20 May 2013: Blasco-Baque V, Serino M, Vergnes JN, Riant E, Loubieres P, et al. (2013) Correction: High-Fat Diet Induces Periodontitis in Mice through Lipopolysaccharides (LPS) Receptor Signaling: Protective Action of Estrogens. PLOS ONE 8(5): 10.1371/annotation/83ddaae2-ce5d-4683-bbff-f87945a2fa2c. doi: 10.1371/annotation/83ddaae2-ce5d-4683-bbff-f87945a2fa2c View correction
A fat-enriched diet favors the development of gram negative bacteria in the intestine which is linked to the occurrence of type 2 diabetes (T2D). Interestingly, some pathogenic gram negative bacteria are commonly associated with the development of periodontitis which, like T2D, is characterized by a chronic low-grade inflammation. Moreover, estrogens have been shown to regulate glucose homeostasis via an LPS receptor dependent immune-modulation. In this study, we evaluated whether diet-induced metabolic disease would favor the development of periodontitis in mice. In addition, the regulatory role of estrogens in this process was assessed.
Four-week-old C57BL6/J WT and CD14 (part of the TLR-4 machinery for LPS-recognition) knock-out female mice were ovariectomised and subcutaneously implanted with pellets releasing either placebo or 17β-estradiol (E2). Mice were then fed with either a normal chow or a high-fat diet for four weeks. The development of diabetes was monitored by an intraperitoneal glucose-tolerance test and plasma insulin concentration while periodontitis was assessed by identification of pathogens, quantification of periodontal soft tissue inflammation and alveolar bone loss.
The fat-enriched diet increased the prevalence of periodontal pathogenic microbiota like Fusobacterium nucleatum and Prevotella intermedia, gingival inflammation and alveolar bone loss. E2 treatment prevented this effect and CD14 knock-out mice resisted high-fat diet-induced periodontal defects.
Our data show that mice fed with a diabetogenic diet developed defects and microflora of tooth supporting-tissues typically associated with periodontitis. Moreover, our results suggest a causal link between the activation of the LPS pathway on innate immunity by periodontal microbiota and HFD-induced periodontitis, a pathophysiological mechanism that could be targeted by estrogens.
Citation: Blasco-Baque V, Serino M, Vergnes J-N, Riant E, Loubieres P, Arnal J-F, et al. (2012) High-Fat Diet Induces Periodontitis in Mice through Lipopolysaccharides (LPS) Receptor Signaling: Protective Action of Estrogens. PLoS ONE 7(11): e48220. doi:10.1371/journal.pone.0048220
Editor: Massimo Federici, University of Tor Vergata, Italy
Received: July 5, 2012; Accepted: September 21, 2012; Published: November 2, 2012
Copyright: © 2012 Blasco-Baque et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by grants from Société Française d’Hypertension Artérielle and from the Société Francophone de Diabète. Part of this work is supported by a European grant from the Framework program 7 (FlorinashNo 241913) to RB. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
The prevalence of Type 2 diabetes (T2D) has dramatically increased over the past decade both in developed and developing countries. Furthermore, the complications of this metabolic disease are nowadays major causes of morbidity and mortality . The pathophysiology of T2D is characterized by a low-grade chronic inflammation , with the release of inflammatory cytokines by innate immune cells, mainly macrophages and dendritic cells, that impair insulin action . It was recently suggested that the intestinal microbiota contributes to the development of obesity and insulin-resistance , . A switch from a normal diet towards a fat-enriched diet, where the daily amount of dietary fibers is reduced, was associated with a change in the ecology of the intestinal microbiota ,  with an increase in gram-negative bacteria. The activation of the immune system by gram-negative bacteria depends on specific pattern recognition receptors (PRRs) such as Cluster of differentiation 14/Toll-like receptor-4 (CD14/TLR4) . CD14/TLR4 knockout mice are protected against the metabolic impact of a high-fat diet (HFD) . Hence, the interaction among gram-negative pathogens and the immune system is a key factor for the development of metabolic diseases , . Interestingly, periodontitis, a chronic infection of the soft and hard tissues supporting the tooth, is caused by gram-negative capnophilic bacteria . This disease is characterised by an inflammation and a loss of both soft and hard tissues of the periodontium (e.g. the periodontal tissues) that protect the roots of the tooth and anchor them to the jaws. Most pathogens involved in periodontitis have been identified, and many of them are also known to be involved in metabolic diseases  and many systemic diseases , . Prevotella intermedia (Pi) is a key periodontal pathogen inducing innate immune responses partly involved in deep periodontal tissues destruction  The frequency of Pi detection in the periodontal pocket is higher in diabetic than in healthy subjects . Another periopathogen, Fusobacterium nucleatum (Fn), was detected in human carotid endarteriectomy specimens and is thought to exert atherogenic effects . Apolipoprotein E knockout mice (ApoE−/−) infected by Fn display increased lipid depots in the arterial wall compared with controls . Indeed, Fn systemic infection increases plasma levels of total cholesterol and LDL . Thus, it can be postulated that diet-induced metabolic diseases may favor the development of periodontitis.
