Objective To investigate the potential mechanism of nicotinamide combined with amphotericin B against Candida albicans based on metabolomics. Methods The intracellular metabolites of C. albicans intervened by different drugs including NAM, AmB, and their combination with a proper concentration were analyzed by gas chromatography-mass spectrometry. The differential metabolites were screened by multivariate statistical analysis and identified by searching the NIST database. Results Compared with the control group, the NAM intervention group was hardly separated from it, while the AmB group and NAM+AmB group showed a clear trend of separation. Under the intervention of AmB, 23 metabolites significantly changed compared with the control group, and 28 metabolites remarkably changed after NAM+AmB intervention, including amino acids, organic acids, sugars and other components. Conclusion NAM, as an endogenous metabolite of C. albicans, combined with AmB could enhance the effects of AmB in the original metabolic pathway and changed it to a certain extent. It was speculated that AmB combined with NAM may pose more antifungal effect on Candida albicans by regulating the tricarboxylic acid cycle，interfering with amino acid metabolism and influencing polyamine synthesis.

ObjectiveBased on the regulation of macrophage M2 polarization， this study aims to explore the molecular mechanism and action targets of the Qijia Rougan prescription and its key effector ingredients in anti-fibrosis， thereby providing a basis and reference for the development of new drugs for hepatic fibrosis. MethodsA rat model of hepatic fibrosis was established by subcutaneous injection of 40%CCl₄， followed by oral administration of Qijia Rougan granules. The volume of collagen fibers was detected using Masson staining， the fibrosis markers Collagen Ⅰ and α-SMA were detected using immunohistochemistry， the proportion of M2 macrophages was detected by flow cytometry. The expression levels of M2 macrophage phenotype markers CD163 and CD206 were detected using immunofluorescence double staining. Western blot was used to detect the levels of the transforming growth factor-β （TGF-β）， platelet derived growth factor subunit B （PDGFB）， interleukin-10 （IL-10）， phosphorylated Janus kinase 1 （p-JAK1）， and phosphorylated signal transducer and activator of transcription 6 （p-STAT6）. Real-time fluorescent quantitative PCR was used to detect the relative expression levels of JAK1， STAT6， Arginase 1（Arg1）， and Fizz1. Based on the theory of serum pharmacology， liquid chromatography-mass spectrometry and WENN analysis were used to obtain the active ingredients of Qijia Rougan prescription. Molecular docking and molecular dynamics simulation were performed to analyze the effector ingredients and their targets. The identified effector ingredients were interfered with IL-4-induced M2 polarization of RAW264.7 macrophage in vitro to validate the targets. ResultsQijia Rougan prescription significantly reduced the content of fibrosis markers α-SMA and Collagen Ⅰ， as well as collagen fiber content （P<0.05）. It decreased the proportion of M2 macrophages and the levels of related cytokines IL-10， TGF-β and PDGFB， and up-regulated the levels of p-JAK1 and p-STAT6 （P<0.05）. A total of 1 214 compounds were identified from Qijia Rougan prescription， medicated serum and blank serum， and 29 ingredients were finalized by Venn analysis， including 15 blood-entry prototypes and 14 drug metabolites. Molecular docking showed that enoxolone and berberine bound more strongly to JAK1， with binding free energies of -9.6 kcal·mol^-1（1 cal≈4.184 J） and -9.1 kcal·mol^-1， respectively. Molecular dynamics simulations showed that JAK1-enoxolone and JAK1-berberine exhibited stable simulation trajectories within 100 ns， with essentially identical conformations and high protein overlap before and after simulation. Their binding free energies were -25.18 5.0.81 kcal·mol^-1 and -27.39 7.0.85 kcal·mol^-1， respectively. The number of hydrogen bonds formed between JAK1 and enoxolone ranges from 0 to 5， and most of the time can be maintained at 2-3. In vitro intervention with enoxolone or berberine significantly reduced p-JAK1 and p-STAT6 levels （P<0.05）. ConclusionQijia Rougan prescription inhibits M2 macrophage polarization in hepatic fibrosis. Enoxolone and berberine are the key effector ingredients of Qijia Rougan prescription to inhibit macrophage M2 polarization through targeting JAK1 and modulating the JAK1/STAT6 signaling pathway， thereby ameliorating hepatic fibrosis. This study provides a basis for prescription optimization， clinical application and new drug development， as well as a reference for monolithic anti-hepatic fibrosis research.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

