Dynamics of the gut microbiome in subjects challenged with Shigella sonnei 53G in a controlled human infection model

Diarrheal disease is a major contributor to the global disease burden and can lead to an increased individual risk of chronic sequelae post-infection, such as irritable bowel syndrome, reactive arthritis, and altered gut permeability. Understanding the differential responses of individuals to entero...

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Published inmSphere Vol. 10; no. 4; p. e0090624
Main Authors Liechty, Zachary, Baldwin, Arianna, Isidean, Sandra, Suvarnapunya, Akamol, Frenck, Robert, Porter, Chad, Goodson, Michael
Format Journal Article
LanguageEnglish
Published United States American Society for Microbiology 29.04.2025
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ISSN2379-5042
2379-5042
DOI10.1128/msphere.00906-24

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Abstract Diarrheal disease is a major contributor to the global disease burden and can lead to an increased individual risk of chronic sequelae post-infection, such as irritable bowel syndrome, reactive arthritis, and altered gut permeability. Understanding the differential responses of individuals to enteropathogen exposure can elucidate factors that could lead to treatments or preventative measures to reduce the disease burden. Here, we use a controlled human infection model study to directly identify the effects of Shigella sonnei 53G infection on the microbiome. We identified taxa that were more or less abundant in participants who would develop shigellosis during the study, as well as persistent changes after recovery in the microbiomes of participants who developed severe symptoms. Understanding these changes could elucidate ways to prevent Shigella infection or recover altered microbiomes after recovery. This study is registered with ClinicalTrials.gov as NCT02816346 .
AbstractList Shigella is a significant cause of diarrhea, predominantly affecting children in low- and middle-income countries, as well as international travelers. Not all individuals exposed to Shigella or other enteropathogens have symptomatic responses, and investigating the differences between symptomatic and asymptomatic individuals can further our understanding of enteropathogen proliferation and symptomatic responses. Here, we profiled the fecal microbiomes of 45 individuals infected with Shigella sonnei strain 53G through 16S rRNA sequencing in a controlled human infection model before and during infection, after antibiotic treatment, and after clinical recovery. This model allowed for a detailed exploration of microbiome temporal dynamics during infection, as well as a comparative analysis between those with shigellosis (defined as severe symptoms caused by Shigella infection, including severe diarrhea, fever, and/or abdominal pain) and those without shigellosis. Alpha diversity decreased to a greater degree in individuals with shigellosis. Perturbations in microbial composition during infection and antibiotic treatment were significantly larger in individuals diagnosed with shigellosis than in those who were not. Participants with shigellosis had persistent changes to their microbiomes after recovery, while those without shigellosis recovered to a composition resembling their pre-infection microbiomes. These persistent changes included taxa associated with gut inflammation, such as a decrease in Faecalibacterium and an increase in Ruminococcus gnavus . Furthermore, the initial microbiomes of participants who did not develop shigellosis had a greater abundance of taxa associated with short-chain fatty acid production than participants who did develop shigellosis, including Bifidobacterium , Roseburia , and Faecalibacterium . These data could help prevent Shigella infection or symptoms.