We recently showed that estrogens are key players in the control of metabolic diseases involving immune regulation . Furthermore, numerous epidemiological studies strongly suggest that estrogen deficiency is linked to the appearance of periodontal diseases (PD) . As previously reported, a significant increase in the incidence of PD is associated with the menopause, which is considered as the main physiological cause of estrogen depletion , , . Moreover, it has been suggested that hormonal replacement therapy can protect menopausal women against periodontitis . However, the influence of these sexual steroid hormones on the occurrence of PD in a dysmetabolic and inflammatory context has not been addressed to date.
In this study, we investigated whether a high-fat diet, known to induce inflammation-mediated insulin-resistance and glucose-intolerance, as previously described , would promote the development of PD in ovariectomised mice, and whether estrogen administration would regulate this process. Our data reported herein demonstrate that HFD-induced metabolic disturbances were associated with the occurrence of periodontitis, and that chronic estrogen administration, as well as the deletion of CD14, strongly prevents the HFD-induced defects of periodontal tissue in mice.
Materials and Methods
All animal experimental procedures were approved by the local ethical committee of Rangueil University Hospital, INSERM BP 84225, 31432 Toulouse under the authorization number “C 31 555 07”, and the Ethical committee of Purpan Hospital (Toulouse).
) Body weight was assessed in 8-wk-old mice 4 weeks of diet: WT OVX+NCD (n = 27), WT OVX+NCD+E2 (n = 16), WT OVX+HFD (n = 15) and WT OVX+HFD+E2 (n = 15). B) Time course of glycemia (mg/dl) during an IPGTT. The inset represents the glycemic index for each group. C) Fasted plasma insulin concentration (µg/l) after 4 weeks of diet: WT OVX+NCD (n = 6), WT OVX+NCD+E2 (n = 6), WT OVX+HFD (n = 6) and WT OVX+HFD+E2 (n = 6). *P<0.05, **P<0.01, ***P<0.001 (one-way ANOVA followed by Tukey test for A and C; and Two-Way ANOVA with Bonferroni’s post-test for B). Results are presented as means ± SEM.
Animals and Experimental Procedures
C57BL6/J wild-type (WT) (Charles River, L’Arbres, France) and CD14-deficient (CD14KO) female mice born in our animal facilities were group-housed (five mice per cage) in a specific pathogen-free controlled environment (inverted 12-hr daylight cycle, light off at 10∶00 a.m.). Four week-old mice were ovariectomised (OVX) and then subcutaneously implanted with pellets releasing either placebo or 17β-estradiol (e.g. E2, 0.1 mg for 60 days, 80 µg/kg per day; Innovative Research of America, Sarasota, FL)  under general anesthesia. Mice have then been fed with a normal chow diet (i.e. NCD; energy content: 12% fat, 28% protein, and 60% carbohydrate; A04, Villemoisson sur Orge, France) or a diabetogenic, high-fat carbohydrate-free diet (i.e. HFD; energy content: 72% fat (corn oil and lard), 28% protein and less than 1% carbohydrate; SAFE, Augy, France) for four weeks. This particular diet has been developed to induce a diabetic state after 4 weeks, as previously described . Animals were divided into eight groups: WT OVX+NCD with placebo (n = 27), WT OVX+NCD+E2 (n = 16), WT OVX+HFD with placebo (n = 25), WT OVX+HFD+E2 (n = 25), CD14KO OVX+NCD with placebo (n = 6), CD14KO OVX+NCD+E2 (n = 6), CD14KO OVX+HFD with placebo (n = 12) and CD14KO OVX+ HFD+E2 (n = 12). At the end of experiment, mice were sacrificed by cervical dislocation; tissues were collected and snap-frozen in liquid nitrogen.
Intraperitoneal Glucose-tolerance Test (IPGTT)
Six-hour–fasted mice were injected with glucose into the peritoneal cavity (1 g/kg) after 4 weeks of HFD diet. Blood glucose was measured with a glucometer (Roche Diagnostics, Meylan, France) on 3.5 µl of blood collected from the tip of the tail vein at −30, 0, 30, 60, and 90 min after the glucose injection .
The occurrence of periodontal pathogens was analysed in 8-wk-old mice after 4 weeks of diet : WT OVX+NCD (n = 27), WT OVX+NCD+E2 (n = 16), WT OVX+HFD (n = 15) and WT OVX+HFD+E2 (n = 15). B–G) Hemi-mandible from each group, as reconstructed by the micro-CT. F) CEJ (red line: cemento-enamel junction)-ABC (green line: alveolar bone crest) distance to represent alveolar bone loss (yellow line) (n = 8 for each group). *P<0.05, **P<0.01, ***P<0.001 (one-way ANOVA followed by Tukey test). Results are presented as means ± SEM.
