Objective: To investigate the inhibitory effect of neoeriocitrin (Neo) on ligature-induced experimental periodontitis in mice and evaluate its biosafety, providing experimental evidence for novel candidate drugs in periodontitis treatment. Methods: This study has been approved by the Animal Welfare and Ethical Safety Committee. A periodontitis model was established in C57BL/6J mice using silk ligation. The mice were divided into control, periodontitis model, and three Neo treatment groups (5, 10, 20 mg/kg Neo). After 2 weeks of intervention, alveolar bone resorption was analyzed by micro-computed tomography (micro-CT); periodontal tissue pathological changes were observed via hematoxylin-eosin (HE) and Masson staining; osteoclasts were counted using tartrate-resistant acid phosphatase staining; serum inflammatory factor levels [tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), interleukin-1β (IL-1β), interleukin-10 (IL-10)] were detected by enzyme-linked immunosorbent assay; gut microbiota changes were analyzed by 16S rRNA sequencing; and biosafety was assessed through HE staining of the heart, liver, spleen, lung, kidney, and colon, as well as zonula occludens-1 (ZO-1) immunohistochemical staining of the colon. Results: Compared with the periodontitis model group, the 10 mg/kg Neo treatment group showed significantly alleviated alveolar bone resorption, manifested as reduced cementoenamel junction to alveolar bone crest distance, increased bone mineral density, bone volume fraction, and trabecular thickness. Additionally, reduced inflammatory cell infiltration, improved collagen fiber arrangement, and a significantly decreased number of osteoclasts were observed in periodontal tissues. Serum levels of pro-inflammatory factors TNF-α and IL-6 were also reduced. Furthermore, 10 mg/kg Neo intervention modulated the gut microbiota structure without causing significant multi-organ toxicity or impairing intestinal barrier function. Conclusion Neo can effectively mitigate the progression of experimental periodontitis by inhibiting alveolar bone resorption, reducing periodontal tissue inflammation, modulating systemic immunity, and improving gut microbiota. With good biosafety, Neo is a promising candidate drug for the treatment of periodontitis.

ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules， reveal the quality fluctuation patterns of products from the same and different manufacturers， providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector（HPLC-DAD-CAD） was employed to determine the contents of 4 components（syringic acid， leonurine hydrochloride， ferulic acid， and stachydrine hydrochloride） in samples from 19 manufacturers（53 batches， 159 boxes）. Additionally， fingerprint profiles were constructed， and the fingerprint dissimilarity（P_S） and relative standard deviation（RSD） of different samples from the same manufacturer were calculated. A principal component analysis（PCA） model was established with P_S and the RSD values of the 4 components as variables to classify the manufacturers. Finally， samples from 5 manufacturers（M1-M5） covering three consistency groups were selected to calculate three quality consistency parameters， namely intra-batch consistency（P_A）， inter-batch consistency（P_B）， and P_S. Then， PCA was performed with P_A， P_B， and P_S of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them， the content of stachydrine hydrochloride（a pharmacopoeial quality control component） was 32.46-72.70 mg per bag， all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China， with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows：syringic acid of 1.43-41.92 mg per bag， leonurine hydrochloride of 0.67-11.85 mg per bag， and ferulic acid of 0.11-3.81 mg per bag. Notably， leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer（RSD of 4.8%-59.2%）. PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers（M2， M6， M7， M8， M10， M15， M17， M18） demonstrated relatively high consistency， five manufacturers（M3， M9， M12， M13， M14） showed moderate consistency， six manufacturers（M1， M4， M5， M11， M16， M19） exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers， verifying the reliability of the proposed method. Among these， manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories， and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.

