Association Between Periodontitis and Metabolic Syndrome in Females
Bibliographic record
Abstract
INTRODUCTION Metabolic syndrome (MetS) is a group of health conditions involving belly fat, increased blood sugar, hypertension, raised triglycerides, and reduced high-density lipoprotein (HDL) cholesterol. The root causes of MetS include increased weight and obesity, insulin tolerance, hereditary conditions, inappropriate eating, lack of physical activity, and aging. The worldwide prevalence of MetS in the adult population increases with an approximate prevalence of 20–25%.[1] Adults suffering with Mets have a five times more severe chance of having type 2 diabetes and are thrice at risk of heart attack or stroke than those without MetS.[123] In this backdrop, MetS is deemed a public health problem worldwide.[45] Periodontal disease (PD) is a group of conditions affecting the tooth’s supporting tissues including the gingiva, periodontal ligament, cementum, and alveolar bone. It most frequently develops as a response to chronic infection and inflammation, usually resulting from the presence of pathogenic bacteria.[6] Cumulative evidence over the years suggests that PDs are associated with glucose intolerance, dyslipidemia, elevated blood pressure (BP), and a low-grade systemic inflammation,[7891011] along with other systemic diseases and conditions such as cardiovascular disease, diabetes, and obesity.[1213] The supposed link may be attributed to the various common risk factors,[14] the release of inflammatory cytokines,[15] abdominal obesity,[16] oxidative stress,[17] proatherogenic lipoproteins,[18] and cross-reactivity and molecular mimicry,[19] which could a play role in these associations. In females, the association between PDs and MetS and vice versa has not been fully reported. Hence, this systematic review aims to identify the extent and a possible bidirectional association between PDs and the presence of MetS in females. Furthermore, the extent and directionality of the associations were compared with the overall findings. MATERIALS AND METHODS The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed in this study. The broad research question included is: “is there any bi-directional association between PDs and MetS among females?” The review strategy adhered to the PECO format. STUDY SELECTION The observational studies of case–control, cross-sectional, cohort studies, and population surveys involving female subjects with measures of MetS and PDs and/or controls were included in the review. SEARCH STRATEGY The literature search was carried out using the electronic databases MedLine, EMBASE, LILACS, and Cochrane library. The unpublished databases were complemented by a search through reference lists. Only English Language articles were included in the search. Peer-reviewed studies, reports, book chapters, conference abstracts, and theses were screened among published literatures. Narrative reviews on the topic were searched in order to identify suitable papers. Ahead-of-print publications were sought by contacting editors of the journals with the impact on our search (dental, metabolic, cardiovascular). The search was updated on December 31, 2019. The search strategy included the following search words: MeSH terms in all trees/subheadings: “periodontal diseases” and “insulin resistance.” Keywords for PD are: “tooth loss,” “alveolar bone loss,” “periodont*,” and “gingiva*.” Similarly, keywords for MetS included “metabolic syndrome,” “syndrome X,” “obesity,” “hypertension,” “diabetes mellitus,” “insulin resistance,” “hypertriglyceridemia,” “hyperlipidemia,” “hypercholesterolemia,” “dyslipidemia,” “hyperglycemia,” and “hyperinsulinism.” A study selection involved first stage of initial screening of potentially suitable titles and abstracts based on inclusion criteria. The second stage consisted of screening of the full papers that were identified as possibly relevant in the initial screening. In the third stage, a full database was built after careful analysis listing of selected studies. DEFINITIONS OF PDS AND METS Due to the lack of similar diagnostic criteria of PD and MetS in various published articles, the following criteria have been applied. 1. Diagnosis of periodontitis Periodontitis included a minimum of two areas of different teeth having clinical attachment level (CAL): at least two sites on different teeth with CAL ≥ 6 mm and at least one site with probing pocket depth (PPD) ≥ 4 mm[20] or minimum two areas of non-adjacent teeth proximal attachment loss ≥ 3 mm,[21] or community periodontal index (CPI) score of 4 in at least one quadrant.[22] However, in situations with no reported CAL or PPD, a radiographic alveolar bone loss was ≥ 30% of root length or ≥ 5 mm in at least two teeth. 2. Diagnosis of gingivitis Gingivitis included a minimum of 30% of sites with bleeding on probing or mean bleeding index = 1[23] or at least 15 bleeding sites.[24] In some cases, gingivitis referred to unspecified gingival inflammation. 3. Diagnosis of MetS MetS refers to the condition when any three of the five risk factors were recorded: increased waist circumference (≥88 cm in women), increased fasting triglycerides (≥150 mg/dL or on drug treatment for elevated triglycerides), decreased HDL cholesterol (<50 mg/dL in women or on drug treatment for reduced HDL cholesterol), increased BP (systolic BP ≥130 mmHg or diastolic BP ≥85 mmHg, or on antihypertensive drug treatment in patients with history of hypertension), and increased fasting glucose (≥100 mg/dL or on drug treatment for elevated glucose).