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Time Series Analysis of the Microbiota of Children Suffering From Acute Infectious Diarrhea and Their Recovery After
Ener C Dinleyici1, Daniel Martínez-Martínez2, Ates Kara3
1Department of Pediatrics, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.
Insights
Probiotic treatment with Saccharomyces boulardii helped children recover from rotavirus diarrhea by restoring gut microbiota diversity. This study tracked microbiota changes over 30 days, revealing a shift from a diseased to a healthy state.
Area of Science:
- Microbiology
- Pediatrics
- Gastroenterology
Background:
- Acute infectious diarrhea is a major global health issue in children.
- Gut microbiota plays a crucial role in diarrhea and recovery.
- Understanding microbiota dynamics during recovery is clinically important.
Purpose of the Study:
- To correlate gut microbiota dynamics with the recovery of children suffering from rotavirus-induced acute infectious diarrhea.
- To evaluate the effect of Saccharomyces boulardii CNCM I-745 on microbiota recovery.
- To analyze temporal stability and composition changes in the gut microbiota during and after diarrhea.
Main Methods:
- Study included 10 children with rotavirus diarrhea and 6 healthy controls (3-4 years old).
- Rotavirus-infected children received Saccharomyces boulardii CNCM I-745 for 5 days.
- Fecal samples were collected at multiple time points (0, 3, 5, 10, 30 days) for 16S rRNA gene sequencing, diversity analysis, and dynamical analysis (Taylor's law).
Main Results:
- All rotavirus-infected children ceased diarrhea by day 3 post-intervention.
- Alpha diversity was low in the first 5 days, increasing by days 10 and 30.
- Gut microbiota composition differed between infected and healthy children initially, but normalized by the end of the study. Gammaproteobacteria abundance decreased with recovery.
Conclusions:
- Saccharomyces boulardii CNCM I-745 administration facilitated the transition of gut microbiota from a diseased to a healthy state in children with rotavirus diarrhea.
- Time-series analysis of gut microbiota is crucial for understanding and characterizing dysbiosis related to diarrhea.
- The study provides valuable clinical insights into microbiota recovery dynamics post-diarrhea.
Abstract:
Gut microbiota is closely related to acute infectious diarrhea, one of the leading causes of mortality and morbidity in children worldwide. Understanding the dynamics of the recovery from this disease is of clinical interest. This work aims to correlate the dynamics of gut microbiota with the evolution of children who were suffering from acute infectious diarrhea caused by a rotavirus, and their recovery after the administration of a probiotic, Saccharomyces boulardii CNCM I-745. The experiment involved 10 children with acute infectious diarrhea caused by a rotavirus, and six healthy children, all aged between 3 and 4 years. The children who suffered the rotavirus infection received S. boulardii CNCM I-745 twice daily for the first 5 days of the experiment. Fecal samples were collected from each participant at 0, 3, 5, 10, and 30 days after probiotic administration. Microbial composition was characterized by 16S rRNA gene sequencing. Alpha and beta diversity were calculated, along with dynamical analysis based on Taylor's law to assess the temporal stability of the microbiota. All children infected with the rotavirus stopped having diarrhea at day 3 after the intervention. We observed low alpha diversities in the first 5 days (p-value < 0.05, Wilcoxon test), larger at 10 and 30 days after probiotic treatment. Canonical correspondence analysis (CCA) showed differences in the gut microbiota of healthy children and of those who suffered from acute diarrhea in the first days (p-value < 0.05, ADONIS test), but not in the last days of the experiment. Temporal variability was larger in children infected with the rotavirus than in healthy ones. In particular, Gammaproteobacteria class was found to be abundant in children with acute diarrhea. We identified the microbiota transition from a diseased state to a healthy one with time, whose characterization may lead to relevant clinical data. This work highlights the importance of using time series for the study of dysbiosis related to diarrhea.
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