ObjectiveTaking Aurantii Fructus Immaturus juice（AFI）-processed Atractylodis Macrocephalae Rhizoma（AMR） as an example， this study aims to systematically compare the volatile and non-volatile components of AMR and its processed products， investigate the key differential components， evaluate their anti-inflammatory activities， and elucidate the synergistic mechanism of processing. MethodsThe chemical compositions of volatile and non-volatile components in AMR and AFI-processed AMR were systematically characterized using gas chromatography-mass spectrometry（GC-MS） and ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）， with relative mass fractions and response values determined separately. Volatile components were identified through searches in the National Institute of Standards and Technology（NIST）17 database， comparison with retention index（RI） and fragmentation pattern matching. Non-volatile components were identified by searching Waters Traditional Chinese Medicine （TCM） spectral library， in conjunction with PubChem and MassBank， characteristic fragmentation patterns and response values were also used to support identification. Differential components were screened using principal component analysis（PCA）， orthogonal partial least squares-discriminant analysis（OPLS-DA）， with variable importance in the projection（VIP） value >1. Components with high log₂fold change（FC） among major differential groups were selected as those exhibiting significant changes before and after processing. The anti-inflammatory activity of the differential compounds was evaluated by assessing their effects on nitric oxide（NO） production in a lipopolysaccharide（LPS）-induced RAW264.7 macrophage model. Enzyme-linked immunosorbent assay（ELISA） was used to detect the effects of the differential components on tumor necrosis factor（TNF）-α， interleukin（IL）-1β， IL-6， and monocyte chemotactic protein（MCP）-1 levels， and immunofluorescence（IF） was employed to assess their effects on nuclear transcription factor（NF）-κB p65 translocation， thereby elucidating the underlying molecular mechanisms. ResultsA total of 36 compounds were identified in the volatile components of AMR and AFI-processed AMR， among which， sesquiterpenes and monoterpenes were significantly increased after processing. In the non-volatile components， 36 compounds were identified， and the main differential components were flavonoids， sesquiterpenoids， and triterpenoids. Flavonoids were the primary differential components distinguishing AMR from its processed products， representing compounds directly introduced during processing. Five compounds， including atractylenolide Ⅲ， tangeritin， nobiletin， hesperidin and narirutin， were selected as representatives of three classes based on their most prominent differential expression among different compound types for subsequent anti-inflammatory activity studies. The results showed that 100 μmol·L^-1 tangerine and narirutin could significantly inhibit LPS-induced NO production（P<0.01） in a concentration-dependent manner. Tangeritin was able to significantly inhibit the levels of TNF-α and MCP-1 secreted by RAW264.7（P<0.05）， while narirutin significantly inhibited the levels of TNF-α， IL-1β， MCP-1 and IL-6（P<0.01）. IF revealed that both tangeritin and narirutin significantly blocked the translocation of NF-κB p65 from the cytoplasm to the nucleus. ConclusionAFI-processed AMR significantly alters the chemical composition profile of AMR， and the newly introduced flavonoid components during processing may be key to its enhanced anti-inflammatory effects.

Background: Acetaminophen (APAP)-induced hepatotoxicity has attracted considerable attention in clinical settings due to the limited treatment options available. Liensinine stands out as a key alkaloid known for its pharmaceutical activities. However, the role of liensinine in mitigating APAP-induced liver injury remains unclear. Objective: The aim of the study was to explore the protective effects of liensinine against APAP-induced liver injury. Methods: C57BL/6 male mice were treated with a dose of 200 mg/kg N-acetylcysteine or varying doses of liensinine (10 or 20 mg/kg) for seven consecutive days. APAP (400 mg/kg, i.g.) was then administered to induce liver damage for 12 hours. Blood samples and hepatic tissues were collected for further analysis. Liver enzyme levels and histopathological analysis were employed to assess liver injury. RNA-seq was conducted to evaluate the dynamic changes in gene expression. Biochemical assays were used to measure oxidative stress and inflammation, while the TUNEL assay was performed to assess hepatocyte apoptosis. Results: The results demonstrated that the administration of liensinine mitigated serum liver enzyme levels and tissue damage resulting from APAP overdose. Transcriptome analysis revealed significant and coordinated changes in genes related to the peroxisome proliferator-activated receptor signaling pathway, mitogen-activated protein kinase signaling pathway, and apoptosis pathway in response to APAP-induced hepatotoxicity. The expression alterations of key genes within these three pathways, associated with inflammation, oxidative stress, and cell apoptosis, were reversed by liensinine, indicating its potential in alleviating APAP-induced liver damage through multiple signaling pathways. This suggests the diverse therapeutic effects of liensinine, including inflammation suppression, oxidative stress reduction, and cell apoptosis inhibition. Indeed, pretreatment with liensinine effectively reduced inflammatory cytokines, oxidative stress indicators, and apoptotic cells induced by APAP. Conclusions: Liensinine mitigates APAP-induced hepatotoxicity in mice through multifaceted pathways, providing anti-inflammatory, antioxidant, and anti-apoptotic benefits.

