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Relationship of Oral Bacterial Load Over One Year of Smoking Cessation
J Dent Hyg Sci 2019;19:213-9
Published online December 31, 2019;
© 2019 Korean Society of Dental Hygiene Science.

Sunghyun Kim1 , Min-Seock Seo2 , and Soo-Jeong Hwang3,†

1Department of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252,
2Department of Conservative Dentistry, Wonkwang University Daejeon Dental Hospital, Daejeon 35233,
3Department of Dental Hygiene, College of Medical Science, Konyang University, Daejeon 35365, Korea
Correspondence to: Soo-Jeong Hwang,
Department of Dental Hygiene, College of Medical Science, Konyang University, 158 Gwanjeodong-ro, Seo-gu, Daejeon 35365, Korea
Tel: +82-42-600-8444, Fax: +82-42-600-8408, E-mail:
Received August 26, 2019; Revised September 19, 2019; Accepted October 1, 2019.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Smoking exerts an adverse effect on the periodontal tissue by reorganizing the ecosystem of oral microorganisms and is considered to be an important factor in the development of periodontal disease. Although cross-sectional studies on smokers and non-smokers have been attempted to investigate the microbial differences in periodontal oral cavity, only few studies have been conducted to investigate the changes in oral microorganisms during smoking cessation. The purpose of this study was to investigate the changes of bacteria in saliva and gingival crevicular fluid (GCF) over a period of one year among 11 smokers trying to quit smoking.


Eleven smokers trying to quit smoking visited the clinic at baseline, two weeks, two months, four months, six months, and 12 months to give saliva and GCF samples. The amounts of 16S rRNA, Porphyromonas gingivalis, Treponema denticola, Prevotella intermedia, Fusobacterium nucleatum subsp. nucleatum, Streptococcus mutans, and Streptococcus sobrinus in saliva and GCF were quantified using real-time polymerase chain reaction TaqMan probe assay. The results were analyzed by nonparametric statistical analysis using Friedman test and Spearman correlation coefficient.


After cessation of smoking, the amounts of 16S rRNA corresponding to P. gingivalis, F. nucleatum, P. intermedia, and T. denticola in saliva decreased and then again increased significantly. The amount of F. nucleatum 16S rRNA in GCF decreased significantly after smoking cessation. Positive correlations were observed between 16S rRNA and F. nucleatum and between F. nucleatum and T. denticola in saliva and GCF.


Even if the number of subjects in this study was small, we suggest that smoking cessation may reduce the total bacterial amount and F. nucleatum in GCF. However, the results regarding changes in the microbial ecosystem due to smoking or smoking cessation were inconsistent. Therefore, further in-depth studies need to be carried out.

Keywords : Bacteria, Periodontal disease, Smoking, Smoking cessation

Smoking has an adverse effect on the periodontal tissue and is considered to be an important factor in the progression of periodontal disease. Previous studies have demonstrated the clinical impact of smoking, reporting that scaling and root planing were less effective in smokers than in non-smokers1), and that periodontal treatment combined with smoking cessation resulted in greater reduction in average periodontal pocket depth2). When the amounts of matrix metalloproteinase 9 in gingival crevicular fluid (GCF) were measured in the smoking, non-smoking, and smoking cessation groups, significant differences between the groups were found after adjusting for age and gingival index3), with the smoking group showing higher concentration of enzymes that destroy periodontal tissues.

In addition, other studies have reported that smoking reorganizes the ecosystem of oral microorganisms. Smoking was reported to stimulate formation of diverse and relatively unstable biofilms at gingival margins and subgingival spaces4), while it was also reported that smokers are more susceptible to Porphyromonas gingivalis infection. In addition, smoking alters the expression of surface components of P. gingivalis to ultimately cause damage to immunoglobulins5). Shah et al.6) reported that smoking increases pro-inflammatory and oxidative stress response to virulence-enhanced commensal biofilms.

