Objective To analyze the newly reported HIV-1 infection in several prefectures of Hubei Province，and analyze its influencing factors. Methods The limiting antigen avidity enzyme immunoassay(LAg-avidity EIA,LAg) was conducted on HIV-1 positive samples confirmed by Western blot of Hubei in 2017-2022. The demographic characteristics of the newly infected samples were analyzed by χ2 test.Logistic regression model was used to analyze influencing factors of new infection rate and predict the factors associated with the HIV-1 recent infection. Results There were 403 new cases of HIV-1 from 2017 to 2022 in several prefectures of Hubei Province, of which 77 were newly infected sorted by LAg,with a new infection rate of 19.11%. The newly confirmed HIV-1 persons of whom aged ≤24 years (40.00% new infection ratio), unmarried (29.41%), college or above (31.37%), and from Voluntary counseling and testing testing(VCT) clinics (40.00%) had a higher proportion of new infections, and the difference was statistically significant. Multivariate Logistic regression analysis showed that age ≤24 years old (aOR=4.346,95%CI: 1.342-14.075) and screening from the VCT clinic (aOR=6.761,95%CI: 1.460-31.319) were more likely to be newly infected. Conclusion The proportion of new HIV infection in several prefectures of Hubei province is relatively low in recent years.Further effective publicity and intervention measures for young students and the construction of VCT clinic should be continuously promoted to achieve early diagnosis and treatment.

Background: Surgeons face challenges in selecting cost-effective and biologically active agents for rotator cuff healing, given the numerous commercial products available, such as polydeoxyribonucleotide (PDRN) and atelocollagen (ATC). However, the precise efficacy of PDRN and ATC in rotator cuff healing remains debatable, and there is currently a lack of studies directly comparing the effects of the 2 agents on repaired cuff tendons. Therefore, the purpose of this study was to compare the efficacy of PDRN and ATC on bone-to-tendon interface (BTI) healing using a chronic rotator cuff tear (RCT) model in rabbits. Methods: Forty-eight rabbits were randomly divided into 3 groups. To create chronic RCT models, transected tendons were left untreated for 6 weeks, and then were repaired in a transosseous manner with PDRN and ATC injection into the repair site according to group allocation (group A: saline, group B: PDRN, group C: ATC; n = 16 per group). Genetic and immunofluorescence analyses were performed at 4 weeks after surgery. Furthermore, genetic, histologic, and biomechanical analyses were performed at 12 weeks after surgery. Results: At 4 weeks after surgery, ATC-injected shoulders showed the highest mRNA expression levels of collagen type I alpha 1 and aggrecan compared to the other 2 groups (p < 0.001 and p = 0.002, respectively). Meanwhile, there was more preliminary fibrocartilaginous matrix formation in the ATC-injected group. At 12 weeks after surgery, ATC-injected shoulders demonstrated better collagen fiber continuity and orientation, denser collagen fibers, a more mature bone-to-tendon junction, and greater fibrocartilage layer formation compared to the other 2 groups (all p < 0.001). Furthermore, ATC-injected shoulders also demonstrated a significantly higher load-to-failure value (40.4 ± 4.5 N/kg) than the remaining groups (group A, 26.7 ± 3.0 N/kg; group B, 32.8 ± 4.2 N/kg; p < 0.001). Conclusions ATC demonstrated superior efficacy in promoting BTI healing following surgical repair in a chronic RCT model of rabbits.

