Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective To analyze the association between lifestyle and the risk of type 2 diabetes(T2D)among adult residents.Methods The data was sourced from the Shanghai Suburban Adult Cohort and Biobank.A total of 42 096 adult residents who had not developed T2D were recruited from four districts of Shanghai(Songjiang,Jiading,Minhang,and Xuhui)between 2016 and 2019.The follow-up ended on Feb 28,2023.A structured questionnaire was used to collect information on six lifestyle-related items,including smoking,alcohol consumption,BMI,waist circumference(WC),physical activity,and diet.The unhealthy lifestyle scores(UHLS)were calculated by counting the number of all the unhealthy lifestyle items,with a range of 0-6.New-onset T2D events diagnosed by physicians were obtained through the medical information system.Cox proportional hazards regression model and restricted cubic spline model were utilized to evaluate the association between unhealthy lifestyles and the risk of T2D incidence.Results About 28.1%of the participants led 4-6 unhealthy lifestyles.A total of 1 752 new T2D cases were identified during 218 513.4 person-years of follow-up.Analysis of single unhealthy lifestyle showed that abnormal WC(HR=1.5,95%CI:1.4-1.7)and abnormal BMI(HR=1.3,95%CI:1.2-1.5)were associated with an increased risk of T2D.Compared with individuals with a UHLS of 0-1,those with a UHLS of 3 and 4-6 had 30%(95%CI:1.1-1.6)and 50%(95%CI:1.2-1.8)higher risks of T2D,respectively.Each additional unhealthy lifestyle was associated with a 10%increase in T2D incidence risk(HR=1.1,95%CI:1.1-1.2).Conclusion The risk of T2D in adult residents increases with the cumulative number of unhealthy lifestyles.Adult residents with abnormal WC or BMI,or have three or more unhealthy lifestyles accumulated,will increase the risk of new-onset T2D.

Kv1.3,a voltage-gated potassium channel,is highly expressed in T lymphocytes,the nervous system,and vascular smooth muscle cells.It plays a critical role in membrane excitability and electrical signal transduction,serving as an important target for studying T-cell function and providing a promising direction for developing therapeutics against autoimmune and inflammatory diseases.Therefore,the de-velopment of specific inhibitors of Kv1.3 channel has emerged as a novel therapeutic strategy for these disorders.In this study,we isolated and purified a novel Kv1.3-inhibitory peptide toxin,LmKTx13,from the venom of the scorpion Lychas mucronatus using reversed-phase high-performance liquid chroma-tography(RP-HPLC).LmKTx13 consists of 38 amino acid residues,including six cysteines that form three disulfide bonds.Whole-cell patch-clamp recordings revealed that LmKTx13 potently inhibited Kv1.3 with an IC50 of 7.92±3.0 nmol/L.Selectivity analysis showed that 2 μmol/L LmKTx13 also in-hibited Kv1.2 and Kv1.7,but exhibited no significant effects on other potassium channel subtypes or voltage-gated sodium channels.Further investigation into the mechanism demonstrated that LmKTx13 acts as a pore-blocking inhibitor of Kv1.3.By analyzing the effects of LmKTx13 on Kv1.3 channel gating ki-netics and performing sequence alignment of the pore regions of Kv1.3 and Kv1.5,we constructed site-directed mutants and identified the pore region of Kv1.3 as the critical binding site for LmKTx13.Key residues involved in the interaction included T425,G427,and H451.In summary,we discovered a no-vel pore-blocking Kv1.3 inhibitor,LmKTx13,from L.mucronatus venom,which exhibits high affinity and selectivity for Kv1.3.These findings highlight its potential as a potential lead molecule for developing Kv1.3-targeted therapeutics.

