Objective To explore CT manifestations of perivascular epithelioid cell tumor(PEComa)of liver and kidney.Methods Totally 18 hepatic PEComa and 5 renal PEComa confirmed by surgical pathology were retrospectively enrolled,and the preoperative CT manifestations were explored.Results Single lesion of liver or kidney was found in all 23 cases,and the main CT manifestations included low or slightly low density lesion(23/23,100％),with irregular morphology(16/23,69.57％),clear boundaries(17/23,73.91％),non-envelope(21/23,91.30％)and enhancement after administration of contrast agents(21/23,91.30％).Among 18 cases of liver PEComa,most lesions(13/18,72.22％)presented as uniform density,while some(5/18,27.88％)presented as non-uniform density lesions often contained with fat components(5/5,100％)and thickened blood vessels(4/5,80.00％)but rare hemorrhagic necrosis(1/5,20.00％)nor calcification(0/5,0).Fast in and fast out of contrast agents were observed in 16(16/18,88.89％)lesions.Uneven density and internal fat components were found in all 5(5/5,100％)renal PEComa,which rarely with hemorrhagic necrosis(1/5,20.00％),blood vessels orientation(1/5,20.00％)and calcification(0/5,0).After enhancement,fast in and fast out,progressive enhancement and non-enhancement was observed in 2(2/5,40.00％),1(1/5,20.00％)and 2(2/5,40.00％)cases,respectively.Conclusion CT manifestations of PEComa in liver and kidney had certain characteristics.

Objective To explore the mechanism of matrine in the treatment of uveal melanoma by network pharmacology,and the related results were verified by molecular docking and cell experiments.Methods The potential targets of matrine were obtained from Swiss Target Prediction,SuperPred and TCMSP databases.The targets related to uveal melanoma were obtained from GeneCards,OMIM,CTD and DrugBank databases.Protein-protein interaction(PPI)network was established to screen core targets.Gene ontology(GO)enrichment analysis and Kyoto encyclopedia of genes and genomes(KEGG)signal pathway analysis were carried out for potential targets.The interaction between matrine and core targets was evaluated by molecular docking technique.The effects of different concentrations of matrine(0.25 g/L,0.50 g/L,1.00 g/L,2.00 g/L)on the proliferation of uveal melanoma cells were evaluated based on CCK-8 method.Western blot was used to verify the regulatory effects of different concentrations of matrine(0.25 g/L,0.50 g/L,1.00 g/L,2.00 g/L)on PI3K-Akt signaling pathway.Results A total of 208 potential targets of matrine were identified,and 5 453 targets related to uveal melanoma were obtained.The topological analysis of PPI network revealed 8 core targets,namely interleukin-6(IL-6),tumor necrosis factor(TNF),myelocytomatosis proteins(MYC),signal transducer and activator of transcription 3(STAT3),caspase-3(CASP3),heat shock protein 90AB1(HSP90AB1),mammalian target of rapamycin(mTOR),and matrix metalloproteinase 9(MMP9).GO enrichment analysis showed that biological processes(BP)mainly included inflammatory response,protein phosphorylation and response to exogenous stimuli;cell components(CC)mainly included plasma membrane,cell surface and cytoplasm;molecular function(MF)mainly included the same protein binding,ATP binding and kinase activity.The enrichment analysis of KEGG pathway showed that the effect of matrine was mediated by viral carcinogenesis,cancer pathway,TNF signaling pathway and PI3K-Akt signaling pathway.Molecular docking showed that matrine had good binding ability with the selected core targets.The results of cell experiments showed that matrine at concentrations of 0.50 g/L,1.00 g/L and 2.00 g/L could inhibit the proliferation of MuM2B cells,and the cell survival rate gradually decreased with the increase of concentration.Matrine at concentrations of 0.50 g/L,1.00 g/L and 2.00 g/L could down-regulate the protein expression levels of p-PI3K and p-Akt,and the protein expression levels of p-PI3K and p-Akt gradually decreased with the increase of concentration.Conclusion Matrine acts on tar-gets such as IL-6,TNF,MYC,STAT3,CASP3,HSP90AB1,mTOR,MMP9,and exerts therapeutic effects on uveal melanoma by viral carcinogenesis,cancer pathway,TNF signaling pathway and PI3K-Akt signaling pathway,etc.