Objective: To review the relationship between 24 hour movement behaviors and physical and mental health among college students, in order to provide evidence to support health promotion and further research in universities. Methods: Following the Joanna Briggs Institude(JBI) scoping review guidelines, relevant studies published in databases from inception date to December 26, 2025 were searched, including PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI) and Wanfang Data. For studies meeting the inclusion and exclusion criteria, a descriptive analysis was conducted to summarize the measurement tools used, adherence rates with guidelines, and the relationship between physical and mental health. Results: A total of 30 studies were included. Measurement tools exhibited a high heterogeneity, with questionnaires being the primary method. The rate of full adherence with 24 hour movement behaviors among college students was less than 30%. Moderate to vigorous physical activity and high quality sleep were associated with improvements in physical fitness, cardiopulmonary function, and mental health, while prolonged sitting was negatively associated with obesity and depression. Equivalent time substitution analysis indicated that increasing moderate to vigorous physical activity and reducing prolonged sitting could significantly improve health outcomes. Conclusions The adherence rate for 24 hour movement behaviors among college students is low and it is closely associated with physical and mental health. Future studies should standardize measurement tools, and implement targeted interventions based on the optimization of daily activity patterns.

Background Lead smelting workers are exposed to mixed heavy metals such as lead (Pb) and cadmium (Cd). However, the specific associations and molecular mechanisms by which their combined exposure induces genetic damage remain unclear. Objective To clarify the association between combined Pb-Cd exposure and genetic damage and to explore the possible biological mechanisms through occupational epidemiological investigations and animal experiments. Methods (1) Population study: A cross-sectional study was conducted on 374 lead smelting workers in northern China. Inductively coupled plasma mass spectrometry (ICP-MS) was used to detect urinary levels of 8 metals including Pb and Cd, and graphite furnace atomic absorption spectroscopy (GFAAS) was used to quantify blood levels of Pb and Cd. The cytokinesis-block micronucleus assay (CBMN) was used to assess genetic damage. Poisson regression was used to analyze the association between metal exposure and micronucleus rates. (2) In vivo experiment: Thirty SD rats were randomly assigned to five groups: control (pure water), Pb (300 mg·L⁻¹ lead acetate), Cd (50 mg·L⁻¹ cadmium chloride), combined exposure (Pb + Cd), and resveratrol intervention (Pb + Cd + 50 mg·L⁻¹ resveratrol). After 8 weeks of ad libitum drinking water exposure, liver pathology, oxidative stress indicators [reactive oxygen species (ROS), reduced glutathione (GSH), oxidized glutathione (GSSG), malondialdehyde (MDA), catalase (CAT), and superoxide dismutase (SOD)], genetic damage (Comet assay and γ-H2AX) were evaluated. Furthermore, cell cycle distribution, apoptosis rates, and mRNA expression of DNA damage response (DDR), DNA repair, and apoptosis-related genes were measured. Results (1) The geometric mean (GM, 95%CI) of urinary Pb and Cd were 14.69 (13.14, 16.51) µg·L⁻¹ and 2.11 (1.90, 2.33) µg·L⁻¹, respectively; the blood Pb and Cd levels were 117.10 (105.59, 129.87) µg·L⁻¹ and 4.55 (4.23, 4.89) µg·L⁻¹, respectively among the 374 workers. The mean micronucleus rate was (1.64±0.081) ‰, with significantly higher rates in males (1.65±0.083) ‰ than females (1.53±0.334) ‰ (U=4.166, P=0.041). All Pb and Cd biomarkers were positively correlated with micronucleus rate (FR>1, P<0.05), with a significant interaction effect observed between Pb and Cd (FR>1, P<0.05). (2) In rats, co-exposure to Pb and Cd caused liver tissue damage and inflammatory infiltration. Significant increases were observed in lymphocyte ROS; GSSG and MDA in lung tissue increased, while GSH and CAT activity decreased. Comet assay indicators and γ-H2AX levels were significantly elevated. Co-exposure induced S-phase arrest and increased apoptosis. mRNA levels of DDR (ATM, ATR, Chk2, and P53) and pro-apoptotic genes (Bax and Caspase-3) were upregulated, while the anti-apoptotic gene Bcl-2 and DNA repair genes (BRCA1, BRCA2, RAD51, RAD52, and CtIP) were downregulated. Two-way ANOVA confirmed synergistic effects on GSSG, Comet assay indicators, and ATR/Chk2 mRNA expression. Conclusion Occupational co-exposure to Pb and Cd synergistically induces genetic damage. This damage is mediated by oxidative stress and DNA damage, which activates the DDR pathway and inhibits the expression of DNA repair genes, ultimately leading to cell cycle arrest and apoptosis.