Objective To study the regulatory effect of Qufeng Xiaodian Formula on serum differential metabolites of allergic purpura,and provide scientific basis for the diagnosis and treatment of allergic purpura in traditional Chinese medicine.Methods Sixty rats were randomly divided into a blank control group(referred to as the blank group),a model group,a compound glycyrrhizin group,a low-dose Qu Feng Xiao Dian Fang group,a medium dose Qu Feng Xiao Dian Fang group,and a high-dose Qu Feng Xiao Dian Fang group according to a random number table method,with 10 rats in each group.The model group was constructed by combining dried ginger,pepper,and long pepper with ovalbumin to create an allergic purpura rat model.After successful modeling,each treatment group was intervened with corresponding drugs for 4 weeks.After 4 weeks,serum was collected and non targeted metabolomics screening of serum differential metabolites was performed using ultra-high performance liquid chromatography quadrupole time-of-flight tandem mass spectrometer(UPLC-QTOF/MS).Subsequently,data extraction and multivariate statistical analysis will be conducted to identify potential metabolic pathways.Results Compared with the control group,there were 91 possible differential metabolites in the serum of the model group rats,corresponding to 20 metabolic pathways;Compared with the model group,there were a total of 43 possible differential metabolites in the serum of rats in the wind dispelling and disease eliminating group,corresponding to 15 metabolic pathways.Among them,there are a total of 12 metabolic pathways.Inflammatory metabolites such as arachidonic acid and ceramide can damage vascular endothelium.Ten biomarkers,including arachidonic acid and ceramide,were significantly abnormal in the serum of the model group rats compared to the normal group.The Qufeng Xiaodian formula can significantly reverse these metabolites and significantly enrich them in arachidonic acid metabolism and sphingolipid metabolism pathways.Conclusion Qufeng Xiaodian Formula has a certain regulatory effect on metabolites such as arachidonic acid and ceramide that affect vascular endothelial injury.

AIM To study the chemical constituents from dichloromethane fraction of Dalbergia odorifera T.Chen heartwood.METHODS Separation and purification were performed using silica gel,Sephadex LH-20,thin-layer chromatography,and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.RESULTS Twenty-four compounds were isolated and identified as 7,2′-dihydroxy-4′-methoxy-isoflavanol(1),vanillin(2),2,2′-oxybis-(1,4-di-tert-butylbenzene)(3),7-hydroxy-6-methoxyflavone(4),sativan(5),5-hydroxy-4′,7-dimethoxyisoflavone(6),2-hydroxy-4,4′-dimethoxychalcone(7),7,2′,3′,4′-tetramethoxydihydroisoflavone(8),2,4,2′-trihydroxy-4′-methoxybenzil(9),ethyl-3-hydroxy-3-phenyl-2-propenoate(10),6,7-dimethoxy-2,3-dihydr-ochromen-4-one(11),sophorophenolone(12),apocynin(13),ethyl-2,4-dihydroxybenzoate(14),ethylparaben(15),methyl-2,4-dihydroxybenzoate(16),5,7-dihydroxy-6-methoxyflavanone(17),7-hydroxyflavanone(18),mimosifoliol(19),7-hydroxy-4′-methoxyisoflavane(20),virolane(21),5-hydroxy-7-methoxychromone(22),3-hydroxyl-5-methoxy-stilbene(23),2′,4′-dihydroxydihydrochalcone(24).CONCLUSION Compound 8 is new natural product,2-6,15,17-18 are isolated from this plant for the first time,7,9-14,16,20-24 are first isolated from genus Dalbergia.

Objective To study the regulatory effect of Qufeng Xiaodian Formula on serum differential metabolites of allergic purpura,and provide scientific basis for the diagnosis and treatment of allergic purpura in traditional Chinese medicine.Methods Sixty rats were randomly divided into a blank control group(referred to as the blank group),a model group,a compound glycyrrhizin group,a low-dose Qu Feng Xiao Dian Fang group,a medium dose Qu Feng Xiao Dian Fang group,and a high-dose Qu Feng Xiao Dian Fang group according to a random number table method,with 10 rats in each group.The model group was constructed by combining dried ginger,pepper,and long pepper with ovalbumin to create an allergic purpura rat model.After successful modeling,each treatment group was intervened with corresponding drugs for 4 weeks.After 4 weeks,serum was collected and non targeted metabolomics screening of serum differential metabolites was performed using ultra-high performance liquid chromatography quadrupole time-of-flight tandem mass spectrometer(UPLC-QTOF/MS).Subsequently,data extraction and multivariate statistical analysis will be conducted to identify potential metabolic pathways.Results Compared with the control group,there were 91 possible differential metabolites in the serum of the model group rats,corresponding to 20 metabolic pathways;Compared with the model group,there were a total of 43 possible differential metabolites in the serum of rats in the wind dispelling and disease eliminating group,corresponding to 15 metabolic pathways.Among them,there are a total of 12 metabolic pathways.Inflammatory metabolites such as arachidonic acid and ceramide can damage vascular endothelium.Ten biomarkers,including arachidonic acid and ceramide,were significantly abnormal in the serum of the model group rats compared to the normal group.The Qufeng Xiaodian formula can significantly reverse these metabolites and significantly enrich them in arachidonic acid metabolism and sphingolipid metabolism pathways.Conclusion Qufeng Xiaodian Formula has a certain regulatory effect on metabolites such as arachidonic acid and ceramide that affect vascular endothelial injury.