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Objective To explore CT manifestations of perivascular epithelioid cell tumor(PEComa)of liver and kidney.Methods Totally 18 hepatic PEComa and 5 renal PEComa confirmed by surgical pathology were retrospectively enrolled,and the preoperative CT manifestations were explored.Results Single lesion of liver or kidney was found in all 23 cases,and the main CT manifestations included low or slightly low density lesion(23/23,100％),with irregular morphology(16/23,69.57％),clear boundaries(17/23,73.91％),non-envelope(21/23,91.30％)and enhancement after administration of contrast agents(21/23,91.30％).Among 18 cases of liver PEComa,most lesions(13/18,72.22％)presented as uniform density,while some(5/18,27.88％)presented as non-uniform density lesions often contained with fat components(5/5,100％)and thickened blood vessels(4/5,80.00％)but rare hemorrhagic necrosis(1/5,20.00％)nor calcification(0/5,0).Fast in and fast out of contrast agents were observed in 16(16/18,88.89％)lesions.Uneven density and internal fat components were found in all 5(5/5,100％)renal PEComa,which rarely with hemorrhagic necrosis(1/5,20.00％),blood vessels orientation(1/5,20.00％)and calcification(0/5,0).After enhancement,fast in and fast out,progressive enhancement and non-enhancement was observed in 2(2/5,40.00％),1(1/5,20.00％)and 2(2/5,40.00％)cases,respectively.Conclusion CT manifestations of PEComa in liver and kidney had certain characteristics.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Objective To explore the mechanism of matrine in the treatment of uveal melanoma by network pharmacology,and the related results were verified by molecular docking and cell experiments.Methods The potential targets of matrine were obtained from Swiss Target Prediction,SuperPred and TCMSP databases.The targets related to uveal melanoma were obtained from GeneCards,OMIM,CTD and DrugBank databases.Protein-protein interaction(PPI)network was established to screen core targets.Gene ontology(GO)enrichment analysis and Kyoto encyclopedia of genes and genomes(KEGG)signal pathway analysis were carried out for potential targets.The interaction between matrine and core targets was evaluated by molecular docking technique.The effects of different concentrations of matrine(0.25 g/L,0.50 g/L,1.00 g/L,2.00 g/L)on the proliferation of uveal melanoma cells were evaluated based on CCK-8 method.Western blot was used to verify the regulatory effects of different concentrations of matrine(0.25 g/L,0.50 g/L,1.00 g/L,2.00 g/L)on PI3K-Akt signaling pathway.Results A total of 208 potential targets of matrine were identified,and 5 453 targets related to uveal melanoma were obtained.The topological analysis of PPI network revealed 8 core targets,namely interleukin-6(IL-6),tumor necrosis factor(TNF),myelocytomatosis proteins(MYC),signal transducer and activator of transcription 3(STAT3),caspase-3(CASP3),heat shock protein 90AB1(HSP90AB1),mammalian target of rapamycin(mTOR),and matrix metalloproteinase 9(MMP9).GO enrichment analysis showed that biological processes(BP)mainly included inflammatory response,protein phosphorylation and response to exogenous stimuli;cell components(CC)mainly included plasma membrane,cell surface and cytoplasm;molecular function(MF)mainly included the same protein binding,ATP binding and kinase activity.The enrichment analysis of KEGG pathway showed that the effect of matrine was mediated by viral carcinogenesis,cancer pathway,TNF signaling pathway and PI3K-Akt signaling pathway.Molecular docking showed that matrine had good binding ability with the selected core targets.The results of cell experiments showed that matrine at concentrations of 0.50 g/L,1.00 g/L and 2.00 g/L could inhibit the proliferation of MuM2B cells,and the cell survival rate gradually decreased with the increase of concentration.Matrine at concentrations of 0.50 g/L,1.00 g/L and 2.00 g/L could down-regulate the protein expression levels of p-PI3K and p-Akt,and the protein expression levels of p-PI3K and p-Akt gradually decreased with the increase of concentration.Conclusion Matrine acts on tar-gets such as IL-6,TNF,MYC,STAT3,CASP3,HSP90AB1,mTOR,MMP9,and exerts therapeutic effects on uveal melanoma by viral carcinogenesis,cancer pathway,TNF signaling pathway and PI3K-Akt signaling pathway,etc.

