1.Effects of MAGED4 overexpression on proliferation, migration, and adhesion of hepatocellular carcinoma
Sheng ZHANG ; Zhibi ZHANG ; Xiaoqing YU ; Xiaoqiong ZOU ; Yuhang LIU ; Hao LÜ ; Feng LI ; Yanjing WANG ; Bin LUO ; Xiaoxun XIE ; Qingmei ZHANG
Acta Universitatis Medicinalis Anhui 2026;61(9):1558-1567
ObjectiveTo investigate the impact of melanoma-associated antigen D4 (MAGED4) on the malignant biological behavior of hepatocellular carcinoma (HCC), providing experimental evidence for its evaluation as a potential therapeutic target in HCC. MethodsGenes positively correlated with MAGED4 expression in HCC were screened using the LinkedOmics database, followed by GO functional and KEGG pathway enrichment analyses. Endogenously low-expressing SMMC-7721 and Huh7 cells were selected, with normal hepatic LO2 cells serving as controls. Stable overexpression cell lines were established via lentiviral infection (MAGED4 overexpression group), with RT-PCR and Western blot validating overexpression efficiency. The effects of MAGED4 overexpression on cell proliferation, cell cycle distribution, migration, and adhesion were systematically analyzed using CCK-8 assays, flow cytometry, scratch healing assays, Transwell migration assays, and cell adhesion assays. ResultsBioinformatics analysis indicated that MAGED4 co-expressed genes were significantly enriched in biological processes closely associated with tumor proliferation and metastasis, including cell-cell adhesion, extracellular matrix organization, and the PI3K-Akt signaling pathway. A stable MAGED4 overexpression cell model was successfully established. In vitro functional assays demonstrated that MAGED4-overexpressing SMMC-7721 and Huh7 cells exhibited a mesenchymal-like morphology, whereas LO2 cells maintained an epithelial-like morphology. Compared with the empty-virus control groups, the MAGED4-overexpressing groups showed significantly increased proliferative activity (48 h: t=3.887, 22.070, 8.866, all P<0.05; 72 h: t=3.231, 23.840, 9.848, all P<0.05; 96 h: t=5.123, 49.800, 5.909, P<0.05, P<0.01, P<0.05), wound healing rates (12 h: F=40.90, 44.00, 200.50, all P<0.001; 24 h: F=112.00, 34.89, 249.20, all P<0.001), and numbers of migrated cells (F=239.20, 59.79, 132.80, all P<0.001), along with significantly decreased numbers of adherent cells (F=73.65, 85.91, 138.00, all P<0.001), while no significant differences were observed in cell cycle phase distribution in all three cell lines. ConclusionMAGED4 enhances proliferation and migration while suppressing adhesion in both HCC and normal hepatocytes, however, induces mesenchymal-like morphological changes exclusively in HCC cells, suggesting that MAGED4 is capable of driving HCC progression and may serve as a potential therapeutic target for HCC.
