BackgroundIndividuals with schizophrenia are prone to higher rates of hospital readmission， presenting significant clinical challenges and imposing considerable social burdens within the mental health domain. In recent years， various risk prediction models have been developed to forecast readmission in patients with schizophrenia and support clinical decision-making， but their predictive performance and clinical applicability require comprehensive evaluation. ObjectiveTo systematically evaluate the risk prediction models for readmission in patients with schizophrenia， so as to provide insights for the development of high-performance and highly applicable readmission risk prediction models for patients with schizophrenia. MethodsOn July 5， 2025， a systematic literature search was conducted across multiple electronic databases， including PubMed， Embase， Cochrane Library， Web of Science， CINAHL， CNKI， China Biomedical Literature Database， Wanfang Database， and VIP Database， to identify risk prediction models for readmission in patients with schizophrenia. The search period was from the establishment of the databases to July 1， 2025. Two researchers independently performed literature screening， data extraction， risk of bias assessment， and applicability assessment. ResultsA total of 9 studies were included in this review， encompassing 18 risk prediction models for readmission in patients with schizophrenia. Among them， 4 models reported the area under the receiver operating characteristic （ROC） curve （AUC）， ranging from 0.734 to 0.820， 16 models provided AUC values of 0.642–0.879 for internal validation， and 1 model demonstrated an AUC of 0.841 for external validation. Key predictors included disease duration and the concomitant therapy of antipsychotic medications. The risk of bias was assessed as "high" in all included studies. ConclusionThe development of risk prediction models for readmission in patients with schizophrenia remains in an exploratory stage. Although the model exhibits favorable predictive performance， it is associated with a high risk of bias and insufficient performance evaluation.

Objective To explore the efficacy of Da Shuyu Gao(DSG,a formulation developed from the modification of Shuyu Wan and Ziwan Decoction)in treating persistent postural-perceptual dizziness(PPPD)based on the theory of phlegm-qi obstruction.Methods A prospective study was conducted on 120 cases of PPPD patients admitted to the Affiliated Hospital of Shandong University of Traditional Chinese Medicine from January 2022 to July 2023.The patients were randomly divided into a combination group and a control group using a random number table,with 60 patients in each group.The control group received conventional western medicine treatment(Betahistine+Mecobalamin),while the combination group was treated with the decoction of DSG orally in addition to the conventional treatment.The treatment course for the two groups lasted for 2 months.Before and after treatment,the two groups were observed in the changes of traditional Chinese medicine(TCM)syndrome score,Somatic Symptom Self-Rating Scale(SSSRS),Hamilton Anxiety Scale(HAMA)score,Hamilton Depression Scale(HAMD)score,Pittsburgh Sleep Quality Index(PSQI)score,and the frequency and duration of dizziness episodes.After two months of treatment,the clinical efficacy of the two groups was compared.Results(1)After 2 months of treatment,the total effective rate of the combination group was 93.33%(56/60),and that of the control group was 78.33%(47/60).The intergroup comparison(tested by chi-square test)showed that the clinical efficacy of the combination group was significantly superior to that of the control group(P＜0.05).(2)After treatment,the scores of TCM symptoms of dizziness,tinnitus,vexation,irritability,dry mouth,and bitterness in the mouth in both groups were improved compared to those before treatment(P＜0.05),and the combination group showed significant improvement compared with the control group(P＜0.01).(3)After treatment,the scores of the cognitive,imaginative,biological,irritability,and inhibitory dimension of SSSRS,as well as the total scores on the SSSRS were significantly improved in both groups compared to those before treatment(P＜0.05),and the combination group showed significant improvement compared with the control group(P＜0.01).(4)After treatment,HAMA,HAMD,and PSQI scores were significantly decreased in both groups compared to those before treatment(P＜0.05),and the decrease in the combination group was superior to that in the control group(P＜0.01).(5)After treatment,the frequency and duration of dizziness episodes were significantly decreased in both groups compared to those before treatment(P＜0.05),and the decrease in the combination group was superior to that in the control group(P＜0.01).Conclusion DSG,formulated based on the theory of phlegm-qi obstruction and clinical practice,demonstrates significant efficacy in treating PPPD.It is effective in decreasing TCM syndrome scores,alleviating somatic symptoms,improving emotional disorders such as anxiety and depression,enhancing sleep quality,and reducing the frequency and duration of dizziness episodes,thereby improving patients'quality of life.The application of DSG will provide a new approach for the clinical treatment of PPPD.