Background: Acetaminophen (APAP)-induced hepatotoxicity has attracted considerable attention in clinical settings due to the limited treatment options available. Liensinine stands out as a key alkaloid known for its pharmaceutical activities. However, the role of liensinine in mitigating APAP-induced liver injury remains unclear. Objective: The aim of the study was to explore the protective effects of liensinine against APAP-induced liver injury. Methods: C57BL/6 male mice were treated with a dose of 200 mg/kg N-acetylcysteine or varying doses of liensinine (10 or 20 mg/kg) for seven consecutive days. APAP (400 mg/kg, i.g.) was then administered to induce liver damage for 12 hours. Blood samples and hepatic tissues were collected for further analysis. Liver enzyme levels and histopathological analysis were employed to assess liver injury. RNA-seq was conducted to evaluate the dynamic changes in gene expression. Biochemical assays were used to measure oxidative stress and inflammation, while the TUNEL assay was performed to assess hepatocyte apoptosis. Results: The results demonstrated that the administration of liensinine mitigated serum liver enzyme levels and tissue damage resulting from APAP overdose. Transcriptome analysis revealed significant and coordinated changes in genes related to the peroxisome proliferator-activated receptor signaling pathway, mitogen-activated protein kinase signaling pathway, and apoptosis pathway in response to APAP-induced hepatotoxicity. The expression alterations of key genes within these three pathways, associated with inflammation, oxidative stress, and cell apoptosis, were reversed by liensinine, indicating its potential in alleviating APAP-induced liver damage through multiple signaling pathways. This suggests the diverse therapeutic effects of liensinine, including inflammation suppression, oxidative stress reduction, and cell apoptosis inhibition. Indeed, pretreatment with liensinine effectively reduced inflammatory cytokines, oxidative stress indicators, and apoptotic cells induced by APAP. Conclusions: Liensinine mitigates APAP-induced hepatotoxicity in mice through multifaceted pathways, providing anti-inflammatory, antioxidant, and anti-apoptotic benefits.

Background: Acetaminophen (APAP)-induced hepatotoxicity has attracted considerable attention in clinical settings due to the limited treatment options available. Liensinine stands out as a key alkaloid known for its pharmaceutical activities. However, the role of liensinine in mitigating APAP-induced liver injury remains unclear. Objective: The aim of the study was to explore the protective effects of liensinine against APAP-induced liver injury. Methods: C57BL/6 male mice were treated with a dose of 200 mg/kg N-acetylcysteine or varying doses of liensinine (10 or 20 mg/kg) for seven consecutive days. APAP (400 mg/kg, i.g.) was then administered to induce liver damage for 12 hours. Blood samples and hepatic tissues were collected for further analysis. Liver enzyme levels and histopathological analysis were employed to assess liver injury. RNA-seq was conducted to evaluate the dynamic changes in gene expression. Biochemical assays were used to measure oxidative stress and inflammation, while the TUNEL assay was performed to assess hepatocyte apoptosis. Results: The results demonstrated that the administration of liensinine mitigated serum liver enzyme levels and tissue damage resulting from APAP overdose. Transcriptome analysis revealed significant and coordinated changes in genes related to the peroxisome proliferator-activated receptor signaling pathway, mitogen-activated protein kinase signaling pathway, and apoptosis pathway in response to APAP-induced hepatotoxicity. The expression alterations of key genes within these three pathways, associated with inflammation, oxidative stress, and cell apoptosis, were reversed by liensinine, indicating its potential in alleviating APAP-induced liver damage through multiple signaling pathways. This suggests the diverse therapeutic effects of liensinine, including inflammation suppression, oxidative stress reduction, and cell apoptosis inhibition. Indeed, pretreatment with liensinine effectively reduced inflammatory cytokines, oxidative stress indicators, and apoptotic cells induced by APAP. Conclusions: Liensinine mitigates APAP-induced hepatotoxicity in mice through multifaceted pathways, providing anti-inflammatory, antioxidant, and anti-apoptotic benefits.

