Skip to main content
Pediatric Discovery logoLink to Pediatric Discovery
. 2023 Nov 3;2(1):e38. doi: 10.1002/pdi3.38

The impact of metabolic disorders on management of periodontal health in children

Yunyan Zhang 1,2, Tong‐Chuan He 3,, Hongmei Zhang 1,2,
PMCID: PMC11115384  NIHMSID: NIHMS1958928  PMID: 38784180

Abstract

Periodontitis is a chronic inflammatory disease caused by plaque biofilm which shares risk factors with systemic chronic diseases such as diabetes, cardiovascular disease, and osteoporosis. Many studies have found increased prevalence and rate of progression of periodontal disease in children with common metabolic disorders. Although the causal relationship and specific mechanism between them has not been determined yet. The aim of this paper is to progress on the impact of metabolic disorders on periodontal health in children and the underlying mechanisms, which provides new evidences for the prevention and intervention of metabolic disorders and periodontitis in children.

Keywords: children, metabolic disorders, periodontal health


Metabolic diseases in children and adolescents may increase the risk of periodontal disease by affecting immunity and oral microbial colonization.

graphic file with name PDI3-2-e38-g002.jpg

1. INTRODUCTION

Periodontal diseases are highly prevalent and can affect up to 90% of the worldwide population. 1 Severe periodontitis can result in loosening of teeth, occasional pain and discomfort, impaired mastication, and eventual tooth loss. Not only that, periodontal diseases could even contribute to systemic inflammation. Recent studies have learned that not all individuals are at equal risk of developing periodontitis. Periodontitis with systemic diseases often has the characteristics of earlier onset, faster progression, more severe destruction, and worse response to treatment. 2 A high prevalence of periodontitis is now found in adolescents and children with metabolic diseases such as obesity and diabetes. 3 , 4 , 5 , 6 Due to the particularities of children's growth and development, fewer studies have focused on the relationship between periodontal health and systemic diseases at this stage. However, preventive interventions in early life were found to be more beneficial than those in adulthood. 7 Current epidemiological works found early disease experience could influence the risk of developing the same diseases in adulthood, especially metabolic diseases and chronic infections. 8 The effects of these chronic inflammatory diseases on pediatric patients may also be long‐lasting. The aim of this review is to focus on the impact of common metabolic diseases on periodontal health in children, and to provide a theoretical basis for a better understanding of the potential mechanism of systemic metabolic diseases on periodontal disease.

2. DEVELOPMENT OF PERIODONTAL TISSUES IN CHILDREN AND ADOLESCENTS

Compared with adult periodontal health, children's periodontal health receives less attention. Due to the complexity of growth and development in childhood and adolescence (i.e., the structural and functional changes of periodontal structure during the eruption and exfoliation of teeth, 9 , 10 , 11 , 12 the establishment and maturation of oral microflora, 13 , 14 , 15 , 16 and the gradual development of the immune defense system 17 ), which means more attention should be paid to distinguishing the pathological process and normal changes of periodontal tissue with age.

Periodontal tissue consists of periodontal ligament, cementum, and alveolar bone. Typically, children will go through primary dentition, mixed dentition, and young permanent dentition during the growth and development. Each stage has its own characteristic physiological condition of periodontal tissue. Periodontal tissue in deciduous dentition has several characteristics: 1. The color of gingiva is pale red for rich blood vessels (the color will become lighter with age). The epithelium is thin, the degree of keratosis is poor, and the connective tissue of the lamina propria is loose. 18 2. The free gingiva of deciduous teeth is slightly thicker than that of adults, with rounded edges. The width of the attached gingiva is wider in adults than in children. 19 3. The periodontal ligament is wider and the fiber density is lower than that of adults. The alveolar bone has less bone trabecula and calcification, more bone marrow space, and more blood supply and lymphatic drainage. 20 , 21

Due to the changes of hormone levels, the replacement of primary and permanent teeth and the rapid growth of maxillofacial bone in mixed dentition, there are diverse characteristics and individual differences: 1. Gingival may have a darker appearance 22 2. Root migration of junctional epithelium. It is generally believed that the distance between the cementum enamel junction and the alveolar bone crest (CEJ‐ABC) is 1–2 mm in the deciduous stage, indicating that the height of alveolar bone is normal. 18 When the alveolar bone is adjacent to the replaced primary teeth or erupted permanent teeth, the distance of CEJ‐ABC greater than 2 mm is considered physiological. In the study of deciduous teeth in vitro, it was found that 94% of deciduous molars had attachment loss, with an average value of 0.26 ± 0.32 mm. 22 This tiny loss of attachment has no clinical significance and does not necessarily prove the existence of periodontitis, as it may be physiological. Many scholars have their own understanding of this loss of attachment, which may be related to inflammation, marginal periodontitis, or tooth eruption. The apical migration of the junctional epithelium has been related to the physiological apical displacement of the dento‐gingival junction during the eruption of human permanent teeth and the increase in the distance of CEJ‐ABC. 22 A non‐linear increase in the distance from the CEJ to the ABC takes place with age, this phenomenon may be related to facial growth patterns. 23 During facial growth, the maxilla and mandible are displaced in an anterior and inferior directions (primary displacement), a “space” is created and alveolar bone remodeling takes place with a consequent vertical drift of the teeth. 24 Tooth eruption may take place at a faster rate than the ABC deposition. Another factor that should be considered is that the root migration of junction epithelium may be related to the loss of adjacent primary teeth or the eruption of permanent teeth. 25 However, in most cases, the 2 mm CEJ‐ABC distance may be considered as the boundary of “healthy” alveolar bone height. In conclusion, due to the special nature of dental replacement in children and adolescents during growth and development, periodontitis cannot be defined as precisely as it is in adulthood. Therefore, the periodic examination of periodontal tissues is critical for children.

3. PREVALENCE, DIAGNOSIS AND CLASSIFICATION OF CHILDREN'S PERIODONTAL DISEASES

Periodontal disease generally refers to chronic inflammation of periodontal supporting tissues including gingiva, periodontal ligament, and alveolar bone. 26 Periodontal diseases are recognized nowadays as epidemics in children, adolescents, and adults, though they were often considered in the past to be a disease associated with aging. Periodontal health problems in children have not received as much attention as adult periodontal diseases. However, there is less evidence in prospective long‐term studies that periodontitis symptoms in childhood strongly predict the risk of periodontal disease in adulthood. In a longitudinal study spanning 32 years, people with high levels of dental plaque as children and adolescents experienced the highest levels of dental caries and periodontal disease as adults aged. 27 A study of adolescents with severe dental caries in early childhood found that they were more than four times more likely to develop dental caries than age matched controls. They have a higher prevalence of periodontitis, more likely to be overweight or obese, and have a poorer quality of life related to oral health. 28

The classification system of periodontitis agreed at the 1999 International Workshop is generally used at present. It includes gingival diseases, chronic periodontitis, aggressive periodontitis, periodontitis related to systemic diseases, necrotizing periodontal diseases, abscesses of the periodontium, and periodontitis associated with endodontic lesions. 29 The basic periodontal examination has been advocated to screen for periodontal diseases in adults. According to the American Academy of Pediatrics and Dentistry, 30 children and adolescents should have periodic periodontal assessments and records. It includes the community periodontal index and X‐ray film observing the shape of alveolar bone edge for identifying early signs of periodontal destruction. The definition of periodontitis cases depends to a large extent on the disease degree (the number of affected teeth) and the specific threshold of the disease severity (the depth of periodontal pockets of affected teeth, degree of attachment loss and alveolar bone loss). Thus, the estimation of the prevalence of periodontitis in different populations is essentially different. The prevalence of periodontitis in children and adolescents ranges from 2.2% to 80%. In the majority of the population, more than 70% of children over 7 years old suffer from periodontitis. 31 , 32 Loss of periodontal attachment and supporting bone can be found at one or more sites in 5%–9% of children aged 5–11 years and in 5%–46% of children aged 12–15 years. 33 A study found that the prevalence of gingivitis among American teenagers reached 82.1%. 34 Other studies around the world have reported similar results, with the high prevalence of periodontitis in children and adolescents. 35 , 36 According to the epidemiological data, periodontal diseases in children and adolescents are mainly characterized by mild and chronic periodontitis, but at this stage, severe periodontal diseases involving the entire dentition can also occur, and most of the indications are related to systemic diseases. Next, we will summarize the common metabolic diseases in children related to periodontitis.

4. COMMON METABOLIC DISORDERS AND PERIODONTAL MANIFESTATIONS IN CHILDREN

Periodontitis, as a chronic inflammation, is epidemiologically linked to many chronic inflammation driven diseases. 37 , 38 In recent years, there has been a growing body of research on periodontitis and systemic health. The systemic oral health connection is not only the result of common risk factors, but is driven in large part by a variety of microbe‐induced immune mechanisms. 39 , 40 Host immune responses are tightly intertwined with metabolism, and dysfunction of this integrated system may contribute to chronic metabolic inflammatory diseases such as obesity, metabolic syndrome (MetS), and type 2 diabetes mellitus (T2DM). 40 Chronic low‐grade inflammation is a unifying feature and contributing factor to these diseases. Thus, at least in principle, metabolic diseases may affect periodontal inflammatory conditions by increasing the systemic inflammatory burden. 41 , 42 At the same time, periodontal diseases are a common manifestation of some systemic diseases and may have important diagnostic value and therapeutic implications.

