Comparison of TNF-α and IL-1β Concentrations in Gingival Crevicular Fluid During Early Alignment Stage of Orthodontic Treatment in Adults and Adolescents

Abstract

Objective:

To compare the levels of TNF-α and IL-1β in the gingival crevicular fluid (GCF) during early leveling stage of orthodontic treatment.

Material and Methods:

This study was carried out on 20 orthodontic patients, including 10 teenagers and 10 adults. Before bonding, GCF was collected with a paper strip in gingival sulcus of maxillary right central incisor on the disto labial aspect for 60 seconds, followed by bonding and insertion of initial 14 NiTi archwire. GCF collection was repeated 24 hours, 7 days, and 28 days after bonding. Measurement of TNF-α and IL-1β levels was done utilizing Enzyme-Linked Immunosorbent Assay (ELISA). Data were analyzed in SPSS using repeated measurement test.

Results:

Concentration of TNF-α and IL-1β increased after treatment. There was no significant relationship between TNF-α and IL-1β concentrations subsequent to bonding in comparison to the baseline. There was no significant relationship in TNF-α and IL-1β level changes in the two age groups and between males and females.

Conclusion:

Concentration of TNF-α and IL-1β increased after treatment. Age and sex had no statically significant effect on the concentration of TNF-α and IL-1β.

Keywords:
Orthodontics; Tooth Movement Techniques; Cytokines; Gingival Crevicular Fluid

Introduction

It is widely accepted that the application of force to the teeth and its adjacent structures induces changes in the gingiva, periodontium, cementum, and alveolar bone, as well as cellular population and remodeling capacity. Tooth movement is a complex process requiring modification of the gingiva, PDL, tooth cementum, and alveolar bone ^[1].

During orthodontic treatment, early periodontal tissue responses to mechanical stress include different metabolic changes that provide for tooth movement. Successful orthodontic movement of the teeth requires periodontium remodeling, especially of the alveolar bone. When little force is applied for a long period, inflammatory responses initiate that result in bone resorption and tooth movement ^[2]. Mechanical stress caused by orthodontic appliances stimulates the cells in the periodontium to produce bioactive substances such as cytokines and enzymes responsible for the remodeling of connective tissues and osteoclast activation. These substances can be evaluated non-invasively by keeping track of the changes that occur in the gingival crevicular fluid (GCF) in tooth movement ^[3]. Bone remodeling during tooth movement is a biological process that involves the chronic inflammatory response of the periodontal tissue ^[4]. Orthodontic tooth movement entails a number of inflammation-like reactions, including excessive vascular activity, increased leukocyte and macrophage count, as well as, immune system involvement. Cytokines such as IL, RANKL, and TNFs and, also, interferons and growth factors play a significant role in regulating the turnover in connective tissues and bone remodeling during tooth movement.

Cytokines are referred to as proteins produced by certain cells (mainly active lymphocytes and macrophages) to regulate the function of other cells ^[5]. In the pathology of periodontal diseases, these proteins have a role in bone destruction and bone response to orthodontic treatment, and their main involvement is in bone remodeling.

Cytokines are associated with alveolar bone and periodontal cell activity since early tooth movement requires inflammatory reactions related to leukocyte migration ^[3,5,6]. They also play a part in the migration of monocytes to PDL, where they are transformed into osteoclasts and macrophages and are vital to orthodontic movement ^[6,7].

The fact is that IL-1, IL-6, and TNF-α are pre-inflammatory cytokines involved in bone remodeling, bone resorption, and new bone deposition ^[8]. IL-1 and TNF are the two main cytokines and inflammatory mediums, primarily produced and activated by macrophages, and largely involved in inflammation, the effects on the endothelium, leukocytes, and fibroblasts, and also, the induction of systemic chronic-phase reactions ^[5].

It has been shown that the orthodontic forces cause a rapid release of TNF-α, IL-1β, and IL-8 in the process of tooth movement, the increase of which is clearly visible in GCF ^[9]. In an other study carried out on 18 orthodontic patients of 16 to 19 years of age, the authors discovered that increases in TNF-α and IL-1β in periodontal tissues resulting from leveling and distalization techniques during orthodontic treatment can also be distinguished in GCF ^[10]. Meantime, it was still observed an increase in SP and IL-1β levels during tooth movement in adults, with a possible role in triggering periodontal inflammation in response to mechanical stress ^[11]. On the other hand, previous authors reported an increase in IL-1β and IL-8 after orthodontic appliance and expressed it as a possible biological activity of the periodontium during tooth movement ^[12].