[25] DATA EXTRACTION Descriptive information including the study outcomes and odds ratios (ORs) were extracted from each study, as shown in Table 1.Table 1: Main characteristics of studies included in the reviewSTATISTICAL ANALYSIS A random-effects model was used to determine the pooled prevalence and 95% CI. The general effect size was obtained using the reported OR for the PD to MetS and MetS to PD. The heterogeneity of the study results was assessed using I2 test. Significant heterogeneity was considered for P < 0.10 and I2 > 50%. A subgroup analysis considered the directionality (MetS to PD and PD to MetS), gender, and study design. Statistical analysis was performed by the use of the Open Meta Analyst (version 3.13). RESULTS Of the 4150 titles, 65 were considered suitable after initial screening. After the full-text reading, 22 papers were excluded due to: (1) not reporting outcomes of interest (n = 10); (2) duplicate reports (n = 3); (3) reviews (n = 4); and (4) focussed on medical subgroups (n = 5) [Figure 1]. Hence, a total of 43 studies were included in the qualitative analysis and 37 papers considered in the quantitative analysis. These studies were published in various countries of the world. The study participants ranged from 125 patients in a study by Thanakun et al.[43] and Iwasaki et al.[45] to 33,740 in the Taiwanese population by Tu et al.[40] (median number of subjects 941). Six studies included data as part of longitudinal studies: Morita et al.[12]; Nesbitt et al.[33]; Lee et al.[42]; Iwasaki et al.[45]; Nascimento et al.[62]; and Shearer et al.[64] Six studies were case–control studies: Li[29]; Han[46]; Thanakun et al.[43]; Jaramillo et al.[50]; Koo and Hong[56]; and Pham,[57] and the remaining 31 studies were cross-sectional.Figure 1: Flowchart of the search studies for systematic reviewOnly one study was carried out in adolescents in whom gingivitis was assessed.[65] The criteria of periodontitis ranged from radiographically as mentioned by Nesbitt et al.[33] to clinically reported by Page and Eke.[20] In some instances, arbitrary criteria of PPD or CAL were considered in this study. The periodontitis ranged from 6.3% to 80% among various studies. However, the percentage of subjects classified as having MetS across the included studies varied from 5.0% to 85%. QUALITY ASSESSMENT The Newcastle–Ottawa scale was utilized to evaluate the quality of the studies. The quality of the study was judged using the star system of rating adhering to the criteria based on the selection of the study groups, the comparability, and exposure or the outcome of interest. The results varied across the selected studies, which are shown in Table 2. The scale ranged from 0 to 9 stars for each article. More stars indicated a higher quality of the study.Table 2: The Newcastle–Ottawa quality assessment scaleSUBGROUP ANALYSIS Many studies did not report data gender-wise, but studies that reported data based on gender showed a higher prevalence of females’ MetS. So we performed a subgroup analysis based on the gender of the study participants. The subgroup analysis by gender demonstrated a crude OR of 1.385 (95%: 1.043–1.839, I2 = 94.61%, P < 0.001) in females and 1.58 (95% CI: 1.42–1.77, I2 = 89.9%, P < 0.001) for both genders [Figure 2]. The subgroup analysis by directionality showed crude ORs of 1.28 (95% CI: 0.91–1.79, I2 = 96.44%, P = 0.000) for PD to MetS for females [Figure 3] and 1.60 (95% CI: 1.37–1.87, I2 = 90.87%, P = 0.000) for overall PD to MetS for both genders [Figure 4]. The subgroup analysis by directionality showed crude ORs of 2.12 (95% CI: 0.78–5.73, I2 = 88.31%, P < 0.001) for MetS to PD for females [Figure 5] and 1.56 (95% CI: 1.35–1.80, I2 = 91.67%, P < 0.001) for MetS to PD for both genders [Figure 6].Figure 2: Forest plot of gender and MetSFigure 3: Forest plot of PD to MetS in femalesFigure 4: Forest plot of overall PD to MetSFigure 5: Forest plot of MetS to PD in femalesFigure 6: Forest plot of overall MetS to PDDISCUSSION In this study, relevant publications that described the prevalence of MetS and PDs and vice versa were selected regardless of the criteria used for defining periodontitis and MetS. Random-effects meta-analysis was used to pool the prevalence. Heterogeneity was explored using formal and subgroup analyses based on gender (females alone vs. both genders), directionality (overall PD to MetS vs. overall MetS to PD), and directionality among females (female PD to MetS vs. female MetS to PD). Study quality and publication bias were also explored. The study findings revealed no clear association between MetS and PD in females. However, gender predisposition can depend on multiple factors such as hormones, genetics, behavior, stress, to name a few. The changes in hormone levels occurring during puberty, pregnancy, menstruation, and menopause, and those that occur with the use of hormonal supplements, have long been associated with the development of gingivitis. One research carried out in Korea by Lee et al. in 2015[65] concluded that the probability of gingivitis is increased among those with three or more positive markers of the MetS, and HDL cholesterol levels are a significant risk factor. To date, there has been no unified concept of MetS that can be extended to adolescents, and current adult-based meanings of MetS might not be sufficient to solve the issue in this age group; thus, the word “high risk of MetS” has been used instead of MetS. There were no indicators of any hormonal influences at the moment. Three studies were conducted in females with the directionality of MetS to PD (Shimazaki et al.,[26] Furuta et al.,[38] and LaMonte et al.