IMR Press / FBL / Volume 28 / Issue 10 / DOI: 10.31083/j.fbl2810263
Open Access Original Research
Comparative Evaluation of Salivary Parameters in Tobacco Substance Abusers
Show Less
1 Department of Oral Pathology and Microbiology, KM Shah Dental College and Hospital, Sumandeep Vidyapeeth Deemed to be University, Piparia, Waghodia, Vadodara, 391760 Gujrat, India
2 Department of Pharmacology, Ulhas Patil Medical College and Hospital, Jalgaon, 425309 Maharashtra, India
3 Department of Biochemistry, Parul Institute of Medical Sciences and Research, Parul University, Waghodiya, 391760 Gujarat, India
4 Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, 21944 Taif, Saudi Arabia
5 Department of Oral Pathology and Microbiology, Sri Venkateswara Dental College and Hospital, 600130 Chennai, India
6 Department of Oral and Maxillo Facial Sciences, Sapienza University of Rome, 00161 Rome, Italy
7 Department of Prosthodontics and Implantology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, 600077 Chennai, India
8 Department of Restorative Dental Sciences, Division of Operative Dentistry, College of Dentistry, Jazan University, 45142 Jazan, Saudi Arabia
9 Department of Cariology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, 600077 Chennai, India
10 Now with College of Dental Medicine, Roseman University of Health Sciences, South Jordan, UT 84095, USA
*Correspondence: shilpa.bhandi@gmail.com (Shilpa Bhandi)
Front. Biosci. (Landmark Ed) 2023, 28(10), 263; https://doi.org/10.31083/j.fbl2810263
Submitted: 13 December 2022 | Revised: 12 March 2023 | Accepted: 10 April 2023 | Published: 25 October 2023
Copyright: © 2023 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license.
Abstract

Background: Tobacco use by youth is ever-demanding, and it is increasingly distributed not only in India but also globally. Saliva is a complex oral bio-fluid, freely available, performing absolute tasks for maintaining oral health and homeostasis. It contains a plethora of significant constituents such as proline-rich proteins (PRPs), immunoglobulins, IgA, enzymes lysozyme, lactoferrin, peroxidases, amylase, etc. The basic ecological balance of the oral cavity is stabilized via salivary clearance by reduced aggregation and adherence of microorganisms by direct microbial activity. This balance of oral activity is also done by indirect mechanisms by immunological as well as non-immunological means and also by effectively regulating salivary pH flow rate. This institutional observational study was planned to assess and compare salivary parameters (pH, salivary flow rate), total proteins, α-amylase, calcium, phosphate, and IgA, of unstimulated whole saliva of both tobacco abusers and tobacco non-users. Methods: The Study consisted of 270 participants (Tobacco habit) group, n = 135 and Control (Healthy) group, n = 135 and were in the age range of 20–50 years. They were assessed for oral health status, followed by the analysis of salivary pH, flow rate, total proteins, amylase, calcium, phosphates, and IgA of unstimulated whole saliva. Results: Comparative evaluation of salivary parameters among groups found that varying tobacco abusers had increased salivary amylase, protein levels, and phosphate whereas decreased salivary pH, flow rate, IgA, and in the whole unstimulated saliva samples than those of non-tobacco users. This difference among groups was statistically significant. (p < 0.05), and calcium levels were not altered significantly. Conclusions: This study concludes that salivary parameters are altered in tobacco abusers when compared to those of non-abusers, and it was more significant in smokeless tobacco abusers than in any other form of tobacco abuse.

Keywords
amylase
calcium
flow rate
IgA
pH
saliva parameters
tobacco abuser
1. Introduction

Tobacco abuse in either smoking or smokeless form is in wide use globally, especially by youth and adult populations affecting both genders and presenting a challenge to public health. Tobacco in either form leads to changes in oral health, forms various oral lesions to the extent of oral cancer, and causes serious health damage [1, 2]. Toxic chemicals of tobacco invade cells, imparting malignant changes, and resulting in physical and psychological disability affecting the quality of life [3]. Tobacco habits are correlated with a high prevalence of dental caries and higher DMFT scores [4].

Tobacco abuse may lead to alteration in the local environment of the oral cavity as well as saliva and its constituents. Saliva is a clear, viscous, watery, heterogeneous, and complex oral bio-fluid, also known as the mirror of the body, and is an essential component of the oral cavity. Saliva collection is not only rapid, simple, noninvasive, accurate, and inexpensive, but saliva is a chair-side screening medium of diagnostic importance for exploring the health of an individual [5]. The role of saliva as a diagnostic aid is described in various clinical situations, including dental caries. Salivary pH varies from 6.0 to 7.4 and constitutes potassium, bicarbonate, sodium, and chloride ions. Salivary antimicrobial constituents comprised lysozymes, thiocyanate, immunoglobulins, transferrin, and lactoferrin [5]. Saliva maintains the integrity of the oral mucosa and has mechanical cleansing action along with antimicrobial activity; it lubricates the oral cavity, controls pH, and hence remineralization of teeth. Saliva protects the tooth being the mainstay of calcium and phosphate ions, influencing the driving force for the dissolution or precipitation of calcium hydroxyapatite (HAP), the main inorganic constituent of teeth [6]. Post-eruptive maturation of enamel as well as remineralization of incipient carious lesions, is facilitated through the saliva [7]. Salivary proteins are related to the immune response and protect oral tissues by possessing bacteria-killing properties of histatins and defensins [5]. Salivary Alpha amylase cleaves α (1–4) glycoside linkage in starch and glycogen. It also clears food debris containing starch when retained encircling the teeth and/or dissolves it over oral mucosa [8].

Secretory Salivary IgA acts as the first line of host defense against invading mucosal surface pathogens by neutralizing the bacterial toxins and enzymes and preventing adherence of the bacteria by blockage of bacterial adhesion to the tooth surface, leading to reduced hydrophobicity and agglutination of the oral bacteria [9, 10].

The greatest virtue of man is perhaps curiosity. Saliva has a very important role in maintaining tooth structure integrity, and it is influenced by external oral environmental factors such as tobacco and alcohol. Alcohol influences saliva via the microbial oxidation of ethanol by forming acetaldehyde [11]. Ethanol stimulates parotid saliva flow rate initially, but frequent acute alcohol doses may reduce salivary secretion [12]. Saliva is the multi-constituent, first oral fluid to come in contact with tobacco and cigarette smoke. Cigarette smoke contains a large amount of oxidative species and increases reactive oxygen species (ROS) production or initiates radical chain reaction. It also induces oxidative stress and reduces its antioxidant compounds. Tobacco abuse can act as an immunomodulator in the oral cavity. Its effect on bacterial diversity and host response has been found to be altered in smokers when compared to healthy participants. Tobacco abuse, over a period of time, may lead to depressed salivary reflex and hence impaired salivary flow rate. On the contrary, tobacco can lead to parasympathetic stimulation of post-ganglionic neurons in response to its nicotine and hence increased salivation. Evidence suggests that smoking leads to reduced saliva release with altered composition with contradictory results. Additionally, both smoking and smokeless forms of tobacco contain proven carcinogens and toxic substances. Because of this, protective multi-constituent saliva can lose or alter its enzymes, proteins, and hence its protective mechanism. Existing studies have reported contradictory results evaluating salivary parameters in tobacco abusers, and there is a scarcity of studies comprehensively evaluating all parameters; there is a need to study these salivary parameters among tobacco abusers to those of non-abusers. Saliva contains many biochemical substances, antibacterial components and is the first line of defense. The purpose of the present study was to evaluate the influence of tobacco, either in smoking or smokeless forms, on saliva by comprehensively estimating various salivary constituents and comparing the same with non-tobacco users. Understanding the variation of salivary calcium, phosphates and alpha-amylase, IgA, Flow rate, pH, and protein in tobacco abusers may help us to limit the overall disease burden. By keeping this in mind, the research hypothesis was framed as, “There is variation in salivary pH, Flow rate, Protein, α-amylase, calcium, phosphates, and IgA levels among tobacco abusers compared to those of non-users”.

2. Materials and Methods

270 Participants for the study were randomly selected from the patients visiting the outpatient Department of K M Shah Dental College and Hospital. (Study Approval: SVIEC/ON/DENT/PHD/15002 dated 31 August 2015) The sample size was determined as per the number of patients visiting the outpatient department of the hospital. This study was attempted as a case control study.

Study Groups were as follows:

Group A (n = 135): Tobacco and related substance abuse in any form for a minimum of 5 years duration.

Group B (n = 135): Normal healthy participants without any habits as controls. The inclusion criteria for the study group (Group A) were:

(1) Participants have a history of continuation of tobacco habit for a minimum of 5 years to ensure changes due to tobacco addiction, though tobacco addiction develops over a period of 12 months of use of tobacco substances.

(2) The age range of 20–50 years.

(3) Participants with a habit of smokeless tobacco, e.g., Gutka, padiki, flavored tobacco with betel nut, pan masala, or smoking form of tobacco.

Exclusion Criteria for the study group (Group A) were:

(1) Subjects with systemic diseases, diabetes, patients on medications affecting salivary secretions, and special health care needs.

