ObjectiveThis study aims to investigate the molecular mechanism by which Guizhi Fulingwan （GFW） inhibits ferroptosis in endometriosis （EMT） through the regulation of the hypoxia inducible factor-1α/heme oxygenase 1 （HIF-1α/HO-1） signaling pathway. MethodsMachine learning was employed to identify ferroptosis-related biomarkers associated with EMT. Network pharmacology was utilized to identify the active components of GFW and its potential therapeutic targets against EMT， including core targets. Functional enrichment analysis was conducted to explore the biological processes， molecular functions， cellular components， and signaling pathways associated with the potential targets. An EMT rat model was established via autologous transplantation. Thirty female Sprague-Dawley （SD） rats were randomly divided into five groups： sham-operated， model， positive control （dienogest at 0.2 mg·kg^-1）， low-dose GFW （2.5 g·kg^-1）， and high-dose GFW （5 g·kg^-1）. After modeling， the rats received their respective treatment by oral gavage for 28 consecutive days， while the sham and model groups received equal volumes of distilled water. Serum and ectopic endometrial tissues were collected. Hematoxylin and eosin （HE） staining was employed to evaluate morphological alterations in ectopic lesions. Quantitative real-time polymerase chain reaction （Real-time PCR） and Western blot were conducted to assess mRNA and protein expression of HIF-1α， HO-1， glutathione peroxidase 4 （GPX4）， spermidine/spermine N1-acetyltransferase （SAT1）， and prostaglandin-endoperoxide synthase 2 （PTGS2）. Tissue levels of malondialdehyde （MDA）， glutathione （GSH）， and ferrous iron （Fe²⁺） were quantified using commercial assay kits. Serum levels of interleukin-6 （IL-6） and transforming growth factor-β₁ （TGF-β₁） were measured via enzyme-linked immunosorbent assay （ELISA）. ResultsFive ferroptosis-related biomarkers in EMT were identified： ALOX12， CHAC1， SAT1， AST1， and HO-1. Network pharmacology analysis revealed 42 active components of GFW and 192 potential therapeutic target genes related to EMT treatment， with FOS， JUN， HO-1 identified as core targets. Functional enrichment analysis indicated that the potential targets were primarily involved in oxidative stress response and reactive oxygen species metabolism and were enriched in the HIF-1 signaling pathway. Compared to the sham-operated group， the model group exhibited significant increases in both mRNA and protein expression of HIF-1α， HO-1， and PTGS2， as well as elevated tissue levels of Fe²⁺ and MDA. Conversely， GSH levels and the expression of GPX4 and SAT1 were markedly reduced， and serum levels of IL-6 and TGF-β₁ levels were significantly higher （P<0.01）. Compared with the model group， all GFW-treated groups showed significant downregulation of HIF-1α and HO-1， reduced Fe²⁺ levels， and downregulated expression of MDA， PTGS2， IL-6， and TGF-β₁. Meanwhile， GSH， GPX4， and SAT1 expression levels were significantly increased （P<0.05， P<0.01）， effectively ameliorating iron overload and oxidative stress， thereby demonstrating therapeutic efficacy in EMT， with the high-dose GFW demonstrating the most pronounced therapeutic effects. ConclusionGFW exerts therapeutic effects on endometriosis by regulating the HIF-1α/HO-1 signaling pathway to rectify iron metabolism disorders and attenuate free iron-induced oxidative damage. It upregulates the antioxidative defense system to inhibit lipid peroxidation cascades and modulates inflammatory cytokine networks. These effects collectively disrupt the pathological interaction between ferroptosis and chronic inflammation， providing a novel theoretical foundation for the clinical application of GFW in EMT treatment.

Objective:To describe and analyze suicide risk of patients with schizophrenia,major depressive disorder,and bipolar disorder.Methods:A total of 2 016 patients with schizophrenia,903 patients with major de-pressive disorder,and 381 patients with bipolar disorder from inpatients,clinics,or communities who met the diag-nostic criteria of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition were recruited.All patients were interviewed by psychiatrists using the Mini International Neuropsychiatric Interview to diagnose mental disor-ders and assess suicide risk,as well as Clinical-Rated Dimensions of Psychosis Symptom Severity(CRDPSS)to as-sess symptoms.Differences and risk factors of suicide risk among three types of mental disorders were explored u-sing multivariate logistic regression analysis.Results:In the past one month,37 patients with schizophrenia(1.8％),516 patients with major depressive disorder(57.1％),and 102 patients with bipolar disorder(26.8％)had suicide risk.Compared with patients with schizophrenia,suicide risk in patients with major depressive disorder(OR=36.50)and bipolar disorder(OR=20.10)increased.Female(OR=1.87),smoking(OR=1.76),family history of suicide(OR=5.09),higher score of CRDPSS hallucination(OR=1.80),and higher score of CRDPSS depression(OR=1.54)were risk factors of suicide risk of patients.Conclusions:Suicide risk of patients with ma-jor depressive disorder and bipolar disorder is higher than that of patients with schizophrenia.In clinical practice,it is important to regularly assess suicide risk of patients.Patients who experience symptoms of hallucination and de-pression should be paid more attention to.

