Objective: To explore the longitudinal relationship between bullying victimization and sleep quality among rural boarding junior high school students in Hebei Province, and to investigate the chain mediated role of loneliness and rumination, so as to provide evidence for promoting sleep health in the population. Methods: A baseline survey was conducted in May, 2023 (T1) by convenient sampling method, and two rounds of longitudinal surveys were conducted in November, 2023 (T2) and May, 2024 (T3) among students in two rural boarding junior high schools in Hebei Province, and a sample of 601 students who completed all the surveys was finally obtained. Students completed questionnaires, including the Delaware Bullying Victimization Scale Student (DBVS-S), the University of California at Los Angeles Loneliness Scale (UCLA), the Ruminative Responses Scale, and the Pittsburgh Sleep Quality Index (PSQI). Group differences were examined by using t-test or ANOVA, correlations between variables were analyzed by using Pearson correlation coefficients, and a serial mediation structural equation model was constructed, with mediation effects tested via the Bootstrap method. Results: Female students scored higher on sleep quality than male students (7.47±2.70, 6.47 ±2.46, t =4.74, P <0.01). Pearson correlation analysis indicated that bullying victimization was positively correlated with loneliness, rumination, and sleep quality; loneliness was positively correlated with rumination and sleep quality; and rumination was positively correlated with sleep quality ( r =0.26, 0.33, 0.23; 0.39, 0.38; 0.54, all P <0.01). Mediation analysis showed that T2 loneliness had an independent mediating effect of 0.70 (95% CI =0.36-1.35) between T1 bullying victimization and T3 sleep quality, T2 rumination had an independent mediating effect of 1.34 (95% CI =0.71-2.45), and the serial mediation effect of T2 loneliness and T2 rumination was 0.64 (95% CI =0.37-1.13), accounting for 22.11% of the total effect (all P <0.01). Conclusions Bullying victimization adversely affects sleep quality among rural boarding junior high school students through a longitudinal chain mediating pathway involving loneliness and rumination. Psychological interventions should be strengthened for students who experience bullying to alleviate their loneliness and reduce rumination, thereby improving sleep quality.

BackgroundResident physicians represent a high-risk group for sleep disorders， exhibiting a significantly higher prevalence of such conditions compared with the general population， which severely impairs their physical and mental health. It is hypothesized that perceived stress negatively impacts sleep quality through psychological mechanisms， such as depleting self-control resources and triggering anxiety. However， this pathway warrants empirical validation. ObjectiveTo explore the mediating role of self-control and anxiety emotions in the association between perceived stress and sleep quality among resident physicians， and to elucidate the underlying psychological mechanisms， aiming at providing theoretical basis for developing targeted psychological interventions. MethodsA cross-sectional survey was conducted in April 2025. First- to third- year resident physicians at a hospital in Fuyang City were recruited as participants （n=372）. The Chinese Perceived Stress Scales （CPSS）， the Chinese version of the Dual-Mode of Self-Control Scale （DMSC-S）， the Pittsburgh Sleep Quality Index （PSQI）， and the Generalized Anxiety Disorder Scale-7 item （GAD-7） were used for group testing. The model 6 of the Process macro version 4.1 was ultilized to examine the mediating pathway of self-control and anxiety emotions between perceived stress and sleep quality. ResultsA total of 322 valid questionnaires were collected， yielding an effective responsive rate of 86.56%. Among the respondents， 146 （45.34%） reported poor sleep quality. The CPSS score and GAD-7 score of resident physicians were positively correlated with the PSQI score （r=0.727， 0.784， P<0.01）， while the DMSC-S score was negatively correlated with the PSQI score （r=-0.615， P<0.01）. Perceived stress directly and positively predicted poor sleep quality （B=0.124， P<0.01）， with the direct effect accounting for 31.39% of the total effect. Furthermore， perceived stress indirectly affected sleep quality through the independent mediating effects of self-control and anxiety emotions. The indirect effect values of 0.053 （95% CI： 0.019 - 0.091） and 0.192 （95% CI： 0.141 - 0.249）， accounting for 13.42% and 48.61% of the total effect， respectively. Perceived stress also impact sleep quality through the serial mediating effect of self-control and anxiety， with the indirect effect value of 0.026 （95% CI： 0.005 - 0.049）， accounting for 6.58% of the total effect. ConclusionThe perceived stress of resident physicians can influence sleep quality by impairing self-control， exacerbating anxiety， and through the serial mediation of both factors.

