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）］

Objective To explore the prevalence of depressive symptoms in postoperative patients with ovarian cancer and to analyze its influencing factors from multiple dimensions, including clinical characteristics, psychological factors, and laboratory indicators. Methods A cross-sectional study was conducted, which enrolled 235 postoperative patients with ovarian cancer. Depressive status was assessed using the patient health questionnaire, and the demographic, pathological, and medical record data of the patients were collected using the generalized anxiety disorder scale, Pittsburgh sleep quality index, European organization for research and treatment of cancer quality of life questionnaire core 30, and ECOG performance status score. Peripheral blood tumor marker (CA125), routine blood test, lymphocyte subsets, and serum cytokine levels were measured. Univariate and multivariate binary logistic regression analysis were used for statistical analysis. Results The prevalence of depression in postoperative patients with ovarian cancer was 39.15% (92/235). Univariate analysis showed that ECOG score ≥ 2 points, pain, anxiety, poor sleep quality, low quality of life, low life satisfaction, tumor recurrence, six or more cycles of chemotherapy, as well as higher levels of CA125, NLR, and NAR, and lower hemoglobin levels were significantly associated with depression (all P<0.05). Multivariate binary Logistic regression analysis showed that anxiety (OR=1.975, 95%CI: 1.231-3.170), sleep efficiency (OR=4.181, 95%CI: 1.211-14.43), sleep latency (OR=34.806, 95%CI: 4.258-284.542), ECOG performance status score, cognitive function (OR=0.918, 95%CI: 0.868-0.97), and life satisfaction were independent risk factors for depression (all P<0.05). Laboratory indicators were not independent influencing factors in the multivariate Logistic regression model. Conclusion Depression in postoperative patients with ovarian cancer is influenced by physiological, psychological, and social factors. Clinical management should focus on patients with anxiety, sleep disorders, poor physical condition, and low life satisfaction, and a comprehensive prevention and treatment strategy centered on psychological intervention and taking into account symptom management and social support should be implemented.

ObjectiveTo investigate the effect of trophoblast-derived mesenchymal stem cell （T-MSC） on concanavalin A （Con A）-induced immune-mediated liver injury in mice， as well as its association with the changes in inflammatory response. MethodsMorphological assessment， flow cytometry， and tri-lineage differentiation assay were used to observe the biological characteristics of T-MSC. In the pilot experiment， mice were divided into PBS group， T-MSC monotherapy group， and Con A groups at a concentration of 10， 15， or 20 mg/kg to evaluate the safety of T-MSC monotherapy on liver function and determine the appropriate dose for modeling. In the formal experiment， mice were divided into healthy control group （HC group）， Con A group， and Con A+T-MSC group， with 5 mice in each group. The mice were given injection of Con A （15 mg/kg） via the caudal vein to establish a mouse model of immune-mediated liver injury， while the mice in the T-MSC monotherapy group were given transfusion of 1×10⁶ T-MSCs via the caudal vein at 3 hours after modeling， and samples were collected 12 hours later. The serum levels of alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， and lactate dehydrogenase （LDH） were measured； liver histopathological changes were observed， and Ishak inflammatory activity score and inflammatory necrosis area were assessed； the serum levels of inflammatory cytokines were measured； transcriptome sequencing， immunofluorescence assay， and Western blot were used to measure the changes in inflammation-related molecules in liver tissue. The Shapiro-Wilk test was used to assess the normality of continuous data， and the homogeneity of variance test was also performed； a one-way analysis of variance was used for comparison of normally distributed data with homogeneity of variance between multiple groups， and the Tukey’s post-hoc test was used for further comparison between two groups； the Kruskal-Wallis H test was used for comparison of non-normally distributed data with heterogeneity of variance between multiple groups， and the Wilcoxon test was used for further comparison between two groups. ResultsT-MSC had a long spindle shape， showed the characteristics of fibroblast-like morphology and adherent growth， and possessed the osteogenic， chondrogenic， and adipogenic differentiation abilities. Flow cytometry showed high expression levels of CD90， CD105， and CD73 in T-MSC， with a positive rate of 96.8%， 99.0%， and 99.9%， respectively， while there was low or no expression of CD31， human leukocyte antigen DR， CD45， and CD34， with a positive rate of 0.120%， 0， 0.061%， and 0， respectively. Administration of T-MSC alone did not cause obvious abnormalities in ALT， AST， or LDH. Con A at the concentrations of 10， 15， and 20 mg/kg all increased the serum levels of biochemical parameters for liver injury in a dose-dependent manner， with mortality observed in the 20 mg/kg group. In the formal experiment， compared with the HC group， the Con A group had significant increases in the serum levels of ALT， AST， and LDH （P<0.01）， and after T-MSC treatment， there were significant reductions in these markers compared with the Con A group （P<0.01）. HE staining showed that the Con A group had disordered structure of the liver， accompanied by marked inflammatory cell infiltration and focal/patchy necrosis， and these pathological changes were alleviated after T-MSC treatment. Compared with the HC group， the Con A group had significant increases in Ishak score and the percentage of inflammatory necrosis area （P<0.001）， while there were significant reductions in these indicators after T-MSC treatment compared with the Con A group （P<0.01）. ELISA showed that compared with the HC group， the Con A group had significant increases in the serum levels of interleukin-21 （IL-21）， interleukin-1β （IL-1β）， interleukin-2 （IL-2）， interleukin-17A （IL-17A）， and tumor necrosis factor-α （TNF-α） （P<0.05）， and there were significant reductions in these markers after T-MSC treatment compared with the Con A group （P<0.05）， with no significant differences in IL-21， IL-1β， IL-17A， and TNF-α compared with the HC group （P>0.05）； although there was a significant reduction in the level of IL-2， the Con A+T-MSC group still had a significantly higher level of IL-2 than the HC group （P=0.001）. In contrast， compared with the HC group， the Con A group had a significant increase in IL-10 （P<0.05）， with a further increase after T-MSC treatment （P<0.05）. The transcriptome analysis showed that T-MSC treatment downregulated the expression of the inflammation- and chemokine-related genes including Ccl2， Cxcl10， Il-21， and Il-6 and inhibited the inflammation-related pathways such as TNF， IL-17， nuclear factor-κB， and JAK-STAT. Immunofluorescence assay showed that compared with the HC group， the Con A group had a significant increase in the expression of IL-21 in the liver （P<0.001）， and there was a significant reduction in IL-21 after T-MSC treatment compared with the Con A group （P<0.001）； the results of Western blot showed the same trend. ConclusionT-MSC can alleviate Con A-induced immune-mediated liver injury in mice， as evidenced by the improvement in liver biochemical parameters， the alleviation of histopathological damage， and the overall downregulation of inflammation-related molecules. T-MSC exerts marked anti-inflammatory and immunomodulatory effects in this model， and IL-21 shows a significant change in inflammatory response and can be used as a candidate molecule for further investigation.

