Pigeon circovirus(PiCV)is globally widespread and is considered a potential cause of young pigeon sickness syndrome(YPDS),which leads to severe immunosuppression and high mortality.Due to the inability of PiCV to be cultured in cells,the development of traditional vac-cines is severely limited,and no effective vaccines is currently available.To develop a novel PiCV DNA candidate vaccine,we cloned the △Cap gene lacking a nuclear localization signal(NLS),and fused it at its C-terminus with the transmembrane and cytoplasmic regions of the Newcastle dis-ease virus(NDV)F protein(△Cap-TMCT).Two DNA vaccine candidates were constructed:pCAGG-△Cap,targeting intracellular expression,and pCAGG-△Capt,for cell surface expression,respectively.The results of indirect immunofluorescence and Western blot analyses confirmed suc-cessful expression of both recombinant plasmids in DF1 cells.Immunization studies in mice re-vealed that pCAGG-△Capt induced significantly higher levels of specific IgG antibodies,T-cell re-sponses,and cytokine secretion compared to pCAGG-△Cap,as assessed by ELISA,flow cytome-try,and ELISpot assays.These findings suggest that targeting △Cap-TMCT fusion protein to the cell surface can effectively enhance its immunogenicity,highlighting its potential as a PiCV DNA vaccine candidate.This study provides new strategies and theoretical foundations for the design and development of PiCV DNA vaccines.

Objective: To investigate the association between monocyte to high-density lipoprotein cholesterol ratio (MHR) and periodontitis and to provide new epidemiologic evidence on the factors affecting periodontitis. Methods: Data on MHR, periodontitis, and other covariates were selected from the NHANES(National Health and Nutrition Examination) database for 3 cycles of subjects in 2009-2010, 2011-2012, and 2013-2014, and a total of 8 456 study subjects were included. The study participants were grouped according to the prevalence of periodontitis (presence or absence), and three regression models (unadjusted covariates, partially adjusted covariates, and fully adjusted covariates) were constructed to analyze the relationship between MHR and periodontitis by using a weighted logistic regression method with stepwise adjustment for confounders. MHR was divided into four groups from Q1 to Q4 according to quartiles from small to large for weighted trend analysis, and the nonlinear relationship between MHR (continuous) and periodontitis was analyzed using a restricted cubic spline with subgroup analysis and sensitivity analysis. Results: All three logistic regression models showed a positive association between MHR and periodontitis (OR = 2.92, 95%CI: 2.14-3.99, P<0.001 (not adjusted); OR = 1.97, 95%CI: 1.39-2.78, P<0.001 (partially adjusted); OR = 1.62, 95%CI: 1.10-2.39, P = 0.017 (fully adjusted)). Trend analysis showed a significantly higher risk of developing periodontitis in the Q4 group compared with the Q1 group in both single (OR = 1.92, 95% CI: 1.58-2.33, P<0.001) and multifactorial analyses (OR = 1.30, 95% CI: 1.03-1.64, P = 0.029). Restricted cubic spline results did not support a nonlinear relationship between MHR and periodontitis (P for nonlinear>0.05), subgroup analysis showed no significant interaction between the covariates and MHR (P>0.05), and sensitivity analysis also showed a positive correlation between MHR and periodontitis (OR = 1.67, 95%CI: 1.31-2.14, P<0.001). Conclusion MHR is positively associated with the risk of developing periodontitis.

OBJECTIVES: Calcium silicate (CSO) is modified to give it photothermal antibacterial properties. Its application potential in tooth mineralization and oral antibacterial is evaluated. METHODS: Based on defect-engineering modification strategy, a series of CSO-T samples (CSO-300, CSO-400, CSO-500, CSO-600) was obtained by introducing oxygen vacancy into CSO through thermal reduction using sodium borohydride. The samples were tested using scanning electron microscopy (SEM), X-ray diffraction, X-ray photoelectron spectroscopy, ultraviolet near-infrared absorption spectroscopy, and infrared thermography. The powder samples with the best photothermal performance and the most suitable material concentration (CSO-500, 500 μg/mL) were selected for subsequent experiments. High resolution transmission electron microscopy was used to analyze the microstructure and morphology of the sample, and MTT assay and Calcein AM/PI live/dead cell staining were used to evaluate the toxicity and compatibility of the sample to human oral keratinocytes. Escherichia coli and Staphylococcus aureus were selected for photothermal antibacterial experiments to evaluate their in vitro antibacterial performance. SEM, energy dispersive spectrometer, and micro Vickers hardness tester were used to evaluate the ability of materials to induce in vitro remineralization of detached teeth. RESULTS: Oxygen vacancies changed the crystal type and lattice spacing of CaSiO₃, broadened the light-absorption range, and gave it a good photothermal conversion ability in response to near infrared. Invitro experiments showed that the modified CaSiO₃ could promote the formation of hydroxyapatite on the tooth surface, thereby promoting the remineralization of teeth and improving the teeth hardness. Moreover, it had photothermal antibacterial properties and no cytotoxicity. CONCLUSIONS Defect-modified black calcium silicate has multiple functions, such as promoting tooth remineralization and photothermal bacteriostatic. When combined with the infrared luminescent toothbrush, it can simply and effectively treat tooth enamel erosion and oral bacteriostatic diseases caused by the excessive consumption of carbonated beverages and other daily bad living habits. This combination is expected to achieve the synergic treatment effect of tooth remineralization and oral bacteriostatic through daily cleaning is expected.
Calcium Compounds/pharmacology* ; Silicates/pharmacology* ; Humans ; Staphylococcus aureus/drug effects* ; Tooth Remineralization ; Escherichia coli/drug effects* ; Anti-Bacterial Agents/pharmacology* ; Keratinocytes/drug effects* ; Microscopy, Electron, Scanning