BACKGROUND:In recent years,numerous studies have shown that autophagy and mitophagy play an important role in the regulation of bone metabolism.Under non-physiological conditions,mitophagy breaks the balance of bone metabolism and triggers metabolism disorders,which affect osteoblasts,osteoclasts,osteocytes,chondrocytes,bone marrow mesenchymal stem cells,etc. OBJECTIVE:To summarize the mechanism of mitophagy in regulating bone metabolic diseases and its application in clinical treatment. METHODS:PubMed,Web of Science,CNKI,WanFang and VIP databases were searched by computer using the keywords of"mitophagy,bone metabolism,osteoblasts,osteoclasts,osteocytes,chondrocytes,bone marrow mesenchymal stem cells"in English and Chinese.The search time was from 2008 to 2023.According to the inclusion criteria,90 articles were finally included for review and analysis. RESULTS AND CONCLUSION:Mitophagy promotes the generation of osteoblasts through SIRT1,PINK1/Parkin,FOXO3 and PI3K signaling pathways,while inhibiting osteoclast function through PINK1/Parkin and SIRT1 signaling pathways.Mitophagy leads to bone loss by increasing calcium phosphate particles and tissue protein kinase K in bone tissue.Mitophagy improves the function of chondrocytes through PINK1/Parkin,PI3K/AKT/mTOR and AMPK signaling pathways.Modulation of mitophagy shows great potential in the treatment of bone diseases,but there are still some issues to be further explored,such as different stages of drug-activated mitophagy,and the regulatory mechanisms of different signaling pathways.

To analyze the epidemiological characteristics of COVID-19 in Fujian Province from the 49th week of 2022 to the 5th week of 2023,after further optimization of China's COVID-19 prevention and control measures on December 7,2022(the 49th week of 2022),this study used multi-dimensional surveillance data to dynamically assess population infection levels and their changing trends.The aim of the study was to provide a scientific basis for early warning of epidemic risk,medical resource allocation,and evalu-ation of socio-economic impact.A multi-source data surveillance system was constructed,encompassing surveillance of fever clinics at medical institutions(weekly collection of visits,positive nucleic acid and antigen test results,inpatients,and severe cases in sec-ondary or above hospitals),population nucleic acid test monitoring(weekly person-times and positivity rates of single-tube tests from the provincial system),sentinel hospital monitoring(weekly proportion of influenza-like illness visits at 18 sentinel hospitals and re-lated viral testing data),and monitoring of novel coronavirus variants(weekly systematic collection of genomic sequences of local and imported cases).Line charts were plotted weekly,and time series analysis,molecular epidemiological methods,and an improved SEIAR model were used to simulate epidemic spread.During the study period,the COVID-19 epidemic in Fujian Province exhibited three distinct stages.In the infection peak stage(52nd week of 2022),the provincial fever clinic visits reached 606 893 person-times,and a 49.2%positivity rate in population single-tube nucleic acid tests and 63.8%positivity rate in sentinel hospital monitoring were observed.In the medical load peak stage(2nd week of 2023),274 460 inpatients and 28 487 severe cases were recorded.In the epidemic decline stage(4th to 5th weeks of 2023),fever clinic visits decreased by 96.3%with respect to the peak,the single-tube nucleic acid test positivity rate decreased to 6.3%,and the sentinel hospital COVID-19 nucleic acid test positivity rate was 6.4%.All 508 sequenced local cases were Omicron variants,predominantly BA.5.2 and its sub-lineages(67.4%).Among 56 imported se-quenced cases,BA.5.2 and its sub-lineages accounted for 50.0%,and 16.1%comprised nine variants of interest including XBB and BQ.The model predicted the infection peak in the 52nd week of 2022,whereas the hospitalization peak lagged by approximately 10.6 days.Multi-source data monitoring revealed a three-stage development of the COVID-19 epidemic in Fujian.The BA.5.2 strain was dominant during the epidemic.The combination of multi-source monitoring data and modeling provides important references for epi-demic prevention and control,and highlights the need to improve the monitoring system in follow-up.

