Objective In clinical follow-up studies,it is the most common method to quantify treatment differences between groups using a hazard ratio(HR).Moreover,restricted mean survival time(RMST)has attracted more and more attention.However,the current statistical inference method based on RMST is mainly used for the comparison between two groups.Methods In this paper,three RMST tests between multiple groups are proposed,including naive,logarithmic transformation and complementary logarithmic transformation.Monte Carlo simulations were performed to evaluate the type I error and power,and a case study was performed.Results Based on the type I errors obtained by Monte Carlo simulation and the test performance results,it is shown that the proposed RMST test can deal with the problem of multiple sets of comparisons,especially the complementary logarithmic transformation method is the most robust.Conclusions For the multi-group comparison of survival data,if the time scale index is considered,the RMST multi-group test by the complementary logarithmic transformation method is recommended.

Objective:To construct preeclampsia (PE) prediction models using information from the hospital electronic medical information and clinical laboratory data through logistic regression (LR) and machine learning algorithms, and to compare their predictive performance.Methods:The study was conducted based on the information from Rouji Pregnancy Test Database and the perinatal data of women who visited the Third Affiliated Hospital of Guangzhou Medical University from January 1, 2012, to December 31, 2019. Drawing upon clinical treatment guidelines and related literature, 28 clinical indicators from 2 736 pregnant women at 24 to 28 weeks of gestation were selected after a thorough integration and used for the construction of the PE prediction model dataset. Patients diagnosed with PE comprised the PE group ( n=245), while another 255 cases from the rest who did not have PE were selected, with undersampling method, as the control group. The Random Forest algorithm (RF), eXtreme Gradient Boosting (XGB) algorithm, and LR model were each employed to develop predictive models for PE. Following the construction of the models, external validation of PE prediction accuracy was carried out using data acquired from an independent prospective cohort study on PE that was conducted from June 2019 to December 2022, in which 38 PE cases and 80 controls were chosen. The performance of predictive models were evaluated using metrics such as accuracy, sensitivity, specificity, and the area under the curve (AUC) of receiver operating characteristic. Results:Indicators included in the construction of the three predictive models suggested that uric acid, creatinine, maternal age, early pregnancy body mass index, urea, triglycerides, red blood cell count, eosinophil count, total cholesterol, neutrophil count, urine protein, alanine aminotransferase, and urine occult blood were influential in PE prediction models. The AUCs for RF, XGB, and LR models in the training and test sets were 0.851 (95% CI:0.730-0.891), 0.955 (95% CI:0.865-0.987), 0.884 (95% CI:0.767-0.923) vs. 0.845 (95% CI:0.723-0.868), 0.907 (95% CI:0.791-0.919), 0.851 (95% CI:0.755-0.893), respectively. In the test set, the accuracy, sensitivity, and specificity for RF, XGB, and LR models were 0.803, 0.607, 0.958, 0.864, 0.790, 0.927, and 0.832, 0.661, 0.971, respectively. In the external validation of the RF, XGB and LR predictive models, the accuracy were 0.822, 0.814, and 0.763; the sensitivity were 0.737, 0.789, and 0.605, and the specificity were 0.863, 0.825, and 0.838, respectively. Among them, XGB model showed the highest Youden's index (0.614). Conclusion:Compared to traditional methods of model construction, machine learning algorithms can establish more effective PE prediction models using real clinical data.

Oral diseases, such as periodontitis, salivary gland diseases, and oral cancers, significantly challenge health conditions due to their detrimental effects on patient's digestive functions, pronunciation, and esthetic demands. Delayed diagnosis and non-targeted treatment profoundly influence patients' prognosis and quality of life. The exploration of innovative approaches for early detection and precise treatment represents a promising frontier in oral medicine. Exosomes, which are characterized as nanometer-sized extracellular vesicles, are secreted by virtually all types of cells. As the research continues, the complex roles of these intracellular-derived extracellular vesicles in biological processes have gradually unfolded. Exosomes have attracted attention as valuable diagnostic and therapeutic tools for their ability to transfer abundant biological cargos and their intricate involvement in multiple cellular functions. In this review, we provide an overview of the recent applications of exosomes within the field of oral diseases, focusing on inflammation-related bone diseases and oral squamous cell carcinomas. We characterize the exosome alterations and demonstrate their potential applications as biomarkers for early diagnosis, highlighting their roles as indicators in multiple oral diseases. We also summarize the promising applications of exosomes in targeted therapy and proposed future directions for the use of exosomes in clinical treatment.
Humans ; Exosomes ; Quality of Life ; Extracellular Vesicles ; Biomarkers ; Cell Communication ; Mouth Neoplasms

