including alpha and beta diversity analysis, differential abundance analysis, correlation network analysis, and potential functional analysis) were then performed. The gut microbiota in the Control group showed higher Chao1 index ( < 0.05), while Shannon index at KEGG module level was higher in CDI than in Carrier and Control ( < 0.05). Beta diversity for species composition differed significantly between CDI vs Carrier/Control cohorts ( < 0.05). Microbial Linear discriminant analysis Effect Size and ANCOM analysis both identified 8 species (, and etc.) were enriched in CDI, was enriched in Diarrhea, , , and were enriched in Control (LDA >3.0, adjusted  < 0.05). Correlation network complexity was higher in CDI with more negative correlations than in other three cohorts. Modules involved in iron complex transport system (M00240) was enriched in CDI, ABC-2 type transport system (M00254), aminoacyl-tRNA biosynthesis (M00359), histidine biosynthesis (M00026) and inosine monophosphate biosynthesis (M00048) were enriched in Carrier, ribosome (M00178 and M00179) was enriched in Diarrhea, fluoroquinolone resistance (M00729) and aminoacyl-tRNA biosynthesis (M00360) were enriched in Control (LDA > 2.5, adjusted  < 0.05). Resistance functions of acriflavine and glycylcycline were enriched in CDI, while resistance function of bacitracin was enriched in Carrier (LDA > 3.0, adjusted  < 0.05), and the contributions of phylum and species to resistance functions differed among the four groups. Our results reveal alterations of gut microbiota composition and potential functions among four groups of differential colonization/infection status of . These findings support the potential roles of gut microbiota and their potential functions in the pathogenesis of CDI.

摘要

艰难梭菌感染(CDI)已被公认为医疗保健相关感染的主要原因,并且对全球公共卫生构成重大威胁。越来越多的证据表明,肠道微生物群在CDI的发病机制中起关键作用。与CDI相关的肠道微生物群的分类组成和功能能力尚未得到系统研究。在此,我们在一个特征明确的人类队列中进行了全面的鸟枪法宏基因组测序,以揭示与CDI相关的肠道微生物群的不同模式和潜在功能特征。从104名住院患者中收集粪便样本,包括:(1)具有临床意义的腹泻且核酸扩增检测(NAAT)呈阳性并接受CDI治疗的患者(CDI组,n = 47);(2)粪便NAAT呈阳性但无腹泻的患者(携带者组,n = 17);(3)粪便NAAT呈阴性但有腹泻的患者(腹泻组,n = 14);以及(4)粪便NAAT呈阴性且无腹泻的患者(对照组,n = 26)。然后进行了下游统计分析(包括α和β多样性分析、差异丰度分析、相关网络分析和潜在功能分析)。对照组的肠道微生物群显示出较高的Chao1指数(P < 0.05),而在KEGG模块水平上,CDI组的香农指数高于携带者组和对照组(P < 0.05)。CDI组与携带者/对照组之间的物种组成β多样性存在显著差异(P < 0.05)。微生物线性判别分析效应大小和ANCOM分析均确定8个物种(如……等)在CDI组中富集,……在腹泻组中富集,……、……、……和……在对照组中富集(线性判别分析效应大小>3.0,校正P < 0.05)。CDI组的相关网络复杂性更高,负相关性比其他三组更多。参与铁复合物转运系统(M00240)的模块在CDI组中富集,ABC-2型转运系统(M00254)、氨酰-tRNA生物合成(M00359)、组氨酸生物合成(M00026)和肌苷单磷酸生物合成(M00048)在携带者组中富集,核糖体(M00178和M00179)在腹泻组中富集,氟喹诺酮耐药性(M00729)和氨酰-tRNA生物合成(M00360)在对照组中富集(线性判别分析效应大小>2.5,校正P < 0.05)。吖啶黄和甘氨环素的耐药功能在CDI组中富集,而杆菌肽的耐药功能在携带者组中富集(线性判别分析效应大小>3.0,校正P < 0.05),并且四个组中门和物种对耐药功能的贡献有所不同。我们的结果揭示了四组不同定植/感染状态的……之间肠道微生物群组成和潜在功能的改变。这些发现支持了肠道微生物群及其潜在功能在CDI发病机制中的潜在作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cbe/12080279/585f702f19c8/KGMI_A_2505269_F0006_OC.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cbe/12080279/585f702f19c8/KGMI_A_2505269_F0006_OC.jpg

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