ObjectiveTo investigate the clinical characteristics and risk factors of Mycoplasma pneumoniae pneumonia （MPP） in children based on a dual classification integrating imaging features and clinical severity. MethodsMedical records of 2 054 pediatric patients with MPP were retrospectively analyzed. The cohort was stratified into severe consolidation （n=253）， severe non-consolidation （n=118）， non-severe consolidation （n=393）， and non-severe non-consolidation groups （n=1 290） based on clinical and radiological findings. Inter group data and characteristics were compared and multiple regression analysis was conducted to construct a prediction model for severe consolidation group. ResultsSignificant differences were observed among the groups in terms of age， duration of fever， length of hospital stay， presence of pulmonary rales， inflammatory markers ［C-reactive protein （CRP） and lactate dehydrogenase （LDH）］， the use of hormones， and bronchoscopic treatment （all P < 0.05）. Compared with the severe non-consolidation group， non-severe consolidation group， and non-severe non-consolidation group， children in severe consolidation group exhibited the longest duration of fever ［8 （6， 11） days vs 6 （2， 9）， 7 （6， 9） and 6 （3， 8） days， respectively］ and the longest length of hospital stay ［7 （5， 8） days vs 6 （5， 8）， 6 （5， 8） and 6 （4， 7） days， respectively］. They also had the highest incidence of reduced breath sounds ［34 cases （13.4%） vs 2 cases （1.7%）， 29 cases （7.4%） and 13 cases （1.0%）， respectively］ and a substantially higher rate of coinfections， particularly viral infections ［63 cases （24.9%） vs 23 cases （19.5%）， 60 cases （15.3%） and 190 cases （14.7%）， respectively］. Multivariate analysis indicated that the independent risk factors for severe MPP （SMPP） were age > 4.5 years， length of hospital stay > 6.5 days， reduced breath sounds， neutrophil-to-lymphocyte ratio （NLR） > 1.66， LDH > 370.5 U/L， CRP > 9.5 mg/L， and coinfection with viruses. Reduced breath sounds （OR = 5.58， 95% CI： 2.45 - 12.69） and coinfection with bacteria （OR = 3.11， 95% CI： 1.43 - 6.75） were identified as the most significant risk factors for pulmonary consolidation in non-severe MPP children. Additionally， reduced breath sounds， coinfection with viruses， LDH > 365.5 U/L， and CRP > 32.1 mg/L were risk factors for severe pneumonia in children with pulmonary consolidation. For non-consolidation MPP children， the presence of pulmonary dry rales （OR = 2.28， 95% CI： 1.46 - 3.56） was the primary independent risk factor for the development of severe pneumonia. ConclusionThe chest imaging findings of MPP are associated with clinical severity， and the risk factor model constructed based on this imaging-clinical classification can assist in achieving precise hierarchical diagnosis and treatment in clinical practice.

