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Erschienen in: European Journal of Medical Research 1/2023

Open Access 01.12.2023 | Research

The indicative role of inflammatory index in the progression of periodontal attachment loss

verfasst von: Wenhao Zhang, Yulong Zhang, Cong Jin, Ruihan Fang, Ruixue Hua, Xiaodong Zang, Hengguo Zhang

Erschienen in: European Journal of Medical Research | Ausgabe 1/2023

Abstract

Objective

To explore the forewarning immunological indicators during periodontal attachment loss progression in American adults.

Methods

A total of 5744 participants with periodontal attachment loss were enrolled from the National Health and Nutrition Examination Surveys (NHANES) 2009–2014. In which, dependent variable was the counts of teeth with severe attachment loss (depth of periodontal probing was above 5 mm). Independent variables were circulatory immunological indexes, including counts of white blood cells (WBC), Lymphocytes, Monocytes, Neutrophils, Eosinophils, and Basophils. The association among variables was examined using multivariable linear regression models, fitting with smoothing curves, and generalizing additive models.

Results

Based on the indicators of 5744 subjects, we found that severe attachment loss tended to occur in the elderly or males and was accompanied by higher WBC, Monocytes, and Neutrophils, as well as lower poverty-income ratio and educational qualification. WBC (above the inflection point: 6200 cells/µL) and Neutrophils (above the inflection point: 3300 cells/µL) counts were positively associated with attachment loss progression in each multivariable linear regression model. On subgroup analyses, stratified by sex and race, the positive correlation of WBC or Neutrophils with severe attachment loss was stable in both men and women, as well as in all races except blacks (WBC β = − 0.0576, 95% CI − 0.1945 to 0.0793, Neutrophils β = − 0.0527, 95% CI − 0.2285 to 0.1231).

Conclusion

Increasing WBC (above 6200 cells/µL) and Neutrophils (above 3300 cells/µL) counts were risk indicators of severe periodontal attachment loss among all races, except in blacks.
Hinweise
Wenhao Zhang, Yulong Zhang and Cong Jin are contributed equally to this study.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Introduction

With a prevalence of 47% in the American population over 30 years old [1, 2], periodontitis impaired the aesthetic and oral function [3, 4], mainly manifested as attachment loss and alveolar bone resorption [57]. Current studies focused on the correlated inflammation or immunity factors of severe periodontitis [8], but the in-depth monitoring of immunological indicators during attachment loss progression remains unknown.
On accounts of the abundant systemic circulation of the maxillofacial region, periodontitis causes or exacerbates comorbidities and resulting changes in circulating immune indicators (including white blood cells, Neutrophils, etc.) [7, 9, 10]. Previous studies showed that severe periodontitis was accompanied by changes in the levels of inflammatory indicators [11, 12], for example, patients with periodontitis are often accompanied by an increase in mean platelet volume and a decrease in eosinophilic counts. Meanwhile, circulatory immune indexes were widely utilized as forewarning or diagnostic criteria of infectious diseases. For instance, white blood cell (WBC) counts were generally expected to be closely associated with a respiratory infection, which diagnoses pneumonia, determines its etiology, and predict disease progression [13, 14]. To forewarn the occurrence and progression of severe periodontitis, it is necessary to explore the potential relationship between circulatory immunological indexes and periodontal attachment loss progression.
In this study, we aimed to explore the association between severe attachment loss progression and circulatory immunological indicators by multivariable linear regression based on the NHANES database. Severe periodontal attachment loss tended to occur in males and was accompanied by higher WBC, Monocytes, and Neutrophils. Furthermore, WBC, Monocytes, and Neutrophils counts were closely associated with periodontal attachment loss. This study sought to shed light on the correlation between the progression of severe periodontitis and immune-related indicators.

Methods

Study population

Data of the current study were abstracted from the National Health and Nutrition Examination Survey (NHANES). In total, 14,071 participants were enrolled from NHANES between 2009 to 2014. After excluding participants (n = 2336) with incomplete records of periodontal examination, 11,735 participants were available. Further, excluding participants who had the attachment loss < 5 mm or > 2 mm (n = 5771), and with missing data of the immune cell examination (n = 222), 5744 participants were finally enrolled in the study. The study was approved by the review board of the National Center for Health Statistics.