(2) Individuals with tobacco abuse habits of less than 5 years or occasional tobacco abusers.

(3) Participants having oral mucosal lesions, either pre-cancer or cancer or similar visually detected lesions, were excluded from the study.

(4) Patients on steroids and antibiotics for the last six months were excluded from the study.

(5) Pregnant and adolescent females or females having metabolic or hormonal disturbances.

Participants for the control group (Group B) were selected as age and gender-matched healthy participants having no tobacco or any other related substance habit and were selected from those visiting the Institution for routine health checks. Participants were selected after clinical examination and obtaining information about tobacco habits through a self-reported questionnaire by the participants. Demographic details were entered in case history proforma, including tobacco and related substance habits, if any, along with the frequency of intake, duration, and quantity of tobacco substances. All study information was explained in detail to all participants, and written consent was obtained from each participant who volunteered to become a part of the study.

2.1 Saliva Collection and Processing of Samples

The screening was followed by instructions for saliva collection. To avoid diurnal variation, unstimulated saliva was preferably collected between 9 AM and 11 AM. All participants were informed to avoid eating or drinking for at least an hour just before saliva collection. Participants were seated comfortably in the dental chair and were instructed to rinse their mouths and asked to sit upright as per protocol for saliva collection. The unstimulated whole salivary samples were collected by the method suggested by Colin Dawes [13].

Participants were asked to collect saliva on the floor of the mouth by passive drool and were further spit into a graduated container. The saliva flow rate was assessed as a volume of saliva/sample collection with duration expressed as units of volume/time (mL/min). The saliva sample in the Eppendorf tube was kept in an ice pack box and was immediately transferred to the central biochemical laboratory for analysis of salivary parameters. As far as possible, freeze-thaw cycles were avoided. Salivary pH was noted down by using a digital pH meter. First, the pH meter was standardized. As per the protocol for pH determination, for pH calibration, the solutions used were pH 4, pH 7, and pH 10. The pH meter used was HANAA-pHep, (made in Italy) for assessing the total concentration of hydrogen ions. Analysis of unstimulated whole saliva samples was carried out in the Biochemistry section of the Central Laboratory of Dhiraj Hospital, Sumandeep Vidyapeeth University. Salivary protein, amylase, calcium, and phosphate levels were evaluated by using the autoanalyzer EM 360. (Automated Clinical Chemistry Analyzer - Transasia Bio-Medicals Ltd. Made in Mumbai, Maharashtra, India). For auto analysis, a minimum of 3 mL of saliva was collected. Samples were centrifuged for 10 minutes at 3000 rpm. Once supernatant saliva was procured, 200 µL of the saliva supernatant was placed in separate vials in auto-analyzer EM 360 for total salivary protein, amylase, calcium, phosphate, and IgA evaluation, respectively. Samples were placed in Erba 360 for analysis, followed by programmed order for a particular analysis.

2.2 Quantification of Total Salivary Proteins

Quantification of total salivary proteins was done as per the manufacturer’s instructions by the Biuret method end point of ERBA Mannheim. Peptide bonds of protein react with copper II ions in an alkaline solution to form a blue-violet complex (biuret reaction). Each copper ion complexes with 5–6 peptide bonds. Tartrate was added as a stabilizer, whilst iodide was used to prevent auto reduction of the alkaline copper complex. The color formed was proportional to the protein concentration and was measured at 546 nm (520–560 nm) [14].

2.3 α Amylase

α amylase in the saliva was determined by using an autoanalyzer, and the used reagents were 2-Chloro-4-nitrophenol-β-1-4 galactopyranosylmaltotrioside (CNP-G). Collected saliva was diluted to 1:100 and was added to the reagent (ready-to-use kit) and analyzed using an automatic analyzer [14]. Amylase catalyzed the hydrolysis of a 2-chloro-4 nitro phenol salt to chloro nitrophenol (CNP). The rate of its formation was measured at 405 nm and was proportional to α amylase activity (U/L).

2.4 Quantification of Calcium Concentration

Quantification of calcium concentration in saliva included the method of Arsenazo III [15]. Estimation of inorganic salivary calcium was done by using the Arsenazo reagent (Erba Mannheim Calcium Arsenazo III Lab Care Diagnostics). The reagent was ready for immediate use and was added to the saliva sample in the ratio of 1:100, incubated for 1 min, and absorbance was measured at a wavelength of 650 nm. Calcium reacts with Arsenazo III in a slightly alkaline medium to form a purple-colored complex that absorbs at 650 nm. Arsenazo has a strong affinity for calcium ions, and it is proportional to the concentration of calcium in the sample. A biochemical assay of saliva samples was carried out by using Erba 360 fully automated auto analyzer (Erba Diagnostic, Mannheim, Germany). Calcium concentration was displayed by the system and was noted in the proforma.

2.5 Inorganic Phosphate

Inorganic phosphate concentrations in saliva were determined by using ammonium molybdate reagent under acidic conditions, wherein inorganic phosphorous reacts to form a phosphomolybdate complex [16]. The absorbance of this complex at 340 nm is proportional to the phosphate concentration in saliva. Thus, total phosphorus concentration was displayed in the computerized system, and values were noted down.

2.6 Quantification of Salivary IgA

Quantification of Salivary IgA was done by (Santa Cruz Biotech- made in USA) ELISA Method [17]. The supernatant of centrifuged salivary samples was taken into the microtitre plate. Subsequently, a Primary antibody was poured onto the samples, followed by a secondary antibody. The degree of color production based on the quantity of IgA present in the sample was read by an ELISA reader, wavelength 570 nm. All steps were followed as per the manufacturer’s instructions, and readings were subsequently noted down. The results thus obtained were entered in a master chart and subjected to statistical analysis using SPSS Version 20.0 (SPSS Inc, IBM Corp., Chicago, IL, USA).

2.7 Statistical Analysis

On testing data, there was a normal distribution of data, and data analysis was performed using SPSS version 22.0 (IBM Corp. Armonk, NY, USA). The data were analyzed using descriptive statistics. Data are presented in tables as percentages. Statistical significance was determined at p < 0.05. Tests performed were the Chi-Square test, Independent t test, and One-way ANOVA.

3. Results

In the present study, a total of 270 participants satisfied the study selection criteria, and out of them, 63 (60.37%) participants were male, and the remaining 107 (39.63%) participants were female. In our study, we observed that the majority of our study population was young and in the second decade. The difference in the age group was not statistically significant. The mean age of the total 270 participants was 32.53 years, 32.03 years for males, and 33.29 years for female participants, and the difference was not statistically significant. In the habit group, the mean age of male participants was lesser (33.53 years) than those of female participants (35.8 years) (Table 1).

Table 1.Age and gender distribution.
Age group Habit group No habit group
Male Female Male Female
20–29 47 (44.76%) 06 (20%) 35 (60.34%) 36 (46.75%)
30–39 23 (21.90%) 14 (46.67%) 15 (25.86%) 17 (22.07%)
40–49 30 (28.57%) 10 (33.34%) 08 (13.79%) 22 (28.57%)
50 05 (4.7%) 00 (0%) 00 (0%) 02 (2.59%)

Among males and females in both groups, tobacco abuse was a commonly reported habit as compared to other habits. It was found in the present study that abuse of tobacco was significantly higher in the male population as compared to the female population; the p value is 0.001 (Table 2).

Table 2.Gender distribution as per type of tobacco habit.
Type of tobacco Male frequency % Female frequency % p-value
No Habit 58 (35.58%) 77 (71.96%) 0.001
Tobacco (padiki) 35 (21.47%) 17 (15.89%) 0.001
Gutka 43 (26.38%) 06 (5.61%) 0.001
Smoking 25 (15.34%) 01 (0.93%) 0.001
Betel Nut 02 (1.23%) 06 (5.60%) 0.001

Chi-Square test.

Among gender distribution for both the control group and study groups, there were participants in the control group, and the difference was statistically significant (p = 0.001), whereas in the study group, among male participants, gutka abuse was more, followed by tobacco and smoking habit. The lowest reported was betel nuts abuse by male participants in the study group.

Among female participants, tobacco abuse was followed by gutka and betel nuts, whereas smoking was reported by a single female participant among study groups.

The mean value of study parameters like salivary pH and Flow Rate, protein, amylase, calcium, phosphorus, and Immunoglobulin A (IgA) between tobacco abusers and non-users were compared (Table 3).

Table 3.Distribution of salivary parameters among the total population.
Investigation Tobacco user Tobacco non-user p-value
Mean SD Mean SD
pH 5.47 0.58 6.76 0.60 0.0001
Flow Rate (FR) 0.97 0.17 1.79 0.41 0.0001
Protein 1.59 0.88 0.98 0.48 0.0001
Amylase 801.46 545.64 600.02 388.92 0.0020
Calcium 12.37 2.79 12.55 2.23 0.2430
Phosphorus 38.39 34.35 23.46 6.33 0.0001
IgA (Immunoglobulin A) 38.93 12.60 51.90 12.50 0.0001

Independent t test.