Objective To analyze current status of scientific paper publication in a prefecture-level tertiary hospital over the period from 2018 to 2023 to provide a theoretical basis for the hospital to strengthen scientific research management.Methods A database was established using Excel 2013.Statistical analyses were performed using SAS 9.4 to describe and analyze the volume of publications,their distribution across journals,and the relevant professional disciplines.Chi-square test was utilized for inter-group comparisons,while multiple logistic regression analysis was employed to assess the impact of variables such as au-thor gender,age,educational attainment,and professional title on the likelihood of publishing in high-quality journals.Results Between 2018 and 2023,the hospital staff published a total of 1 019 papers,averaging 170 papers annually.Among these,441 were classified as high-quality papers,which included 144 indexed in SCI,with an average journal impact factor of 4.49 and an average citation count of 6.84 per paper.The Surgery and Anesthesia Center,Oncology Center,and Clinical Medical Research Center,among other key professional disciplines,published the most high-quality journal papers,accounting for 22.68％,while 41 general disciplines accounted for only 46.94％.Multiple logistic regression analysis showed that authors with as-sociate senior professional titles(OR=2.013,95％CI=1.456～2.782),full senior professional titles(OR=2.003,95％CI=1.002～4.004),master's degrees(OR=5.039,95％CI=2.046～12.406),and doctoral degrees(OR=28.242,95％CI=8.201～97.257)had a higher proportion of publications in high-quality journals.An active group of authors initially formed with-in the hospital.Conclusion The proportion of high-quality journal publications from the hospital has shown a consistent annual increase,largely attributed to the contributions of highly educated authors.Nevertheless,the overall volume of publications re-mains relatively low,with disparities evident across various professional disciplines and a low conversion rate of scientific and technological achievements.Furthermore,the quality of SCI papers needs improvement.Continued policy support and institution-al safeguards are required to promote discipline development and talent cultivation,thereby facilitating the sustainable develop-ment of scientific research in the hospital.

Objective To analyze current status of scientific paper publication in a prefecture-level tertiary hospital over the period from 2018 to 2023 to provide a theoretical basis for the hospital to strengthen scientific research management.Methods A database was established using Excel 2013.Statistical analyses were performed using SAS 9.4 to describe and analyze the volume of publications,their distribution across journals,and the relevant professional disciplines.Chi-square test was utilized for inter-group comparisons,while multiple logistic regression analysis was employed to assess the impact of variables such as au-thor gender,age,educational attainment,and professional title on the likelihood of publishing in high-quality journals.Results Between 2018 and 2023,the hospital staff published a total of 1 019 papers,averaging 170 papers annually.Among these,441 were classified as high-quality papers,which included 144 indexed in SCI,with an average journal impact factor of 4.49 and an average citation count of 6.84 per paper.The Surgery and Anesthesia Center,Oncology Center,and Clinical Medical Research Center,among other key professional disciplines,published the most high-quality journal papers,accounting for 22.68％,while 41 general disciplines accounted for only 46.94％.Multiple logistic regression analysis showed that authors with as-sociate senior professional titles(OR=2.013,95％CI=1.456～2.782),full senior professional titles(OR=2.003,95％CI=1.002～4.004),master's degrees(OR=5.039,95％CI=2.046～12.406),and doctoral degrees(OR=28.242,95％CI=8.201～97.257)had a higher proportion of publications in high-quality journals.An active group of authors initially formed with-in the hospital.Conclusion The proportion of high-quality journal publications from the hospital has shown a consistent annual increase,largely attributed to the contributions of highly educated authors.Nevertheless,the overall volume of publications re-mains relatively low,with disparities evident across various professional disciplines and a low conversion rate of scientific and technological achievements.Furthermore,the quality of SCI papers needs improvement.Continued policy support and institution-al safeguards are required to promote discipline development and talent cultivation,thereby facilitating the sustainable develop-ment of scientific research in the hospital.