4.1. Obesity

Obesity is a chronic metabolic disease, which will lead to a systemic inflammatory state and insulin resistance. Obesity increases the risk of many chronic diseases, including hypertension, dyslipidemia, diabetes, cardiovascular disease and osteoarthritis, with a significant impact on children's physical and mental health. Overweight and obesity among children and adolescents have become one of the most serious global public health concerns in the 21st century. In the past 30 years, the global prevalence of childhood obesity has increased significantly. 43 A study systematically estimated the prevalence of overweight and obesity among children (<20 years old) and adults in 195 countries from 1980 to 2015. It found that since 1980, the childhood obesity rate in more than 70 countries has doubled, and that in some developing countries, the childhood obesity rate has roughly tripled. In many countries, the growth rate of childhood obesity has been higher than that of adult obesity. 44 In China, the latest national prevalence estimates for 2015–2019 were 6.8% for overweight and 3.6% for obesity in children younger than 6 years, 11.1% for overweight and 7.9% for obesity in children and adolescents aged 6–17 years, nearly double compared with 2005. 45 Reeves at al. found that a 1‐kg increase in body weight may increase the risk of periodontal disease by 6% in the group of obese teenagers over 17. 46 A cross‐sectional study found a significant increase in the values of periodontal disease indicators and a higher percentage of pockets with a probing depth exceeding 4 mm in obese children aged 6–13 compared to peers with normal body weight. 47 Moreover, an increased expression of TNF‐α existed in gingival crevicular fluid samples from the obese children. 48 , 49 In conclusion, obese children and adolescents are at a higher risk of periodontal disease.

4.2. Diabetes mellitus

Diabetes can be divided into type I and type II diabetes. Type 1 diabetes mellitus (T1DM) is a type of diabetes caused by destruction of pancreatic beta cells and absolute insulin insufficiency. It usually starts in adolescence and presents as a severe disease state with ketoacidosis. Type 2 diabetes is a type of diabetes mainly caused by insulin resistance or accompanied by insufficient insulin secretion for various reasons, accounting for more than 90% of diabetes patients. The patients were characterized by hyperglycemia, relative insulin deficiency, insulin resistance, etc. Type 1 diabetes is still the most common metabolic disease in children. The incidence rate of type 1 diabetes increases with age, reaching its peak around 10–14 years old, but this disease can occur at any age. 50 Globally, the incidence rate of type 1 diabetes began to increase in the 1950s, with an average annual increase of 3%–4% in the past 30 years. 51 , 52 , 53

An increasing number of children, adolescents and young adults are being diagnosed with type 2 diabetes. In the United States, the prevalence of T2 DM among children and adolescents increased by 30.5% between 2001 and 2009. 54 Data from China suggest that the prevalence of type 2 diabetes in children has increased dramatically over the past 20 years. 55 Several studies have shown that diabetes (types 1 and 2) is an established risk factor for periodontitis and contributes to the increased prevalence, severity and progression of periodontitis. Importantly, accumulating epidemiological evidence suggests a positive association between obesity 56 , 57 , 58 and MetS 59 , 60 , 61 (both diseases are strongly associated with type 2 diabetes) and periodontitis. Children with diabetes had significantly more gingival inflammation and attachment loss than control children. 62 The incidence of chronic gingivitis in patients with type 1 diabetes is significantly higher than that in the healthy population. 63 Gingival index (GI) refers to a comprehensive evaluation of the degree of inflammation of the gums based on their color, shape, texture, and probing bleeding. GI was significantly higher in obese children with T2DM than in obese children without diabetes and children with normal body weight aged. 64 A cohort study of 350 children aged 6–18‐year‐old found a strong positive association between mean hemoglobin A1c and periodontitis. 65 These studies suggest that both type I diabetes and type II diabetes increase the risk of periodontal disease in children and adolescents.

4.3. Metabolic syndrome

The “MetS” is a complex syndrome of metabolic disorders caused by overnutrition, sedentary lifestyle and obesity. Mets comprises a clustering of abdominal obesity, insulin resistance, dyslipidemia, and elevated blood pressure. Mets is associated with other comorbidities, including a prothrombotic state,a proinflammatory state and nonalcoholic fatty liver disease (NAFLD). 66 Since MetS is a cluster of different conditions, rather than a single disease, leading to the development of multiple concurrent definitions. Although there is no international common definition of the MetS in children and adolescents, all definitions include obesity as a prerequisite for the development of the MetS even in children. Obesity is one of the major cardiometabolic risk factors, which is closely related to other metabolic diseases such as hyperlipidemia, hyperinsulinemia, and hypertension. A consensus definition was published in 2007 by the International Diabetes Federation, which agreed that 10‐year‐old children met the criteria for MetS if they had at least three of the following risk factors: high waist circumference, hypertension, insulin resistance, and dyslipidemia. 67 A Spanish cross‐sectional study published in 2011 showed that Mets occurred in 8%–32% of prepubertal children and 9.7%–41.2% of adolescent children. 68 Furthermore, Reinehr et al. compared different definitions of MetS in a cohort of 1205 children and found a wide prevalence range from 6% to 39%. 69 Notably, MetS increases the risk of development and progression of periodontitis. 70 Boys diagnosed with MetS had significantly higher levels of gingival crevicular fluid tumor necrosis factor alpha (TNF‐α) and more sites with gingival bleeding compared with healthy boys. 71 What's more, the number of positive MetS parameters, and HDL‐cholesterol parameter showed a significant association with gingivitis in adolescents. Adolescents with a larger number of positive MetS parameters, and low HDL‐cholesterol level were likely to have gingivitis. 72

4.4. Metabolic bone disease

4.4.1. Pediatric rickets

Pediatric rickets, characterized by bone‐deformities, is due to defective mineralization and disruption of chondrocyte maturation in growing bones. 73 , 74 Pediatric rickets caused by Vitamin D insufficiency and disorders of calcium and phosphorus metabolism is a major public health problem worldwide, with the reported prevalence of up to 70% in some developing countries. 75 The Rochester Epidemiology Project reported that the incidence of rickets has been increasing substantially over the past 40 years (0, 2.2, 3.7, and 24.1 per 100,000 in the 1970s, 1980s, 1990s, and 2000s, respectively). 76

4.4.2. Osteogenesis imperfecta, Ehlers Danlos syndrome, and Marfan's syndrome

Hypophosphatemic chondropathy is a disorder of bone mineralization caused by excessive urinary phosphorus excretion. 77 X‐linked hypophosphatemic chondropathy is the most common cause of hereditary chondropathy, affecting approximately 1 in 20,000 live births. 78 , 79 , 80 Other less common causes of hereditary hypophosphatemia include autosomal dominant hypophosphatemia, autosomal recessive hypophosphatemia and hereditary hypophosphatemic chondropathy with hypercalciuria. Acquired hypophosphatemic chondropathy can be caused by tumor induced osteomalacia and Fanconi syndrome. 77 Congenital X‐linked hypophosphatemic rickets have more pronounced systemic symptoms and oral manifestations with marked skeletal and dental mineralization disorders. 81 , 82 Baroncelli at al. found children with X‐linked hypophosphatemic rickets had increased incidence of periodontal disease. 82

Osteogenesis imperfecta, also known as brittle bone disease, is the most common inherited bone disorder with an incidence of 0.79 per 10,000 newborns. 83 Osteogenesis imperfecta is a heterogeneous group of inherited connective tissue disorders associated with abnormal type I collagen leading to a variety of clinical manifestations. 84 , 85 There are four categories of osteogenic defects. Type I; Mild phenotype, type II; Perinatal fatal, type III; Progressive deformity, most severe surviving form, type IV; Intermediate severity between types I and III. 86 EDs are a group of inherited connective tissue disorders caused by collagen and elastin, leading to a variety of disorders. There are 13 types, many of which are associated with increased skeletal and capillary fragility in children and adults. 87 MFS is an autosomal dominant connective tissue disorder with a reported incidence of 1 in 3000–5000 individuals. 88 MFS has a wide range of clinical manifestations, including cardiovascular, musculoskeletal, cutaneous, and central nervous systems.