Objective:To evaluate direct and indirect costs for schizophrenia,major depressive disorder(MDD)and bipolar disorder,and to compare their differences of cost composition,and to explore the drivers of the total costs.Methods:A total of 3 175 inpatients with schizophrenia,MDD,and bipolar disorder were recruited.In-patient's self-report total direct of medical costs outpatient and inpatient,out-of-pocket costs,and direct non-medical costs were regarded as direct costs.Productivity loss and other loss caused by damaging properties were defined as indirect costs.The perspectives of this study included individual and societal levels.Multivariate regression analysis was applied for detecting the factors influencing disease costs.Results:The total cost of schizophrenia was higher than those of MDD and bipolar disorder at individual and societal levels.The indirect costs of three mental disorders were higher than the direct costs,and the indirect cost ratio of bipolar disorder was higher than those of schizophre-nia and MDD.Age,gender,working condition and marital status(P＜0.05)were the important drivers of total costs.Conclusion:The economic burden of the three mental disorders is relatively heavy.Schizophrenia has heaviest disease burden,and the productivity loss due to mental disorders is the driving force of the soaring disease cost

Objective:To describe demographic,clinical and physiological characteristics,treatment between first-episode major depressive disorder(MDD)and relapse MDD,and to explore characteristics of relapse MDD.Methods:Totally 858 patients who met the diagnostic criteria for depression of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5),were included by using the Mini International Neuropsychiatric Interview(MINI),Clinician-Rated Dimensions of Psychosis Symptom Severity,and Hamilton Depression Scale etc.Among them,529(58.6％)were first-episode depression and 329(36.0％)were relapsed.The differences of demographic characteristics,clinical and physiological characteristics,treatment were compared byx2test and Kruskal-Wallis rank sum test.Multivariate logistic regression was used to explore the characteristics of MDD recur-rence.Results:Compared to first-episode MDD,relapse MDD had more comorbidity(OR=2.11,95％CI:1.00-4.44),more days out of role(OR=1.26,95％CI:1.01-1.56),more history of using psychiatric drug more than one month(OR=1.41,95％CI:1.02-1.97)and electroconvulsive therapy(OR=3.23,95％CI:1.42-7.36),and higher waist-hip ratio(OR=33.88,95％CI:2.88-399.32).Conclusion:Relapse MDD has positive as-sociation with comorbidity of mental disorders,out of role,and higher waist-hip ratio.

Objective:To compare demographic characteristics,clinical characteristics,therapeutic characteris-tics and physiological indicators of patients with bipolar Ⅰ disorder and bipolar Ⅱ disorder.Methods:A total of 381 patients with bipolar disorder(BD)diagnosed by the Diagnostic and Statistical Manual of Mental Disorders 5 th Edi-tion(DSM-5)were selected,including 302 patients with BD-Ⅰ(79.27％),74 patients with BD-Ⅱ(19.42％)and 5 patients with other specific and related disorders(1.31％).Demographic and clinical characteristics were collected with self-designed clinical information questionnaire.Multivariate logistic regression and multivariate linear regres-sion analysis were used for analysis.Results:Compared with patients with BD-Ⅱ,patients with BD-Ⅰ had more risk to have psychotic features(OR=5.75,95％CI:2.82-11.76),longer disease duration,and more repeated transcra-nial magnetic therapy(OR=3.09,95％CI:1.02-9.35),higher uric acid,total cholesterol and high-density lipo-protein.BD-Ⅰ in Han nationality was more common(OR=11.50,95％CI:1.76-75.30),and had lower education level(OR=10.22,95％CI:1.16-89.77),and less family history of psychosis(OR=2.34,95％CI:1.01-5.42).Conclusion:There are significant differences between BD-Ⅰ and BD-Ⅱ in demographic and clinical charac-teristics,treatment status,and physiological indicators,which could provide clues for exploring the pathogenesis of bipolar disorder.

