Periodontal health in a cohort of subjects with type 1 diabetes mellitus

Periodontal status and risk factors in patients with type 1 diabetes mellitus

OBJECTIVE

Conduct a cross-sectional study to investigate the periodontal conditions and oral health behaviours among adult subjects with type one diabetes mellitus and compare them with those of a group of age- and gender-matched without diabetes. Furthermore, we also intend to evaluate the potential indicators of the risk for the development of periodontal disease.

METHODS

The evaluation was undertaken with patients with diabetes (n = 70) from a patients' cohort of the the Hospitalar Center of Tâmega e Sousa and subjects without diabetes (n = 69).

RESULTS

The prevalence of periodontal disease showed significant differences between groups. Gingivitis reached a prevalence of 37.1% in patients with type one diabetes mellitus and periodontitis 55.7%. These systemically compromised patients exhibited a higher prevalence of Plaque Index, Bleeding on Probing and Periodontal Probing Depth and a reduced number of teeth when compared to the control group. The stage II was the most prevalent in the diabetes population, followed by the stage IV and most of diabetes subjects presented grade C progression.

CONCLUSIONS

There is a higher prevalence of periodontal disease in type one diabetes mellitus individuals when compared to the controls. Age, Bleeding on Probing and number of cigarettes per day are associated with higher risk of periodontal disease in type one diabetes mellitus patients.

CLINICAL RELEVANCE

Our study provides evidence about the prevalence of periodontal disease among type 1 diabetes mellitus and creates awareness regarding the factors that potentially contribute to worsening periodontal tissues. Furthermore, informing diabetic patients about the importance of early diagnosis and prevention of periodontal disease and the importance of reducing/quitting smoking.

Connection between oral health and chronic diseases

Chronic diseases have emerged as a paramount global health burden, accounting for 74% of global mortality and causing substantial economic losses. The oral cavity serves as a critical indicator of overall health and is inextricably linked to chronic disorders. Neglecting oral health can exacerbate localized pathologies and accelerate the progression of chronic conditions, whereas effective management has the potential to reduce their incidence and mortality. Nevertheless, limited resources and lack of awareness often impede timely dental intervention, delaying optimal therapeutic measures. This review provides a comprehensive analysis of the impact of prevalent chronic diseases-such as diabetes mellitus, rheumatoid arthritis, cardiovascular disorders, and chronic respiratory diseases-on oral health, along with an exploration of how changes in oral health affect these chronic conditions through both deterioration and intervention mechanisms. Additionally, novel insights into the underlying pathophysiological mechanisms governing these relationships are presented. By synthesizing these advancements, this review aims to illuminate the complex interrelationship between oral health and chronic diseases while emphasizing the urgent need for greater collaboration between dental practitioners and general healthcare providers to improve overall health outcomes.

An Umbrella Review of the Association Between Periodontal Disease and Diabetes Mellitus

AIM

To determine the clinical association between periodontal disease and diabetes mellitus through an umbrella review.

MATERIALS AND METHODS

A search for publications up to August 2023 was conducted using the following electronic databases: PubMed, Cochrane Database, Scopus, SciELO, Google Scholar, and OpenGrey. We included systematic reviews (SRs) with or without meta-analysis evaluating primary studies that investigated the association between periodontal disease and diabetes mellitus, and there were no time or language restrictions. Literature or narrative reviews, rapid reviews, intervention studies, observational studies, preclinical and basic research, abstracts, comments, case reports, protocols, personal opinions, letters, and posters were excluded. The AMSTAR-2 tool was used to determine the methodological quality of the included studies.

RESULTS

The preliminary search yielded a total of 577 articles, of which only 17 remained after discarding those that did not meet the selection criteria. Following their analysis, an association between periodontal disease and diabetes mellitus (type 1 and type 2 diabetes mellitus and gestational diabetes mellitus) was found.

CONCLUSIONS

The findings and conclusions of this umbrella review indicate with high confidence that periodontal disease is associated with the onset of type 1 and type 2 diabetes mellitus and gestational diabetes.

