BACKGROUND:In recent years,deep learning technologies have been increasingly applied in the field of oral medicine,enhancing the efficiency and accuracy of oral imaging analysis and promoting the rapid development of intelligent oral medicine. OBJECTIVE:To elaborate the current research status,advantages,and limitations of deep learning based on oral imaging in the diagnosis and treatment decision-making of oral diseases,as well as future prospects,exploring new directions for the transformation of oral medicine under the backdrop of deep learning technology. METHODS:PubMed was searched for literature related to deep learning in oral medical imaging published from January 2017 to January 2024 with the search terms"deep learning,artificial intelligence,stomatology,oral medical imaging."According to the inclusion criteria,80 papers were finally included for review. RESULTS AND CONCLUSION:(1)Classic deep learning models include artificial neural networks,convolutional neural networks,recurrent neural networks,and generative adversarial networks.Scholars have used these models in competitive or cooperative forms to achieve more efficient interpretation of oral medical images.(2)In the field of oral medicine,the diagnosis of diseases and the formulation of treatment plans largely depend on the interpretation of medical imaging data.Deep learning technology,with its strong image processing capabilities,aids in the diagnosis of diseases such as dental caries,periapical periodontitis,vertical root fractures,periodontal disease,and jaw cysts,as well as preoperative assessments for procedures such as third molar extraction and cervical lymph node dissection,helping clinicians improve the accuracy and efficiency of decision-making.(3)Although deep learning is promising as an important auxiliary tool for the diagnosis and treatment of oral diseases,it still has certain limitations in model technology,safety ethics,and legal regulation.Future research should focus on demonstrating the scalability,robustness,and clinical practicality of deep learning,and finding the best way to integrate automated deep learning decision support systems into routine clinical workflows.

Objective:To investigate the effect of osteoblast-derived extracellular vesicles(OB-EVs)on the proliferation and differentiation of osteoclasts,and to explore the possible molecular mechanism of extracellular vesicles involved in the communication between osteoblasts and osteoclasts.Methods:Primary osteoblasts were isolated from newborn mouse calvarial bone and induced by β-glycero phosphate,ascorbic acid and dexamethasone.Osteogenic feature was tested by alkaline phosphatase(ALP)and alizarin red S staining.Extracellular vesicles were isolated by ultracentrifugation from the cell culture supernatant.Vesicle morphology was observed by transmission electron microscopy,and the characteristic markers of tumor susceptibility gene 101(TSG101),ALG-2 interacting protein X(Alix)and cluster of differentiation 9(CD9)on the surface of extracellular vesicles were identified by Western blotting.Cell counting kit 8(CCK-8)assay was used to determine the proliferation effect of OB-EVs on mouse mononuclear macrophage RAW264.7 cells.Furthermore,the expression level of specific markers of osteoclast differentiation in RAW264.7 cells was detected by Western blotting after the combined effect of OB-EVs and receptor activator for nuclear factor κB ligand(RANKL).The number of osteoclasts was observed and compared with OB-EVs-treated mouse bone marrow-derived macrophages(BMMs)by tartrate-resistant acid phosphatase(TRAP)staining,and the effect of OB-EVs on osteoclast differentiation was determined.Results:The extracted OB-EVs showed a double-layer cup-like structure with a diameter of 30-150 nm,and TSG101,Alix and CD9 were expressed.RAW264.7 cells were stimulated with OB-EVs,and the results of CCK-8 assay showed that high concentration of OB-EVs(more than 20 μg/mL)inhibited cell proliferation(P<0.05).Western blotting analysis showed that the expression of osteoclast differentiation marker proteins such as c-Fos,activated T cell nuclear factor(NFATc1)and c-Jun N-terminal kinase(JNK)in RAW264.7 cells were significantly increased,and the promoting effect was enhanced with increasing of OB-EVs concentration(P<0.05).In addition,the combination of OB-EVs and RANKL on BMMs showed that the number of TRAP-positive cells was significantly higher than that of the RANKL induction group alone(P<0.05).Conclusion:OB-EVs can promote the differentiation of osteoclast precursor cells into osteoclasts,but high concentration of OB-EVs can inhibit proliferation of RAW264.7 cells.