Dependent variable

Periodontal attachment loss was identified by dental examiners, who were dentists (D.D.S./D.M.D.) licensed in at least one U.S. state. All oral health assessments occurred in a designated room at the mobile examination center (MEC). In this experiment, attachment loss ≥ 5 mm was defined as severe attachment loss [15]. In addition, dependent variable was counts of teeth with severe attachment loss.

Independent variables and covariates

Circulatory immunological indexes (including white blood cells, Lymphocytes, Monocytes, Neutrophils, Eosinophils, and Basophils) were obtained from laboratory data. For covariates, including age, gender, education level (< 9th grade, 9–11th grade, high school, college, etc.), race/ethnicity (Mexican American, Hispanic, non-Hispanic White, non-Hispanic Black, and other races), PIR (poverty income ratio), Body Mass Index (BMI). Circulatory immunological indexes and other covariates acquisition processes are available on the NHANES dataset (http://​cdc.​gov/​nchs/​nhanes).

Statistical analysis

All statistical analyses were performed by using R (http://​www.​R-project.​org), with statistical significance set at P < 0.05. All estimates were calculated by using sample weights following the analytical guideline edited by NCHS. Three multivariable linear regression models were constructed by hierarchical multiple regression to test the significance of variables: model 1, no covariates were adjusted; model 2, age, gender, and race were adjusted; model 3, all covariates presented in Table 1 were adjusted. Furthermore, smooth curve fittings and generalized additive models were used to address the nonlinearity. The inflection points were calculated using a recursive algorithm, with a two-piecewise linear regression model conducted on both sides of the inflection point when nonlinearity was detected.
Table 1
Characteristics of the study population
Periodontal attachment loss progression
Q1
(n = 1075)
Q2
(n = 1207)
Q3
(n = 1920)
Q4
(n = 1542)
P value
Age (years)
41.9429 ± 10.3654
53.8780 ± 14.2286
57.0781 ± 13.5825
57.3122 ± 12.1847
 < 0.000001
Gender (%)
    
 < 0.000001
 Male
46.5866
55.4821
59.5286
71.3919
 
 Female
53.4134
44.5179
40.4714
28.6081
 
Race (%)
    
 < 0.000001
 Mexican American
10.362
15.0822
15.9375
19.7697
 
 Other Hispanics
7.6338
10.9928
10.1701
8.6655
 
 Non-Hispanic whites
57.3723
40.5504
39.5653
33.106
 
 Non-Hispanic blacks
12.6704
23.9272
25.0664
28.4604
 
 Other races
11.9614
9.4473
9.2608
9.9984
 
BMI (kg/m2)
30.2613 ± 7.2195
31.1544 ± 7.1552
30.9483 ± 7.5338
30.1925 ± 7.2611
0.000479
PIR
3.4271 ± 1.5579
2.5616 ± 1.5997
2.3715 ± 1.5809
2.0498 ± 1.4968
 < 0.000001
Education (%)
    
 < 0.000001
 Below Grade 9
3.5378
9.6521
11.6025
15.0298
 
 Grades 9–11
4.7052
14.8045
16.3671
19.18
 
 High school graduate
13.4946
23.3908
24.5514
28.3724
 
 College /AA degree
30.885
27.3026
28.0989
24.436
 
 College degree or above
47.1936
24.7337
18.8105
12.5115
 
 Refused to answer
0.1034
0.1164
0.196
0.4702
 
 Don't know
0.0805
0.0000
0.3737
0.0000
 
Circulatory immune cell counts (1000 cells/µL)
 WBC
7.0093 ± 2.0269
7.1159 ± 2.0240
7.2347 ± 2.1349
7.4104 ± 2.2168
0.00001
 Monocyte
0.5189 ± 0.1674
0.5415 ± 0.1893
0.5556 ± 0.2220
0.5748 ± 0.1992
 < 0.000001
 Neutrophils
4.1326 ± 1.6089
4.1839 ± 1.5710
4.2905 ± 1.7428
4.4441 ± 1.7823
0.000008
 Eosinophils
0.1924 ± 0.1837
0.2097 ± 0.1729
0.2124 ± 0.1793
0.2088 ± 0.1666
0.051553
 Basophils
0.0390 ± 0.0536
0.0441 ± 0.0626
0.0444 ± 0.0612
0.0440 ± 0.0600
0.088395
 Lymphocyte
2.1183 ± 0.6694
2.1346 ± 0.7644
2.1286 ± 0.7263
2.1345 ± 0.7398
0.942726
Data are presented as n (%), and mean (SD)
PIR, poverty income ratio; BMI, body mass index; WBC, White blood cell counts