The mean salivary pH in healthy participants was 6.76 ± 0.60, whereas in tobacco abusers, it was 5.47 ± 0.58, and the difference was highly significant (p value = 0.0001). The mean salivary flow rate was 1.79 ± 0.41 in the control group, whereas it was reduced significantly in tobacco abusers to 0.97 ± 0.17 (p = 0.0001)

The total salivary protein level was increased in tobacco abusers to 1.59 ± 0.88 as compared to healthy participants (0.98 ± 0.48) with a highly significant difference (p = 0.0001).

Similarly mean salivary amylase in tobacco abusers was significantly higher when compared to healthy participants (p value = 0.0020) and, mean salivary phosphates were significantly higher in tobacco abusers as compared to those of non-users (p value = 0.0001). Mean salivary IgA was higher in tobacco non-users as compared to those of tobacco abusers (p = 0.0001) and a significant mean difference was found in all salivary parameters except for Calcium (p = 0.2430) (Table 3).

Tobacco (padiki) was the most commonly consumed form of smokeless tobacco among the abusers studied, followed by gutka, smoking and betel nut habit and difference was statistically significant (p = 0.001) (Table 4).

Table 4.Distribution of varied forms of tobacco abuse.
Type of habit Total participants p value
No Habit 135 (50.00%) 0.001
Tobacco (padiki) 52 (19.25%)
Gutka 49 (18.18%)
Smoking 26 (9.61%)
Betel Nuts 8 (2.96%)
Total 270

Chi-square test.

Salivary flow rate, pH, phosphate, and IgA levels were statistically highly significant in tobacco abusers as compared to the tobacco non-user group (p = 0.001). However, for salivary protein, salivary amylase, and calcium, there was no difference observed in participants with the tobacco-padiki user and non-user group (Table 5).

Table 5.Salivary parameters concerning varying tobacco habits.
SFR pH Protein Amylase Calcium Phosphate IgA
Tobacco (Padiki)
Present 0.63 ± 0.08 5.26 ± 0.57 1.66 ± 1.02 1401 ± 417.92 13.27 ± 2.53 48.47 ± 24.94 31.47 ± 6.40
Absent 1.07 ± 0.50 6.08 ± 0.74 1.36 ± 0.57 1195.88 ± 404.38 13.04 ± 2.39 31.99 ± 34.54 52.59 ± 17.59
p-value 0.001 0.001 0.288 0.097 0.751 0.039 0.001
Gutka
Present 0.57 ± 0.06 5.38 ± 0.55 1.67 ± 0.88 1322.68 ± 507.58 12.83 ± 3.21 55.02 ± 59.74 32.16 ± 8.98
Absent 1.11 ± 0.49 6.09 ± 0.76 1.34 ± 0.58 1205.28 ± 382.24 13.15 ± 2.16 29.30 ± 19.37 53.59 ± 17.20
p-value 0.001 0.001 0.139 0.357 0.691 0.081 0.001
Smoking
Present 0.59 ± 0.06 5.44 ± 0.40 1.66 ± 0.64 1610.63 ± 684.25 12.31 ± 2.16 34.68 ± 21.50 34.63 ± 7.13
Absent 1.04 ± 0.49 5.99 ± 0.79 1.39 ± 0.67 1192.94 ± 360.43 13.16 ± 2.42 34.74 ± 34.63 50.48 ± 18.21
p-value 0.001 0.005 0.284 0.131 0.321 0.994 0.001
Betel Nut
Present 0.69 ± 0.01 5.03 ± 0.01 1.30 ± 0.04 1226 ± 175.36 9.96 ± 2.18 50.50 ± 38.89 36.001 ± 14.14
Absent 1.01 ± 0.49 5.96 ± 0.77 1.41 ± 0.67 1230.16 ± 415.79 13.15 ± 2.37 34.37 ± 33.63 49.36 ± 18.10
p-value 0.001 0.001 0.151 0.979 0.279 0.662 0.403

Independent t test, SFR, Salivary Flow Rate.

Salivary flow rate (SFR), pH, and IgA levels were statistically highly significant in gutka abusers when compared to the gutka non-user group (p = 0.001), whereas salivary protein, amylase, calcium, and phosphate were not significantly different in gutka users when compared to gutka non-user group.

SFR, pH, and IgA levels were statistically highly significant in smokers when compared to the non-smoker group of participants (p = 0.001), whereas salivary protein, amylase, calcium, and phosphate levels did not show any significant difference in the smoker and non-smoker group.

SFR and pH were statistically highly significant in betel nut abusers when compared to those of the betel nut non-user group (p = 0.001). Other salivary parameters such as salivary protein, amylase, calcium, phosphate, and Ig A were not significantly altered in the Betel nut users group when compared to the betel nut non-user group (Table 5).

All salivary parameters were significantly altered with statistically highly significant differences in tobacco abusers except for calcium when the frequency of habit was compared in tobacco abusers.

SFR and pH were increased in tobacco abusers when the frequency of substance abuse was increased, and the difference was highly significant (p = 0.001) (Table 6).

Table 6.Salivary parameters concerning the frequency of the habit.
Frequency of habit times/day Total number SFR SALIVARY FLOW RATE pH Protein Amylase Calcium Phosphate IgA
1–4 37 0.59 ± 0.07 5.31 ± 0.54 1.58 ± 0.84 1371.86 ± 561.20 12.31 ± 3.18 50.98 ± 27.24 32.07 ± 7.03
5–8 68 0.59 ± 0.06 5.31 ± 0.52 1.69 ± 0.89 1434.67 ± 480.68 12.93 ± 2.77 50.70 ± 54.02 34.54 ± 7.59
9–12 30 0.64 ± 0.10 5.45 ± 0.46 1.67 ± 0.81 1255 ± 505.94 13.16 ± 1.91 40.06 ± 21.15 27.43 ± 8.56
Abuse/no habit 135 1.40 ± 0.37 6.55 ± 0.45 1.17 ± 0.25 1072.96 ± 198.07 13.39 ± 1.97 20.34 ± 6.03 65.47 ± 7.01
p-value - 0.001 0.001 0.006 0.002 0.526 0.001 0.001

One-way ANOVA.

Salivary proteins were increased when the frequency of substance abuse was increased, and the difference was highly significant (p = 0.006). Salivary amylase was increased as the frequency of habit was increased, and the difference was highly significant (p = 0.002). Salivary Calcium levels were increased as the frequency of habit was increased, but the difference was not statistically significant. Salivary phosphates and salivary IgA levels were decreased as the frequency of habit was increased, and the difference was highly significant (p = 0.001).

Various salivary parameters were compared as per varying habit duration of tobacco abuse as 5 years, 6 to 10 years, 11 to 15 years, and 15 to 20 years. The mean salivary flow rate in tobacco abusers of 1 to 5 years duration was 0.58 ± 0.08, whereas 16 to 20 years was 0.64 ± 0.11, while in no habit group, it was 1.40 ± 0.37 and the difference was statistically highly significant (p = 0.001) (Table 7).

Table 7.Salivary parameters concerning the duration of the habit.
Duration of habit (years) Total number SFR SALIVARY FLOW RATE pH Protein Amylase Calcium Phosphate IgA
1–5 47 0.58 ± 0.08 5.26 ± 0.60 1.62 ± 0.54 1224 ± 328.54 12.40 ± 2.24 49.32 ± 27.12 31.08 ± 6.03
6–10 56 0.61 ± 0.07 5.25 ± 0.43 1.74 ± 0.81 1534.21 ± 675.72 11.78 ± 2.55 44.62 ± 18.99 35.64 ± 9.13
11–15 22 0.58 ± 0.06 5.37 ± 0.52 1.28 ± 0.69 1373.92 ± 474.51 13.18 ± 2.73 58.63 ± 75.31 33.17 ± 8.63
16–20 10 0.64 ± 0.11 5.27 ± 0.54 2.44 ± 1.52 1435.80 ± 433.88 14.70 ± 3.66 46.00 ± 18.77 28.60 ± 3.97
Abuse/no habit 135 1.40 ± 0.37 6.55 ± 0.45 1.17 ± 0.25 1072.96 ± 198.07 13.39 ± 1.97 20.34 ± 6.03 65.47 ± 7.01
p value - 0.001 0.001 0.001 0.00 0.050 0.001 0.001

One-way ANOVA.

The salivary pH in tobacco abusers of different duration of 5 years intervals was gradually reduced as the duration of habit increased and was significantly lower as compared to the healthy group (p = 0.001).

The total salivary proteins were found at higher levels in tobacco abusers as the duration of habit was increased to 16–20 years as compared to 1 to 5 years of tobacco abuse (1.62 ± 0.54) and was statistically significant when compared with the no habit group (p = 0.001).

Salivary amylase and calcium were increased as the duration of habit increased, and the difference was statistically significant.

Mean salivary phosphates were higher in the 11–15 years duration group, whereas mean salivary IgA was lower in the 16–20 years duration group, and the difference was statistically significant when compared with the no habit group.