Objective To investigated the effects of occupational exposure to N,N-dimethylformamide (DMF) on sterol regulatory element-binding protein (SREBP) and iron metabolism among workers. Methods A total of 20 workers occupationally exposed to DMF were selected as the exposure group, and 15 healthy workers without DMF exposure from the same factory were selected as the control group using the purposive sampling method. DMF exposure levels were assessed in individual samples of the workers. The urinary N-methylformamide (NMF) levels were measured by gas chromatography. The mRNA expression of SREBP-1a, SREBP-1c, and SREBP-2 in peripheral blood was measured by real-time quantitative polymerase chain reaction. Enzyme-linked immunosorbent assay was used to detect serum transferrin, soluble transferrin receptor (sTfR), and ferritin levels. Results The DMF exposure levels among the workers in the control group were below the detection limit, and urinary NMF was undetectable. The median DMF exposure level was 13.30 mg/m³, and the mean urinary NMF level was (9.72±1.78) mg/g Cr among the workers in the exposure group. Compared with the control group, the relative mRNA expression of SREBP-1a, SREBP-1c, and SREBP-2 in peripheral blood of workers in the exposure group increased (all P<0.05), while the levels of transferrin and sTfR decreased (both P<0.01). However, there was no statistically significant difference in serum ferritin levels between the two groups (P>0.05). In the exposure group, urinary NMF level of workers was negatively correlated with the relative mRNA expression level of SREBP-1c in blood [correlation coefficient (r)=-0.50, P=0.03], and positively correlated with the levels of serum transferrin, sTfR, and ferritin (r = 0.63, 0.58, and 0.52, respectively; all P<0.05). Conclusion Occupational exposure to DMF can upregulate the expression of the SREBP family and disrupt iron metabolism, with a potential association between these effects.

Objective: To explore the influencing factors of incident caries at age 5 among caries-free 3-year-old children in Beijing, construct a machine learning prediction model based on oral health behavioral data, and provide a scientific basis and practical tool for early risk identification, stratified prevention and control, and home-kindergarten-medical collaborative intervention of incident dental caries in preschool children. Methods: This study has been reviewed and approved by the Medical Ethics Committee, and written informed consent was obtained from the guardians of the study participants and their guardians. Children with complete baseline data at age 3 and follow-up data at age 5 from Beijing public oral health programs were included. Oral examinations were conducted according to World Health Organization diagnostic criteria, and questionnaires were completed by guardians. Risk factors were screened by Logistic regression. The total sample was randomly divided into a test set (20%) and a validation set (80%). Five-fold cross-validation was performed on the validation set for model training and tuning, and the final model performance was evaluated on the test set. Four machine learning models—decision tree, random forest, Extreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM)—were constructed. Model performance was evaluated using the area under the curve (AUC), accuracy, and specificity. Shapley Additive Explanations (SHAP) was used for model interpretation. Results: The incidence of incident caries for 3 372 5-year-old children in Beijing was 50.96%. Multivariate logistic regression showed that parental caries, sleeping with milk, frequent feeding at night, no postprandial cleaning, high sugar intake, insufficient bedtime tooth brushing, and non-fluoride toothpaste use were significant risk factors (P < 0.05). Although all four machine learning models performed well, the XGBoost model performed the best (AUC = 0.806). Feature importance and SHAP analysis indicated that the frequency of bedtime tooth brushing, the frequency of candy consumption, and parental caries status were the top three predictors. Conclusion The XGBoost model based on oral health behaviors at age 3 can accurately predict the risk of incident caries in 5-year-old children in Beijing. Bedtime tooth brushing, sugar control, and parental oral health management are key points for caries prevention in preschool children.