Results

The demographic and laboratory data of the 5744 participants (3217 men and 2527 women), with the weighted characteristics of the participants subclassified based on quartiles of attachment loss teeth counts (Q1: 0; Q2: 1; Q3: 2–5; and Q4: 6–27), as presented in Table 1. There were significant differences in baseline characteristics between the attachment loss teeth quartiles, except for the counts of Eosinophils, Basophils, and Lymphocytes. Participants with generalized periodontal attachment loss tend to occur in the elderly or males and are accompanied with higher BMI, WBC, Monocytes, Neutrophils, and Eosinophils, as well as lower PIR and educational qualification.
The results of the multivariate regression analyses are presented in Tables 2 and 3. In the unadjusted model, WBC (β = 0.1632, 95% CI 0.1051–0.2214, P < 0.000001) and Neutrophils (β = 0.2069, 95% CI 0.1344–0.2795, P < 0.000001) were positively correlated to attachment loss progression. After adjustment for confounders, those positive associations were stable in model 2 (P < 0.000001) and model 3 (P < 0.000001). After converting WBC and Neutrophils from continuous variables to categorical variables (quartiles), the trends remained significant among different WBC or Neutrophils quartile groups (P < 0.001). Furthermore, individuals in the highest WBC and Neutrophils quartile had 0.8392 (P < 0.00001) and 0.8663 (P < 0.00001) more attachment loss than those in the lowest quartile, respectively.
Table 2
Association between WBC and periodontal attachment loss progression
 
Model 1, β (95% CI) P value
Model 2, β (95% CI) P value
Model 3, β (95% CI) P value
WBC
0.1632 (0.1051, 0.2214) < 0.000001
0.2521 (0.1958, 0.3083) < 0.000001
0.1889 (0.1289, 0.2489) < 0.000001
Quintiles of WBC
   
 Q1
Reference
Reference
Reference
 Q2
− 0.2316 (− 0.5897, 0.1265) 0.204932
− 0.0003 (− 0.3442, 0.3435) 0.998490
− 0.0172 (− 0.3730, 0.3386) 0.924533
 Q3
0.0973 (− 0.2642, 0.4589) 0.597791
0.4147 (0.0653, 0.7641) 0.020044
0.2829 (− 0.0815, 0.6474) 0.128185
 Q4
0.6330 (0.2751, 0.9909) 0.000531
1.1660 (0.8183, 1.5137) < 0.000001
0.8392 (0.4706, 1.2078) 0.000008
 P for trend
 < 0.001
 < 0.001
 < 0.001
Stratified by gender
 Male
0.1920 (0.1065, 0.2776) 0.000011
0.2726 (0.1886, 0.3566) < 0.000001
0.2123 (0.1235, 0.3012) 0.000003
 Female
0.1553 (0.0841, 0.2264) 0.000020
0.2255 (0.1554, 0.2957) < 0.000001
0.1399 (0.0649, 0.2149) 0.000262
Stratified by race
 Mexican American
0.2254 (0.0562, 0.3946) 0.009180
0.2229 (0.0604, 0.3855) 0.007308
0.2211 (0.0416, 0.4006) 0.015987
 Other Hispanics
0.3352 (0.1662, 0.5043) 0.000114
0.3612 (0.2001, 0.5222) 0.000013
0.2687 (0.0889, 0.4486) 0.003570
 Non-Hispanic whites
0.3138 (0.2334, 0.3942) < 0.000001
0.3612 (0.2834, 0.4390) < 0.000001
0.2795 (0.1976, 0.3614) < 0.000001
 Non-Hispanic blacks
− 0.0792 (− 0.2108, 0.0523) 0.237836
− 0.0051 (− 0.1336, 0.1233) 0.937387
− 0.0576 (− 0.1945, 0.0793) 0.409560
 Other races
0.2240 (0.0212, 0.4268) 0.030742
0.3167 (0.1234, 0.5100) 0.001384
0.2674 (0.0573, 0.4776) 0.012921
Model 1, no covariates were adjusted
Model 2, age, gender, and race were adjusted
Model 3, all covariates presented in Table 1 were adjusted
Table 3
Association between Neutrophils and periodontal attachment loss
 