BACKGROUND: Doxorubicin hydrochloride (DOX) is extensively used in the treatment of various tumors. However, its clinical application is limited due to dose-dependent cardiotoxicity. Currently, few effective strategies exist to mitigate or eliminate DOX-induced cardiomyopathy (DIC). Although ferroptosis is implicated in DIC and its inhibition partially alleviates the condition, the direct targets of DOX in the progression of cardiotoxicity remain unclear. This study aimed to discover the direct targets of DOX in ferroptosis-mediated DIC. METHODS: A DOX pulldown assay was performed to identify proteins specifically binding to DOX in murine hearts, followed by liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify candidate proteins. A cardiac injury mouse model was established by DOX treatment. Based on this, multiple ferroptosis biomarkers were detected by flow cytometry, quantitative real-time polymerase chain reaction, western blotting, immunochemistry, etc. Besides, specific activator and inhibitor of signaling pathways were applied to illuminate molecular mechanisms. RESULTS: Glutathione S-transferase P1 (GSTP1) was identified as a DOX target. GSTP1 activity was inhibited in DOX-treated cardiomyocytes, while its overexpression significantly alleviated DIC. Moreover, GSTP1 overexpression inhibited acyl-CoA synthetase long-chain family member 4 (ACSL4)-dependent ferroptosis. Mechanistically, GSTP1 overexpression suppressed c-Jun N-terminal kinase (JNK) phosphorylation, thereby reducing reactive oxygen species (ROS) production and inhibiting ferroptosis in DIC. CONCLUSIONS This study identifies the DOX/GSTP1/JNK axis as a critical pathway mediating ACSL4-dependent ferroptosis in DIC. GSTP1 is highlighted as a potential key mediator of ferroptosis and a promising therapeutic target for DIC.

Arachidonic acid can be transformed into a variety of metabolites that trigger an inflammatory response through cyclooxygenase, lipoxygenase, cytochrome P450 enzymes, and other metabolic pathways. Moreover, it plays a key role in the occurrence and development of inflammatory diseases. In recent years, multi-target drugs based on the arachidonic acid metabolic pathway have become an important direction of anti-inflammatory drug research. This article summarizes the opportunities and challenges of arachidonic acid metabolic pathways as well as their interference in the development of anti-inflammatory drugs, reviews the research progress of multi-target drug design, synthesis, and anti-inflammatory activity based on the arachidonic acid metabolic pathway, and discusses the difficulties and prospects of multi-target drugs based on metabolic pathways in anti-inflammatory drug development, aiming to provide some reference and inspiration for the study of multi-target anti-inflammatory drugs based on the arachidonic acid metabolic pathway.

OBJECTIVES: Multiple myeloma (MM) is a highly heterogeneous hematologic malignancy, with disease progression driven by cytogenetic abnormalities and a complex bone marrow microenvironment. This study aims to construct a prognostic model for MM based on transcriptomic data and lipid metabolism related genes (LRGs), and to identify potential drug targets for high-risk patients to support clinical decision-making. METHODS: In this study, 2 transcriptomic datasets covering 985 newly diagnosed MM patients were retrieved from the Gene Expression Omnibus (GEO) database. Univariate Cox regression and 101 machine learning algorithms were used for gene selection. An LRG-based prognostic model was constructed using Stepwise Cox (both directions) and random survival forest (RSF) algorithms. The association between the prognostic score and clinical events was evaluated, and model performance was assessed using time-dependent receiver operating characteristic (ROC) curves and the C-index. The added predictive value of combining prognostic scores with clinical variables and staging systems was also analyzed. Differentially expressed genes between high- and low-risk groups were identified using limma and clusterProfiler and subjected to pathway enrichment analysis. Drug sensitivity analysis was conducted using the Genomics of Drug Sensitivity in Cancer (GDSC) database and oncoPredict to identify potential therapeutic targets for high-risk patients. The functional role of key LRGs in the model was validated via in vitro cell experiments. RESULTS: An LRG-based prognostic model (LRG17) was successfully developed using transcriptomic data and machine learning. The model demonstrated robust predictive performance, with area under the curve (AUC) values of 0.962, 0.912, and 0.842 for 3-, 5-, and 7-year survival, respectively. Patients were stratified into high- and low-risk groups, with high-risk patients showing significantly shorter overall survival (OS) and event-free survival (EFS) (both P<0.001) and worse clinical profiles (e.g., lower albumin, higher β2-microglobulin and lactate dehydrogenase levels). Enrichment analysis revealed that high-risk patients were significantly enriched for pathways related to chromosome segregation and mitosis, whereas low-risk patients were enriched for immune response and immune cell activation pathways. Drug screening suggested that AURKA inhibitor BMS-754807 and FGFR3 inhibitor I-BET-762 may be more effective in high-risk patients. Functional assays demonstrated that silencing of key LRG PLA2G4A significantly inhibited cell viability and induced apoptosis. CONCLUSIONS LRGs serve as promising biomarkers for prognosis prediction and risk stratification in MM. The overexpression of chromosomal instability-related and high-risk genetic event-associated genes in high-risk patients may explain their poorer outcomes. Given the observed resistance to bortezomib and lenalidomide in high-risk patients, combination therapies involving BMS-754807 or I-BET-762 may represent effective alternatives.
Humans ; Multiple Myeloma/mortality* ; Prognosis ; Lipid Metabolism/genetics* ; Transcriptome ; Machine Learning ; Male ; Female ; Gene Expression Profiling ; Algorithms

