Relationship between adipokines and periodontitis

Comparison of the Metabolic Profile between Unstimulated and Stimulated Saliva Samples from Pregnant Women with/without Obesity and Periodontitis

This study aimed to compare the metabolic profile of unstimulated (US) and stimulated (SS) saliva samples from pregnant women with/without obesity and periodontitis. Ninety-six pregnant women were divided into: obesity + periodontitis (OP = 20); obesity/no periodontitis (OWP = 27); normal BMI + periodontitis (NP = 20); and normal BMI/no periodontitis (NWP = 29). US and SS samples were collected by expectoration and chewing of sterilized parafilm gum, respectively, and samples were individually analyzed by Proton Nuclear Magnetic Resonance (1H-NMR). Univariate (t test and correlations) and multivariate (Principal Component Analysis-PCA, and Partial Least Square-Discriminant Analysis-PLS-DA with Variance Importance Projection-VIP scores) and Metabolite Set Enrichment Analysis were done (p < 0.05). Metabolites commonly found in all groups in elevated concentration in US samples were 5-Aminopentoate, Acetic acid, Butyric acid, Propionic acid, Pyruvic acid, and Succinic acid. They were mainly related to the butyrate metabolism, citric acid cycle, amino sugar metabolism, fatty acids biosynthesis, pyruvate metabolism, glutamate metabolism, and Warburg effect. Metabolites commonly found in all groups that were in elevated concentration in SS samples were Citrulline, Fumaric acid, Histidine, N-acetyl glutamine, N-acetylneuraminic acid, para-hydroxyphenylacetic acid, Proline, Tyrosine. Although some differences were found between unstimulated and stimulated saliva samples from pregnant women with/without obesity and periodontitis, stimulated saliva collection seems adequate, demonstrating similar metabolic pathways to unstimulated saliva samples when groups are compared.

Is There a Difference in the Proteomic Profile of Stimulated and Unstimulated Saliva Samples from Pregnant Women with/without Obesity and Periodontitis?

This study aimed to compare the proteomic profile of stimulated and unstimulated saliva samples from pregnant women with/without obesity and periodontitis. Pregnant women were allocated into four groups: with obesity and periodontitis (OP); with obesity but without periodontitis (OWP); with normal BMI but with periodontitis (NP); with normal BMI and without periodontitis (NWP). Stimulated saliva (SS) and unstimulated saliva (US) samples were collected, and salivary proteins were extracted and individually processed by proteomic analysis (nLC-ESI-MS/MS). Proteins involved with the immune response process, antioxidant activity, and retina homeostasis were decreased or absent in SS samples from all groups (i.e., Antileukoproteinase, Lysozyme C, Alpha-2-macroglobulin-like protein 1, Heat shock proteins-70 kDa 1-like, 1A, 1B, 6, Heat shock-related 70 kDa protein 2, Putative Heat shock 70 kDa protein 7, Heat shock cognate 71 kDa). Additionally, proteins related to the carbohydrate metabolic process and glycolytic and glucose metabolic process were absent in SS, mainly from OP and OWP (i.e., Frutose-bisphosphate aldose A, Glusoce-6-phosphate isomerase, Pyruvate kinase). Saliva stimulation decreased important proteins involved with immune response and inflammation process in all groups. Unstimulated salivary samples seem to be the best choice for the proteomic approach in pregnant women.

Is overweight associated with periodontitis in pregnant women? Systematic review and meta-analysis

This systematic review and meta-analysis aimed to generate pooled evidence for the association between excessive weight and pregnancy induced periodontitis. EMBASE, SCOPUS, PubMed/MEDLINE, Web of Science, BVS/LILACS, Cochrane Library and SCIELO databases were accessed. Eligibility criteria were: human clinical studies published between year 2000 and 2021. Newcastle-Ottawa scale was used to evaluate risk of bias of the studies. Meta-analysis was performed using MedCalc® Statistical Software. Eleven studies were included, evaluating 2152 pregnant women (743 with overweight/obesity and 1409 with normal body mass index - BMI), with a mean age of 29.62 years. Most studies had low risk of bias. A positive association between overweight/obesity and periodontitis was found, with an average of 61.04% of women with overweight/obesity and periodontitis, showing the overall random-effects relative risk and 95% CI of 2.21 (1.53–3.17) (p < 0.001). Arterial hypertension, gestational diabetes mellitus and excessive gestational weight gain were the most common adverse effects of maternal obesity that may have been linked to periodontitis induced pro-inflammatory state. In conclusion, a positive association was found between overweight/obesity and periodontitis during pregnancy. However, the high heterogeneity between the studies related to sample size, periodontal classification and the cutoff-points for BMI are the main limitation.