4. Discussion

Saliva forms a thin film over oral mucosa and plays a multiplicity of roles in the protection of the oral cavity, assisting digestion through amylase, maintaining pH, and flow rate, influencing redistribution of ions between enamel remineralization and demineralization, leading to localized dissolution and destruction of calcified teeth, supporting tooth surface integrity. Through its constituents such as salivary proteins, electrolytes, and small molecules, it protects against abrasion, attrition, erosion, and dental caries, and further prevents injury to oral mucosa through its clearance properties and protecting against resistance to physical damage, antibacterial and anti-fungal effects. Smoking decreases the commensal population of normal oral normal and increases pathogenic microbes and microbial colonization by biofilm formation on oral epithelial cells [18]. There are few studies evaluating the role of tobacco and related substances exposure and oral health status, especially assessing salivary components.

Whole unstimulated saliva was collected in the present study as the basal salivary flow rate is reflected by unstimulated whole saliva, and the same is favored by most of the population studies [19, 20].

In our study, the salivary flow rate was considered for analysis as salivary buffering activity, and the clearance depends on the salivary flow rate. Salivary flow rate is altered in patients with increased caries activity, [21] various medical conditions (autoimmune diseases such as Sjogren’s syndrome) [22] and with an intake of medications (anti-hypertensive, antihistamines, and antidepressants) [23], also therapeutic radiation affects salivary flow rate.

In our study, the salivary flow rate in tobacco abusers was found as 0.8 to 1.14 mL/min. Whereas in healthy participants, it ranged from 1.38 to 2.2 mL/min. It was similar to the normal range documented as 5.5 to 7.9 for salivary pH and SFR in the range of 0.33–1.42 mL/min by Wu et al. [24]. The salivary flow rate varies as age and environmental factors vary. Evidence suggests SFR is increased in children, whereas in adults, it decreases due to the replacement of glandular components by fat and/or atrophy of salivary glands. Variation in the flow rate can also occur because of many cellular-origin proteins present in saliva. Decrease in SFR when compared to healthy participants may be due to tobacco abusers with a history of tobacco for a minimum of 5 years, and over a period of time, the sensitivity of receptors may be affected because many chemicals leach out in saliva during intake of tobacco, gutka, and related substances. Additionally, ingestion of tobacco substance in either form can lead to depressed salivary gland reflex or degeneration of glandular components and hence impaired salivary flow rate [25]. Another possibility is that alteration in the autonomic nervous system, by increasing plasma levels of epinephrine and norepinephrine, leads to a decrease in salivary flow rate [26]. Additionally, the heat generated by tobacco smoking affects the blood flow of the mouth over a period decreasing the blood supply and, in due course, reducing the SFR. SFR decreases with an increase in the frequency of smoking. Duration and frequency of smoking have an inverse effect on the resting salivary flow rate [27].

In our study, salivary pH in tobacco users was in the range of 4.89 to 6.05, whereas in healthy participants, it varied between 6.16 and 7.36. In the present study, we found lower levels of salivary pH and flow rate in tobacco abusers when compared to the control group. The mean salivary flow rate of healthy participants in our study was 1.79 mL/min, which was in contrast to the SFR reported by Rooban et al. [28] (3.5 mL/10min) and 3.66 mL/10min by Lalfamkima et al. [29] and Dawes et al. [19] reported with 0.3 to 0.4 mL/min.

Lalfamkima et al. [29] reported increased SFR among gutka chewers without oral submucous fibrosis when compared with oral submucous fibrosis, and this increased SFR in habit chewers may be due to the parasympathomimetic activity of arecoline. Tobacco can result in parasympathetic stimulation of post-ganglionic neurons in response to nicotine, similar to acetylcholine. The membrane of these neurons contains nicotine type of acetylcholine receptors and hence increased salivation during tobacco chewing, but in its absence, again, SFR can decrease.

Long-term effects of smokeless tobacco had decreased SFR, as reported by Kanwar et al. [30], whereas Rad et al. [31] reported that long-term smoking reduced SFR. Reduced pH and flow rate of saliva may lead to reduced functions of salivary protection in terms of clearing action and xerostomia, leading to caries susceptibility and halitosis; thus, tobacco abuse may lead to compromised oral health. Altered constituents of saliva in tobacco abusers indirectly lead to adverse effects on teeth and oral mucosa by altering the properties of saliva in terms of reduction of flow and pH and constituents alteration leading to aggregation of the microorganism of the oral cavity.

Hypo salivation criteria for whole stimulated saliva is <0.7 mL/min [32], whereas for whole unstimulated saliva is 0.12–0.16 mL/min [19], and unstimulated flow rates <0.1 mL/min or 0.30 mL/min [20]. We collected saliva by using the passive drool method and which was similar to Dawes method 11. Kanwar et al. [30] and Rooban et al. [28] reported with spitting method. Rudney et al. [33] found a negative correlation between unstimulated whole saliva, IgA, and total protein with SFR.

The pH of saliva altered in our study may be because of the high sugar present in the form of sweeteners in tobacco and related substances intake habits of participants and was following to study of Klein et al. [34], Schwartz et al. [35]. Salivary buffering capacity works in conjunction with phosphates and protein buffer systems [36]. The normal pH of saliva ranges from 6.2 to 7.6; this total hydrogen ion concentration of saliva is related to the constant salivary flow and buffering capacity of saliva [37]. The present study found lower salivary pH, salivary flow rate, calcium, and IgA in tobacco abusers as compared to those of non-users, whereas total salivary proteins, amylase, and phosphates were increased in tobacco abusers as compared to non-users. Reduction in salivary pH in tobacco abusers was in favor of the study reported by Kanwar et al. [30] and Khan et al. [38]. On the contrary, no difference in salivary pH was observed by Reddy et al. [39] between the tobacco chewers and non‑chewer, Grover N et al. [40] observed lower pH in tobacco chewers 6.5 ± 0.29, than smokers 6.75 ± 0.11 and control group 7.00 ± 0.28 which was consistent with the findings of our study. It was in favor of a study by Rooban et al. [28], who found that the mean pH turns acidic for those who chew raw areca nut, whereas it was 6.77 in non-chewers.

Lower pH in tobacco chewers observed in our study was in favor of the study by Venkatesan et al. [41], Omeroglu et al. [42], and Kumar et al. [43], and lower values of salivary pH were reported in traditional cigarette smokers and among e-cigarette users when compared to non-smokers by Cichonska et al. [37]. However, it was in contrast to a study by Nakonieczna et al. [44], who did not find any change in salivary pH in traditional cigarette smokers.

Saliva acts as a diluent for acid. Dawes [19], any alteration in ions and electrolytes can alter the pH due to their interaction with the buffering systems of saliva. This pH difference in tobacco abusers can be because of the various components of tobacco, lime, and ingredients of Gutka and other tobacco substances. Lime in betel quid can cause high alkaline content of saliva and alters the pH. Various chemicals leached out through chewing tobacco, as well as particulate smoke substances, can also affect salivary pH in tobacco abusers when compared to those of non-users. Moreover, the reduced flow rate observed in the tobacco abusers influences the pH of saliva, pH becomes highly acidic. Additionally, the pH of saliva is altered in tobacco abusers, depending upon the pH of smokeless tobacco and the proportion of free base form of nicotine available for absorption [45].

In our study, we found increased levels of salivary proteins in tobacco abusers when compared to those of the non-habit group. It was in favor of the study by Avsar et al. [46] on passive smokers. Poor oral health in the habit group may lead to microbial aggregation and hence increased salivary proteins. The role of salivary proteins and peptides is already predicted in monitoring diseases not only in the oral cavity but also in the whole body [47]. Several salivary proteins perform a defensive role and include mucins, proline-rich proteins, immunoglobulins, mucins, etc. [48]. Salivary proteins such as lactoferrin inhibits bacterial growth and biofilm formation by binding and chelating ions of iron [47, 48].

Few studies have reported both diminished [49, 50, 51] and increased total proteins [52] in caries active participants, whereas few other studies concluded with no consistent relationship between total salivary proteins and dental caries [53]. Salivary Proteins and peptides with effects on calcium phosphate chemistry have a role in regulating dental caries- and in maintaining the integrity of teeth [54, 55, 56].

Salivary alpha-amylase is of salivary origin, and it not only initiates the breakdown of carbohydrates present around the teeth but also has a digestive function [57]. It also binds with bacteria and hence affects tooth decay. Increased salivary amylase was in favor of Aysun et al. [46], whereas it was in contrast to Granger et al. [58], who reported lower salivary amylase activity when exposed to tobacco smoke and Goi et al. [59], Callegari and Lami [60] found decreased amylase levels in smokers when compared with non-smoker group. Reduced amylase secretions may lead to changes in salivary amylase levels. Salivary amylase not only has a role in metabolism and for colonization of streptococci, but it also acts as a receptor for aggregation and tooth surface adhesion of microorganisms [7]. Lindermeyer reported that nicotine promotes the growth of cariogenic Streptococcus mutans. Smoking leads to vitamin C deficiency and further affects salivary glands [61]. Increased amylase in response to tobacco smoke may occur as nicotine activates SNS [62, 63]. Whereas, Zappacosta et al. [64] reported decreased salivary alpha-amylase activity in healthy smokers when smoking a single cigar. Similarly, decreased amylase levels were seen by Nagler et al. [65] in vitro studies when whole human saliva was exposed to cigarette smoke, and he reported with 34% decrease in amylase activity after 3 hours of incubation with intermittent smoke exposure. Greabu et al. [66] documented an 85% decrease in amylase after 1 hour of incubation with cigarette smoke.