Plasma Insulin Concentration
To assess plasma insulin concentration, 20 µl blood were sampled from the tip of the tail vein of 6-hr-fasted mice. The plasma was separated and frozen at −80°C. 5 µl plasma were used to determine the insulin concentration with an Elisa kit (Mercodia, Uppsala, Sweden) and following the manufacturer’s instructions.
mRNA synthesis of TNF-α (A), IL-1β (B), PAI-1(C) and IL-6 (D) in gingival tissue. *P<0.05, **P<0.01, ***P<0.001 (one-way ANOVA followed by Tukey test). Results are presented as means ± SEM.
Histological appearance of the gingival tissues with H/E coloration from WT OVX+NCD (A; n = 10),WT OVX+HFD (B; n = 10), WT OVX+NCD+E2 (D; n = 10), and WT OVX+HFD+E2 (E; n = 10). C Magnification of the inflammatory gingival tissue from HFD-fed mice. F. Number of inflammatory cells for each group. *P<0.05, **P<0.01, ***P<0.001 (one-way ANOVA followed by Tukey test). Results are presented as means ± SEM.
Real-Time Quantitative PCR (qPCR) Analysis
Total RNA from white adipose tissue, liver and gingival tissue was extracted using the TriPure reagent (Roche, Basel, Switzerland). cDNA was synthesized using a reverse transcriptase (Applied Biosystems, Fost City, USA) from 1 µg of total RNA. The primers (Eurogentec, San Diego, USA) used were (5′ to 3′): tumor necrosis factor-α (TNF-α), forward TGGGACAGTGACCTGGACTGT; reverse TCGGAAAGCCCATTTGAGT; Interleukin 1β(IL-1β) forward TCGCTCAGGGTCACAAGAAA; reverse CATCAGAGGCAAGGAGGAAAAC; plasminogen activator inhibitor-1(PAI-1) forward ACAGCCTTTGTCATCTCAGCC; reverse CCGAACCACAAAGAGAAAGGA and interleukin-6 (IL-6) forward ACAAGTCGGAGGCTTAATTACACAT; reverse TTGCCATTGCACAACTCTTTTC. The concentration of each mRNA was normalized for RNA loading for each sample using ribosomal protein L19 (RPL19) forward GAAGGTCAAAGGGAATGTGTTCA; reverse CCTTGTCTGCCTTCAGCTTGT, as an internal standard and the data were analysed according to the 2 −ΔΔCT method .
Body weight was assessed in 8-wk-old mice after 4 weeks of diet : WT OVX+HFD (n = 10), WT OVX+HFD+E2 (n = 10), CD14KO OVX+HFD (n = 12) and CD14KO OVX+HFD+E2 (n = 12). B) Time course of glycemia (mg/dl) during an IPGTT. The inset represents the glycemic index for each group. C) Fasted plasma insulin concentration (µg/l) after 4 weeks of diet : WT OVX+HFD (n = 6), WT OVX+HFD+E2 (n = 6), CD14KO OVX+HFD (n = 6) and CD14KO OVX+HFD+E2 (n = 6). *P<0.05, **P<0.01 (One-way ANOVA followed by Tukey’s post-test for A and C; and Two-Way ANOVA with Bonferroni’s post-test for B). Results are presented as means ± SEM.
Culture and Identification of Periopathogens
The composition of the sub-gingival microbiota was determined as previously described . The selected site was cleaned with 75% ethanol to remove the supragingival bacterial biofilm. Cervicular fluid was sampled with three endodontic sterile paper points held in sterile pliers: paper points were inserted into the sub-gingival space and then placed in a 2-ml bottle of reduced transport medium VGMA-III of Moëller. After mixing for 30 sec at maximal speed on a Vortex mixer, the 2-ml bottles containing glass beads were opened in an anaerobic chamber and samples were serially diluted ten-fold in Wilkins–Chalgren broth (WC, Oxoid, Basingstoke, Hampshire, UK). Bacteria were cultured on non-selective or selective medium agar plates . Identification of putative anaerobic bacteria was carried out according to Bergey’s manual criteria . Genomic bacterial DNA was extracted using a classical phenol/chloroform method followed by alcohol precipitation (ice-cold 70% alcohol vol/vol). Semi-quantitative PCR was carried out using 2 µl of the extracted DNA with specific primers . The primers (Eurogentec, San Diego, USA ) used were (5′ to 3′): Fusobacterium nucleatum forward AAGCGCGTCTAGGTGGTTATGT and reverse TGTAGTTCCGCTTACCTCTCCAG and Prevotella intermedia forward TCCACCGAT GAATCTTTGGTC and reverse ATCCAACCTTCCCTCCACTC.
) The occurrence of periodontal pathogens was analyzed in 8-wk-old mice after 4 weeks of diet: WT OVX+HFD (n = 10), WT OVX+HFD+E2 (n = 10), CD14KO OVX+HFD (n = 12) and CD14KO OVX+HFD+E2 (n = 12). B–G) Hemi-mandible from each group, as reconstructed by the micro-CT. F CEJ (red line: cemento-enamel junction)-ABC (green line: alveolar bone crest) distance to represent alveolar bone loss (yellow line). *P<0.05, **P<0.01, ***P<0.001 (one-way ANOVA followed by Tukey test). Results are presented as means ± SEM.