To explore the role of the "Clinical Practice Guidelines" column and others in the Medical Joumnal of Peking Union Medical College Hospital (Med J PUMCH) in promoting diseiplinary development.

To clarify the occurrence and distribution of broad bean wilt virus 2(BBWV2) on Rehmannia glutinosa, this study collected 87 R. glutinosa samples with typical symptoms of viral disease such as chlorosis and crumple from Wenxian county and Wuzhi county in Jiaozuo city, Henan province and Qiaocheng district in Bozhou city, Anhui province. The BBWV2 CP target band was amplified from 37 R. glutinosa samples by RT-PCR technology. The total detection rate reached 42.5%, among which 43.0% was detected in samples from Henan province. The detection rate in samples from Anhui province was 37.5%. 37 BBWV2 CP sequences were obtained by cloning and sequencing of BBWV2 positive samples(data has been submitted to GenBank, accession numbers: PP407959-PP407995), and the sequence analysis of these CP sequences with 91 other BBWV2 isolates in GenBank showed a high genetic diversity with a consistency rate of 70.8%-100%. Meanwhile, phylogenetic analysis showed that BBWV2 could be divided into three groups according to CP sequences, among which the BBWV2 in R. glutinosa isolates obtained in this study were all located in group 3. This study identified the differences in the occurrence, distribution, and genetic diversity of BBWV2 in R. glutinosa from Henan province and Anhui province and provided a theoretical basis for the prevention and control of BBWV2.
Rehmannia/virology* ; Phylogeny ; Plant Diseases/virology* ; China ; Molecular Sequence Data ; Fabavirus/classification*