BACKGROUND:Socket-shield technique can effectively maintain labial soft and hard tissues,but the incidence of postoperative complications such as exposure and displacement of root shield is relatively high.It is speculated that the root shield may be exposed and displaced due to excessive load after long-term function of dental implants. OBJECTIVE:Through three-dimensional finite element analysis,we aim to study the influence of varying root shield thicknesses on the stress distribution,equivalent stress peaks,and displacement in the root shield,periodontal ligaments,implant,and surrounding alveolar bone under normal occlusal loading.We also attempt to analyze the correlation between the thickness of the root shield and occurrence of mechanical events such as root shield exposure,displacement,and fracture. METHODS:Cone-beam CT data of a patient who met the indication standard of socket-shield technique for maxillary central incisor were retrieved from database.Reverse engineering techniques were used to build models of the maxillary bone and root shield,while forward engineering was used to create models for the implant components based on their parameters.Models depicting various root shield thicknesses(0.5,1.0,1.5,and 2.0 mm)were created using Solidworks 2022 software.ANSYS Workbench 2021 software was then used to simulate and analyze the effects of varying root shield thicknesses on stress distribution,equivalent stress peaks,and displacement of the root shields,periodontal ligaments,implants,and surrounding alveolar bone under normal occlusion. RESULTS AND CONCLUSION:(1)In all root shield models,the stress was concentrated on the palatal cervical side,both sides of the edges and the lower edge of the labial side.As the thickness of the root shield increased,the equivalent stress peak and displacement showed a decreasing trend.The 0.5 mm thickness model produced a stress concentration of 176.20 MPa,which exceeded the yield strength(150 MPa)of tooth tissue.(2)The periodontal ligament stress in each group was concentrated in the neck margin and upper region.With the increase of root shield thickness,the equivalent stress peak and displacement of periodontal ligament showed a decreasing trend.(3)Implant stress in all models was concentrated in the neck of the implant and the joint of the implant-repair abutment,and the labial side was more concentrated than the palatal side.With the increase of root shield thickness,the equivalent stress peak of the implant in the model showed an increasing trend.(4)In each group of models,stress of cortical bone concentrated around the neck of the implant and the periphery of the root shield,and the labial side was more concentrated than the palatal side.With the increase of the thickness of the root shield,the equivalent stress peak around the root shield decreased;the peak value of the equivalent stress of the bone around the neck of the implant showed an increasing trend.In the model,the stress of cancellous bone was mainly concentrated around the neck of the lip of the implant,the top of the thread,the root tip and the lower margin of the root shield,and the labial side was more concentrated than the palatal side.With the increase of the thickness of the root shield,the peak value of the equivalent stress of the bone around the root shield in the model showed a decreasing trend.The minimum principal stress of cortical bone in each group of models was concentrated around the neck of the implant,exhibiting a fan-shaped distribution.As the thickness of the root shield increased,the minimum principal stress of cortical bone showed an increasing trend.(5)These results indicate that different thicknesses of the root shield have different biomechanical effects.The root shield with a thickness of 0.5 mm is easy to fracture.For patients with sufficient bone width,the root shield with a thickness of 2.0 mm is an option to reduce the risk of complications such as root shield exposure,fracture,and displacement.Meanwhile,it should be taken into account to protect the periodontal ligament in the preparation process,and rounding treatments ought to be carried out on both sides and the lower edge of the root shield.

Salvia miltiorrhiza is a perennial herb of the genus Salvia(Lamiaceae). As one of the earliest medicinal plants to undergo molecular biology research, it has gradually become a model plant for molecular biology of medicinal plants. With the gradual analysis of the genome of S. miltiorrhiza and the biosynthetic pathways of its main active components tanshinone and salvianolic acids, the transcriptional regulation mediated by transcription factors and related regulatory proteins has gradually become a new research focus. Due to the lack of scientific and unified naming of transcription factors and different research indexes in different literature, this paper systematically sorted out the transcription factors in different literature with the genomes of DSS3 from selfing for three generations and bh2-7 from selfing for six generations as reference. In total, 73 transcription factors and related regulatory proteins belonging to 13 gene families were identified. The effects of overexpression or gene silencing experiments on tanshinone and salvianolic acids were also analyzed. This study unified the identified transcription factors, which laid a foundation for further constructing the regulatory networks of secondary metabolites and insect or stress resistance and improving the quality of medicinal materials by using global transcriptional regulation engineering.
Salvia miltiorrhiza/chemistry* ; Plant Proteins/metabolism* ; Gene Expression Regulation, Plant ; Transcription Factors/metabolism* ; Abietanes/metabolism*