2.Clinical Efficacy of Modified Zhishi Daozhi Decoction on Metabolic Associated Fatty Liver Disease Due to Dampness-heat and Stasis Obstruction
Ya'nan QU ; Yijing LI ; Wenping ZHANG ; Chaoran BI ; Yanjing LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(22):189-197
ObjectiveTo evaluate the clinical efficacy of modified Zhishi Daozhi decoction in treating patients with metabolic associated fatty liver disease (MAFLD) due to dampness-heat and stasis obstruction. MethodsA randomized controlled trial design was adopted, with patients diagnosed with MAFLD due to dampness-heat and stasis obstruction treated in the Department of Endocrinology, Metabolism, and Gastroenterology at the Third Affiliated Hospital of Changchun University of Chinese Medicine between November 2023 and November 2024 as the study subjects. A total of 126 patients who met the inclusion criteria were randomized into an observation group and a control group, with 63 patients in each group. The observation group was administered the granule preparation of modified Zhishi Daozhi decoction, while the control group received Xuezhikang capsules orally. Both groups underwent a 12-week treatment course. The two groups before and after treatment were compared in terms of obesity indicators [body weight, body mass index (BMI), waist circumference (WC), weight-adjusted waist circumference index (WWI), and waist-to-hip ratio (WHR)], lipid indicators [total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C)], liver function indicators [alanine aminotransferase (ALT), aspartate aminotransferase (AST), and gamma-glutamyl transpeptidase (GGT)], liver ultrasound imaging, traditional Chinese medicine (TCM) symptom scores, and Patient-Reported Outcome (PRO) scale scores at follow-up. Results① After treatment, the body weight, BMI, and levels of TC, TG, and LDL-C declined in both groups (P<0.05, P<0.01), and the observation group demonstrated larger reductions in BMI, WC, LDL-C (P<0.05), and WHR (P<0.01). The levels of ALT, AST, and GGT declined in the observation group after treatment (P<0.05), whereas no statistically significant differences in the three indicators were observed in the control group before and after treatment. Subgroup analysis based on normal vs. abnormal liver function revealed intergroup differences only in the abnormal liver function cohort. After treatment, the observation group demonstrated greater reductions in ALT (P<0.01) and AST (P<0.05) than the control group. ② The total response rate of liver ultrasound imaging was 79.24% (42/53) in the observation group and 62% (31/50) in the control group. Post-treatment comparison showed that the observation group (χ2=21.311, P<0.01) achieved greater alleviation of fatty liver disease severity. ③ The total response rate of TCM syndrome was 94.34% (50/53) in the observation group and 66% (33/50) in the control group, with the observation group demonstrating superior efficacy (χ2=26.78, P<0.01). Compared with the control group post-treatment, the observation group showed enhanced reductions in the total TCM symptom score (P<0.01) and individual symptom scores of rib distension and pain, sticky and unsmooth stools, obesity with abdominal distension, sticky sensation in the mouth, and yellowish-red urine (P<0.01). ④ After treatment, the PRO score improved in both groups (P<0.01), and the increase was larger in the observation group (P<0.01), primarily reflected in the physiological dimension (P<0.01). ConclusionModified Zhishi Daozhi decoction shows definite efficacy in treating MAFLD patients with the syndrome of dampness-heat and stasis obstruction, with effects of alleviating abdominal obesity and regulating blood lipids. Additionally, it positively impacts patients quality of life, as evidenced by the changes in TCM symptom and PRO scores.
3.Exploring Multi-target Effect of Erzhiwan on Improving Myocardial Injury in Ovariectomized Mice Based on Non-targeted Metabolomics
Ying YANG ; Jing HU ; Pei LI ; Ruyuan ZHU ; Zhiguo ZHANG ; Haixia LIU ; Yanjing CHEN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(1):74-84
ObjectiveTo explore the target of Erzhiwan in reducing myocardial injury in ovariectomized mice through non-targeted myocardial metabolomics combined with experimental verification. MethodsOvariectomized mouse model was selected, 40 female C57BL/6 mice were randomly divided into sham operation group, model group, estrogen group(estradiol valerate, 1.3×10-4 g·kg-1), Erzhiwan low and high dose groups(3.12, 9.36 g·kg-1), with 8 mice in each group. Each administration group was given the corresponding dose of Erzhiwan by gavage, and the sham operation group and model group were given equal volume of distilled water by gavage for 12 weeks. Echocardiography was used to detect cardiac function, hematoxylin-eosin(HE) staining was used to observe myocardial morphological changes, and enzyme-linked immunosorbent assay(ELISA) was used to detect the levels of estrogen, N-terminal pro-brain natriuretic peptide(NT-proBNP), hypersensitive troponin T(hs-TnT), total cholesterol(TC), triglyceride(TG), low density lipoprotein cholesterol(LDL-C), high density lipoprotein cholesterol(HDL-C), interleukin(IL)-1β, IL-18 and