Application of invisible orthodontic appliances in the treatment of adult skeletal malocclusions,especially in the cases requiring tooth extraction,has always been one of the challenges in invisible orthodontic technology.Our department received a 30-year-old female patient in March 2019;the patient presented with complaints of"crooked teeth and protruding mouth,"seeking orthodontic treatment to improve her facial profile.The patient had bilateral distal molar relationship,proclined maxillary and mandibular anterior teeth,and deep overjet;radiographic examination revealed an ANB angle of 6.2°,indicating a skeletal Class Ⅱ malocclusion.By extracting four first premolars and using four miniscrews,after 20 months of treatment,the extraction spaces were fully closed,the dental arch was aligned,and the occlusal relationship was favorable;the anterior teeth were retracted,the mandible showed a reverse rotation,and the soft tissue profile was significantly improved.Application of invisible orthodontic appliances in conjunction with miniscrews anchorage can achieve good three-dimensional control of tooth movement in adult extraction cases,providing a reference for clinical practitioners treating such patients.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Pigeon circovirus(PiCV)is globally widespread and is considered a potential cause of young pigeon sickness syndrome(YPDS),which leads to severe immunosuppression and high mortality.Due to the inability of PiCV to be cultured in cells,the development of traditional vac-cines is severely limited,and no effective vaccines is currently available.To develop a novel PiCV DNA candidate vaccine,we cloned the △Cap gene lacking a nuclear localization signal(NLS),and fused it at its C-terminus with the transmembrane and cytoplasmic regions of the Newcastle dis-ease virus(NDV)F protein(△Cap-TMCT).Two DNA vaccine candidates were constructed:pCAGG-△Cap,targeting intracellular expression,and pCAGG-△Capt,for cell surface expression,respectively.The results of indirect immunofluorescence and Western blot analyses confirmed suc-cessful expression of both recombinant plasmids in DF1 cells.Immunization studies in mice re-vealed that pCAGG-△Capt induced significantly higher levels of specific IgG antibodies,T-cell re-sponses,and cytokine secretion compared to pCAGG-△Cap,as assessed by ELISA,flow cytome-try,and ELISpot assays.These findings suggest that targeting △Cap-TMCT fusion protein to the cell surface can effectively enhance its immunogenicity,highlighting its potential as a PiCV DNA vaccine candidate.This study provides new strategies and theoretical foundations for the design and development of PiCV DNA vaccines.

Cleidocranial dysplasia(CCD)is a rare autosomal dominant disorder mainly characterized by skeletal and dental abnormali-ties.It is caused by the runt-related transcription factor-2(Runx2)mutations.In this paper,a case of CCD syndrome is reported.The proband and his family were examined by the proband's verification method for general condition,oral specialty and genetic examination.A new nonsense mutation exon7 c.1078C＞T,p.Gln360*heterozygous variant(Q360X)was verified,the relationship between Runx2 mutation and CCD phenotype was analyzed.

Cleidocranial dysplasia(CCD)is a rare autosomal dominant disorder mainly characterized by skeletal and dental abnormali-ties.It is caused by the runt-related transcription factor-2(Runx2)mutations.In this paper,a case of CCD syndrome is reported.The proband and his family were examined by the proband's verification method for general condition,oral specialty and genetic examination.A new nonsense mutation exon7 c.1078C＞T,p.Gln360*heterozygous variant(Q360X)was verified,the relationship between Runx2 mutation and CCD phenotype was analyzed.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Objective To evaluate the clinical efficacy of invisible orthodontic appliances without brackets for the distal movement of maxillary molars to improve the ability of orthodontists to predict treatment outcomes.Methods Web of Science,Cochrane Library,Embase,PubMed,Wanfang Database,CNKI Database,and VIP Database were searched for studies investigating the efficacy of invisible orthodontic appliances for distal movement of maxillary molars in adult patients and published from database inception to August 1,2023.A total of three researchers screened the studies and evaluated their quality and conducted a meta-analysis of those that met quality standards.Results This study included 13 pre-and postcontrol trials with a total sample size of 281 patients.The meta-analysis revealed no sig-nificant differences in the sagittal or vertical parameters of the jawbone after treatment when compared with those before treatment(P＞0.05).The displacement of the first molar was MD=-2.34,95％CI(-2.83,-1.85);the displacement was MD=-0.95,95％CI(-1.34,-0.56);and the inclination was MD=-2.51,95％CI(-3.56,-1.46).There was a statistically significant difference in the change in sagittal,vertical,and axial tilt of the first molar before and after treatment.After treatment,the average adduction distance of the incisors was MD=-0.82,95％CI(-1.54,-0.09),and the decrease in lip inclination was MD=-1.61,95％CI(-2.86,-0.36);these values were significantly different from those before treat-ment(P＜0.05).Conclusion Invisible orthodontic appliances can effectively move the upper molars in a distal direc-tion and control the vertical position of the molars.When the molars move further away,there is some degree of com-pression and distal tilt movement,which is beneficial for patients with high angles.The sagittal movement of incisors is beneficial for improving the patient's profile.