Objective To investigate the longitudinal relationship between sleep duration(SD)and positive youth development(PYD)among primary and secondary school students in Chengdu city using a cross-lagged model,and to provide scientific evidence for enhancing sleep management practices for students.Methods A total of 4061 students of grades 3 through 9 from the Chengdu Child Positive Development Cohort were included in this three-wave longitudinal study.There was a one-year interval between one survey and the following round of survey,and the time points for the baseline,12-month follow-up,and 24-month follow-up surveys were designated T0,T1,and T2.The PYD of the participants was assessed using the Chinese version of the Positive Youth Development Scale.The demographic data and the average daily SD over the past month were collected.Spearman correlation analysis was performed to examine the associations between SD and PYD,and a cross-lagged model was used to investigate the longitudinal relationship between them.Results The average daily SD for the 3 rounds of surveys conducted at T0,T1,and T2 was 9.00(8.04,10.00)hours,10.44(9.67,11.11)hours,and 10.39(9.83,11.00)hours,respectively,while the PYD scores were 5.30(4.73,5.71),5.27(4.73,5.73),and 5.39(4.89,5.77),respectively.Statistical significance was found in the differences of SD and PYD scores across the 3 rounds(P＜0.05).Spearman correlation analysis revealed synchronous correlations between SD and PYD at all three time points(r=0.10 at T0,r=0.18 at T1,and r=0.21 at T2,P＜0.05)and significant lagged correlations(e.g.,r=0.10 for T1-PYD and T2-SD,and likewise,significant correlation was found for the 3 other cross-lagged paths).The cross-lagged model demonstrated that PYD at T0 and T1 positively predicted SD at T1 and T2,respectively(β0-1=0.116[95％CI,0.083-0.150],β1-2=0.097(95％CI,0.067-0.127),P＜0.05),and that SD at T0 and T1 also positively predicted PYD at T1 and T2(β0-1=0.028[95％CI,0-0.056],β1-2=0.042[95％CI,0.010-0.074],P＜0.05).According to these findings,a bidirectional predictive relationship between SD and PYD across different time points was observed in primary and secondary school students.Furthermore,PYD demonstrated better performance for predicting SD than SD did for PYD.Subgroup analysis by sex confirmed the robustness of the predictive power of PYD for SD.Conclusion This study reveals a positive bidirectional predictive relationship between SD and PYD among primary and secondary school students,suggesting that higher levels of PYD may contribute to adequate sleep.These findings provide critical scientific evidence for schools and families to strengthen sleep management and promote the holistic development and well-being of adolescents.

Objective In this study,we investigated the correlation between the scores for different Liebowitz Social Anxiety Scale(LSAS)subscale models and the metabolic activity in specific regions of the brain using 18F-fluorodeoxyglucose(FDG)positron emission tomography/computed tomography(PET/CT)(18F-FDG PET),thereby improving the understanding of the neurobiological characteristics of social anxiety.Methods A total of 39 cognitively normal participants(29 men and 10 women,aged 30-63 years)were enrolled.All participants underwent LSAS assessment and brain 18F-FDG PET scanning.Correlations between metabolic activities in various brain regions and scores from the different LSAS subscales were analyzed accordingly.Results LSAS subscale scores were significantly correlated with metabolic activity in specific brain regions.In the Safren model,the score for the observation by others subscale was positively correlated with the left fusiform gyrus(P<0.001,false discovery rate[FDR]-corrected)and the left caudate tail(P<0.001,FDR-corrected),suggesting a close association between mood states related to observation by others and the metabolic activity in these regions.In the Baker model,the score for the eating and drinking subscale was negatively correlated with the right precuneus(P<0.001,FDR-corrected),while the score for the assertiveness subscale was positively correlated with the left caudate nucleus(P<0.001,FDR-corrected).These findings revealed the complex associative patterns between various mood and behavioral dimensions and metabolic activities in specific brain regions.Conclusion Social anxiety symptoms are closely associated with metabolic changes in specific brain regions,including the left insula,left caudate tail,and right precuneus.Moreover,different social situations activate distinct brain regions.Compared with individuals with social anxiety disorder,normal individuals exhibit involvement of fewer brain regions when experiencing social anxiety.These findings provide new experimental evidence for understanding the neural mechanisms underlying social anxiety.