Thus, the noxious effects of tobacco smoke affect salivary amylase, specifically by aldehydes present in tobacco smoke react and modify sulphydryl groups of salivary enzymes [64, 67]. It was also in contrast to a study by Nagaya and Okuno [68] and Zuabi et al. [69] did not find a significant difference in salivary amylase and protein levels in the smoking and drinking habit of healthy male and female participants. Nater et al. [70] reported the diurnal activity of salivary alpha-amylase. The salivary alpha-amylase level is predominantly influenced by SNS activity in the cervical sympathetic pathway, and salivary alpha-amylase levels rise in response to stress [70, 71].

Salivary calcium in our study was not significantly different in tobacco users and non-users though it was slightly lower in tobacco abusers when compared to those non-users. Reduction in salivary calcium has been reported in smokers when compared to non-smokers by Tjahajawati [72], and it was found to be further decreased when the duration of smoking was longer. Lower calcium levels are also reported by Fattahi Bafghi et al. [73] and Zuabi et al. [69], who were in favor of our study whereas it was in contrast to Abed et al. [74], who reported an increase in salivary calcium of male smokers when compared to non-smokers. Khan et al. [75] and Arimilli et al. [76], and Varghese et al. [77] also reported higher levels of calcium in the saliva of long-term tobacco abusers and smokers when compared to non-users. They also found that an increased flow rate of saliva decreases salivary calcium levels.

Smoking leads to decreased calcium absorption and hence detrimental effects on many aspects of the body [78]. Additionally, nicotine reduces estrogen and parathyroid hormone levels and hence affects salivary calcium levels. Furthermore, in smokers, the Parathyroid does not work optimally, and hence lower calcium levels in saliva are seen [79, 80]. Tobacco smoke exposure results in inflammation of humoral immunological consequences of sensitization and altered local immunity in response to various toxic and metallic elements released from chewing tobacco as well as particulate smoke [81].

Increased serum phosphate levels were reported by Haglin et al. [82] in smokers when compared to non-smokers. Omar [83] reported that cigarette smoking leads to increased levels of calcium in smokers, whereas reduced phosphate levels were seen in cigarette smokers. Haglin et al. [84] found high serum calcium and low levels of phosphates in smokers when compared to the non-smokers’ group. They predicted high BMI and smoking to be associated with all causes of mortality in both males and females of the cardiovascular risk cohort group. IgA levels in tobacco abusers were decreased in our study when compared to those of non-users. It was in favor of Avşar et al. [46], who reported decreased salivary IgA levels in passive smokers when compared to the control group. A decrease in IgA levels can be indicative of a decrease in local immunity. A highly significant decrease in salivary IgA levels in smokers when compared to the control group was reported by Shilpashree et al. [85], Kadri et al. [86], Andersen et al. [87], Al-Ghamdi et al. [88], Barton et al. [89], Golpasand [90], Giuca, et al. [91], Bennet et al. [92], and Doni et al. [93].

Our finding was in contrast to Prajapati et al. [94], who found no change in IgA levels of smokers and gutka chewers as compared to controls. It was also in contrast to Tarbiah et al. [95] found smoking to be associated with increased IgA concentrations in both saliva and serum when compared to those of non-smokers. McMillan et al. [96] reported increased IgA in alcohol consumers as well as with increased age. Gonzalez-Quintela A et al. [97] also found increased IgA in males and were positively correlated with heavy alcohol intake and age. Along with Prajapati et al. [94] and Tarbiah et al. [95], Norhagen Engstrom et al. [98] reported an increase in IgA levels in smokers. Nakonieczna-Rudnicka M et al. [99] found significantly higher sIgA concentration in non-stimulated saliva when compared to stimulated saliva. No change of IgA in smokers and control group was reported by Calapai et al. [100], Mcmillan et al. [96], Gonzalez et al. [97], Lie et al. [101], Olayanju et al. [102], Nakonieczna-Rudnicka et al. [99], and Koss et al. [103]. In smokers, various studies have reported variations in the serum as well as saliva levels of IgA. There is no clear consensus on whether there is an increase or decrease or no effect of smoking on Salivary or serum IgA levels. Additionally, there is no exact reason reported for the same.

Tobacco and Cigarette smoke have numerous toxic constituents which can affect the immune system either by immunosuppression or can lead to an increased risk of infection [104]. Few studies [87, 88] suggest that cigarette smoking may be associated with the suppression of B-cell function and immunoglobulin production. Further smoking-associated functional antibody deficiency may compromise the body’s response to infection and result in a predisposition to the development of autoimmunity. Reduced phagocyte activity of neutrophils leading to increased susceptibility of smokers to infections reflects multifunctional alteration of their local and systemic inflammatory and adaptive immune responses [102, 105]. Immunoglobulins production and their levels in saliva can vary depending upon the need for its production, as well as the presence of bacteria and streptococci in the oral cavity. Increased IgA concentrations in high caries risk or with active caries when compared to caries-free patients were reported by Al Amoudi et al. [106], Bagherian et al. [107], and Yang et al. [108], whereas Doifode et al. [109], Pal et al. [110], and Kuriakose et al. [111] reported higher total IgA in patients with low caries.

Reduction in IgA found may be because smoking has a prolonged negative impact on both innate and adaptive immunity as well as on local and systemic host immune responses [112]. Mucosal immunity is reflected by salivary immunoglobulin A (IgA) levels and is also influenced by psychological stress. In tobacco users, the production of immunoglobulin may be suppressed may be due to unidentified chronic stress, and hence decreases IgA levels [113]. The meta-analysis by Wu et al. [114] on an association of dental caries and salivary IgA concentration found that salivary IgA levels in patients with dental caries were lower than those of the healthy control group and can be considered valuable biomarker to evaluate the clinical status of caries patients.

5. Conclusions

Tobacco and related substance addiction showed alteration of salivary parameters significantly when compared with those of tobacco non-user participants, affecting salivary pH, flow rate, and local immunity IgA, as well as calcium, phosphate, and amylase.

Tobacco addiction leads to a reduction of salivary pH, Salivary flow rate, and IgA when compared to the non-user group, whereas there was an increase in salivary amylase, phosphates, and salivary proteins. These salivary parameters were altered as per the increased duration and increased frequency of tobacco intake. So comprehensive evaluation will lead to assessing salivary biomarkers exactly in tobacco addiction as well as in dental caries. Additionally, unstimulated saliva is found to be simple, easily available, and noninvasive bio-fluid acts as a diagnostic marker.

Further studies to find out the exact correlation between dental caries, oral health status, and salivary parameters all together comprehensively can lead to the point of care service to participants regarding saliva as a diagnostic marker. Dentists need to be a part of the educational team for tobacco and related substance cessation program or educational counseling for quitting habits.

Limitations of the study

Saliva is noninvasive, easy to collect, has diagnostic value for biomarkers, and is not compulsory to have specially trained personnel, requiring minimal sample processing as per protocol.

Contrarily, apart from diagnostic value, saliva is a multi-constituent bio-fluid, and salivary diagnostic markers are present at very minute levels. Additionally, variation in diagnostic and analytical procedures gives a wide range of results for analyses. But we need to remember that overall health relies on a local, oral immune response being inherently varied in saliva than that observed in the blood. Additionally, changes in immune markers and various constituents in saliva may respond to extrinsic factors, such as exposure to environmental pollutants and antigens (e.g., tobacco smoke and pollen), and intrinsic factors related to oral health (e.g., dental caries and bacterial load). Hence further studies and standardization is required for the correct interpretation of salivary biomarkers for dental caries or tobacco addiction interpretation between and within-person differences of various salivary parameters.

Availability of Data and Materials

All data generated or analyzed during this study are included in this published article.

Author Contributions

Conceptualization, RahB, FMA, ATR and RasB; methodology, NAA, PT and RasB; software, RahB, NAA, FMA and VS; validation, PT, RasB, KJA and SB; formal analysis, VS, RasB, KFA and PT; investigation, RasB, VS, IFH, ATR and NAA; resources, RahB, PT and NAA; data curation, NAA, RahB, RR, SB and VS; writing—original draft preparation, SB, ATR, RahB, KJA, FMA and RasB; writing—review and editing, VS, NAA, KFA, IFH, RR, SB and PT; visualization, RahB, RasB, KJA, LT and SB; supervision, SB, LT and RasB; project administration, VS, KFA, IFH and PT; funding acquisition, SB, KJA and VS. All authors read and approved the final manuscript.

Ethics Approval and Consent to Participate

The study was approved by the Sumandeep Vidyapeeth Institutional Ethics Committee (protocol code 115002 and 31st Aug, 2015).

Acknowledgment

Not applicable.

Funding

This research received no external funding.

Conflict of Interest

Given Rodolfo Reda’s role as Guest Editor and Luca Testarelli’s role as Guest Editor and Editorial Board member of the journal, they had no involvement in the peer-review of this article and has no access to information regarding its peer-review. Full responsibility for the editorial process for this article was delegated to Ru Chen. The authors declare no conflict of interest.