Background Lead smelting workers are exposed to mixed heavy metals such as lead (Pb) and cadmium (Cd). However, the specific associations and molecular mechanisms by which their combined exposure induces genetic damage remain unclear. Objective To clarify the association between combined Pb-Cd exposure and genetic damage and to explore the possible biological mechanisms through occupational epidemiological investigations and animal experiments. Methods (1) Population study: A cross-sectional study was conducted on 374 lead smelting workers in northern China. Inductively coupled plasma mass spectrometry (ICP-MS) was used to detect urinary levels of 8 metals including Pb and Cd, and graphite furnace atomic absorption spectroscopy (GFAAS) was used to quantify blood levels of Pb and Cd. The cytokinesis-block micronucleus assay (CBMN) was used to assess genetic damage. Poisson regression was used to analyze the association between metal exposure and micronucleus rates. (2) In vivo experiment: Thirty SD rats were randomly assigned to five groups: control (pure water), Pb (300 mg·L⁻¹ lead acetate), Cd (50 mg·L⁻¹ cadmium chloride), combined exposure (Pb + Cd), and resveratrol intervention (Pb + Cd + 50 mg·L⁻¹ resveratrol). After 8 weeks of ad libitum drinking water exposure, liver pathology, oxidative stress indicators [reactive oxygen species (ROS), reduced glutathione (GSH), oxidized glutathione (GSSG), malondialdehyde (MDA), catalase (CAT), and superoxide dismutase (SOD)], genetic damage (Comet assay and γ-H2AX) were evaluated. Furthermore, cell cycle distribution, apoptosis rates, and mRNA expression of DNA damage response (DDR), DNA repair, and apoptosis-related genes were measured. Results (1) The geometric mean (GM, 95%CI) of urinary Pb and Cd were 14.69 (13.14, 16.51) µg·L⁻¹ and 2.11 (1.90, 2.33) µg·L⁻¹, respectively; the blood Pb and Cd levels were 117.10 (105.59, 129.87) µg·L⁻¹ and 4.55 (4.23, 4.89) µg·L⁻¹, respectively among the 374 workers. The mean micronucleus rate was (1.64±0.081) ‰, with significantly higher rates in males (1.65±0.083) ‰ than females (1.53±0.334) ‰ (U=4.166, P=0.041). All Pb and Cd biomarkers were positively correlated with micronucleus rate (FR>1, P<0.05), with a significant interaction effect observed between Pb and Cd (FR>1, P<0.05). (2) In rats, co-exposure to Pb and Cd caused liver tissue damage and inflammatory infiltration. Significant increases were observed in lymphocyte ROS; GSSG and MDA in lung tissue increased, while GSH and CAT activity decreased. Comet assay indicators and γ-H2AX levels were significantly elevated. Co-exposure induced S-phase arrest and increased apoptosis. mRNA levels of DDR (ATM, ATR, Chk2, and P53) and pro-apoptotic genes (Bax and Caspase-3) were upregulated, while the anti-apoptotic gene Bcl-2 and DNA repair genes (BRCA1, BRCA2, RAD51, RAD52, and CtIP) were downregulated. Two-way ANOVA confirmed synergistic effects on GSSG, Comet assay indicators, and ATR/Chk2 mRNA expression. Conclusion Occupational co-exposure to Pb and Cd synergistically induces genetic damage. This damage is mediated by oxidative stress and DNA damage, which activates the DDR pathway and inhibits the expression of DNA repair genes, ultimately leading to cell cycle arrest and apoptosis.

ObjectiveTo characterize the changes of metabolites of Blumea balsamifera in the process of sweating by non-targeted metabolomics， and to investigate the influence of sweating processing on the constituents of B. balsamifera. MethodsUltra performance liquid chromatography-quadrupole/electrostatic field orbitrap high resolution mass spectrometry（UPLC-Q-Exactive Orbitrap-MS） metabolomics was used to identify the metabolites in no sweating group（F1）， sweating 2 d group（F2） and sweating 4 d group（F3）， the differences of metabolites between the groups were compared by principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， and differential metabolites were screened according to the variable importance in the projection（VIP） value>1 and P<0.05， and the pathway enrichment of the differential metabolites was analyzed by Kyoto Encyclopedia of Genes and Genomes（KEGG）. ResultsThe results of PCA and OPLS-DA showed a clear distinction between the three groups of samples， indicating significant differences in the compositions of the three groups of samples. A total of 433 differential metabolites were screened between the F1 and F2， with 154 up-regulated and 279 down-regulated， the significant up-regulated metabolites were tangeritin， 5-O-demethylnobiletin and so on， while the metabolites with significant down-regulation included alternariol， fortunellin， etc. A total of 379 differential metabolites were screened between the F2 and F3， with 150 up-regulated and 229 down-regulated， the significant up-regulated metabolites were isoimperatorin， helianyl octanoate and so on， and the significant down-regulated metabolites were hovenoside I， goyasaponin Ⅲ， etc. KEGG pathway enrichment analysis showed that tyrosine metabolism， isoquinoline alkaloid biosynthesis， phenylalanine， tyrosine and tryptophan biosynthesis， tryptophan metabolism， valine， leucine and isoleucine biosynthesis， pantothenate and coenzyme A biosynthesis may be the key pathways affecting metabolite differences of B. balsamifera after sweating treatment. ConclusionSweating can reduce the content of endophytic mycotoxins in B. balsamifera and has a great impact on the synthesis and metabolic pathways of total flavonoids and auxin. This study can provide a reference for the process research on the sweating conditions of B. balsamifera.

