Dental implantology has developed rapidly for over half a century,since pure titanium(99.7％)dental cylindrical threaded implants were exploited and osseointegration was introduced in 1960s by Prof.Br?nemark.The long term retention rates of 10 years or more are over 95％.However,the biological complications jeopardize the long term effects of dental implant treatment seriously.The prevalence of dental implant biological complications varies greatly among different reports resulting from the disparities on the defini-tions of dental implant biological complications.After analyzing and summarizing the major opinions proposed internationally in recent years,the consensus for the definition of dental implant biological complications has been reached.Generally the dental implant biologi-cal implications can be classified into early stage(before restoration)biological complications and late stage(after restoration)biological complications.The early stage biological complications include acute and chronic infections,pain,soft tissue deficiency,and osseointegration failure,etc.The late stage complications include peri-implant diseases(peri-implant mucositis and peri-implantitis),soft tissue deficiency around implant,implant loosening and dropping off,etc.The various risk factors related to different dental implant biological complications,the strategies of the prevention and treatment for the dental implant biological complications have been discussed comprehensively,and the consensus has been reached.It is aimed to advocate the dentist to pay more attention to the early prevention of the biological implant complications,to promote more researches on the implant biological complications,and to help elevate the level of dental implantology in our country.

OBJECTIVE To explore the application of autoregressive integrated moving average model(ARIMA)in prediction of prevalence trends of carbapenem-resistant Klebsiella pneumoniae(CRKP)in intensive care unit(ICU)so as to provide scientific bases for formulating prevention strategies for CRKP infection in ICU.METHODS The number of CRKP strains that were monthly isolated from the ICU patients of Jiangnan University Affiliated Hospital between Jan.2021 and Jan.2024 was collected,the duplicate samples from the same patient were excluded,and totally 555 strains of CRKP were finally enrolled in the study.The time series differencing was performed by using R statistical software,the ARIMA model was established,the parameters of the model were determined by means of autocorrelation function(ACF)and partial autocorrelation function(PACF)images.The optimal model was screened out by Akaike information criterion(AIC)and root-mean-square error(RMSD),the robustness of the residual sequences was assessed by Box-Ljung test.The data that were detected from Sep.2023 to Jan.2024 were assigned as the validation set,the prediction accuracy of the model was assessed,and the dy-namic trend of the CRKP strains from Feb.2024 to Apr.2024 was predicted.RESULTS The isolation rate of CRKP strains in ICU showed dynamic change from 2021 to 2023(x2=66.906,P=0.001),sputum and midstream urine were the major sources.The minimal AIC of the optimal ARIMA model(8,1,10)was 222.1,with RMSE 3.67.Box-Ljung(x2=0.104,P=0.746)test indicated that there was no autocorrelation among the residual se-quences.Both the actual CRKP and the predictive value firstly rose then descended from Sep.2023 to Jan.2024,and the average relative error of the model was 9.62％for prediction.The number of isolated CRKP strains predic-ted by the model might reached to the lowest point in Feb.2024 and then showed an upward trend,and it might reach to a high peak in Apr.CONCLUSION ARIMA model is effective for short-term prediction and dynamic anal-ysis of prevalence trend of CRKP strains in the ICU so as to provide theoretical basis for early warning of hospital-associated infection and take corresponding prevention measures.

Objective To observe the effect of RAW264.7 cells on calcium sparks in a insulin resistance model of C2C12 cells induced by sodium palmitate.Methods C2C12 cells and RAW264.7 cells were co-cultured to simulate the in vivo state of skeletal muscle.C2C12 cells were cultured in high-glucose medium containing 2%horse serum to induce differentiation into mature myotubes,and then divided into 5 groups:control(RAW264.7 cells),co-culture of C2C12 with RAW264.7,C2C12 alone,co-culture of C2C12 with RAW264.7 plus sodium palmitate(PA),and C2C12 alone with PA.PA of 5 mmol/L was used to induce insulin resistance in C2C12 cells for 24 hours.Revived and expanded RAW264.7 cells were evenly added to C2C12 cells and co-cultured for two days.Subsequently,cells were maintained in modified suspension culture,and both cell types were loaded with the calcium ion fluorescent probe Fluo-4 AM.Finally,Paraxanthine was used to induce intracellular calcium sparks,which was captured and recorded under a laser confocal microscope.Results No significant calcium signal change was observed in the control group.Co-cultured C2C12 cells exhibited rapid and pronounced calcium signal changes,whereas calcium signals in C2C12 cells cultured alone increased slowly throughout the observation period without a sharp decline.The peak calcium signal was reached significantly faster in co-cultured C2C12 cells than that in C2C12 cells cultured alone(P<0.001).With PA induction,calcium signal changes in C2C12 cells were not markedly altered,while distinct calcium fluctuations were still observed in co-cultured C2C12 cells,and the peak calcium signal was reached significantly faster in co-cultured C2C12 cells than that in C2C12 cells cultured alone(P<0.001).Conclusion RAW264.7 cells enhance the dynamic responsiveness of calcium signaling in both normal and PA-stimulated C2C12 cells.