Although orthodontic treatment in adults is fundamentally similar to adolescents in terms of goals, stages and tissue changes relating to tooth movement, there are certain biological differences - such as the adult bone being less responsive to mechanical forces, higher risk of attachment loss and marginal bone resorption, as well as a slower tissue remodeling - that result in the slower rate of tooth movement and an elongated period of treatment in adults. At the same time, tooth movement occurs later in adults when compared to adolescents ^[13].

The aim of this study was to compare the Levels of TNF-α and IL-1β in gingival crevicular fluid (GCF) during early treatment alignment of adult and adolescent orthodontic patients in the orthodontics Department of Dental School Kerman, Iran.

Material and Methods

Study Design and Sample

This descriptive-analytical study was carried out on 20 orthodontic patients referring to specialized orthodontic centers in the City of Kerman. Cases included 10 teenage patients 12- to 19 years and 10 adult patients 20-33 years old.

Inclusion criteria were as follows: satisfactory general health, absence of antibiotic consumption in the 6 months leading to the time of study, absence of anti-inflammatory medication in the month leading to the time of study, absence of periodontal disease (probe depth of ≤ 3 mm with no attachment loss, and radiographic indications of bone resorption), Class 1 malocclusion, incisor irregularity index of 3-6 mm, possessing permanent dentition and absence of teeth removal in the treatment plan.

Data Collection

Patients were selected and briefed about the objectives of the study before obtaining their consent. Data related to age and sex were recorded in a checklist. Plaque removal and brushing were applied to all patients one week before bonding and patients were advised about oral health tips. Before applying orthodontic treatment, tooth surface was dried with compressed air and isolated employing cotton roll. GCF was collected prior to further examination. Paper strip (Periopaper, Medical Electronic Devices Inc., Tustin, CA, USA) was placed for 60 seconds inside the gingival sulcus, 1-2 mm beneath the gingival margin of maxillary central incisor on the disto labial aspect, followed by bonding with bracket system MBT 0.022 slot and insertion of initial 14 NiTi archwire (Ortho Technology Inc., Tampa, FL, USA). Patients were resummoned 24 hours, 7 days, and 28 days after the onset of treatment and GCF samples were recollected in the manner described above ^[3,10,11]. Strips contaminated with blood and/or saliva were excluded from the study. Paper strips were, then, placed in a sterile tube and despatched to the Lab, where they were stored at -20°C till the day of study. For all patients, GCF was collected in the afternoons between 4:00-5:00 p.m. Enzyme-Linked Immunosorbent Assay (ELISA) was used to measure TNF-α and IL-1. UK Abcam^® ab46052 and ab46088 (Abcam plc, Cambridge, UK) were used to measure IL-1 and for TNF-α, respectively. Samples were prepared as instructed in the company manual. Concentration levels of prepared samples were compared to TNF-α and IL-1 standards. The concentration of biomarkers (pg/mL) was measured with model ELx 808 microplate reader (BioTek Instruments Inc., Winooski, VT, USA).

Data Analysis

Collected data was registered in checklist and fed to a computer for further analysis utilizing SPSS, version 20 (IBM SPSS Inc., Chicago, IL, USA). Advanced Statistical Software, using repeated measurement test at a significance level of 0.05.

Ethical Aspects

This research was approved with the Code of K/93/07 by the Ethics Committee of Kerman University of Medical Sciences. The participants were assured that their name would not be mentioned in any part of the research and that the participation in the project is entirely voluntary and with full consent. Patients under 18 years of age were required to submit a parental letter of consent before their participation.

Results

Ten individual participants (50%) were under 19 and 10 others (50%) were above 19 years of age with a minimum and maximum age of 12 and 33, respectively, and a median age of 19.11 ± 6.33. Thirteen of the cases (65%) were female and 7 (35%) were male participants.

The results show an increase in IL-1 concentration in different post-treatment time intervals as compared to baseline. At the same time, TNF-α mean concentration level increases over all post-treatment time intervals, reaching a peak value within a week. Altogether, there is no significant statistical difference between baseline and post-treatment TNF-α and IL-1 concentrations (Table 1).

Table 1
Correlation between concentration of IL1-β and TNFα at baseline and treatment interval.

