ArticleInternational journal of environmental research and public health2021
Oral Bacterial Microbiomes in Association with Potential Prediabetes Using Different Criteria of Diagnosis.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Oral Manifestations of Prediabetes: A Narrative Review of an Early Diagnostic Window for Dental Practice.Cureus · 2026Review
- Longitudinal associations between PMFrontiers in cellular and infection microbiology · 2026Article
- Multi-omics approaches for biomarker discovery and precision diagnosis of prediabetes.Frontiers in endocrinology · 2025Review
- Salivary microbiota and IgA responses are different in pre-diabetic individuals compared to normoglycemic controls.Frontiers in cellular and infection microbiology · 2025Article
- A cross-cohort study identifies potential oral microbial markers for esophageal squamous cell carcinoma.iScience · 2024Article
- Oral microbiota in autistic children: Diagnosis-related differences and associations with clinical characteristics.Brain, behavior, & immunity - health · 2024Article
- Can salivary microbiome become a biodetector for type-2 diabetes? Opinion for future implications and strategies.Frontiers in nutrition · 2023Article
- Observation on clinical effect of Huoxue-Jiangtang decoction formula granules in treating prediabetes: a randomized prospective placebo-controlled double-blind trial protocol.BMC complementary medicine and therapies · 2022Article
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Authors and funding
8 authors.
Funding
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Abstract
This study aimed to find a potential biomarker that can be used to diagnose prediabetic condition by comparing the salivary bacterial microbiomes between Thai dental patients with normoglycemia (NG) and those with potential prediabetes (PPG) conditions. Thirty-three subjects were randomly recruited. Demographic data were collected along with oral examination and unstimulated salivary collections. The salivary bacterial microbiomes were identified by high-throughput sequencing on the V3-V4 region of the bacterial 16S rRNA gene. Microbiomes in this study were composed of 12 phyla, 19 classes, 29 orders, 56 families, 81 genera, and 184 species. To check the validity of the selection criterion for prediabetes, we adopted two separate criteria to divide samples into PPG and NG groups using glycated hemoglobin A1c (HbA1c) or fasting plasma glucose (FPG) levels. Using the HbA1c level resulted in the significant reduction of
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