Dental implantology has developed rapidly for over half a century,since pure titanium(99.7％)dental cylindrical threaded implants were exploited and osseointegration was introduced in 1960s by Prof.Br?nemark.The long term retention rates of 10 years or more are over 95％.However,the biological complications jeopardize the long term effects of dental implant treatment seriously.The prevalence of dental implant biological complications varies greatly among different reports resulting from the disparities on the defini-tions of dental implant biological complications.After analyzing and summarizing the major opinions proposed internationally in recent years,the consensus for the definition of dental implant biological complications has been reached.Generally the dental implant biologi-cal implications can be classified into early stage(before restoration)biological complications and late stage(after restoration)biological complications.The early stage biological complications include acute and chronic infections,pain,soft tissue deficiency,and osseointegration failure,etc.The late stage complications include peri-implant diseases(peri-implant mucositis and peri-implantitis),soft tissue deficiency around implant,implant loosening and dropping off,etc.The various risk factors related to different dental implant biological complications,the strategies of the prevention and treatment for the dental implant biological complications have been discussed comprehensively,and the consensus has been reached.It is aimed to advocate the dentist to pay more attention to the early prevention of the biological implant complications,to promote more researches on the implant biological complications,and to help elevate the level of dental implantology in our country.

Objective:To analyze the association of sedentary time and physical activity with the risk of developing chronic obstructive pulmonary disease (COPD) in non-smoking women aged 40 years and above in Songjiang District, Shanghai.Methods:Based on a natural population-based cohort in Songjiang, a total of 18 707 non-smoking women who were aged 40 years and above and without COPD at baseline survey were enrolled in the study. Cox proportional risk regression model was used to analyze the associations of the duration of sedentary behavior, physical activity with the risk for COPD at baseline survey, and the hazard ratio ( HR) of risk for COPD and its 95% CI were calculated. Stratified analyses were performed based on age, BMI, history of respiratory diseases and so on. Sensitivity analyses were conducted by excluding the cases diagnosed with COPD within one year after the baseline survey. Results:As of March 31, 2024, a total of 691 new COPD cases had been recorded after a median follow-up time of 6.96 years with an incidence density of 53.22 per 10 000 person-years. After adjusting for relevant confounders, in the tertile subgroups of sedentary time, the risk for COPD reduced by 17% in the short sedentary time group compared with the long sedentary time group ( HR=0.83,95% CI:0.70-0.99). Compared with the low physical activity level and long sedentary time group, the risk for COPD reduced by 24% in the high physical activity level and short sedentary time group ( HR=0.76, 95% CI: 0.61-0.95) and by 23% in the low physical activity level and short sedentary time group ( HR=0.77, 95% CI: 0.60-0.97). Compared with the non-physical exercise and long sedentary time group, the risk for COPD reduced by 28% in the non-physical exercise and short sedentary time group ( HR=0.72, 95% CI: 0.60-0.87). These associations remained when the cases diagnosed with COPD within one year of the baseline survey were excluded. Conclusions:Increasing physical activity and reducing sedentary time have beneficial effects to prevent COPD in non-smoking women, and reducing sedentary time alone may also reduce the risk for COPD if increasing physical exercise or other physical activity is not possible.

OBJECTIVE To investigate the distribution of Candida and predict the detection trend in the southern and northern campuses of Affiliated Hospital of Jiangnan University,Wuxi,between 2021 and 2024.METHODS A total of 27 056 patients with common Candida infections from the southern and northern campuses of Affiliated Hospital of Jiangnan University between 2021 and 2024 were selected to analyze the distribution of Candida species and predict the detection trend.RESULTS Among the 27 056 patients,there were 11 061 males and 15 995 fe-males,aged from 1 to 101 years,with a median age of 68 years.Over the past four years,the top five most com-monly detected Candida species in the hospital were Candida albicans,Candida glabrata,Candida tropicalis,Candida parapsilosis and Candida krusei.Statistically significant differences were found in infection characteris-tics among patients with C.albicans and C.glabrata in terms of gender,age,specimen source and related diseases(P＜0.05).From 2021 to 2024,the number of detected cases declined in 2022 and then rebounded(P＜0.001).Among the detected patients,those aged 70 and above accounted for the highest proportion.Regarding the distribution of specific diseases,the top three were vaginitis(4 176 cases,15.43％),bacterial pneumonia(1 842 cases,6.81％)and cancer(1 279 cases,4.73％).Patients with vaginitis were mainly infected with C.albicans,while patients with bacterial pneumonia were predominantly infected with C.albicans and C.glabrata.The LSTM model showed a good fit to the training set,with an root-mean-square error(RMSE)of 145.03 and an mean absolute error(MAE)of 131.19.Model predictions indicated that the number of patients with Candida in-fections in the hospital would remain low from Jan.to May 2025,which was basically consistent with actual clini-cal observations(RMSE=94.71,MAE=84.00).CONCLUSIONS The common diseases associated with Candi-da infections in the hospital include vaginitis,bacterial pneumonia and cancer.C.albicans and C.glabrata are the main pathogenic species,and the infection situation is relatively severe.The LSTM model performs well in short-term prediction and dynamic analysis of Candida detection trends.

