Patients with periodontal disease often require combined periodontal-orthodontic interventions to restore periodontal health, function, and aesthetics, ensuring both patient satisfaction and long-term stability. Managing these patients involving orthodontic tooth movement can be particularly challenging due to compromised periodontal soft and hard tissues, especially in severe cases. Therefore, close collaboration between orthodontists and periodontists for comprehensive diagnosis and sequential treatment, along with diligent patient compliance throughout the entire process, is crucial for achieving favorable treatment outcomes. Moreover, long-term orthodontic retention and periodontal follow-up are essential to sustain treatment success. This expert consensus, informed by the latest clinical research and practical experience, addresses clinical considerations for orthodontic treatment of periodontal patients, delineating indications, objectives, procedures, and principles with the aim of providing clear and practical guidance for clinical practitioners.
Humans ; Consensus ; Orthodontics, Corrective/standards* ; Periodontal Diseases/complications* ; Tooth Movement Techniques/methods* ; Practice Guidelines as Topic

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

With the growing emphasis on maternal and child oral health, the significance of managing oral health across preconception, pregnancy, and infancy stages has become increasingly apparent. Oral health challenges extend beyond affecting maternal well-being, exerting profound influences on fetal and neonatal oral development as well as immune system maturation. This expert consensus paper, developed using a modified Delphi method, reviews current research and provides recommendations on maternal and child oral health management. It underscores the critical role of comprehensive oral assessments prior to conception, diligent oral health management throughout pregnancy, and meticulous oral hygiene practices during infancy. Effective strategies should be seamlessly integrated across the life course, encompassing preconception oral assessments, systematic dental care during pregnancy, and routine infant oral hygiene. Collaborative efforts among pediatric dentists, maternal and child health workers, and obstetricians are crucial to improving outcomes and fostering clinical research, contributing to evidence-based health management strategies.
Humans ; Pregnancy ; Female ; Infant ; Consensus ; Mouth Diseases/therapy* ; Pregnancy Complications/therapy* ; Oral Health ; Infant, Newborn ; Delphi Technique ; Oral Hygiene

Artificial intelligence (AI) is rapidly advancing in periodontology, bringing new opportunities to clinical diagnosis, risk assessment, personalized treatment planning, and remote patient care. Leveraging core technologies such as deep learning, machine learning, and natural language processing, AI significantly enhances the sensitivity of early periodontal disease detection and provides precise quantification of alveolar bone loss and soft tissue damage. AI facilitates multimodal data integration by synthesizing medical history, lifestyle factors, and imaging data, thereby offering enhanced accurate risk prediction and personalized therapeutic recommendations. By integrating remote monitoring with tailored health counseling, AI helps patients maintain adherence to self-care protocols, significantly improving their oral health-related quality of life and treatment satisfaction. Moreover, AI demonstrates considerable potential in periodontal research and education, particularly in large-scale data mining, virtual clinical case simulations, and natural language processing-assisted literature management. Nevertheless, challenges remain concerning model generalizability, data quality, ethical concerns, and interpretability. The advancement of multi-center big-data platforms is expected to foster a profound integration of AI and periodontology, propelling precision medicine and digital healthcare, enabling holistic management from prevention to long-term care, and enhancing diagnostic efficiency and patient health outcomes.
Humans ; Artificial Intelligence ; Periodontics/methods* ; Periodontal Diseases/therapy* ; Deep Learning ; Precision Medicine ; Quality of Life

Due to the high prevalence of periodontitis, the control of periodontal inflammation, as well as the regeneration and repair of periodontal tissues have attracted extensive attentions. To better understand the mechanism of periodontal diseases, in vivo and in vitro models are usually required. With the rapid development of tissue engineering, in vitro models with the advantages of easy observation, high controllability, low cost, and high efficiency has become a unique choice for current research. In vitro models of periodontitis are no longer limited to cellular models, researchers are increasingly inclined to develop simple, effective, and realistic models to simulate the periodontal microenvironment. This article reviews in vitro models of periodontitis that have been successfully established, aiming to provide researchers with new ideas to simulate the human periodontitis microenvironment in vitro, which is helpful to explore the pathogenesis of periodontitis.