Investigating the Interplay: Periodontal Disease and Type 1 Diabetes Mellitus-A Comprehensive Review of Clinical Studies

Diabetes mellitus (DM) poses a significant challenge to global health, with its prevalence projected to rise dramatically by 2045. This narrative review explores the bidirectional relationship between periodontitis (PD) and type 1 diabetes mellitus (T1DM), focusing on cellular and molecular mechanisms derived from the interplay between oral microbiota and the host immune response. A comprehensive search of studies published between 2008 and 2023 was conducted to elucidate the association between these two diseases. Preclinical and clinical evidence suggests a bidirectional relationship, with individuals with T1DM exhibiting heightened susceptibility to periodontitis, and vice versa. The review includes recent findings from human clinical studies, revealing variations in oral microbiota composition in T1DM patients, including increases in certain pathogenic species such as Porphyromonas gingivalis, Prevotella intermedia, and Aggregatibacter actinomycetemcomitans, along with shifts in microbial diversity and abundance. Molecular mechanisms underlying this association involve oxidative stress and dysregulated host immune responses, mediated by inflammatory cytokines such as IL-6, IL-8, and MMPs. Furthermore, disruptions in bone turnover markers, such as RANKL and OPG, contribute to periodontal complications in T1DM patients. While preventive measures to manage periodontal complications in T1DM patients may improve overall health outcomes, further research is needed to understand the intricate interactions between oral microbiota, host response, periodontal disease, and systemic health in this population.

Microbiome-targeted interventions for the control of oral-gut dysbiosis and chronic systemic inflammation

Recent research has confirmed the strong connection between imbalances in the oral and gut microbiome (oral-gut dysbiosis), periodontitis, and inflammatory conditions such as diabetes, Alzheimer's disease, and cardiovascular diseases. Microbiome modulation is crucial for preventing and treating several autoimmune and inflammatory diseases, including periodontitis. However, the causal relationships between the microbiome and its derived metabolites that mediate periodontitis and chronic inflammation constitute a notable knowledge gap. Here we review the mechanisms involved in the microbiome-host crosstalk, and describe novel precision medicine for the control of systemic inflammation. As microbiome-targeted therapies begin to enter clinical trials, the success of these approaches relies upon understanding these reciprocal microbiome-host interactions, and it may provide new therapeutic avenues to reduce the risk of periodontitis-associated diseases.

Periodontal Disease and Its Association with Metabolic Syndrome-A Comprehensive Review

Periodontal disease is a complex and progressive chronic inflammatory condition that leads to the loss of alveolar bone and teeth. It has been associated with various systemic diseases, including diabetes mellitus and obesity, among others. Some of these conditions are part of the metabolic syndrome cluster, a group of interconnected systemic diseases that significantly raise the risk of cardiovascular diseases, diabetes mellitus, and stroke. The metabolic syndrome cluster encompasses central obesity, dyslipidemia, insulin resistance, and hypertension. In this review, our objective is to investigate the correlation between periodontal disease and the components and outcomes of the metabolic syndrome cluster. By doing so, we aim to gain insights into the fundamental mechanisms that link each systemic condition with the metabolic syndrome. This deeper understanding of the interplay between these conditions and periodontal disease can pave the way for more effective treatments that take into account the broader impact of managing periodontal disease on the comprehensive treatment of systemic diseases, and vice versa.

Diabetes mellitus promotes susceptibility to periodontitis-novel insight into the molecular mechanisms

Diabetes mellitus is a main risk factor for periodontitis, but until now, the underlying molecular mechanisms remain unclear. Diabetes can increase the pathogenicity of the periodontal microbiota and the inflammatory/host immune response of the periodontium. Hyperglycemia induces reactive oxygen species (ROS) production and enhances oxidative stress (OS), exacerbating periodontal tissue destruction. Furthermore, the alveolar bone resorption damage and the epigenetic changes in periodontal tissue induced by diabetes may also contribute to periodontitis. We will review the latest clinical data on the evidence of diabetes promoting the susceptibility of periodontitis from epidemiological, molecular mechanistic, and potential therapeutic targets and discuss the possible molecular mechanistic targets, focusing in particular on novel data on inflammatory/host immune response and OS. Understanding the intertwined pathogenesis of diabetes mellitus and periodontitis can explain the cross-interference between endocrine metabolic and inflammatory diseases better, provide a theoretical basis for new systemic holistic treatment, and promote interprofessional collaboration between endocrine physicians and dentists.

Discovering genetic linkage between periodontitis and type 1 diabetes: A bioinformatics study

Background: Relationship between periodontitis (PD) and type 1 diabetes (T1D) has been reported, but the detailed pathogenesis requires further elucidation. This study aimed to reveal the genetic linkage between PD and T1D through bioinformatics analysis, thereby providing novel insights into scientific research and clinical treatment of the two diseases.