Variables	Treatment Time	Mean	SD	p-value
IL1-β	Baseline	14.17	6.48	0.32
	1 Day After Treatment	17.63	9.01
	1 Week After Treatment	15.13	10.40
	4 Weeks After Treatment	18.14	9.30
TNF α	Baseline	38.84	4.51	0.38
	1 Day After Treatment	38.92	2.66
	1 Week After Treatment	42.28	10.09
	4 Weeks After Treatment	39.63	5.91

Table 2 illustrates the mean concentration of IL-1β (pg/mL) for gender and age groups. No meaningful difference was observed for different age groups and genders in terms of IL-1β concentration levels across different post-treatment time intervals.

Table 2
Correlation between IL1-β concentration with gender and age.

	Treatment Time
Gender	Baseline	1 Day	1 Week	4 Weeks	p-value
	Mean (SD)	Mean (SD)	Mean (SD)	Mean (SD)
Male
<19 years old	14.21 ± 7.67	19.27 ± 8.04	10.29 ± 3.95	18.76 ± 15.73	>0.05
≥19 years old	7.21 ± 1.88	8.94 ± 2.75	11.47 ± 5.57	19.37 ± 3.46	>0.05
Total	12.46 ± 6.65	15.25 ± 8.85	10.69 ± 3.93	18.97 ± 12.28
Female
<19 years old	13.31 ± 5.48	18.29 ± 10.90	20.95 ± 16.70	15.37 ± 9.46	>0.05
≥19 years old	16.39 ± 7.41	19.12 ± 8.40	13.94 ± 4.88	19.80 ± 6.89	>0.05
Total	14.97 ± 6.52	18.74 ± 9.22	17.18 ± 11.98	17.76 ± 8.15

Mean TNF-α for age groups and genders is shown in Table 3. Again, no meaningful difference is observed for different age groups and genders in terms of TNF-α concentration level across different post-treatment time intervals.

Table 3
Mean of TNF-α concentration based on participants' gender and age.

	Treatment Time
Gender	Baseline	1 Day	1 Week	4 Weeks	p-value
	Mean (SD)	Mean (SD)	Mean (SD)	Mean (SD)
Male
<19 years old	37.55 ± 4.57	39.23 ± 2.14	51.44 ± 19.53	36.06 ± 3.03	>0.05
≥19 years old	39.81 ± 1.20	42.25 ± 8.71	41.64 ± 2.18	34.77 ± 1.44	>0.05
Total	39.12 ± 5.79	39.43 ± 1.76	48.17 ± 15.98	35.63 ± 2.52
Female
<19 years old	38.93 ± 3.08	40.52 ± 4.67	38.44 ± 4.20	41.61 ± 4.03	>0.05
≥19 years old	37.17 ± 2.96	38.48 ± 3.20	40.52 ± 4.98	41.37 ± 7.91	>0.05
Total	38.69 ± 4.04	38.72 ± 3.02	39.56 ± 4.57	41.48 ± 6.17

Biomarker β IL-1 and TNF-α concentrations for two both gender groups over different time intervals are compared in Table 4. No meaningful difference exists between the two groups prior to treatment and during treatment.

Table 4
Differences between TNF-α and IL-1β in genders and treatments interval.

	Treatment Time
Gender	Baseline	1 Day	1 Week	4 Weeks	p-value
	Mean (SD)	Mean (SD)	Mean (SD)	Mean (SD)
Male
<19 years old	15.25 ± 8.85	12.46 ± 6.65	10.69 ± 3.93	18.97 ± 12.28	0.34
≥19 years old	18.74 ± 9.22	14.97 ± 6.52	17.18 ± 11.98	17.76 ± 8.15
Female
<19 years old	39.12 ± 5.79	39.43 ± 1.76	48.17 ± 15.98	35.63 ± 2.52	0.72
≥19 years old	37.72 ± 4.04	38.69 ± v	39.56 ± 4.57	41.48 ± 6.17

Discussion

Orthodontic tooth movement is an inflammatory process associated with periodontal and oral tissue mechanical responses that are vital for tooth movement under clinical conditions. The initial effects of orthodontic forces are physical and biological in nature ^[14]. In this study, gingival crevicular fluid (GCF) is used to measure TNF-α and IL-1 concentrations. Similar studies have proved GCF to be an efficient and non-invasive factor for such measurements ^[12,15-17].

Gingival crevicular fluid exudate is an exclusive tool for studying mediators. With an acceptable level of sensitivity and the capability to be repeated in different phases of orthodontic treatment, it can take the course of the supervision stage ^[18].