Gingival tissue surrounding the lower molars were excised, fixed in 4% paraformaldehyde for 48 hours and embedded in paraffin. Sections (4 µm thick), were then stained with hematoxylin/eosin. To quantify the infiltration of inflammatory cells, immune cells were counted in ten microscopic fields randomly selected from each group.
mRNA expression of TNF-α (A), IL-1β (B), PAI-1(C) and IL-6 (D) in gingival tissue. *P<0.05, **P<0.01,***P<0.001 (one-way ANOVA followed by Tukey test). Results are presented as means ± SEM.
Histological appearance of the gingival tissues with H/E coloration from WT OVX+HFD (A, n = 6), CD14KO OVX+HFD (B, n = 6) WT OVX+HFD+E2 (C, n = 6), and CD14KO OVX+HFD+E2 (D, n = 6) E. Number of inflammatory cells for each group. *P<0.05,**P<0.01, ***P<0.001 (one-way ANOVA followed by Tukey test). Results are presented as means ± SEM.
Quantification of Mandibular Alveolar Bone Resorption
To evaluate mandibular alveolar bone loss, hemi-mandibles were scanned using a high-resolution µCT (Viva CT40; Scanco Medical, Bassersdorf, Switzerland) . Data were acquired at 45 keV, with a 10 µm isotropic voxel size. Six linear measurements were obtained from each molar by using a stereomicroscope with an on-screen computer-aided measurement package. The alveolar bone loss (in mm) was measured from the cemento-enamel junction (CEJ) to the alveolar bone crest (ABC) for each molar . Three-dimensional reconstructions were generated from a set of 400 slices. After micro-CT analysis, the hemi-mandibles were cleaned with 0.1% hypochlorite over 20 min and then stained with 10% methylene blue.
Results are presented as means ± SEM. One-way ANOVA followed by Tukey’s post-test was used to assess the statistical significance between groups, except for the IPGTT analysis, where two-way ANOVA followed by Bonferroni’s post-test was applied. The effects of diet, estrogen supplementation and CD14 deletion on periodontal microbiota composition were tested using Fisher’s exact test. A two-sided p-value <0.05 was considered statistically significant. Statistical analyses were performed using GraphPad Prism version 5.00 for Windows Vista (GraphPad Software, San Diego, CA), and R (version 2.12.1).
Estradiol Prevents HFD-induced Metabolic Disorders in WT Ovariectomised Mice
Four-week-old wild-type C57Bl6/J female mice were ovariectomised then randomised according to both diet and E2-treatment, as reported in Figure 1. As expected, in comparison to NCD-fed mice, mice fed with a HFD for four weeks developed a dysmetabolic phenotype characterised by increased body weight gain, impaired fasting glycemia, hyperinsulinemia and glucose-intolerance. It was noteworthy that the harmful effects of HFD on body weight, fasted plasma insulin and glucose homeostasis were largely prevented by E2-supplementation (Fig. 1A–C).
HFD Promotes Periodontitis in the Absence of Estrogens
We then examined the respective influence of a HFD and estrogens on periodontal health. Without estrogen supplementation, the HFD significantly increased the percentage of animals with at least one and up to two periopathogen species, Pi and Fn, compared with control mice maintained on the NCD (Fig. 2A; Table 1). Furthermore, the HFD instigated the presence of Pi/Fn association in the periodontal microbiota of OVX-mice (Table 1), and induced alveolar bone resorption (a common feature of periodontitis) (Fig. 2B–F). Interestingly, E2-administration to OVX mice blunted the deleterious effects of the HFD on alveolar bone (Fig. 2B–F) and modified the periodontal microbiota by reducing the percentage of mice with Pi and Fn association (Table 1).
E2-treatment Prevents HFD-induced Inflammation of Periodontal Tissues
To determine whether E2 prevents HFD-induced periodontal disease by controlling inflammatory processes, we assayed the mRNA concentrations of several inflammatory mediators in the gingiva. TNF-α, IL-1β, PAI-1 and IL-6 expression significantly increased in the gingival connective tissue of OVX mice fed a fat-enriched diet when compared with their NCD-fed counterparts. Conversely, the proinflammatory effect of the HFD was abolished by E2-supplementation (Fig. 3A–D).
Microscopic examination of gingival connective tissue of HFD-fed mice highlighted an inflammatory cell infiltration (Fig. 4A–F), and red cells extravasation, compared with the NCD-fed OVX control mice (Fig. 4A–F). Interestingly, E2-supplementation reversed the HFD-induced periodontal soft tissue inflammation (Fig. 4F).
CD14KO Mice are Protected from HFD-induced Periodontitis
CD14 is an important modulator of the inflammatory responses induced by gram-negative bacteria. We therefore assessed the impact of CD14 deletion on HFD-associated disorders including metabolic and periodontal alterations. According to our previous data  and in contrast to WT mice, CD14KO mice did not show increased body weight, fasted glycemia and plasma insulin concentration or glucose-intolerance, when fed a HFD (Fig. 5A–C) or a NCD (Fig. S1A) for four weeks.
