Salivary Profile in Diabetic Patients: Biochemical and Immunological

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Salivary Profile in Diabetic Patients: Biochemical and Immunological Lima‑Aragão et al. BMC Res Notes (2016) 9:103 DOI 10.1186/s13104-016-1881-1 BMC Research Notes RESEARCH ARTICLE Open Access Salivary profile in diabetic patients: biochemical and immunological evaluation Monica Virginia Viegas Lima‑Aragão, João de Jesus de Oliveira‑Junior, Márcia Cristina Gonçalves Maciel, Lucilene Amorim Silva, Flávia Raquel Fernandes do Nascimento and Rosane Nassar Meireles Guerra* Abstract Background: The aim of this study was to evaluate the biochemical and immunological characteristics of saliva from diabetic patients compared to non-diabetic adults. Methods: Eighty-eight diabetic adults and 39 non-diabetic adults (control) were included in the study. Glucose, urea, calcium, total protein and amylase were determined by a colorimetric method. The levels of secretory IgA and the IgA anti-Streptococcus mutans and anti-insulin IgA antibodies were measured by enzyme-linked immunosorbent assay (ELISA). Caries status was evaluated using the DMFT index. Results: Glucose, urea, calcium, anti-S. mutans IgA, total IgA, and anti-insulin IgA were significantly higher in diabetic patients, whereas total protein and amylase levels were lower in these patients. There was no positive correlation between blood and salivary glucose levels in either group. Diabetic patients had a higher DMFT index. Conclusions: The present study showed for the first time that IgA levels in diabetic patients’saliva, shows correlation with systemic biochemical parameters. Thus the saliva is an useful tool to follow the systemic health status in these patients. Keywords: Saliva, Composition, Diabetes mellitus, IgA, Glucose, Urea, Calcium Background can serve as diagnostic parameters and saliva testing Diabetes mellitus is a public health problem since, in may therefore be added to the arsenal of complemen- addition to important social repercussions. It is a chronic tary tests [3]. Saliva has several advantages over serum, disease that affects a growing number of individuals including its simple and noninvasive collection and easy from different countries which are at different stages of storage, transport and handling [4]. The wide variety of economic and social development [1]. Diabetes is classi- components found in saliva permits its use for diagnosis, fied into four clinical types: type 1 diabetes which results prognosis and monitoring of human diseases [5], such as from β-cell destruction and usually leads to absolute hereditary or congenital diseases [6], autoimmune dis- insulin deficiency; type 2 diabetes which results from eases, cardiovascular diseases, infections [7], cancer [8], a progressive insulin secretory defect associated with diabetes [9], caries [10], and periodontal disease [11], insulin resistance; other specific types of diabetes due to among others. other causes, and gestational diabetes mellitus [2]. Differences in saliva production and composition have Systemic diseases such as diabetes compromise salivary been observed previously between diabetic and non-dia- gland function and consequently influence the quan- betic subjects [12, 13]. Some authors have shown variable tity and quality of saliva produced. Alterations in the correlation rates between serological and saliva data [9, chemical components and physical properties of saliva 12, 14]. However, despite this apparent controversial the saliva seems to be important and useful to evaluate physi- *Correspondence: [email protected] ologic alterations. Laboratory of Immunophysiology, Campus Universitário do Bacanga, The aim of the present study was to evaluate the bio- Universidade Federal do Maranhão (UFMA), 1966‑Centro, São Luís, MA 65080, Brazil chemical and immunological profile of saliva in diabetic © 2016 Lima-Aragão et al. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons. org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Lima‑Aragão et al. BMC Res Notes (2016) 9:103 Page 2 of 7 patients, considering the total production of IgA, and the Biochemical analysis concentration specific IgA anti-insulin and anti-Strep- Glucose, total protein, urea, calcium and amylase con- tococcus mutans, as additional biomarkers in saliva to centrations were determined by a colorimetric method. state the differences between diabetic and non diabetics The analyses were performed using automated proce- patients. dures on an Architect C8000 apparatus (Abbott®) for glucose, amylase, total protein and calcium. Individual Methods samples were tested in triplicate. Population The sample size was calculated based on the prevalence Determination of IgA levels of diabetes in Maranhão (MS Hiperdia [15]), with a confi- Salivary total IgA, anti-S. mutans IgA and anti-insu- dence interval of 95 %. Data were collected systematically lin IgA antibodies were determined by enzyme-linked during 6 