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BMC Research Notes

Open Access

Salivary profile in diabetic patients: biochemical and immunological evaluation

  • Monica Virginia Viegas Lima-Aragão1,
  • João de Jesus de Oliveira-Junior1,
  • Márcia Cristina Gonçalves Maciel1,
  • Lucilene Amorim Silva1,
  • Flávia Raquel Fernandes do Nascimento1 and
  • Rosane Nassar Meireles Guerra1Email author
BMC Research Notes20169:103

https://doi.org/10.1186/s13104-016-1881-1

Received: 6 November 2015

Accepted: 22 January 2016

Published: 16 February 2016

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

SalivaCompositionDiabetes mellitusIgAGlucoseUreaCalcium

Background

Diabetes mellitus is a public health problem since, in addition to important social repercussions. It is a chronic disease that affects a growing number of individuals from different countries which are at different stages of economic and social development [1]. Diabetes is classified into four clinical types: type 1 diabetes which results from β-cell destruction and usually leads to absolute insulin deficiency; type 2 diabetes which results from a progressive insulin secretory defect associated with insulin resistance; other specific types of diabetes due to other causes, and gestational diabetes mellitus [2].

Systemic diseases such as diabetes compromise salivary gland function and consequently influence the quantity and quality of saliva produced. Alterations in the chemical components and physical properties of saliva can serve as diagnostic parameters and saliva testing may therefore be added to the arsenal of complementary tests [3]. Saliva has several advantages over serum, including its simple and noninvasive collection and easy storage, transport and handling [4]. The wide variety of components found in saliva permits its use for diagnosis, prognosis and monitoring of human diseases [5], such as hereditary or congenital diseases [6], autoimmune diseases, cardiovascular diseases, infections [7], cancer [8], diabetes [9], caries [10], and periodontal disease [11], among others.

Differences in saliva production and composition have been observed previously between diabetic and non-diabetic subjects [12, 13]. Some authors have shown variable correlation rates between serological and saliva data [9, 12, 14]. However, despite this apparent controversial the saliva seems to be important and useful to evaluate physiologic alterations.

The aim of the present study was to evaluate the biochemical and immunological profile of saliva in diabetic patients, considering the total production of IgA, and the concentration specific IgA anti-insulin and anti-Streptococcus mutans, as additional biomarkers in saliva to state the differences between diabetic and non diabetics patients.

Methods

Population

The sample size was calculated based on the prevalence of diabetes in Maranhão (MS Hiperdia [15]), with a confidence interval of 95 %. Data were collected systematically during 6 month. The sample consisted of 142 subjects (93 diabetics and 49 controls).

The population was divided into two groups age-sex matched: DIABETIC and NON DIABETIC. The diabetic group comprises patients with diabetes type I and Type II, since there are no statistic differences among them, with a previous diagnosis of more than 4 years.

This study used a convenience sample based on the following inclusion criteria: age older than 18 years, a previous diagnosis of diabetes mellitus, and participation in the Diabetes Program of Presidente Dutra University Hospital, São Luís, Maranhão, Brazil. Only 88 diabetic patients, who met the inclusion criteria, had sufficient salivary flow for analysis and effectively agreed to participate in the study. The following criteria were used for inclusion in the control group: age older than 18 years, no systemic disease or diabetes, and no history of medication use. Only 39 non-diabetic adults, who met the inclusion criteria, effectively participated in the study. Sociodemographic data were obtained by semi-structured interview.

All subjects received information regarding the objective and procedures of the study and only participated in the data collection after signing a free informed consent form. The study protocol was approved by the Ethics Committee of Universidade Federal do Maranhão (Protocol No. 33104-149).

Collection of saliva samples

Unstimulated whole saliva was collected, in fasting, from diabetic and non-diabetic subjects over a period of 5 min. After rinsing their mouth with filtered water, the subjects were asked to spit saliva into a sterile flask. The flasks were sealed immediately after sample collection and refrigerated at 4 °C before transport to the laboratory. The saliva samples were centrifuged (10,000 rpm, 10 min) to reduce salivary debris and viscosity. Glucose and total protein concentrations were determined immediately after centrifugation. The other parameters were evaluated later in a supernatant stored at −20 °C.

Biochemical analysis

Glucose, total protein, urea, calcium and amylase concentrations were determined by a colorimetric method. The analyses were performed using automated procedures on an Architect C8000 apparatus (Abbott®) for glucose, amylase, total protein and calcium. Individual samples were tested in triplicate.