[41]). Shimazaki concluded that if participants have more components of MetS, PD’s likelihood increased depending on their components. However, it was reported that the MetS components were not consistently associated with periodontal measures in older post-menopausal women.[41] Estrogen insufficiency could affect oral soft and hard tissues. Women in their post-menopausal are likely to have osteoporosis, thereby increasing the risk of periodontal destruction.[66] Likewise, postmenopausal women have demonstrated altered lipid metabolism and increased risk for cardiovascular diseases.[67686970] Tu et al.[40] explored the directionality of PD to MetS. A small but statistically significant association was found between MetS and PD among Taiwanese females, and a weaker association in Taiwanese males was observed. It could be due to relatively weaker influence of periodontal infection on MetS than stronger genetic and environmental risk factors. Moreover, the periodontal infections “compete” with these factors in their independent effects on MetS. These competing effects phenomenon may be larger in men than in women as men tend to have a less healthy lifestyle; hence, smaller ORs were reported in men.[40] Six longitudinal studies were included in this review. According to a 4-year longitudinal study by Morita in 2010, the presence of periodontal pockets was associated with increased risk of MetS components. Similarly, another longitudinal study observed that individuals with a more significant number of MetS components were more likely to have PD.[42] A 3-year follow-up study by Iwasaki et al.[45] reported that the participants with MetS had a significantly increased risk of PD, with a higher positive correlation in females. As the reported longitudinal trials are very minimal and inconclusive, further interventional studies on periodontal therapy-induced changes in the condition of MetS in patients with PD and MetS could be required to establish the causal relationship between PD and MetS. In this review, 31 studies were cross-sectional, with the reported 24% prevalence of MetS. Although several studies investigated the relationship between MetS and PD, none has reviewed this relationship exclusively among females. The influence of gender on pathophysiology and clinical expression of MetS is of great significance, given the alarming increase in the prevalence of MetS among females. This review found 14 studies that reported a higher prevalence of association between PD and Mets in females, and 11 studies reported it to be higher in males. On the contrary, Thanakun et al.[43] reported no gender difference in the association between periodontitis and MetS. The variability in results may be due to selection bias, differences in diagnostic criteria for PD and MetS, or the improper control of confounding factors. Moreover, high heterogeneity has been observed across reported studies. One of the likely causes of heterogeneity is the study area (urban/rural) from where study subjects were considered for examination. Moreover, MetS differed between males and females, with higher prevalence in females than that identified by the subgroup analysis. Within the male and female subgroups, a high between-study heterogeneity on the prevalence of MetS was observed. The quality evaluation review indicates that many studies do not meet the “adequate sample size” criteria. Another issue was that data collection was carried out in certain studies without sufficient coverage of the identified sample. STRENGTH AND LIMITATIONS This review’s strength is the comprehensiveness of the method, which involved looking for various databases, well-defined requirements for inclusion/exclusion, and thorough usage of reference lists. However, there are drawbacks to our systematic review and meta-analysis. This study did not consider non-English publications and local-level journals that are not accessible via large academic databases. In addition, there were difficulties in having a universally accepted clinical case definition of periodontitis. The definitions of MetS, age ranges, waist circumference, and research settings were not similar, resulting in a lack of homogeneity in the assessment of MetS. Moreover, longitudinal, cross-sectional, and case–control studies were taken together, which may have caused outcome bias. Hence, the outcome of this review is affected by many factors. CONCLUSION This study lacks convincing proof of a link between MetS and periodontitis in females when compared with an overall association between MetS and PD. Directionality indicated higher odds of having MetS and PD than PD and MetS among females. Further longitudinal and treatment trials are needed to confirm these associations among females. FINANCIAL SUPPORT AND SPONSORSHIP Nil. CONFLICTS OF INTEREST There are no conflicts of interest. AUTHORS CONTRIBUTIONS Not applicable. ETHICAL POLICY AND INSTITUTIONAL REVIEW BOARD STATEMENT Not applicable. PATIENT DECLARATION OF CONSENT Not applicable. DATA AVAILABILITY STATEMENT Not applicable. ACKNOWLEDGEMENTS Not applicable.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".