ABSTRACT Shigella is a significant cause of diarrhea, predominantly affecting children in low- and middle-income countries, as well as international travelers. Not all individuals exposed to Shigella or other enteropathogens have symptomatic responses, and investigating the differences between symptomatic and asymptomatic individuals can further our understanding of enteropathogen proliferation and symptomatic responses. Here, we profiled the fecal microbiomes of 45 individuals infected with Shigella sonnei strain 53G through 16S rRNA sequencing in a controlled human infection model before and during infection, after antibiotic treatment, and after clinical recovery. This model allowed for a detailed exploration of microbiome temporal dynamics during infection, as well as a comparative analysis between those with shigellosis (defined as severe symptoms caused by Shigella infection, including severe diarrhea, fever, and/or abdominal pain) and those without shigellosis. Alpha diversity decreased to a greater degree in individuals with shigellosis. Perturbations in microbial composition during infection and antibiotic treatment were significantly larger in individuals diagnosed with shigellosis than in those who were not. Participants with shigellosis had persistent changes to their microbiomes after recovery, while those without shigellosis recovered to a composition resembling their pre-infection microbiomes. These persistent changes included taxa associated with gut inflammation, such as a decrease in Faecalibacterium and an increase in Ruminococcus gnavus. Furthermore, the initial microbiomes of participants who did not develop shigellosis had a greater abundance of taxa associated with short-chain fatty acid production than participants who did develop shigellosis, including Bifidobacterium, Roseburia, and Faecalibacterium. These data could help prevent Shigella infection or symptoms.IMPORTANCEDiarrheal disease is a major contributor to the global disease burden and can lead to an increased individual risk of chronic sequelae post-infection, such as irritable bowel syndrome, reactive arthritis, and altered gut permeability. Understanding the differential responses of individuals to enteropathogen exposure can elucidate factors that could lead to treatments or preventative measures to reduce the disease burden. Here, we use a controlled human infection model study to directly identify the effects of Shigella sonnei 53G infection on the microbiome. We identified taxa that were more or less abundant in participants who would develop shigellosis during the study, as well as persistent changes after recovery in the microbiomes of participants who developed severe symptoms. Understanding these changes could elucidate ways to prevent Shigella infection or recover altered microbiomes after recovery.CLINICAL TRIALSThis study is registered with ClinicalTrials.gov as NCT02816346.
Diarrheal disease is a major contributor to the global disease burden and can lead to an increased individual risk of chronic sequelae post-infection, such as irritable bowel syndrome, reactive arthritis, and altered gut permeability. Understanding the differential responses of individuals to enteropathogen exposure can elucidate factors that could lead to treatments or preventative measures to reduce the disease burden. Here, we use a controlled human infection model study to directly identify the effects of Shigella sonnei 53G infection on the microbiome. We identified taxa that were more or less abundant in participants who would develop shigellosis during the study, as well as persistent changes after recovery in the microbiomes of participants who developed severe symptoms. Understanding these changes could elucidate ways to prevent Shigella infection or recover altered microbiomes after recovery. This study is registered with ClinicalTrials.gov as NCT02816346 .
Shigella is a significant cause of diarrhea, predominantly affecting children in low- and middle-income countries, as well as international travelers. Not all individuals exposed to Shigella or other enteropathogens have symptomatic responses, and investigating the differences between symptomatic and asymptomatic individuals can further our understanding of enteropathogen proliferation and symptomatic responses. Here, we profiled the fecal microbiomes of 45 individuals infected with Shigella sonnei strain 53G through 16S rRNA sequencing in a controlled human infection model before and during infection, after antibiotic treatment, and after clinical recovery. This model allowed for a detailed exploration of microbiome temporal dynamics during infection, as well as a comparative analysis between those with shigellosis (defined as severe symptoms caused by Shigella infection, including severe diarrhea, fever, and/or abdominal pain) and those without shigellosis. Alpha diversity decreased to a greater degree in individuals with shigellosis. Perturbations in microbial composition during infection and antibiotic treatment were significantly larger in individuals diagnosed with shigellosis than in those who were not. Participants with shigellosis had persistent changes to their microbiomes after recovery, while those without shigellosis recovered to a composition resembling their pre-infection microbiomes. These persistent changes included taxa associated with gut inflammation, such as a decrease in Faecalibacterium and an increase in Ruminococcus gnavus. Furthermore, the initial microbiomes of participants who did not develop shigellosis had a greater abundance of taxa associated with short-chain fatty acid production than participants who did develop shigellosis, including Bifidobacterium, Roseburia, and Faecalibacterium. These data could help prevent Shigella infection or symptoms.IMPORTANCEDiarrheal disease is a major contributor to the global disease burden and can lead to an increased individual risk of chronic sequelae post-infection, such as irritable bowel syndrome, reactive arthritis, and altered gut permeability. Understanding the differential responses of individuals to enteropathogen exposure can elucidate factors that could lead to treatments or preventative measures to reduce the disease burden. Here, we use a controlled human infection model study to directly identify the effects of Shigella sonnei 53G infection on the microbiome. We identified taxa that were more or less abundant in participants who would develop shigellosis during the study, as well as persistent changes after recovery in the microbiomes of participants who developed severe symptoms. Understanding these changes could elucidate ways to prevent Shigella infection or recover altered microbiomes after recovery.CLINICAL TRIALSThis study is registered with ClinicalTrials.gov as NCT02816346.