Assessing oral microorganisms or the health status of periodontal tissues in smokers and non-smokers through a cross-sectional study is less difficult than a longitudinal study. However, the follow-up survey study with smoking cessation as an intervening factor showed a low 12-month success rate in smoking cessation (2.5∼16.9%)7), and thus, it was not easy to measure any changes. Although there was a study that regularly monitored patients undergone periodontal treatment to investigate the effects of periodontal treatment and smoking cessation8), there are limited studies that exclusively investigated changes in periodontal tissues during smoking cessation. The purpose of the present study was to observe and analyze changes in oral bacterial load during the smoking cessation process, without involvement of periodontal treatment, in 11 subjects who successfully quit smoking. These subjects were followed up for 12 months in public health center smoking cessation clinics.

Materials and Methods

1. Study subjects and collection of GCF and saliva

The study was performed on a population of 122 men who had signed a written consent to participate in the study and enrolled in public health center smoking cessation clinics. The exclusion criteria of the present study consisted of the following: those with uncontrolled systemic disease; those taking steroids or anti-inflammatory drugs during the study period or within three months prior to participating in the study; those using an oral rinse product during the study period or within three months prior to participating in the study; those receiving dental treatment during the study period; those with ≤20 teeth, excluding the third molars; and those with any area of periodontal pocket ≥5.5 mm. The subjects were instructed to visit the public health center at baseline, two weeks, and two, four, six, and 12 months. Due to a very high drop-out rate, only 26 subjects visited the public health center smoking cessation clinics at all time points. Among them, 15 subjects were unable to quit smoking and only 11 subjects successfully quit smoking for 12 months9). The success of smoking cessation was determined by verbal reports and using a carbon monoxide meter.

Each time a subject visited the health center, 2 to 4 ml of unstimulated saliva sample was collected, while GCF was collected after removing biofilm and drying. Paper points were used 25 times for 1 minute absorption by intracrevicular “superficial” method from five interdental spots in maxillary anterior teeth and five interdental spots in mandibular anterior teeth. The samples were frozen immediately after collection at the health center and kept at –20°C until the experiment was performed.

2. Measurement of some oral bacterial load real-time polymerase chain reaction TaqMan probe assay

Amounts of certain bacteria in saliva and GCF from mandibular anterior region were analyzed using real-time polymerase chain reaction (qPCR) TaqMan probe assay. Bacteria were received from the Korean Collection for Type Cultures (KCTC) and the following were selected: P. gingivalis (KCTC 5352, ATCC 33277), Treponema denticola (KCTC 15104, ATCC 35405), Prevotella intermedia (KCTC 5692, KCOM 1107), Fusobacterium nucleatum subsp. nucleatum (KCTC 2640, ACTC25586), Streptococcus mutans (KCTC 3065, ACTC 25175), and Streptococcus sobrinus (KCTC 3308, ACTC 27607). Molecular biological quantitative bacterial load test was performed at the Department of Clinical Laboratory Science, Catholic University of Pusan, with the primers and TaqMan probe sets prepared as suggested in the previous studies10-12).

3. Statistics

The cycle threshold (Ct) values of real-time PCR were used in the analysis without converting them to bacterial count. This was based on the assumption that analysis using Ct values would be appropriate since specific bacteria may not be detected in some samples, and thus, the final variable was presented as Ct value in the table. Moreover, since the number of subjects was low (n=11) and did not show normal distribution, parametric statistics could have been problematic, and thus, non-parametric statistics were used. For statistical analysis of changes in bacteria at each time point, the Friedman test was used, while the Spearman’s correlation analysis was used for analyzing the correlation between variables. The statistical program IBM SPSS 20.0 (IBM Corp., Armonk, NY, USA) was used and the significance level was set to 0.05.


As shown in Table 1, with respect to the bacteria in saliva, the mean Ct value of 16S rRNA, which reflected the total bacterial count, decreased up to two months; increased at four months; and decreased again at six and 12 months. Therefore, the total bacterial count showed a pattern of increasing first, and then decreasing, and the differences between time point were significant. The Ct values of P. gingivalis, F. nucleatum, P. intermedia, and T. denticola also showed a pattern of decreasing at two weeks and two months, as compared to the baseline; increasing at four months; and then decreasing again at six and 12 months. The results were similar to that of 16S rRNA and the differences between time point were significant. Meanwhile, S. mutans and S. sobrinus did not show significant differences with respect to time.