Determination of IgA levels

Salivary total IgA, anti-S. mutans IgA and anti-insulin IgA antibodies were determined by enzyme-linked immunosorbent assay (ELISA) as described previously [11]. Briefly, anti-human IgA (Sigma, St. Louis, USA) was diluted to a concentration of 50 µg/mL in carbonate-bicarbonate buffer (pH 9.6) and adsorbed onto ELISA strips in flat-bottom wells (NUNC, Roskilde, Denmark), followed by overnight incubation at 4 °C. The wells were then washed five times with 0.15 M phosphate-buffered saline (PBS; pH 7.2) containing 0.05 % Tween 20 (Promega, Madison, USA; PBS-T) and incubated in PBS containing 1 % bovine serum albumin (Sigma) for 1 h at 37 °C. The wells were washed five times and 100 µL of tenfold dilutions (1:100 to 1:1000) of saliva samples in PBS was added. After 30 min at 37 °C and further washing, 100 µL alkaline phosphatase-labeled goat anti-human IgA (Sigma; diluted 1:1000 in PBS-T) was added to the wells and the strips were incubated for 2 h at 37 °C. The strips were then washed five times with PBS-T. The color was developed by adding 100 µL of a solution of ρ-nitrophenylphosphate (Sigma) and incubating the strips for 30 min in the dark. The reaction was stopped with 1 N NaOH (Sigma) and the optical density was measured at a wavelength of 405 nm.

Clinical examination

The caries status of the patients was evaluated using the DMFT (decayed, missing and filled permanent teeth) index and was performed by a single examiner. Data on oral hygiene, access to dental care, and salivary flow were also collected.

Statistical analysis

Quantitative variables were compared between the two groups by the Student t test. The correlation between diabetic and non-diabetic patients was evaluated using Pearson’s linear correlation coefficient. A receiver operating characteristic (ROC) curve was constructed for the diagnostic test. This analysis considered glucose, total protein, urea, anti-insulin Ig, and amylase concentrations. The test was defined as positive when alterations in at least four parameters were observed. The sensitivity of the test was 88 %, specificity was 90 %, and diagnostic accuracy was 89 %. Categorical variables were compared by Fisher’s exact test. The level of significance for rejection 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 diagnosis of diabetes was 11 ± 8 years. Blood glucose levels were 261 ± 131 mg/dL. The data obtained for diabetic patients were compared to a control (non-diabetic) group of 39 subjects, including 22 females and 17 males. The mean (±SD) blood glucose levels were 92 ± 9 mg/dL in this group.

Table 1 shows the salivary biochemical parameters and Fig. 1 illustrates the immunological parameters. Glucose, urea, calcium, anti-S.mutans IgA, total IgA and anti-insulin IgA were significantly higher in diabetic patients (p < 0.05). On the other hand, total protein and amylase concentrations were significantly lower in diabetic patients (p < 0.05).
Table 1

Salivary parameters of diabetic and non-diabetic patients

Parameter

Controla

Diabetica

p value

Glucose (mg/dL)

3 ± 0.03b

11 ± 2

0.01

Urea (mg/dL)

17 ± 1

27 ± 1

0.0001

Calcium (mg/dL)

2 ± 0.1

2 ± 0.1

0.0004

Total protein (mg/dL)

2 ± 0.1

0.3 ± 0.03

0.0001

Amylase (AU/dL)

37 ± 0.4

37 ± 0.1

0.008

aSaliva samples obtained from 39 non-diabetic (control) subjects and 88 diabetic patients of both genders were evaluated

bResults are reported as the mean ± standard deviation (X ± SD)

Fig. 1

Salivary concentration of total IgA, anti-mutans (Streptococcus mutans) IgA and anti-insulin IgA in diabetic patients and healthy controls. The results are reported as the mean ± standard deviation (X ± SD) of 88 diabetic patients and 39 controls. (*) Significant when p < 0.05 compared to the control group

No positive correlation was observed between blood and salivary glucose levels in either group, although glucose levels were higher in diabetic patients than in the control group (Table 1). A negative correlation was found between salivary glucose concentration and anti-insulin IgA.