Interestingly, the deletion of CD14 also prevented the HFD-induced alveolar bone loss (Fig. 6B–F), although the association of Pi/Fn was unaffected in CD14KO HFD-fed mice (WT OVX+HFD 25% vs CD14KO OVX+HFD 24% Table 1). Like WT NCD-fed mice, CD14KO NCD-fed mice did not show a modified periodontal microbiota (Table S1). Furthermore, in contrast to the protective effect observed in WT mice, estrogen supplementation had no effect on the alveolar bone level in CD14KO mice (Fig. 6A–F).
The TNF-α, IL-1β, PAI-1 and IL-6 expression in the periodontal soft tissue of HFD-fed CD14KO mice was comparable to the controls (Fig. 7A–D). Moreover, in contrast to HFD-fed WT mice (Fig. 8A–E), the immune cell infiltration in gingival tissue was dramatically reduced in HFD-fed CD14 mutant mice. In addition, E2 did not affect alveolar bone loss and overall inflammatory tone in CD14KO OVX+NCD (Fig. S2A–F).
The data presented in this study showed that a fat-enriched diet combined with estrogen deficiency induced a periodontal disease in mice. Furthermore, our data strongly suggest that estradiol replacement may prevent HFD-induced metabolic and periodontal disorders.
Medium- or long-term diabetic patients with degenerative multi-organ complications , are also prone to frequent and severe periodontitis. To date, the mechanisms linking diabetes to periodontal diseases remain poorly understood. Our data showed that HFD increases the proportion of mice harbouring periodontal pathogens such as Fusobacterium nucleatum and Prevotella intermedia, known to be part of the subgingival plaque in periodontal pockets , . Indeed, it has been suggested that a fat-enriched diet may enhance the occurrence of oral pathogens in diabetic patients . The reasons for this fundamental modification are still unclear. However, a switch to a high-fat diet induces a new intestinal ecology and, hence, a new periodontal ecology . This modification increased the proportion of gram-negative bacteria producing inflammatory LPS, at least in the intestine . Furthermore, the microbial diversity could explain the different metabolic phenotypes . Therefore, an inappropriate immune function in reaction to the many bacterial antigens would generate a metabolic inflammation and the corresponding immune messengers may impair and maintain the metabolic disorders . On the other hand, a microbiota composed of gram-negative bacteria produces LPS that directly move into the blood in human  or animal models to aggravate inflammation and systemic diseases , . Indeed, HFD-induced metabolic endotoxemia (an increase in plasma levels of LPS) was shown to be an initiator of metabolic diseases  via enhanced systemic inflammation . Hence, the elevated systemic inflammation in diabetic patients could be linked to PD , demonstrating a two-sided relationship between these pathologies. Thus, inflammation could be a key feature of periodontitis to be targeted  and we can postulate that a fat-enriched diet may be a regulator of the relationship between microbiota and human host .
Although the mechanism through which periopathogens contribute to periodontal diseases is still not fully understood, studies have suggested that the pathogenic microbiota induces local and systemic inflammation , , a common feature of metabolic disease . As reported above, periodontitis is characterized by a complex biofilm composed of LPS-harboring gram-negative bacteria . CD14, a cell-surface molecule involved in innate immunity , is a systemic modulator of LPS-induced metabolic disorders. In this context, we have demonstrated in the current study that CD14-ablation protects against HFD-induced inflammation-triggered diabetes and periodontitis. Indeed, HFD-fed CD14KO ovariectomised mice did not show any features of periodontitis such as alveolar bone loss or immune cell infiltration into the gingival connective tissue. Nevertheless, the number of mice exhibiting a periopathogenic microbiota was found to be increased. This result may suggest that a HFD induces metabolic disorders and periodontal damage through activation of innate immunity via LPS production by periodontal microbiota, rather than direct adverse effects on tissues by periopathogenic derivatives as previously suggested . In agreement with our findings, previous studies have reported relationships between CD14, inflammation and PD in humans . Therefore, the use of antibiotic treatment restricted to the periodontal pocket could be thought.
