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Assays for the Specific Growth Rate and Cell-binding Ability of Rotavirus
Published on: January 28, 2019
Early-Life Demographic Factors Shape Gut Microbiome Patterns Associated with Rotavirus Gastroenteritis Severity.
Eman R Abdelbary1, Mohammed Ramadan1, Ibrahim A Amin1
1Department of Microbiology and Immunology, Faculty of Pharmacy, Al-Azhar University, Assiut 71526, Egypt.
Early life factors like delivery mode and feeding method significantly alter infant gut bacteria, impacting rotavirus gastroenteritis (RVGE) severity. This highlights potential targets for microbiota-based interventions to improve RVGE outcomes.
Area of Science:
- Microbiome Research
- Pediatric Infectious Diseases
- Gut Health
Background:
- Rotavirus gastroenteritis (RVGE) is a major cause of infant diarrhea globally.
- The gut microbiome plays a role in RVGE, but its interaction with early-life factors and disease severity is unclear.
Purpose of the Study:
- To investigate how demographic determinants influence gut microbiome composition and function in RVGE.
- To determine the relationship between these microbiome features and RVGE clinical severity.
Main Methods:
- A case-control study involving 165 infants (120 RVGE cases, 45 controls) aged 0-12 months.
- Utilized 16S rRNA sequencing, statistical modeling, and machine learning.
- Analyzed the influence of demographic factors on microbiome composition and clinical outcomes.
Main Results:
- RVGE cases showed reduced bacterial diversity and distinct microbiome structures linked to dehydration severity.
- Beneficial bacteria (e.g., Akkermansia, Faecalibacterium, Bifidobacterium) were depleted, while inflammation-associated taxa (e.g., Escherichia-Shigella, Streptococcus) were enriched.
- Cesarean-delivered, formula-fed infants had dysbiotic microbiomes and longer hospitalizations compared to vaginally delivered, breastfed infants.
Conclusions:
- Early-life demographic factors shape the infant gut microbiome, influencing RVGE severity and recovery.
- Findings suggest potential biomarkers for risk stratification and targets for microbiota-based interventions in RVGE.
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