Model 1, β (95% CI) P value
Model 2, β (95% CI) P value
Model 3, β (95% CI) P value
Neutrophils
0.2069 (0.1344, 0.2795) < 0.000001
0.3066 (0.2359, 0.3773) < 0.000001
0.2347 (0.1598, 0.3097) < 0.000001
Quintiles of Neutrophils
 Q1
Reference
Reference
Reference
 Q2
− 0.2085 (− 0.5631, 0.1460) 0.249030
− 0.0064 (− 0.3484, 0.3357) 0.970927
− 0.0122 (− 0.3669, 0.3426) 0.946458
 Q3
0.1752 (− 0.1782, 0.5285) 0.331213
0.4011 (0.0587, 0.7435)
0.021695
0.3051 (− 0.0516, 0.6618) 0.093678
 Q4
0.7262 (0.3785, 1.0740) 0.000043
1.1668 (0.8267, 1.5068) < 0.000001
0.8663 (0.5065, 1.2260) 0.000002
 P for trend
 < 0.001
 < 0.001
 < 0.001
Stratified by gender
 Male
0.2543 (0.1476, 0.3610) 0.000003
0.3392 (0.2337, 0.4447) < 0.000001
0.2728 (0.1615, 0.3842) 0.000002
 Female
0.1684 (0.0794, 0.2573) 0.000211
0.2617 (0.1733, 0.3500) < 0.000001
0.1583 (0.0645, 0.2521) 0.000957
Stratified by race
 Mexican American
0.3221 (0.1109, 0.5334) 0.002878
0.2908 (0.0874, 0.4942) 0.005188
0.3080 (0.0846, 0.5314) 0.007031
 Other Hispanics
0.3907 (0.1801, 0.6013) 0.000303
0.3882 (0.1872, 0.5893) 0.000170
0.3012 (0.0747, 0.5277) 0.009441
 Non-Hispanic whites
0.3797 (0.2799, 0.4795) < 0.000001
0.4078 (0.3114, 0.5043) < 0.000001
0.3136 (0.2131, 0.4142) < 0.000001
 Non-Hispanic blacks
− 0.0486 (− 0.2192, 0.1220) 0.576815
− 0.0120 (− 0.1536, 0.1776) 0.887232
− 0.0527 (− 0.2285, 0.1231) 0.556745
 Other races
0.3877 (0.1270, 0.6483) 0.003673
0.4556 (0.2079, 0.7032) 0.000335
0.4050 (0.1333, 0.6767) 0.003622
Model 1, no covariates were adjusted
Model 2, age, gender, and race were adjusted
Model 3, all covariates presented in Table 1 were adjusted
Smooth curve fittings and generalized additive models used to characterize the nonlinear relationship between WBC/Neutrophils and attachment loss progression are shown in Figs. 1, 2. The points of inflection were identified using the two-piecewise linear regression models, at 6200 cells/µL (WBC counts) and 3300 cells/µL (Neutrophils counts), respectively (Tables 4 and 5). For WBC < 620 cells/µL or Neutrophils < 3300 cells/µL, every 1000 cells/µL increase of WBC or Neutrophils was correlated with 0.0784 (95% CI −0.2836 to 0.1269) or 0.1494 (95% CI − 0.4550 to 0.1562) less attachment loss; by comparison, for individuals with WBC > 6200 cells/µL or Neutrophils > 3300 cells/µL, every 1000 cells/µL increase of WBC or Neutrophils was significantly associated with 0.2273 (95% CI 0.1492–0.3054) or 0.2737 (95% CI 0.1823–0.3651) more attachment loss.
Table 4
Threshold effect analysis of WBC on the progression of attachment loss using the two piecewise linear regression model
The number of caries
Adjusted β (95% CI), P value
Fitting by the standard linear model
0.1632 (0.1051, 0.2214) < 0.0001
Fitting by the two-piecewise linear model
 Inflection point
6.2
 WBC < 6.2 (1000 cells/µL)
− 0.0784 (− 0.2836, 0.1269) 0.4542
 WBC > 6.2 (1000 cells/µL)
0.2273 (0.1492, 0.3054) < 0.0001
 Log likelihood ratio
0.016
Table 5
Threshold effect analysis of Neutrophils on the progression of attachment loss using the two piecewise linear regression model
The number of caries
Adjusted β (95% CI), P value
Fitting by the standard linear model
0.2069 (0.1344, 0.2795) < 0.0001
Fitting by the two-piecewise linear model
 Inflection point
3.3
 Neutrophils < 3.3 (1000 cells/µL)
− 0.1494 (− 0.4550, 0.1562) 0.3379
 Neutrophils > 3.3 (1000 cells/µL)
0.2737 (0.1823, 0.3651) < 0.0001
 Log likelihood ratio
0.019
On subgroup analyses, stratified by sex and race/ethnicity, reported in Tables 2 and 3, the positive correlation among WBC, Neutrophils and attachment loss progression remained in both males (P < 0.0001) and females (P < 0.001), as well as in Mexican American (P < 0.05), Hispanics (P < 0.05), whites (P < 0.000001), and other races (P < 0.05), but not in blacks. Among blacks, WBC (β = -0.0576, 95%CI: -0.1945–0.0793) or Neutrophils (β =  − 0.0527, 95% CI − 0.2285 to 0.1231) were negatively associated with attachment loss progression (Fig. 3).

