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

Endo-periodontal lesions(EPLs)involve both the periodontium and pulp tissue and have complicated etiologies and pathogenic mechanisms,including unique anatomical and microbiological characteristics and multiple contributing factors.This etiological complexity leads to difficulties in determining patient prognosis,posing great challenges in clinical practice.Furthermore,EPL-affected teeth require multidisciplinary therapy,including periodontal therapy,endodontic therapy and others,but there is still much debate about the appropriate timing of periodontal therapy and root canal therapy.By compiling the most recent findings on the etiology,pathogenesis,clinical characteristics,diagnosis,therapy,and prognosis of EPL-affected teeth,this consensus sought to support clinicians in making the best possible treatment decisions based on both biological and clinical evidence.

Objective: To investigate the characteristics of schizophrenic patients using long-acting antipsychotic medications, so as to provide the basis for applicable population of long-acting antipsychotic medications. Methods: Data of schizophrenic patients using long-acting antipsychotic medications in Shanghai City from June 2020 to June 2022 were collected through Shanghai Mental Health Information Management System, and demographic characteristics, illness and medication use of patients were descriptively analyzed. Results: A total of 2 684 schizophrenic patients using long-acting antipsychotic medications were included in the study, had a mean age of (46.92±12.39) years, with 1 246 males (46.42%) and 1 438 females (53.58%). There were 1 397 unemployed cases, accounting for 52.05%; 1 429 cases with an educational level in junior high school or below, accounting for 53.24%; 1 301 unmarried cases, accounting for 48.47%; 832 cases in poverty, accounting for 31.00%. The caregivers of patients were mainly their parents, with 1 507 cases accounting for 56.15%. The courses of illness were mainly ≤10 years and >10-20 years, with 860 cases each, both accounting for 32.04%; 1 963 cases with incomplete self-awareness, accounting for 73.14%; 1 570 cases hospitalized at least once, accounting for 58.49%. There were 2 486 cases with continuous medication, accounting for 92.62%. The main method of taking medication was given by others, with 1 947 cases accounting for 72.54%. The medication adherence was mainly taking medication on time and in the right amount, with 2 437 cases accounting for 90.80%. Conclusion The main characteristics of schizophrenic patients using long-acting antipsychotic medications are young, unmarried, and unemployed adults, with incomplete self-awareness, continuous medication and medication given by others.

Objective:To evaluate the safety and efficiency of China-made Toumai Robot-assisted laparoscopic radical prosta-tectomy(LRP).Methods:This study included 40 cases of PCa treated from January 2023 to May 2023 by robot-assisted LRP with preservation of the bladder neck and maximal functional urethral length,15 cases with the assistance of Toumai Robot(the TMR group)and the other 25 with the assistance of da Vinci Robot as controls(the DVR group).We recorded the docking time,laparo-scopic surgery time,vesico-urethral anastomosis time,intraoperative blood loss and postoperative urinary continence,and compared them between the two groups.Results:Operations were successfully completed in all the cases.No statistically significant differ-ences were observed between the TMR and DVR groups in the docking time(6 min vs 5 min,P＞0.05)or intraoperative blood loss(200 ml vs 150 ml,P＞0.05).The TMR group,compared with the DVR group,showed a significantly longer median laparoscopic surgery time(146 min vs 130 min,P＜0.05)and median vesico-urethral anastomosis time(19 min vs 16 min,P＜0.05).There were no statistically significant differences between the TMR and DVR groups in the rates of urinary continence recovery immediately af-ter surgery(60.0％[9/15]vs 64.0％[16/25],P＞0.05)or at 1 month(80.0％[12/15])vs(76.0％[19/25],P＞0.05),3 months(93.3％[14/15])vs(92.0％[23/25],P＞0.05)and 6 months postoperatively(100％[15/15])vs(96％[24/25],P＞0.05).Conclusion:China-made Toumai? Robot surgical system is safe and reliable for laparoscopic radical prosta-tectomy,with satisfactory postoperative recovery of urinary continence.