Serum and salivary adipokines in type 2 diabetes - Results of a pilot study in India

BACKGROUND AND AIMS

Association of serum and salivary adiponectin, apelin, visfatin and vaspin were studied in type 2 diabetes (T2DM) among Asian Indians. Their concentrations in periodontitis were also studied.

METHODS

In this cross-sectional analysis, men and women aged ≥35 years, with no history of diabetes, were screened for ≥3 risk factors for T2DM (n = 615). Eligible persons underwent a 75 gm oral glucose tolerance test and were categorized as Group A (Normal and Impaired Glucose Tolerant, n = 65) and Group B (Incident T2DM, n = 25). Screening for periodontitis was done. Saliva samples were collected in the morning. Participants refrained from food intake for about 2 hours prior to collection . Serum and saliva were stored for analysis.

RESULTS

Serum adiponectin was low (p = 0.006) in T2DM and correlated with its salivary levels (r = 0.46, p < 0.001). Serum apelin levels were similar, but salivary concentrations were higher (p = 0.014) in T2DM. Higher serum (p = 0.016) and salivary (p = 0.03) visfatin levels were seen in T2DM. Vaspin levels showed no significant difference in the two groups, either in blood or saliva. Serum adipokines did not differ in the presence of periodontitis. In saliva, higher vaspin (p = 0.034) and lower visfatin (p = 0.018) concentrations were observed.

CONCLUSIONS

The selected adipokines were measurable in saliva, in lower concentrations. Salivary adiponectin and visfatin measurements may be useful in studies on T2DM.

Ghrelin and adipokines: An overview of their physiological role, antimicrobial activity and impact on cardiovascular conditions

The human body has many different hormones that interact with each other and with other factors such as proteins, cell receptors and metabolites. There is still a limited understanding of some of the underlying biological mechanisms of some hormones. In the past decades, science and technology have made major advancements in regard to innovation and knowledge in fields such as medicine. However, some conditions are complex and have many variables that their full picture is still unclear, even though some of these conditions have an alarming rate of incidence and serious health consequences. Conditions such as type 2 diabetes, obesity, nonalcoholic liver disease (NAFLD), cancer in its different forms and even mental conditions, such as Alzheimer's disease, are some of the most common diseases in the 21st century. These conditions are relevant not only because of their high incidence on the general population, but also because of their severity. In this chapter, we present an overview of cardiovascular (CV) diseases. According to the World Health Organization (WHO), cardiovascular diseases, such as coronary artery disease (CAD), heart attack, cardiomyopathy and heart failure (among others), are the number one cause of death worldwide. In 2016, it was estimated that 17.9 million people died from CV diseases, representing more than 30% of all global deaths. Approximately 95% of people who died from CV diseases were so-called "premature deaths" because were referenced to individuals under the age of 70 years old. In this chapter we described some of the hormones that may have an impact on CV diseases, including ghrelin, a peptide that is mostly produced in the stomach, known to induce hunger. Ghrelin is linked to an increase in body fat, i.e., adipose tissue in animals. For this reason, we also included the adipokines leptin, adiponectin and resistin. The main objectives of this chapter are to present the state of the art knowledge concerning the mechanisms of each hormone relevant to CV diseases; to compile data and results that further elucidate the relevance of these peptides for several physiological events, conditions and diseases; and to discuss the metabolic impact of each hormone. We established connections between multiple peptides and the underlying condition/disease with tools such as STRING, referring to research using databases, such as UniProt, DisGeNET and Proteomics DB. Fig. 1 shows a network that summarizes the information presented in this chapter, which serves as a visual representation.

The Relation between Periodontopathogenic Bacterial Levels and Resistin in the Saliva of Obese Type 2 Diabetic Patients

This study aims to investigate the relation between resistin and periodontopathogenic bacterial levels in the saliva of obese adults compared to healthy control and to examine whether salivary resistin can serve as a biomarker of type 2 diabetes in obese patients. A total of 78 saliva samples were collected from patients attending to the University Dental Hospital, Sharjah, UAE. The patients were divided into three equal groups: obese diabetics, obese nondiabetics, and nonobese nondiabetic control. Salivary resistin was measured using ELISA. The levels of bacterial species associated with periodontitis (Treponema denticola, Porphyromonas gingivalis, Tannerella forsythia, and Actinobacillus actinomycetemcomitans) and gingivitis (Fusobacterium spp.) were measured using real-time PCR. Both salivary resistin and periodontopathogenic bacteria including Fusobacterium spp., P. gingivalis, and T. forsythia were detected in significantly higher quantities in the obese patients (diabetics and nondiabetics) than nonobese nondiabetic control. Resistin concentrations were significantly correlated with BMI; however, its level was not correlated with the blood glucose. In this study, high salivary resistin was associated with obesity, which is a major predisposing factor for type 2 diabetes and also a risk factor for oral diseases. The high levels of salivary periodontopathogenic bacteria could upregulate the local release of salivary resistin in obese people.