NGS-Based Insights into the Oral Microbiome and Glycemic Control in Pediatric Type 1 Diabetes Mellitus: A Literature Review

Introduction: Type 1 Diabetes Mellitus (T1DM) in children is associated with significant alterations in the oral microbiome that can influence glycemic control and oral health. This study aimed to synthesize current evidence on the composition of the oral microbiome in children with T1DM using Next-Generation Sequencing (NGS) and its association with glycemic parameters. Methods: A structured literature review was conducted on studies published between 2020 and 2025 that utilized 16S rRNA sequencing to compare the oral microbiome of children with T1DM and healthy controls. Results: Across the included studies, dysbiosis was consistently observed, characterized by increased pathogenic taxa (Prevotella, Veillonella) and decreased protective genera (Streptococcus), which correlated with elevated HbA1c levels and poor metabolic control. These findings suggest that hyperglycemia-driven shifts in the oral microbiome may exacerbate inflammation and oral disease risk, potentially forming a bidirectional relationship between glycemic regulation and microbial imbalance. Conclusion: Oral microbiome profiling shows promise as a non-invasive indicator of glycemic status in children with T1DM. Further standardized, longitudinal studies in local populations, particularly in Indonesia, are recommended to validate these findings and support the integration of oral microbiome monitoring into pediatric diabetes management.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-10-01
Primary Topic
Oral microbiology and periodontitis research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

NGS-Based Insights into the Oral Microbiome and Glycemic Control in Pediatric Type 1 Diabetes Mellitus: A Literature Review

SHILAP Revista de lepidopterología
Oral microbiology and periodontitis research
article

NGS-Based Insights into the Oral Microbiome and Glycemic Control in Pediatric Type 1 Diabetes Mellitus: A Literature Review

article en

Abstract

Introduction: Type 1 Diabetes Mellitus (T1DM) in children is associated with significant alterations in the oral microbiome that can influence glycemic control and oral health. This study aimed to synthesize current evidence on the composition of the oral microbiome in children with T1DM using Next-Generation Sequencing (NGS) and its association with glycemic parameters. Methods: A structured literature review was conducted on studies published between 2020 and 2025 that utilized 16S rRNA sequencing to compare the oral microbiome of children with T1DM and healthy controls. Results: Across the included studies, dysbiosis was consistently observed, characterized by increased pathogenic taxa (Prevotella, Veillonella) and decreased protective genera (Streptococcus), which correlated with elevated HbA1c levels and poor metabolic control. These findings suggest that hyperglycemia-driven shifts in the oral microbiome may exacerbate inflammation and oral disease risk, potentially forming a bidirectional relationship between glycemic regulation and microbial imbalance. Conclusion: Oral microbiome profiling shows promise as a non-invasive indicator of glycemic status in children with T1DM. Further standardized, longitudinal studies in local populations, particularly in Indonesia, are recommended to validate these findings and support the integration of oral microbiome monitoring into pediatric diabetes management.

SHILAP Revista de lepidopterología
Yarsi University (ID), University of Indonesia (ID)
No poverty
Openalex Percentile: Top 40%
Oral microbiology and periodontitis research
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.