BACKGROUND:Clinical studies have found good analgesic effects of silver needle-thermal conduction therapy in patients with myofascial pain syndrome,but the exact mechanism remains unclear. OBJECTIVE:To observe the effect of silver needle-thermal conduction therapy on silent information regulator homolog 3(SIRT3)changes and mitochondrial ultrastructure in a rat model of myofascial pain syndrome. METHODS:Twenty rats were randomly selected from 26 Sprague-Dawley rats and were subjected to percussion combined with motor fatigue for replicating the rat model of myofascial pain syndrome.Sixteen rats that were successfully modeled were randomly divided into model group and silver needle-thermal conduction therapy group(treatment group),with eight rats in each group.The remaining rats were used as controls(normal group).The treatment group was treated with silver needle-thermal conduction therapy.Mechanical withdrawal threshold and thermal withdrawal latency of rats were measured at 1 day before modeling,1 day after modeling and 14 days after treatment.Electromyographic activities of the right medial femoral muscle were measured at 14 days after treatment.The right medial femoral muscle tissue was taken for hematoxylin-eosin staining to observe the local morphology and for transmission electron microscopy to observe the mitochondrial ultrastructure.Western blot assay was performed to detect SIRT3 expression. RESULTS AND CONCLUSION:Pain threshold:The mechanical withdrawal threshold and thermal withdrawal latency of the model and treatment groups were significantly decreased compared with those in the normal group and before modeling(P＜0.01).After treatment,the mechanical withdrawal threshold and thermal withdrawal latency of rats were significantly higher in the treatment group compared with the model group(P＜0.01).Electromyography:The rats in the model group showed spontaneous electrical activity in the right medial femur,while the rats in the treatment group showed reduced spontaneous electrical activity,longer time frame(P＜0.01)and lower wave amplitude(P＜0.05)compared with the model group.Hematoxylin-eosin staining:In the normal group,rat muscle fibers arranged closely and regularly.In the model group,the muscle fibers of rats were atrophied,degenerated,and disordered in arrangement.In the treatment group,rat muscle structure disorder improved.Mitochondrial microstructure:Under the transmission electron microscope,mitochondrial structure in the normal group was normal;mitochondrial swelling with broken or disappeared cristae appeared in the model group;mitochondrial swelling in the treatment group was obviously relieved or tended to be normal.SIRT3 expression:SIRT3 expression was significantly downregulated in the model group compared with the normal group,but was significantly upregulated in the treatment group compared with the model group(P＜0.05).To conclude,abnormalities in local muscle mitochondria and downregulation of SIRT3 expression suggest the presence of impaired energy metabolism in the rat model of myofascial pain syndrome.Mitochondrial changes recover and are close to normal after the silver needle-thermal conduction therapy,and the expression of SIRT3 is also upregulated close to the normal group,indicating the silver needle-thermal conduction therapy may play a therapeutic role by promoting mitochondrial repair and improving energy metabolism disorder.