BACKGROUND:The development of calcium phosphate bone cement is limited due to its poor mechanical properties and weak osteogenic ability.Silicate bioactive glass is highly favored due to its excellent biological activity and osteogenic ability.Simultaneously,fiber structures can enhance the mechanical strength of materials.OBJECTIVE:To investigate the mechanical properties,biocompatibility,and osteogenic effect of silicate bioactive glass fiber composite calcium phosphate bone cement.METHODS:Different mass percentages(0％,10％,and 20％)of silicate bioactive glass fiber were added to the solid phase of calcium phosphate bone cement,mixed with the liquid phase and cured for 48 hours to obtain silicate bioactive glass fiber composite calcium phosphate bone cement.The mechanical properties,setting time,and ion precipitation of the cement were characterized.The three groups of bone cement extracts were co-cultured with MC3T3-E1 cells.The cell compatibility of the materials was evaluated by CCK-8 assay,live/dead staining,and phalloidin staining.After osteogenic induction,the osteogenic induction ability of the materials was evaluated by alkaline phosphatase staining,alizarin red staining,RUNX2 immunofluorescence staining,and RT-PCR.RESULTS AND CONCLUSION:(1)With the increase of silicate bioactive glass fiber content,the compressive strength and flexural strength of bone cement increased,and the setting time was prolonged.When bone cement was immersed in simulated body fluid,the precipitation of silicon ions,calcium ions,and phosphorus ions could be detected.Moreover,with the increase of silicate bioactive glass fiber content,the mass concentration of silicon ions and phosphorus ions released by bone cement increased,and the mass concentration of calcium ions decreased.(2)Live/dead staining and phalloidin staining results exhibited that silicate bioactive glass fiber composite calcium phosphate bone cement had no toxic effect on MC3T3-E1 cells.CCK-8 assay results showed that silicate bioactive glass fiber composite calcium phosphate bone cement could promote the proliferation of MC3T3-E1 cells.(3)With the increase of silicate bioactive glass fiber content in bone cement,the alkaline phosphatase activity and extracellular calcium deposition of MC3T3-E1 cells increased,the expression of RUNX2 protein increased,and the expression of alkaline phosphatase,osteocalcin,osteopontin,and RUNX2 mRNA expression increased.(4)The results indicate that silicate bioactive glass fibers can enhance the mechanical properties and osteogenic induction ability of calcium phosphate bone cement,among which 20％silicate bioactive glass fibers have a more obvious effect.

To analyze the epidemiological characteristics of COVID-19 in Fujian Province from the 49th week of 2022 to the 5th week of 2023,after further optimization of China's COVID-19 prevention and control measures on December 7,2022(the 49th week of 2022),this study used multi-dimensional surveillance data to dynamically assess population infection levels and their changing trends.The aim of the study was to provide a scientific basis for early warning of epidemic risk,medical resource allocation,and evalu-ation of socio-economic impact.A multi-source data surveillance system was constructed,encompassing surveillance of fever clinics at medical institutions(weekly collection of visits,positive nucleic acid and antigen test results,inpatients,and severe cases in sec-ondary or above hospitals),population nucleic acid test monitoring(weekly person-times and positivity rates of single-tube tests from the provincial system),sentinel hospital monitoring(weekly proportion of influenza-like illness visits at 18 sentinel hospitals and re-lated viral testing data),and monitoring of novel coronavirus variants(weekly systematic collection of genomic sequences of local and imported cases).Line charts were plotted weekly,and time series analysis,molecular epidemiological methods,and an improved SEIAR model were used to simulate epidemic spread.During the study period,the COVID-19 epidemic in Fujian Province exhibited three distinct stages.In the infection peak stage(52nd week of 2022),the provincial fever clinic visits reached 606 893 person-times,and a 49.2%positivity rate in population single-tube nucleic acid tests and 63.8%positivity rate in sentinel hospital monitoring were observed.In the medical load peak stage(2nd week of 2023),274 460 inpatients and 28 487 severe cases were recorded.In the epidemic decline stage(4th to 5th weeks of 2023),fever clinic visits decreased by 96.3%with respect to the peak,the single-tube nucleic acid test positivity rate decreased to 6.3%,and the sentinel hospital COVID-19 nucleic acid test positivity rate was 6.4%.All 508 sequenced local cases were Omicron variants,predominantly BA.5.2 and its sub-lineages(67.4%).Among 56 imported se-quenced cases,BA.5.2 and its sub-lineages accounted for 50.0%,and 16.1%comprised nine variants of interest including XBB and BQ.The model predicted the infection peak in the 52nd week of 2022,whereas the hospitalization peak lagged by approximately 10.6 days.Multi-source data monitoring revealed a three-stage development of the COVID-19 epidemic in Fujian.The BA.5.2 strain was dominant during the epidemic.The combination of multi-source monitoring data and modeling provides important references for epi-demic prevention and control,and highlights the need to improve the monitoring system in follow-up.