Objective: To establish a rapid and specific quantitative real-time PCR (qPCR) method for the detection of SARS-CoV-2 subgenomic nucleocapsid RNA (SgN) in patients with COVID-19 or environmental samples. Methods: The qPCR assay was established by designing specific primers and TaqMan probe based on the SARS-CoV-2 genomic sequence in Global Initiative of Sharing All Influenza Data (GISAID) database. The reaction conditions were optimized by using different annealing temperature, different primers and probe concentrations and the standard curve was established. Further, the specificity, sensitivity and repeatability were also assessed. The established SgN and genomic RNA (gRNA) qPCR assays were both applied to detect 21 environmental samples and 351 clinical samples containing 48 recovered patients. In the specimens with both positive gRNA and positive SgN, 25 specimens were inoculated on cells. Results: The primers and probes of SgN had good specificity for SARS-CoV-2. The minimum detection limit of the preliminarily established qPCR detection method for SgN was 1.5×10² copies/ml, with a coefficient of variation less than 1%. The positive rate of gRNA in 372 samples was 97.04% (361/372). The positive rates of SgN in positive environmental samples and positive clinical samples were 36.84% (7/19) and 49.42% (169/342), respectively. The positive rate and copy number of SgN in Wild strain were lower than those of SARS-CoV-2 Delta strain. Among the 25 SgN positive samples, 12 samples within 5 days of sampling time were all isolated with virus; 13 samples sampled for more than 12 days had no cytopathic effect. Conclusion: A qPCR method for the detection of SARS-CoV-2 SgN has been successfully established. The sensitivity, specificity and repeatability of this method are good.
Humans ; SARS-CoV-2/genetics* ; COVID-19/diagnosis* ; Subgenomic RNA ; Real-Time Polymerase Chain Reaction/methods* ; RNA, Viral/genetics* ; Sensitivity and Specificity ; Nucleocapsid/chemistry* ; COVID-19 Testing

Objective:To explore the effect of significant variation in non-structural protein 1 (NSP1) of 2019 novel coronavirus (2019-nCoV) on binding to 5′UTR, and to provide clues for the development of antiviral drugs and vaccines.Methods:The bioinformatics analysis of 2019-nCoV genome database was conducted to select the amino acid variation sites (T12A, R124L, N128I, K141A, GHVMV82-86DEL and KSF141-143DEL) that may affect the structure of NSP1 and the ability binding to 5′UTR. PSIPRED online tool was used to analyze the secondary structure of the variants, mCSM-NA was used to predict their binding ability to RNA, and DynaMut webserver was used to analyze the influence of variants on protein stability. The variant plasmids were constructed and transfected into HEK-293T cells. The dual luciferase reporter gene assay and RNA binding protein immunoprecipitation (RIP) assay were used to detect the binding ability of the NSP1 variant for viral 5′UTR.Results:Bioinformatics analysis predicted that except for R124L mutation, the other five variants could change the secondary structure of protein, and the mutations of T12A, R124L, N128I and K141A could reduce the binding ability of RNA, while the mutations of T12A, R124L and N128I reduced the stability of protein. The experimental results showed that R124L, N128I, GHVMV82-86DEL and KSF141-143DEL significantly weakened the binding ability of NSP1 to 5′UTR.Conclusions:Some mutations or deletion of NSP1 amino acids could change the secondary structure and significantly weaken the binding ability of NSP1 to the 5′UTR, suggesting that the pathogenicity of the virus may be changed, which could provide a theoretical basis for the development of antiviral drugs and vaccines.