The diabetic patients were divided into two subgroups according to the use or not of insulin. The results showed no significant differences between diabetes I or diabetes II patients. For this reason, the salivary data were evaluated together as diabetic patients (Table 2).
Table 2

Salivary composition of diabetic patients who used insulin or not

Parameter

Use of insulin

p value

Yes

No

Glucose

12 ± 3b

9 ± 3b

0.51

Urea

28 ± 1

25 ± 1

0.06

Calcium

2 ± 0.1

2 ± 0.2

0.41

Amylase

0.3 ± 0.1

0.2 ± 0.1

0.56

Total protein

37 ± 1

37 ± 1

0.57

Anti-mutans IgA

21 ± 1

20 ± 2

0.59

Total IgA

35 ± 1

36 ± 1

0.61

Anti-insulin IgA

28 ± 2

27 ± 2

0.51

aSaliva samples obtained from 88 diabetic patients of both genders were evaluated

bResults are reported as the mean ± standard deviation (X ± SD)

A ROC curve was constructed to validate the salivary parameters that could be used for diagnostic testing. Glucose, total protein, urea, anti-insulin IgA, amylase and calcium concentration were included in the analysis. Only calcium was excluded after ROC analysis since it exhibited an area of 0.5, i.e., this parameter was not statistically significant (Table 3).
Table 3

Area under the ROC curve obtained for salivary parameters of diabetic patients

Parametera

Area under the ROC curve

Standard error

p value

Glucose

0.99

0.01

<0.0001

Total protein

0.98

0.02

<0.0001

Amylase

0.95

0.02

<0.0001

Anti-insulin IgA

0.84

0.04

<0.0001

Urea

0.81

0.05

<0.0001

Calcium

0.55

0.06

0.4274

aSaliva samples obtained from 88 diabetic patients of both genders were evaluated

Clinical examination showed a high DMFT index in diabetic patients (Table 4). Furthermore, compared to the control group, these patients had poor oral hygiene and less access to dental care and exhibited xerostomia signs such dry mouth (Table 5).
Table 4

Index of decayed, missing and filled permanent teeth (DMFT) in diabetic patients

Index

Diabetic (n = 88)

Control (n = 39)

p value

D

4 ± 0.4a

1 ± 0.2

<0.001

M

16 ± 1

0.5 ± 0.2

<0.001

F

1 ± 0.2

3 ± 0.4

<0.001

DMFTb

20 ± 1

5 ± 0.5

<0.001

aResults are reported as the mean ± standard error of the mean

b DMFT decayed, missing, filled permanent teeth

Table 5

Oral hygiene, access to dental care and dry mouth sensation in diabetic patients and controls

 

Diabetic f (%)a

Control f (%)a

p valueb

Number of tooth brushing

 1–2

52

10

<0.0001

 3–4

48

90

 Total

100

100

Use of dental floss

 Yes

22

67

<0.0001

 No

78

33

 Total

100

100

Last dental visit

 1 year

23

61

<0.0001

 2–3 years

77

38

 Total

100

100

Dry mouth sensation

 Yes

63

5

<0.0001

 No

37

95

 Total

100

100

af (%), frequency expressed as percentage

bFisher’s exact test

Discussion

Whole saliva is a mixture of salivary gland secretions containing substances derived from gingival crevicular fluid, desquamated epithelial cells, food rests, microorganisms, and products derived from microbial metabolism [16]. Since stimulation affects both the production of saliva and the concentration of some of its components [3, 17], in the present study unstimulated whole saliva was used to evaluate oral alterations associated with diabetes in adult patients.

A significant increase in the salivary concentration of glucose, calcium and urea was observed in diabetic patients. Similar results of calcium concentration have been reported previously [18]. Furthermore, the increases were similar to those reported by other investigators that evaluated biochemical parameters in the saliva of diabetic patients [12]. Changes in salivary composition have been suggested to affect the development, symptoms and severity of many oral diseases, particularly in diabetic patients [9].

No correlation between salivary and blood glucose levels was observed in diabetic patients despite higher salivary glucose concentration in this group. Salivary and blood levels of glucose may be considered independent variables as previously described for adults [1214] and children with diabetes [19]. According to Jurysta et al. [13], salivary glucose concentration measured either in unstimulated or stimulated saliva is always higher in diabetic patients than in control subjects, and this high concentration exerts potentially unfavorable effects on the oral health of these patients. These results agree with the present findings and confirm the weak association between blood glucose levels and glucose concentration or excretion in saliva, at least in individual cases [14].