Objective:To compare clinical characteristics,treatment patterns and physiological indicators in bipolar disorder(BD)patients with different age of onset.Methods:Totally 380 patients with DSM-5 BD were se-lected in this study.Psychiatrists diagnosed the patients using the Mini International Neuropsychiatric Interview.The clinical information questionnaire and the Global Assessment of Functioning scale were utilized to collected clinical characteristics,treatment status,and physiological indicators.The onset age of BD was divided into 21 and 35 years as cut-off points.Multivariate logistic regression and linear regression were used to analyze related factors.Results:Among the 380 patients with BD,199 cases were early-onset group(52.4％),121 cases were middle-onset group(31.8％),and 60 cases were late-onset group(15.8％).There were 26.6％of patients in the early-onset group in-itially diagnosed as depression,23.1％in the middle-onset group,and 11.7％in the late-onset group.Multivariate analysis revealed that compared to the early-onset group of BD,the middle-onset(OR=2.22)and late-onset(OR=4.99)groups had more risk to experience depressive episodes,and the late-onset group(OR=6.74)had 6.74 times of risk to suffer from bipolar Ⅱ disorder.Additionally,patients in the middle-onset(β=-1.52)and late-on-set(β=-4.29)groups had shorter durations of delayed treatment,and those in the middle-onset(β=-1.62)and late-onset(β=-3.14)groups had fewer hospitalizations.Uric acid levels were lower in both the middle-onset(β=-28.39)and late-onset(β=-31.47)groups,and total cholesterol level was lower in the middle-onset group(β=-0.23).Conclusion:Patients with BD in different age of onset show significant differences in clinical charac-teristics,treatment conditions and physiological indicators.

Objective To investigate the clinical efficacy of Chailian Lvping Granules(mainly composed of Bupleuri Radix,Coptidis Rhizoma,Paeoniae Radix Alba,Angelicae Sinensis Radix,Salviae Miltiorrhizae Radix et Rhizoma,Citri Sarcodactylis Fructus,and Ziziphi Spinosae Semen)in treating post-stroke anxiety and to observe their effect on serum neurotransmitters and oxidative stress.Methods A total of 104 patients with post-stroke anxiety of liver-qi stagnation and heart-fire exuberance type were randomly divided into an observation group and a control group,52 cases in each group.The control group was treated with conventional western medicine of Paroxetine,and the observation group was treated with Chailian Lvping Granules on the basis of treatment for the control group.The course of treatment lasted for eight weeks.The two groups were observed in the changes of Hospital Anxiety and Depression Scale(HADS)score,Hamilton Anxiety Scale(HAMA)score,serum neurotransmitter parameters of brain-derived neurotrophic factor(BDNF),dopamine(DA),5-hydroxytryptamine(5-HT)and norepinephrine(NE),and oxidative stress indicators of malondialdehyde(MDA),superoxide dismutase(SOD),and glutathione peroxidase(GSH-Px)before and after treatment.Moreover,the clinical efficacy and total incidence of adverse reactions were compared between the two groups.Results(1)After eight weeks of treatment,the total effective rate of the observation group was 94.23％(49/52),and that of the control group was 76.92％(40/52).The intergroup comparison(tested by chi-square test)showed that the curative effect of the observation group was significantly superior to that of the control group(P＜0.05).(2)After treatment,the HADS score and HAMA score for the axienty degree in the two groups were decreased compared with those before treatment(P＜0.05),and the decrease of HADS score and HAMA score in the observation group was significantly superior to that in the control group(P＜0.01).(3)After treatment,the serum level of neurotransmitter BDNF in the two groups was increased while the serum levels of DA,5-HT and NE were decreased compared with those before treatment(P＜0.05).The increase of serum BDNF level and the decrease of serum DA,5-HT and NE levels in the observation group were significantly superior to those in the control group(P＜0.01).(4)After treatment,the serum level of oxidative stress indicator MDA in the two groups was decreased while the serum levels of SOD and GSH-Px were increased compared with those before treatment(P＜0.05).The decrease of serum MDA level and the increase of serum SOD and GSH-Px levels in the observation group were significantly superior to those in the control group(P＜0.05 or P＜0.01).(5)The total incidence of adverse reactions in the observation group was 5.77％(3/52),and that in the control group was 9.62％(5/52).There was no significant difference between the two groups(P＞0.05).Conclusion On the basis of conventional western medicine treatment,Chailian Lvping Granules exert certain effect in the treatment of patients with post-stroke anxiety of liver-qi stagnation and heart-fire exuberance type.The combined therapy is effective and safe on alleviating the anxiety symptoms of patients,decreasing the degree of neurological impairment and stress response level,and has few adverse reactions.

