Int J Stomatol ›› 2025, Vol. 52 ›› Issue (5): 614-620.doi: 10.7518/gjkq.2025066

• Original Articles • Previous Articles     Next Articles

Relationship between enamel demineralization and oral microbiota with secretory immunoglobulin A in adolescent orthodontic patients

Kai Hu1(),Yanxiao Zhang2,Bingyong Mao1,Xin Tang1,Yueyan Wang3,Yue Pan2,Qiuxiang Zhang1(),Shumao Cui1   

  1. 1.School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
    2.Dept. of Orthodontics, Wuxi Stomatological Hospital, Wuxi 214000, China
    3.Dept. of Endodontics, Wuxi Stomatological Hospital, Wuxi 214000, China
  • Received:2024-04-08 Revised:2025-04-08 Online:2025-09-01 Published:2025-08-27
  • Contact: Qiuxiang Zhang E-mail:hkaimyt1999@gmail.com;zhangqx@jiangnan.edu.cn
  • Supported by:
    National Natural Science Foundation of China(32372300);Young and Middle-aged Researchers Project of Orthodontic Specialty Committee, Jiangsu Stomatological Association(Joa-2022-3);Jiangsu Provincial Key Laboratory of Oral Diseases Research Project(JSKLOD-KF-2108);Wuxi Municipal Health Commission General Program(M202338)

Abstract:

Objective This study aimed to elucidate the key factors contributing to enamel demineralization in or-thodontic patients, identify biomarkers associated with its occurrence, and explore the relationship between enamel demine-ralization and oral microbiota in adolescent orthodontic patients. Methods Two groups of patients were selec-ted, one group with self-ligating brackets (Group S) and the other with traditional metal brackets (Group M), with 22 participants in each group. Subgingival plaque was collected for microbiome analysis at the baseline of orthodontic treatment and after 3 months. Simultaneously, saliva was collected to measure the levels of secretory immunoglobulin A (sIgA). Clinical indices such as the enamel demineralization index, plaque index (PLI), gingival index, and periodontal index were statistically analyzed during monthly recall visits. Results After 3 months of orthodontic treatment, the incidence of enamel demineralization among patients significantly increased, with an average increase of over 20% in demineralization rates. In Group S, the abundance of Fusobacterium, Campylobacter, Neisseria, and Prevotella significantly increased after 3 months of orthodontics (P<0.05). In Group M, the abundance of Rothia significantly increased (P<0.05). The abundance of Arthrobacter, Bacillus, Acinetobacter, Prevotella, and Campylobacter was positively correlated with enamel demineralization and PLI scores. The levels of sIgA in saliva were negatively correlated with the occurrence of enamel demineralization, with a significant decrease in sIgA levels in Group S after orthodontic treatment (P<0.01). Conclusion Orthodontic patients with self-ligating brackets are more prone to enamel demineralization, and Campylobacter and Prevotella may be key bacterial species that exacerbate enamel demineralization in adolescent orthodontic patients. A decrease in salivary sIgA levels may indicate an increased risk of enamel demineralization in or-thodontic patients.

Key words: orthodontics, enamel demineralization, oral microbiota, secretory immunoglobulin A

CLC Number: 

  • R781.5

TrendMD: 

Tab 1

Information of research subjects"

基本信息S组M组P
年龄/岁13.4±1.914.3±1.80.997
性别/例9100.228
1312
身高/cm162.9±7.9166.5±7.80.996
体重/kg47±6.748.7±8.30.871
BMI/(kg/m217.6±2.017.5±2.50.819
每日刷牙频率/次110150.650
2127
≥300
每周高糖食物食用次数/次0820.774
1~21219
≥321

Tab 2

Clinical index of research subjects"

临床指标ST0占比/%ST3占比/%MT0占比/%MT3占比/%P值 (ST0vsST3P值(MT0vsMT3
EDIN=01464418167313590.0020.007
N=16271150523523
N=22941815418
N=3003140000
PLIN=0135941815687320.0070.003
N=17321150627627
N=22941815732
N=3003140029
PIN=019861986188217771.0000.998
N=1314314418523
N=200000000
N=300000000
GIN=01359627167311500.1150.530
N=194113596271045
N=2003140015
N=300000000

Fig 1

Analysis of the diversity of oral microbiota in two groups before and after orthodontic treatment"

Fig 2

Comparison of the abundance of oral microbiota in two groups"

Fig 3

Correlation analysis of oral health indicators in two groups"

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