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

<i>Clostridioides difficile</i> 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, <i>n</i> = 47); (2) patients with positive stool NAAT but without diarrhea (Carrier, <i>n</i> = 17); (3) patients with negative stool NAAT but with diarrhea (Diarrhea, <i>n</i> = 14); and (4) patients with negative stool NAAT and without diarrhea (Control, <i>n</i> = 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 (<i>p</i> < 0.05), while Shannon index at KEGG module level was higher in CDI than in Carrier and Control (<i>p</i> < 0.05). Beta diversity for species composition differed significantly between CDI vs Carrier/Control cohorts (<i>p</i> < 0.05). Microbial Linear discriminant analysis Effect Size and ANCOM analysis both identified 8 species (<i>unclassified_f_Enterobacteriaceae, Veillonella_parvula</i>, <i>unclassified_g_Klebsiella</i> and etc.) were enriched in CDI, <i>Enterobacter_aerogenes</i> was enriched in Diarrhea, <i>Collinsella_aerofaciens</i>, <i>Collinsella_sp_4_8_47FAA</i>, <i>Collinsella_tanakaei</i> and <i>Collinsella_sp_CAG_166</i> were enriched in Control (LDA >3.0, adjusted <i>p</i> < 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 <i>p</i> < 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 <i>p</i> < 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 <i>Clostridioides difficile</i>. These findings support the potential roles of gut microbiota and their potential functions in the pathogenesis of CDI.

Authors

Institutions

Publication Details

Journal
Gut Microbes
Published
2025-05-14
DOI
https://doi.org/10.1080/19490976.2025.2505269
Citations
6
Primary Topic
Clostridium difficile and Clostridium perfringens research
Type
article
Field-Weighted Citation Impact
8.38

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Carolyn D. Alonso, Javier Villafuerte-Gálvez, La-Mei Wang, Hua Xu et al.
6 citations
Gut Microbes
Clostridium difficile and Clostridium perfringens research
8.38
article

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

Carolyn D. Alonso, Javier Villafuerte-Gálvez, La-Mei Wang, Hua Xu, Kaitlyn Daugherty, Dangdang Wang, Yangchun Cao, Nira R. Pollock, Yulin Chen, Xinhua Chen, Junhu Yao, Ciarán P. Kelly
article en
6 citations

Abstract

<i>Clostridioides difficile</i> 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, <i>n</i> = 47); (2) patients with positive stool NAAT but without diarrhea (Carrier, <i>n</i> = 17); (3) patients with negative stool NAAT but with diarrhea (Diarrhea, <i>n</i> = 14); and (4) patients with negative stool NAAT and without diarrhea (Control, <i>n</i> = 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 (<i>p</i> < 0.05), while Shannon index at KEGG module level was higher in CDI than in Carrier and Control (<i>p</i> < 0.05). Beta diversity for species composition differed significantly between CDI vs Carrier/Control cohorts (<i>p</i> < 0.05). Microbial Linear discriminant analysis Effect Size and ANCOM analysis both identified 8 species (<i>unclassified_f_Enterobacteriaceae, Veillonella_parvula</i>, <i>unclassified_g_Klebsiella</i> and etc.) were enriched in CDI, <i>Enterobacter_aerogenes</i> was enriched in Diarrhea, <i>Collinsella_aerofaciens</i>, <i>Collinsella_sp_4_8_47FAA</i>, <i>Collinsella_tanakaei</i> and <i>Collinsella_sp_CAG_166</i> were enriched in Control (LDA >3.0, adjusted <i>p</i> < 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 <i>p</i> < 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 <i>p</i> < 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 <i>Clostridioides difficile</i>. These findings support the potential roles of gut microbiota and their potential functions in the pathogenesis of CDI.

Gut MicrobesVol. 17(1)
Harvard University (US), Northwest A&F University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, National Institute of Diabetes and Digestive and Kidney Diseases
Zero hunger
Openalex Percentile: Top 2%
Clostridium difficile and Clostridium perfringens research
8.38
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.