Effects of Salivary Constituents In Stimulated And Unstimulated Saliva Among Mobile Phone Using Young Adults in Tamil Nadu-A Pilot Study
Hariprasath Nagarajan1, Arthi. B2*, Meignana Arumugham Indiran3, Pradeep Kumar.R4
1 Post Graduate, Department of Public Health Dentistry, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Saveetha University,
No.162, Poonamallee high Road, Chennai 600077, Tamil Nadu, India.
2 Senior Lecturer, Department of Public Health Dentistry, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, No.162, Poonamallee high Road, Chennai 600077, Tamil Nadu, India.
3 Professor and Academic Head, Department of Public Health Dentistry, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, No.162, Poonamallee High Road, Chennai 600077, Tamil Nadu, India.
*Corresponding Author
Arthi. B,
Senior Lecturer, Department of Public Health Dentistry, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, No.162, Poonamallee
high Road, Chennai 600077, Tamil Nadu, India.
E-mail: arthi.bds@gmail.com
Received: April 19, 2021; Accepted: July 09, 2021; Published: July 21, 2021
Citation:Hariprasath Nagarajan, Arthi. B, Meignana Arumugham Indiran, Pradeep Kumar.R. Effects of Salivary Constituents In Stimulated And Unstimulated Saliva Among
Mobile Phone Using Young Adults in Tamil Nadu-A Pilot Study. Int J Dentistry Oral Sci. 2021;8(7):3474-3477.doi: dx.doi.org/10.19070/2377-8075-21000709
Copyright: Arthi. B©2021. 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.
Abstract
Introduction: There is an increasing prevalence in the prescription of drug therapy for the treatment of children with
chronic conditions. Syrups have a long history of use in pediatric medicine. They are widely prescribed, and are easily available.
Harmful effects occur when sucrose is metabolized by oral bacteria, particularly Streptococcus mutans, into weak organic
acids. It is important to assess the cariogenic potential of commonly used pediatric oral suspensions. Therefore, the aim of
this study was to assess the endogenous pH and cariogenic potential of commonly prescribed commercially available pediatric
oral suspensions and their effect on the growth of Streptococcus mutans.
Materials and methods: The present study is an in vitro study. Oral suspensions used are Asthakind, Ambrolite, Ambrolite
S, Moxikind CV, Maxtra, Cetzine, Ambrodil S, Azithral. Moxikind CV and azithral are effective against streptococcus mutans.
The pH of oral suspensions are evaluated using a digital pH meter. Mueller Hinton agar plates were swabbed with Streptococcus
mutans. Oral suspensions in concentrations of 25 µL, 50 µL, and 100 µL were loaded into those three wells. After that,
the plates were incubated at 37°C for 24 hours to test for Streptococcus mutans. For statistical significance Kruskal wallis test
was used with p value <0.05
Results: The Mean and SD of the zone of inhibition of Moxikind CV against Streptococcus mutans at 25µL is 37.33 ± 2.08,
50µL is 41.66 ± 2.0, 100µL is 43.66 ± 1.52 and the pH is 4.45. The Mean and SD of the zone of inhibition of Azithral against
Streptococcus mutans at 25µL is 27.66 ± 2.15, 50µL is 29.66 ± 2.08, 100µL is 12.66 ± 2.08. The pH of Azithral is alkaline in
nature (10.47). The other suspensions are not effective against streptococcus mutans but their pH are below the critical pH
level which has more potential to cause dental caries in the oral environment.
Conclusion: Though there is sugar content in the oral suspension like moxikind CV and azithral, they are effective against
streptococcus mutans. The pH of Moxikind CV is below the critical level and can influence the potential to cause dental caries
but it is highly effective against the streptococcus mutans which further decreases the cariogenic potential.
2.Introduction
6.Conclusion
8.References
Keywords
Mobile Phone Usage; MDA Levels; Total Salivary Proteins; Young Adults.
Introduction
Oral health is intertwined with general health, contributing to everyone's
overall well-being [1]. Use of hand-held mobile phones
can disrupt the oral physiology by altering the salivary constituents,
and not just pathological changes can impair the successful
functioning of the oral cavity [2]. Various researchers have analysed
the electromagnetic radiation released by hand-held mobile
phones, and have found an elevated risk of malignant gliomas,
acoustic neuromas, and tumours on the side of the head where
the phone is regularly positioned. The salivary glands are the primary
structures located close to where mobile phones are placed
for speaking [3].
Saliva is an underutilised diagnostic method that has gotten a lot
of attention in the last three decades due to its non-invasive nature,
lack of need for skilled personnel, and lack of special equipment
[4]. Saliva acts as a biomarker for many systemic disorders,
cancer, infectious diseases, opioid toxicity, and hormonal imbalances
by researchers all over the world [5]. Studies on salivary
biomarkers of diseases in general, and salivary biomarkers of
mobile phone exposure in particular, are scarce. The saliva plays
an important role in preserving oral homeostasis as the first defensive
line against microbial invasion which protects oral mucosa
mechanically and immunologically [6].
