ArticleFrontiers in cellular and infection microbiology2022
Cross-Cohort Microbiome Analysis of Salivary Biomarkers in Patients With Type 2 Diabetes Mellitus.
Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Exploring oral microbiome in oral squamous cell carcinoma across environment-associated sample types.Microbiology spectrum · 2025Pooled it
- Advances in the study of oral microbiota in association with T2DM: a systematic review.Frontiers in cellular and infection microbiology · 2025Pooled it
- Oral microbiome classification of elevated salivary glucose in a large adolescent Kuwaiti population.Frontiers in microbiology · 2026Article
- Interconnected Mechanistic Pathways, Molecular Biomarkers, and Therapeutic Approach of Oral Cancer in Patients with Diabetes Mellitus.Current issues in molecular biology · 2025Review
- Salivary proteomics and metaproteomics identifies distinct molecular and taxonomic signatures of type-2 diabetes.Microbiome · 2025Article
- The Role of Oral Biomarkers in the Assessment of Noncommunicable Diseases.Diagnostics (Basel, Switzerland) · 2024Review
- Article
- Salivary Microbiota Associated with Peripheral Microvascular Endothelial Dysfunction.Journal of atherosclerosis and thrombosis · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Several studies have ascertained differences in salivary microbiota between patients with type 2 diabetes mellitus (T2DM) and healthy populations. However, the predictive accuracy and reproducibility of these 16S rRNA sequencing analyses when applied to other cohorts remain enigmatic. A comprehensive analysis was conducted on the included 470 samples from five researches in publicly available databases. The discrepancy and predictive accuracy of salivary microbiota between T2DM patients and healthy populations were evaluated from multiple perspectives, followed by the identification of salivary biomarkers for DM. Next, a classification model (areas under the curves = 0.92) was developed based on a large sample. The model could be used for clinical diagnosis and prognostic monitoring and as a basis for hypothesis-driven mechanistic researches. Furthermore, the research heterogeneity across geographic regions suggested that microbiological markers might not become a uniform clinical standard in human beings. They rather identify abnormal alterations under the microbiological characteristics of a specific population.
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Registered trials
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