ObjectiveTo construct a neural network-like tissue with the potential of synaptic formation in vitro by seeding human induced pluripotent stem cell-derived neural precursor cells （hiPSC-NPCs） on decellularized optic nerve （DON）， so as to provide a promising approach for repair of nerve tissue injury. MethodsThrough directional induction and tissue engineering technology， human induced pluripotent stem cells （hiPSCs） and 3D DON scaffolds were combined to construct neural network-like tissues. Then the hiPSCs were directionally induced into human neural precursor cells （hNPCs） and neurons. Immunofluorescence staining was used to identify cell differentiation efficiency. 3D DON scaffolds were prepared. Morphology and cytocompatibility of scaffolds were identified by scanning electron microscopy and Tunnel staining. Induced hiPSC-NPCs were seeded on DON scaffolds. Immunofluorescence staining， scanning electron microscopy， transmission electron microscopy and patch clamp were used to observe the morphology and functional identification of constructed neural network tissues. Results①The results of immunofluorescence staining suggested that most of hiPSC-NPCs differentiated into neurons in vitro. We had successfully constructed a neural network dominated by neurons. ② The results of scanning electron microscopy and immunohistochemistry suggested that a neural network-like tissue with predominating excitatory neurons in vitro was successfully constructed. ③The results of immunohistochemical staining， transmission electron microscopy and patch clamp indicated that the neural network-like tissue had synaptic transmission function. ConclusionA neural network-like tissue mainly composed of excitatory neurons has been constructed by the combination of natural uniform-channel DON scaffold and hiPSC-NPCs， which has the function of synaptic transmission. This neural network plays a significant role in stem cell derived replacement therapy， and offers a promising prospect for repair of spinal cord injury （SCI） and other neural tissue injuries.

ObjectiveTo explore the effect of paliperidone palmitate treatment on schizophrenic patients in the community. Methods446 schizophrenic patients who used paliperidone palmitate injection were selected in Shanghai. Before and after the treatment， the disease family burden scale， the concise evaluation scale of drug treatment compliance， the VAS100 score of treatment satisfaction， the short form of quality of life measurement scale， and the screening scale of social function defects were used to evaluate the effects of paliperidone palmitate injection. The data were statistically analyzed using SPSS 26.0 software. ResultsAfter using paliperidone palmitate injection， the total score of family burden （13.94±12.17）， the score of daily family activities （3.26±2.74）， the score of family entertainment activities （2.21±2.30）， and the score of family relationship （2.79±2.76） were significantly higher than those before the treatment （14.98±12.64， 3.51±2.88， 2.48±2.38， 3.11±2.87， respectively， all with P<0.05）. The scores of the World Health Organization on quality of life brief scale （62.89±11.94） and the medication compliance scale （28.11±5.64） were better than those before treatment （60.67±12.62 and 27.37±6.96， all with P<0.05）. Compared with the prior treatment without paliperidone palmitate injection， the number of readmissions after treatment was significantly reduced （P<0.01）. ConclusionThe treatment of paliperidone palmitate injection has significant effect， which can effectively reduce the disease family burden of Schizophrenic patients， improve their quality of life， enhance their drug compliance， reduce the readmission rate of patients， ensure long-term treatment effect and promote disease recovery.

Abstract OBJECTIVE To develop a vancomycin individualized dosing-assisted decision platform suitable for practical clinical application scenarios and provide individualized dosing recommendations for the rational use of vancomycin. METHODS Based on the vancomycin population pharmacokinetic model that had been constructed and verified to be feasible, the vancomycin individualized assisted decision-making platform was developed by using Idea2019, JDK1.8, ETL and other software tools. The platform development had gone through three main stages, included ①requirement analysis; ②design stage; ③software testing and optimization. RESULTS The vancomycin individualized assisted decision-making platform, which was successfully developed and applied, had the advantages of simple page, perfect function and convenient operation, and was divided into four main modules according to functions, namely retrieval module, information module, concentration prediction module and reporting module. The platform could connect to the hospital intranet platform to automatically obtain patient information, medication information and blood concentration test results, and calculate individual pharmacokinetic parameters for subsequent concentration prediction based on the embedded population pharmacokinetic model, combined with individual parameters. The concentration prediction module incorporated the Bayesian feedback method with patient medication information, drug concentration measurement results and relevant covariate parameter values, took the guideline-recommended trough concentration and AUC range as the target value, calculated the individualized drug administration scheme that met the target concentration range, and set up custom simulation functions considering the actual clinical application scenarios, which was of more popularization and application value. CONCLUSION Based on the vancomycin population pharmacokinetic model that has been successfully constructed in the previous stage, with the assistance of Idea2019, JDK1.8, ETL and other software tools, a vancomycin individualized dosing-assisted decision platform has successfully constructed, which can more efficiently and conveniently assist monitoring pharmacists to provide individualized dosing advice for clinical use of vancomycin.