Methods: PD-related datasets (GSE10334, GSE16134, GSE23586) and T1D-related datasets(GSE162689)were downloaded from NCBI Gene Expression Omnibus (GEO). Following batch correction and merging of PD-related datasets as one cohort, differential expression analysis was performed (adjusted p-value <0.05 and ∣log2  fold change| > 0.5), and common differentially expressed genes (DEGs) between PD and T1D were extracted. Functional enrichment analysis was conducted via Metascape website. The protein-protein interaction (PPI) network of common DEGs was generated in The Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database. Hub genes were selected by Cytoscape software and validated by receiver operating characteristic (ROC) curve analysis.

Results: 59 common DEGs of PD and T1D were identified. Among these DEGs, 23 genes were commonly upregulated, and 36 genes were commonly downregulated in both PD- and T1D-related cohorts. Functional enrichment analysis indicated that common DEGs were mainly enriched in tube morphogenesis, supramolecular fiber organization, 9 + 0 non-motile cilium, plasma membrane bounded cell projection assembly, glomerulus development, enzyme-linked receptor protein signaling pathway, endochondral bone morphogenesis, positive regulation of kinase activity, cell projection membrane and regulation of lipid metabolic process. After PPI construction and modules selection, 6 hub genes (CD34, EGR1, BBS7, FMOD, IGF2, TXN) were screened out and expected to be critical in linking PD and T1D. ROC analysis showed that the AUC values of hub genes were all greater than 70% in PD-related cohort and greater than 60% in T1D-related datasets.

Conclusion: Shared molecular mechanisms between PD and T1D were revealed in this study, and 6 hub genes were identified as potential targets in treating PD and T1D.

Association between Type 1 Diabetes Mellitus and Periodontal Diseases

Gingivitis and periodontitis are chronic inflammatory diseases that affect the supporting tissues of the teeth. Although induced by the presence of bacterial biofilms, other factor, such as tobacco smoking, drugs, and various systemic diseases, are known to influence their pathogenesis. Diabetes mellitus and periodontal diseases correspond to inflammatory diseases that have pathogenic mechanisms in common, with the involvement of pro-inflammatory mediators. A bidirectional relationship between type 2 diabetes and periodontitis has been documented in several studies. Significantly less studies have focused on the association between periodontal disease and type 1 diabetes. The aim of the study is to analyze the association between periodontal status and type 1 diabetes mellitus. The "Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines" was used and registered at PROSPERO. The search strategy included electronic databases from 2012 to 2021 and was performed by two independent reviewers. According to our results, we found one article about the risk of periodontal diseases in type 1 diabetes mellitus subjects; four about glycemic control; two about oral hygiene; and eight about pro-inflammatory cytokines. Most of the studies confirm the association between type 1 diabetes mellitus and periodontal diseases. The prevalence and severity of PD was higher in DM1 patients when compared to healthy subjects.

Salivary Gene Expression of RANK, RANKL, and OPG in Type 1 Diabetes Mellitus and Periodontal Disease Patients

Objectives

The relationship between type 1 diabetes mellitus (T1DM) and periodontal disease may exhibit by the alteration of bone metabolism. However, evidence for this relationship is scarce and inconclusive. Thus, the aims of the present study were to investigate salivary receptor activator of nuclear factor kappa-β (RANK), receptor activator of nuclear factor kappa-β ligand (RANKL), osteoprotegerin (OPG) gene expression and the RANKL:OPG ratio in T1DM and non-T1DM. Secondary objective was to determine the relationships of RANK, RANKL and OPG gene expression to clinical parameters of T1DM and periodontal disease.

Materials and Methods

Twenty patients with T1DM and twenty age-matched non-T1DM were recruited. Clinical periodontal parameters were measured. Total RNA was isolated from non-stimulated saliva, and the relative gene expressions of RANK, RANKL, OPG and RANKL:OPG ratio were determined by quantitative real-time polymerase chain reaction.

Results

The T1DM group had significantly higher mean periodontal parameters than the non-T1DM group, while the mean plaque scores of both groups were not significantly different. There was a trend of higher relative gene expression of RANK, RANKL, and the RANKL:OPG ratio and lower expression of OPG in T1DM group but no statistic significant different when compared to non-T1DM. In the T1DM group, RANKL:OPG correlated with the percentage of bleeding sites, whereas RANK, RANKL, and HbA1c levels correlated with pocket depth.

Conclusions

Bone metabolisms demonstrating by decreased OPG gene expression and upregulated of RANK, RANKL, RANKL:OPG with higher pocket depth and bleeding in T1DM may play an important role in periodontal destruction in T1DM.

