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Luo SC, Wei SM, Luo XT, Yang QQ, Wong KH, Cheung PCK, Zhang BB. How probiotics, prebiotics, synbiotics, and postbiotics prevent dental caries: an oral microbiota perspective. NPJ Biofilms Microbiomes 2024; 10:14. [PMID: 38402294 PMCID: PMC10894247 DOI: 10.1038/s41522-024-00488-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 02/12/2024] [Indexed: 02/26/2024] Open
Abstract
Dental caries, a highly prevalent oral disease, impacts a significant portion of the global population. Conventional approaches that indiscriminately eradicate microbes disrupt the natural equilibrium of the oral microbiota. In contrast, biointervention strategies aim to restore this balance by introducing beneficial microorganisms or inhibiting cariogenic ones. Over the past three decades, microbial preparations have garnered considerable attention in dental research for the prevention and treatment of dental caries. However, unlike related pathologies in the gastrointestinal, vaginal, and respiratory tracts, dental caries occurs on hard tissues such as tooth enamel and is closely associated with localized acid overproduction facilitated by cariogenic biofilms. Therefore, it is insufficient to rely solely on previous mechanisms to delineate the role of microbial preparations in the oral cavity. A more comprehensive perspective should involve considering the concepts of cariogenic biofilms. This review elucidates the latest research progress, mechanisms of action, challenges, and future research directions regarding probiotics, prebiotics, synbiotics, and postbiotics for the prevention and treatment of dental caries, taking into account the unique pathogenic mechanisms of dental caries. With an enhanced understanding of oral microbiota, personalized microbial therapy will emerge as a critical future research trend.
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Affiliation(s)
- Si-Chen Luo
- Guangdong Provincial Key Laboratory of Marine Biology, Department of Biology, College of Science, Shantou University, Shantou, 515063, Guangdong, PR China
| | - Si-Min Wei
- Guangdong Provincial Key Laboratory of Marine Biology, Department of Biology, College of Science, Shantou University, Shantou, 515063, Guangdong, PR China
| | - Xin-Tao Luo
- Guangdong Provincial Key Laboratory of Marine Biology, Department of Biology, College of Science, Shantou University, Shantou, 515063, Guangdong, PR China
| | - Qiong-Qiong Yang
- Guangdong Provincial Key Laboratory of Marine Biology, Department of Biology, College of Science, Shantou University, Shantou, 515063, Guangdong, PR China
| | - Ka-Hing Wong
- Research Institute for Future Food, Department of Food Science and Nutrition, The Hong Kong Polytechnic University, Hong Kong, PR China
| | - Peter C K Cheung
- School of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, PR China
| | - Bo-Bo Zhang
- Guangdong Provincial Key Laboratory of Marine Biology, Department of Biology, College of Science, Shantou University, Shantou, 515063, Guangdong, PR China.
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Sun Y, Lu J, Yang J, Liu Y, Liu L, Zeng F, Niu Y, Dong L, Yang F. Construction of a caries diagnosis model based on microbiome novelty score. HUA XI KOU QIANG YI XUE ZA ZHI = HUAXI KOUQIANG YIXUE ZAZHI = WEST CHINA JOURNAL OF STOMATOLOGY 2023; 41:208-217. [PMID: 37056188 PMCID: PMC10427253 DOI: 10.7518/hxkq.2023.2022301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 12/30/2022] [Indexed: 04/15/2023]
Abstract
OBJECTIVES This study aimed to analyze the bacteria in dental caries and establish an optimized dental-ca-ries diagnosis model based on 16S ribosomal RNA (rRNA) data of oral flora. METHODS We searched the public databa-ses of microbiomes including NCBI, MG-RAST, EMBL-EBI, and QIITA and collected data involved in the relevant research on human oral microbiomes worldwide. The samples in the caries dataset (1 703) were compared with healthy ones (20 540) by using the microbial search engine (MSE) to obtain the microbiome novelty score (MNS) and construct a caries diagnosis model based on this index. Nonparametric multivariate ANOVA was used to analyze and compare the impact of different host factors on the oral flora MNS, and the model was optimized by controlling related factors. Finally, the effect of the model was evaluated by receiver operating characteristic (ROC) curve analysis. RESULTS 1) The oral microbiota distribution obviously differed among people with various oral-health statuses, and the species richness and species diversity index decreased. 2) ROC curve was used to evaluate the caries data set, and the area under ROC curve was AUC=0.67. 3) Among the five hosts' factors including caries status, country, age, decayed missing filled tooth (DMFT) indices, and sampling site displayed the strongest effect on MNS of samples (P=0.001). 4) The AUC of the model was 0.87, 0.74, 0.74, and 0.75 in high caries, medium caries, low caries samples in Chinese children, and mixed dental plaque samples after controlling host factors, respectively. CONCLUSIONS The model based on the analysis of 16S rRNA data of oral flora had good diagnostic efficiency.