Change of Cycle Threshold Values in Real-Time Polymerase Chain Reaction on Each Bacteria in the Saliva of 11 Stop-Smokers

BacteriaBaseline2 weeks2 months4 months6 months12 monthsp-value
16S rRNA19.26±2.69 (14.3~21.6)18.24±3.26 (11.7~22.6)17.69±2.03 (14.1~20.6)21.22±2.52 (16.9~25.4)16.00±2.86 (12.9~22.4)17.91±3.17 (14.5~24.5)0.001
Porphyromonas gingivalis35.56±5.43 (25.3~40.0)30.91±5.67 (23.0~40.0)32.25±6.56 (21.3~40.0)36.28±4.96 (28.5~40.0)31.88±7.01 (21.8~40.0)31.78±6.01 (24.4~40.0)0.031
Fusobacterium nucleatum27.05±2.53 (21.8~30.7)24.48±3.73 (19.3~31.9)24.91±3.24 (18.5~30.6)28.32±4.74 (22.2~40.0)23.18±2.75 (18.4~26.6)22.77±1.25 (21.3~25.3)0.001
Prevotella intermedia34.91±4.97 (28.8~40.0)33.36±7.38 (21.5~40.0)33.28±5.79 (25.80~40.0)34.20±5.12 (27.7~40.0)29.87±7.39 (20.1~40.0)30.83±7.05 (20.9~40.0)0.002
Streptococcus mutans33.51±6.90 (20.8~40.0)33.87±7.22 (23.1~40.0)30.99±8.04 (19.3~40.0)36.05±6.73 (21.8~40.0)34.29±6.88 (22.6~44.0)35.21±5.68 (27.2~40.0)0.148
Treponema denticola31.00±4.86 (25.8~40.0)29.27±6.10 (20.9~40.0)30.70±6.30 (23.7~40.0)31.67±4.80 (25.1~40.0)27.24±5.27 (20.4~40.0)27.15±4.78 (23.4~40.0)<0.001
Streptococcus sobrinus39.04±3.20 (29.4~40.0)38.61±4.61 (24.7~40.0)37.64±7.84 (14.0~40.0)37.93±4.61 (28.5~40.0)38.66±4.43 (25.3~40.0)38.98±3.38 (28.8~40.0)0.493

Values are presented as mean±standard deviation (minimum~maximum).

The total bacterial count in GCF was lower than in saliva. As shown in Table 2, the Ct values of 16S rRNA in GCF showed an increasing pattern, as compared to the baseline, indicating a decrease in bacterial count and showing significant differences with respect to time. In GCF, the Ct values of F. nucleatum showed significant differences with respect to time. The Ct value after four months was higher than the Ct value after 2 months, indicating that the amount of F. nucleatum decreased after four months. Other bacteria did not show significant changes and S. sobrinus was detected in none of the GCF samples.

Change of Cycle Threshold Values in Real-Time Polymerase Chain Reaction on Each Bacteria in the Gingival Crevicular Fluid of 11 Stop-Smokers