ObjectiveTo investigate the mechanism of Baihuan Xiaoyao Decoction （Xiaoyaosan added with Lilii Bulbus and Albiziae Cortex） in alleviating depression-like behaviors of juvenile rats by regulating the polarization of microglia. MethodSixty juvenile SD rats were randomized into normal control， model， fluoxetine， and low-， medium-， and high-dose （5.36， 10.71， 21.42 g·kg^-1， respectively） Baihuan Xiaoyao decoction groups. The rat model of juvenile depression was established by chronic unpredictable mild stress （CUMS）. The sucrose preference test （SPT） was carried out to examine the sucrose preference of rats. Forced swimming test （FST） was carried out to measure the immobility time of rats. The open field test （OFT） was conducted to measure the total distance， the central distance， the number of horizontal crossings， and the frequency of rearing. Morris water maze （MWM） was used to measure the escape latency and the number of crossing the platform. The immunofluorescence assay was employed to detect the expression of inducible nitric oxide synthase （iNOS， the polarization marker of M1 microglia） and CD206 （the polarization marker of M2 microglia）. Real-time polymerase chain reaction was employed to determine the mRNA levels of iNOS， CD206， pro-inflammatory cytokines ［tumor necrosis factor （TNF）-α， interleukin （IL）-1β， and IL-6］ and anti-inflammatory cytokines （IL-4 and IL-10） in the hippocampus. Western blotting was employed to determine the protein levels of iNOS and CD206 in the hippocampus. The levels of IL-4 and IL-6 in the hippocampus were detected by enzyme-linked immunosorbent assay. ResultCompared with the normal control group， the model rats showed a reduction in sucrose preference （P<0.05）， an increase in immobility time （P<0.05）， decreased motor and exploratory behaviors （P<0.05）， and weakened learning and spatial memory （P<0.05）. In addition， the model rats showed up-regulated mRNA and protein levels of iNOS and mRNA levels of IL-1β， IL-6， and TNF-α （P<0.05）. Compared with the model group， Baihuan Xiaoyao decoction increased the sucrose preference value （P<0.05）， shortened the immobility time （P<0.01）， increased the motor and exploratory behaviors （P<0.05）， and improved the learning and spatial memory （P<0.01）. Furthermore， the decoction down-regulated the positive expression and protein level of iNOS， lowered the levels of TNF-α， IL-1β， and IL-6 （P<0.01）， promoted the positive expression of CD206， and elevated the levels of IL-4 and IL-10 （P<0.01） in the hippocampus of the high dose group. Moreover， the high-dose Baihuan Xiaoyao decoction group had higher sucrose preference value （P<0.01）， shorter immobility time （P<0.01）， longer central distance （P<0.01）， stronger learning and spatial memory （P<0.01）， higher positive expression and protein level of iNOS （P<0.01）， lower levels of TNF-α， IL-1β， and IL-6 （P<0.05， P<0.01）， lower positive expression and mRNA level of iNOS （P<0.05）， and higher levels of IL-4 and IL-10 （P<0.05， P<0.01） than the fluoxetine group. ConclusionBaihuan Xiaoyao decoction can improve the depression-like behavior of juvenile rats by inhibiting the M1 polarization and promoting the M2 polarization of microglia in the hippocampus.

【Objective】 To understand the prevalence of overweight/obesity among school-age children in Pudong New Area of Shanghai, and to explore the influence of gestational weight gain and pre-pregnancy body mass index (BMI) on weight status of school-age children. 【Methods】 From November to December 2020,a stratified cluster sampling method was adopted to select first-grade students from 13 primary schools in Pudong New Area of Shanghai.After matching with the birth monitoring database, 755 students with complete birth information were selected as the study subjects.The relevant information of mothers before and during pregnancy was retrospectively collected, and the effects of pregnancy weight gain combined with pre-pregnancy BMI on overweight/obesity in school-age children were analyzed. 【Results】 1) The prevalence rates of overweight and obesity of first-grade children were 15.89% and 18.41%, respectively.2) Maternal excessive weight gain during pregnancy (OR=1.678) and overweight/obesity before pregnancy (OR=2.315,2.412) were risk factors for overweight/obesity of the offspring at school age(P<0.05).3) For mothers who were underweight before pregnancy, excessive weight gain during pregnancy was associated with overweight/obesity in school-age children in their offspring (OR=7.436, 95%CI: 1.489 - 37.143,P<0.05).4) Excessive weight gain during pregnancy combined with overweight/obesity before pregnancy significantly increased the risk of overweight/obesity in offspring (OR=3.606, 95%CI: 2.030 - 6.405, P<0.05). Mothers who gained a moderate amount of weight during pregnancy and were emaciated before pregnancy had a significantly lower risk of overweight/obesity in their school-age children (OR=0.217, 95%CI: 0.049 - 0.967, P<0.05). 【Conclusion】 Excessive weight gain during pregnancy increases the risk of overweight/obesity in school-age children in their offspring, strengthening pregnancy health education and perinatal care to help pregnant women maintain appropriate weight gain during pregnancy may be an important and novel strategy to prevent childhood obesity.