References
[1]
Awan KH, Patil S. Association of Smokeless Tobacco with Oral Cancer - Evidence From the South Asian Studies: A Systematic Review. Journal of the College of Physicians and Surgeons–Pakistan: JCPSP. 2016; 26: 775–780.
[2]
Chhabra A, Hussain S, Rashid S. Recent trends of tobacco use in India. Journal of Public Health. 2021; 29: 27–36.
[3]
Mehta P, Bhavasar R, Ajith NA, Bhavsar RP, Bahammam MA, Bakri MMH, et al. Assessing the Effect of Curcumin on the Oral Mucosal Cytomorphometry and Candidal Species Specificity in Tobacco Users: A Pilot Study. Healthcare (Basel, Switzerland). 2022; 10: 1507.
[4]
Bhavsar R, Shah V, Ajith NA, Shah K, Al-Amoudi A, Bahammam HA, et al. Dental Caries and Oral Health Status of Psychoactive Substance Abusers. International Journal of Environmental Research and Public Health. 2022; 19: 5818.
[5]
Chiappin S, Antonelli G, Gatti R, De Palo EF. Saliva specimen: a new laboratory tool for diagnostic and basic investigation. Clinica Chimica Acta; International Journal of Clinical Chemistry. 2007; 383: 30–40.
[6]
Anderson P, Hector MP, Rampersad MA. Critical pH in resting and stimulated whole saliva in groups of children and adults. International Journal of Paediatric Dentistry. 2001; 11: 266–273.
[7]
Prabhakar AR, Shubha AB, Mahantesh T. Estimation of Calcium, Phosphate Alpha-Amylase concentrations in stimulated whole Saliva of children. with different caries status: A comparative study. Malaysian Dental Journal. 2008; 29: 6–13.
[8]
Nater UM, Rohleder N. Salivary alpha-amylase as a non-invasive biomarker for the sympathetic nervous system: current state of research. Psychoneuroendocrinology. 2009; 34: 486–496.
[9]
Rose PT, Gregory RL, Gfell LE, Hughes CV. IgA antibodies to Streptococcus mutans in caries-resistant and -susceptible children. Pediatric Dentistry. 1994; 16: 272–275.
[10]
Shifa S, Muthu MS, Amarlal D, Rathna Prabhu V. Quantitative assessment of IgA levels in the unstimulated whole saliva of caries-free and caries-active children. Journal of the Indian Society of Pedodontics and Preventive Dentistry. 2008; 26: 158–161.
[11]
Rooban T, Vidya K, Joshua E, Rao A, Ranganathan S, Rao UK, et al. Tooth decay in alcohol and tobacco abusers. Journal of Oral and Maxillofacial Pathology: JOMFP. 2011; 15: 14–21.
[12]
Al Kawas S, Rahim ZHA, Ferguson DB. Potential uses of human salivary protein and peptide analysis in the diagnosis of disease. Archives of Oral Biology. 2012; 57: 1–9.
[13]
Liu J, Zhu P, Song P, Xiong W, Chen H, Peng W, et al. Pretreatment of Adipose Derived Stem Cells with Curcumin Facilitates Myocardial Recovery via Antiapoptosis and Angiogenesis. Stem Cells International. 2015; 2015: 638153.
[14]
Ashok L, Sujatha GP, Hema G. Estimation of salivary amylase and total proteins in leukemia patients and its correlation with clinical feature and radiographic finding. Indian Journal of Dental Research: Official Publication of Indian Society for Dental Research. 2010; 21: 486–490.
[15]
Janssen JW, Helbing AR. Arsenazo III: an improvement of the routine calcium determination in serum. European Journal of Clinical Chemistry and Clinical Biochemistry: Journal of the Forum of European Clinical Chemistry Societies. 1991; 29: 197–201.
[16]
Tobey SL, Anslyn EV. Determination of inorganic phosphate in serum and saliva using a synthetic receptor. Organic Letters. 2003; 5: 2029–2031.
[17]
Mariscal G, Vera P, Platero JL, Bodí F, de la Rubia Ortí JE, Barrios C. Changes in different salivary biomarkers related to physiologic stress in elite handball players: the case of females. Scientific Reports. 2019; 9: 19554.
[18]
Kauss AR, Antunes M, Zanetti F, Hankins M, Hoeng J, Heremans A, et al. Influence of tobacco smoking on the development of halitosis. Toxicology Reports. 2022; 9: 316–322.
[19]
Dawes C. Salivary flow patterns and the health of hard and soft oral tissues. Journal of the American Dental Association (1939). 2008; 139 Suppl: 18S–24S.
[20]
Fenoll-Palomares C, Muñoz Montagud JV, Sanchiz V, Herreros B, Hernández V, Mínguez M, et al. Unstimulated salivary flow rate, pH and buffer capacity of saliva in healthy volunteers. Revista Espanola De Enfermedades Digestivas. 2004; 96: 773–783.
[21]
Leone CW, Oppenheim.FG. Physical & chemical aspects of. saliva as indicator of risk for dental caries in humans. Journal of Dental Education. 2001; 65: 1054–1062.
[22]
Mandel ID. The role of saliva in maintaining oral homeostasis. Journal of the American Dental Association (1939). 1989; 119: 298–304.
[23]
Mese H, Matsuo R. Salivary secretion, taste and hyposalivation. Journal of Oral Rehabilitation. 2007; 34: 711–723.
[24]
Wu KP, Ke JY, Chung CY, Chen CL, Hwang TL, Chou MY, et al. Relationship between unstimulated salivary flow rate and saliva composition of healthy children in Taiwan. Chang Gung Medical Journal. 2008; 31: 281–286.
[25]
Chiou SS, Kuo CD. Effect of chewing a single betel-quid on autonomic nervous modulation in healthy young adults. Journal of Psychopharmacology (Oxford, England). 2008; 22: 910–917.
[26]
Rani A, Panchaksharappa MG, Chandrashekarappa NM, Annigeri RG, Kanjani V. Characterization of saliva in immunocompromised patients and tobacco users: A case-control study. Indian Journal of Dental Research: Official Publication of Indian Society for Dental Research. 2019; 30: 909–914.
[27]
Bhargave AD, Prakash N, Agrawal A. Comparative Evaluation of Salivary Flow Rate in Smokers and Non Smokers: A Cross-sectional Study. Journal of Clinical & Diagnostic Research. 2022; 16: ZC41–ZC44.
[28]
Rooban T, Mishra G, Elizabeth J, Ranganathan K, Saraswathi TR. Effect of habitual arecanut chewing on resting whole mouth salivary flow rate and pH. Indian Journal of Medical Sciences. 2006; 60: 95–105.
[29]
Lalfamkima F, Bommaji S, Reddy K, Chalapathi K, Patil M, Patil T, et al. Comparative evaluation of alteration in salivary flow rate between betal Nut/Gutkha chewers with and without OSMF, and healthy subjects: A prospective case-control study. Oncology Journal of India. 2021; 5: 1.
[30]
Kanwar A, Sah K, Grover N, Chandra S, Singh RR. Long-term effect of tobacco on resting whole mouth salivary flow rate and pH: An institutional based comparative study. European Journal of General Dentistry. 2013; 2: 296–299.
[31]
Rad M, Kakoie S, Niliye Brojeni F, Pourdamghan N. Effect of Long-term Smoking on Whole-mouth Salivary Flow Rate and Oral Health. Journal of Dental Research, Dental Clinics, Dental Prospects. 2010; 4: 110–114.
[32]
Navazesh M, Christensen C, Brightman V. Clinical criteria for the diagnosis of salivary gland hypofunction. Journal of Dental Research. 1992; 71: 1363–1369.
[33]
Rudney JD, Kajander KC, Smith QT. Correlations between human salivary levels of lysozyme, lactoferrin, salivary peroxidase and secretory immunoglobulin A with different stimulatory states and over time. Archives of Oral Biology. 1985; 30: 765–771.
[34]
Klein LC, Bennett JM, Whetzel CA, Granger DA, Ritter FE. Caffeine and stress alter salivary alpha-amylase activity in young men. Human Psychopharmacology. 2010; 25: 359–367.
[35]
Schwartz EB, Granger DA, Susman EJ, Gunnar MR, Laird B. Assessing salivary cortisol in studies of child development. Child Development. 1998; 69: 1503–1513.
[36]
Lenander-Lumikari M, Loimaranta V. Saliva and dental caries. Advances in Dental Research. 2000; 14: 40–47.
[37]
Cichońska D, Kusiak A, Kochańska B, Ochocińska J, Świetlik D. Influence of Electronic Cigarettes on Selected Physicochemical Properties of Saliva. International Journal of Environmental Research and Public Health. 2022; 19: 3314.
[38]
Khan GJ, Javed M, Ishaq M. Effect of smoking on salivary flow rate. Gomal Journal of Medical Sciences. 2010; 8: 221–224.
[39]
Reddy MS, Naik SR, Bagga OP, Chuttani HK. Effect of chronic tobacco-betel-lime “quid” chewing on human salivary secretions. The American Journal of Clinical Nutrition. 1980; 33: 77–80.