is a significant cause of diarrhea, predominantly affecting children in low- and middle-income countries, as well as international travelers. Not all individuals exposed to or other enteropathogens have symptomatic responses, and investigating the differences between symptomatic and asymptomatic individuals can further our understanding of enteropathogen proliferation and symptomatic responses. Here, we profiled the fecal microbiomes of 45 individuals infected with strain 53G through 16S rRNA sequencing in a controlled human infection model before and during infection, after antibiotic treatment, and after clinical recovery. This model allowed for a detailed exploration of microbiome temporal dynamics during infection, as well as a comparative analysis between those with shigellosis (defined as severe symptoms caused by infection, including severe diarrhea, fever, and/or abdominal pain) and those without shigellosis. Alpha diversity decreased to a greater degree in individuals with shigellosis. Perturbations in microbial composition during infection and antibiotic treatment were significantly larger in individuals diagnosed with shigellosis than in those who were not. Participants with shigellosis had persistent changes to their microbiomes after recovery, while those without shigellosis recovered to a composition resembling their pre-infection microbiomes. These persistent changes included taxa associated with gut inflammation, such as a decrease in and an increase in . Furthermore, the initial microbiomes of participants who did not develop shigellosis had a greater abundance of taxa associated with short-chain fatty acid production than participants who did develop shigellosis, including , , and . These data could help prevent infection or symptoms.IMPORTANCEDiarrheal disease is a major contributor to the global disease burden and can lead to an increased individual risk of chronic sequelae post-infection, such as irritable bowel syndrome, reactive arthritis, and altered gut permeability. Understanding the differential responses of individuals to enteropathogen exposure can elucidate factors that could lead to treatments or preventative measures to reduce the disease burden. Here, we use a controlled human infection model study to directly identify the effects of 53G infection on the microbiome. We identified taxa that were more or less abundant in participants who would develop shigellosis during the study, as well as persistent changes after recovery in the microbiomes of participants who developed severe symptoms. Understanding these changes could elucidate ways to prevent infection or recover altered microbiomes after recovery.CLINICAL TRIALSThis study is registered with ClinicalTrials.gov as NCT02816346.
Shigella is a significant cause of diarrhea, predominantly affecting children in low- and middle-income countries, as well as international travelers. Not all individuals exposed to Shigella or other enteropathogens have symptomatic responses, and investigating the differences between symptomatic and asymptomatic individuals can further our understanding of enteropathogen proliferation and symptomatic responses. Here, we profiled the fecal microbiomes of 45 individuals infected with Shigella sonnei strain 53G through 16S rRNA sequencing in a controlled human infection model before and during infection, after antibiotic treatment, and after clinical recovery. This model allowed for a detailed exploration of microbiome temporal dynamics during infection, as well as a comparative analysis between those with shigellosis (defined as severe symptoms caused by Shigella infection, including severe diarrhea, fever, and/or abdominal pain) and those without shigellosis. Alpha diversity decreased to a greater degree in individuals with shigellosis. Perturbations in microbial composition during infection and antibiotic treatment were significantly larger in individuals diagnosed with shigellosis than in those who were not. Participants with shigellosis had persistent changes to their microbiomes after recovery, while those without shigellosis recovered to a composition resembling their pre-infection microbiomes. These persistent changes included taxa associated with gut inflammation, such as a decrease in Faecalibacterium and an increase in Ruminococcus gnavus. Furthermore, the initial microbiomes of participants who did not develop shigellosis had a greater abundance of taxa associated with short-chain fatty acid production than participants who did develop shigellosis, including Bifidobacterium, Roseburia, and Faecalibacterium. These data could help prevent Shigella infection or symptoms.IMPORTANCEDiarrheal disease is a major contributor to the global disease burden and can lead to an increased individual risk of chronic sequelae post-infection, such as irritable bowel syndrome, reactive arthritis, and altered gut permeability. Understanding the differential responses of individuals to enteropathogen exposure can elucidate factors that could lead to treatments or preventative measures to reduce the disease burden. Here, we use a controlled human infection model study to directly identify the effects of Shigella sonnei 53G infection on