ObjectiveThis study aimed to evaluate the clinical efficacy of Ruyi Zhenbaowan（RYZBW）in the treatment of initial and early knee osteoarthritis （KOA） through a prospective multicenter，randomized，double-blind，and placebo-parallel controlled trial. MethodFrom October 13^th， 2021 to December 25^th， 2021， 240 KOA subjects meeting the acceptance criteria were enrolled in 15 sub-centers including Wangjing Hospital， Chinese Academy of Chinese Medical Sciences， and they were randomly divided into observation group and control group， with 120 cases in each group. The intervention measures for the observation group were RYZBW + health education， and the intervention measures for the control group were RYZBW placebo + health education. The intervention period in both groups was four weeks， and they were followed up for four weeks after the intervention. The primary outcome measure was the total score of Western Ontario and McMaster University Osteoarthritis Index score （WOMAC score）， and the secondary outcome measures were the response rate of visual scale （VAS） pain score， WOMAC sub item scores （joint pain， joint stiffness， and joint function）， quality of life （SF-12） score， and traditional Chinese medicine （TCM） syndrome score. Result（1） Efficacy evaluation. The marginal model results showed that the observation group was better than the control group in improving the WOMAC total score and WOMAC pain score in the treatment of KOA with RYZBW， and the difference was statistically significant （P<0.05）. There was no significant difference between the two groups in improving VAS score response rate， WOMAC function score， WOMAC stiffness score， SF12-PCS （quality of life-physical health） score， SF12-MCS （quality of life-mental health） score， and TCM syndrome score. （2） Subgroup analysis. ① In terms of VAS score response rate， the response rate of the observation group was higher than that of the control group for subjects with baseline VAS score of （4， 5］， and the difference was statistically significant （P<0.05）. ② In terms of TCM syndrome score， for subjects aged ［56， 60］ and ［61， 65］， the decrease in total TCM syndrome score in the observation group was better than that in the control group， and the difference was statistically significant （P<0.05）. ConclusionTibetan medicine RYZBW has good clinical efficacy in improving WOMAC total score， VAS score response rate， WOMAC pain score， WOMAC function score， and TCM syndrome score for patients with initial and early KOA， which can fill the lack of Tibetan medicine RYZBW in the treatment of KOA and make a demonstration study for the inheritance and development of ethnic medicine.