month. The sample consisted of 142 subjects (93 immunosorbent assay (ELISA) as described previously diabetics and 49 controls). [11]. Briefly, anti-human IgA (Sigma, St. Louis, USA) The population was divided into two groups age-sex was diluted to a concentration of 50 µg/mL in carbonate- matched: DIABETIC and NON DIABETIC. The diabetic bicarbonate buffer (pH 9.6) and adsorbed onto ELISA group comprises patients with diabetes type I and Type strips in flat-bottom wells (NUNC, Roskilde, Denmark), II, since there are no statistic differences among them, followed by overnight incubation at 4 °C. The wells were with a previous diagnosis of more than 4 years. then washed five times with 0.15 M phosphate-buffered This study used a convenience sample based on the fol- saline (PBS; pH 7.2) containing 0.05 % Tween 20 (Pro- lowing inclusion criteria: age older than 18 years, a pre- mega, Madison, USA; PBS-T) and incubated in PBS vious diagnosis of diabetes mellitus, and participation containing 1 % bovine serum albumin (Sigma) for 1 h in the Diabetes Program of Presidente Dutra University at 37 °C. The wells were washed five times and 100 µL Hospital, São Luís, Maranhão, Brazil. Only 88 diabetic of tenfold dilutions (1:100 to 1:1000) of saliva samples patients, who met the inclusion criteria, had sufficient in PBS was added. After 30 min at 37 °C and further salivary flow for analysis and effectively agreed to par- washing, 100 µL alkaline phosphatase-labeled goat anti- ticipate in the study. The following criteria were used for human IgA (Sigma; diluted 1:1000 in PBS-T) was added inclusion in the control group: age older than 18 years, to the wells and the strips were incubated for 2 h at 37 °C. no systemic disease or diabetes, and no history of medi- The strips were then washed five times with PBS-T. The cation use. Only 39 non-diabetic adults, who met the color was developed by adding 100 µL of a solution of inclusion criteria, effectively participated in the study. ρ-nitrophenylphosphate (Sigma) and incubating the Sociodemographic data were obtained by semi-struc- strips for 30 min in the dark. The reaction was stopped tured interview. with 1 N NaOH (Sigma) and the optical density was All subjects received information regarding the objec- measured at a wavelength of 405 nm. tive and procedures of the study and only participated in the data collection after signing a free informed con- Clinical examination sent form. The study protocol was approved by the Ethics The caries status of the patients was evaluated using the Committee of Universidade Federal do Maranhão (Proto- DMFT (decayed, missing and filled permanent teeth) col No. 33104-149). index and was performed by a single examiner. Data on oral hygiene, access to dental care, and salivary flow were Collection of saliva samples also collected. Unstimulated whole saliva was collected, in fasting, from diabetic and non-diabetic subjects over a period Statistical analysis of 5 min. After rinsing their mouth with filtered water, Quantitative variables were compared between the two the subjects were asked to spit saliva into a sterile groups by the Student t test. The correlation between flask. The flasks were sealed immediately after sample diabetic and non-diabetic patients was evaluated using collection and refrigerated at 4 °C before transport to Pearson’s linear correlation coefficient. A receiver oper- the laboratory. The saliva samples were centrifuged ating characteristic (ROC) curve was constructed for the (10,000 rpm, 10 min) to reduce salivary debris and vis- diagnostic test. This analysis considered glucose, total cosity. Glucose and total protein concentrations were protein, urea, anti-insulin Ig, and amylase concentra- determined immediately after centrifugation. The other tions. The test was defined as positive when alterations parameters were evaluated later in a supernatant stored in at least four parameters were observed. The sensitivity at −20 °C. of the test was 88 %, specificity was 90 %, and diagnostic Lima‑Aragão et al. BMC Res Notes (2016) 9:103 Page 3 of 7 accuracy was 89 %. Categorical variables were compared by Fisher’s exact test. The level of significance for rejec- tion of the null hypothesis was set at p ≤ 0.05 in all tests. All analyses were performed using the GraphPad Prism 5.0 program. Results The control group consisted of 39 clinically healthy subjects with a mean (±SD) age of 23 ± 6 years (range: 19–50 years). The mean ±( SD) age of the diabetic patients was 52 ± 18 years (range: 18–84 years). Fifty-seven of the 88 diabetic patients were females and 31 were males, and 59 were using insulin. The time since Fig. 1 Salivary concentration of total IgA, anti‑mutans (Streptococ- diagnosis of diabetes was 11 8 years. Blood glucose lev- cus mutans) IgA and anti‑insulin IgA in diabetic patients and healthy ± controls. The results are reported as the mean standard deviation ± els were 261 ± 131 mg/dL.
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