The electromagnetic radiation from the mobile phones has an effect
on the hemostatic system. As reactive oxygen species (ROS) degrade polyunsaturated lipids, malondialdehyde (MDA) is produced
as a byproduct, which is a biomarker for oxidative stress [7].
MDA is a biomarker of oxidative stress since it is the end result
of radical-initiated oxidative decomposition of polyunsaturated
fatty acids. The functions of salivary proteins include homeostatic
processes, lubrication, antimicrobial activity, and the control of
demineralization/remineralization of teeth.
A previous study found that exposure to electromagnetic radiation
from a Global System for Mobile Communications (GSM)
mobile base station raised salivary cortisol and amylase levels [8].
Mobile phones have become an inseparable part of our lives in
recent years. Every year, the number of prepaid cellular subscriptions
continues to rise. Globally, there were over seven billion
users. From 2000 to 2020, the global number of mobile users
increased sevenfold, from 6.5 percent to 43 percent [9]. Due to
the broad range of applications available on smartphones, the
majority of the global population (especially college and university
students) has been using them in recent years [10]. Smartphones,
though helpful in many respects, have drawbacks such as
decreased job effectiveness, personal focus, social nuisance and
psychological addiction affecting oral and personal health [11].
Hence, this study was aimed to evaluate the salivary proteins and
MDA levels of stimulated and unstimulated saliva of young adult
mobile phone users in Tamil Nadu.
Materials and Methods
The pilot study was conducted among students of the author's
institution. Mobile phone users of age ranging from 17-27 years
where a total of 17 males and 13 females participated. Students
who use mobile phones for speaking and are willing to participate
were included. Students with systemic illness were excluded. Ethical
approval to conduct the study was obtained from the author's
Institutional review board (IRB). Thirty students between the age
group 17- 27 years who gave consent to participate after explaining
the purpose of the study were recruited. The participants were
requested to fill a preformed questionnaire which contained the
demographic details, hours they spent talking through the mobile
phone, type of mobile phone they were using.
Thirty students based on the number of hours they spend on
talking through mobile phones were grouped as < one hour, 1-3
hours and more than 3 hours with 10 students in each group.
Their salivary samples were collected during class hours in the
forenoon time frame between break (9 to 11 A.M). This was done
to reduce the amount of variability in salivary flow rate and composition.
The participants were instructed to thoroughly rinse
their mouth with distilled water to eliminate any food debris.
They were asked to expel saliva into a sterile pre-weighted plastic
container without exerting any force for 12 minutes, as per the
method of Navazesh [12]. Their Stimulated salivary samples were
collected by making the participants to chew sugarless chewing
gums for 5 minutes and to spit the first formed saliva. They were
asked to expel the next forming saliva into the pre-weighed sterile
container for 5 minutes.
Salivary pH was evaluated using ELICO LI 120 digital pH meter.
Protein concentration was determined by the method of Lowry
et al., [13] with bovine serum albumin (BSA) as the standard.10µl
of the saliva was taken in a clean test tube and made up to 1ml
with distilled water. To this, 5ml alkaline copper reagent was added.
The contents were mixed well and allowed to stand at room
temperature for 10min. 500µL of 1N Folin-Ciocalteu reagent was
then added and mixed well immediately. After 20min, intensity of
the blue color developed and was read at 720nm against blank.
For plotting the standard graph, a set of standards (25, 50, 75, 100
and 125µg) were taken in a series of test tubes, and made up to
1ml with distilled water and processed as that of the samples. The
standard graph was drawn by plotting the concentration of standards
on the X-axis and the optical density on the Y-axis. Concentration
of protein in the sample was calculated by referring to the
standard curve and expressed as µg/ml.
MDA levels in saliva was evaluated using the chemicals such as
Tris HCl–KCl, 2-thiobarbituric acid (TBA), trichloroacetic acid
(TCA) and 1,1,3,3 tetraethoxypropane (TMP) that were purchased
from (Sigma Aldrich, USA). The level of MDA was assayed in the
saliva of study subjects, as previously described by Stalnaya and
Garishvili et al., [14]. Briefly, 0.3 ml of collected saliva was mixed
with 3 ml of 0.025 M Tris–HCL and 0.175 M KCl buffer (pH
7.4). Then, 2.5 ml of diluted saliva was mixed with 1 ml of 17%
(w / v) TCA and centrifuged at 4000 g for 10 min. The precipitate
was pelleted by centrifugation and the supernatant reacted with 1
ml of 0.8% (w / v) TBA in a boiling water bath for 10 min. After
cooling to room temperature, the absorption of the supernatant
was recorded at 532 nm using a UV-Visible spectrophotometer
(Thermo Fisher Scientific, UK). The arbitrary values obtained
were compared with a series of standard solutions (1,1,3,3 TMP).