Objective:To investigate the effects of galectin-3 (Gal-3) expression on lipopolysaccharide (LPS)-induced proliferation, migration, apoptosis, reactive oxygen species (ROS) and inflammatory cytokine production in human gingival fibroblasts (GF) as well as its mechanism, thus laying the foundation for an in-depth discussion of the regulatory role of Gal-3 in periodontitis and its mechanisms.Methods:Gingival tissues from 6 periodontally healthy subjects undergoing crown lengthening were collected at the Department of Periodontology, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University from December 2022 to December 2023. GFs were extracted and cultured by collagenase digestion. Lentivirals with multiplicity of infection (MOI) of 15, 20, 30, 40, 50, 60, 70, 80 were used to achieve knockdown and overexpression of Gal-3 gene in GFs, whose efficiencies of Gal-3 gene were detected by using immunofluorescence, real-time fluorescence quantitative PCR (RT-qPCR) and Western blotting. Negative control of knockdown (shNC)+LPS group, Gal-3 knockdown (shGal-3)+LPS group, negative control of overexpression (oeNC)+LPS group, and Gal-3 overexpression (oeGal-3)+LPS group were established, respectively. 5-Ethynyl-2′-deoxyuridine (EdU), Ki67 staining, scratch migration assay, terminal deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling (TUNEL) technology, immunofluorescence assay and RT-qPCR were used to investigate the effects of Gal-3 on LPS-induced proliferation, migration, apoptosis, ROS, interleukin (IL)-6, IL-8 expression. The effects of Gal-3 knockdown on the expression of differential genes and the enrichment of signaling pathways in LPS-induced GFs were investigated by RNA sequencing (RNA-seq).Results:More than 80% of GFs were successfully transfected by shGal-3 MOI 40 and oeGal-3 MOI 70. Immunofluorescence results showed that the morphologies of GFs were normal after lentiviral transfection, and green fluorescence could be distributed in the cytoplasm, nucleus, and cell membrane. The results of RT-qPCR and Western blotting assay showed that the expressions of Gal-3 at the gene and protein levels in shGal-3 group (0.26±0.01, 0.26±0.03, respectively) were significantly lower than those in the shNC group (1.00±0.03, 1.00±0.09, respectively) ( P<0.001); the expressions of Gal-3 at the gene and protein levels in the oeGal-3 group (4.26±0.05, 3.94±0.34) were significantly higher than those in the oeNC group (1.00±0.00, 1.00±0.24, respectively) ( P<0.001). EdU, Ki67 experiments showed that the percentage of GFs proliferation was significantly lower in the shGal-3+LPS group [(16.99±1.79)%, (13.48±0.95)%, respectively] than in the shNC+LPS group [(33.86±3.84)%, (35.63±1.62)%, respectively] ( P<0.05), and the proliferation ratio of GFs was significantly increased in the oeGal-3+LPS group [(45.36±1.56)%, (45.83±1.50)%, respectively] compared to the oeNC+LPS group [(34.47±1.02)%, (33.66±3.14)%, respectively] ( P<0.05). The results of scratch migration assay showed that the migration ratio of GFs in shGal-3+LPS group significantly decreased compared to the shNC+LPS group [(25.07±0.01)% vs (57.84±0.00)%] ( P<0.001), whereas the oeGal-3+LPS group significantly facilitated the migration ratio of GFs compared to the oeNC+LPS group [(74.70±0.03)% vs (53.36±0.01)%] ( P<0.001). The results of TUNEL experiments showed that LPS stimulation with shGal-3 promoted apoptosis of GFs ( P<0.05), whereas oeGal-3 inhibited apoptosis of GFs ( P<0.001). Immunofluorescence experiments and RT-qPCR results showed that knockdown of Gal-3 significantly reduced ROS production, IL-6 and IL-8 expression levels at the gene level in GFs ( P<0.001), whereas overexpression of Gal-3 significantly increased the production of ROS and the expression of IL-6 and IL-8 at the gene level in GFs ( P<0.001). RNA-seq results showed that differential genes caused by Gal-3 knockdown under LPS conditions were significantly enriched in biological processes such as cellular response to type Ⅰinterferon in the Gene Ontology database and in the Kyoto Encyclopedia of Genes and Genomes database for NOD-like receptor, RIG-I like receptor and other signaling pathways. Conclusions:Gal-3 knockdown inhibited LPS-induced proliferation, migration, ROS, IL-6 and IL-8 production, and promoted apoptosis of GFs, while overexpression had the opposite effect. This process might be closely linked to the Janus kinase-signal transducer and activator of transcription pathway.