Discussion

Accompanied with attachment loss, severe periodontitis caused serious aesthetic problems and reduced chewing efficiency [16, 17]. Previous studies suggested that the progression of attachment loss was accompanied with increasing circulatory immunological indexes in severe periodontitis [13, 14], but immune cell counts serve as forewarning or diagnostic criteria for severe attachment loss or periodontitis progression remains unclear. Our multivariate logistic regression analyses indicated that elevated WBC or Neutrophils was correlated with attachment loss progression. However, on subgroup analysis, we identified the negative relationship between WBC or Neutrophils and attachment loss among blacks.
Phagocytosis by WBC, Neutrophils, and Monocytes constitutes the main defense mechanism against bacterial challenges in periodontitis [18]. As the enriched immune cell killing bacteria and destroying inflamed tissues [19], immunity homeostasis was essential for periodontal attachment maintenance [20]. In consist with our results, a previous study showed that severe periodontitis accompanied with higher WBC or Neutrophils levels than the healthy population [6]. On the other hand, infectious viruses, including Human simplex virus-1, Epstein-Barr virus, and Human cytomegalo virus, were commonly involved in the occurrence and development of periodontitis or attachment loss [21]. Simple viral infections accompanied with the decrease of WBC and Neutrophils [22], while combination of bacterial infections promotes WBC elevation [23]. Recent research identified the inflection point of fluctuating confounder was utilized as forewarning of periodontitis risk, and periodontal status [24]. Our multivariable linear regression analyses suggested that participants with WBC above 6200 cells/µl or Neutrophils above 3300 cells/µl obtained higher risk of periodontal attachment loss, which can serve for severe periodontitis prevention and treatment.
Previous studies identified the racial differences of WBC or Neutrophils counts between blacks and other races [25, 26]. In which, WBC or Neutrophils counts were significantly lower in blacks during dental plaque accumulation, but hyperactivity of circulating neutrophils appeared in blacks [26]. Importantly, the reactivity of oxidative burst was significantly lower in neutrophils from blacks, especially from African American males [27]. Periodontal attachment loss-related racial differences can provide accurate guidance for subsequent community prevention.
This study demonstrated the association between circulatory immunological indicators and periodontal attachment loss. However, several limitations are noticeable. First, all self-reported information might cause recall bias or misclassification bias. Second, further studies with larger sample sizes using more relevant variables (such as gingival sulcus fluid data and bone destruction) may discover more accurate factors in periodontal attachment loss. Third, circulating immune cells counts were affected by the whole-body state, periodontal pocket related immunological indexes may have better reproducibility.

Conclusion

Our study suggested that increasing WBC (above 6200 cells/µL) and Neutrophils (above 3300 cells/µL) counts were potential risk indicators of periodontal attachment loss progression, which provides an early warning for severe periodontitis.

Acknowledgements

Not applicable.

Declarations

The studies involving human participants were reviewed and approved by the institutional review board of the National Center for Health Statistics, CDC. The patients/participants provided their written informed consent to participate in this study.
All authors agree to publish.

Competing interests

The authors declare no competing interests.
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Metadaten
Titel
The indicative role of inflammatory index in the progression of periodontal attachment loss
verfasst von
Wenhao Zhang
Yulong Zhang
Cong Jin
Ruihan Fang
Ruixue Hua
Xiaodong Zang
Hengguo Zhang
Publikationsdatum
01.12.2023
Verlag
BioMed Central
Erschienen in
European Journal of Medical Research / Ausgabe 1/2023
Elektronische ISSN: 2047-783X
DOI
https://doi.org/10.1186/s40001-023-01247-8

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