Oral Cavity Status of Type 1 Diabetic Patients Who Underwent an Oral Hygiene Tuition

Diabetes mellitus is a civilization disease which affects increasing number of people. Diabetes essentially influences gingival disease, periodontal disease, saliva secretion disorders and its parameters. The aim of the study is both assessing the oral cavity status of that group of patients to clearly identify their treatment needs and the effectiveness of implementation of oral hygiene training. 57 patients with type 1 diabetes and 31 healthy declared their contribution to the research. The research was conducted within two visits. The evaluation was done during clinical examination: teeth condition, oral hygiene. During the end of the first visit patients received professional oral hygiene instructions. Analysis of the clinical research in both groups showed no differences for Decayed- Missing- Filled teeth index and Dental Treatment Index. The results demonstrated disparity between the groups for the decayed teeth component and filled teeth component (symptomatically higher values in the researched group). There was statistically significant difference in the modified Sulcus Bleeding Index values analysis between both groups. Conducting hygiene instructions influenced the decline of Approximal Plaque Index and Oral Hygiene Index in the treatment group. It is essential for dentists in cooperation with diabetologists to educate patients on the necessity to maintain oral hygiene procedures.

Periodontal and caries status in unexplained female infertility: A case-control study

BACKGROUND

The aim of this study was to investigate the possible association between maternal periodontal disease and dental caries that affect oral health and unexplained infertility.

METHODS

This cross-sectional case-control study included 50 fertile women and 50 women with unexplained infertility aged 21 to 39 years. Dental and periodontal parameters were examined to evaluate the oral health of the participants. According to the new periodontal disease classification, periodontitis severity was determined.

RESULTS

In infertile women, the number of advanced caries lesions, the percentage of bleeding on probing (BOP), gingival index (GI), probing depth (PD), and clinical attachment level (CAL) were higher (P < 0.05). The DMFT and mean plaque index (PI) were not statistically different between the two groups. The PISA and PESA values were higher in women with unexplained infertility than in fertile women (P = 0.005 and P = 0.002, respectively). In multivariate analysis showed that association of DMFT and BOP variables with periodontitis was found to be significant for all women included in the study and for infertile women only (P = 0.000 and P = 0.012 for DMFT, respectively; P = 0.000 and P = 0.016 for BOP, respectively).

CONCLUSION

The chronic inflammatory environment caused by periodontitis and advanced carious lesions in women with unexplained infertility should be of great concern as it may have a role in the etiology of infertility.

Gingival crevicular fluid biomarkers in type 1 diabetes mellitus: A case-control study

OBJECTIVE

The aim of the study is to compare the levels of Gingival Crevicular Fluid (GCF) interleukin 8 (IL-8), matrix metalloproteinase 8 (MMP-8) and advanced glycated-end products (AGEs) in a cohort of type 1 diabetic (T1D) subjects and healthy controls.

MATERIAL AND METHODS

GCF samples and periodontal examination were assessed in 50 subjects with T1D (30 males and 20 females; mean age: 35.2 years) recruited from the Diabetology Unit of the Geneva University Hospitals and in 50 control subjects matched for gender, age and smoking status. Samples were assessed for IL-8 and MMP-8 using a bead array multianalyte detection system and for AGEs the ELISA. The two groups were compared using the Wilcoxon signed rank test.

RESULTS

The mean HbA1c differed significantly between the groups (8.3% for the T1D group vs. 5.2% for the control group, p < 0.001). T1D subjects had significantly more plaque and gingival inflammation and presented more sites with bleeding on probing compared to the controls. The GCF levels of IL-8, MMP-8 and AGEs did not differ significantly between the groups. Further analysis of the GCF markers in younger (<40 years) and older (≥40 years) cohorts, revealed no significant differences between younger diabetics and controls or between older diabetics and controls. When the groups were divided according to their glycemic status (HbA1c 6.1-8, and > 8%), again no significant differences could be identified for any of the biochemical markers.

CONCLUSIONS

T1D subjects, particularly the younger ones, exhibited more inflammation compared to the matched healthy controls. Results on the GCF expression of IL-8, MMP-8 and AGEs did not differ between the groups. The diabetic population of our cohort was for the most part fairly-controlled, with little if any complications and with presence of only mild type of periodontal disease, as 68% had gingivitis.

Type 1 diabetes and periodontitis: prevalence and periodontal destruction-a systematic review

AIMS

Data about the association between periodontal disease or periodontitis (PD), diabetes and hyperglycemia have been reported mostly in patients with type 2 diabetes. Conversely, information about PD in type 1 diabetes (T1DM) is relatively scarce. The aim of this meta-analysis is therefore: (1) to assess the prevalence and severity of PD in patients affected by T1DM in comparison with the general population and (2) to verify the association between severity of PD and glycemic control in type 1 diabetics.