Objective:This study aims to analyze the trends,hotspots,and interrelations in research on retroperito-neal tumors through bibliometric methods,providing the latest scientific information support for clinicians and research-ers.Methods:Data were sourced from the SCI-expanded database of the Web of Science Core Collection,covering the period from 2004 to 2023.Statistical analysis and visualization of the number of publications,total citations,average citations per article,countries,institutions,journals,and keywords were conducted using Microsoft Excel 2019,VOS-viewer,and CiteSpace.Results:A total of 6,842 relevant articles were retrieved,with a total of 113 753 citations and an average of 16.63 citations per article.The number of publications had been increasing annually,peaking in 2022.The United States,China,and Japan are the major research countries,with the United States contributing the most.Memo-rial Sloan Kettering Cancer Center and the University of Texas MD Anderson Cancer Center are the leading research in-stitutions.The journal with the most publications was the Cureus Journal of Medical Science.Gronchi Alessandro was the most prolific author.The ain keywords were"Management","Surgery",and"Tumor",and the most cited papers focus on surgery and multicenter studies.Conclusion:Research on retroperitoneal tumors is increasing annually,with hot-spots focusing on treatment methods and prognosis analysis.The United States is the main contributor to this field,with significant international collaboration.Future research should further explore the pathogenesis of retroperitoneal tumors and more effective treatment strategies.

Objective:To investigate the effects of curcumin,berberine,and puerarin combination therapy on lipid levels in hyperlipidemic mice.Methods:A total of 40 male C57BL/6J mice were randomly divided into eight groups:normal control group(A),high-fat control group(B),curcumin group(C),berberine group(D),puerarin group(E),low-dose combination group of curcumin,berberine,and puerarin(F),high-dose combination group of curcumin,berberine,and puerarin(G),and positive control group(H),with 5 mice in each group.The normal control group was fed a standard diet,while the other groups were given a high-fat diet.After establishing the hyperlipidemic model,the mice were administered with physiological saline,curcumin(200 mg/kg),berberine(200 mg/kg),puerarin(300 mg/kg),low-dose combination of curcumin(50 mg/kg),berberine(50 mg/kg),and puerarin(100 mg/kg),high-dose combination of curcumin(200 mg/kg),berberine(200 mg/kg),and puerarin(300 mg/kg),or simvastatin(6 mg/kg)via gavage for three weeks.After treatment,serum was collected from the mice for biochemical analysis of lipid levels and liver function.Liver tissues were subjected to HE staining,Western blot analysis and real-time quantitative PCR.Results:Curcumin,berberine,and puerarin,whether administered individually or in combination,can reduce the body weight of hyperlipidemic mice(P＜0.01).Treatment with curcumin,berberine,and puerarin individually significantly reduced lipid levels in hyperlipidemic mice(P＜0.05)and alleviated liver damage caused by hyperlipidemia(P＜0.05).Furthermore,the high-dose combination of curcumin,berberine,and puerarin exhibited a more pronounced effect on improving lipid levels(P＜0.01)and provided greater protective effects on the liver compared to the positive control group(P＜0.05).Additionally,curcumin,berberine,and puerarin administered individually can each promote the expression of the LDLR gene in high-fat diet mice(increased by 90％,85％,and 98％,respectively)and reduce the expression of the ACC gene(decreased by 42％,45％,and 43％,respectively).The combination of all three compounds enhances the expression of the LDLR gene in high-fat diet mice(increased by 90％with low-dose combination and 169％with high-dose combination)and reduces the expression of the ACC gene(decreased by 38％with low-dose combination and 42％with high-dose combination).Conclusion:The combination of curcumin,berberine,and puerarin significantly improves lipid levels in hyperlipidemic mice and mitigates liver damage associated with hyperlipidemia.