The European Federation of Periodontology (EFP) and the Association for Dental Education in Europe (ADEE) jointly held the second European Consensus Workshop on Education in Periodontology in February, 2023. Building on the first consensus workshop in 2009, expert working groups from European Workshop Committee updated four educational levels: undergraduate, specialist, continuing professional development (CPD), as well as teaching methods, culminating in the updated consensus report in March, 2024. This article introduces and interprets the contents of the 2024 consensus report. Specific to China′s national conditions, we also propose future perspectives and considerations on different levels of periodontal education in China based on this consensus.

Objective:To analyze the distribution and epidemiological characteristics of common non-bacterial pathogens in hospitalized children with acute respiratory tract infections(ARTI)from a multi-center study covering 4 regions in Fujian Province in 2023.Methods:A retrospective cohort study was conducted using medical record analysis.A total of 22 769 hospitalized children with ARTI were enrolled from January to December 2023 across seven regional pediatric medical centers in Fujian Province (covering four major geographical divisions of Fuzhou, Nanping, Sanming and Longyan; all selected hospitals were regional children′s medical centers).Using single-tube multiplex PCR with fragment analysis on a Sanger sequencing platform, the nucleic acids of 11 common non-bacterial respiratory pathogens were tested in nasopharyngeal swabs collected from 22 769 children. These pathogens included influenza A virus(FluA), influenza B virus(FluB), parainfluenza virus(PIV), respiratory syncytial virus (RSV), adenovirus (ADV), human rhinovirus (HRV), human bocavirus (HBoV), human coronavirus (HCoV), human metapneumovirus(HMPV), Mycoplasma pneumoniae(MP), and Chlamydia (Ch). Count data were described as [ n(%)], and the chi-square test/Fisher′s exact test was used to compare the differences in rates between groups. Epidemiological features, including positive detection rates, pathogen profiles, and correlations with region, sex, age and month, were analyzed. Results:Among 22 769 children with ARTI, pathogens were detected in 16 213 cases (71.21%), including 13 340 single infections (58.59%).The detection rates of single pathogens in descending order were human rhinovirus (HRV, 12.95%), Mycoplasma pneumoniae(MP, 12.27%), respiratory syncytial virus(RSV, 11.12%), influenza A virus (Flu-A, 7.98%), parainfluenza virus(PIV, 4.66%), human metapneumovirus(HMPV, 4.60%), adenovirus(ADV, 2.70%), human bocavirus(HBoV, 0.84%), human coronavirus(HCoV, 0.82%), influenza B virus(Flu-B, 0.47%) and Chlamydia(Ch, 0.18%).Mixed infections occurred in 2 873 cases(12.62%), primarily dual infections(2 679 cases).Regional analysis revealed significant disparities:Luoyuan County Hospital (Fuzhou) exhibited the highest total detection rate(86.59%, 1 414/1 633)and mixed infection rate(23.27%, 380/1 633)(both P<0.001), with notably elevated