Objective:A machine learning algorithm was used to develop a predictive model of self-injury among college students and to explore the high-risk factors for self-injury among college students.Methods:From November to December 2022, a convenience sample of 791 college students from a university in Hebei Province was selected.Whether the self-injurious behavior occurred or not was regarded as an outcome variable.The basic demographics data were collected for statistical analysis.The adolescent self-harm questionnaire, the acquired helplessness scale, the Chinese version of the interpersonal needs questionnaire, the adolescent life events scale, and the childhood traumatic experiences questionnaire were used for assessment.The predictor variables were statistically analyzed by SPSS 26.0 software, and the performance of the model was evaluated by random forest, support vector machine and logistic regression so as to predict the self-injury behavior of college students.The model performance was evaluated by the accuracy, F1 score, sensitivity, specificity, and AUC value of the model, and the optimal model was selected.Finally, the optimal model was used to analyze the high-risk factors of college students' self-injury behaviors.Results:(1) The results of one-way ANOVA showed that the detection rate of self-injury behavior among college students was 42.4%(335/791), and the detection rate of male students was significantly higher than that of female students ( χ2=14.139, P<0.05). Individuals with lower-middle monthly household income(RMB 3 000-5 999) had a significantly higher detection rate of self-injury behavior than those with other monthly household income( P<0.05). (2) The accuracy of random forest, support vector machine, and logistic regression models were 85.53%, 85.96%, and 68.86%, F1 scores were 0.853, 0.864, and 0.676, and sensitivities were 83.91%, 89.04%, and 64.91%, respectively.The AUCs of support vector machine, logistic regression models and random forest were 0.89, 0.73 and 0.92.(3) The top ten characteristic variables of high risk factors for college students' self-injury behaviors based on the random forest algorithm with better predictive efficacy were emotional abuse, frustration of belonging, helplessness, interpersonal relationship factor, despair, emotional neglect, academic stress factor, monthly family income, perception of tiredness, and health adaptation factor, in that order. Conclusions:Random forest is optimal for predicting self-injury behavior among college students compared to support vector machine and logistic regression.Factors influencing self-injury behavior among college students originate from environmental factors, individual factors and interpersonal factors.

Objective: To understand the characteristics of injuries among rural children, and to determine the relationships between school-level factors with anxiety among injury-prone children, to provide a reference for making effective measures to prevent and control the injuries. Methods: A cross-sectional survey was conducted in the Qingxin District of Qingyuan City. Six primary schools and middle schools were randomly selected from two towns. A total of 5 250 students in grades 3-9 were investigated. Students filled out the questionnaire themselves. Screen for Child Anxiety Related Emotional Disorders (SCARED) was used to assess anxiety. Results: Among the 770 rural children who suffered injuries during the past year, the leading cause of injury was falling(44.62%), falling at home(29.61%), getting injuried in low limbs(29.45%), getting injuried by oneself (41.00%) and mainly unintentional injuries(68.66%) . About 35.06% of children reported anxiety symptoms. Approximately 14.94% of children were injury-prone type. Significant differences in educational stage, boarding school, fighting involvement, and somatization/panic between injury-prone children were found in control group(P<0.05). The robust Poisson-GEE model showed that primary school students in high grade and middle grade, fighting with classmates, somatic/panic associated with injury risk (PR value was 2.11, 1.75, 1.58 and 1.58, respectively). Conclusion Injury-prone children in rural are affected by school-level factors as well as anxiety symptoms. In addition to safety education, mental health promotion and prevention of school bullying should be adopted in schools.