Due to the long pathological process of Alzheimer disease(AD),this paper begins with the time-line of classical pathological events in AD and uses anomalous microglia activation as a starting point to elucidate the role of abnormal lipid metabolism in the pathological process of AD.This includes its influence on microglial pathology and its interactions with the two primary nodes of AD,namely,Amyloid-β and the microtubule-associated protein tau.Using this as a foundation,the paper briefly describes the effects of abnormal lipid metabolism caused by short-term and long-term high-fat diets on the pathological progression of AD and its potential mechanisms,aiming to provide a reference framework for the early intervention of AD.

The reform of medical insurance payment system could promote the transformation of medical services from price medical care to value medical care, which is very important to promote the construction of medical alliance. The authors discussed the reform of medical insurance payment system to promote the construction of medical alliance, and the order of medical alliance covering medical services and seeking medical treatment.For medical service providers, the reform of medical insurance payment system helped to promote the construction of closer medical alliance, guided the sinking of high-quality resources, helped to form a smooth referral mechanism, and strengthened the supervision and assessment of medical behavior. For the demanders of medical services, the differentiated medical insurance reimbursement proportion policy within the medical alliancewas more conducive to attracting the first consultation at the grass-roots level. At the same time, patients had a wider choice of medical treatment and more freedom of choice. In view of the problems existing in practice, the authors suggested that a variety of medical insurance payment and performance systems with value-based medical care as the core should be implemented to deepen the development of medical alliance, the medical insurance system and municipal subsidies should jointly undertake the salary subsidies for sinking medical personnel, and integrate the grass-roots fragmented health care business with the help of medical insurance payment tools, and promote the coverage expansion of the medical insurance reform of the medical alliance based on policy guidance.

To investigate the effects of interleukin (IL)-17-mediated autophagy on the TNF receptor associated factor (TRAF6)/extracellular signal-regulated kinase (ERK)/p38 pathway and osteoclast differentiation. Mouse bone marrow-derived macrophages (BMM) were cultured with a medium containing 30 ng/mL macrophage colony stimulating factor and 50 ng/mL receptor activator of nuclear factor-kappa B ligard (RANKL), and IL-17 (0.01, 0.1, 1.0, 10 ng/mL) was added for intervention (IL-17 group). Tartrate-resistant acid phosphatase (TRAP) staining was used to observe TRAP positive multinucleated cells; phalloidin fluorescent staining was used to detect actin ring circumference; toluidine blue staining was used to analyze bone resorption lacuna formation. To further examine the mechanism of the effect of IL-17-mediated autophagy on the differentiation of osteoclasts, the control group used RANKL medium to culture mouse macrophage RAW264.7 cells, while the IL-17 group was treated with IL-17 (0.01, 0.1, 1.0, /mL). Western blot was used to detect the expression of autophagy-related proteins Beclin-1, microtubule-associated protein 1 light chain 3 (LC3) and osteoclast-related proteins c-fos and nuclear factor of activated T cell 1 (NFATc1) after treatment with different concentrations of IL-17. The expression of LC3, NFATc1, TRAF6/ERK/p38 signaling pathway related proteins were detected in IL-17 and autophagy inhibitor 3-MA group. The number of TRAP positive multinucleated cells, the circumference of the actin ring and the area of bone resorption lacuna in IL-17 group treated with IL-17 (0.01, 0.1, were significantly higher than those in the control group. In IL-17 treated RAW264.7 cells, the expression of c-fos, NFATc1, Beclin-1, LC3, TRAF6, p-ERK, and p-p38 was all significantly up-regulated (all 0.05). After treatment with the autophagy inhibitor 3-MA, the expression levels of LC3, NFATc1, TRAF6, p-ERK, and p-p38 all decreased significantly (all 0.05). IL-17 can promote the expression of autophagy proteins and enhance the differentiation ability of osteoclast precursor cells, and the TRAF6/ERK/p38 signaling pathway may be involved in this process.
Animals ; Autophagy ; Bone Resorption ; Cell Differentiation ; Extracellular Signal-Regulated MAP Kinases ; Interleukin-17 ; Mice ; NFATC Transcription Factors/metabolism* ; Osteoclasts/metabolism* ; RANK Ligand/metabolism* ; TNF Receptor-Associated Factor 6