tumor necrosis factor-α(TNF-α). The non-targeted metabolomics of mouse myocardium were analyzed by ultra performance liquid chromatography-quadrupole-electrostatic field orbital trap high-resolution mass spectrometry(UPLC-Q-Exactive Orbitrap MS), and the differential metabolites and corresponding metabolic pathways were obtained. The mRNA expression levels of phosphatidylinositol 3-kinase(PI3K) and protein kinase B(Akt) in mouse myocardial tissues were detected by real-time fluorescence quantitative polymerase chain reaction(Real-time PCR), and the protein expression levels of PI3K, Akt, phosphorylated(p)-Akt were detected by Western blot. ResultsCompared with the sham operation group, the model group showed abnormal cardiac function, increased myocardial fiber space, cardiomyocyte atrophy, sarcoplasmic aggregation, and occasional dissolution or rupture of muscle fiber, the level of estrogen in the serum was decreased, the levels of NT-proBNP, hs-TnT, IL-1β, IL-18, TNF-α, TG, TC and LDL-C were increased, and the level of HDL-C was decreased(P<0.01). Compared with the model group, Erzhiwan could increase the level of estrogen, improve the abnormal cardiac function, reduce the pathological injury of myocardial tissue, decrease the levels of myocardial injury markers(NT-proBNP, hs-TnT) and inflammatory factors(IL-1β, IL-18, TNF-α), decrease the levels of TG, TC, LDL-C, and increased the level of HDL-C(P<0.01). The results of non-targeted myocardial metabolomics showed that 31 of the 162 differential metabolites between the model group and sham operation group were significantly adjusted after administration of Erzhiwan, which were mainly glycerol phospholipid metabolites. Pathway enrichment results showed that Erzhiwan mainly affected glycerophospholipid metabolic pathway, PI3K-Akt pathway, cyclic guanosine monophosphate(cGMP)-protein kinase G(PKG) pathway and other metabolic pathways. Compared with the sham operation group, the levels of phosphatidylcholine(PC, 11 types) and phosphatidylethanolamine(PE, 5 types) in mouse myocardial tissue of the model group were increased(P<0.05, P<0.01), and the mRNA and protein expressions of PI3K and p-Akt were decreased(P<0.05, P<0.01). Compared with the model group, the levels of PC(11 types) and PE(5 types) were decreased(P<0.05, P<0.01) in myocardial tissue of Erzhiwan group, the mRNA and protein expressions of PI3K and p-Akt were elevated(P<0.01). ConclusionErzhiwan can alleviate the pathological injury of myocardium in ovariectomized mice, improve the abnormal cardiac function, improve lipid metabolism disorder, and reduce the levels of myocardial injury markers and inflammatory factors, which involves a number of signaling and metabolic pathways in the heart, among which glycerophospholipid metabolism pathway and PI3K/Akt pathway may have key roles.
4.Detection rate and associated factors of knee bone marrow edema-like signals in amateur marathon runners
Yong CHEN ; Jie LIU ; Li ZHANG ; Xinmiao MAO ; Wanzhen YAO ; Jing ZHOU ; Jianping DING ; Shinong PAN ; Jian ZHAO ; Yanjing ZHANG
Chinese Journal of General Practitioners 2025;24(10):1269-1275
Objective:To evaluate the detection rate, anatomical distribution, and influencing factors of bone marrow edema-like signal (BMELS) in the knees of amateur marathon runners.Methods:This was a cross-sectional study. This study publicly recruited amateur marathon runners through the Hangzhou Long-distance Running Association from January 2019 to December 2024. Based on knee magnetic resonance imaging (MRI) results, participants were divided into a BMELS-positive group (BMELS present in at least one knee) and a BMELS-negative group. General clinical information was collected from participants using a questionnaire. All participants underwent a knee MRI scan to screen for the presence of BMELS and to assess its severity. Logistic regression models were used to analyze the associated factors of BMELS in amateur marathon runners, while Spearman′s correlation analysis assessed the correlation between BMELS grade and these factors.Results:A total of 60 subjects (120 knee joints) were enrolled, including 39 males (65%), aged (40.0±8.4) years. Of these, 39 were in the BMELS-positive group, and 21 were in the BMELS-negative group. The BMELS detection rate for the 120 knee joints of these 60 subjects was 53.3% (64/120). BMELS were detected in 43.3%(52/120) of the femur, 34.2% (41/120) of tibia and 17.5% (21/120) of patella. Multivariate logistic regression analysis showed an independent positive correlation between monthly running volume and knee BMELS in amateur marathon runners ( OR=1.007, 95% CI: 1.000-1.013, P=0.035). Spearman′s correlation analysis showed a weak positive correlation between the BMELS grade of the knees and the monthly running volume of amateur marathon runners ( r s=0.360, P=0.005). Conclusions:The detection rate of knee BMELS is high in amateur marathon runners, and they are distributed in a way that is characteristic of the region, with a higher incidence in the medial femoral condyle. In this population, monthly running volume is independently associated with knee BMELS, with a higher grade associated with greater monthly running volume.