This study aims to explore the scientific connotation of sinking Rehmanniae Radix has the best quality and compare the quality between floating and sinking fresh Rehmanniae Radix samples. Ultra-performance liquid chromatography tandem quadrupole electrostatic field Orbitrap high-resolution mass spectrometry(UHPLC-Q-Orbitrap HRMS) was employed to detect the chemical components in floating and sinking fresh Rehmanniae Radix samples. The fingerprint of fresh Rehmanniae Radix was established by high performance liquid chromatography(HPLC), and four index components were determined simultaneously. The cluster analysis, principal component analysis(PCA), and orthogonal partial least squares-discriminant analysis(OPLS-DA) were conducted to compare the quality of floating and sinking fresh Rehmanniae Radix samples. An evaporative light-scattering detector was used to compare the content of five sugars. The extract yield and drying rate were determined, and the quality connotation of sinking Rehmanniae Radix has the best quality was explained by multiple indicators. A total of 41 components were preliminarily identified from fresh Rehmanniae Radix by UHPLC-Q-Orbitrap HRMS, including 7 iridoid glycosides, 9 phenylethanol glycosides, 6 amino acids, 4 sugars, 3 phenolic acids, 5 nucleosides, 3 organic acids, 1 ionone, 1 furan, 1 coumarin, and 1 phenylpropanoid. The results showed that the main chemical components were consistent between floating and sinking fresh Rehmanniae Radix. Nine common peaks were identified in the fingerprints of 15 batches of floating and sinking fresh Rehmanniae Radix samples, and the similarity of fingerprints was greater than 0.9. The cluster analysis, PCA, and OPLS-DA classified floating and sinking fresh Rehmanniae Radix sasmples into two categories, indicating differences in the quality between them. The total content of catalpol, rehmannioside D, ajugol, and verbascoside in sinking fresh Rehmanniae Radix samples was higher than that in floating samples of the same batch and specification, and the main differential component was catalpol. The total content of fructose, glucose, sucrose, raffinose, and stachyose in sinking fresh Rehmanniae Radix samples was higher than that in floating samples of the same batch and specification, and the main differential component was stachyose. The extract yield and drying rate of the sinking samples were higher than those of floating samples. This study preliminarily showed that floating and sinking fresh Rehmanniae Radix samples had the same components but great differences in the content of medicinal substance basis. The total content of four glycosides and five sugars, extract yield, and drying rate of sinking fresh Rehmanniae Radix samples is higher than that of floating samples of the same batch and specification. These findings, to a certain extent, explains the scientificity of sinking Rehmanniae Radix has the best quality recorded in ancient books and provide a reference for the quality control and clinical application of fresh Rehmanniae Radix.
Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Rehmannia/chemistry* ; Chemometrics ; Mass Spectrometry/methods* ; Quality Control ; Principal Component Analysis ; Plant Extracts

OBJECTIVE: To explore the relationship between the geriatric nutritional risk index (GNRI) and cognitive function. METHODS: A cross-sectional study method was conducted. People aged ≥ 60 years from the National Health and Nutrition Examination Survey (NHANES) databases from 1999 to 2002 and 2011 to 2014 were included as study subjects. The participants were divided into three groups based on their GNRI scores: a medium-high risk group (82 ≤ GNRI < 92), a low risk group (92 ≤ GNRI < 98), and a no-risk group (GNRI ≥ 98). Demographic characteristics (gender, age, race, education), chronic diseases [chronic bronchitis, emphysema, thyroid problems, coronary heart disease, angina pectoris, stroke, hypertension, diabetes mellitus, and depression score on the patient health questionnaire (PHQ-9)], lifestyle habits (history of smoking, hours of sleep), etc., were collected. Cognitive function was assessed using the consortium to establish a registry for Alzheimer's disease word learning subtest (CERAD-WL), animal fluency test (AFT), and digit symbol substitution test (DSST) for the 2011-2014 data, while only the DSST was used for the 1999-2002 data. Differences in the above information among the GNRI cohorts were compared. Factors affecting cognitive function in the population were analyzed using multifactorial Logistic regression. RESULTS: 2 653 participants from 2011 to 2014 and 2 380 participants from 1999 to 2002 were enrolled, with a total of 5 033 participants in the study. There were statistically significant differences in age, stroke, diabetes mellitus, DSST score, AFT score, CERAD score test 1 recall (Cst1), and CERAD score test 2 recall (Cst2) among the GNRI groups. Multifactorial Logistic regression analysis of data from 2011 to 2014 showed that in model 3 (DSST score, age, gender, race, marriage, education, hours of sleep, history of smoking, emphysema, thyroid problems, chronic bronchitis, coronary heart disease, angina pectoris, hypertension, diabetes mellitus, depression score on the PHQ-9, and stroke) adjusted for all covariates, GNRI was a protective factor for DSST [odds ratio (OR) = 1.03, 95% confidence interval (95%CI) was 1.00 to 1.05, P = 0.03]; Logistic regression analyse for 1999 to 2002 and 2011 to 2014 showed a significant association even after adjustment for covariates (OR = 1.02, 95%CI was 1.00 to 1.03, P = 0.02). Subgroup Logistic regression analyses of the total population from 2011 to 2014 showed a significant association between GNRI and DSST scores (OR = 1.02, 95%CI was 1.01 to 1.03, P < 0.001), with significant associations in the age subgroups of 60 to 64 years old, across gender, non-Hispanic Whites and Blacks, by education, and by marital status associations were significant (all P < 0.05). Subgroup Logistic regression analyse of the total populations from 1999 to 2002 and 2011 to 2014 showed a significant association between the GNRI and DSST score (OR = 1.01, 95%CI was 1.01 to 1.02, P < 0.001), but did not show a significant year difference (interaction P = 0.503), and the newly found in the smoking population the association was also more significant (P < 0.01). CONCLUSION The GNRI correlates with the presence of cognitive functions related to processing speed, sustained attention, and executive function, and may be able to serve as an indicator for the assessment or prediction of related cognitive functions.
Humans ; Cross-Sectional Studies ; Aged ; Middle Aged ; Nutrition Surveys ; Cognition ; Female ; Male ; Nutritional Status ; Risk Factors ; Geriatric Assessment