Total amylase and protein were significantly lower in diabetic patients. Amylase was evaluated as a marker of metabolic and hormonal changes in salivary gland products. Yavuzyilmaz et al. [20] also reported lower levels of amylase in diabetic patients. In contrast, salivary total protein concentration differed from that reported in studies evaluating this parameter after freezing and storage of the sample [21]. This difference might be explained by the fact that in the present study the assay was performed immediately after collection and centrifugation of the saliva samples to prevent endogenous proteolytic activity [4].

Evaluation of immunological changes in saliva showed a higher total IgA antibody concentration in diabetic patients. These findings are probably associated with the elevated levels of specific anti-S. mutans and anti-insulin antibody levels also observed in these patients. The determination of changes in whole saliva composition may be used to diagnose possible variations and defective host immune responses, including the secretion of s-IgA [22]. Similar results have been reported in other studies evaluating the salivary production of IgA antibodies in diabetic patients [20, 23].

According to Batista et al. [23], S. mutans counts are usually higher in diabetic patients. Although the degree of infection of the patients was not quantified in this study, elevated anti-S. mutans antibody titers might be related to an increased bioavailabilityof bacterial antigens. The local response of specific antibodies to certain plaque bacteria such as S. mutans may identify sites with a potential risk of developing caries and other oral diseases even before onset of the first clinical signs [24]. Streptococcusmutans is a Gram-positive bacterium that is potentially aggressive to various tissues. Elevated anti-S. mutans IgA concentrations may indicate that the patients are systematically exposed to this microorganism, as well as a higher caries risk [25], especially if we consider the poor oral hygiene and less access to dental care showed in the present study (Table 5).

In the present study high levels of anti-insulin IgA antibodies were detected in saliva from diabetic patients and this result may explain the elevation of glucose levels observed in diabetic patients. The diabetes hyperglycemia Insulin is known to have a regulatory role on glucose levels and the anti-insulin antibodies are frequently responsible to block the insulin ligation to the respective receptor, increasing the biodisponibility of this hormone and decreasing its action [2628], resulting from defects in insulin secretion, insulin action, or both [2], observed in diabetes.

There is no previous report about anti-insulin antibodies in saliva from diabetic patients in association with other salivary profile. For this reason the results altogether may highlight information about the salivary biomarkers in diabetic patients, since the detection of anti-insulin antibodies are frequently associated to insulin antibody-induced insulin resistance and can be used as diagnostic and prognostic markers to diabetes, but also to other autoimmune diseases [26, 27].

According Eisenbarth (2003) [28], specific patterns of autoantibody expression may predict risk and progression to diabetes ranging from 20 % to >90 %, mainly in diabetes type I. We propose a detection of IgA anti-insulin in saliva as useful tool to predict diabetes risk early, as well as, an important result to monitoring the progression of disease in diabetic patients, with the same accuracy as that obtained for serum anti-insulin antibodies and with less discomfort to the patients during fluid collection.

Considering a large number of patients were using injectable insulin, we investigated whether this treatment alters the variables analyzed. No significant differences in salivary biochemical or immunological parameters were observed between non-insulin-dependent and insulin-dependent diabetic patients. Similar findings have been reported by Jurysta et al. [13] and Yavuzyilmaz et al. [20] who also compared saliva of insulin-dependent and non-insulin-dependent diabetic patients.

Biochemical and immunological alterations in the saliva of diabetic patients have been described and salivary changes may serve as a complementary parameter for the diagnosis of diabetes mellitus [3]. In the present study, the clinical performance of an individual test was demonstrated by the ROC curve after the variables had been combined and were validated for diagnostic use. The greater the capacity of a test to discriminate between diabetic and non-diabetic subjects, the closer is the curve to the left corner of the graph, with an area under the curve close to 1 [29]. The sequence of individual variables that best discriminate diabetic patients was glucose (area of 0.99), total protein (area of 0.98), amylase (area of 0.95), anti-insulin IgA (area of 0.83), and urea (area of 0.80). The accuracy of the diagnostic test combining these parameters was 89 %. A similar accuracy (90 %) has been reported by Lopez et al. [19] who used saliva for the diagnosis of diabetes in children considering calcium, urea, total sugars, glucose and total protein concentration as done in the present study for adult patients.