4.5. Non‐alcoholic fatty liver

NAFLD is the most common cause of chronic liver disease in western countries. 89 , 90 In particular, there is an alarming increase in the number of children affected by NAFLD, which is supported by high prevalence data, ranging from 3% to 12% in the general pediatric population and up to 70%–90% in young obese individuals. 91 Childhood NAFLD is associated with several factors of MetS, such as abdominal (central) obesity, dyslipidemia (hypertriglyceridemia and/or hypercholesterolemia), and insulin resistance. 92 Thus, NAFLD can be considered a hepatic manifestation of MetS. The NAFLD shows a significant association with clinical microbial periodontal parameters. 93 A similar association was observed between periodontal disease and NAFLD risk (OR = 1.19, 95% CI = 1.06–1.33). 46

5. THE MECHANISM OF METABOLIC DISEASES AFFECTING PERIODONTAL HEALTH MANAGEMENT IN CHILDREN

The identification of etiology is critical for the prevention and treatment of periodontal diseases. However, the specific etiological mechanisms of periodontal disease have not been fully understood. Currently, the recognized etiologies are dysbiosis of oral microbiome and dysregulated host immune response. 40 Metabolic diseases can not only affect the oral and intestinal microbiota balance, but also destroy the host immune function. A poorly controlled host immune response, in turn, can generate a self‐perpetuating pathogenic cycle where dysbiosis and inflammation reinforce each other by forming a positive feedback loop. 94

5.1. Effects of metabolic disorders on host immunity

As previously mentioned, common metabolic diseases in children are most frequently associated with abnormal glucose and lipid metabolism. Therefore, we mainly focused on the effects of obesity and diabetes on host immunity here. Pediatric obesity has both short‐term and long‐term impacts as the physiological changes altered by obesity occur at critical developmental stages. These comorbidities are caused by obesity‐related low‐grade inflammation, characterized by abnormal cytokine production and macrophage infiltration into adipose tissue. 95 Large differences in leukocyte numbers as well as in phagocytic and oxidative burst activity of monocytes, have been reported between normal and obese individuals (Figure 1). 96 Not only that, insulin target tissues such as adipose tissue, liver, muscle, and pancreatic islets are under attack from chronic inflammation in children with obesity and diabetes. 97 , 98 Adipose tissue‐associated inflammation elicits a wide variety of immune responses, involving early neutrophil participation followed by macrophage involvement and mast cell polarization. 96 These cellular adaptations lead to altered metabolic profiles in early life and premature death in adulthood. 99 Studying the causes of obesity‐related inflammation in pediatric populations may identify opportunities to prevent progression to serious comorbidities such as hypertension, abnormal glucose metabolism, and dyslipidemia. These observations have led to the term “immunometabolism,” which encompasses the potential interplay between immune processes and metabolic defects. 100 In the context of pediatric obesity, adipose tissue displays unhealthy expansion, with excessive accumulation of adipocytes, leading to hypoxic conditions in this tissue. 101 The hypoxic environment in turn triggers the recruitment of monocytes that subsequently convert to mature adipose tissue macrophages (ATMs). 102 Proinflammatory macrophage recruitment, accumulation, and activation in metabolic tissues are the ultimate drivers of chronic low‐grade inflammation. Although macrophages are the major effector cell type, other types of immune cells also participate in these inflammatory processes. 103 , 104 The proinflammatory polarization state of ATMs leads to the release of a large number of inflammatory cytokines. Additionally, macrophages are capable of secreting chemotactic molecules such as TNF‐α. 103 In a cohort study of obese Mexican American children, alterations in blood plasma cytokines/chemokine levels among healthy weight, overweight, and obese children were found. 105 Serum concentrations of interleukin‐8 and TNF‐a were higher in the obese children. The release of TNF‐a not only recruits other inflammatory factors involving interleukin‐1β (IL‐1β) and interleukin‐6 (IL‐6) 106 but also can activate various intracellular signaling molecules, such as JNK and IKKB, which are key components of the inflammatory signaling system, leading to impaired insulin action. 107 The adipose tissue of obese children expresses high levels of TNF‐α and its inhibitor can improve insulin sensitivity and glucose tolerance abnormalities which are vital findings in establishing the link between immune cells and metabolic dysfunction. 104 In a rodent model of obesity, normalization of TNF‐α decreased insulin resistance. 104 Another key component of inflammation activation is a multimeric protein complex called the “inflammasome,” which is activated by cellular nutrients such as glucose and free fatty acids to induce IL‐1β production (Figure 1). 107 , 108 Interestingly, obesity has been demonstrated to exacerbate thymic senescence, reducing T‐cell diversity, and therefore potentially affecting immune surveillance. 109

FIGURE 1.

FIGURE 1

The influence of disorders in lipid and glucose metabolism on periodontal inflammation. Leptin and pro‐inflammatory cytokines are released from adipose tissue in obesity to recruit and activate pro‐inflammatory immune cells. These pro‐inflammatory cytokines and immune cells will follow the blood into metabolic organs, such as the liver, causing chronic inflammation and affecting the process of glucose and lipid metabolism. Glucose and free fatty acids in the blood, among others, activate the inflammasome, which releases IL‐1β, creating a highly pro‐inflammatory environment in periodontium. IL‐1 β, interleukin‐1β.

On the other hand, obesity has a variety of impacts on adipose cells, particularly the endocrine effects of adipokines (Figure 1). The main immunomodulatory factors derived from adipose include leptin, adiponectin, and proinflammatory cytokines: TNF‐α, IL‐6, and IL‐1β. 110 , 111 The levels of adiponectin, declined during obesity, have been shown to affect natural killer cell cytotoxicity and cytokine production. 112 At the same time, excessive proinflammatory cytokines produced by the white adipose tissue of obese individuals can be secreted into the blood and may have long‐term effects. However, how the long‐term production of these cytokines affects cellular immunity remains to be elucidated. Prolonged exposure to proinflammatory cytokines may decrease the sensitivity of immune cells to inflammatory responses during actual infections. 113 Compared to proinflammatory cytokines, the pleiotropic effects of leptin on immune cell activity are highly diverse and complex. 114 Almost all cells of the innate immune system express an isoform of the leptin receptor OBRb, which is required for leptin signaling. 115 In monocytes, leptin upregulates the production of the proinflammatory cytokines IL‐6, IL‐12, and TNF‐α, as well as phagocytic function. 116 In neutrophils from healthy humans, leptin signaling induces chemotaxis, production of reactive oxygen species, and affects oxidative capacity. 117 Natural killer cells are greatly influenced by leptin signaling, including differentiation, proliferation, and activation. 118 Ob/ob mice, an animal model of obesity, provided important information about the role of leptin in host defense and immunity, with nearly all innate immune cells being impaired in mice lacking intact leptin signaling. 119 In conclusion, the clinical observations and the results of animal experiments suggest that obesity impairs the normal functioning of the immune system.

Similar to obesity, diabetes also leads to hyperreactivity of the body's immune system and immune cells. T1DM is a long‐term and chronic autoimmune disorder, in which the immune system attacks the pancreatic cells. 120 Early evidence in rats and humans suggested a defective neutrophil response in diabetes. 121 Subsequent studies have shown that diabetic patients develop a hyperinflammatory, monocytic phenotype characterized by elevated levels of proinflammatory mediators in the periodontal sulcus fluid. 122 A number of experimental and clinical data have clearly established that adipose tissue, liver, muscle, and pancreas are sites of inflammation in the presence of obesity and T2DM. 123 , 124 , 125 An infiltration of macrophages into these tissues is seen in animal models of obesity and diabetes as well as in obese human individuals with MetS or T2DM. 126 , 127 Therefore, diabetes may increase the local (infected site) and systemic inflammatory response to bacteria. 128 Moreover, the production of IL‐1 and TNF‐α was raised in diabetes by increasing the polarization of M1 macrophages, which may exacerbate periodontal disease. 129 Dendritic cells regulate adaptive immune response by activating lymphocytes. Diabetes may potentially affect dendritic cells, increasing the production of Th1 or Th17 lymphocytes or reducing the formation of regulatory T cells. 128 Therefore, the role of the immune inflammatory response in the pathogenesis and relationship between periodontitis and metabolic disorders cannot be ignored. The chronic inflammatory environment caused by metabolic disorders not only increases the susceptibility of periodontitis, but also affects the regeneration of periodontal tissues. Regulation based on immune response is a hot topic and research direction in the prevention and treatment of periodontitis and metabolic disorders.