The innate immune sensor NLRP3 inflammasome overactivation is involved in the pathogenesis of ulcerative colitis. PGAM5 is a mitochondrial phosphatase involved in NLRP3 inflammasome activation in macrophages. However, the role of PGAM5 in ulcerative colitis and the mechanisms underlying PGAM5 regulating NLRP3 activity remain unknown. Here, we show that PGAM5 deficiency ameliorates dextran sodium sulfate (DSS)-induced colitis in mice via suppressing NLRP3 inflammasome activation. By combining APEX2-based proximity labeling focused on PGAM5 with quantitative proteomics, we identify NEK7 as the new binding partner of PGAM5 to promote NLRP3 inflammasome assembly and activation in a PGAM5 phosphatase activity-independent manner upon inflammasome induction. Interfering with PGAM5-NEK7 interaction by punicalagin inhibits the activation of the NLRP3 inflammasome in macrophages and ameliorates DSS-induced colitis in mice. Altogether, our data demonstrate the PGAM5-NEK7 interaction in macrophages for NLRP3 inflammasome activation and further provide a promising therapeutic strategy for ulcerative colitis by blocking the PGAM5-NEK7 interaction.

The CyberKnife, an acronym for the stereotactic radiosurgery platform, represents an image-guided stereotactic radiotherapy technique. This technology precisely delivers ionizing radiation to tissues, effectively damaging tumor cells, and is suitable for radiotherapy of both intracranial and extracranial tumors. This article reports the first performance of CyberKnife by radiotherapy at Peking Union Medical College Hospital, including a patient with uncontrolled pituitary adenoma after surgery and radiotherapy, and another patient with vertebral metastasis following targeted therapy for lung adenocarcinoma. The application of CyberKnife technology in radiotherapy has achieved highly accurate dose delivery, enabling targeted irradiation of tumor lesions while minimizing damage to surrounding normal tissues, thereby yielding relatively ideal clinical outcomes.

Objective To investigate the current status of adverse drug reaction(ADR)monitoring in medical institu-tions under China's pharmacovigilance framework in Guangdong Province,and to propose evidence-based strategies for enhancing institutional monitoring capabilities.Methods A cross-sectional survey was conducted using a structured questionnaire devel-oped in alignment with national regulatory requirements and expert consensus.Data were collected from 65 medical institutions,including general hospitals,traditional Chinese medicine hospitals,and maternal/children's hospitals,across 21 prefecture-level cities in Guangdong.Descriptive and comparative analyses were performed to evaluate institutional practices.Results All 65 in-stitutions submitted valid responses.Among them,63(96.9％)had established standardized ADR reporting protocols,with 93.8％(61/65)delegating oversight to pharmacy departments.ADR data were predominantly collected via institutional informa-tion systems(67.7％,44/65),though these systems focused on passive reporting and basic data aggregation,lacking functional-ities for active signal detection or risk alert mechanisms.Significant disparities(P＜0.05)were observed across hospitals of dif-ferent tiers in reporting modalities,system sophistication,analytical frequency,and early warning implementation.Notably,mo-nitoring practices for conditionally approved drugs(e.g.,emergency-authorized therapeutics)exhibited systemic deficiencies.Conclusions To address these gaps,the following measures are recommended:Accelerating the adoption of intelligent monito-ring systems to enable real-time ADR detection and predictive analytics;Implementing tiered resource allocation policies to ensure equitable capability development;Establishing specialized protocols for high-risk pharmaceuticals,particularly conditionally ap-proved and fast-tracked drugs;Strengthening interdisciplinary training programs to improve pharmacovigilance literacy among healthcare practitioners.These interventions aim to foster a proactive risk management culture and advance patient safety within China's evolving healthcare landscape.

