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Related Concept Videos

The Oral Microbiota01:27

The Oral Microbiota

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The oral microbiome includes a complex ecosystem comprising over 700 microbial species, identified through genomic sequencing and culture-based analyses to date. This community includes a core microbiome, found universally among individuals, and a variable component influenced by environmental factors such as diet, lifestyle, and host genetics. Site-specific conditions, including oxygen gradients, pH levels, and nutrient availability, determine the spatial distribution of these microorganisms...
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Genome-wide Association Studies-GWAS01:11

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Causality in Epidemiology01:21

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Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
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Development of the Oral Microbiota01:28

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The establishment of the oral microbiome begins before birth, challenging the long-held belief that the fetal oral cavity is sterile. The presence of oral microbes such as Streptococcus and Fusobacterium in amniotic fluid suggests that microbial exposure may occur in utero, potentially through translocation from the maternal oral or gastrointestinal tract. This early colonization primes the neonatal immune system and sets the stage for subsequent microbial succession. Maternal health,...
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The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
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Related Experiment Video

Updated: Apr 25, 2026

Robust Ligature-Induced Model of Murine Periodontitis for the Evaluation of Oral Neutrophils
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Robust Ligature-Induced Model of Murine Periodontitis for the Evaluation of Oral Neutrophils

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Causal association between systemic diseases and periodontitis: a two-way two-sample Mendelian randomization study.

Liang Sun, Qin Zheng, Yuesen Hou

    Quintessence International (Berlin, Germany : 1985)
    |April 24, 2026
    PubMed
    Summary

    Periodontitis may increase osteoporosis risk, according to this study. This highlights oral health's systemic impact, suggesting periodontal care could aid osteoporosis management.

    Keywords:
    Mendelian randomization (MR)osteoporosisperiodontitissystemic diseases

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    Robust Ligature-Induced Model of Murine Periodontitis for the Evaluation of Oral Neutrophils
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    Murine Model of Advanced Periodontitis Induced by Nylon Ligature in the Second Upper Molar
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    Area of Science:

    • Genetics and Public Health
    • Oral and Systemic Disease Epidemiology

    Background:

    • The relationship between systemic diseases and periodontitis is complex and potentially bidirectional.
    • Confounding factors often obscure the true causal links between oral health and systemic conditions.

    Purpose of the Study:

    • To investigate the causal relationship between various systemic diseases and periodontitis using a bidirectional two-sample Mendelian randomization (MR) approach.
    • To explore whether periodontitis causally influences the risk of developing specific systemic diseases.

    Main Methods:

    • Utilized genome-wide association study (GWAS) summary statistics from large consortia (IEU OpenGWAS, FinnGen, GLIDE).
    • Employed inverse-variance weighted (IVW) MR as the primary method, supported by MR-Egger, weighted median, and weighted mode analyses.
    • Conducted sensitivity analyses (MR-PRESSO, MR-Egger intercept, Cochran's Q) to ensure result robustness and detect pleiotropy.

    Main Results:

    • Forward MR analysis found no significant causal effect of genetic liability to selected systemic diseases on periodontitis risk.
    • Reverse MR analysis revealed a significant causal link: periodontitis is a risk factor for osteoporosis (OR 1.16, P=0.031).
    • Sensitivity analyses confirmed the robustness of the periodontitis-osteoporosis association, with no significant horizontal pleiotropy detected.

    Conclusions:

    • This study provides novel evidence that periodontitis may causally increase the risk of osteoporosis.
    • Findings underscore the systemic implications of oral health and suggest periodontitis management as a potential osteoporosis prevention strategy.
    • Recommends integrating periodontal screening into osteoporosis risk assessment for enhanced early intervention and multidisciplinary care.