5.2. Disrupted equilibrium of the oral microbiome in metabolic disorders

The oral cavity is the second largest microbiota in the human body. Currently about 500 different bacteria have been identified in the oral cavity. 129 The microbiome and the host's immune system are interdependent and co‐develop from birth. Thus, the microbiota shapes the development of the immune system, which in turn determines the composition of the microbiota. The composition of the oral microbiota varies according to different life events: dietary diversification, hormonal changes (puberty and menstrual period), administration of drugs such as antibiotics, and age. 130 Another source of alterations in the oral microbiota is changes in the balance of systemic health, generally associated with systemic diseases such as metabolic disorders. 131

Levels of several bacteria are higher in the oral cavity of obese individuals than in nonobese controls, and these bacterial species appear to serve as biological indicators for the development of overweight conditions. Obesity is linked to subgingival microbiota disturbance in adolescents. Previous study has demonstrated that traditional periodontal pathogens such as Porphyromonas gingivalis, A. actinomycetemcomitans, and P. micra, 132 , 133 are present a threefold increase in the dental biofilm of obese adolescents compared with the normal weight controls. A significantly higher number of bacteria from the Streptococcus genus were found in the group of children with well‐controlled diabetes mellitus when compared to the healthy children. 134 Glycemic control of childhood type I diabetes was also associated with the complexity and abundance of microbial communities in dental plaque, as discovered by 16S rRNA sequencing. Besides, several studies have reported diabetes induced changes in the oral microbiota. Examples of these bacterial changes include: (1) increased phagocyte function in patients with diabetes 135 ; and (2) P. gingivalis, Tannerella forsythia, 136 , 137 Capnocytophaga, Pseudomonas, bergeria, Sphingomonas, Corynebacterium, Propionibacterium, and Neisseria were increased in hyperglycemic individuals. 138 Compared with the healthy population, the salivary bacterial spectrum of MetS patients has changed with decreased diversity of bacterial species. 139 When further stratified, both the MetS healthy periodontium and MetS periodontitis subject groups exhibited relatively distinct microbial profiles from each other and from those of healthy subjects. In addition, the MetS periodontitis group showed greater enrichment of canonical periodontal “Red complex” pathogens, namely forsythia, spiral hilum, and Treponema. However, for P. gingivalis, no significant difference was detected between the MetS patients and healthy people. 140 Periodontopathic bacteria, particularly P. gingivalis, have been associated with the pathogenesis and progression of NAFLD on the basis of clinical research and immunology. 141 The oral derived bacterium P. gingivalis can be detected in both liver and feces of patients with NAFLD. Studies have identified a possible oral‐gut‐liver axis in NAFLD patients. 142 , 143 Similarly, an American study showed the transfer of oral bacteria into atherosclerotic plaques. 144 Furthermore, they described the potential role of oral microbiota biomarkers in the development of vascular diseases. 144 , 145 By sequencing the oral microbiota, they identified a positive correlation between the abundance of gram‐negative oral bacteria and the blood levels of total cholesterol and low density lipoprotein in patients with atherosclerosis. 146 , 147 , 148 It suggests translocation of oral bacteria into the systemic circulation.

The close interaction between oral microbes and metabolic diseases have also been found in animal experiments. Oral microflora of diabetic mice was transferred from diabetic hosts to germ‐free mice and compared with bacteria transferred from normoglycemic mice to similar hosts. Compared with bacteria from the normoglycemic control group, the transfer from the hyperglycemic mice stimulated more infiltration of neutrophils and the expression of bone resorbing cytokines (IL‐6 and RANKL), increasing the number of osteoclasts and more periodontal bone loss. 149 Moreover, inoculation of P. gingivalis to the mouth of ApoE‐deficient mice caused an increase in the number of Bacteroides and a decrease in the number of Scleroderma, which were closely related to endotoxemia and systemic inflammatory responses. 150 Many clinical studies have found that the development of atherosclerosis can be suppressed correspondingly after periodontitis is controlled in patients. 151 , 152 By inducing obese mice with a high‐fat diet, the researchers found that obese mice developed alveolar bone resorption and alterations in oral microbiota similar to those induced by actinomycetes. Obesity‐induced alveolar bone resorption was effectively improved by oral topical application of antibacterial agents in mice with a high‐fat diet. 153

Metabolic diseases can not only affect the colonization of oral microbiota, but also break the balance of intestinal microecology, which is closely related to the development of children's immune system. 154 The dysbiosis of oral microbiome cannot be improved solely through antibiotic treatment, but requires adjustments to the systemic immune system. In conclusion, metabolic diseases affect the whole‐body microbiome to a certain extent. Such changes may break the balance between the host immunity and the microbiome, causing chronic inflammation and aggravating periodontitis. This implicates a guiding direction for future research on the treatment of metabolic diseases complicated with periodontitis, but it still needs further research.

6. CONCLUSION AND FUTURE DIRECTIONS

As mentioned before, systemic metabolic diseases are closely related to the periodontal health of children and adolescents, giving some advice to the clinicians in the treatment. For physicians, enough attention should be paid to whether the patient has periodontal diseases when treating systemic metabolic diseases. The risk of systemic disease should be considered for oral practitioners in periodontitis patients with poor therapeutic effect of topical treatment. In conclusion, concurrent therapy with control of infection and inflammation should be used in adolescents and children with both metabolic and periodontal conditions. For example, screening for HbA1c is recommended at the time of the children's oral examination, with the aim of selecting patients at high risk for periodontitis and tooth loss or for incidental findings of an underlying cause of disease. There is some evidence that showed that nonsurgical treatment of periodontitis did improve glycemic control in patients with diabetes. 155 , 156 , 157 The study found that non‐surgical periodontal treatment resulted in a 0.24%–1.21% point decrease in glycated hemoglobin after 3 months of intervention. 158 However, the effect of hypoglycemic agents on periodontal status remains unclear. Studies have shown that only in animal experiments can the application of rosiglitazone improve tissue damage associated with periodontitis in diabetic rats. 159 , 160 The effect of the diabetes drugs on periodontitis may mainly depend on its anti‐inflammatory potential, rather than the reduction of glycosylated hemoglobin.

Certainly, based on epidemiological data, the incidence of periodontal disease is not as high in children or adolescents as it is in adults. Due to the age‐dependent response of gingival tissue to oral bacteria, infants and young children tend to exhibit diminished clinical signs of gingival inflammation, even in the presence of a substantial microbial, especially if the severity of gingival inflammation does not appear to be proportional to plaque accumulation. 161 , 162 , 163 More importantly, the available literature does not strongly support the idea that the periodontal pathogens causing periodontitis in adults have their onset later in life. Indeed, these potential pathogens appear to be acquired early in life and at low levels in the oral microbiome of children and adolescents. 164 Once an individual's native oral microbial ecology is established, it seems difficult for alien bacteria to gain a foothold for permanent colonization. What seems to occur is that changes in the oral environment contribute to the selection of the emergence of various taxa, genera and species that may initiate the disease process. 161 Thus, alterations in oral microbial communities and predominant bacterial genera may result in the acquisition of a “dangerous microbial ecology” early in immune system development when children and adolescents have metabolic disorders. 30 Therefore, we may have underestimated the long‐term effects of gingivitis in children and adolescents. It can be expected that in obese and even overweight children and adolescents, these altered systemic responses may be reflected in gingival tissue early in life and “seed” the long‐term risk of periodontal tissue destruction. Thus, initiating oral bacterial translocation in response to systemic challenges at a younger age may have long‐term consequences. 165 These chronic oral infections in children, combined with obesity and altered general health status, may have a significant cumulative impact on the risk of cardiovascular disease, diabetes onset, and other chronic inflammatory diseases.

AUTHOR CONTRIBUTIONS

Yunyan Zhang: Conceptualization (lead); writing‐original draft (lead). Tong‐Chuan He: Conceptualization (supporting); writing‐review and editing (equal). Hongmei Zhang: Conceptualization (supporting); writing‐review and editing (equal).

CONFLICT OF INTEREST STATEMENT

The authors declare no competing conflicts of interests. Tong‐Chuan He is one of the Editors‐in‐Chief of Pediatric Discovery. To minimize bias, he was excluded from all editorial decision making related to the acceptance of this article for publication.

ETHICS STATEMENT

Not applicable.

ACKNOWLEDGMENTS

This reported work was supported in part by research grants from the National Natural Science Foundation of China (#81870758 to HZ) and the Natural Science Foundation of Chongqing (#cstc2021jcyj‐msxmX0560 to HZ).

Zhang Y, He T‐C, Zhang H. The impact of metabolic disorders on management of periodontal health in children. Pediatr Discov. 2024;2(1):e38. 10.1002/pdi3.38

Contributor Information

Tong‐Chuan He, Email: tche@uchicago.edu.

Hongmei Zhang, Email: hmzhang@hospital.cqmu.edu.cn.

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request.