BacteriaBaseline2 weeks2 months4 months6 months12 monthsp-value
16S rRNA24.72±2.66 (19.8~28.8)25.36±2.12 (21.9~30.2)25.19±2.15 (22.8~29.8)27.14±3.07 (22.6~31.3)28.35±1.76 (24.4~31.1)28.09±2.18 (24.7~30.8)0.001
Porphyromonas gingivalis38.11±3.29 (32.3~40.0)40.00±0.00 (40.0)39.14±2.86 (30.5~40.0)38.26±3.01 (32.9~40.0)39.45±1.84 (33.9~40.0)38.47±2.63 (33.8~40.0)0.358
Fusobacterium nucleatum26.89±7.16 (21.0~40.0)26.35±5.47 (19.6~40.0)25.93±5.18 (21.8~40.0)32.72±7.22 (22.5~40.0)34.64±6.49 (25.6~40.0)32.10±7.02 (22.10~40.0)<0.001
Prevotella intermedia35.46±5.44 (26.6~40.0)36.84±4.49 (29.0~40.0)35.33±4.52 (30.4~40.0)39.08±3.05 (29.9~40.0)38.98±3.38 (28.8~40.0)38.55±3.24 (31.7~40.0)0.090
Streptococcus mutans38.83±2.62 (33.1~40.0)39.28±2.38 (32.1~40.0)39.14±2.86 (30.5~40.0)39.54±1.54 (34.9~40.0)39.27±2.41 (32.0~40.0)40.00±0.00 (40.0)0.681
Treponema denticola34.20±4.94 (27.6~40.0)36.93±4.40 (29.3~40.0)34.96±4.19 (28.7~40.0)37.43±4.52 (28.7~40.0)38.94±3.53 (28.3~40.0)37.82±3.74 (31.7~40.0)0.077

Values are presented as mean±standard deviation (minimum~maximum).

Table 3 shows the results of correlation analysis of Ct values for each bacterium by time points (results that were not significant are not shown in the table). The correlation coefficients of bacteria at each time point did not show a consistent tendency, with 16S rRNA in saliva samples showing positive correlations with different bacteria at different time points. F. nucleatum and P. gingivalis in saliva samples showed distinctly positive correlations, except at 12 months. F. nucleatum and T. denticola in saliva samples showed distinctly or strongly positive correlations at all time points. T. denticola and P. gingivalis in saliva samples showed distinctly positive correlations up to four months. T. denticola in saliva samples showed significantly positive correlations with P. intermedia at all time points, except at six months. Meanwhile, 16S rRNA in GCF samples showed strongly or distinctly positive correlations with F. nucleatum. Red complex bacteria13) in GCF samples showed correlations at some time points, but the degree of correlation was lower than that of saliva samples. F. nucleatum and T. denticola in saliva samples showed the strongest correlations.

Significant Spearmann Coefficients among Cycle Threshold Values of Oral Bacteria in Saliva and Gingival Crevicular Fluid

 BacteriaBaseline2 weeks2 months4 months6 months12 months
16S rRNA vs. FB0.6100.8090.733
16S rRNA vs. PG0.740
16S rRNA vs. TD0.6510.729
16S rRNA vs. SM0.800
16S rRNA vs. PI0.616
FB vs. PG0.6760.7400.7440.6830.767
FB vs. TD0.6790.9090.6970.6830.6100.681
FB vs. PI0.7630.834
PG vs. TD0.7720.6810.7090.687
PG vs. PI0.840
TD vs. PI0.8240.8340.6340.9190.726
16S rRNA_g vs. FB_g0.9590.8380.7280.6770.8190.825
16S rRNA_g vs. TD_g0.8890.6810.755
FB_g vs. PG_g0.788
FB_g vs. TD_g0.8790.7510.7880.757
PG_g vs. TD_g0.956
PG_g vs. PI_g0.669
TD_g vs. PI_g0.7880.857

FB: Fusobacterium nucleatum, PG: Porphyromonas gingivalis, TD: Treponema denticola. SM: Streptococcus mutans, PI: Prevotella intermedia, _g: in gingival crevicular fluid.


Although previous studies demonstrated that there are differences in the composition of oral bacteria between smokers and non-smokers, the results were not consistent, and in particular, Prevotella intermedia showed conflicting results with positive correlation with smoking in some cases and negative correlation in others. In a previous study by van Winkelhoff et al.1), six different bacterial strains were analyzed in the periodontal pockets of untreated smokers, untreated non-smokers, treated smokers, and treated non-smokers. The results showed that prevalence of Prevotella intermedia/nigrescens was high in untreated smokers, while average values of Peptostreptococcus micros and Fusobacterium nucleatum were high. Shiloah et al.14) reported that between smokers and non-smokers with no clinical differences, smokers had 18-fold higher likelihood of pathogen colonization and that expression of pathogenic bacteria was proportional to the amount and duration of smoking, even without periodontitis. According to a study on Korean subjects15), Fusobacterium, Fretibacterium, Streptococcus, Veillonella, and Corynebacterium were abundant in smokers, whereas levels of Prevotella, Campylobacter, and Aggregatibacter were low in smokers.

