Background and aims: Current diabetes treatments are based on blood glucose level monitoring. However, it is necessary to design another non-invasive reliable diagnostic method. In current study, we aimed to determine the relation between fasting blood sugar (FBS) and fasting salivary glucose. Methods: In this case-control study, 30 diabetic patients (case) and 30 nondiabetic individuals (control) referred to a military hospital in 2019 were studied. The correlation between FBS and fasting salivary glucose was evaluated with Pearson test. Results: The mean age of participants in control and case group was 55. 4±, 2. 8 and 63. 7±, 2 years old, respectively. The mean FBS was 100. 5±, 3. 3 and 149. 2±, 3. 8 mg/dL in controls and cases, respectively, which were significantly different from each other (p<0. 001). The mean fasting salivary glucose in the control group and the case group was 0. 8±, 0. 14 and 1. 59±, 0. 35 mg/dL, respectively, which was significant different in the two groups (p=0. 038). Pearson analysis showed that there was a positive correlation between FBS and fasting salivary glucose (r=0. 265, p=0. 042). Conclusion: Fasting salivary glucose can be used as a noninvasive tool to control blood glucose in diabetics.

Background and Aim: Finding a relationship between the blood glucose level and its concentration in other body fluids such as the saliva can help in developing a conservative method for blood sugar assessment replacing venous sampling. The aim of this study was to evaluate the relationship of blood glucose level with salivary glucose in diabetic patients.Materials and Methods: This case-control study was conducted on 75 diabetic patients as the case and 75 healthy subjects as the control group. Blood and salivary glucose levels were measured in the two groups. Pearson’s correlation coefficient was used to assess the correlation of blood glucose with salivary glucose in the two groups.Results: The mean (±SD) blood glucose and salivary glucose level was 247±24.2mg/dl and 1.4±0.2mg/dl in the case group, respectively. These rates were 84.97±15.8 and 1.09±0.12mg/dl in the control group, respectively. Statistical analyses showed a high correlation between blood glucose level and salivary glucose in diabetic patients (r=0.9); whereas this correlation was insignificant in the healthy control group (r=0.18).Conclusion: This study showed a high correlation between blood glucose level and salivary glucose in diabetic patients.

Objective: Fasting plasma glucose (FPG) analysis is the most important method for detection and diagnosis of diabetes mellitus. Due to difficulty and problems of this method for determination of glycemia in diabetic patients, recently the use of Fasting Salivary Glucoseas a simple and non-invasive method to evaluate FPGhas came into significant consideration of specialists. The aim of this study was the presentation of a new method to evaluate FPG by salivary glucose measurement Material and Methods: This was a cross-sectional study which was done on 52 diabetic patients (test group) and 47 non diabetic patients (control group). After collection of saliva and blood samples, The FPG level was measured by GOD-PAP method and FSGlevel was measured by Glucose oxidase/peroxidase method. The statistical significance was calculated by T-Test and regression test for quantitative variables and Chi-square test for qualitative variables.Results: The average FSG in diabetic and non-diabetic groups were 11.43mg/dl and 5.2mg/dl, respectively. Also the correlation coefficients between FPG and FSG in diabetic and non-diabetic groups were 0.835 and 0.583 respectively (p-value=0.0001).Conclusion: This study showed that there is a significant linear relationship between FPG and FSG. Therefore, FSG amounts can be used as a non-invasive method to detect FPG.

Introduction: Diagnosis of diabetes is based on clinical sign & symptom and laboratory findings. Fasting plasma glucose analysis is the most important method for determination of diabetic patients. Due to invasiveness and stress of doing this method for evaluation of glycemia in diabetic patients, recently, the use of salivary glucose as a simple and non-invasive method came into significant consideration for specialists. The aim of this research is to evaluate FPG amount by salivary glucose in diabetic patients.Materials & Methods: This cross sectional study was done on 150 diabetic patients. After collection of saliva and blood samples in a fasting state, the FPG level was measured by GOD-PAP method and FSG level was measured by Glucose oxidase/peroxidase method. The statistical analysis was done by Pearson correlation and regression test.Results: The average of FSG and FPG were 6.10 and 158.61 respectively. The correlation coefficients between FPG and FSG was 0.593 (P<0.001).Conclusion: This study showed that there is a significant linear relationship between FPG and FSG. Therefore, FSG amounts can be used as a non- invasive method to detect FPG.

Background & Aim: Diabetes Mellitus is the most common metabolic condition. This disease is not diagnosed in approximately 1/2 of the patients actually suffering from the disease. In addition, the prevalence of diabetes mellitus is more than in patients with periodontitis when compared to periodontally healthy subjects. Thus, a high number of patients with periodontitis may have undiagnosed Diabetes Mellitus. The aim of this study was to evaluate the correlation between capillary blood glucose level and sulcular blood glucose level and blood from gingival tissues during routine periodontal examination used form gingival tissues during routine periodontal examination used for determining glucose level.Methods & Subjects: Thirty non-diabetic and 30 diabetic patients with moderate or severe periodontitis were included and subjected to routine clinical periodontal examination. Blood oozing from gingival tissues of anterior teeth following periodontal pocket probing was collected with the stick of glucose self monitoring devices. As control, finger stick capillary blood was taken. Statistical analysis was performed by Pearson's correlation coefficient and t tests.Results: The patient blood glucose levels ranged from 58 mg/dl to 477 mg/dl and the value of blood samples taken from gingival or finger tip showed a very high intra patient correlation (r = 0.99, P< 0.0001). The results suggested that blood oozig during routine periodontal examination may be used for Diabetes Mellitus screening in a dental office setting.Conclusion: Since there is correlation between sulcular glucose blood level and capillary glucose blood level, we can use this method for screening diabetic patient in dental clinic.

Background: Oral cancer is among the 10 most common cancers worldwide with an increasing global incidence.Compromised antioxidant defense system plays a role in occurrence of cancer. This study evaluated the salivary antioxidant level of oral cancer patients compared to a control group.Patients and Methods: This case-control study was conducted on 22 oral squamous cell carcinoma patients presenting to Imam Khomeini Hospital in Tehran, Iran, as the case and 20 healthy controls that matched the case group in terms of age, sex and race. Total salivary antioxidant level was measured in both groups.Results: The salivary antioxidant level of patients was significantly higher than that of healthy controls (P=0.029).Conclusion: Salivary antioxidant level of oral squamous cell carcinoma patients was significantly higher than healthy individuals. Saliva increases the anti-oxidant level as a compensatory action, thus, by administration of antioxidants we may help saliva in the fight against free radicals that are considered as predisposing factors for cancer.

Background. Background and Objectives: Periodontal disease is an inflammatory condition of the toothsupporting structures. Leptin is a hormone produced by the human body under different circumstances such as infection. It affects the production of cytokines, phagocytosis and the inflammation process. This study aimed to compare the salivary level of leptin in chronic periodontitis (CP) patients and healthy controls. Methods. Materials and Methods. In this case-control study, saliva samples were collected from 43 subjects including 22 CP patients and 21 healthy controls. The salivary level of leptin was determined using the ELISA. Data were analyzed by the independent t-test. Results. Results. Despite the presence of leptin in the saliva of CP patients and healthy controls, no significant difference was noted in its salivary concentration between the two groups (P >0. 05). Conclusion: The salivary level of leptin in CP patients was not significantly different from that in healthy controls. Further studies with larger sample size are required to confirm the results of this study. Conclusions. Conclusion According to the obtained results, leptin was present in the saliva of both CP patients and healthy controls and no significant difference was noted in its concentration between the two groups. Further studies with larger sample size are required to confirm the results of this study.