ObjectiveChemotherapy is one of the important therapeutic approaches for cancer treatment. However, the emergence of multidrug resistance and side effects significantly limit its application. To address these challenges, chemotherapy is often combined with other drugs or therapies. Among the 13 human fucosyltransferases (FUTs) identified, FUT8 (alpha-(1,6)-fucosyltransferase) is the only enzyme responsible for core fucosylation. Core fucosylation plays an important role in cancer occurrence, metastasis and chemotherapy resistance, making the suppression of FUT8 a potential strategy for reversing multidrug resistance. This study aims to evaluate the feasibility of combining the small molecule FUT8 inhibitor 2FF (2-deoxy-2-fluoro-L-fucose) with the clinical chemotherapeutic drug doxorubicin (DOX) for treating malignant tumors. MethodsThe human hepatocellular carcinoma cell line HepG2 and mouse colon cancer cell line CT26 cells were treated with 2FF, DOX or their combination and core fucosylation levels were assessed using Lectin blot. HepG2 and CT26 cells were exposed to 50 μmol/L 2FF for 72 h, followed by treatment with a gradient concentration of DOX for 24 h. Cell viability and IC₅₀ values were determined via the CCK-8 assay. Transwell invasion assays were conducted to evaluate the combined effect of 2FF and DOX on the invasion ability of HepG2 cells. Flow cytometry was performed to analyze the impact of 2FF, DOX and their combination on membrane PD-L1 expression of HepG2 cells. To assess the in vivo effect, 6- to 8-week-old female BALB/c mice (20-25 g), were subcutaneously injected with 1×10⁶ CT26 cells into the right axilla (four groups, six mice in each group). After the average tumor volume reached 100 mm³, mice were treated with DOX, 2FF, their combination, or saline (mock group) every other day. DOX was administrated intraperitoneally (2 mg/kg), 2FF intravenously (5 mg/kg), and the combination group, received the both treatment. Tumor size was measured every other day using a vernier caliper. ResultsThis study demonstrated that DOX upregulates the core fucosylation levels in HepG2 and CT26 cells,while 2FF effectively inhibits this DOX-induced effect. Furthermone, 2FF enhanced the sensitivity of HepG2 and CT26 cells to DOX. The combination of 2FF and DOX synergistically inhibited the invasion ability of HepG2 cells, and enhanced the anti-tumor efficacy of CT26 subcutaneous tumor model in BALB/c mice. However the combination treatment led to weight loss in mice. In addition, DOX increased the cell surface PD-L1 expression in HepG2 cells, which was effectively suppressed by 2FF. ConclusionThe FUT8 inhibitor 2FF effectively suppresses DOX-induced upregulation of core fucosylation and PD-L1 levels in tumor cells, and 2FF synergistically enhances the anticancer efficacy of DOX.

AIM To study the chemical constituents from ethyl acetate fraction of Balanophora harlandii Hook.f.and their tyrosinase inhibitory activity.METHODS Separation and purification were performed using silica gel,MCI,ODS,Sephadex LH-20 and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The monophenolase inhibitory activity was determined by the tyrosinase-catalyzed oxidation of L-tyrosine.RESULTS Twenty-four compounds were isolated and identified as sesamin(1),methyl caffeate(2),quercetin(3),5,7-dihydroxychromanone(4),methyl 3,4-dihydroxybenzoate(5),esculetin(6),kaempferol(7),naringenin(8),pyrogallic acid(9),pinosylvin(10),methyl propionate(11),caffeic acid(12),saccharinol(13),ferulic acid(14),trans-p-hydroxycinnamic acid(15),cinnamic acid(16),vanillic acid(17),vanillin(18),4-hydroxyacetophenone(19),4-hydroxybenzaldehyde(20),apigenin(21),(-)-isolariciresinol(22),(-)-secoisolariciresinol(23)and meso-2,3-di(3′,4′-methylenedioxybenzyl)butane-1,4-diol(24).The IC50 values of compounds 3,5,7,8,19,and 20 ranged from(0.246 5±0.028 3)to(1.278 2±0.021 3)mmol/L.CONCLUSION Compounds 1-9、11、15、17-21、24 are isolated from this plant for the first time,and 1,6,9,17-19,24 are first isolated from genus Balanophora.Compounds 3、5、7、8、19 and 20 have tyrosinase inhibitory activity.

