Relationship between periodontal diseases and newly-diagnosed metabolic syndrome components in a sub-Saharan population: a cross sectional study

Automated Machine Learning to Develop Predictive Models of Metabolic Syndrome in Patients with Periodontal Disease

Metabolic syndrome is experiencing a concerning and escalating rise in prevalence today. The link between metabolic syndrome and periodontal disease is a highly relevant area of research. Some studies have suggested a bidirectional relationship between metabolic syndrome and periodontal disease, where one condition may exacerbate the other. Furthermore, the existence of periodontal disease among these individuals significantly impacts overall health management. This research focuses on the relationship between periodontal disease and metabolic syndrome, while also incorporating data on general health status and overall well-being. We aimed to develop advanced machine learning models that efficiently identify key predictors of metabolic syndrome, a significant emphasis being placed on thoroughly explaining the predictions generated by the models. We studied a group of 296 patients, hospitalized in SCJU Sibiu, aged between 45-79 years, of which 57% had metabolic syndrome. The patients underwent dental consultations and subsequently responded to a dedicated questionnaire, along with a standard EuroQol 5-Dimensions 5-Levels (EQ-5D-5L) questionnaire. The following data were recorded: DMFT (Decayed, Missing due to caries, and Filled Teeth), CPI (Community Periodontal Index), periodontal pockets depth, loss of epithelial insertion, bleeding after probing, frequency of tooth brushing, regular dental control, cardiovascular risk, carotid atherosclerosis, and EQ-5D-5L score. We used Automated Machine Learning (AutoML) frameworks to build predictive models in order to determine which of these risk factors exhibits the most robust association with metabolic syndrome. To gain confidence in the results provided by the machine learning models provided by the AutoML pipelines, we used SHapley Additive exPlanations (SHAP) values for the interpretability of these models, from a global and local perspective. The obtained results confirm that the severity of periodontal disease, high cardiovascular risk, and low EQ-5D-5L score have the greatest impact in the occurrence of metabolic syndrome.

Prevalence of the metabolic syndrome in African populations: A systematic review and meta-analysis

BACKGROUND

The metabolic syndrome (MS) is a leading cause of death worldwide. Several studies have found MS to be prevalent in various African regions. However, no specific estimates of MS prevalence in African populations exist. The aim of this study was to estimate the overall prevalence of MS in the African populations.

METHODS

A systematic review was conducted in PubMed, Web of Science, Africa Index Medicus, and African Journal Online Scopus to find studies published up to the 15th of August 2022. Pooled prevalence was calculated based on six diagnostic methods. The pooled prevalence of MS was estimated using a random-effects model. Our risk of bias analysis was based on the Hoy et al. tool. A Heterogeneity (I2) assessment was performed, as well as an Egger test for publication bias. PROSPERO number CRD42021275176 was assigned to this study.

RESULTS

In total, 297 studies corresponding to 345 prevalence data from 29 African countries and involving 156 464 participants were included. The overall prevalence of MS in Africa was 32.4% (95% CI: 30.2-34.7) with significant heterogeneity (I2 = 98.9%; P<0.001). We obtained prevalence rates of 44.8% (95% CI: 24.8-65.7), 39.7% (95% CI: 31.7-48.1), 33.1% (95% CI: 28.5-37.8), 31.6% (95% CI: 27.8-35.6) and 29.3% (95% CI: 25.7-33) using the WHO, revised NCEP-ATP III, JIS, NCEP/ATP III and IDF definition criteria, respectively. The prevalence of MS was significantly higher in adults >18 years with 33.1% (95%CI: 30.8-35.5) compared to children <18 years with 13.3% (95%CI: 7.3-20.6) (P<0.001). MS prevalence was significantly higher in females with 36.9% (95%CI: 33.2-40.7) compared to males with 26.7% (95%CI: 23.1-30.5) (P<0.001). The prevalence of MS was highest among Type 2 diabetes patients with 66.9% (95%CI: 60.3-73.1), followed by patients with coronary artery disease with 55.2% (95%CI: 50.8-59.6) and cardiovascular diseases with 48.3% (95%CI: 33.5-63.3) (P<0.001). With 33.6% (95% CI: 28.3-39.1), the southern African region was the most affected, followed by upper-middle income economies with 35% (95% CI: 29.5-40.6).

CONCLUSION

This study, regardless of the definition used, reveals a high prevalence of MS in Africa, confirming the ongoing epidemiological transition in African countries. Early prevention and treatment strategies are urgently needed to reverse this trend.