[40]
Grover N, Sharma J, Sengupta S, Singh S, Singh N, Kaur H. Long-term effect of tobacco on unstimulated salivary pH. Journal of Oral and Maxillofacial Pathology: JOMFP. 2016; 20: 16–19.
[41]
Venkatesan M, Jose M, Prabhu S. Evaluation of Effect of Duration of Gutkha Chewing Habit on Different Salivary Parameters-A Cross Sectional Study. Oral & Maxillofacial Pathology Journal. 2021; 12: 52–55.
[42]
Ömeroğlu Şimşek G, Kılınç G, Ergan B, Kılınç O. Effects of Oral pH Changes on Smoking Desire. Balkan Medical Journal. 2021; 38: 165–170.
[43]
Kumar CN, Rao SM, Jethlia A, Linganna CS, Bhargava M, Palve DH. Assessment of salivary thiocyanate levels and pH in the saliva of smokers and nonsmokers with chronic periodontitis - A comparative study. Indian Journal of Dental Research: Official Publication of Indian Society for Dental Research. 2021; 32: 74–78.
[44]
Nakonieczna-Rudnicka M, Bachanek T, Rogowska W. Concentration of calcium ions in the saliva and the value of the pH of the saliva in female and male smokers. Przeglad Lekarski. 2009; 66: 652–654.
[45]
Wilhelm J, Mishina E, Viray L, Paredes A, Pickworth WB. The pH of Smokeless Tobacco Determines Nicotine Buccal Absorption: Results of a Randomized Crossover Trial. Clinical Pharmacology and Therapeutics. 2022; 111: 1066–1074.
[46]
Avşar A, Darka O, Bodrumlu EH, Bek Y. Evaluation of the relationship between passive smoking and salivary electrolytes, protein, secretory IgA, sialic acid and amylase in young children. Archives of Oral Biology. 2009; 54: 457–463.
[47]
Pol J, Buczkowska-Radlińska J, Bińczak-Kuleta A, Trusewicz M. Human salivary mucins–their role and meaning. Annales Academiae Medicae Stetinensis. 2007; 53: 87–91.
[48]
Tao R, Jurevic RJ, Coulton KK, Tsutsui MT, Roberts MC, Kimball JR, et al. Salivary antimicrobial peptide expression and dental caries experience in children. Antimicrobial Agents and Chemotherapy. 2005; 49: 3883–3888.
[49]
de Farias DG, Bezerra ACB. Salivary antibodies, amylase and protein from children with early childhood caries. Clinical Oral Investigations. 2003; 7: 154–157.
[50]
Bardow A, Hofer E, Nyvad B, ten Cate JM, Kirkeby S, Moe D, et al. Effect of saliva composition on experimental root caries. Caries Research. 2005; 39: 71–77.
[51]
Ryberg M, Möller C, Ericson T. Saliva composition and caries development in asthmatic patients treated with beta 2-adrenoceptor agonists: a 4-year follow-up study. Scandinavian Journal of Dental Research. 1991; 99: 212–218.
[52]
Preethi BP, Reshma D, Anand P. Evaluation of Flow Rate, pH, Buffering Capacity, Calcium, Total Proteins and Total Antioxidant Capacity Levels of Saliva in Caries Free and Caries Active Children: An In Vivo Study. Indian Journal of Clinical Biochemistry: IJCB. 2010; 25: 425–428.
[53]
Van Nieuw Amerongen A, Bolscher JGM, Veerman ECI. Salivary proteins: protective and diagnostic value in cariology? Caries Research. 2004; 38: 247–253.
[54]
Gregory RL, Gfell LE, Malmstrom HS. Differences in secretory IgA and serum antibodies to Streptococcus mutans isolates from caries-resistant and caries-susceptible subjects. Advances in Experimental Medicine and Biology. 1995; 371B: 1149–1152.
[55]
Dodds MWJ, Johnson DA, Yeh CK. Health benefits of saliva: a review. Journal of Dentistry. 2005; 33: 223–233.
[56]
Hay DI, Moreno EC. Statherin and the acidic proline-rich proteins. In Tenovuo J.O. (ed.) Human saliva: clinical chemistry and microbiology (pp. 131–150). 1st edn. CRC Press: Boca Raton, FL, USA. 2021.
[57]
Jacobsen N, Melvaer KL, Hensten-Pettersen A. Some properties of salivary amylase: a survey of the literature and some observations. Journal of Dental Research. 1972; 51: 381–388.
[58]
Granger DA, Blair C, Willoughby M, Kivlighan KT, Hibel LC, Fortunato CK, et al. Individual differences in salivary cortisol and alpha-amylase in mothers and their infants: relation to tobacco smoke exposure. Developmental Psychobiology. 2007; 49: 692–701.
[59]
Goi N, Hirai Y, Harada H, Ikari A, Ono T, Kinae N, et al. Comparison of peroxidase response to mental arithmetic stress in saliva of smokers and non-smokers. The Journal of Toxicological Sciences. 2007; 32: 121–127.
[60]
Callegari C, Lami F. Cigarette smoking and salivary amylase activity. Gut. 1984; 25: 909.
[61]
Lindemeyer RG, Baum RH, Hsu SC, Going RE. In vitro effect of tobacco on the growth of oral cariogenic streptococci. Journal of the American Dental Association (1939). 1981; 103: 719–722.
[62]
Rohleder N, Nater UM. Determinants of salivary alpha-amylase in humans and methodological considerations. Psychoneuroendocrinology. 2009; 34: 469–485.
[63]
Shinozaki N, Yuasa T, Takata S. Cigarette smoking augments sympathetic nerve activity in patients with coronary heart disease. International Heart Journal. 2008; 49: 261–272.
[64]
Zappacosta B, Persichilli S, Mordente A, Minucci A, Lazzaro D, Meucci E, et al. Inhibition of salivary enzymes by cigarette smoke and the protective role of glutathione. Human & Experimental Toxicology. 2002; 21: 7–11.
[65]
Nagler R, Lischinsky S, Diamond E, Drigues N, Klein I, Reznick AZ. Effect of cigarette smoke on salivary proteins and enzyme activities. Archives of Biochemistry and Biophysics. 2000; 379: 229–236.
[66]
Greabu M, Battino M, Totan A, Mohora M, Mitrea N, Totan C, et al. Effect of gas phase and particulate phase of cigarette smoke on salivary antioxidants. What can be the role of vitamin C and pyridoxine? Pharmacological Reports: PR. 2007; 59: 613–618.
[67]
Leuchtenberger C, Leuchtenberger R, Zbinden I. Gas vapour phase constituents and SH reactivity of cigarette smoke influence lung cultures. Nature. 1974; 247: 565–567.
[68]
Nagaya T, Okuno M. No effects of smoking or drinking habits on salivary amylase. Toxicology Letters. 1993; 66: 257–261.
[69]
Zuabi O, Machtei EE, Ben-Aryeh H, Ardekian L, Peled M, Laufer D. The effect of smoking and periodontal treatment on salivary composition in patients with established periodontitis. Journal of Periodontology. 1999; 70: 1240–1246.
[70]
Nater UM, Rohleder N, Schlotz W, Ehlert U, Kirschbaum C. Determinants of the diurnal course of salivary alpha-amylase. Psychoneuroendocrinology. 2007; 32: 392–401.
[71]
Bosch JA, de Geus EJC, Veerman ECI, Hoogstraten J, Nieuw Amerongen AV. Innate secretory immunity in response to laboratory stressors that evoke distinct patterns of cardiac autonomic activity. Psychosomatic Medicine. 2003; 65: 245–258.
[72]
Tjahajawati S, Rafisa A, Lestari EA. The Effect of Smoking on Salivary Calcium Levels, Calcium Intake, and Bleeding on Probing in Female. International Journal of Dentistry. 2021; 2021: 2221112.
[73]
Fattahi Bafghi A, Goljanian Tabrizi A, Bakhshayi P. The Effect of Smoking on Mineral and Protein Compositionof Saliva. Iranian Journal of Otorhinolaryngology. 2015; 27: 301–305.
[74]
Abed HH, Al-Fatah JA, Mohana MH, Husseen AAWA. Evaluation of calcium concentration in saliva of Iraqi male smokers. Al Mustansiriyah Journal of Pharmaceutical Sciences. 2012; 11: 18–24.
[75]
Khan GJ, Mehmood R, Salah-ud-Din, Marwat FM, Ihtesham-ul-Haq, Jamil-ur-Rehman. Secretion of calcium in the saliva of long-term tobacco users. Journal of Ayub Medical College, Abbottabad: JAMC. 2005; 17: 60–62.
[76]
Arimilli S, Makena P, Prasad GL. Combustible Cigarette and Smokeless Tobacco Product Preparations Differentially Regulate Intracellular Calcium Mobilization in HL60 Cells. Inflammation. 2019; 42: 1641–1651.
[77]
Varghese M, Hegde S, Kashyap R, Maiya AK. Quantitative Assessment of Calcium Profile in Whole Saliva From Smokers and Non-Smokers with Chronic Generalized Periodontitis. Journal of Clinical and Diagnostic Research: JCDR. 2015; 9: ZC54–ZC57.
[78]