ObjectiveTo investigate the effects of Astragali Radix polysaccharides （APS） on the polarization of BV2 microglial cells in an oxygen-glucose deprivation/reoxygenation （OGD/R） model through regulation of the Toll-like receptor 4 （TLR4）/nuclear factor-κB （NF-κB） signaling pathway. MethodsThe OGD/R injury model of BV2 microglia was established and divided into blank group， OGD/R group and APS group （0.4 g·L^-1 APS）. Neuroinflammatory injury was induced by lipopolysaccharide （LPS） and treated with APS. The cells were divided into blank group， LPS group （1 mg·L^-1 LPS） and APS group （0.4 g·L^-1 APS+1 mg·L^-1 LPS）. Cell viability was detected using the cell counting kit-8 （CCK-8） assay. Cell morphology was observed under an inverted microscope. Nitric oxide （NO） content in the cell supernatant was determined by the Griess assay. The secretion levels of tumor necrosis factor-α （TNF-α）， interleukin （IL）-6， IL-10， and IL-4 were measured by enzyme-linked immunosorbent assay （ELISA）. Immunofluorescence （IF） was used to detect the double-positive rates of ionized calcium-binding adapter molecule-1/inducible nitric oxide synthase （Iba-1⁺/iNOS⁺） and ionized calcium-binding adapter molecule-1/arginase 1 （Iba-1⁺/Arg1⁺）， as well as the nuclear translocation rate of nuclear factor-κB p65 （NF-κB p65）. Protein expression levels of Iba-1， iNOS， Arg1， TLR4， and NF-κB p65 were detected by Western blot. ResultsIn the OGD/R injury model， compared with the blank control group， BV2 microglial cells in the OGD/R group were activated and exhibited amoeboid morphological changes. The secretion levels of NO， TNF-α， and IL-6 were significantly increased （P<0.01）. The double-positive expression rate of Iba-1⁺/iNOS⁺ and the protein expression of Iba-1 and iNOS were significantly increased （P<0.01）. The nuclear translocation rate of NF-κB p65 and the protein expression levels of TLR4 and NF-κB p65 were significantly increased （P<0.01）. The levels of IL-10 and IL-4 were significantly decreased （P<0.01）， and the double-positive expression rate of Iba-1⁺/Arg1⁺ and Arg1 protein expression were significantly decreased （P<0.01）. Compared with the OGD/R group， the APS group （0.4 g·L^-1） showed reduced cell activation， significantly decreased secretion levels of NO， TNF-α， and IL-6 （P<0.01）， significantly decreased double-positive expression rate of Iba-1⁺/iNOS⁺ and relative protein expression of Iba-1 and iNOS （P<0.01）， significantly decreased nuclear translocation rate of NF-κB p65 and protein expression levels of TLR4 and NF-κB p65 （P<0.01）， significantly increased levels of IL-10 and IL-4 （P<0.01）， and significantly increased double-positive expression rate of Iba-1⁺/Arg1⁺ and Arg1 protein expression （P<0.01）. In the LPS-induced neuroinflammation model， compared with the blank control group， the LPS group showed increased cell activation， significantly increased levels of NO， TNF-α， and IL-6， significantly increased Iba-1⁺/iNOS⁺ double-positive expression rate， NF-κB p65 nuclear translocation rate， and protein expression levels of Iba-1， iNOS， TLR4， and NF-κB p65 （P<0.01）， while IL-10 and IL-4 levels， Iba-1⁺/Arg1⁺ double-positive expression rate， and Arg1 protein expression were significantly decreased （P<0.01）. Compared with the LPS group， the APS group showed reduced cell activation， significantly decreased levels of NO， TNF-α， and IL-6， Iba-1⁺/iNOS⁺ double-positive expression rate， NF-κB p65 nuclear translocation rate， and protein expression levels of Iba-1， iNOS， TLR4， and NF-κB p65 （P<0.01）， while IL-10 and IL-4 levels， Iba-1⁺/Arg1⁺ double-positive expression rate， and Arg1 protein expression were significantly increased （P<0.01）. ConclusionAPS may reduce microglial activation and promote their polarization toward the M2 phenotype by inhibiting activation of the TLR4/NF-κB signaling pathway， thereby alleviating the neuroinflammatory response induced by OGD/R.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

This case report describes a 68-year-old male patient diagnosed with primary hepatocellular carcinoma (HCC). After receiving Yttrium-90 microsphere selective internal radiation therapy (⁹⁰Y-SIRT), the tumor significantly reduced in size, and tumor markers alpha fetoprotein (AFP) and abnormal prothrombin (PIVKA-Ⅱ) decreased. Postoperative pathological results showed minimal residual tumor cells, indicating that ⁹⁰Y-SIRT has good efficacy and safety in downstaging and conversion of HCC, thereby facilitating subsequent surgical resection.

ObjectiveTo study the pharmacological substances and mechanisms through which sesquiterpene ZH-13 from Aquilariae Lignum Resinatum improves neuroinflammation. MethodsBV-2 microglial cells were stimulated with lipopolysaccharide （LPS） to induce neuroinflammation. The cells were divided into the normal group， the model group， and the ZH-13 low- and high-dose treatment groups （10， 20 μmol·L^-1）. The model group was treated with 1 μmol·L^-1 LPS. Cell viability was assessed using the cell proliferation and activity assay （CCK-8 kit）. Nitric oxide （NO） release in the cell supernatant was measured using a nitric oxide kit （Griess method）. The mRNA expression levels of interleukin-1β （IL-1β）， tumor necrosis factor-α （TNF-α）， inducible nitric oxide synthase （iNOS）， and interleukin-6 （IL-6） were detected by real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The phosphorylation of mitogen-activated protein kinase （MAPK） pathway proteins was assessed by Western blot. ResultsCompared with the model group， ZH-13 dose-dependently reduced NO release from BV-2 cells under LPS stimulation （P<0.05， P<0.01）. In the 20 μmol·L^-1 ZH-13 treatment group， the mRNA expression levels of IL-1β， TNF-α， iNOS， and IL-6 were significantly reduced compared to the model group （P<0.05， P<0.01）. In both the low- and high-dose ZH-13 groups， the expression of the inflammatory factor TNF-α and the phosphorylation of c-Jun N-terminal kinase （JNK） in the upstream MAPK pathway were significantly reduced （P<0.05）. After stimulation with the JNK agonist anisomycin （Ani）， both low- and high-dose ZH-13 treatment groups showed reduced phosphorylation of JNK proteins compared to the Ani-treated group （P<0.01）. ConclusionThe sesquiterpene compound ZH-13 from Aquilariae Lignum Resinatum significantly ameliorates LPS-induced neuroinflammatory responses in BV-2 cells by inhibiting excessive JNK phosphorylation and reducing TNF-α expression. These findings elucidate the pharmacological substances and mechanisms underlying the sedative and calming effects of Aquilariae Lignum Resinatum.