Background Per- and poly-fluoroalkyl substances (PFAS) can influence gestational diabetes mellitus (GDM); however, current studies on their association are limited and have yielded inconsistent findings. Objective To investigate the association between maternal exposure to PFAS, as measured by urinary concentrations in early pregnancy, and the risk of developing GDM. Methods Based on the Wuhu Birth Cohort in Anhui Province conducted between 2020 and 2023, this study included 1910 pregnant women. Urine samples were collected during the first trimester, and a 75 g oral glucose tolerance test (OGTT) was completed at 24–28 gestational weeks. The concentrations of six PFAS in urine were measured using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Participants were categorized into low, medium, and high exposure groups according to tertiles of individual PFAS concentrations. Logistic regression analysis was employed to assess the potential impact of early-pregnancy PFAS exposure levels on the risk of GDM, with stratified analyses by maternal age and fetal sex. A generalized weighted quantile sum regression (gWQS) model was applied to evaluate the relative weight distribution of the six PFAS in their mixture effect. Results The logistic regression results revealed that both medium exposure to perfluorohexane sulfonate (PFHxS) (OR=1.475, 95%CI: 1.040, 2.093) and high exposure to perfluorononanoic acid (PFNA) (OR=1.430, 95%CI: 1.013, 2.018) were positively associated with diagnosed GDM. This association was more pronounced among women older than 28 years. Among pregnant women carrying male fetuses, high-level exposures to per fluorohexanoic acid (PFHxA) (OR=1.708, 95%CI: 1.006, 2.899) and PFHxS (OR=2.116, 95%CI: 1.247, 3.584) showed positive associations with diagnosed GDM. In contrast, among those carrying female fetuses, moderate perfluorooctanesulfonic acid (PFOS) exposure was associated with a lower risk of GDM (OR=0.542, 95%CI: 0.311, 0.946). The gWQS results demonstrated that PFOS (0.48) and perfluorobutane sulfonate (PFBS) (0.34) contributed the most to the mixture effect. Conclusion Early-pregnancy exposure to PFAS (particularly PFHxS and PFNA) may be an etiological factor for GDM, with maternal age and fetal sex potentially acting as effect modifiers in this association.

Occupational hazards pose a major public health challenge that seriously endangers the health of the working population. As a statutory key component of occupational health work, occupational health risk assessment urgently requires more attention. Currently, commonly used occupational health risk assessment methods exhibit notable deficiencies such as insufficient comprehensive assessment capabilities and limited applicability. The absence of assessment methods that accurately align with occupational health practices has constrained the depth and breadth of occupational health risk assessment in China, resulting in inadequate risk identification and significant deficiencies in social service provision, decision-making support, and health protection. Meanwhile, under the current assessment system, the occupational health big data obtained from risk assessments, occupational health examinations, biological monitoring, and other sources suffer from issues such as fragmented resources and low utilization rates. As a result, existing systems are unable to effectively support critical operational needs, including accurate risk early warning, timely risk response, and refined risk management. This study systematically reviewed the common occupational health risk assessment methods and the current status of occupational health risk assessment and big data applications in China, identified existing shortcomings, proposed a comprehensive risk assessment and risk prediction-early warning scheme based on the application of occupational health big data. The scheme is expected to provide theoretical foundations and methodological references for advancing comprehensive risk assessment of occupational health through big data analytics, and to enhance the level of occupational health management, thereby safeguarding worker health and promoting sustainable socioeconomic development.

Dry eye disease(DED)is a common ocular surface disorder worldwide, primarily characterized by a loss of homeostasis of the tear film, and frequently associated with meibomian gland dysfunction(MGD), decreased tear film stability, ocular discomfort, and visual impairment. In recent years, factors such as the widespread use of digital devices,the aging population, and environmental changes have contributed to a significant increase in its global prevalence, making it a major public health concern. Red light therapy(RLT), also known as low-level laser therapy(LLLT)or photobiomodulation(PBM), is a non-invasive treatment that utilizes low-energy red or near-infrared light to irradiate tissues. It exerts photobiomodulatory effects to promote cellular repair and functional recovery. This therapy has demonstrated considerable potential in treating various ocular conditions. Its broader clinical application could improve therapeutic outcomes, alleviate patient discomfort and financial burden, and reduce the consumption of healthcare resources, thereby yielding significant socio-economic benefits. This paper systematically reviews the multifaceted mechanisms and application prospects of RLT in managing DED, including its anti-inflammatory effects, improvement of meibomian gland function, promotion of conjunctival goblet cell repair, and alleviation of visual fatigue, aiming to provide a theoretical foundation and practical reference for its clinical adoption.