Objective: To explore the independent effects and gender differences of different types of adverse childhood experiences (ACEs) on the co-occurrence of non-suicidal self-injury (NSSI) and suicide attempts (SA), so as to provide a reference for the precise prevention and control of self-harm in junior high school students. Methods: From May to June 2023, a total of 7 360 junior high school students were selected from 12 schools in three districts/counties of Chongqing using a combination of stratified cluster sampling and convenience sampling methods. Information on NSSI, SA, ACEs, and depressive symptom, as well as other related data were collected through the Adolescent Non-suicidal Self-injury Assessment Questionnaire (ANSAQ), suicide related section of the Chinese Adolescent Health related Behavior Questionnaire (Junior High School Version), Childhood Trauma Questionnaire-Short Form ( CTQ- SF), and Center for Epidemiologic Studies-Depression Scale (CES-D). Statistical analyses of the data were performed using the Chi-square test and multiple Logistic regression. Results: The detection rates of NSSI, SA, NSSI+SA and ACEs in junior high school students were 19.2%, 4.6%, 3.5% and 57.9% respectively. After controlling for factors such as gender, grade, family type, self rated family economic status, self rated academic performance, self rated academic pressure, number of close friends, and depressive symptom scores, results from the multiple Logistic regression analysis showed that junior high school students with physical abuse ( OR = 1.98, 95% CI =1.23-3.18), emotional abuse ( OR =2.83, 95% CI =1.92-4.19), sexual abuse ( OR = 1.70, 95% CI =1.07- 2.69 ), physical neglect ( OR =1.67, 95% CI =1.20-2.33) and witnessing domestic violence ( OR =2.10, 95% CI =1.41-2.87) in childhood had higher risks for the occurrence of NSSI+SA (all P <0.05). After stratification by gender, boys with sexual abuse in childhood had a high risk for the occurrence of NSSI+SA ( OR =2.17, 95% CI =1.06-4.43), whereas girls with emotional abuse ( OR =3.69, 95% CI =2.29-5.94), physical neglect ( OR =1.62, 95% CI =1.07-2.45) and witnessing domestic violence ( OR =2.17, 95% CI =1.41-3.34) in childhood had hgih risks for the occurrence of NSSI+SA (all P <0.05). Conclusions Different types of ACEs have different effects on the co-occurrence of self-harm in junior high school students and there are gender differences. When family interventions are conducted for the combined model, emphasis should be placed on aspects of emotional abuse and domestic violence while optimizing the interventions based on gender differences.

Objective To analyze the correlation between lesion volume,lesion mass,and maximum lesion diameter in the assessment of advanced hepatocarcinoma with lung metastasis,and to evaluate the application value of total volume response and total mass response of lung metastatic lesions in efficacy assessment.Methods A retrospective analysis was conducted on the CT imaging data of 20 patients clinically confirmed with hepatocarcinoma and lung metastases,followed by subsequent follow-up to monitor their survival outcomes.Volume measurement software was used to measure the volume of lesions before and after treatment.We recored lesion diameter,volume measurements and CT values,calculated the mass of the lesions.The correlation between lesion volume,mass and diameter was analyzed,as well as the correlation between the change rates of volume,mass and lesion diameter.Additionally,the total volume and total mass of all lesions were calculated.The correlation between the change rates of total volume/total mass and the change rate of pulmonary lesion diameter under the RECIST 1.1 criteria,as well as the correlation with changes in patients'tumor markers,were analyzed.Furthermore,the overall volume response and overall mass response of lesions were evaluated based on changes in total volume and total mass,and their consistencies with the RECIST 1.1 criteria for efficacy evaluation were analyzed.Finally,univariate Cox regression analysis was performed to explore the association between these variables and patient survival outcomes.Results There was strong correlation between lesion volume,mass and tumor diameter(r=0.771,0.775),between the rate of change in mass and the rate of change in lesion diameter(r=0.846),and between the rates of change in total volume/total mass and the rate of change in pulmonary lesion diameter under the RECIST 1.1 criteria(r=0.800,0.896).The correlation between the rates of change in total volume/total mass and patients'tumor markers was not statistically significant.There was moderate correlation between the rate of change in volume and the rate of change in lesion diameter(r=0.692).The evaluation results of total volume response and total mass response for pulmonary lesions in advanced hepatocarcinoma with lung metastasis were generally consistent with the RECIST 1.1 criteria(Kappa=0.486,0.426).Univariate Cox regression analysis revealed that total lesion volume(P=0.047)and total lesion mass(P=0.049)were independent prognostic factors for survival outcomes.Conclusion Lesion volume,mass,and diameter,as well as their respective change rates,were found to be interrelated.Furthermore,total lesion volume and total lesion mass were identified as independent prognostic factors for survival outcomes.The total volume response and total mass response are promising evaluation methods in evaluating the efficacy of lung metastasis of hepatocarcinoma,which are different from the RECIST 1.1 evaluation criteria.