Homeostasis in periodontium involves multiple factors including variation in sex hormone production . Many studies recently showed that modification of estrogenic status during menstrual cycles , puberty  and pregnancy , could be linked to the occurrence of gingivitis, an inflammation of soft periodontal tissue without loss of attachment . Some studies hypothesized that estrogen therapy may be used in these periodontal pathologies . However, this therapeutic strategy would be not applicable in gingivitis because it is spontaneously reversed after gingival plaque removing and/or menstrual cycle normalization . Conversely, estrogen deficiency is considered a risk factor for periodontitis . Importantly, we recently demonstrated that estrogen replacement reversed HFD-induced metabolic diseases , . Here, we report the reversal of the proportion of WT OVX mice with periodontal pathogenic microbiota by E2-treatment, as already reported in post-menopausal women using hormone replacement therapy . While in vivo E2-administration enhanced systemic inflammation in mice , our results suggest that estrogen supplementation may have a specific protective effect on periodontal tissue by regulating the inflammation induced by a HFD . Since E2 increases the thickness and keratinization of epithelia  we suggest that this hormone could reinforce the gingival epithelium against the colonization by specific periopathogens . Moreover, E2 stimulates the innate immune response , , increasing macrophage reactivity against aggressive bacteria . As already suggested , our results support the hypothesis that E2-supplementation may have anti-inflammatory effects on periodontal tissue. Thus, we can propose that our present results could be the basis of further experimental trials dedicated to show the importance of hormone replacement therapy as well as that of a tight glycemic control to maintain periodontal health.
In conclusion, the data reported herein suggest a causal link between the activation of the LPS pathway on innate immunity by periodontal microbiota and the occurrence of HFD-induced periodontal defects. This pathophysiological mechanism could be targeted by estrogens, which may thus represent a new therapeutic perspective to prevent HFD-induced periodontal inflammation and reduce the occurrence of PD.
NCD-fed CD14KO mice did not exhibit metabolic disorders. A) Body weight was assessed in 8-wk-old mice after 4 weeks of diet: CD14KO OVX+NCD (n = 12) and CD14KO OVX+NCD+E2 (n = 12). B) Time course of glycemia (mg/dl) during IPGTT. The inset represents the Glycemic index for each group. *P<0,05 (one-way ANOVA followed by Tukey test for A and Two-Way ANOVA with Bonferroni’s post-test for B). Results are presented as means ± SEM.
NCD-fed CD14KO mice did not display periodontal disease. A) Alveolar bone loss of Hemi-mandibule from each group : CD14KO OVX+NCD (n = 5) and CD14KO OVX+NCD+E2 (n = 5), was explored B.C.D.E mRNA expression of TNF-α (B), IL-1β (C), PAI-1(D) and IL-6 (E) in gingival tissue. D. Number of inflammatory cells for each group *P<0,05 **P<0,01 ***P<0,001 (one-way ANOVA followed by Tukey test). Results are presented as means ± SEM.
Rates of positive bacterial cultures in NCD-fed mice. The table shows the qualitative analysis of periodontal microbiota in each group : WT OVX NCD E2 (n = 16), CD14KO OVX+NCD (n = 5) and CD14KO OVX+NCD+E2 (n = 5). *P<0.05,**P<0.01 (Fischer exact tests).
Conceived and designed the experiments: VBB MS JFA PG RB PK. Performed the experiments: VBB MS ER PL RB. Analyzed the data: VBB MS JNV. Wrote the paper: VBB MSJFA PG MS RB PK.
- 1. Preshaw PM, Alba AL, Herrera D, Jepsen S, Konstantinidis A, et al. (2012) Periodontitis and diabetes: a two-way relationship. Diabetologia 55: 21–31.
- 2. Hotamisligil GS (2006) Inflammation and metabolic disorders. Nature 444: 860–867.
- 3. Shoelson SE, Lee J, Goldfine AB (2006) Inflammation and insulin resistance. J Clin Invest 116: 1793–1801.
- 4. Cani PD, Amar J, Iglesias MA, Poggi M, Knauf C, et al. (2007) Metabolic endotoxemia initiates obesity and insulin resistance. Diabetes 56: 1761–1772.
- 5. Saito T, Shimazaki Y (2007) Metabolic disorders related to obesity and periodontal disease. Periodontol 2000 43: 254–266.
- 6. Turnbaugh PJ, Backhed F, Fulton L, Gordon JI (2008) Diet-induced obesity is linked to marked but reversible alterations in the mouse distal gut microbiome. Cell Host Microbe 3: 213–223.
- 7. Turnbaugh PJ, Ridaura VK, Faith JJ, Rey FE, Knight R, et al. (2009) The effect of diet on the human gut microbiome: a metagenomic analysis in humanized gnotobiotic mice. Sci Transl Med 1: 6ra14.
- 8. Neish AS (2009) Microbes in gastrointestinal health and disease. Gastroenterology 136: 65–80.
- 9. Cani PD, Delzenne NM, Amar J, Burcelin R (2008) Role of gut microflora in the development of obesity and insulin resistance following high-fat diet feeding. Pathol Biol (Paris) 56: 305–309.
- 10. Lakhssassi N, Elhajoui N, Lodter JP, Pineill JL, Sixou M (2005) Antimicrobial susceptibility variation of 50 anaerobic periopathogens in aggressive periodontitis: an interindividual variability study. Oral Microbiol Immunol 20: 244–252.
- 11. Blaizot A, Vergnes JN, Nuwwareh S, Amar J, Sixou M (2009) Periodontal diseases and cardiovascular events: meta-analysis of observational studies. Int Dent J 59: 197–209.