REFERENCES

  • 1. Kinane DF, Stathopoulou PG, Papapanou PN. Periodontal diseases. Nat Rev Dis Prim. 2017;3(1):17038. [DOI] [PubMed] [Google Scholar]
  • 2. Hajishengallis G, Chavakis T. Local and systemic mechanisms linking periodontal disease and inflammatory comorbidities. Nat Rev Immunol. 2021;21(7):426‐440. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Aldridge JP, Lester V, Watts TL, Collins A, Viberti G, Wilson R. Single‐blind studies of the effects of improved periodontal health on metabolic control in type 1 diabetes mellitus. J Clin Periodontol. 1995;22(4):271‐275. [DOI] [PubMed] [Google Scholar]
  • 4. Preshaw PM, Alba AL, Herrera D, et al. Periodontitis and diabetes: a two‐way relationship. Diabetologia. 2012;55(1):21‐31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Wang C‐WJ, McCauley Laurie K. Osteoporosis and periodontitis. Curr Osteoporos Rep. 2016;14(6):284‐291. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Genco RJ. Current view of risk factors for periodontal diseases. J Periodontol. 1996;67(10):1041‐1049. [DOI] [PubMed] [Google Scholar]
  • 7. Dai W, Liu X, Han S, Li X, Xu Y, Yu Y. Influence of adipose tissue immune dysfunction on childhood obesity. Cytokine Growth Factor Rev. 2022;65:27‐38. [DOI] [PubMed] [Google Scholar]
  • 8. Jacobs David R, Woo Jessica G, Sinaiko Alan R, et al. Childhood cardiovascular risk factors and adult cardiovascular events. N Engl J Med. 2022;386(20):1877‐1888. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Soskolne AW, Bimstein E. Histomorphological study of the shedding process of human deciduous teeth at various chronological ages. Archs Oral Biol. 1977;22(5):331‐335. [DOI] [PubMed] [Google Scholar]
  • 10. Bimstein E, Eidelman E. Morphological changes in the attached and keratinized gingiva and gingival sulcus in the mixed dentition period. A 5‐year longitudinal study. J Clin Periodontol. 1988;15(3):175‐179. [DOI] [PubMed] [Google Scholar]
  • 11. Matsson L. Factors influencing the susceptibility to gingivitis during childhood‐a review. Int J Paediatr Dent. 1993;3:119‐127. [DOI] [PubMed] [Google Scholar]
  • 12. Peretz B, Machtei EM, Bimstein E. Periodontal status in childhood and early adolescence: three year follow up. J Clin Pediatr Dent. 1996;20:226‐232. [PubMed] [Google Scholar]
  • 13. Bailit HL, Baldwin DC, Hunt EE. The increasing prevalence of gingival Bacteroides melaninogenicus with age in children. Archs Oral Biol. 1964;9(4):435‐438. [DOI] [PubMed] [Google Scholar]
  • 14. Kelstrup J. The incidence of bacteroides melaninogenicus inhuman gingival sulci, and its prevalence in the oral cavity at different ages. Periodontics. 1966;4:14‐18. [PubMed] [Google Scholar]
  • 15. Socransky SS, Manganiello SD. The oral microbiota of man from birth to senility. J Periodontol. 1971;42(8):485‐496. [DOI] [PubMed] [Google Scholar]
  • 16. Nakagawa S, Tonogi N, Kubo S, Machida Y, Okuda K, Takazoe I. Subgingival microflora in children of early childhood, school age and circumpuberty. The proportion and frequency of gram‐negative bacteria in periodontally healthy and gingivitis groups. Shoni Shikagaku Zasshi. 1991;29:72‐85. [PubMed] [Google Scholar]
  • 17. Katharina SA, Hollander Georg A, Andrew M. Evolution of the immune system in humans from infancy to old age. Proc Biol Sci. 2015;282:20143085. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Bimstein E. Periodontal health and disease in children and adolescents. Pediatr Clin. 1991;38(5):1183‐1207. [DOI] [PubMed] [Google Scholar]
  • 19. Harokopakis‐Hajishengallis E. Physiologic root resorption in primary teeth: molecular and histological events. J Oral Sci. 2007;49:1‐12. [DOI] [PubMed] [Google Scholar]
  • 20. Oh T‐J, Eber R, Wang H‐L. Periodontal diseases in the child and adolescent. J Clin Periodontol. 2002;29(5):400‐410. [DOI] [PubMed] [Google Scholar]
  • 21. Pinkham JR, Casamassimo PS, Fields HW, McTigue DJ, Nowak A. Pediatric Dentistry. Elsevier Saunders; 2005. [Google Scholar]
  • 22. Bimstein E, Matsson L. Growth and development considerations in the diagnosis of gingivitis and periodontitis in children. Pediatr Dent. 1999;21:186‐191. [PubMed] [Google Scholar]
  • 23. Bimstein E, Soskolne AW. A radiographic study of interproximal alveolar bone crest between the primary molars in children. ASDC J Dent Child. 1988;55:348‐350. [PubMed] [Google Scholar]
  • 24. Bishara SE. Facial and dental changes in adolescents and their clinical implications. Angle Orthod. 2000;70:471‐483. [DOI] [PubMed] [Google Scholar]
  • 25. Sjödin B, Matsson L. Marginal bone level in the normal primary dentition. J Clin Periodontol. 1992;19(9):672‐678. [DOI] [PubMed] [Google Scholar]
  • 26. Peres Marco A, Macpherson Lorna MD, Weyant Robert J, et al. Oral diseases: a global public health challenge. Lancet. 2019;394(10194):249‐260. [DOI] [PubMed] [Google Scholar]
  • 27. Broadbent Jonathan M, Murray TW, Boyens John V, Poulton R. Dental plaque and oral health during the first 32 years of life. J Am Dent Assoc. 2011;142(4):415‐426. [DOI] [PubMed] [Google Scholar]
  • 28. D’Mello GI. Long‐term Oral and General Health Outcomes in Adolescents Who Had Extensive Decay in Early Childhood. Doctor of Clinical Dentistry Thesis. University of Otago; 2011. [Google Scholar]
  • 29. Armitage G. Development of a classification system for periodontal diseases and conditions. Ann Periodontol. 1999;4:1‐6. [DOI] [PubMed] [Google Scholar]
  • 30. Bimstein E, Huja PE, Ebersole Jeffrey L. The potential lifespan impact of gingivitis and periodontitis in children. J Clin Pediatr Dent. 2013;38(2):95‐99. [DOI] [PubMed] [Google Scholar]
  • 31. Saxén L. Juvenile periodontitis. J Clin Periodontol. 1980;7:1‐19. [DOI] [PubMed] [Google Scholar]
  • 32. Walker JD, MacKenzie IE. Periodontal diseases in children and adolescents. In: Stewart RE, Barber TK, Troutman KC, et al., eds. Dentistry. Scientific Foundations and Clinical Practice. CV Mosby Company; 1982:62. [Google Scholar]
  • 33. American Academy of Periodontology‐Research . Science and therapy committee, periodontal diseases of children and adolescents. Pediatr Dent. 2008;30:240‐247. [PubMed] [Google Scholar]
  • 34. Albandar JM, Brown LJ, Brunelle JA, Loe H. Gingival state and dental calculus in early‐onset periodontitis. J Periodontol. 1996;67(10):953‐959. [DOI] [PubMed] [Google Scholar]
  • 35. Albandar JM, Muranga MB, Rams TE. Prevalence of aggressive periodontitis in school attendees in Uganda. J Clin Periodontol. 2002;29(9):823‐831. [DOI] [PubMed] [Google Scholar]
  • 36. Gjermo P, Rosing CK, Susin C, Oppermann R. Periodontal diseases in central and South America. Periodontol 2000. 2002;29(1):70‐78. [DOI] [PubMed] [Google Scholar]
  • 37. Fi C, Wo W. Periodontal disease and systemic diseases: an overview on recent progresses. J Biol Regul Homeost Agents. 2021;35:1‐9. [PubMed] [Google Scholar]
  • 38. Hajishengallis G. Interconnection of periodontal disease and comorbidities: evidence, mechanisms, and implications. Periodontol 2000. 2022;89(1):9‐18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Loos Bruno G, Van Dyke Thomas E. The role of inflammation and genetics in periodontal disease. Periodontol 2000. 2020;83(1):26‐39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Hajishengallis G. Periodontitis: from microbial immune subversion to systemic inflammation. Nat Rev Immunol. 2015;15(1):30‐44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Reeves AF, Rees JM, Schiff M, Hujoel P. Total body weight and waist circumference associated with chronic periodontitis among adolescents in the United States. Arch Pediatr Adolesc Med. 2006;160(9):894‐899. [DOI] [PubMed] [Google Scholar]
  • 42. Zhao B, Jin C, Li L, Wang Y. Increased expression of TNF‐α occurs before the development of periodontitis among obese Chinese children: a potential marker for prediction and prevention of periodontitis. Oral Health Prev Dent. 2016;14(1):71‐75. [DOI] [PubMed] [Google Scholar]
  • 43. Gregg EW, Shaw JE. Global health effects of overweight and obesity. N Engl J Med. 2017;377(1):80‐81. [DOI] [PubMed] [Google Scholar]
  • 44. GBD 2015 Obesity Collaborators , Afshin A, Forouzanfar Mohammad H, et al. Health effects of overweight and obesity in 195 countries over 25 years. N Engl J Med. 2017;377(1):13‐27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Pan X‐F, Wang L, Pan A. Epidemiology and determinants of obesity in China. Lancet Diabetes Endocrinol. 2021;9(6):373‐392. [DOI] [PubMed] [Google Scholar]