Objective To explore the evidence for Traditional Chinese Medicine(TCM)in the treatment of premature ovarian insufficiency(POI)based on evidence map and re-evaluation of systematic reviews.Methods CNKI,WanFang Data,VIP,SinoMed,PubMed,Embase,Cochrane Library and Web of Science database were electronically searched to collect systematic reviews(SR)/Meta-analysis on the treatment of POI with TCM from the inception to March 31,2025.The reporting quality,methodological quality,and evidence quality of the included studies were evaluated using the PRISMA 2020 Statement,AMSTAR 2 Checklist,and GRADE system,respectively.The interventions,number of studies,and evidence grades were comprehensively displayed using evidence map.Results A total of 15 SR/Meta-analysis were included,comprising 9 Chinese articles and 6 English articles.The PRISMA 2020 checklist evaluation revealed that 8 articles had certain deficiencies in reporting,while 7 articles demonstrated relatively complete reporting.Based on the AMSTAR 2 checklist,5 articles were rated as high-level and 10 as very low-level.A total of 10 primary outcome indicators were involved,reported 133 times.When classified using the GRADE system,there were 20 pieces of moderate-quality evidence,58 pieces of low-quality evidence,and 55 pieces of very low-quality evidence.The evidence map showed that TCM alone or in combination with hormone therapy could effectively treat POI,reduce follicle-stimulating hormone and luteinizing hormone levels,increase estradiol levels,and improve clinical manifestations and TCM syndrome manifestations.Conclusion TCM has certain advantages in the treatment of POI,enhancing the overall treatment effect,alleviating clinical symptoms of low estrogen,and regulating sex hormone levels to some extent.However,there are deficiencies in methodological quality and reporting quality,and the level of evidence is not high.Therefore,the findings should be used with caution in clinical practice.

Aim To identify the underlying target of bullatine A(BA)against rheumatoid arthritis(RA)u-sing limited proteolysis-small molecule mapping(LiP-SMap)drug target proteomics and to provide a scientif-ic basis for clinical application of Aconiti brachypodi Radix in the treatment of RA.Methods LiP-SMap drug target proteomics was employed to perform bioin-formatics analysis for comparing and validating the dif-ferential protein expression after BA intervention.A collagen-induced arthritis(CIA)model was estab-lished in DBA/1 mice using bovine type Ⅱ collagen.The mice were then divided into the CIA model group,methotrexate-positive control group(MTX group),and BA groups(10 mg·kg-1 and 20 mg·kg-1)based on their clinical scores.After drug intervention,the thera-peutic efficacy against RA was assessed by joint index scores and foot thickness measurements.Histopatholog-ical changes in the arthritic joints of CIA mice were e-valuated using hematoxylin and eosin(HE)staining.Enzyme-linked immunosorbent assay(ELISA)was employed to detect inflammatory cytokines interleukin-17(IL-17)and total IgG and IgG3 anti-collagen-spe-cific antibodies levels from the serum of CIA mice.Flow cytometry was used to detect the expression levels of intracellular Th17 cells(IL-17+CD4+T cells)and Th1 cells(IFN-γ+CD4+T cells).Fluorescent quanti-tative PCR was performed to detect the expression of genes related to differential proteins.Results The proteomic analysis identified Serpinb1a as a protein with strong binding affinity to BA,and KEGG enrich-ment analysis indicated IL-17 signaling pathway was a crucial pathway of BA in against RA.BA treatment significantly reduced clinical scores and foot thickness,improved local arthritis symptoms in CIA mice,and al-leviated inflammatory cell infiltration into arthritic joints(P＜0.05).Differential protein validation re-sults showed that BA had strong affinity with Serpinb1a(-5.92 kJ·mol-1)and downregulated the expres-sion of Serpinb1a mRNA.Furthermore,the administra-tion of BA markedly reduced serum IL-17 A levels from CIA mice,inhibited the expression of intracellular IL-17 A and IFN-γ cytokines in splenic CD4+T cells(P＜0.05),and significantly downregulated the transcrip-tional expression of IL-17F(P＜0.05).Conclusion BA exhibits therapeutic effects on collagen-induced arthritis,and its mechanism of action may involve the regulation of Serpinb1a and the IL-17 signaling path-way.