5.Scaffold and SAR studies on c-MET inhibitors using machine learning approaches
Jing ZHANG ; Mingming ZHANG ; Weiran HUANG ; Changjie LIANG ; Wei XU ; Jing ZHANGHUA ; Jun TU ; Okohi-Agida INNOCENT ; Jinke CHENG ; Dong-Qing WEI ; Buyong MA ; Yanjing WANG ; Hongsheng TAN
Journal of Pharmaceutical Analysis 2025;15(6):1321-1333
Numerous c-mesenchymal-epithelial transition(c-MET)inhibitors have been reported as potential anticancer agents.However,most fail to enter clinical trials owing to poor efficacy or drug resistance.To date,the scaffold-based chemical space of small-molecule c-MET inhibitors has not been analyzed.In this study,we constructed the largest c-MET dataset,which included 2,278 molecules with different struc-tures,by inhibiting the half maximal inhibitory concentration(IC50)of kinase activity.No significant differences in drug-like properties were observed between active molecules(1,228)and inactive mol-ecules(1,050),including chemical space coverage,physicochemical properties,and absorption,distri-bution,metabolism,excretion,and toxicity(ADMET)profiles.The higher chemical diversity of the active molecules was downscaled using t-distributed stochastic neighbor embedding(t-SNE)high-dimensional data.Further clustering and chemical space networks(CSNs)analyses revealed commonly used scaffolds for c-MET inhibitors,such as M5,M7,and M8.Activity cliffs and structural alerts were used to reveal"dead ends"and"safe bets"for c-MET,as well as dominant structural fragments consisting of pyr-idazinones,triazoles,and pyrazines.Finally,the decision tree model precisely indicated the key structural features required to constitute active c-MET inhibitor molecules,including at least three aromatic het-erocycles,five aromatic nitrogen atoms,and eight nitrogen-oxygen atoms.Overall,our analyses revealed potential structure-activity relationship(SAR)patterns for c-MET inhibitors,which can inform the screening of new compounds and guide future optimization efforts.
6.Analysis of influencing factors of suicidal ideation among children and adolescents with severe autism spectrum disorder
HU Zhiming, SUN Jingyan, ZHAO Guoyong, LIU Hong, BAN Yanjing, ZHANG Rui, TIAN Li, GAO Lei
Chinese Journal of School Health 2025;46(12):1741-1745
Objective:
To explore the influencing factors and pathways of suicidal ideation among children and adolescents with severe autism spectrum disorder (ASD), so as to provide references for clarifying the impact intensity and pathways of various factors on suicidal ideation in the population.
Methods:
A cross sectional study was conducted from June 17, 2024, to January 12, 2025, involving 96 severely affected ASD children and adolescents aged 8-18 years from Tianjin. Participants were assessed using the Puberty Development Scale (PDS), Children s Alexithymia Measure (CAM), Strengths and Difficulties Questionnaire (SDQ), and Positive and Negative Suicide Ideation (PANSI). The random forest Boruta algorithm was employed to screen core variables, and a Bayesian network model was constructed to analyze the influencing factors of suicidal ideation in children and adolescents with severe ASD.
Results:
Through the screening using the Boruta algorithm, the SDQ scale score, conduct problems, hyperactivity, peer relationship problems and prosocial behavior were identified as the key predictors of suicidal ideation. A Bayesian network model was established with hyperactivity as the central mediating node. The impact of hyperactivity on suicidal ideation exhibited a non linear relationship: compared to the normal state (31.6%, 68.4%), the borderline state of hyperactivity was associated with a higher probability of low risk suicidal ideation (47.1%) and a lower probability of high risk suicidal ideation (52.9%). Suicidal ideation among children and adolescents with severe ASD was closely related to hyperactivity. In the state of hyperactivity, the abnormal peer relationship (95.2%) and the abnormal prosocial behavior (77.0%) were aggravated.