Breitling LP. Smoking as an effect modifier of the association of calcium intake with bone mineral density. The Journal of Clinical Endocrinology and Metabolism. 2015; 100: 626–635.
[79]
Singh R, Pallagatti S, Sheikh S, Singh B, Arora G, Aggarwal A. Correlation of serum oestrogen with salivary calcium in post-menopausal women with and without oral dryness feeling. Gerodontology. 2012; 29: 125–129.
[80]
Välimaa H, Savolainen S, Soukka T, Silvoniemi P, Mäkelä S, Kujari H, et al. Estrogen receptor-beta is the predominant estrogen receptor subtype in human oral epithelium and salivary glands. The Journal of Endocrinology. 2004; 180: 55–62.
[81]
Pappas RS. Toxic elements in tobacco and in cigarette smoke: inflammation and sensitization. Metallomics: Integrated Biometal Science. 2011; 3: 1181–1198.
[82]
Håglin LM, Törnkvist B, Bäckman LO. High serum phosphate and triglyceride levels in smoking women and men with CVD risk and type 2 diabetes. Diabetology & Metabolic Syndrome. 2014; 6: 39.
[83]
Hussein SEO. Effect of cigarettes smoking on the serum levels of calcium and phosphate in Sudanese males in Khartoum. International Journal of Research. 2015; 4: 1–9.
[84]
Håglin L, Törnkvist B, Bäckman L. Obesity, smoking habits, and serum phosphate levels predicts mortality after life-style intervention. PLoS ONE. 2020; 15: e0227692.
[85]
Shilpashree HS, Sarapur S. Evaluation of salivary immunoglobulin A levels in tobacco smokers and patients with recurrent aphthous ulcers. Journal of Natural Science, Biology, and Medicine. 2012; 3: 177–181.
[86]
Kadri ZHM, Alabassi HM, Taher AJ. Saliva of Tobacco Smokers a Profile of C3, IgA, Amylase and Total Protein. Prof.(Dr) RK Sharma. 2021; 21: 1093.
[87]
Andersen P, Pedersen OF, Bach B, Bonde GJ. Serum antibodies and immunoglobulins in smokers and nonsmokers. Clinical and Experimental Immunology. 1982; 47: 467–473.
[88]
Al-Ghamdi HS, Anil S. Serum antibody levels in smoker and non-smoker saudi subjects with chronic periodontitis. Journal of Periodontology. 2007; 78: 1043–1050.
[89]
Barton JR, Riad MA, Gaze MN, Maran AG, Ferguson A. Mucosal immunodeficiency in smokers, and in patients with epithelial head and neck tumours. Gut. 1990; 31: 378–382.
[90]
Golpasand Hagh L, Zakavi F, Ansarifar S, Ghasemzadeh O, Solgi G. Association of dental caries and salivary sIgA with tobacco smoking. Australian Dental Journal. 2013; 58: 219–223.
[91]
Giuca MR, Pasini M, Tecco S, Giuca G, Marzo G. Levels of salivary immunoglobulins and periodontal evaluation in smoking patients. BMC Immunology. 2014; 15: 5.
[92]
Bennet KR, Reade PC. Salivary immunoglobulin A levels in normal subjects, tobacco smokers, and patients with minor aphthous ulceration. Oral Surgery, Oral Medicine, and Oral Pathology. 1982; 53: 461–465.
[93]
Doni BR, Patil S, Peerapur BV, Kadaganchi H, Bhat KG. Estimation and comparison of salivary immunoglobulin A levels in tobacco chewers, tobacco smokers and normal subjects. Oral Health and Dental Management. 2013; 12: 105–111.
[94]
Prajapati KJ, Chawda JG. Estimation of major immunoglobulins in smokers and gutkha chewers. Journal of Oral and Maxillofacial Pathology: JOMFP. 2016; 20: 219–223.
[95]
Tarbiah N, Todd I, Tighe PJ, Fairclough LC. Cigarette smoking differentially affects immunoglobulin class levels in serum and saliva: An investigation and review. Basic & Clinical Pharmacology & Toxicology. 2019; 125: 474–483.
[96]
McMillan SA, Douglas JP, Archbold GP, McCrum EE, Evans AE. Effect of low to moderate levels of smoking and alcohol consumption on serum immunoglobulin concentrations. Journal of Clinical Pathology. 1997; 50: 819–822.
[97]
Gonzalez-Quintela A, Alende R, Gude F, Campos J, Rey J, Meijide LM, et al. Serum levels of immunoglobulins (IgG, IgA, IgM) in a general adult population and their relationship with alcohol consumption, smoking and common metabolic abnormalities. Clinical and Experimental Immunology. 2008; 151: 42–50.
[98]
Norhagen Engström G, Engström PE. Effects of tobacco smoking on salivary immunoglobulin levels in immunodeficiency. European Journal of Oral Sciences. 1998; 106: 986–991.
[99]
Nakonieczna-Rudnicka M, Bachanek T, Piekarczyk W, Kobyłecka E. Secretory immunoglobulin A concentration in non-stimulated and stimulated saliva in relation to the status of smoking. Przeglad Lekarski. 2016; 73: 704–707.
[100]
Calapai G, Caputi AP, Mannucci C, Gregg EO, Pieratti A, Aurora Russo G, et al. A cross-sectional investigation of biomarkers of risk after a decade of smoking. Inhalation Toxicology. 2009; 21: 1138–1143.
[101]
Lie MA, Myint MM, Schenck K, Timmerman MF, van der Velden U, van der Weijden GA, et al. Parotid salivary S-IgA antibodies during experimental gingivitis in smokers and non-smokers. Journal of Periodontal Research. 2002; 37: 86–92.
[102]
Olayanju OA, Rahamon SK, Joseph IO, Arinola OG. Salivary immunoglobulin classes in Nigerian smokers with periodontitis. World Journal of Biological Chemistry. 2012; 3: 180–183.
[103]
Koss MA, Castro CE, Gramajo AM, López ME. sIgA, peroxidase and collagenase in saliva of smokers aggressive periodontal patients. Journal of Oral Biology and Craniofacial Research. 2016; 6: S24–S28.
[104]
Qiu F, Liang CL, Liu H, Zeng YQ, Hou S, Huang S, et al. Impacts of cigarette smoking on immune responsiveness: Up and down or upside down? Oncotarget. 2017; 8: 268–284.
[105]
Ebersole JL, Steffen MJ, Thomas MV, Al-Sabbagh M. Smoking-related cotinine levels and host responses in chronic periodontitis. Journal of Periodontal Research. 2014; 49: 642–651.
[106]
Al Amoudi N, Al Shukairy H, Hanno A. A comparative study of the secretory IgA immunoglobulins (s.IgA) in mothers and children with SECC versus a caries free group children and their mothers. The Journal of Clinical Pediatric Dentistry. 2007; 32: 53–56.
[107]
Bagherian A, Jafarzadeh A, Rezaeian M, Ahmadi S, Rezaity MT. Comparison of the salivary immunoglobulin concentration levels between children with early childhood caries and caries-free children. Iranian Journal of Immunology: IJI. 2008; 5: 217–221.
[108]
Yang Y, Li Y, Lin Y, Du M, Zhang P, Fan M. Comparison of immunological and microbiological characteristics in children and the elderly with or without dental caries. European Journal of Oral Sciences. 2015; 123: 80–87.
[109]
Doifode D, Damle SG. Comparison of salivary IgA levels in caries free and caries active children. International Journal of Clinical Dental Science. 2011; 2: 10–14.
[110]
Pal S, Mitra M, Mishra J, Saha S, Bhattacharya B. Correlation of total salivary secretory immunoglobulin A (SIgA) and mutans specific SIgA in children having different caries status. Journal of the Indian Society of Pedodontics and Preventive Dentistry. 2013; 31: 270–274.
[111]
Kuriakose S, Sundaresan C, Mathai V, Khosla E, Gaffoor FMA. A comparative study of salivary buffering capacity, flow rate, resting pH, and salivary Immunoglobulin A in children with rampant caries and caries-resistant children. Journal of the Indian Society of Pedodontics and Preventive Dentistry. 2013; 31: 69–73.
[112]
Abdelazim A, Hussine A, Shaker O, Ahmed E. Impact of smoking on Gingival Crevicular Fluid and Salivary Periostin levels in Periodontitis Patients following Non-surgical periodontal therapy. Egyptian Dental Journal. 2022; 68: 2443–2456.
[113]
Nijakowski K, Gruszczyński D, Łaganowski K, Furmańczak J, Brożek A, Nowicki M, et al. Salivary Morning Cortisol as a Potential Predictor for High Academic Stress Level in Dental Students: A Preliminary Study. International Journal of Environmental Research and Public Health. 2022; 19: 3132.
[114]
Wu Z, Gong Y, Wang C, Lin J, Zhao J. Association between salivary s-IgA concentration and dental caries: A systematic review and meta-analysis. Bioscience Reports. 2020; 40: BSR20203208.

Publisher’s Note: IMR Press stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share
Back to top