Objective:To investigate the nutritional risk status of children in PICU and analyze its influencing factors.Methods:From July 2021 to February 2023,all children aged 1 to 18 years admitted to PICU of Beijing Children's Hospital were investigated by using the pediatric Yorkhill Malnutrition Scoring tool(PYMS)and the clinical data questionnaire.Results:A total of 492 children in PICU were enrolled.The first nutritional risk screening results showed that there were 32 cases of no/low nutritional risk(6.5%),76 cases of medium risk(15.4%),and 384 cases of high risk(78.1%).The incidence of medium/high nutritional risk was as high as 93.5%.The PYMS score of nutritional risk in PICU was(2.61±1.42).The results of multiple linear regression analysis showed that weight,fever time before admission,white blood cells,body mass index,primary diagnosis,father's education,and diet before illness were the main influencing factors of nutritional risk of children in PICU(P<0.05).Conclusion:Children in PICU are in a state of high nutritional risk.It is suggested that children in PICU should carry out nutritional screening in a standardized manner,identify children with high nutritional risk and its influencing factors early.To actively conduct nutritional assessment and nutritional intervention could improve the clinical outcome of children in PICU.

Objective To investigate the expression levels of class Ⅰ histone deacetylases(HDAC)in the serum of patients with newly diagnosed psoriatic arthritis(PsA)and screen out serological indicators that are of significance for early diagnosis and assessment of disease activity.Methods A total of 49 PsA patients newly diagnosed in Shanxi Provincial People's Hospital from August 2022 to February 2024 and 30 healthy individuals(control group)were enrolled in this study.Demographic data were collected,and disease severity was assessed.Serum samples were collected,and the expression levels of class Ⅰ HDAC(HDAC1,HDAC2,HDAC3,and HDAC8)in the serum of each group were determined by ELISA.The correlations between the expression levels of class Ⅰ HDAC and clinical assessment indicators in each group were evaluated.Multivariate Logistic regression was adopted to analyze the risk factors affecting the disease activity of PsA patients.The receiver operating characteristic curve was used to evaluate the diagnostic efficacy of the risk factors affecting the disease activity of PsA patients.Results Compared with the control group,PsA patients showed up-regulated expression levels of HDAC1(P=0.003),HDAC2(P=0.010),HDAC3(P=0.003),and HDAC8(P=0.018)in the serum.The serum HDAC1 level of PsA patients was positively correlated with erythrocyte sedimentation rate(r=0.344,P=0.028).The serum HDAC2 level was positively correlated with the overall assessment of disease activity(r=0.468,P=0.001),the disease activity index of arthritis(r=0.401,P=0.007),the number of swollen joints(r=0.308,P=0.042),hospital anxiety and depression scale(HADS)score of anxiety(r=0.360,P=0.018),and HADS score of depression(r=0.302,P=0.047).The serum HDAC3 level was correlated with erythrocyte sedimentation rate(r=0.542,P<0.001),C-reactive protein(CRP)level(r=0.440,P<0.001),HADS score of anxiety(r=0.420,P=0.005),interleukin-6 level(r=0.397,P=0.004),the overall assessment of disease activity(r=0.318,P=0.036),and the course of psoriatic arthritis(r=0.330,P=0.028).The serum HDAC8 level was positively correlated with HADS score of anxiety(r=0.477,P=0.008)and erythrocyte sedimentation rate(r=0.385,P=0.039).Compared with the patients with low disease activity,those with moderate to high disease activity presented up-regulated expression of HDAC3(P=0.041).HDAC2(P=0.028)and CRP(P=0.034)were risk factors for moderate to high disease activity in PsA patients.HDAC2(area under the curve=0.802,P=0.003)and CRP(area under the curve=0.718,P=0.033)had diagnostic value for the progression of PsA.Conclusions The expression levels of class Ⅰ HDAC in the serum of patients with newly diagnosed PsA were significantly different.The serum levels of HDAC2 and CRP are expected to become serological indicators for the early diagnosis and disease activity assessment of PsA.
Humans ; Histone Deacetylases/blood* ; Arthritis, Psoriatic/diagnosis* ; Male ; Female ; Histone Deacetylase 1/blood* ; Histone Deacetylase 2/blood* ; Adult ; Middle Aged ; Clinical Relevance ; Repressor Proteins