  • 46. Lundin M, Yucel‐Lindberg T, Dahllöf G, Marcus C, Modéer T. Correlation between TNFalpha in gingival crevicular fluid and body mass index in obese subjects. Acta Odontol Scand. 2004;62(5):273‐277. [DOI] [PubMed] [Google Scholar]
  • 47. Janem WF, Scannapieco FA, Sabharwal A, et al. Salivary inflammatory markers and microbiome in normoglycemic lean and obese children compared to obese children with type 2 diabetes. PLoS One. 2017;12(3):e0172647. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Lehmann‐KalataSurdacka APA, Ciężka‐Hsiao E, Swora‐Cwynar E, Grzymisławski M. Clinical parameters of oral cavity, physical and microbiological properties of saliva in patients with obesity [in Polish]. Dent Med Probl. 2015;52(4):415‐423. [Google Scholar]
  • 49. Scorzetti L, Marcattili D, Pasini M, Mattei A, Marchetti E, Marzo G. Association between obesity and periodontal disease in children. Eur J Paediatr Dent. 2013;14(3):181‐184. [PubMed] [Google Scholar]
  • 50. Weng J, Zhou Z, Guo L, et al. Incidence of type 1 diabetes in China, 2010–13: population based study. BMJ. 2018;360:j5295. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Diamond Project Group . Incidence and trends of childhood type 1 diabetes worldwide 1990–1999. Diabet Med. 2006;23(8):857‐866. [DOI] [PubMed] [Google Scholar]
  • 52. Patterson CC, Harjutsalo V, Rosenbauer J, et al. Trends and cyclical variation in the incidence of childhood type 1 diabetes in 26 European centres in the 25 year period 1989–2013: a multicentre prospective registration study. Diabetologia. 2019;62(3):408‐417. [DOI] [PubMed] [Google Scholar]
  • 53. Gale EA. The rise of childhood type 1 diabetes in the 20th century. Diabetes. 2002;51(12):3353‐3361. [DOI] [PubMed] [Google Scholar]
  • 54. Dabelea D, Mayer‐Davis EJ, Saydah S, et al. Prevalence of type 1 and type 2 diabetes among children and adolescents from 2001 to 2009. JAMA. 2014;311(17):1778‐1786. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Fu J, Prasad HC. Changing epidemiology of metabolic syndrome and type 2 diabetes in Chinese youth. Curr Diabetes Rep. 2014;14(1):447. [DOI] [PubMed] [Google Scholar]
  • 56. Shimazaki Y, Egami Y, Matsubara T, et al. Relationship between obesity and physical fitness and periodontitis. J Periodontol. 2010;81(8):1124‐1131. [DOI] [PubMed] [Google Scholar]
  • 57. Chaffee Benjamin W, Weston Scott J. Association between chronic periodontal disease and obesity: a systematic review and meta‐analysis. J Periodontol. 2010;81(12):1708‐1724. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Kim E‐J, Jin B‐H, Bae K‐H. Periodontitis and obesity: a study of the Fourth Korean national health and nutrition examination survey. J Periodontol. 2011;82(4):533‐542. [DOI] [PubMed] [Google Scholar]
  • 59. Jepsen S, Suvan J, Deschner J. The association of periodontal diseases with metabolic syndrome and obesity. Periodontol 2000. 2020;83(1):125‐153. [DOI] [PubMed] [Google Scholar]
  • 60. Timonen P, Niskanen M, Suominen‐Taipale L, Jula A, Knuuttila M, Ylöstalo P. Metabolic syndrome, periodontal infection, and dental caries. J Dent Res. 2010;89(10):1068‐1073. [DOI] [PubMed] [Google Scholar]
  • 61. Morita T, Yamazaki Y, Mita A, et al. A cohort study on the association between periodontal disease and the development of metabolic syndrome. J Periodontol. 2010;81(4):512‐519. [DOI] [PubMed] [Google Scholar]
  • 62. Ka K, Rousseau MC, Lambert M, et al. Metabolic syndrome and gingival inflammation in Caucasian children with a family history of obesity. J Clin Periodontol. 2013;40(11):986‐993. [DOI] [PubMed] [Google Scholar]
  • 63. Lalla E, Cheng B, Lal S, et al. Diabetes‐related parameters and periodontal conditions in children. J Periodontal Res. 2007;42(4):345‐349. [DOI] [PubMed] [Google Scholar]
  • 64. Recep O, Simsek Sera, Zerrin O, et al. The influence of type‐1 diabetes mellitus on dentition and oral health in children and adolescents. Yonsei Med J. 2008;49:357‐365. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Weintraub JA, Lopez Mitnik G, Dye BA. Oral diseases associated with nonalcoholic fatty liver disease in the United States. J Dent Res. 2019;98(11):1219‐1226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Cornier M‐A, Dabelea D, Hernandez Teri L, et al. The metabolic syndrome. Endocr Rev. 2008;29(7):777‐822. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Zimmet P, Alberti G, Kaufman F, et al. The metabolic syndrome in children and adolescents. Lancet. 2007;369(9579):2059‐2061. [DOI] [PubMed] [Google Scholar]
  • 68. Olza J, Gil‐Campos M, Leis R, et al. Presence of the metabolic syndrome in obese children at prepubertal age. Ann Nutr Metab. 2011;58(4):343‐350. [DOI] [PubMed] [Google Scholar]
  • 69. Reinehr T, de Sousa G, Toschke AM, Andler W. Comparison of metabolic syndrome prevalence using eight different definitions: a critical approach. Arch Dis Child. 2007;92(12):1067‐1072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Baroncelli GI, Angiolini M, Ninni E, et al. Prevalence and pathogenesis of dental and periodontal lesions in children with X‐linked hypophosphatemic rickets. Eur J Paediatr Dent. 2006;7:61‐66. [PubMed] [Google Scholar]
  • 71. Chen Y, Yang Y‐C, Zhu B‐L, Wu C, Lin R, Zhang X. Association between periodontal disease, tooth loss and liver diseases risk. J Clin Periodontol. 2020;47(9):1053‐1063. [DOI] [PubMed] [Google Scholar]
  • 72. Lee K‐S, Lee SG, Kim E‐K, et al. Metabolic syndrome parameters in adolescents may be determinants for the future periodontal diseases. J Clin Periodontol. 2015;42(2):105‐112. [DOI] [PubMed] [Google Scholar]
  • 73. Holick Michael F. Resurrection of vitamin D deficiency and rickets. J Clin Invest. 2006;116(8):2062‐2072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74. Miller Walter L, Imel Erik A. Rickets, vitamin D, and Ca/P metabolism. Horm Res Paediatr. 2022;95(6):579‐592. [DOI] [PubMed] [Google Scholar]
  • 75. Prentice A. Nutritional rickets around the world. J Steroid Biochem Mol Biol. 2013;136:201‐206. [DOI] [PubMed] [Google Scholar]
  • 76. Thacher Tom D, Fischer Philip R, Tebben Peter J, et al. Increasing incidence of nutritional rickets: a population‐based study in Olmsted County, Minnesota. Mayo Clin Proc. 2013;88(2):176‐183. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Baroncelli Giampiero I, Toschi B, Bertelloni S. Hypophosphatemic rickets. Curr Opin Endocrinol Diabetes Obes. 2012;19(6):460‐467. [DOI] [PubMed] [Google Scholar]
  • 78. Beck‐Nielsen SS, Brock‐Jacobsen B, Gram J, Brixen K, Jensen TK. Incidence and prevalence of nutritional and hereditary rickets in southern Denmark. Eur J Endocrinol. 2009;160(3):491‐497. [DOI] [PubMed] [Google Scholar]
  • 79. Endo I, Fukumoto S, Ozono K, et al. Nationwide survey of fibroblast growth factor 23 (FGF23)‐related hypophosphatemic diseases in Japan: prevalence, biochemical data and treatment. Endocr J. 2015;62(9):811‐816. [DOI] [PubMed] [Google Scholar]
  • 80. Rafaelsen S, Johansson S, Raeder H, Bjerknes R. Hereditary hypophosphatemia in Norway: a retrospective population‐based study of genotypes phenotypes, and treatment complications. Eur J Endocrinol. 2016;174(2):125‐136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Darveau Richard P. Periodontitis: a polymicrobial disruption of host homeostasis. Nat Rev Microbiol. 2010;8(7):481‐490. [DOI] [PubMed] [Google Scholar]
  • 82. Lalla E, Papapanou Panos N. Diabetes mellitus and periodontitis: a tale of two common interrelated diseases. Nat Rev Endocrinol. 2011;7(12):738‐748. [DOI] [PubMed] [Google Scholar]
  • 83. Stevenson David A, Carey John C, Byrne Janice LB, et al. Analysis of skeletal dysplasias in the Utah population. Am J Med Genet A. 2012;158(5):1046‐1054. [DOI] [PubMed] [Google Scholar]
  • 84. Rauch F, Glorieux Francis H. Osteogenesis imperfecta. Lancet. 2004;363(9418):1377‐1385. [DOI] [PubMed] [Google Scholar]
  • 85. Thomas Inas H, DiMeglio Linda A. Advances in the classification and treatment of osteogenesis imperfecta. Curr Osteoporos Rep. 2016;14:1‐9. [DOI] [PubMed] [Google Scholar]