Conclusions
Suicide ideation among children and adolescents with severe ASD is strongly associated with hyperactivity traits. It is necessary to establish a prevention and control system centered on hyperactivity intervention to reduce this risk.
7.USP51/GRP78/ABCB1 axis confers chemoresistance through decreasing doxorubicin accumulation in triple-negative breast cancer cells.
Yang OU ; Kun ZHANG ; Qiuying SHUAI ; Chenyang WANG ; Huayu HU ; Lixia CAO ; Chunchun QI ; Min GUO ; Zhaoxian LI ; Jie SHI ; Yuxin LIU ; Siyu ZUO ; Xiao CHEN ; Yanjing WANG ; Mengdan FENG ; Hang WANG ; Peiqing SUN ; Yi SHI ; Guang YANG ; Shuang YANG
Acta Pharmaceutica Sinica B 2025;15(5):2593-2611
Recent studies have indicated that the expression of ubiquitin-specific protease 51 (USP51), a novel deubiquitinating enzyme (DUB) that mediates protein degradation as part of the ubiquitin‒proteasome system (UPS), is associated with tumor progression and therapeutic resistance in multiple malignancies. However, the underlying mechanisms and signaling networks involved in USP51-mediated regulation of malignant phenotypes remain largely unknown. The present study provides evidence of USP51's functions as the prominent DUB in chemoresistant triple-negative breast cancer (TNBC) cells. At the molecular level, ectopic expression of USP51 stabilized the 78 kDa Glucose-Regulated Protein (GRP78) protein through deubiquitination, thereby increasing its expression and localization on the cell surface. Furthermore, the upregulation of cell surface GRP78 increased the activity of ATP binding cassette subfamily B member 1 (ABCB1), the main efflux pump of doxorubicin (DOX), ultimately decreasing its accumulation in TNBC cells and promoting the development of drug resistance both in vitro and in vivo. Clinically, we found significant correlations among USP51, GRP78, and ABCB1 expression in TNBC patients with chemoresistance. Elevated USP51, GRP78, and ABCB1 levels were also strongly associated with a poor patient prognosis. Importantly, we revealed an alternative intervention for specific pharmacological targeting of USP51 for TNBC cell chemosensitization. In conclusion, these findings collectively indicate that the USP51/GRP78/ABCB1 network is a key contributor to the malignant progression and chemotherapeutic resistance of TNBC cells, underscoring the pivotal role of USP51 as a novel therapeutic target for cancer management.
8.Scaffold and SAR studies on c-MET inhibitors using machine learning approaches.
Jing ZHANG ; Mingming ZHANG ; Weiran HUANG ; Changjie LIANG ; Wei XU ; Jinghua ZHANG ; Jun TU ; Innocent Okohi AGIDA ; Jinke CHENG ; Dong-Qing WEI ; Buyong MA ; Yanjing WANG ; Hongsheng TAN
Journal of Pharmaceutical Analysis 2025;15(6):101303-101303
Numerous c-mesenchymal-epithelial transition (c-MET) inhibitors have been reported as potential anticancer agents. However, most fail to enter clinical trials owing to poor efficacy or drug resistance. To date, the scaffold-based chemical space of small-molecule c-MET inhibitors has not been analyzed. In this study, we constructed the largest c-MET dataset, which included 2,278 molecules with different structures, by inhibiting the half maximal inhibitory concentration (IC50) of kinase activity. No significant differences in drug-like properties were observed between active molecules (1,228) and inactive molecules (1,050), including chemical space coverage, physicochemical properties, and absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiles. The higher chemical diversity of the active molecules was downscaled using t-distributed stochastic neighbor embedding (t-SNE) high-dimensional data. Further clustering and chemical space networks (CSNs) analyses revealed commonly used scaffolds for c-MET inhibitors, such as M5, M7, and M8. Activity cliffs and structural alerts were used to reveal "dead ends" and "safe bets" for c-MET, as well as dominant structural fragments consisting of pyridazinones, triazoles, and pyrazines. Finally, the decision tree model precisely indicated the key structural features required to constitute active c-MET inhibitor molecules, including at least three aromatic heterocycles, five aromatic nitrogen atoms, and eight nitrogen-oxygen atoms. Overall, our analyses revealed potential structure-activity relationship (SAR) patterns for c-MET inhibitors, which can inform the screening of new compounds and guide future optimization efforts.