Aim To investigate the protective effects and potential mechanisms of Radix Angelica sinensis and Radix Hedysari ultrafiltrate(RAS-RH)on X-ray-induced cellular damage in Raw264.7 macrophages.Methods An integrated approach combining network pharmacology,molecular docking,and bioinformatics a-nalysis was employed to predict therapeutic targets and signaling pathways of RAS-RH in coronary heart dis-ease(CHD).Subsequent in vitro validation was per-formed using an X-ray(6 Gy)-induced macrophage in-jury model with four experimental groups:control,radi-ation-only model,and three RAS-RH-treated groups at varying concentrations.Cell viability was assessed by CCK-8 assay,apoptosis by flow cytometry with Annexin V-FITC/PI staining,mitochondrial membrane potential by JC-1 fluorescence,and inflammatory cytokine levels(IL-1 β,IL-6,IL-18,TNF-α)by ELISA.Molecular mechanisms were investigated through Western blot and qRT-PCR analyses of TLR4/NLRP3/Caspase-1 sig-naling pathway components and Bcl-2 family proteins.Results Network pharmacology revealed RAS-RH's multi-target action on apoptosis and inflammation-relat-ed pathways,particularly NF-κB and Bcl-2 signaling.Molecular docking identified strong binding affinities between RAS-RH components and TLR4/NLRP3 pro-teins.In vitro studies demonstrated that RAS-RH treat-ment significantly improved cell viability(P＜0.01),reduced apoptosis(P＜0.01),restored mitochondrial membrane potential(P＜0.05),and attenuated radia-tion-induced ultrastructural damage including mem-brane disruption and cytoplasmic vacuolization.ELISA showed marked suppression of pro-inflammatory cyto-kines(P＜0.01).Transmission electron microscopy(TEM)analysis revealed that RSA-RH ameliorated pyroptosis-associated ultrastructural alterations,inclu-ding plasma membrane disruption and cytoplasmic vac-uolization.Protein and gene expression analyses con-firmed downregulation of TLR4/NLRP3/Caspase-1 pathway and modulation of Bcl-2/Bax ratio.Conclu-sion RAS-RH exerts radioprotective effects through dual regulation of pyroptosis and apoptosis pathways,suggesting its potential as an adjuvant therapy for radia-tion-induced cardiovascular complications in CHD pa-tients.

Kv1.3,a voltage-gated potassium channel,is highly expressed in T lymphocytes,the nervous system,and vascular smooth muscle cells.It plays a critical role in membrane excitability and electrical signal transduction,serving as an important target for studying T-cell function and providing a promising direction for developing therapeutics against autoimmune and inflammatory diseases.Therefore,the de-velopment of specific inhibitors of Kv1.3 channel has emerged as a novel therapeutic strategy for these disorders.In this study,we isolated and purified a novel Kv1.3-inhibitory peptide toxin,LmKTx13,from the venom of the scorpion Lychas mucronatus using reversed-phase high-performance liquid chroma-tography(RP-HPLC).LmKTx13 consists of 38 amino acid residues,including six cysteines that form three disulfide bonds.Whole-cell patch-clamp recordings revealed that LmKTx13 potently inhibited Kv1.3 with an IC50 of 7.92±3.0 nmol/L.Selectivity analysis showed that 2 μmol/L LmKTx13 also in-hibited Kv1.2 and Kv1.7,but exhibited no significant effects on other potassium channel subtypes or voltage-gated sodium channels.Further investigation into the mechanism demonstrated that LmKTx13 acts as a pore-blocking inhibitor of Kv1.3.By analyzing the effects of LmKTx13 on Kv1.3 channel gating ki-netics and performing sequence alignment of the pore regions of Kv1.3 and Kv1.5,we constructed site-directed mutants and identified the pore region of Kv1.3 as the critical binding site for LmKTx13.Key residues involved in the interaction included T425,G427,and H451.In summary,we discovered a no-vel pore-blocking Kv1.3 inhibitor,LmKTx13,from L.mucronatus venom,which exhibits high affinity and selectivity for Kv1.3.These findings highlight its potential as a potential lead molecule for developing Kv1.3-targeted therapeutics.