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Affiliation(s)
- Yanfei Sun
- School of Stomatology, Qingdao University, Qingdao 266003, China
- Dept. of Pediatric Dentistry, Center of Stomatology, Municipal Hospital, Qingdao 266071, China
| | - Jie Lu
- Dept. of Stomatology, Pujiang Stomatological Hospital, Jinhua 322299, China
| | - Jiazhen Yang
- Dept. of Pediatric Dentistry, Stomatological Hospital of Qingdao, Qingdao 266000, China
| | - Yuhan Liu
- Central Laboratory, Stomatological Hospital of Qing-dao, Qingdao 266000, China
| | - Lu Liu
- Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China
| | - Fei Zeng
- Dept. of Stomatology, Affiliated Hospital of Jining Medical University, Jining 272000, China
| | - Yufen Niu
- Dept. of Pediatric Dentistry, Center of Stomatology, Municipal Hospital, Qingdao 266071, China
- School of Stomatology, Dalian Medical University, Dalian 116044, China
| | - Lei Dong
- Dept. of Pediatric Dentistry, Center of Stomatology, Municipal Hospital, Qingdao 266071, China
- School of Stomatology, Dalian Medical University, Dalian 116044, China
| | - Fang Yang
- School of Stomatology, Qingdao University, Qingdao 266003, China
- Dept. of Pediatric Dentistry, Center of Stomatology, Municipal Hospital, Qingdao 266071, China
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Chen Y, Dou G, Wang D, Yang J, Zhang Y, Garnett JA, Chen Y, Wang Y, Xia B. Comparative Microbial Profiles of Caries and Black Extrinsic Tooth Stain in Primary Dentition. Caries Res 2021; 55:310-321. [PMID: 34247164 DOI: 10.1159/000517006] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Accepted: 05/02/2021] [Indexed: 11/19/2022] Open
Abstract
Extrinsic black tooth stain (BS) is a common oral disease associated with lower caries experience in preschool children, although the microbiotic features contributing to the low risk of caries in this group remain elusive. In this study, we aimed at identifying the dominant bacteria in dental plaque to indicate the incidence of caries in the primary dentition. Subjects were divided into 3 groups based on the clinical examination: group CF, children without pigment who had no caries lesions or restorations (n = 18); group CS, children who were diagnosed with severe early childhood caries (n = 17); and group BS, children with pigment (black extrinsic stain) without caries or restorations (n = 15). The total microbial genomic DNA was extracted and subjected to bacterial 16S ribosomal RNA gene sequencing using an Illumina HiSeq platform. The differential dominant bacteria were determined using Wilcoxon rank-sum testing and linear discriminant analysis effect size (LEfSe). Co-occurrence network analysis was performed using sparse correlations for compositional data, calculation and functional features were predicted using PICRUSt. Interestingly, our results showed that the relative abundance of Pseudopropionibacterium, Actinomyces, Rothia, and Cardiobacterium was from high to low and that of Porphyromonas was low to high in the BS, CF, and CS groups, consistent with the clinical incidence of caries in the 3 groups. Moreover, an increased level of Selenomonas_3, Fusobacterium, and Leptotrichia was associated with high caries prevalence. We found that the interactions among genera in the BS and CS plaque communities are less complex than those in the CF communities at the taxon level. Functional features, including cofactor and vitamin metabolism, glycan biosynthesis and metabolism, and translation, significantly increased in caries plaque samples. These bacterial competition- and commensalism-induced changes in microbiota would result in a change of their symbiotic function, finally affecting the balance of oral microflora.
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Affiliation(s)
- Ying Chen
- Department of Paediatric Dentistry, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing, China,
| | - Guili Dou
- Department of Paediatric Dentistry, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing, China
| | - Dandan Wang
- Department of Paediatric Dentistry, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing, China
| | - Jingyi Yang
- Department of Paediatric Dentistry, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing, China
| | - Yixin Zhang
- Central Laboratory & Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing, China
| | - James A Garnett
- Centre for Host-Microbiome Interactions, Dental institute, King's College London, London, United Kingdom
| | - Yihua Chen
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Yixiang Wang
- Central Laboratory & Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing, China
| | - Bin Xia
- Department of Paediatric Dentistry, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing, China
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