MP (26.39%, 431/1 633);Jian′ou City Hospital(Nanping) ranked second for Flu-A(14.21%, 409/2 879), RSV(13.20%, 380/2 879) and mixed infections(17.12%, 493/2 879);Lianjiang County Hospital(Fuzhou) showed distinct prevalence of Flu-A(10.68%, 130/1 217), PIV(6.00%, 73/1 217), and HBoV(1.73%, 21/1 217); Yong′an City Hospital (Sanming) reported high MP (26.07%, 238/913) and RSV(12.38%, 113/913);Shaowu City Hospital(Nanping) was dominated by MP (18.60%, 407/2 188) and HRV(13.39%, 293/2 188); Tingzhou Hospital(Longyan) had the highest HRV (17.88%, 407/2 276) and Flu-B (0.75%, 17/2 276); and Fuzhou Children′s Hospital showed elevated ADV(3.38%, 394/11 663) and HCoV(1.08%, 126/11 663). Except for Flu-B(0.47%, 108/22 769; P=0.054) and Ch(0.18%, 40/22769; P=0.900), all pathogens and mixed infections exhibited significant regional variations ( P<0.05).Gender analysis indicated higher detection rates of HRV, RSV, Flu-A, ADV, PIV, HBoV and mixed infections in males, while MP, HMPV, Flu-B, HCoV, and Ch were more prevalent in females, with statistically significant differences for HRV and MP (both P<0.001). Age stratification showed the highest overall detection rate in the 3-<6 years group (75.48%; P<0.001): RSV and Ch peaked in infants (<1 year), HRV, PIV, ADV and HBoV in toddlers (1-<3 years), HMPV, HCoV, and mixed infections in preschool children (3-<6 years), and MP, Flu-A and Flu-B in older children (6-<18 years).Analyzing the prevalent months, the monthly prevalence trends of pathogens in various regions are similar.Seasonal trends demonstrated year-round HRV activity (peaking in spring/autumn), MP prevalence in autumn/winter, RSV surges in spring-summer (April-June) and late summer-autumn (August-October), and Flu-A predominanced in winter-spring. Conclusion:Multiplex PCR with fragment analysis demonstrated high diagnostic efficacy. The top 4 non-bacterial pathogens in Fujian Province′s ARTI-hospitalized children in 2023 were HRV, MP, RSV and Flu-A. Pathogen distribution exhibited significant regional, age and seasonal variations, emphasizing the need for targeted prevention strategies.

Due to the high prevalence of periodontitis, the control of periodontal inflammation, as well as the regeneration and repair of periodontal tissues have attracted extensive attentions. To better understand the mechanism of periodontal diseases, in vivo and in vitro models are usually required. With the rapid development of tissue engineering, in vitro models with the advantages of easy observation, high controllability, low cost, and high efficiency has become a unique choice for current research. In vitro models of periodontitis are no longer limited to cellular models, researchers are increasingly inclined to develop simple, effective, and realistic models to simulate the periodontal microenvironment. This article reviews in vitro models of periodontitis that have been successfully established, aiming to provide researchers with new ideas to simulate the human periodontitis microenvironment in vitro, which is helpful to explore the pathogenesis of periodontitis.