In the present study, the mean concentration of IL-1β in different time intervals of treatment increased as compared to baseline. The result closely matches that obtained by other authors, where a post-treatment IL-1β concentration increase was reported ^[10]. In the study carried out by Italian researchers, IL-1β concentration in the area of applied force shows an increase during tooth movement ^[19]. Some researchers showed that levels of IL-1β increased in the root resorption area in tooth movements of treated rats ^[20]

IL-1β is a strong cytokine of the periodontal environment in the course of tooth movement ^[21]. By comparing IL-1, IL-4, and IL-8 concentration in the GCF of children and adolescents with and without fixed orthodontic treatment, it has been shown that fixed orthodontic appliances cause an increase in the aforementioned cytokines ^[12].

The present research shows no meaningful statistical difference in the mean IL-1 concentration value at baseline as compared to that in the different time intervals, similar to that previously demonstrated (10,21). Meantime, some authors studied IL-1 concentration in GCF in 1, 4, 8, 24, 72, 120, and 168-hour post-treatment time intervals and demonstrated how it reaches its maximum value at the 24-hour time interval, as similarly observed in the current research ^[11]. In the present investigation, there is an increase in the TNF-α concentration at every post-treatment time interval vs. baseline. Despite of not being statistically meaningful, the increase corresponds to the findings observed previously ^[10,22]. Additionally, the authors found no significant increase in IL-1 and TNF-α concentrations at different time intervals of the fixed orthodontic post-treatment period ^[10,22]. According to the previous results, IL-1 and TNF-α concentrations reach a maximum value in the initial 24-hour time interval ^[23]. Other authors also report a similar increase in TNF-α in the initial 24-hour time interval vs. baseline ^[24,25]. It was also revealed that concentration of TNF-α in force area was higher than the control side ^[26]. TNF-α is expressed in the force-applied area of the tooth and has a significant role in mechanical tooth movement ^[27]. Orthodontic tooth movement increases TNF-α in the area surrounding the periodontal tissue ^[26].

It has been shown that a tooth-movement induced an increase in the population of TNF-α positive cells in the 1, 4, 7, and 10 days intervals for two varying treatment models ^[28]. In this study, no meaningful statistical difference was observed in the TNF-α and IL-1 concentrations of under 19 vs. plus 19 age groups at any given time interval, and these results are similar to those reported by other authors ^[3]. At the same time, an increase in GM-CSF and IL-6 has been reported only in the adolescent group ^[29].

The absence of a meaningful statistical difference in the 2 age groups studied in this research may be due to the mean age of the individuals concerned. In other words, the results may vary with a rise in the population of young adults. An equal force was applied to the teeth during treatment to prevent the force factor from causing changes in cytokine concentrations at different post-treatment intervals. It was shown that the IL-1 concentration to increases in the initial 24-hour interval and returns to a stable state in groups receiving continuous and continual force ^[21]. Meantime, some authors report no increase in TNF-α and IL-1 cytokines resulting from larger forces ^[30].

No meaningful statistical difference was observed, in the present study, between gender and mean concentration of different biomarkers involved. In most similar studies, the effect of gender on TNF-α and IL-1 values has not been considered. A previous study showed that gender has no role in increasing enzymatic activity ^[31].

A finding that corresponds to the present study, where no meaningful statistical difference is reported between gender and TNF-α and IL-1 mean concentration. One of the limitations of the present study was low sample size. It was due to the uniformity of orthodontic treatment.

Conclusion

According to the findings of this study, TNF-α and IL-1 in the gingival crevicular fluid increase by fixed orthodontic treatment compared to the period prior to treatment. No meaningful statistical difference was observed in TNF-α and IL-1 concentrations at varying post-treatment intervals vs. the pre-treatment period for different adult and adolescent age groups. It is recommended that studies focus on individuals with a higher age average and different treatments.

• Financial Support
  None.

Acknowledgments

The authors hereby would like to thank and appreciate all the patients who participated in this research and the Deputy of Research and Technology at the Kerman University of Medical Sciences to approve the project.

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Edited by

Academic Editors: Alessandro Leite Cavalcanti and Wilton Wilney Nascimento Padilha

Publication Dates

• Publication in this collection
  20 July 2020
• Date of issue
  2020

History

• Received
  04 Feb 2020
• Accepted
  30 Apr 2020
• Published
  20 May 2020