BackgroundSuicide among adolescents has become a serious public health issue， with suicidal ideation serving as a necessary precursor to suicide attempts and death. Previous research suggests that campus exclusion， depression， and psychological resilience are closely associated with the development of suicidal ideation in individuals. However， there is a lack of longitudinal research to deeply explore the relationship between each influencing factor and suicidal ideation. ObjectiveTo explore the impact of campus exclusion on suicidal ideation among adolescents， as well as the mediating role of depression and the moderating role of resilience， so as to provide references for formulating strategies for preventing and intervening in adolescent suicide. MethodsAUsing a longitudinal research design， in November 2023， 1 226 students from 21 classes （4 classes per grade in junior high school and 3 classes per grade in senior high school） from a junior high school and a senior high school in a certain area of Shandong Province were selected as the research subjects. The Ostracism Experience Scale for Adolescents （OES-A）， the Patients' Health Questionnaire Depression Scale-9 item （PHQ-9）， and the Resilience Scale for Chinese Adolescents （RSCA） were used for assessment. The PHQ-9 suicide ideation item was evaluated again three months after the baseline survey （the two suicide ideation evaluations were respectively denoted as T1 and T2 respectively. Spearman correlation analysis was used to examine the relationships among scale scores. Model 4 and model 59 in the SPSS macro program Process 4.2 were used to test the mediating effect of depression between school exclusion and suicide ideation， as well as the moderating effect of psychological resilience on the three paths. ResultsCorrelation analysis showed that OES-A score was positively correlated with PHQ-9 score and suicidal ideation item score （T2）， and PHQ-9 score was also positively correlated with suicidal ideation item score （T2） （r=0.361， 0.292， 0.508， P<0.01）. RSCA score was negatively correlated with OES-A， PHQ-9， and suicidal ideation （T2） scores （r=-0.500， -0.676， -0.459， P<0.01）. Campus exclusion positively predicted suicidal ideation （T2） and depression （β=0.081， 0.281， P<0.01）， while depression positively predicted suicidal ideation （T2） （β=0.108， P<0.01）. The mediation analysis revealed an effect size of 0.030 （95% CI： 0.019~0.043， P<0.01）， accounting for 37.35% of the total effect. Psychological resilience moderated the relationships between campus exclusion and depression， campus exclusion and suicidal ideation （T2）， and depression and suicidal ideation （T2） （β=-0.059， -0.049， -0.062， P<0.01）. ConclusionA moderated mediation model exists among campus exclusion， depression， resilience， and adolescent's suicidal ideation. Psychological resilience moderates the associations between campus exclusion， depression and suicidal ideation across all three paths. ［Funded by Beijing Municipal Health Commission Clinical Research Excellence Program， （number， BRWEP2024W072130101）；Beijing Municipal Hospital Management Center Summit Program， （number， DFL20221701）］

BackgroundThe violent aggressive behaviors of patients with schizophrenia usually have the characteristics of suddenness， unpredictability， high severity， and great difficulty in prevention. Early identification and accurate assessment of their risk of violent aggression have significant clinical significance. ObjectiveTo construct a predictive model for the violence risk in hospitalized patients with schizophrenia， to identify the key factors influencing the occurrence of violent behavior in these patients， so as to provide references for clinical precise quantitative assessment and early intervention. MethodsA total of 200 patients with schizophrenia who were hospitalized at Taiyuan Psychiatric Hospital from March 2022 to September 2024 and met the diagnostic criteria of the International Classification of Diseases， eleventh edition （ICD-11） were collected to form the modeling cohort. They were randomly divided into a training set （n=140） and a test set （n=60） at a ratio of 7∶3. Based on the least absolute shrinkage and selection operator （LASSO） regression algorithm， the feature variables were screened and dimension-reduced. The support vector machine （SVM） from machine learning was selected for model training and prediction. The discrimination efficacy of the model was evaluated by the area under the receiver operating characteristic （ROC） curve （AUC）， accuracy， precision， sensitivity， specificity， F1 value， and Brier value. ResultsLASSO regression screening identified 16 feature variables. Pearson correlation analysis revealed a positive correlation between prior violent behavior frequency and clinical psychiatric symptom scores （r=0.580， P<0.01）， a positive correlation between hospitalization compliance and current disease status （r=0.550， P=0.003）， and a positive correlation between educational level and family per capita monthly income （r=0.367， P<0.01）. The SVM model achieved an AUC of 0.853， accuracy of 0.800， precision of 0.810， sensitivity of 0.895， specificity of 0.636， F1 value of 0.850， and Brier value of 0.168. ConclusionThe SVM model has a relatively high level of applicability and overall predictive performance in the assessment of violent risk in schizophrenia patients， which is helpful for the early identification of violent risks in such patients. ［Funded by Specialized Research Project for Enhancing the Competence of Health Professionals in Taiyuan City （number， Y2023006）］

ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules， reveal the quality fluctuation patterns of products from the same and different manufacturers， providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector（HPLC-DAD-CAD） was employed to determine the contents of 4 components（syringic acid， leonurine hydrochloride， ferulic acid， and stachydrine hydrochloride） in samples from 19 manufacturers（53 batches， 159 boxes）. Additionally， fingerprint profiles were constructed， and the fingerprint dissimilarity（P_S） and relative standard deviation（RSD） of different samples from the same manufacturer were calculated. A principal component analysis（PCA） model was established with P_S and the RSD values of the 4 components as variables to classify the manufacturers. Finally， samples from 5 manufacturers（M1-M5） covering three consistency groups were selected to calculate three quality consistency parameters， namely intra-batch consistency（P_A）， inter-batch consistency（P_B）， and P_S. Then， PCA was performed with P_A， P_B， and P_S of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them， the content of stachydrine hydrochloride（a pharmacopoeial quality control component） was 32.46-72.70 mg per bag， all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China， with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows：syringic acid of 1.43-41.92 mg per bag， leonurine hydrochloride of 0.67-11.85 mg per bag， and ferulic acid of 0.11-3.81 mg per bag. Notably， leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer（RSD of 4.8%-59.2%）. PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers（M2， M6， M7， M8， M10， M15， M17， M18） demonstrated relatively high consistency， five manufacturers（M3， M9， M12， M13， M14） showed moderate consistency， six manufacturers（M1， M4， M5， M11， M16， M19） exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers， verifying the reliability of the proposed method. Among these， manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories， and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.

ObjectiveTo construct a recombinant virus expressing tick-borne encephalitis virus(TBEV) prM-E protein using vesicular stomatitis virus(VSV) as a vector, and to identify it, so as to provide a basis for the research of TBEV vaccines based on VSV vector.MethodsThe prM-E gene of the TBEV Senzhang strain was inserted between the G and L genes of the VSV vector. The recombinant virus was rescued by co-transfecting BHK-21 cells infected by poxvirus containing T7 RNA polymerase with helper plasmids expressing VSV N, P, L, and G proteins. The supernatant was collected, and the recombinant virus rVSV-TBEVprM-E stably expressing prM-E was obtained after multiple passages. Western blot, immunofluorescence assay(IFA) and RT-PCR were used to identify the expression of prM-E protein and gene of rVSV-TBEVprM-E in cells. The viral titers of rVSV-TBEVprM-E at different time points were determined by plaque assay and the growth curve was plotted.ResultsTBEV prM-E gene was successfully inserted into the genome of recombinant virus rVSV-TBEVprM-E, and the expression of prM-E protein in BHK-21 cells was detectable. After serial passages, rVSV-TBEVprM-E achieved a viral titer of 6. 75 × 10~5 PFU/mL.ConclusionA recombinant virus rVSV-TBEVprM-E expressing prM-E protein was successfully constructed, which lays a solid experimental foundation for the related research of TBEV.

The American Heart Association (AHA) and the American College of Cardiology (ACC), in collaboration with multiple professional organizations, jointly released the "Guideline for the Prevention, Detection, Evaluation and Management of High Blood Pressure in Adults" in August 2025. Based on the latest evidence-based medical findings from February 2015 to January 2025, the guideline proposes an individualized treatment strategy grounded in total cardiovascular disease risk stratification, incorporates the novel PREVENT risk assessment model, lowers the medication initiation threshold and control targets for high-risk populations, and provides specific management recommendations for special populations. This article provides an interpretation of these updates and conducts a comparative analysis with the current status of hypertension prevention and treatment in China as well as Chinese guidelines, aiming to offer reference for hypertension control practices in China.