9.Screening of initial processing methods for Ligusticum sinense slice based on differential metabolites
Yu HE ; Yanjing DONG ; Qian QIN ; Danyang WU ; Conglong XU ; Shouwen ZHANG
China Pharmacy 2025;36(11):1317-1322
OBJECTIVE To screen the primary processing methods of Ligusticum sinense slice based on differential metabolites, and provide theoretical basis for the scientific processing of L. sinense. METHODS Using 13 groups of L. sinense slice processed by fresh-cutting or traditional methods as samples, UHPLC-QE-MS was employed for metabolite identification. Multivariate statistical analysis was applied to screen differential metabolites among the 13 sample groups, analyzing the effects of washing, soaking, drying methods, and drying cycles on both the relative expressions of differential metabolites and the contents of carboxylic acids and their derivatives in the samples (to reflect the total amino acid content). RESULTS Principal component analysis and partial least squares-discriminant analysis both showed significant intergroup differences among the 13 sample groups. A total of 688 differential metabolites were screened from the 13 sample groups, with carboxylic acids and their derivatives showing the highest proportion. The relative expression levels of phosphatidylcholine significantly increased after washing treatment, while tryptophan expression significantly decreased after soaking treatment. Samples dried at 50-60 ℃ showed significantly increased expression of psoralen, whereas those dried at 40 ℃ showed significantly decreased expression of methyl -p- methoxycinnamate. Both washing and soaking treatments significantly reduced the total amino acid content in samples, while secondary drying significantly increased it. The three controlled-temperature drying methods maintained relatively stable total content of amino acids in samples. CONCLUSIONS The optimal processing protocol for L. sinense slice is as follows: fresh L. sinense slice should be freshly cut at the production site, undergo quick washing after soil removal, and be dried twice at 40 ℃ (before and after slicing).
10.The mediating role of thyroid stimulating hormone levels in osteoporosis in patients with type 2 diabetes mellitus and menopause
Yanjing LIU ; Xiaofen LIAN ; Fan ZHANG ; Yuan LIN
Chinese Journal of Diabetes 2025;33(4):273-279
Objective To explore the mediating effect of thyroid stimulating hormone(TSH)levels on the risk of osteoporosis(OP)in patients with T2DM and menopause.Methods A total of 179 menopausal T2DM patients who were admitted to our hospital from January 2020 to January 2023 were enrolled in this study.All the participants were divided into diabetes without complication group(T2DM group,n=95)and diabetes with complication group(Com group,n=84)according to the co-existence of complications.Logistic regression analysis was used to analyze the influencing factors for T2DM complications.According to the co-existence of OP,all the patients were divided into OP group(n=86)and Non-OP group(n=93).And the influencing factors for OP occurrence are analyzed using random forest algorithm.Logistic regression analysis was used to investigate the relationship between TSH and T2DM complications and OP.The Bootstrap method was used to analyze the mediating effect of TSH between T2DM complications and OP.Results DM duration,HbA1c,free triiodothyronine,free thyroxine,and TSH were independent influencing factors for T2DM complications(P<0.05),while P1NP,TSH,vitamin D,and DM duration were influencing factors for the occurrence of OP.After adjusting for confounding factors,there was a negative correlation between TSH and the risk of T2DM complications(P<0.05),and a negative correlation between TSH and OP(P<0.05).Mediation effect analysis showed that TSH played a mediating role between T2DM complications and OP.Conclusions TSH is negatively correlated with the risk of T2DM complications and OP,and plays a mediating role between T2DM complications and OP,partially mediating the impact of T2DM complications on OP.


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