Evidence map›Paper›PMID 40948984›Full record

ArticleThe EPMA journal2025

Systemic inflammation at the oral-ocular interface: a 3P medicine perspective on the relationship between periodontitis and eye diseases.

Ein Oh, Ji Hoon Jun, Joon Yul Choi, Tae Keun Yoo

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Article in The EPMA journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ein OhDepartment of Anesthesiology and Pain Medicine, Tang Gle Plastic Surgery Clinic, Seoul, South Korea.
Ji Hoon JunDepartment of Prosthodontics, Seoul Jeseng Dental Clinic, Seoul, South Korea.ORCID 0000-0001-8017-2088
Joon Yul ChoiDepartment of Biomedical Engineering, Yonsei University, Wonju, South Korea.
Tae Keun YooDepartment of Ophthalmology, Hangil Eye Hospital, Incheon, South Korea.ORCID 0000-0003-0890-8614

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale and Purpose: Periodontitis is a common source of chronic systemic inflammation, driven by bacterial translocation and cytokine release through ulcerated gingival epithelium, and may contribute to the development of various chronic ocular diseases. This study investigated the association between periodontitis and multiple ocular conditions, interpreting the findings within the framework of Predictive, Preventive, and Personalized Medicine (3PM). Working Hypothesis and Methods: We hypothesized that periodontitis, as a treatable inflammatory condition, serves as a predictive marker and modifiable risk factor for ocular diseases involving vascular and immune-mediated mechanisms. Data from 11,448 adults aged ≥ 40 years from the Korea National Health and Nutrition Examination Survey (2008-2010) were analyzed. Periodontal status was classified using the Community Periodontal Index (CPI): no periodontitis (CPI ≤ 2), moderate (CPI = 3), and severe (CPI = 4). Ophthalmologists assessed ocular diseases, including cataract, pterygium, diabetic retinopathy, glaucoma suspect, blepharoptosis, and age-related macular degeneration (AMD), using standardized diagnostic protocols. Multivariable logistic regression adjusted for key covariates, and Pearson correlation analysis was conducted. Results: Periodontitis was independently associated with higher risks of cataract (adjusted OR = 1.26), diabetic retinopathy (OR = 1.66), pterygium (OR = 1.22), glaucoma suspect (OR = 1.10), and blepharoptosis (OR = 1.16). These associations were more pronounced in individuals with severe periodontitis. No significant association was observed with early or late AMD. CPI scores showed weak but significant positive correlations with several ocular conditions, particularly cataract and diabetic retinopathy. Conclusions and Expert Recommendations in the Framework of 3PM: Periodontitis may serve as a predictive biomarker for ocular diseases with shared inflammatory and vascular pathways. Early identification and management of periodontal disease offer a targeted preventive strategy to reduce systemic inflammatory burden and ocular comorbidities. Personalized care models incorporating periodontal status into ocular screening protocols may improve diagnostic precision and enable risk-adapted interventions. These findings support the integration of oral health into multidisciplinary care frameworks, advancing the paradigm shift from reactive to predictive and personalized ophthalmology.

Indexed as

BlepharoptosisCataractDiabetic retinopathyGaucomaHealth risk assessmentHolistic approachOcular diseasesOral healthPeriodontitisPredictive Preventive Personalized Medicine (3P medicine)PterygiumSystemic inflammation

Identifiers

PMID40948984
PMCPMC12423021

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.