Objective To observe the effect of RAW264.7 cells on calcium sparks in a insulin resistance model of C2C12 cells induced by sodium palmitate.Methods C2C12 cells and RAW264.7 cells were co-cultured to simulate the in vivo state of skeletal muscle.C2C12 cells were cultured in high-glucose medium containing 2%horse serum to induce differentiation into mature myotubes,and then divided into 5 groups:control(RAW264.7 cells),co-culture of C2C12 with RAW264.7,C2C12 alone,co-culture of C2C12 with RAW264.7 plus sodium palmitate(PA),and C2C12 alone with PA.PA of 5 mmol/L was used to induce insulin resistance in C2C12 cells for 24 hours.Revived and expanded RAW264.7 cells were evenly added to C2C12 cells and co-cultured for two days.Subsequently,cells were maintained in modified suspension culture,and both cell types were loaded with the calcium ion fluorescent probe Fluo-4 AM.Finally,Paraxanthine was used to induce intracellular calcium sparks,which was captured and recorded under a laser confocal microscope.Results No significant calcium signal change was observed in the control group.Co-cultured C2C12 cells exhibited rapid and pronounced calcium signal changes,whereas calcium signals in C2C12 cells cultured alone increased slowly throughout the observation period without a sharp decline.The peak calcium signal was reached significantly faster in co-cultured C2C12 cells than that in C2C12 cells cultured alone(P<0.001).With PA induction,calcium signal changes in C2C12 cells were not markedly altered,while distinct calcium fluctuations were still observed in co-cultured C2C12 cells,and the peak calcium signal was reached significantly faster in co-cultured C2C12 cells than that in C2C12 cells cultured alone(P<0.001).Conclusion RAW264.7 cells enhance the dynamic responsiveness of calcium signaling in both normal and PA-stimulated C2C12 cells.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

OBJECTIVE: This study reports the first imported case of Lassa fever (LF) in China. Laboratory detection and molecular epidemiological analysis of the Lassa virus (LASV) from this case offer valuable insights for the prevention and control of LF. METHODS: Samples of cerebrospinal fluid (CSF), blood, urine, saliva, and environmental materials were collected from the patient and their close contacts for LASV nucleotide detection. Whole-genome sequencing was performed on positive samples to analyze the genetic characteristics of the virus. RESULTS: LASV was detected in the patient's CSF, blood, and urine, while all samples from close contacts and the environment tested negative. The virus belongs to the lineage IV strain and shares the highest homology with strains from Sierra Leone. The variability in the glycoprotein complex (GPC) among different strains ranged from 3.9% to 15.1%, higher than previously reported for the seven known lineages. Amino acid mutation analysis revealed multiple mutations within the GPC immunogenic epitopes, increasing strain diversity and potentially impacting immune response. CONCLUSION The case was confirmed through nucleotide detection, with no evidence of secondary transmission or viral spread. The LASV strain identified belongs to lineage IV, with broader GPC variability than previously reported. Mutations in the immune-related sites of GPC may affect immune responses, necessitating heightened vigilance regarding the virus.
Humans ; China/epidemiology* ; Genome, Viral ; Lassa Fever/virology* ; Lassa virus/classification* ; Molecular Epidemiology ; Phylogeny

OBJECTIVE: Cancer remains a significant global health challenge, necessitating the development of effective treatment approaches. Developing synergistic therapy can provide a highly promising strategy for anti-cancer treatment through combining the benefits of various mechanisms. METHODS: In this study, we developed a synergistic strategy for chemo-photothermal therapy by constructing nanocomposites using gold nanorods (GNRs) and tetrahedral framework nucleic acids (tFNA) loaded with the anti-tumor drug doxorubicin (DOX). RESULTS: Our in vitro studies have systematically clarified the anti-cancer behaviors of tFNA-DOX@GNR nanocomposites, characterized by their enhanced cellular uptake and proficient lysosomal escape capabilities. It was found that the key role of tFNA-DOX@GNR nanocomposites in tumor ablation is primarily due to their capacity to induce cytotoxicity in tumor cells via a photothermal effect, which generates instantaneous high temperatures. This mechanism introduces various responses in tumor cells, facilitated by the thermal effect and the integrated chemotherapeutic action of DOX. These reactions include the induction of endoplasmic reticulum stress, characterized by elevated reactive oxygen species levels, the promotion of apoptotic cell death, and the suppression of tumor cell proliferation. CONCLUSION This work exhibits the potential of synergistic therapy utilizing nanocomposites for cancer treatment and offers a promising avenue for future therapeutic strategies.
Doxorubicin/chemistry* ; Gold/chemistry* ; Nanotubes/chemistry* ; Humans ; Nanocomposites/chemistry* ; Cell Line, Tumor ; Nucleic Acids/chemistry* ; Antibiotics, Antineoplastic/pharmacology* ; Antineoplastic Agents/administration & dosage*