Evidence map›Paper›PMID 41085750›Full record

ArticleClinical oral investigations2025

Analysis of the correlation between glycemic variability indices and disease severity as well as inflammatory status in patients with type 2 diabetes mellitus and periodontitis.

Long Zhang, Yike Ding, Baorong Zhang, Xuegang Hu

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In one paragraph

Article in Clinical oral investigations, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07175701 (Effects of Ultra-processed Food Reduction Intervention on Postprandial Glucose and Glycemic Variability in Korean Young Adults), which is not on this map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

The trial behind it

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.

NCT07175701 narecruitingnot on this map

Effects of Ultra-processed Food Reduction Intervention on Postprandial Glucose and Glycemic Variability in Korean Young Adults: Study Protocol for the ULTRA-CGM Randomized Controlled Trial

TypeinterventionalSponsorKorea UniversityRan2025 to 2026Enrolled50ConditionsPostprandial Glucose, Glucose Levels, HyperglycemiasArms40-minute one-on-one dietary counseling and nutrition education aimed at reducing ultra-processed food consumption, Standard dietary counseling and nutrition education based on national guidelines
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Regenerative biomaterials · 2025
    Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Long ZhangDepartment of Stomatology, Shenzhen Guangming District People's Hospital, Shenzhen, Guangdong, 518000, China. 15652887031@163.com.
Yike DingDepartment of Stomatology, Shenzhen Guangming District People's Hospital, Shenzhen, Guangdong, 518000, China.
Baorong ZhangDepartment of Stomatology, Beijing Aviation General Hospital, Beijing, 100012, China.
Xuegang HuDepartment of Stomatology, Shenzhen Guangming District People's Hospital, Shenzhen, Guangdong, 518000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe interaction between type 2 diabetes mellitus (T2DM) and periodontitis is a growing research focus, with glycemic variability potentially playing a critical role in the pathophysiology and severity of periodontal disease in T2DM patients. This study aims to evaluate the association between glycemic variability, inflammatory markers, and the occurrence and severity of periodontitis in patients with T2DM.

methodsA retrospective case-control study included 296 T2DM patients admitted between February 2020 and November 2023. Patients were screened based on demographic and clinical criteria, segregating into non-periodontitis (n = 83) and periodontitis (n = 213) groups. Periodontal status was categorized using American Academy of Periodontology guidelines into non-severe (n = 131) and severe (n = 82) groups. Glycemic variability indices including average blood glucose, coefficient of variation (CV), standard deviation (SD), and mean amplitude of glycemic excursions (MAGE) were measured using continuous glucose monitoring systems. Inflammatory markers, including interleukin-1 (IL-1), interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α), were quantified in gingival crevicular fluid (GCF) using enzyme-linked immunosorbent assay. Statistical analyses included multivariate logistic regression and correlation analyses.

resultsIncreased glycemic variability was significantly correlated with the presence and severity of periodontitis (P < 0.05). T2DM patients with periodontitis exhibited higher levels of inflammatory markers IL-1, IL-6, and TNF-α. Multivariate logistic regression identified SD (OR = 2.046, 95% CI: 1.324-3.162), CV (OR = 1.054, 95% CI: 1.008-1.102), and MAGE (OR = 1.368, 95% CI: 1.097-1.706) as significant predictors for periodontitis occurrence in T2DM patients. IL-6 and TNF-α showed strong interrelationships and correlations with glycemic indices.

conclusionGlycemic variability significantly influences the occurrence and severity of periodontitis in T2DM patients. This relationship is mediated through enhanced inflammatory responses, suggesting potential pathways linking glycemic instability to periodontal deterioration. The findings underscore the importance of glycemic control in managing periodontal health in T2DM, proposing glycemic variability as a target for therapeutic interventions to mitigate the risk and progression of periodontitis.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2Glycemic IndexPeriodontitisAdultAgedBiomarkersCase-Control StudiesFemaleGingival Crevicular FluidHumansInterleukin-6MaleMiddle AgedRetrospective StudiesSeverity of Illness IndexBiomarkersBlood GlucoseInterleukin-6Tumor Necrosis Factor-alphaBlood glucose variability coefficientInflammatory factorsPeriodontitisType 2 diabetes mellitus

Identifiers

PMID41085750

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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 Socratic graph.