Objective To establish a dynamic prediction model of fatal massive hemorrhage in trauma based on the vital signs time series data and machine learning algorithms.Methods Retrospectively analyze the vital signs time series data of 7522 patients with trauma in the Medical Information Mart for Intensive Care-Ⅳ(MIMIC-Ⅳ)database from 2008 to 2019.According to the occurrence of posttraumatic fatal massive hemorrhage,the patients were divided into two groups:fatal massive hemorrhage group(n=283)and non-fatal massive hemorrhage group(n=7239).Six machine learning algorithms,including logistic regression(LR),support vector machine(SVM),random forests(RF),adaptive boosting(AdaBoost),gated recurrent unit(GRU),and GRU-D were used to develop a dynamic prediction models of fatal massive hemorrhage in trauma.The probability of fatal massive hemorrhage in the following 1,2,and 3 h was dynamically predicted.The performance of the models was evaluated by accuracy,sensitivity,specificity,positive predictive value,negative predictive value,Youden index,and area under receiver operating characteristic curve(AUC).The models were externally validated based on the trauma database of the Chinese PLA General Hospital.Results In the MIMIC-Ⅳ database,the set of dynamic prediction models based on the GRU-D algorithm was the best.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.946±0.029,0.940±0.032,and 0.943±0.034,respectively,and there was no significant difference(P=0.905).In the trauma dataset,GRU-D model achieved the best external validation effect.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.779±0.013,0.780±0.008,and 0.778±0.009,respectively,and there was no significant difference(P=0.181).This set of models was deployed in a public web calculator and hospital emergency department information system,which is convenient for the public and medical staff to use and validate the model.Conclusion A set of dynamic prediction models has been successfully developed and validated,which is greatly significant for the early diagnosis and dynamic prediction of fatal massive hemorrhage in trauma.

Objective To explore the clinical application of ultrasound-guided transabdominal villus and amniocentesis in the prenatal diagnosis of thalassemia,and to find a suitable method for the prenatal diagnosis of thalassemia in Qinzhou.Methods A total of 531 high-risk pregnant women with severe or intermediate thalassemia during single pregnancy who were treated in the Department of Medical Genetics and Prenatal Diagnosis,Qinzhou Maternal and Child Health Hospital from March 2021 to April 2022 were selected for the study.According to different sampling methods,they were divided into control group(amniocentesis,n=415)and study group(transabdominal villus puncture,n=116).The success rate,complication rate of the two groups were compared.Results The success rate of puncture in the control group was 100％,2 cases were aborted within 2 weeks after surgery,17 cases were diagnosed with severe alpha-thalassemia,10 cases with severe β-thalassemia and 64 cases with intermediate thalassemia,48 cases with moderate and severe thalassemia induced labor.The success rate of puncture in the research group was 100％,10 cases were diagnosed with severe alpha-thalassemia,4 cases with severe β-thalassemia and 17 cases with intermediate thalassemia,and 26 cases with moderate severe thalassemia were induced labor.There was no significant difference in puncture success rate and abortion rate between the two methods(P>0.05).Conclusion Both methods are safe and effective.Transabdominal villus sampling can detect fetal thalassemia in early pregnancy,and it is worth promoting and applying in clinical practice.

Objective: To examine the causal relationship between endometrial cancer and breast cancer using bidirectional two-sample Mendelian randomization (MR) approach. Methods: Genetic association data of endometrial cancer were collected through a meta analysis, including 54 884 participants and 9 464 330 single nucleotide polymorphisms (SNPs), and genetic association data of breast cancer were collected through the Breast Cancer Society Consortium, with 228 951 participants and 10 680 257 SNPs. A forward MR analysis was performed using the inverse variance weighted (IVW) method with 8 endometrial cancer-associated SNPs as instrumental variables and breast cancer as the study outcome, and a reverse MR analysis was performed with 112 breast cancer-associated SNPs as instrumental variables and endometrial cancer as the study outcome. The heterogeneity was assessed using the Cochran's Q test, the horizontal pleiotropy was assessed using the MR-PRESSO test and MR-Egger regression, and the robustness of the results was verified with the leave-one-out. Results: Forward MR analysis results showed that patients with genetically predicted endometrial cancer had an increased risk of breast cancer compared to those without endometrial cancer (OR=1.083, 95%CI: 1.037-1.132). Reverse MR analysis showed that patients with genetically predicted breast cancer had an increased risk of endometrial cancer compared to those without breast cancer (OR=1.070, 95%CI: 1.010-1.134). Cochran's Q test detected no heterogeneity (P>0.05), and neither the MR-PRESSO test nor the MR-Egger regression revealed horizontal pleiotropy of instrumental variables (both P>0.05). Leave-one-out analysis showed robustness of the MR analysis results. Conclusion There are bidirectional causal relationship between endometrial cancer and breast cancer.