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.

Objective To explore the impact of factors such as economic level,regional differences,and healthcare policies on the medical costs and the clinical treatment behaviors for benign prostatic hyperplasia(BPH)using big data technology.Methods A combination of qualitative and quantitative approaches was employed,including descriptive statistical analysis,central tendency analysis,comparative analysis,and structural analysis to explore regional differences in the treatment of BPH and the underlying causes.Results The mean medical cost per case in the provincial capital city(19 502 yuan)was significantly higher than that in the prefecture-level city(16 526 yuan),with a difference of 2 976 yuan(+18%).Moreover,the cost distribution was more dispersed in the provincial capital([8 370 yuan-26 344 yuan]vs.[9 687 yuan-21 974 yuan]in the prefecture-level city).However,the provincial capital demonstrated better hospitalization efficiency,with a significantly shorter mean length of stay(9.24 days vs 10.21 days,-10.5%).All these differences were statistically significant(P<0.01).Payment methods influenced surgical choices.In the provincial capital,43.99%of patients underwent transurethral resection of the prostate(TURP),with no cases of holmium laser enucleation of the prostate(HOLEP).In contrast,the prefecture-level city reported 22.71%of patients receiving plasmakinetic resection of the prostate(PKRP)and 19.19%undergoing HoLEP.Significant differences were observed in antibiotic utilization patterns.The most commonly used antibiotic in the provincial capital was piperacillin-tazobactam(19.96%),while cefotaxime dominated in the prefecture-level city(21.11%).Notably,ertapenem was frequently used in the provincial capital but rarely in the prefecture-level city,potentially due to cost considerations(P<0.05).Regional preferences were evident in antispasmodic medication;phloroglucinol injection was used in 80%of cases in the prefecture-level city,while anisodamine hydrobromide injection predominated in the provincial capital(P<0.05).For BPH-specific medications,although tamsulosin hydrochloride sustained-release capsules were the primary choice in both regions,the prefecture-level city showed significantly higher usage(80.11%vs 49.17%).Finasteride tablets were more commonly prescribed in the provincial capital(39.03%vs.14.14%,P<0.05).Conclusion Economic levels,healthcare policies,and different hospitals significantly influence clinical decision-making and medical expenses.Hospitals should enhance refined management,while healthcare policy reforms need to advance from multiple perspectives and levels to improve the efficiency and equity of healthcare services.

Objective:To evaluate the perceived level of home exercise behavior in elderly patients with ovarian cancer and analyze its influencing factors, so as to promote home exercise behavior of patients and improve the quality of life.Methods:A total of 227 elderly patients with ovarian cancer from January 1, 2021 to October 1, 2023 in the First Affiliated Hospital, School of Medicine, Zhejiang University were selected by convenience sampling method. A cross-sectional survey was conducted by General Information Questionnaire, Exercise Benefits/Barriers Scale (EBBS), Social Support Rating Scale (SSRS), General Self-efficacy Scale (GSES) and Brief Fatigue Inventory (BFI). The influencing factors on the perceived level of home exercise behavior in elderly patients with ovarian cancer were analyzed.Results:There were 227 elderly female patients with ovarian cancer, including 151 patients aged<70 years old and 76 patients aged ≥70 years old. The scores of EBBS, SSRS, GSES, BFI were (123.37±11.02), (37.68±7.44), (29.35±6.54), (5.82±2.01) points. The perception of exercise behavior was positively correlated with general self-efficacy and social support ( r=0.752, 0.901, both P<0.01), was negatively correlated with cancer-related fatigue ( r=-0.198, P<0.01). The results showed that general self-efficacy, social support, age≥70 years old, no spouse, not being informed of the benefits of exercise,fatigue due to moderate and severe cancer, duration of disease ≥12 months were the influencing factors ( t values were -4.56 - 4.46, all P<0.05). Conclusions:Elderly patients with ovarian cancer need to improve their perception level of home exercise behavior. In the formulation of home exercise behavior for elderly patients with ovarian cancer, education and cognition on the perceived benefits of home exercise behavior should be strengthened, and patients′ physical and mental status should be evaluated before exercise to actively reduce cancer-related fatigue. At the same time, the combination of family support can improve the perceived level of exercise behavior of elderly patients with ovarian cancer at home, so as to promote home exercise behavior of patients.