- 12. Blasco-Baque V, Kemoun P, Loubieres P, Roumieux M, Heymes C, et al. [Impact of periodontal disease on arterial pressure in diabetic mice.]. Ann Cardiol Angeiol (Paris).
- 13. Guan SM, He JJ, Zhang M, Shu L (2011) Prevotella intermedia stimulates tissue-type plasminogen activator and plasminogen activator inhibitor-2 expression via multiple signaling pathways in human periodontal ligament cells. FEMS Immunol Med Microbiol 62: 91–100.
- 14. Robert AA, Rass MD, Al-Zoman KH, Al-Sohail AM, Alsuwyed AS, et al. (2010) Determinants of periodontopathogens in microbiological monitoring of diabetic patients with periodontitis. Saudi Med J 31: 1044–1048.
- 15. Ford PJ, Gemmell E, Chan A, Carter CL, Walker PJ, et al. (2006) Inflammation, heat shock proteins and periodontal pathogens in atherosclerosis: an immunohistologic study. Oral Microbiol Immunol 21: 206–211.
- 16. Lee HR, Jun HK, Kim HD, Lee SH, Choi BK Fusobacterium nucleatum GroEL induces risk factors of atherosclerosis in human microvascular endothelial cells and ApoE(−/−) mice. Mol Oral Microbiol 27: 109–123.
- 17. Koren O, Spor A, Felin J, Fak F, Stombaugh J, et al. (2011) Human oral, gut, and plaque microbiota in patients with atherosclerosis. Proc Natl Acad Sci U S A 108 Suppl 14592–4598.
- 18. Riant E, Waget A, Cogo H, Arnal JF, Burcelin R, et al. (2009) Estrogens protect against high-fat diet-induced insulin resistance and glucose intolerance in mice. Endocrinology 150: 2109–2117.
- 19. Haas AN, Rosing CK, Oppermann RV, Albandar JM, Susin C (2009) Association among menopause, hormone replacement therapy, and periodontal attachment loss in southern Brazilian women. J Periodontol 80: 1380–1387.
- 20. Bonds DE, Lasser N, Qi L, Brzyski R, Caan B, et al. (2006) The effect of conjugated equine oestrogen on diabetes incidence: the Women’s Health Initiative randomised trial. Diabetologia 49: 459–468.
- 21. Donahue RP, Bean JA, Donahue RA, Goldberg RB, Prineas RJ (1997) Insulin response in a triethnic population: effects of sex, ethnic origin, and body fat. Miami Community Health Study. Diabetes Care 20: 1670–1676.
- 22. Lenfant F, Tremollieres F, Gourdy P, Arnal JF (2011) Timing of the vascular actions of estrogens in experimental and human studies: why protective early, and not when delayed? Maturitas 68: 165–173.
- 23. Tarkkila L, Kari K, Furuholm J, Tiitinen A, Meurman JH (2010) Periodontal disease-associated micro-organisms in peri-menopausal and post-menopausal women using or not using hormone replacement therapy. A two-year follow-up study. BMC Oral Health 10: 10.
- 24. Serino M, Waget A, Marsollier N, Masseboeuf M, Payros G, et al. (2011) Lipid-induced peroxidation in the intestine is involved in glucose homeostasis imbalance in mice. PLoS One 6: e21184.
- 25. Chan EC, McLaughlin R (2000) Taxonomy and virulence of oral spirochetes. Oral Microbiol Immunol 15: 1–9.
- 26. Wade-Gueye NM, Boudiffa M, Laroche N, Vanden-Bossche A, Fournier C, et al. (2010) Mice lacking bone sialoprotein (BSP) lose bone after ovariectomy and display skeletal site-specific response to intermittent PTH treatment. Endocrinology 151: 5103–5113.
- 27. Wilensky A, Gabet Y, Yumoto H, Houri-Haddad Y, Shapira L (2005) Three-dimensional quantification of alveolar bone loss in Porphyromonas gingivalis-infected mice using micro-computed tomography. J Periodontol 76: 1282–1286.
- 28. Munch IC, Larsen M, Borch-Johnsen K, Glumer C, Lund-Andersen H, et al. (2011) Cumulative glycaemia as measured by lens fluorometry: association with retinopathy in type 2 diabetes. Diabetologia 54: 757–761.
- 29. Takahashi K, Nishimura F, Kurihara M, Iwamoto Y, Takashiba S, et al. (2001) Subgingival microflora and antibody responses against periodontal bacteria of young Japanese patients with type 1 diabetes mellitus. J Int Acad Periodontol 3: 104–111.
- 30. Field CA, Gidley MD, Preshaw PM, Jakubovics N (2012) Investigation and quantification of key periodontal pathogens in patients with type 2 diabetes. J Periodontal Res 47: 470–478.
- 31. Willershausen B, Haas G, Krummenauer F, Hohenfellner K (2004) Relationship between high weight and caries frequency in German elementary school children. Eur J Med Res 9: 400–404.
- 32. Burcelin R, Serino M, Chabo C, Blasco-Baque V, Amar J (2011) Gut microbiota and diabetes: from pathogenesis to therapeutic perspective. Acta Diabetol 48: 257–273.