Objective: To explore the Expressions of multiple inflammation markers in the patients with 2019 novel coronavirus pneumonia (COVID-19) and their clinical values, and to provide theoretical basis for clinical diagnosis and treatment. Methods: A total of 164 patients, diagnosed with COVID-19 and admitted to Guangzhou Eighth People's Hospital from January to February 2020, were selected as the research group and divided into three groups (ordinary, severe, and critically severe pneumonia) according to the disease severity. Meandwhile 66 non-infected patients during the same period were selected as negative control group. The expressions of WBC, LYM, CRP, SAA, and PCT were retrospective studied and compared between groups. The diagnostic values of WBC, CRP, SAA and the combination of these three markers in all patients with COVID-19 and in different severity groups were analyzed by ROC curve. Results: Compared with control group (WBC count :8.13(6.51,9.42)×10⁹/L, LYM count:2.00(1.28,2.43)×10⁹/L), WBC count [4.94(4.05, 6.67) ×10⁹/L] and LYM count [1.33(0.94, 1.96) ×10⁹/L] of COVID-19 patients were significantly reduced (Z=-7.435, P<0.01; Z=-4.906, P<0.01) . Compared with the control group [CRP: 1.36 (0.57~5.67) mg/ml; SAA:[4.98 (4.80~15.75) mg/mL], CRP [7.93 (2.45~23.98) mg/ml] and SAA [34.13 (4.83~198.40) mg/ml] were increased in research group (Z=-5.72, P<0.01; Z=-4.166, P<0.01) . PCT in the control group and the research group were 0.100 0(0.030 6~0.100 0)ng/ml and 0.044 5(0.031 6~0.077 0)ng/ml, respectively. There was no statistical difference between two groups (Z=-1.451, P=0.147) . The areas under the ROC curve (AUC) of WBC, CRP and SAA in patients with COVID-19 were 0.814, 0.742, 0.673, respectively (P<0.01), while the AUC of the combination of three indexes for COVID-19 diagnosis was 0.882, with 83.33%(55/66) specificity and 84.76% (139/164) sensitivity, P<0.01.The AUCs of WBC, CRP, and SAA for predicting severe and critically severe COVID-19 were 0.799, 0.779, and 0.886 , respectively (P<0.01), and the AUC of the combination of three indexes for the diagnosis of severe and critically severe COVID-19 was 0.924, with 78.67% (118/150) specificity and 14/14 sensitivity (P<0.01). Conclusion Combining detection of WBC, CRP and SAA can improve the specificity and sensitivity of COVID-19 diagnosis, with a high diagnostic value for severe and critically severe COVID-19.

Objective:To evaluate the performance of three antibody kits for novel coronavirus (SARS-CoV-2) and to investigate the feasibility and advantages of them in clinical application.Methods:A total of 104 patients who were admitted to Guangzhou Eighth People′s Hospital with COVID-19 from January to February 2020 were selected as research group. Fifty-one healthy subjects were selected during the same period as negative control group. Serum antibodies (IgM/IgG) against SARS-CoV-2 were detected using two kinds of colloidal gold kits (A and B kits) and one chemiluminescence kit (C kit). The positive rates of SARS-CoV-2 nucleic acid in different samples from patients with COVID-19 were retrospectively analyzed.Results:The clinical sensitivity of A kit to detect SARS-CoV-2-specific IgM and IgG was 77.88% (81/104) and 65.38% (68/104), respectively, and the clinical specificity was 70.59% (36/51) and 100.00% (51/51). However, the false positive rate in IgM detection was as high as 29.41% (15/51). The sensitivity of B kit to test total antibodies to SARS-CoV-2 was 63.46% (66/104), and the clinical specificity was 94.12% (48/51). The clinical sensitivity of C kit to detect SARS-CoV-2-specific IgM and IgG were respectively 31.73% (33/104) and 64.42% (67/104), and the clinical specificity were both 98.04% (50/51). There was a moderate correlation between the detection results of two colloidal gold kits and the chemiluminescence kit with the Kappa values of 0.462 and 0.587 ( Z=6.157, P<0.01; Z=7.345, P<0.01). C kit had the highest positive detection rate for IgG, and would be more reliable to be used for IgG detection in COVID-19 patients 14 d after onset. The total positive detection rate of nucleic acid in all types of samples was 63.46% (66/104). The highest positive detection rate was in throat swabs or sputum samples, followed by those in blood samples and anal swabs. No viral nucleic acid was detected in urine samples for the time being. Conclusions:SARS-CoV-2-specific antibodies could be detected in the early or late stage of COVID-19. The method of antibody detection has the advantages of shorter detection time, simple operation and high biological safety, indicating that it could be used as a supplementary or auxiliary detection for the diagnosis of suspected COVID-19 cases with negative nucleic acid test results. The chemiluminescence kit has good sensitivity and specificity, and is well recommended for clinical laboratories.