Although the studies on changes in bacterial flora due to smoking have yielded inconsistent results, research on the causes underlying these changes has continued. Wu et al.16) reported that there are differences in the composition of oral microorganisms between current smokers and former smokers, and that metagenome analysis showed that carbohydrate energy metabolism and xenobiotic metabolism are associated with bacterial changes. Shah et al.6) reported that exposure to smoking drastically lowered the essential metabolic functions in symbiotic biofilms, whereas it significantly increased the expression of virulent genes, especially those involved in lipopolysaccharide, flagellum, and capsule synthesis.

This study was also conducted with the expectation that the composition of oral bacteria would change in smokers as they go through the process of smoking cessation. Since there was no intervention in the general lifestyle and oral health behaviors of 11 former smokers, these factors are assumed to have been maintained constantly and smoking cessation acted as the intervening factor in this study. Total bacterial count in saliva tended to increase up to two months after smoking cessation; decreased at four months; and increased again from six months onwards. Therefore, a consistent tendency could not be obtained (Table 1), but total bacterial count in GCF continued to decrease according to the duration of smoking cessation (Table 2). These findings were consistent with the results of another study reporting that non-smokers have lower bacterial count14). However, other studies have reported that non-smokers have higher bacterial count in saliva17). Considering that periodontitis starts from the gum ridge, changes of bacteria in GCF would be expected to have a greater effect than changes of bacteria in saliva, and thus, decrease of bacterial count in GCF due to smoking cessation is believed to have a positive effect on periodontal tissues.

P. intermedia and T. denticola in saliva showed an increasing pattern at six months after smoking cessation. Kubota et al.18) reported that P. intermedia and T. denticola are significantly associated with periodontal pocket depth and that smoking and P. intermedia are significantly associated with each other. However, the present study showed contradictory results. Meanwhile, a study by Moon et al.15) also reported that the genus Prevotella was less abundant in smokers. Thus, additional studies may be needed to confirm this finding. F. nucleatum in GCF showed decrease starting from four months and the changes were significant. A study by Moon et al.15) also found greater amount of F. nucleatum in smokers than non-smokers, while the study by Kumar et al.4) reported that Fusobacterium is present in the biofilm of smokers, thereby showing initial inflammatory response. Delima et al.19) reported that after 12 months of smoking cessation and non-surgical periodontal treatment, subgingival microbiome showed increase in non-pathogenic species and decrease in putative periodontal pathogens. The findings of the present study also supported these results. However, there are conflicting results, where Shakhatreh et al.20) reported that level of F. nucleatum in gingival sulcus was lower in smokers.

The present study had a small sample size and could not find consistent tendencies in the compositions of bacteria in saliva and GCF. However, the positive correlations between F. nucleatum and 16S rRNA in both saliva and GCF and between F. nucleatum and T. denticola in both saliva and GCF were maintained. Moreover, the results also showed decrease in F. nucleatum in GCF following smoking cessation. Therefore, smoking cessation can reduce total bacterial count in GCF and F. nucleatum, and thus, can have a positive effect on periodontal tissues. Since decrease in F. nucleatum can lead to decrease in T. denticola, which showed a positive correlation, it is suggested that red complex oral bacteria that cause periodontitis could be reduced as well following smoking cessation. However, additional studies may be needed on the changing trends of bacteria in saliva and GCF based on smoking.


Conflict of interest

No potential conflict of interest relevant to this article was reported.

Ethical approval

This study was approved by the Institutional Review Board of Konyang University Hospital (approval no. KYUH 09-25).


This research was supported by Women Scientists Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2009-0069179).

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