- 33. Serino M, Luche E, Gres S, Baylac A, Berge M, et al. (2012) Metabolic adaptation to a high-fat diet is associated with a change in the gut microbiota. Gut 61: 543–553.
- 34. Amar J, Burcelin R, Ruidavets JB, Cani PD, Fauvel J, et al. (2008) Energy intake is associated with endotoxemia in apparently healthy men. Am J Clin Nutr 87: 1219–1223.
- 35. Cani PD, Bibiloni R, Knauf C, Waget A, Neyrinck AM, et al. (2008) Changes in gut microbiota control metabolic endotoxemia-induced inflammation in high-fat diet-induced obesity and diabetes in mice. Diabetes 57: 1470–1481.
- 36. Salvi GE, Yalda B, Collins JG, Jones BH, Smith FW, et al. (1997) Inflammatory mediator response as a potential risk marker for periodontal diseases in insulin-dependent diabetes mellitus patients. J Periodontol 68: 127–135.
- 37. Sahingur SE, Xia XJ, Schifferle RE (2012) Oral bacterial DNA differ in their ability to induce inflammatory responses in human monocytic cell lines. J Periodontol 83: 1069–1077.
- 38. Tew JG, El Shikh ME, El Sayed RM, Schenkein HA (2012) Dendritic cells, antibodies reactive with oxLDL, and inflammation. J Dent Res 91: 8–16.
- 39. Goyert SM, Ferrero E, Rettig WJ, Yenamandra AK, Obata F, et al. (1988) The CD14 monocyte differentiation antigen maps to a region encoding growth factors and receptors. Science 239: 497–500.
- 40. Feghali K, Tanabe S, Grenier D (2011) Soluble CD14 induces cytokine release by human oral epithelial cells. J Periodontal Res 46: 147–152.
- 41. Ren L, Jiang ZQ, Fu Y, Leung WK, Jin L (2009) The interplay of lipopolysaccharide-binding protein and cytokines in periodontal health and disease. J Clin Periodontol 36: 619–626.
- 42. Carrillo-de-Albornoz A, Figuero E, Herrera D, Cuesta P, Bascones-Martinez A (2012) Gingival changes during pregnancy: III. Impact of clinical, microbiological, immunological and socio-demographic factors on gingival inflammation. J Clin Periodontol 39: 272–283.
- 43. Krejci CB, Bissada NF (2002) Women’s health issues and their relationship to periodontitis. J Am Dent Assoc 133: 323–329.
- 44. Oh TJ, Eber R, Wang HL (2002) Periodontal diseases in the child and adolescent. J Clin Periodontol 29: 400–410.
- 45. Giuca MR, Carli E, Pasini M, Bonfigli D, Cappe MR (2009) Evaluation of efficacy of estrogen and phytotherapy in oral cavity alterations of women in menopause. Minerva Ginecol 61: 13–22.
- 46. Baser U, Cekici A, Tanrikulu-Kucuk S, Kantarci A, Ademoglu E, et al. (2009) Gingival inflammation and interleukin-1 beta and tumor necrosis factor-alpha levels in gingival crevicular fluid during the menstrual cycle. J Periodontol 80: 1983–1990.
- 47. Calippe B, Douin-Echinard V, Laffargue M, Laurell H, Rana-Poussine V, et al. (2008) Chronic estradiol administration in vivo promotes the proinflammatory response of macrophages to TLR4 activation: involvement of the phosphatidylinositol 3-kinase pathway. J Immunol 180: 7980–7988.
- 48. Mascarenhas P, Gapski R, Al-Shammari K, Wang HL (2003) Influence of sex hormones on the periodontium. J Clin Periodontol 30: 671–681.
- 49. Arnal JF, Laurell H, Lenfant F, Douin-Echinard V, Brouchet L, et al.. (2006) Estradiol action in atherosclerosis and reendothelialization. Ernst Schering Found Symp Proc: 69–86.
- 50. Corcoran MP, Meydani M, Lichtenstein AH, Schaefer EJ, Dillard A, et al. (2010) Sex hormone modulation of proinflammatory cytokine and C-reactive protein expression in macrophages from older men and postmenopausal women. J Endocrinol 206: 217–224.
- 51. Gillgrass A, Chege D, Bhavanam S, Kaushic C (2010) Estradiol limits viral replication following intravaginal immunization leading to diminished mucosal IgG response and non-sterile protection against genital herpes challenge. Am J Reprod Immunol 63: 299–309.
- 52. Maekawa T, Takahashi N, Tabeta K, Aoki Y, Miyashita H, et al. (2011) Chronic oral infection with Porphyromonas gingivalis accelerates atheroma formation by shifting the lipid profile. PLoS One 6: e20240.
- 53. Mirza BA, Syed A, Izhar F, Ali Khan A (2010) Bidirectional relationship between diabetes and periodontal disease: review of evidence. J Pak Med Assoc 60: 766–768.