Objective:Based on the perspective of supply and demand balance, to analyze the implementation effects of primary-feature medical services measures in medical alliances.Methods:From July to September 2019, two regions with different levels of economic development were chosen, and from each region one leading hospital and two community health service centers/township hospitals were selected from its medical alliance. A total of 213 medical staff and 703 residents were surveyed, to learn their awareness and performance appraisal of these feature services.Frequency and proportion were calculated in a descriptive statistical analysis. The scores of the performance appraisal of both supply and demand sides were tested by independent sample t. Results:In the performance appraisal of such measures, the average scoring by medical staff was 4.39±0.07, and that by residents was 3.85±0.06; the residents were more concerned with service capabilities and contents, while medical staff were more concerned with service content and delivery mode; supply and demand sides were found with consensus in terms of improving the medical service quality of chronic diseases in primary level and service accessibility.Conclusions:The county-level medical alliances should focus on enhancing their capacity of primary medical services, and improving their primary service mode with the help of medical insurance institutions. Meanwhile, it is imperative to optimize the primary medical service policy in view of supply and demand balance.

Objective:To investigate the epidemiological characteristics and late diagnosis of suspected occupational diseases in Guangzhou from 2006 to 2018.Methods:The cases of suspected occupational diseases reported in Guangzhou from January 1, 2006 to December 31, 2018 were collected and followed up to the end of 2018. The cases of suspected occupational diseases were analyzed statistically.Results:A total of 1502 suspected occupational cases were reported in Guangzhou from 2006 to 2018, including suspected occupational otorhinolaryngological and oral diseases (58.59%, 880/1502) , suspected occupational chronic poisoning (25.03%, 376/1502) and suspected occupational pneumoconiosis (11.72%, 176/1502) . The key reporting areas were Huangpu District (27.50%, 413/1502) and Panyu District (20.91%, 314/1502) . The key reporting industries were manufacturing industry (80.36%, 1207/1502) , among which railway, ship, aerospace and other transportation equipment manufacturing industry (13.26%, 160/1207) , automobile manufacturing industry (12.51%, 151/1207) and general equipment manufacturing industry (10.19%, 123/1207) were the main industries. The main type of reported economy was private economy (39.95%, 600/1502) . The scale of the key reporting enterprises was medium and small-sized enterprises (31.09%, 467/1502 and 34.62%, 520/1502) . As of December 31, 2018, 263 cases were diagnosed with occupational diseases, and the diagnosis rate was 17.51%.Conclusion:The number of suspected occupational diseases reported in Guangzhou from 2006 to 2018 is large, and the overall diagnosis rate of suspected occupational diseases is low. It is necessary to strengthen the supervision and management of key diseases, key regions, and key industries of suspected occupational diseases. It is suggested that the reporting system of suspected occupational diseases should be standardized as soon as possible.

Objective:To investigate the epidemiological characteristics and late diagnosis of suspected occupational diseases in Guangzhou from 2006 to 2018.Methods:The cases of suspected occupational diseases reported in Guangzhou from January 1, 2006 to December 31, 2018 were collected and followed up to the end of 2018. The cases of suspected occupational diseases were analyzed statistically.Results:A total of 1502 suspected occupational cases were reported in Guangzhou from 2006 to 2018, including suspected occupational otorhinolaryngological and oral diseases (58.59%, 880/1502) , suspected occupational chronic poisoning (25.03%, 376/1502) and suspected occupational pneumoconiosis (11.72%, 176/1502) . The key reporting areas were Huangpu District (27.50%, 413/1502) and Panyu District (20.91%, 314/1502) . The key reporting industries were manufacturing industry (80.36%, 1207/1502) , among which railway, ship, aerospace and other transportation equipment manufacturing industry (13.26%, 160/1207) , automobile manufacturing industry (12.51%, 151/1207) and general equipment manufacturing industry (10.19%, 123/1207) were the main industries. The main type of reported economy was private economy (39.95%, 600/1502) . The scale of the key reporting enterprises was medium and small-sized enterprises (31.09%, 467/1502 and 34.62%, 520/1502) . As of December 31, 2018, 263 cases were diagnosed with occupational diseases, and the diagnosis rate was 17.51%.Conclusion:The number of suspected occupational diseases reported in Guangzhou from 2006 to 2018 is large, and the overall diagnosis rate of suspected occupational diseases is low. It is necessary to strengthen the supervision and management of key diseases, key regions, and key industries of suspected occupational diseases. It is suggested that the reporting system of suspected occupational diseases should be standardized as soon as possible.