As global greenhouse gases continue rising, the urgency of more ambitious action is clearer than ever before. China is the world's biggest emitter of greenhouse gases and one of the countries affected most by climate change. The evidence about the impacts of climate change on the environment and human health may encourage China to take more decisive action to mitigate greenhouse gas emissions and adapt to climate impacts. This article aimed to review the evidence of environmental damages and health risks posed by climate change and to provide a new science-based perspective for the delivery of sustainable development goals. Over recent decades, China has experienced a strong warming pattern with a growing frequency of extreme weather events, and the impacts of climate change on China's environment and human health have been consistently observed, with increasing O ₃ air pollution, decreases in water resources and availability, land degradation, and increased risks for both communicable and non-communicable diseases. Therefore, China's climate policy should target the key factors driving climate change and scale up strategic measures to curb carbon emissions and adapt to inevitable increasing climate impacts. It provides new insights for not only China but also other countries, particularly developing and emerging economies, to ensure climate and environmental sustainability whilst pursuing economic growth.
Climate Change ; China ; Humans ; Greenhouse Gases ; Air Pollution ; Sustainable Development ; Environment

Recent studies have identified a missense mutation in the β1-receptor (ADRB1-A187V) that exerts a pronounced impact on human sleep, with a noted decrease in protein abundance in vivo. The administration of β-blockers is frequently associated with sleep disturbances in clinical settings. In this study, we assessed the influence of various β-blockers on sleep within mouse models. Our findings indicated that β-blockers could induce varying degrees of arousal, sleep disruption, and a decrease in REMS (rapid eye movement sleep). We examined the dose-dependent effects of metoprolol and nebivolol on both sleep and cardiac functionality in both wild-type and Adrb1-A187V mutant mice. Our data suggested that, in contrast to cardiac effects, higher doses of metoprolol are required to have noted impact on sleep. No genotype effect was observed with metoprolol in terms of sleep or cardiac function. In contrast, the mutant mice demonstrated increased sensitivity to nebivolol, which exacerbated sleep fragmentation and impeded the onset of REMS. This study is expected to provide some reference for minimizing the occurrence of sleep disorders and reducing the adverse reactions of drugs to the greatest extent.

Objective To investigate the changes and clinical significance of pyroptosis and inflammation in children with acute lymphoblastic leukemia after chemotherapy.Methods A retrospective analysis was con-ducted on the clinical data of 98 children with acute lymphoblastic leukemia who received chemotherapy in the pediatrics and hematology and oncology departments of the hospital from May 2023 to August 2024.Accord-ing to the results of blood culture,the selected children were divided into the Gram-positive bacteria group,the Gram-negative bacteria group,the fungal group and the non-bloodstream infection group,and drug sensitivity tests were conducted.After chemotherapy,the children were divided into the granulocytosis group and the non-granulocytosis group according to the granulocyte level.The relevant indicators were detected and com-pared by methods such as blood routine,flow microsphere array technology,enzyme-linked immunosorbent assay(ELISA),and Western blot.Results After chemotherapy,the pyroptosis related indicators caspase-1,caspase-4,caspase-5,caspase-11,interleukin(IL)-1 β,IL-18,the proportion of pyroptosis cells and the relative expression level of GSDMD protein in children of each infection type were significantly increased compared with those before chemotherapy(P＜0.05).After chemotherapy,the levels of IL-4,IL-6,IL-10 and interfer-on-γ(IFN-γ)in the granulocytosis group were significantly higher than those in the non-granulocytosis group(P＜0.05),and the granulocyte level was negatively correlated with the levels of IL-4,IL-6,IL-10 and IFN-γ(P＜0.05).There were statistically significant differences in the levels of IL-4,IL-6,IL-10 and IFN-γ in dif-ferent infection states after chemotherapy(P＜0.05).Conclusion The number of granulocytes and the levels of serum cytokines can serve as potential indicators of infection in children with leukemia.The regulation of pyroptosis may provide new strategies for the treatment of childhood leukemia.