Aim To investigate the anti-Zika virus(ZIKV)mechanism of diterpenoid compound 9 from Euphorbia helioscopia in vitro.Methods The cytotox-icity of compound 9 was evaluated using the CCK-8 as-say.A ZIKV-infected Vero cell model was established,and the antiviral activity was assessed through RT-qPCR,plaque assay,Western blot,and immunofluores-cence.Furthermore,the mechanism of action was elu-cidated using multi-cell line validation,nanoparticle tracking analysis,cellular thermal shift assay,and mo-lecular docking.Results In Vero cells,compound 9 exhibited an EC50 of(3.95±0.15)μmol·L-1 and a CC50 of(272.12±8.56)μmol·L-1,demonstrating significantly higher antiviral efficacy than the positive control drug ribavirin(RBV).Its virus inactivation effect was time-dependent and could significantly re-duce viral load and plaque formation.Studies revealed that compound 9 altered the physicochemical properties of ZIKV particles,including reducing surface charge and increasing particle size distribution.Additionally,it significantly enhanced the thermal stability of the prM protein.Molecular docking analysis indicated that compound 9 formed a high-affinity interaction with the prM protein(binding energy:-38.52 kJ·mol-1)and stabilized its structure through hydrophobic interac-tions.Conclusion Compound 9 exerts in vitro anti-ZIKV activity by directly inactivating the virus,disrup-ting viral particle integrity,and targeting the prM pro-tein.

Aim To investigate the effects of Ixerin Z,a sesquiterpene lactone from Ixeris sonchifolia,on bone-lipid metabolic imbalance in ApoE-/-mice and to elu-cidate its molecular mechanisms.Methods A mouse model of ApoE-/-was induced using a high-fat diet,followed by eight weeks of Ixerin Z administration at doses of 1 and 10 mg·kg-1.Serum markers related to bone-lipid metabolism and inflammatory cytokines were quantified.Bone mineral density,biomechanical prop-erties,bone tissue morphology,and bone microstructure changes were analyzed.Computational molecular doc-king was performed to identify potential target proteins of Ixerin Z,and its regulatory effects on bone-lipid me-tabolism were investigated.Results Treatment with Ixerin Z markedly decreased the serum levels of total cholesterol,triglycerides,TNF-α,and IL-1β in ApoE-/-mice.It significantly improved bone mineral density,enhanced biomechanical strength,restored tra-becular structure,and reduced fat accumulation in bone tissue.Investigations revealed that Ixerin Z activated PPARα,thereby promoting fatty acid β-oxidation in bone tissue,and stimulating the Wnt/β-Catenin signa-ling pathway to facilitate bone formation.Furthermore,Ixerin Z suppressed the OPG/RANKL/NF-κB signaling pathway,leading to reduced bone resorption,independ-ent of PPARα activation.Conclusions Ixerin Z dem-onstrates potent therapeutic effects on bone-lipid meta-bolic imbalance in ApoE-/-mice.The mechanism in-volves activating PPARα to promote fatty acid β-oxida-tion in bone tissue,activating PPARα/Wnt/β-Catenin signaling pathway to promote bone formation,and in-hibiting OPG/RANKL/NF-κB signaling pathway to re-duce bone resorption.

Objective To propose a brain electrical phase prediction method based on long short-term memory network(LSTM)to improve the accuracy and robustness of phase synchronization prediction in transcranial magnetic stimulation(TMS).Methods First,an LSTM consisting of an input layer,an LSTM layer,an ReLU activation layer,a fully connected layer and a regression layer was constructed to capture the EEG signal features through the synergistic action of input gates,forgetting gates and output gates.Second,eye-open resting-state EEG data from 30 healthy subjects were trained using the LSTM to obtain a predictive model for EEG signal and EEG phase prediction.Finally,the LSTM method and the traditional autoregressive(AR)method were compared in terms of the phase prediction errors at the overall and individual levels and the prediction performance for peaks and troughs.A regression model was used to explore the relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error with the LSTM method.Results The LSTM method achieved a total phase prediction error of 0.04°±5.69°,which was lower than that of the traditional AR method(-3.36°±51.13°).For each subject,the LSTM method demonstrated superior phase prediction accuracy compared to the traditional AR method(P＜0.001).The accuracy for predicting peaks(troughs)by the LSTM method(about 89％)was higher than that by the traditional AR method(about 10％).Unlike the traditional AR method,the LSTM method didnot result in linear relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error,with Pvalues being 0.58 and 0.18,respectively.Conclusion The LSTM-based brain electrical phase prediction method shows high accuracy and robustness when used for EEG phase-synchronized TMS.[Chinese Medical Equipment Journal,2025,46(3):1-8]