ObjectiveThis study aims to develop a prediction model for the compatibility of Chinese medicinal pairs based on Graph Convolutional Networks （GCN）， named HC-GCN. The model integrates the properties of herbs with modern pharmacological mechanisms to predict pairs with specific therapeutic effects. It serves as a demonstration by applying the model to predict and validate the efficacy of blood-activating herb pairs. MethodsThe training dataset for herb pair prediction was constructed by systematically collecting commonly used herb pairs along with their characteristic data， including Qi， flavor， meridian tropism， and target genes. Integrating traditional characteristics of herb with modern bioinformatics， we developed an efficacy-oriented herb pair compatibility prediction model （HC-GCN） using graph convolutional networks （GCN）. This model leverages machine learning to capture the complex relationships in herb pair compatibility， weighted by efficacy features. The performance of the HC-GCN model was evaluated using accuracy （ACC）， recall， precision， F1 score （F1）， and area under the ROC curve （AUC）. Its predictive effectiveness was then compared to five other machine learning models： eXtreme Gradient Boosting （XGBoost）， logistic regression （LR）， Naive Bayes， K-nearest neighbor （KNN）， and support vector machine （SVM）. ResultsUsing herb pairs with blood-activating effects as a demonstration， a prediction model was constructed based on a foundational dataset of 46 blood-activating herb pairs， incorporating their Qi， flavor， meridian tropism， and target gene characteristics. The HC-GCN model outperforms other commonly used machine learning models in key performance metrics， including ACC， recall， precision， F1 score， and AUC. Through the predictive analysis of the HC-GCN model， 60 herb pairs with blood-activating effects were successfully identified. Among of these potential herb pairs， 44 include at least one herb with blood-activating effects. ConclusionIn this study， we established an efficacy-oriented compatibility prediction model for herb pairs based on GCN by integrating the unique characteristics of traditional herbs with modern pharmacological mechanisms. This model demonstrated high predictive performance， offering a novel approach for the intelligent screening and optimization of traditional Chinese medicine prescriptions， as well as their clinical applications.

ObjectiveTo investigate the role and mechanism of Go-Ichi-Ni-San complex subunit 1 （GINS1） in the progression of hepatocellular carcinoma （HCC） and the development of chemotherapy resistance. MethodsThe tumor database GEPIA2 was used to analyze the differential expression of GINS1 between HCC patients and healthy individuals， and pathological tissue samples were collected from 40 HCC patients who were admitted to The Affiliated Tumor Hospital of Xinjiang Medical University and the First Affiliated Hospital of Xinjiang Medical University from May 2017 to January 2021. Immunohistochemical staining was used to measure the difference in the expression of GINS1 between HCC tissue and corresponding adjacent tissue， and the correlation between the expression level of GINS1 and the clinical TNM stage of HCC was analyzed. Western blot was also used to measure the difference in the expression of GINS1 between HCC Huh7/Hep3B/Li-7/MHCC97H cell lines and normal human QSG7701 hepatocytes. The method of lentivirus transfection was used to establish the MHCC97H cell line with stable GINS1 knockdown and its negative control cell line. CCK-8 assay and colony formation assay were used to measure cell proliferative capacity； scratch assay was used to measure cell migration ability； Transwell assay was used to measure cell invasion ability； cells were treated with oxaliplatin to measure their sensitivity to chemotherapy drugs. Nude mice were used to establish a tumor-bearing model and observe the effect of GINS1 knockdown on the growth of HCC in vivo. Western Blot was used to measure the expression levels of the proteins associated with the Notch pathway and the JAK/STAT pathway. The cells were treated with the Notch receptor agonist Jagged-1 to analyze the association between GINS1 and the Notch/JAK/STAT pathway. The independent-samples t test was used for comparison of continuous data between two groups； a one-way analysis of variance was used for comparison between multiple groups， and the least significant difference t-test was used for further comparison between two groups. ResultsThe expression of GINS1 was upregulated in HCC patients， HCC tissue， and HCC cell lines （all P<0.05）， and the expression level of GINS1 was positively correlated with the clinical TNM stage of HCC （r=0.822， P=0.011）. Compared with the negative control cells， the GINS1-knockdown MHCC97H cells showed significant reductions in proliferation， migration， and invasion activities （all P<0.01） and a significantly enhanced sensitivity to oxaliplatin （P<0.01）. Compared with the nude mice in the control group， GINS1 knockdown caused significant inhibition of tumor weight and volume in vivo in nude mice （all P<0.001）. Compared with the negative control cells， the GINS1-knockdown MHCC97H cells showed significant reductions in the expression levels of Notch1， Notch3， p-JAK2， and p-STAT3 （all P<0.05）， while there were no significant differences in the overall expression levels of JAK2 and STAT3 （P>0.05）. After Jagged-1 treatment， the GINS1-knockdown MHCC97H cells showed significant increases in proliferation， migration， and invasion activities and a significant reduction in sensitivity to oxaliplatin， as well as significant increases in the levels of p-JAK2 and p-STAT3 （all P<0.05）. ConclusionGINS1 is upregulated in HCC and can promote HCC progression and chemotherapy resistance through the Notch/JAK2/STAT3 pathway.