  • 86. Sillence DO, Senn A, Danks DM. Genetic heterogeneity in osteogenesis imperfecta. J Med Genet. 1979;16(2):101‐116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87. Holick MF, Hossein‐Nezhad A, Tabatabaei F. Multiple fractures in infants who have Ehlers‐Danlos/hypermobility syndrome and or vitamin D deficiency: a case series of 72 infants whose parents were accused of child abuse and neglect. Dermatoendocrinol. 2017;9(1):e1279768. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88. Judge Daniel P, Dietz Harry C. Marfan's syndrome. Lancet. 2005;366(9501):1965‐1976. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89. Alterio A, Alisi A, Liccardo D, Nobili V. Non‐alcoholic fatty liver and metabolic syndrome in children: a vicious circle. Horm Res Paediatr. 2014;82(5):283‐289. [DOI] [PubMed] [Google Scholar]
  • 90. Nobili V, Svegliati‐Baroni G, Alisi A, Miele L, Valenti L, Vajro P. A 360‐degree overview of paediatric NAFLD: recent insights. J Hepatol. 2013;58(6):1218‐1229. [DOI] [PubMed] [Google Scholar]
  • 91. Alisi A, Manco M, Vania A, Nobili V. Pediatric nonalcoholic fatty liver disease in 2009. J Pediatr. 2009;155(4):469‐474. [DOI] [PubMed] [Google Scholar]
  • 92. Zambrano M, Nikitakis NG, Sanchez‐Quevedo MC, Sauk JJ, Sedano H, Rivera H. Oral and dental manifestations of vitamin D‐dependent rickets type I: report of a pediatric case. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2003;95(6):705‐709. [DOI] [PubMed] [Google Scholar]
  • 93. Kaye EK, Chen N, Cabral HJ, Vokonas P, Garcia RI. Metabolic syndrome and periodontal disease progression in men. J Dent Res. 2016;95(7):822‐828. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94. Blasco‐Baque V, Garidou L, Pomié C, et al. Periodontitis induced by Porphyromonas gingivalis drives periodontal microbiota dysbiosis and insulin resistance via an impaired adaptive immune response. Gut. 2017;66(5):872‐885. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95. Singer K, Lumeng CN. The initiation of metabolic inflammation in childhood obesity. J Clin Investig. 2017;127(1):65‐73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96. Nieman DC, Henson DA, Nehlsen‐Cannarella SL, et al. Influence of obesity on immune function. J Am Diet Assoc. 1999;99(3):294‐299. [DOI] [PubMed] [Google Scholar]
  • 97. Blüher M. Obesity: global epidemiology and pathogenesis. Nat Rev Endocrinol. 2019;15(5):288‐298. [DOI] [PubMed] [Google Scholar]
  • 98. Zheng Y, Ley Sylvia H, Hu Frank B. Global aetiology and epidemiology of type 2 diabetes mellitus and its complications. Nat Rev Endocrinol. 2018;14:88‐98. [DOI] [PubMed] [Google Scholar]
  • 99. Cawley J. The economics of childhood obesity. Health Aff. 2013;29(3):364‐371. [DOI] [PubMed] [Google Scholar]
  • 100. Van den Bossche J, O'Neill LA, Menon D. Macrophage immunometabolism: where are we (going)? Trends Immunol. 2017;38(6):395‐406. [DOI] [PubMed] [Google Scholar]
  • 101. Orr JS, Puglisi MJ, Ellacott KL, Lumeng CN, Wasserman DH, Hasty AH. Toll‐like receptor 4 deficiency promotes the alternative activation of adipose tissue macrophages. Diabetes. 2012;61(11):2718‐2727. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102. Bruun JM, Lihn AS, Pedersen SB, Richelsen B. Monocyte chemoattractant protein‐1 release is higher in visceral than subcutaneous human adipose tissue (AT): implication of macrophages resident in the AT. J Clin Endocrinol Metab. 2005;90(4):2282‐2289. [DOI] [PubMed] [Google Scholar]
  • 103. Feingold KR, Soued M, Staprans I, et al. Effect of tumor necrosis factor (TNF) on lipid metabolism in the diabetic rat. Evidence that inhibition of adipose tissue lipoprotein lipase activity is not required for TNF‐induced hyperlipidemia. J Clin Invest. 1989;83(4):1116‐1121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104. Hotamisligil GS, Shargill NS, Spiegelman BM. Adipose expression of tumor necrosis factor‐alpha: direct role in obesity‐linked insulin resistance. Science. 1993;259(5091):87‐91. [DOI] [PubMed] [Google Scholar]
  • 105. Breslin WL, Johnston CA, Strohacker K, et al. Obese Mexican American children have elevated MCP‐1, TNF‐alpha, monocyte concentration, and dyslipidemia. Pediatrics. 2012;129(5):e1180‐e1186. [DOI] [PubMed] [Google Scholar]
  • 106. Olefsky JM, Glass CK. Macrophages, inflammation, and insulin resistance. Annu Rev Physiol. 2010;72(1):219‐246. [DOI] [PubMed] [Google Scholar]
  • 107. Rathinam Vijay AK, Fitzgerald Katherine A. Inflammasome complexes: emerging mechanisms and effector functions. Cell. 2016;165(4):792‐800. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108. Lamkanfi M, Dixit Vishva M. Mechanisms and functions of inflammasomes. Cell. 2014;157(5):1013‐1022. [DOI] [PubMed] [Google Scholar]
  • 109. Yang H, Youm Y‐H, Vandanmagsar B, et al. Obesity accelerates thymic aging. Blood. 2009;114(18):3803‐3812. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110. Kawai T, Autieri MV, Scalia R. Adipose tissue inflammation and metabolic dysfunction in obesity. Am J Physiol Cell Physiol. 2021;320(3):C375‐C391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111. Wolf Anna M, Wolf D, Rumpold H, Enrich B, Tilg H. Adiponectin induces the anti‐inflammatory cytokines IL‐10 and IL‐1RA in human leukocytes. Biochem Biophys Res Commun. 2004;323(2):630‐635. [DOI] [PubMed] [Google Scholar]
  • 112. Ziegler‐Heitbrock HW, Wedel A, Schraut W, et al. Tolerance to lipopolysaccharide involves mobilization of nuclear factor kappa B with predominance of p50 homodimers. J Biol Chem. 1994;269(25):17001‐17004. [PubMed] [Google Scholar]
  • 113. de Candia P, Prattichizzo F, Garavelli S, Alviggi C, La Cava A, Matarese G. The pleiotropic roles of leptin in metabolism, immunity, and cancer. J Exp Med. 2021;218(5):e20191593. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114. Papathanassoglou E, El‐Haschimi K, Li Xian C, Matarese G, Strom T, Mantzoros C. Leptin receptor expression and signaling in lymphocytes: kinetics during lymphocyte activation, role in lymphocyte survival, and response to high fat diet in mice. J Immunol. 2006;176(12):7745‐7752. [DOI] [PubMed] [Google Scholar]
  • 115. Loffreda S, Yang SQ, Lin HZ, et al. Leptin regulates proinflammatory immune responses. FASEB J. 1998;12(1):57‐65. [PubMed] [Google Scholar]
  • 116. Caldefie‐Chezet F, Poulin A, Vasson MP. Leptin regulates functional capacities of polymorphonuclear neutrophils. Free Radic Res. 2003;37(8):809‐814. [DOI] [PubMed] [Google Scholar]
  • 117. Zhao Y, Sun R, You L, Gao C, Tian Z. Expression of leptin receptors and response to leptin stimulation of human natural killer cell lines. Biochem Biophys Res Commun. 2003;300(2):247‐252. [DOI] [PubMed] [Google Scholar]
  • 118. Karlsson EA, Sheridan PA, Beck MA. Diet‐induced obesity impairs the T cell memory response to influenza virus infection. J Immunol. 2010;184(6):3127‐3133. [DOI] [PubMed] [Google Scholar]
  • 119. Suriano F, Vieira‐Silva S, Falony G, et al. Novel insights into the genetically obese (ob/ob) and diabetic (db/db) mice: two sides of the same coin. Microbiome. 2021;9(1):147. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120. Ilonen J, Lempainen J, Veijola R. The heterogeneous pathogenesis of type 1 diabetes mellitus. Nat Rev Endocrinol. 2019;15(11):635‐650. [DOI] [PubMed] [Google Scholar]
  • 121. Salvi GE, Collins JG, Yalda B, Arnold RR, Lang NP, Offenbacher S. Monocytic TNF alpha secretion patterns in IDDM patients with periodontal diseases. J Clin Periodontol. 1997;24(1):8‐16. [DOI] [PubMed] [Google Scholar]
  • 122. Karima M, Kantarci A, Ohira T, et al. Enhanced superoxide release and elevated protein kinase C activity in neutrophils from diabetic patients: association with periodontitis. J Leukoc Biol. 2005;78(4):862‐870. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123. Ighbariya A, Weiss R. Insulin resistance, prediabetes, metabolic syndrome: what should every pediatrician know? J Clin Res Pediatr Endocrinol. 2017;9:49‐57. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124. Kotnik P, Fischer PP, Wabitsch M. Endocrine and metabolic effects of adipose tissue in children and adolescents. Zdr Varst. 2015;54(2):131‐138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125. Hand Timothy W, Vujkovic‐Cvijin I, Ridaura Vanessa K, Belkaid Y. Linking the microbiota, chronic disease, and the immune system. Trends Endocrinol Metabol. 2016;27(12):831‐843. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126. Esser N, Legrand‐Poels S, Piette J, Scheen AJ, Paquot N. Inflammation as a link between obesity, metabolic syndrome and type 2 diabetes. Diabetes Res Clin Pract. 2014;105:141‐150. [DOI] [PubMed] [Google Scholar]
