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Influence of the Gut Microbiome on Body Composition and Metabolic Risk in Indian Children with Type 1 Diabetes
Vaishali Tamhane1, Nikhil Shah2, Anuradha V Khadilkar3
1Department of Research, Hirabai Cowasji Jehangir Medical Research Institute (HCJMRI), Pune, Maharashtra, India.
Insights
Gut microbiome differs in children with Type 1 diabetes (T1DM) based on metabolic risks. This study highlights variations in gut flora composition, crucial for understanding T1DM complications.
Area of Science:
- Microbiology
- Pediatric Endocrinology
- Metabolic Disorders
Background:
- Type 1 diabetes (T1DM) management is complex, with metabolic risks (MR) influencing disease progression.
- Gut microbiome alterations are increasingly linked to metabolic health and autoimmune conditions like T1DM.
Purpose of the Study:
- To investigate gut flora differences in children with T1DM.
- To compare gut microbiome composition between T1DM children with and without metabolic risks.
Main Methods:
- Cross-sectional observational study of 68 children with T1DM.
- Analysis of gut microbiome using 16S rRNA gene sequencing on stool samples.
- Assessment of clinical history, anthropometry, biochemical markers, and body composition.
Main Results:
- Significant differences in gut microbiome composition were found at family and genera levels.
- Variations were observed between T1DM children with metabolic risks versus those without.
Conclusions:
- Gut microbiome composition significantly differs between T1DM children with and without metabolic risks.
- These findings underscore the role of gut flora in T1DM-associated metabolic complications.
Introduction:
The study aims to explore the gut flora presentation among Type 1 DM children with and without metabolic risks (MR) at a tertiary care center.
Materials And Methods:
A cross-sectional, observational study was conducted on children with T1DM (n = 68, mean-age = 12.9 years, disease-duration = 5.5 years, average HbA1c = 9.8%) divided into two groups based on with (n = 35) and without (n = 33) metabolic risk factors. Clinical-history, anthropometry, biochemical investigations, and body composition analysis was performed. Stool samples were collected; DNA extraction and targeted 16srRNA gene amplicon sequencing was performed.
Results:
Significant differences were observed in the relative abundance of gut microbiome at the family and genera level in children with metabolic risk as compared to without metabolic risk.
Conclusion:
Gut microbiome significantly differs in children with or without MR among T1DM cases.
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