Background Arsenic, cobalt, barium, and other individual metal exposure have been confirmed to be associated with the incidence of kidney stones. However, there are few studies on the association between mixed metal exposure and kidney stones, especially in occupational groups. Objective To investigate the association between mixed metal exposure and kidney stones in an occupational population from a metal smelting plant. Methods A questionnaire survey was conducted to collect sociodemographic characteristics, medical history, and lifestyle information of 1158 mixed metal-exposed workers in a metal smelting plant in Guangdong Province from July 2021 to January 2022. Midstream morning urine samples were collected from the workers, the concentrations of 18 metals including lithium, vanadium, chromium, manganese, cobalt, nickel, copper, zinc, arsenic, selenium, strontium, molybdenum, cadmium, cesium, barium, tungsten, titanium, and lead were measured by inductively coupled plasma mass spectrometry, and the urinary mercury levels were measured by cold atomic absorption spectroscopy. Based on predetermined inclusion criteria, a total of 919 mixed metal-exposed workers were included in the study, including 117 workers in the kidney stone group and 802 workers in the non-kidney stone group. With a detection rate of urinary metals greater than 80% as entry criterion, 16 eligible metals were finally included for further analysis. Parametric or non-parametric methods were used to compare the differences between continuous or categorical variables of the non-kidney stone group and the kidney stone group. Logistic regression models were constructed to explore the association between individual metal exposures and kidney stones. Weighted quantile sum (WQS) regression models were used to evaluate the association between mixed metal exposure and kidney stones, as well as the weights of each metal on kidney stones. Then Bayesian kernel machine regression (BKMR) models were used to explore the overall effect of mixed metal exposure on renal calculi and the potential interactions between metals. Results We found that there were significant differences in sex, age, length of service, and body mass Index (BMI) between the non-kidney stone group and the kidney stone group (P<0.05). The urinary concentrations of molybdenum and barium in the kidney stone group were higher than those in the non-kidney stone group, and the differences were statistically significant (P<0.05). The logistic regression models demonstrated that urinary cobalt, arsenic, molybdenum, and barium were positively correlated with the risk of kidney stones (P_trend<0.05). The WQS regression models showed that the mixed exposure to vanadium, cobalt, arsenic, molybdenum, and barium was positively associated with the risk of kidney stones (P<0.05). Among them, molybdenum, arsenic, and barium accounted for 0.391, 0.337, and 0.154, respectively. The BKMR results revealed a positive association between metal mixture exposure and the risk of kidney stones (P<0.05). When other metals were fixed at the 25th, 50th, or 75th percentile, arsenic, molybdenum, cobalt, and barium exhibited significant positive effects on the risk of kidney stones (P<0.05), while vanadium showed a significant negative effect (P<0.05). The interaction analysis demonstrated interactions between barium and cobalt, as well as between vanadium and cobalt (P<0.05). Conclusion In the occupational population of this smelter, occupational mixed metal exposure could increase the risk of kidney stones, and the main metals are molybdenum, arsenic, barium, and cobalt.

Oral diseases,such as periodontitis,salivary gland diseases,and oral cancers,significantly challenge health conditions due to their detrimental effects on patient's digestive functions,pronunciation,and esthetic demands.Delayed diagnosis and non-targeted treatment profoundly influence patients'prognosis and quality of life.The exploration of innovative approaches for early detection and precise treatment represents a promising frontier in oral medicine.Exosomes,which are characterized as nanometer-sized extracellular vesicles,are secreted by virtually all types of cells.As the research continues,the complex roles of these intracellular-derived extracellular vesicles in biological processes have gradually unfolded.Exosomes have attracted attention as valuable diagnostic and therapeutic tools for their ability to transfer abundant biological cargos and their intricate involvement in multiple cellular functions.In this review,we provide an overview of the recent applications of exosomes within the field of oral diseases,focusing on inflammation-related bone diseases and oral squamous cell carcinomas.We characterize the exosome alterations and demonstrate their potential applications as biomarkers for early diagnosis,highlighting their roles as indicators in multiple oral diseases.We also summarize the promising applications of exosomes in targeted therapy and proposed future directions for the use of exosomes in clinical treatment.

Oral diseases,such as periodontitis,salivary gland diseases,and oral cancers,significantly challenge health conditions due to their detrimental effects on patient's digestive functions,pronunciation,and esthetic demands.Delayed diagnosis and non-targeted treatment profoundly influence patients'prognosis and quality of life.The exploration of innovative approaches for early detection and precise treatment represents a promising frontier in oral medicine.Exosomes,which are characterized as nanometer-sized extracellular vesicles,are secreted by virtually all types of cells.As the research continues,the complex roles of these intracellular-derived extracellular vesicles in biological processes have gradually unfolded.Exosomes have attracted attention as valuable diagnostic and therapeutic tools for their ability to transfer abundant biological cargos and their intricate involvement in multiple cellular functions.In this review,we provide an overview of the recent applications of exosomes within the field of oral diseases,focusing on inflammation-related bone diseases and oral squamous cell carcinomas.We characterize the exosome alterations and demonstrate their potential applications as biomarkers for early diagnosis,highlighting their roles as indicators in multiple oral diseases.We also summarize the promising applications of exosomes in targeted therapy and proposed future directions for the use of exosomes in clinical treatment.