  • 127. Desta T, Li J, Chino T, Graves D. Altered fibroblast proliferation and apoptosis in diabetic gingival wounds. J Dent Res. 2010;89(6):609‐614. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128. Gao L, Xu T, Huang G, Jiang S, Gu Y, Chen F. Oral microbiomes: more and more importance in oral cavity and whole body. Protein Cell. 2018;9(5):488‐500. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129. Feres M, Teles F, Teles R, Figueiredo LC, Faveri M. The subgingival periodontal microbiota of the aging mouth. Periodontol 2000. 2016;72(1):30‐53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130. Hotamisligil Gökhan S. Inflammation and metabolic disorders. Nature. 2006;444(7121):860‐867. [DOI] [PubMed] [Google Scholar]
  • 131. Socransky SS, Haffajee AD, Cugini MA, Smith C, Kent RL. Microbial complexes in subgingival plaque. J Clin Periodontol. 1998;25(2):134‐144. [DOI] [PubMed] [Google Scholar]
  • 132. Socransky Sigmund S, Haffajee Anne D. Periodontal microbial ecology. Periodontol 2000. 2005;38(1):135‐187. [DOI] [PubMed] [Google Scholar]
  • 133. Jensen Emilija D, Selway Caitlin A, Allen G, et al. Early markers of periodontal disease and altered oral microbiota are associated with glycemic control in children with type 1 diabetes. Pediatr Diabetes. 2021;22(3):474‐481. [DOI] [PubMed] [Google Scholar]
  • 134. Mashimo PA, Yamamoto Y, Slots J, Park BH, Genco RJ. The periodontal microflora of juvenile diabetics: culture, immunofluorescence, and serum antibody studies. J Periodontol. 1983;54(7):420‐430. [DOI] [PubMed] [Google Scholar]
  • 135. Campus G, Salem A, Uzzau S, Baldoni E, Tonolo G. Diabetes and periodontal disease: a case‐control study. J Periodontol. 2005;76(3):418‐425. [DOI] [PubMed] [Google Scholar]
  • 136. da Cruz GA, de Toledo S, Sallum EA, et al. Clinical and laboratory evaluations of non‐surgical periodontal treatment in subjects with diabetes mellitus. J Periodontol. 2008;79(7):1150‐1157. [DOI] [PubMed] [Google Scholar]
  • 137. Ganesan SM, Joshi V, Fellows M, et al. A tale of two risks: smoking, diabetes and the subgingival microbiome. ISME J. 2017;11(9):2075‐2089. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138. Khader Y, Khassawneh B, Obeidat B, et al. Periodontal status of patients with metabolic syndrome compared to those without metabolic syndrome. J Periodontol. 2008;79(11):2048‐2053. [DOI] [PubMed] [Google Scholar]
  • 139. Pirih Flavia Q, Monajemzadeh S, Singh N, et al. Association between metabolic syndrome and periodontitis: the role of lipids, inflammatory cytokines, altered host response, and the microbiome. Periodontol 2000. 2021;87(87):50‐75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140. Vallianou N, Christodoulatos GS, Karampela I, et al. Understanding the role of the gut microbiome and microbial metabolites in non‐alcoholic fatty liver disease: current evidence and perspectives. Biomolecules. 2021;12(1):56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141. Albillos A, de Gottardi A, Rescigno M. The gut‐liver axis in liver disease: pathophysiological basis for therapy. J Hepatol. 2020;72(3):558‐577. [DOI] [PubMed] [Google Scholar]
  • 142. Aron‐Wisnewsky J, Vigliotti C, Witjes J, et al. Gut microbiota and human NAFLD: disentangling microbial signatures from metabolic disorders. Nat Rev Gastroenterol Hepatol. 2020;17(5):279‐297. [DOI] [PubMed] [Google Scholar]
  • 143. Kozarov Emil V, Dorn Brian R, Shelburne Charles E, Dunn WA, Progulske‐Fox A. Human atherosclerotic plaque contains viable invasive Actinobacillus actinomycetemcomitans and Porphyromonas gingivalis . Arterioscler Thromb Vasc Biol. 2005;25(3):e17‐e18. [DOI] [PubMed] [Google Scholar]
  • 144. Kholy KE, Genco Robert J, Van Dyke TE. Oral infections and cardiovascular disease. Trends Endocrinol Metabol. 2015;26(6):315‐321. [DOI] [PubMed] [Google Scholar]
  • 145. Jain A, Batista Eraldo L, Serhan C, Stahl GL, Van Dyke TE. Role for periodontitis in the progression of lipid deposition in an animal model. Infect Immun. 2003;71(10):6012‐6018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146. Hayashi C, Viereck J, Hua N, et al. Porphyromonas gingivalis accelerates inflammatory atherosclerosis in the innominate artery of ApoE deficient mice. Atherosclerosis. 2011;215(1):52‐59. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147. Miyamoto T, Yumoto H, Takahashi Y, Davey M, Gibson FC, Genco CA. Pathogen‐accelerated atherosclerosis occurs early after exposure and can be prevented via immunization. Infect Immun. 2006;74(2):1376‐1380. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148. Graves DT, Corrêa JD, Silva TA. The oral microbiota is modified by systemic diseases. J Dent Res. 2019;98(2):148‐156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149. De Luca F, Shoenfeld Y. The microbiome in autoimmune diseases. Clin Exp Immunol. 2019;195(1):74‐85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150. Carrizales‐Sepúlveda EF, Ordaz‐Farías A, Vera‐Pineda R, Flores‐Ramírez R. Periodontal disease, systemic inflammation and the risk of cardiovascular disease. Heart Lung Circ. 2018;27(11):1327‐1334. [DOI] [PubMed] [Google Scholar]
  • 151. Bartova J, Sommerova P, Lyuya‐Mi Y, et al. Periodontitis as a risk factor of atherosclerosis. J Immunol Res. 2014;2014:636893‐636899. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152. Chaves IdeM, Zicker MC, Laranjeira AdeO, et al. Dysbiotic oral microbiota contributes to alveolar bone loss associated with obesity in mice. J Appl Oral Sci. 2022;30:e20220238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 153. Botero JE, Rodriguez C, Agudelo‐Suarez AA. Periodontal treatment and glycaemic control in patients with diabetes and periodontitis: an umbrella review. Aust Dent J. 2016;61(2):134‐148. [DOI] [PubMed] [Google Scholar]
  • 154. Scheithauer Torsten PM, Rampanelli E, Nieuwdorp M, et al. Gut microbiota as a trigger for metabolic inflammation in obesity and type 2 diabetes. Front Immunol. 2020;11:571731. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155. Simpson TC, Weldon JC, Worthington HV, et al. Treatment of periodontal disease for glycaemic control in people with diabetes mellitus. Cochrane Database Syst Rev. 2015;11(3):CD004714. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156. Faggion CM, Jr , Cullinan MP, Atieh M. An overview of systematic reviews on the effectiveness of periodontal treatment to improve glycaemic control. J Periodontal Res. 2016;51(6):716‐725. [DOI] [PubMed] [Google Scholar]
  • 157. Wang TF, Jen IA, Chou C, Lei YP. Effects of periodontal therapy on metabolic control in patients with type 2 diabetes mellitus and periodontal disease: a meta‐analysis. Medicine. 2014;93(28):e292. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158. Di Paola R, Mazzon E, Maiere D, et al. Rosiglitazone reduces the evolution of experimental periodontitis in the rat. J Dent Res. 2006;85(2):156‐161. [DOI] [PubMed] [Google Scholar]
  • 159. Hassumi MY, Silva‐Filho VJ, Campos‐Junior JC, et al. PPAR‐gamma agonist rosiglitazone prevents inflammatory periodontal bone loss by inhibiting osteoclastogenesis. Int Immunopharm. 2009;9(10):1150‐1158. [DOI] [PubMed] [Google Scholar]
  • 160. Mackler SB, Crawford JJ. Plaque development and gingivitis in the primary dentition. J Periodontol. 1973;44(1):18‐24. [DOI] [PubMed] [Google Scholar]
  • 161. Matsson L. Development of gingivitis in the preschool children and young adults. J Clin Periodontol. 1978;5(1):24‐34. [DOI] [PubMed] [Google Scholar]
  • 162. Bimstein E, Matsson L, Soskolne AW, Lustmann J. Histologic characteristics of the gingiva associated with the primary and permanent teeth of children. Pediatr Dent. 1994;3:206‐210. [PubMed] [Google Scholar]
  • 163. Tonetti MS, Mombelli A. Early‐onset periodontitis. Ann Periodontol. 1999;4(1):39‐52. [DOI] [PubMed] [Google Scholar]
  • 164. Watanabe K. Prepubertal periodontitis: a review of diagnostic criteria, pathogenesis, and differential diagnosis. J Periodontal Res. 1990;25(1):31‐48. [DOI] [PubMed] [Google Scholar]
  • 165. Burcham Zachary M, Garneau Nicole L, Comstock Sarah S, et al. Patterns of oral microbiota diversity in adults and children: a crowdsourced population study. Sci Rep. 2020;10(1):2133. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.


Articles from Pediatric Discovery are provided here courtesy of John Wiley & Sons Australia, Ltd. on behalf of Children's Hospital of Chongqing Medical University

RESOURCES