This study aims to understand the epidemic distribution characteristics,antimicrobial resistance,virulence genes,and biofilm adhesion ability of Enterococcus in yaks on the Tibetan plateau.Three hundred and forty-six fresh yak fecal samples and 311 milk samples were collected from four provinces on the Tibetan plateau(Xizang,Sichuan,Gansu,Qinghai),totaling 657 sam-ples.Bacterial isolation and identification were conducted,followed by 16S rDNA gene detection and the construction of a systematic evolutionary tree.The isolated strains were tested for antimi-crobial resistance and virulence genes using PCR,and sensitivity tests were performed using 18 types of antibiotics.The biofilm adhesion ability of the isolated bacteria was determined using an improved semi-quantitative crystal violet staining method.The results showed that the total isola-tion rate of Enterococcus was 32.27％,with Sichuan having the highest at 60.23％,followed by Gansu,Qinghai,and Tibet autonomous region at 42.70％,23.47％,and 18.31％respectively.In terms of sample types,the isolation rate in fecal samples was 36.71％,and in milk samples,it was 27.33％.Through PCR amplification,bands of approximately 1 400 bp were obtained,and 5 strains were selected for evolutionary analysis,forming a separate cluster.Among the 212 isolated strains,a high resistance to clindamycin,quinupristin-dalfopristin,linezolid,levofloxacin,and erythromycin was observed,with various resistance phenomena,accounting for 60.85％.Only 5 out of 12 resist-ant genes were detected,namely erm(B),tet(L),tet(O),tet(M),and ant(6)-Ia.All 13 virulence genes were detected in Enterococcus,with detection rates in the range of 5.19％to 95.76％,where cpd was 95.75％,gelE was 91.98％,efaA was 86.79％,asal was 86.32％,and the rest ranged from 5.19％to 55.66％.The fsr virulence gene was not detected in Enterococcus from milk sources.Among the isolated strains,3.30％showed medium adhesive ability,48.58％showed weak adhesive ability,and 48.11％showed no adhesive ability.The above research revealed the preva-lence of yak derived Enterococcus,the carrying status of resistance and virulence genes,and the correlation between biofilm phenotypes,laying the foundation for mastering research data on yak-derived Enterococcus in the Tibetan plateau.

Objective:To explore the expressions of long noncoding RNA (lncRNA) homeobox A11 antisense RNA (HOXA11-AS) and lymphoid enhancer-binding factor 1 antisense RNA 1 (LEF1-AS1) in hypopharyngeal carcinoma tissues and their relationships with prognosis.Methods:Prospectively, 80 patients with hypopharyngeal carcinoma who were treated in Handan Central Hospital from February 2019 to February 2021 were selected. The hypopharyngeal carcinoma tissues resected surgically and the adjacent normal tissues (more than 2 cm away from the edge of the cancer tissue) were obtained. The expressions of HOXA11-AS and LEF1-AS1 were detected by real-time fluorescence quantitative polymerase chain reaction (RT-qPCR). The expressions of HOXA11-AS and LEF1-AS1 in hypopharyngeal carcinoma tissues and adjacent normal tissues were compared. The relationships between their expressions and clinicopathological features were analyzed. The Kaplan-Meier method was used to analyze the relationships between high/low expressions of HOXA11-AS and LEF1-AS1 and the prognosis of patients with hypopharyngeal carcinoma.Results:The expressions of HOXA11-AS and LEF1-AS1 in hypopharyngeal carcinoma tissues were higher than those in adjacent normal tissues (all P<0.05). The expressions of HOXA11-AS and LEF1-AS1 in hypopharyngeal carcinoma tissues were related to tumor node metastasis (TNM) stage, degree of differentiation, and lymph node metastasis (all P<0.05). The 3-year overall survival rates of patients with high expressions of HOXA11-AS and LEF1-AS1 in hypopharyngeal carcinoma tissues were lower than those of patients with low expressions (all P<0.05). Conclusions:The expressions of HOXA11-AS and LEF1-AS1 are increased in hypopharyngeal carcinoma tissues, which are related to poor prognosis of patients with hypopharyngeal carcinoma.