Purpose This study aims to explore the effect of peroxisomal membrane protein 4(PXMP4)on the migration and invasion of cervical cancer(CC)cells,as well as the epithelial-mesenchymal transition(EMT)process.Methods Bioinformatics and immunohistochemical analysis were employed to examine the expression of PXMP4 in CC tissues and its correlation with clinical pathological characteristics.Western blot and RT-qPCR were used to detect the expression of PXMP4 in CC cells.CCK-8 assay,scratch healing assay,and Transwell invasion assay were utilized to assess the proliferation,migration,and invasion capabilities of CC cells.Western blot was conducted to measure the expression of N-cadherin,E-cadherin,vimentin,phosphorylated ERK(p-ERK),and total ERK proteins in cervical CC.Results The TCGA database showed that the mRNA expression level of PXMP4 was significantly elevated in non-paired CC tissues(P=0.000 29),while the GEO database showed that the mRNA expression level of PXMP4 was sig-nificantly elevated in paired CC tissues(P=0.02).Immunohistochemical analysis showed that PXMP4 was primarily localized in the cytoplasm and cell membrane,with a positive rate of 70.31％(45/64)in CC tissues,significantly higher than 29.69％(19/64)in adjacent tissues.Clinical pathological analysis found that PXMP4 expression was as-sociated with maximum tumor differentiation(P=0.000 328)and lymph node metastasis(P=0.000 226),but not with age(P=0.637)or tumor diameter(P=0.304).CCK-8 assay,wound healing assay,and Transwell invasion as-say demonstrated that interference with PXMP4 inhibited the proliferation,invasion,and migration of CC cells,while overexpression of PXMP4 promoted these processes.Western blot results indicated that interference with PXMP4 signif-icantly increased E-cadherin expression and decreased N-cadherin,vimentin,and p-ERK expression(P＜0.05).Conversely,overexpression of PXMP4 led to a significant decrease in E-cadherin and an increase in N-cadherin,vim-entin,and p-ERK expression(P＜0.05).Additionally,stimulation of CC cells with different concentrations of the U0126 inhibitor significantly increased E-cadherin expression and decreased N-cadherin,vimentin,and p-ERK expres-sion(P＜0.05).Conclusion PXMP4 is highly expressed in CC tissues and is closely related to tumor differentiation and lymph node metastasis.PXMP4 promotes the EMT process of CC cells through the phosphorylated ERK1/2 signa-ling pathway.

Objective To investigate the association of spleen volume with the risk of non-alcoholic fatty liver disease(NAFLD)as well as their causal relationship.Methods We included 90 NAFLD cases and 47 healthy controls who had received contrast-enhanced computed tomography(CT)scan of the abdomen at the Second Affiliated Hospital of Xi'an Jiaotong University from November 2022 to November 2023.We conducted three-dimensional reconstruction of the spleen through a deep learning network model using a two-stage coarse-to-fine segmentation approach.We compared the two groups using the two-sample t test or Mann-Whitney U test for continuous data and using the chi-square test for categorical data;evaluated the correlation between spleen volume and liver function indicators through Pearson correlation or Spearman rank correlation analyses;determined the factors influencing the development of NAFLD through multivariable Logistic regression analysis;and further assessed the casual relationship between spleen volume and NAFLD using the inverse variance-weighted two-sample Mendelian randomization(IVW-MR)method.Results Spleen volume was significantly larger in NAFLD cases than in controls(272.93±104.16 vs 204.37±81.20 cm3,P<0.001).The Spearman rank correlation analysis showed that spleen volume was positively correlated with the hepatic steatosis index(rs=0.422,P<0.001)and gamma-glutamyl transferase levels(rs=0.211,P=0.047)in patients with NAFLD.The multivariable Logistic regression analysis indicated that spleen volume was an independent risk factor for the development of NAFLD(odds ratio[OR]=1.01,95%confidence interval[CI]:1.00-1.02,P=0.049).The IVW-MR analysis detected a causal relationship between spleen volume and NAFLD(OR=1.16,95%CI:1.05-1.28,P=0.005).Conclusion Increased spleen volume may be a risk factor for the development and progression of NAFLD.Further studies are still needed to investigate the specific mechanism.