Objective To explore the value of shear wave elastography(SWE)combined with cervical length(CL)measurement in predicting spontaneous preterm birth(SPB)at 20 to 27 weeks of gestation.Methods A total of 161 pregnant women with antenatal care and examination in the hospi-tal from January 2020 to June 2022 were selected as research objects.All pregnant women underwent CL measurement and SWE detection by ultrasound during 20 to 27 weeks of gestation to obtain CL and SWE parameters.The occurrence of SPB was followed up,and the correlations of CL and SWE param-eters with the occurrence of SPB were analyzed.Results Among the 161 pregnant women,34 pa-tients experienced SPB.There were significant differences in the external os strain(EOS),elastic contrast index(ECI),internal os strain(IOS),and hardness ratio(HR)of SWE parameters between pregnant women with and without preterm birth(P＜0.05).Similarly,there was a significant differ-ence in CL between the two groups(P＜0.05).Spearman correlation analysis showed that ECI,IOS and EOS were positively correlated with the occurrence of preterm birth(P＜0.05),while HR and CL were negatively correlated with the occurrence of preterm birth(P＜0.05).The receiver operating characteristic(ROC)curve showed that the area under the curve(AUC)for CL in predicting preterm birth was 0.800,with a cut-off value of 2.710 cm.Among the SWE parameters,the AUCs for ECI,HR,IOS and EOS in predicting preterm birth were 0.651,0.642,0.705 and 0.653 respectively,with cut-off values of 5.140,53.650％,0.320 and 0.330 respectively.The ROC curve showed that the AUC for predicting preterm birth by SWE parameters combined with CL was 0.813,which was significantly higher than the AUC for prediction by the combination of the four SWE parameters(P＜0.05).The sensitivity and specificity at the maximum Youden index were 0.794 and 0.732 respectively.Conclusion CL,as well as ECI,HR,IOS and EOS among SWE parameters,have certain value in predicting SPB in pregnant women at 20 to 27 weeks of gestation,especially when the five indicators are combined for prediction.The critical values for prediction are 2.710 cm,5.140,53.650％,0.320 and 0.330 respectively.

Traditional Chinese Medicine (TCM), as a treasure of the Chinese nation, plays a significant role in maintaining public health. In 2019, the Central Committee of the Communist Party of China and the State Council proposed for the first time the establishment of a TCM registration and evaluation evidence system that integrates TCM theory, "personal experience" and clinical trials (referred to as the "Three-in-One" System) to promote the inheritance and innovation of TCM. Subsequently, the National Medical Products Administration issued several guiding principles to advance the improvement and implementation of this system. Owing to the complexity of its implementation, there are still differing understandings within the TCM industry regarding the positioning of the "Three-in-One" Registration and Evaluation Evidence System, as well as the connotation and value orientation of the "personal experience." To address this, Academician WANG Qi, President of the TCM Association, China International Exchange and Promotion Association for Medical and Healthcare and TCM master, led a group of academicians, TCM masters, TCM pharmacology experts and clinical TCM experts to convene a "Seminar on Promoting the Implementation of the ′Three-in-One′ Registration and Evaluation Evidence System for Chinese Medicinals." Through extensive discussions, an expert consensus was formed, clarifying the different roles of the TCM theory, "personal experience" and clinical trials within the system. It was further emphasized that the "personal experience" is the core of this system, and its data should be derived from clinical practice scenarios. In the future, the improvement of this system will require collaborative efforts across multiple fields to promote the high-quality development of the Chinese medicinal industry.