The association of dental caries with diabetes is less clear. In this study, diabetic patients had a higher DMFT index than control subjects. The average number of teeth lost was 16 and the average number of decayed teeth was 3.7, which were responsible for the high DMFT index in these patients. The dry mouth sensation and increased salivary glucose levels observed here may alter the effectiveness of salivary protection against caries [10]. Other factors such as poor oral hygiene and deficient regular care of these patients can aggravate pre-existing diseases. Data from clinical evaluation may explaining the high level of IgA anti-S.mutans, as low salivary flow, and high DMFT index are frequently associated to an increase in bacterial counts and the risk of infection among diabetic patients.

Its important to emphasizes the age differences between the control group (23 ± 6, range: 19–50 years) and diabetic patients (52 ± 18), as well the range intra group (range: 18–84 years), due to the inclusion criteria What can also influence the differences found between the two groups.

Diabetic patients with reduced salivary flow have an increased risk of enamel hypomineralization and caries formation [30]. A decrease in salivary flow can cause oral alterations such as an increase in the concentration of mucin and glucose. Proliferation of pathogenic microorganisms may also occur. The consequences of chronic hyperglycemia include tongue alterations, periodontal disease, tooth demineralization, and an increased infection risk [31]. The early detection and treatment of hyperglycemia and hyposalivation may provide a useful strategy to prevent the dental complications of diabetes and to promote oral health in this population [32].

Salivary composition in diabetes type 1 and 2 can be correlated to an increased risk of periodontal disease [33, 34]. Carda et al. [16], evaluating type 2 diabetic patients, found symptoms of periodontal disease associated with tooth decay and tooth loss in all patients. Jones et al. [35] demonstrated an increased caries risk in 457 patients with diabetes mellitus. Their study included patients with type 1 and type 2 diabetes, similar to the present study.

There was a positive correlation between DMFT and total IgA and a negative correlation between DMFT and tooth brushing in diabetic patients. Similar results have been reported by Smith and Taubman [36] for adult patients. In the group with caries, the authors observed a significant positive correlation between plaque index and specific IgA.

The diagnostic value of saliva has been demonstrated in a series of studies showing the accuracy and specificity of this body fluid for the diagnosis of diseases [35, 79, 12, 13, 17, 19, 20, 37]. The ease of collection of saliva samples and the lower risk of contamination of healthcare workers during sample handling are important advantages that support the use of this fluid as a diagnostic tool. Furthermore, studies comparing the results of saliva analysis with other reliable scientific methods, such as blood measurements, have demonstrated that the method is reliable and its application is therefore valid.

There is no previous report about the detection of anti-insulin in saliva of diabetic patients and its relation to several biochemical parameters. The present study was the first to demonstrate that a combination of immunological and biochemical parameters as useful data to monitor diabetic patients, since significant differences were observed in the saliva composition of diabetic patients, The alterations detected indicating a strong relationship between our findings and the systemic health status of the patient. Moreover, some salivary parameters were found to be useful to classify an adult as diabetic. This difference in salivary composition thus suggests the use of saliva as an alternative fluid to monitor patients with diabetes mellitus, considering the increase of diabetes not only in Brazil but also in other countries and the possibility to find new forms of diagnosis to design prevention strategies.

Abbreviations

IgA

immunoglobulin A

s-IgA: 

secretory IgA

ELISA: 

enzyme-linked immunosorbent assay

DMFT index: 

decayed, missing and filled permanent teeth index

ROC curve: 

receiver operating characteristic

X ± SD: 

mean ± standard deviation

Declarations

Authors’ contributions

MVVL-A, JJOJr, MCGM and LAM: have been involved in acquisition of data, analysis and interpretation of data; drafting the manuscript and important intellectual content. FRFN: Have been involved in analysis and interpretation of data; drafting the manuscript and revising it critically for important intellectual content. RNMG: Was responsible to the conception, design, acquisition of data, analysis, interpretation of data; drafting the manuscript and intellectual content as the leader of this research group. All authors read and approved the final manuscript.

Acknowledgements

To Maranhão State Foundation (FAPEMA)-EditalPPSUS, Federal University of Maranhão (UFMA) and National Council for Scientific and Technological Development (CNPq) for the financial support and to CNPq for the research fellowship of RNMG and FRFN.

Competing interests

The authors declare that they have no competing interests.

Open AccessThis 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.

Authors’ Affiliations

(1)
Laboratory of Immunophysiology, Campus Universitário do Bacanga, Universidade Federal do Maranhão (UFMA)

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