BACKGROUND:The development of calcium phosphate bone cement is limited due to its poor mechanical properties and weak osteogenic ability.Silicate bioactive glass is highly favored due to its excellent biological activity and osteogenic ability.Simultaneously,fiber structures can enhance the mechanical strength of materials.OBJECTIVE:To investigate the mechanical properties,biocompatibility,and osteogenic effect of silicate bioactive glass fiber composite calcium phosphate bone cement.METHODS:Different mass percentages(0％,10％,and 20％)of silicate bioactive glass fiber were added to the solid phase of calcium phosphate bone cement,mixed with the liquid phase and cured for 48 hours to obtain silicate bioactive glass fiber composite calcium phosphate bone cement.The mechanical properties,setting time,and ion precipitation of the cement were characterized.The three groups of bone cement extracts were co-cultured with MC3T3-E1 cells.The cell compatibility of the materials was evaluated by CCK-8 assay,live/dead staining,and phalloidin staining.After osteogenic induction,the osteogenic induction ability of the materials was evaluated by alkaline phosphatase staining,alizarin red staining,RUNX2 immunofluorescence staining,and RT-PCR.RESULTS AND CONCLUSION:(1)With the increase of silicate bioactive glass fiber content,the compressive strength and flexural strength of bone cement increased,and the setting time was prolonged.When bone cement was immersed in simulated body fluid,the precipitation of silicon ions,calcium ions,and phosphorus ions could be detected.Moreover,with the increase of silicate bioactive glass fiber content,the mass concentration of silicon ions and phosphorus ions released by bone cement increased,and the mass concentration of calcium ions decreased.(2)Live/dead staining and phalloidin staining results exhibited that silicate bioactive glass fiber composite calcium phosphate bone cement had no toxic effect on MC3T3-E1 cells.CCK-8 assay results showed that silicate bioactive glass fiber composite calcium phosphate bone cement could promote the proliferation of MC3T3-E1 cells.(3)With the increase of silicate bioactive glass fiber content in bone cement,the alkaline phosphatase activity and extracellular calcium deposition of MC3T3-E1 cells increased,the expression of RUNX2 protein increased,and the expression of alkaline phosphatase,osteocalcin,osteopontin,and RUNX2 mRNA expression increased.(4)The results indicate that silicate bioactive glass fibers can enhance the mechanical properties and osteogenic induction ability of calcium phosphate bone cement,among which 20％silicate bioactive glass fibers have a more obvious effect.

Objective To optimize the extraction process of chlorogenic acid and three other organic acids from Picris hieracioides L.with deep eutectic solvents using response surface methodology.Methods By comparing the extraction rate of organic acids in seven deep eutectic solvents,the best solvent combinations were identified,and the optimal extraction process of organic acids from Picris hieracioides L.was obtained by optimizing the liquid/feed ratio,extraction temperature,extraction time and other parameters using the response surface method on the basis of a one-way experiment.Results The deep eutectic solvent with 30%water content(choline chloride∶urea=1∶2)was effective in extracting organic acids from Picris hieracioides L.The optimal extraction process optimized by response surface method was:extraction temperature 30℃,extraction time 30 min,liquid-solid ratio 20∶1(mL·g-1),the extraction rate of organic acids under this condition was 1.092 9%.Conclusion The deep eutectic solvent optimized through response surface methodology is an efficient,green and eco-friendly extraction method.This study provides a theoretical foundation for the subsequent development and utilization of Picris hieracioides L..

Objective To optimize the extraction process of chlorogenic acid and three other organic acids from Picris hieracioides L.with deep eutectic solvents using response surface methodology.Methods By comparing the extraction rate of organic acids in seven deep eutectic solvents,the best solvent combinations were identified,and the optimal extraction process of organic acids from Picris hieracioides L.was obtained by optimizing the liquid/feed ratio,extraction temperature,extraction time and other parameters using the response surface method on the basis of a one-way experiment.Results The deep eutectic solvent with 30%water content(choline chloride∶urea=1∶2)was effective in extracting organic acids from Picris hieracioides L.The optimal extraction process optimized by response surface method was:extraction temperature 30℃,extraction time 30 min,liquid-solid ratio 20∶1(mL·g-1),the extraction rate of organic acids under this condition was 1.092 9%.Conclusion The deep eutectic solvent optimized through response surface methodology is an efficient,green and eco-friendly extraction method.This study provides a theoretical foundation for the subsequent development and utilization of Picris hieracioides L..

Sigma-1 receptor (σ ₁R) has become a focus point of drug discovery for central nervous system (CNS) diseases. A series of novel 1-phenylethan-1-one O-(2-aminoethyl) oxime derivatives were synthesized. In vitro biological evaluation led to the identification of 1a, 14a, 15d and 16d as the most high-affinity (K _i < 4 nmol/L) and selective σ ₁R agonists. Among these, 15d, the most metabolically stable derivative exhibited high selectivity for σ ₁R in relation to σ ₂R and 52 other human targets. In addition to low CYP450 inhibition and induction, 15d also exhibited high brain permeability and excellent oral bioavailability. Importantly, 15d demonstrated effective antipsychotic potency, particularly for alleviating negative symptoms and improving cognitive impairment in experimental animal models, both of which are major challenges for schizophrenia treatment. Moreover, 15d produced no significant extrapyramidal symptoms, exhibiting superior pharmacological profiles in relation to current antipsychotic drugs. Mechanistically, 15d inhibited GSK3β and enhanced prefrontal BDNF expression and excitatory synaptic transmission in pyramidal neurons. Collectively, these in vivo proof-of-concept findings provide substantial experimental evidence to demonstrate that modulating σ ₁R represents a potential new therapeutic approach for schizophrenia. The novel chemical entity along with its favorable drug-like and pharmacological profile of 15d renders it a promising candidate for treating schizophrenia.