Periodontal Disease in Obese Patients; Interleukin-6 and C-Reactive Protein Study: A Systematic Review

Periodontal disease (PD) and obesity are characterized by a dysregulated inflammatory state. Both conditions trigger inflammatory and immune responses with an increase in proinflammatory cytokines such as Interleukin 6 (IL-6) and the release of inflammatory mediators such as C-reactive protein (CRP). Individuals with a high body mass index (BMI) present a chronic inflammatory state. The aim of the present study was to perform a systematic review of inflammatory markers (IL-6 and CRP) in obese patients with PD and their possible relationship by analyzing the levels of these markers. A digital literature search was performed in three databases-PubMed, SciElo and Medigraphic-through an advanced search for original articles, employing IL-6 and CRP in obese patients with PD, within a publication period from 2010 to 2021. PRISMA guidelines, the JADAD scale and a qualitative analysis of scientific evidence were performed using the Cochrane collaboration method and the RoB 2 assessment tool. Ten articles were included in this analysis with the variables recorded and associated with subjects with obesity and PD. Of the ten articles included, three analyzed IL-6 and CRP, four analyzed IL-6 and three analyzed CRP. In conclusion, and based on the available evidence, the aforementioned markers of inflammation demonstrate that there is a relationship between PD and obesity.

Association between components of metabolic syndrome and periodontitis: a systematic review and meta-analysis

OBJECTIVES

To evaluate the role of metabolic syndrome (MetS) components in the association with periodontitis (PE) (#CRD42020218310).

MATERIALS AND METHODS

A systematic electronic search was performed in PUBMED, Scielo and Lilacs databases up to April 2022. Cross-sectional, case-control, and cohort studies presenting data on the association between MetS and PE in the adult and elderly populations were included. A random effect meta-analysis was performed to determine association effect estimates. Results interpretation followed the assessment of methodological quality (Joana Briggs Institute tool) together with the certainty of evidence (GRADE approach).

RESULTS

This review included 52 studies, totalling 140,434 participants, and 38 studies were meta-analyzed. Association between PE and MetS was observed (OR_adj from 1.27 to 1.90; PR_ajd = 1.19; RR_adj from 1.10 to 1.37) (low and very low certainty of evidence). Hyperglycaemia (OR = 1.18), HDL (OR = 1.16), obesity (OR = 1.08), and hypertension (OR = 1.11) were associated with PE, except triglycerides (low and very low certainty of evidence). There was a dose-response gradient between the number of MetS components and PE, with a gradual increase in the effect magnitude for 1 (OR = 1.14), 2 (OR = 1.52), 3 or more (OR = 1.79), and 4 or 5 components (OR = 2.02) (low to high certainty of evidence).

CONCLUSIONS

MetS was associated with PE, with a dose-response gradient between the number of MetS components and the occurrence of PE, with an increasing effect magnitude according to an increasing number of components.

CLINICAL RELEVANCE

Periodontal examination should be part of a comprehensive propaedeutic approach of MetS patients, particularly those presenting a great number of components.

Energy Metabolism in Osteogenic Differentiation and Reprogramming: A Possible Future Strategy for Periodontal Regeneration

Energy metabolism is crucial in stem cells as they harbor various metabolic pathways depending on their developmental stages. Moreover, understanding the control of their self-renewal or differentiation via manipulation of their metabolic state may yield novel regenerative therapies. Periodontal ligament (PDL) cells existing between the tooth and alveolar bone are crucial for maintaining homeostasis in the periodontal tissue. In addition, they play a pivotal role in periodontal regeneration, as they possess the properties of mesenchymal stem cells and are capable of differentiating into osteogenic cells. Despite these abilities, the treatment outcome of periodontal regenerative therapy remains unpredictable because the biological aspects of PDL cells and the mechanisms of their differentiation remain unclear. Recent studies have revealed that metabolism and factors affecting metabolic pathways are involved in the differentiation of PDL cells. Furthermore, understanding the metabolic profile of PDL cells could be crucial in manipulating the differentiation of PDL cells. In this review, first, we discuss the energy metabolism in osteoblasts and stem cells to understand the metabolism of PDL cells. Next, we summarize the metabolic preferences of PDL cells during their maintenance and cytodifferentiation. The perspectives discussed have potential applicability for creating a platform for reliable regenerative therapies for periodontal tissue.