the microbiome. We identified taxa that were more or less abundant in participants who would develop shigellosis during the study, as well as persistent changes after recovery in the microbiomes of participants who developed severe symptoms. Understanding these changes could elucidate ways to prevent Shigella infection or recover altered microbiomes after recovery.CLINICAL TRIALSThis study is registered with ClinicalTrials.gov as NCT02816346.Shigella is a significant cause of diarrhea, predominantly affecting children in low- and middle-income countries, as well as international travelers. Not all individuals exposed to Shigella or other enteropathogens have symptomatic responses, and investigating the differences between symptomatic and asymptomatic individuals can further our understanding of enteropathogen proliferation and symptomatic responses. Here, we profiled the fecal microbiomes of 45 individuals infected with Shigella sonnei strain 53G through 16S rRNA sequencing in a controlled human infection model before and during infection, after antibiotic treatment, and after clinical recovery. This model allowed for a detailed exploration of microbiome temporal dynamics during infection, as well as a comparative analysis between those with shigellosis (defined as severe symptoms caused by Shigella infection, including severe diarrhea, fever, and/or abdominal pain) and those without shigellosis. Alpha diversity decreased to a greater degree in individuals with shigellosis. Perturbations in microbial composition during infection and antibiotic treatment were significantly larger in individuals diagnosed with shigellosis than in those who were not. Participants with shigellosis had persistent changes to their microbiomes after recovery, while those without shigellosis recovered to a composition resembling their pre-infection microbiomes. These persistent changes included taxa associated with gut inflammation, such as a decrease in Faecalibacterium and an increase in Ruminococcus gnavus. Furthermore, the initial microbiomes of participants who did not develop shigellosis had a greater abundance of taxa associated with short-chain fatty acid production than participants who did develop shigellosis, including Bifidobacterium, Roseburia, and Faecalibacterium. These data could help prevent Shigella infection or symptoms.IMPORTANCEDiarrheal disease is a major contributor to the global disease burden and can lead to an increased individual risk of chronic sequelae post-infection, such as irritable bowel syndrome, reactive arthritis, and altered gut permeability. Understanding the differential responses of individuals to enteropathogen exposure can elucidate factors that could lead to treatments or preventative measures to reduce the disease burden. Here, we use a controlled human infection model study to directly identify the effects of Shigella sonnei 53G infection on the microbiome. We identified taxa that were more or less abundant in participants who would develop shigellosis during the study, as well as persistent changes after recovery in the microbiomes of participants who developed severe symptoms. Understanding these changes could elucidate ways to prevent Shigella infection or recover altered microbiomes after recovery.CLINICAL TRIALSThis study is registered with ClinicalTrials.gov as NCT02816346.
Author Goodson, Michael
Porter, Chad
Baldwin, Arianna
Isidean, Sandra
Liechty, Zachary
Suvarnapunya, Akamol
Frenck, Robert
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Snippet Diarrheal disease is a major contributor to the global disease burden and can lead to an increased individual risk of chronic sequelae post-infection, such as...
is a significant cause of diarrhea, predominantly affecting children in low- and middle-income countries, as well as international travelers. Not all...
Shigella is a significant cause of diarrhea, predominantly affecting children in low- and middle-income countries, as well as international travelers. Not all...
Shigella is a significant cause of diarrhea, predominantly affecting children in low- and middle-income countries, as well as international travelers. Not all...
ABSTRACT Shigella is a significant cause of diarrhea, predominantly affecting children in low- and middle-income countries, as well as international travelers....
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SubjectTerms 16S rRNA
Adult
Anti-Bacterial Agents - therapeutic use
Bacteria - classification
Bacteria - genetics
Bacteria - isolation & purification
controlled human infection model
diarrhea
Dysentery, Bacillary - drug therapy
Dysentery, Bacillary - microbiology
fecal microbiome
Feces - microbiology
Female
Gastrointestinal Microbiome - drug effects
Human Microbiome
Humans
Male
Middle Aged
Research Article
RNA, Ribosomal, 16S - genetics
Shigella
Shigella sonnei - genetics
Young Adult
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Title Dynamics of the gut microbiome in subjects challenged with Shigella sonnei 53G in a controlled human infection model
URI https://www.ncbi.nlm.nih.gov/pubmed/40152601
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Volume 10
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