Objective:To investigate the effects of galectin-3 (Gal-3) expression on lipopolysaccharide (LPS)-induced proliferation, migration, apoptosis, reactive oxygen species (ROS) and inflammatory cytokine production in human gingival fibroblasts (GF) as well as its mechanism, thus laying the foundation for an in-depth discussion of the regulatory role of Gal-3 in periodontitis and its mechanisms.Methods:Gingival tissues from 6 periodontally healthy subjects undergoing crown lengthening were collected at the Department of Periodontology, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University from December 2022 to December 2023. GFs were extracted and cultured by collagenase digestion. Lentivirals with multiplicity of infection (MOI) of 15, 20, 30, 40, 50, 60, 70, 80 were used to achieve knockdown and overexpression of Gal-3 gene in GFs, whose efficiencies of Gal-3 gene were detected by using immunofluorescence, real-time fluorescence quantitative PCR (RT-qPCR) and Western blotting. Negative control of knockdown (shNC)+LPS group, Gal-3 knockdown (shGal-3)+LPS group, negative control of overexpression (oeNC)+LPS group, and Gal-3 overexpression (oeGal-3)+LPS group were established, respectively. 5-Ethynyl-2′-deoxyuridine (EdU), Ki67 staining, scratch migration assay, terminal deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling (TUNEL) technology, immunofluorescence assay and RT-qPCR were used to investigate the effects of Gal-3 on LPS-induced proliferation, migration, apoptosis, ROS, interleukin (IL)-6, IL-8 expression. The effects of Gal-3 knockdown on the expression of differential genes and the enrichment of signaling pathways in LPS-induced GFs were investigated by RNA sequencing (RNA-seq).Results:More than 80% of GFs were successfully transfected by shGal-3 MOI 40 and oeGal-3 MOI 70. Immunofluorescence results showed that the morphologies of GFs were normal after lentiviral transfection, and green fluorescence could be distributed in the cytoplasm, nucleus, and cell membrane. The results of RT-qPCR and Western blotting assay showed that the expressions of Gal-3 at the gene and protein levels in shGal-3 group (0.26±0.01, 0.26±0.03, respectively) were significantly lower than those in the shNC group (1.00±0.03, 1.00±0.09, respectively) ( P<0.001); the expressions of Gal-3 at the gene and protein levels in the oeGal-3 group (4.26±0.05, 3.94±0.34) were significantly higher than those in the oeNC group (1.00±0.00, 1.00±0.24, respectively) ( P<0.001). EdU, Ki67 experiments showed that the percentage of GFs proliferation was significantly lower in the shGal-3+LPS group [(16.99±1.79)%, (13.48±0.95)%, respectively] than in the shNC+LPS group [(33.86±3.84)%, (35.63±1.62)%, respectively] ( P<0.05), and the proliferation ratio of GFs was significantly increased in the oeGal-3+LPS group [(45.36±1.56)%, (45.83±1.50)%, respectively] compared to the oeNC+LPS group [(34.47±1.02)%, (33.66±3.14)%, respectively] ( P<0.05). The results of scratch migration assay showed that the migration ratio of GFs in shGal-3+LPS group significantly decreased compared to the shNC+LPS group [(25.07±0.01)% vs (57.84±0.00)%] ( P<0.001), whereas the oeGal-3+LPS group significantly facilitated the migration ratio of GFs compared to the oeNC+LPS group [(74.70±0.03)% vs (53.36±0.01)%] ( P<0.001). The results of TUNEL experiments showed that LPS stimulation with shGal-3 promoted apoptosis of GFs ( P<0.05), whereas oeGal-3 inhibited apoptosis of GFs ( P<0.001). Immunofluorescence experiments and RT-qPCR results showed that knockdown of Gal-3 significantly reduced ROS production, IL-6 and IL-8 expression levels at the gene level in GFs ( P<0.001), whereas overexpression of Gal-3 significantly increased the production of ROS and the expression of IL-6 and IL-8 at the gene level in GFs ( P<0.001). RNA-seq results showed that differential genes caused by Gal-3 knockdown under LPS conditions were significantly enriched in biological processes such as cellular response to type Ⅰinterferon in the Gene Ontology database and in the Kyoto Encyclopedia of Genes and Genomes database for NOD-like receptor, RIG-I like receptor and other signaling pathways. Conclusions:Gal-3 knockdown inhibited LPS-induced proliferation, migration, ROS, IL-6 and IL-8 production, and promoted apoptosis of GFs, while overexpression had the opposite effect. This process might be closely linked to the Janus kinase-signal transducer and activator of transcription pathway.