Liver cancer is one of the most common malignant tumors worldwide. Currently, the available treatment methods cannot fully control its recurrence and mortality rate. Establishing appropriate animal models for liver cancer is crucial for developing new treatment technologies and strategies. The patient-derived xenograft (PDX) model preserves the tumor's microenvironment and heterogeneity, which makes it advantageous for biological research, drug evaluation, personalized medicine, and other purposes. This article reviews the development, preparation techniques, application fields, and challenges of PDX models in liver cancer, providing insights for the research and exploration of PDX models in diagnostic and therapeutic strategies of liver cancer.
Liver Neoplasms/drug therapy* ; Animals ; Humans ; Xenograft Model Antitumor Assays/methods* ; Mice ; Disease Models, Animal

BACKGROUND: Changes in N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels may not fully translate into patient-reported health status in patients with heart failure (HF). We aimed to evaluate the correlation between NT-proBNP levels and patient-reported health status changes at one month after discharge of patients, and their associations with risk of death and rehospitalization in patients with acute HF. METHODS: We used data from the China Patient-centered Evaluative Assessment of Cardiac Events Prospective Heart Failure Study (PEACE 5p-HF Study). Patient-reported health status was measured by the 12-item Kansas City Cardiomyopathy Questionnaire (KCCQ-12). Patients who were hospitalized for HF and completed the KCCQ-12 and NT-proBNP tests before and one month after discharge were eligible in our study. We stratified patients into different groups based on NT-proBNP levels (i.e., improved, stable, and deteriorated) and KCCQ-12 scores (i.e., not deteriorated and deteriorated). We also examined the associations of the joint NT-proBNP and KCCQ-12 change with the risk of one-year and four-year clinical outcomes. RESULTS: A total of 2461 patients were included in the analysis. The mean age was 64.06 ± 13.51 years, and 36.37% (895/2461) of the study population were female. Among patients with improved NT-proBNP levels, 115 (10.95%) patients had deteriorated KCCQ-12 scores. The correlation between the change in the KCCQ-12 score and NT-proBNP level was weak ( r2 = 0.002, P = 0.013). Stratification by changes in the KCCQ-12 score revealed subgroups with distinctive risks, such that patients with deteriorated KCCQ-12 scores in any of the NT-proBNP change groups exhibited an increased risk of one-year all-cause death than participants with not deteriorated KCCQ-12 scores in any of the NT-proBNP change groups. Patients with improved NT-proBNP levels and deteriorated KCCQ-12 scores presented greater risks of one-year all-cause death (hazard ratio [HR]: 2.45, 95% confidence interval [CI]: 1.34-4.48) than patients with stable NT-proBNP levels and not deteriorated KCCQ-12 scores (HR [95% CI], 1.77 [1.25-2.53]). CONCLUSIONS: A discrepancy between changes in NT-proBNP levels and KCCQ-12 scores was common. The change in NT-proBNP levels was not sufficient to characterize critical aspects related to HF during one month after discharge of patients. Changes in the KCCQ-12 score exhibit complementary information to NT-proBNP levels for the prediction of clinical outcomes in patients with acute HF. REGISTRATION www.clinicaltrials.gov (No. NCT02878811).
Aged ; Female ; Humans ; Male ; Middle Aged ; Health Status ; Heart Failure/metabolism* ; Natriuretic Peptide, Brain/metabolism* ; Peptide Fragments/metabolism* ; Prospective Studies