The results are expressed as micromoles per millilitre (mcmol/L).
The collected data were analyzed using Statistical Package for Social
Sciences (SPSS) software version 23. Normality of the data
was assessed using Shapiro-Wilk's numerical test. The data was
found to be normally distributed. Descriptive statistics was performed
to present the mean salivary flow rate, salivary pH, total
protein and MDA levels. Mean comparison was employed using
One Way ANOVA with Tukey’s post-hoc test. p value <0.05 was
considered to be significant.
Results
The mean salivary flow rate, salivary pH, salivary total protein and
salivary MDA levels of stimulated and unstimulated saliva shows
statistical significance among the groups. Where p value <0.05.
Tukey's post hoc test for salivary pH and salivary flow rate of
both stimulated and unstimulated saliva showed statistical significance
between the groups <1 hour & 1-3 hours, 1-3 hours and
>3 hours, >3 hours and <1 hour with 95 % CI. where p value <
0.05. For salivary total protein there is no statistical significance
between 1-3 hours and >3 hours group and for salivary MDA
levels there is no statistical significance between <1 hour & 1-3
hours group where p value <0.05.
Table 2. Tukey’s post hoc test for salivary pH, flowrate, total protein and MDA levels in whole saliva.
Discussion
The present study aimed to evaluate the salivary constituents of
stimulated and unstimulated saliva among young adult mobile
phone users. The results revealed that in contrast to less mobile
users, salivary levels of total protein and malondialdehyde showed
major differences in high mobile users. The total salivary protein
levels are lower in participants using mobile phones for more
than 3 hours of talking than the other groups with mean and SD of (2.050±0.670, 1.950±0.112) respectively, being the highest of
other groups. Salivary total protein was significantly higher in high
mobile users, indicating adverse effect of mobile phone use on
cell health. The Previous studies have reported increased salivary
protein levels in oral cancer [15]. Furthermore studies suggest that
it can be used as a responsive biomarker for stress-related changes
in the body that represent sympathetic nervous system activity
[16]. Previous research has shown that non-ionic electromagnetic
radiation released by base stations decreases salivary amylase activity,
which supports our findings [17].
Cell phones are one of the most widely used devices that emit
electromagnetic waves, and are readily available to half of the
world's population [18]. Salivary flow was found to be decreased
in people who spoke on the phone for more than 3 hours in this
study. However, if you use your phone for more than an hour,
your salivary flow will rise as well. Despite the increased salivary
flow, total salivary protein was also decreased; this is in contrast to
the findings of another study, which found that as cell phone use
increased over time, salivary flow increased as well, where total
salivary protein was also increased [19]. On the other hand, it may
be due to the various effects of using a cellphone on the sympathetic and parasympathetic nervous systems. The sympathetic
and parasympathetic nervous systems regulate salivation; the
parasympathetic nervous system regulates fluid secretion, while
the sympathetic nervous system controls protein secretion. Using
a cell phone increases parasympathetic activity while decreasing
sympathetic activity; this may explain the findings of the current
research.
Oxidative stress has been related to the etiopathogenesis of several
chronic diseases [20]. There have been very few published studies
at saliva MDA levels. Saliva is considered functionally equivalent
to serum. Although the blood is the gold standard for doing many
medical tests, changes in serum have been reported to be reflected
equally in saliva. Therefore, the salivary evaluation of MDA could
serve as an alternative. In our investigation Estimation of MDA
levels in saliva of the participants showed elevated MDA levels in
the group who talk through hand held mobile phones for more
than 3 hours. This reflected in both stimulated and unstimulated
saliva. MDA levels in saliva of children with SCA were found
to be elevated, while they were normal in healthy controls, and
these results were consistent with serum MDA levels obtained in
a recent study [21]. Some studies have found elevated MDA levels
in patients with periodontitis. Marton et al. (1993) discovered
that the MDA content of chronic apical periodontitis tissues was
higher than that of healthy tissue from the same people [22]. In
the present study the estimation of salivary flow rate, total salivary
protein and MDA levels in saliva samples from the 30 participants
showed that the effect increases when usage of the mobile phone
increases. Hence the null hypothesis was rejected stating that
there is significant difference in salivary flow, total salivary protein
and salivary MDA levels in relation to the mobile phone usage.
The limitations of the study are lack of elaborated details on demographic
data and small sample size. Future studies should be
carried out with a large population and with people of various age
groups to arrive at a more confirmatory conclusion.
Conclusion
In conclusion the study proved that Speaking on the mobile
phone over an hour will decrease total protein levels, increase salivary
MDA levels than those speaking less than 1 hour. This may
be due to an increase in electromagnetic radiation caused by hand
held mobile phones which leads to increase in the risk of inflammatory
diseases or oral cancer in people.
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