METHODS

An electronic search was performed on MEDLINE, Cochrane Central Register of Trials and EMBASE, up to October 31, 2019. Estimates of prevalence of PD in T1DM were calculated together with Mantel-Haenszel odds ratios (MH-OR) of the risk of PD associated with T1DM; weighed mean difference in CAL between T1DM and control and weighed mean difference in CAL in patients with T1DM and unsatisfactory glycemic control as compared with those in good glycemic control were also evaluated..

RESULTS

The prevalence of PD in type 1 diabetes was 18.5 [8.0; 37.1] %; the MH-OR for PD is 2.51 (1.32;4.76) in T1DM patients versus general population (p = 0.005). The weighed mean difference in CAL depth between T1DM patients and controls is 0.506 [0.181; 0.832] mm (p < 0.005), and in T1DM patients with good glycemic control CAL depth is - 0.71 [- 1.00; - 0.42] mm less deep than in subjects with HbA1c > 7%.

CONCLUSIONS

The present data confirm that T1DM is a relevant risk factor for the development of PD. The proportion of patients affected by PD is more than doubled in subjects with T1DM in comparison with non-diabetic individual, and among patients with T1DM, PD seems to be more severe and the differences appear very wide between subjects in optimal and suboptimal glycemic control.

Therapeutic potential for insulin on type 1 diabetes-associated periodontitis: Analysis of experimental periodontitis in streptozotocin-induced diabetic rats

Aims/Introduction

The association between diabetes and periodontal disease is considered to be bidirectional. However, there is still controversy surrounding the relationship between periodontal disease and type 1 diabetes. We investigated whether insulin improves periodontitis without any local treatments for periodontitis under type 1 diabetes conditions using the ligature‐induced experimental periodontitis model.

Materials and Methods

Type 1 diabetic rats were induced by streptozotocin injection. Experimental periodontitis was induced by ligature in normal and diabetic rats. Half of the diabetic rats were treated with insulin. Two weeks after the ligature, periodontitis was evaluated.

Results

Insulin treatment significantly improved inflammatory cell infiltration and inflammatory cytokine gene expression, leading to suppression of alveolar bone loss, in the periodontitis of diabetic rats. Insulin also suppressed the periodontitis‐increased nitric oxide synthase‐positive cells in periodontal tissue of the diabetic rats. Even without induction of periodontitis, diabetic rats showed decreased gingival blood flow and an increased number of nitric oxide synthase‐positive cells in the gingiva and alveolar bone loss compared with normal rats, all of which were ameliorated by insulin treatment. We further confirmed that insulin directly suppressed lipopolysaccharide‐induced inflammatory cytokine expressions in THP‐1 cells.

Conclusions

There were abnormalities of periodontal tissue even without the induction of periodontitis in streptozotocin‐induced diabetic rats. Insulin treatment significantly ameliorated periodontitis without local periodontitis treatment in diabetic rats. These data suggest the therapeutic impacts of insulin on periodontitis in type 1 diabetes.

Does Periodontal Inflammation Affect Type 1 Diabetes in Childhood and Adolescence? A Meta-Analysis

The emergence of link between periodontal disease and diabetes has created conditions for analyzing new interdisciplinary approach making toward tackling oral health and systemic issues. As periodontal disease is a readily modifiable risk factor this association has potential clinical implications. The aim of this paper was systematically review the extant literature related to analytics data in order to identify the association between type 1 diabetes (T1DM) in childhood and adolescence with periodontal inflammation. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a database search between 2004 and 2019. A manual search of the literature was conducted as an additional phase of the search process, with the aim of identifying studies that were missed in the primary search. One hundred and thirty-nine records were screened and 10 fulfilled the inclusion criteria. Most studies were of moderate methodological quality. Outcomes included assessments of diabetes and periodontal status. In diabetic populations, compared to healthy subjects, interindividual differences in periodontal status are reflected in higher severity of periodontal inflammation. The most reported barriers to evidence uptake were the intrinsic limits of cross-sectional report data and relevant research, and lack of timely research output. Based on the evidence presented within the literature, the aforementioned biomarkers correlate with poor periodontal status in type 1 diabetic patients. Whilst the corpus of the evidence suggests that there may be an association between periodontal status and type 1 diabetes, study designs and methodological limitations hinder interpretation of the current research.