Objective To construct a risk prediction model for liver cancer in patients with chronic hepatitis C based on seven different machine learning algorithms and select the optimal model. Methods A total of 236 patients with chronic hepatitis C were selected as the research subjects. Patients were divided into a case group and a control group according to whether liver cancer occurs. Prediction models were constructed based on seven machine learning algorithms including classification and regression tree, random forest, gradient boosting decision tree, extreme gradient boosting (XGBoost), logistic regression, K-near neighbor, and support vector machine. The Shapley additive explanations (SHAP) algorithm was used to interpret the best prediction model. Results Among the seven models, the XGBoost model had the best comprehensive prediction performance (accuracy of 0.933, sensitivity of 0.775, specificity of 0.960, area under the ROC curve of 0.956, F1 score of 0.764). The SHAP algorithm suggested that AFP, age, AST, diabetes, BMI, PLT, ALT, liver cysts, FIB-4, and gender contributed to the model decision and are the risk factors for liver cancer in patients with chronic hepatitis C. Conclusion This study develops an interpretable machine learning model based on the XGBoost algorithm, which has a good reference value for individualized monitoring of liver cancer in patients with chronic hepatitis C.

ObjectiveTo establish an analytical method for the determination of resorcinol, ferulic acid, phenethylresorcinol and benzoyl peroxide in freckle whitening cosmetics by high performance liquid chromatography (HPLC), to provide data support for the establishment of cosmetics inspection methods and technical support for the supervision of the cosmetics industry. MethodsThe analytes in samples were extracted by ultrasonic acetonitrile after methanol vortex, and then filtered by centrifugation and microporous filter membrane. Finally, the analytes were separated with a SVEA C4 column (250 mm×4.6 mm, 5 μm). The mobile phase was composed of 0.1% phosphoric acid solution -acetonitrile, and the gradient elution was applied, with a flow rate of 1.0 mL·min^-1. The samples were detected by an ultra-violet detector and quantified by external standard method. ResultsResorcinol, ferulic acid, phenylethylresorcinol and benzoyl peroxide showed good linearity in the experimental range with r>0.999. HPLC was used to investigate the positive spiked recoveries of ferulic acid or phenylethylresorcinol with different matrices. The results showed that the recoveries were all in the range of 87.48% to 101.00%, and the relative standard deviations were all in the range of 3.4% to 4.1%. Furthermore, HPLC also examined the blank matrix spiked with the recoveries ranged from 93.26% to 107.66%, with the relative standard deviation of 0.90% to 2.90%. The limits of detection ranged from 0.000 8% to 0.002%. Among the30 batches of standard freckle whitening cosmetics determined, 6 batches of which were detected with phenethylresorcinol and 1 batch with ferulic acid. ConclusionHPLC is a method with rapidity, simplicity, and high sensitivity, which is suitable for the simultaneous determination of resorcinol, ferulic acid, phenethylresorcinol and benzoyl peroxide in commercially available cosmetics.

Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of national bloodstream infection Bacterial Resistant Investigation Collaborative System（BRICS）were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:During the study period，9 035 strains of Gram-negative bacteria were collected from 51 hospitals，of which 7 895（87.4%）were Enterobacteriaceae and 1 140（12.6%）were non-fermenting bacteria. The top 5 bacterial species were Escherichia coli（ n=4 510，49.9%）， Klebsiella pneumoniae（ n=2 340，25.9%）， Pseudomonas aeruginosa（ n=534，5.9%）， Acinetobacter baumannii complex（ n=405，4.5%）and Enterobacter cloacae（ n=327，3.6%）. The ESBLs-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus spp. were 47.1%（2 095/4 452），21.0%（427/2 033）and 41.1%（58/141），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（58/4 510）and 13.1%（307/2 340）；62.1%（36/58）and 9.8%（30/307）of CREC and CRKP were resistant to ceftazidime/avibactam combination，respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 59.5%（241/405），while less than 5% of Acinetobacter baumannii complex was resistant to tigecycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 18.4%（98/534）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of main Gram-negative bacteria resistance among different regions，with statistically significant differences in the prevalence of CRKP and CRPA（ χ2=20.489 and 20.252， P<0.001）. The prevalence of CREC，CRKP，CRPA，CRAB，ESBLs-producing Escherichia coli and Klebsiella pneumoniae were higher in provinicial hospitals than those in municipal hospitals（ χ2=11.953，81.183，10.404，5.915，12.415 and 6.459， P<0.01 or <0.05），while the prevalence of CRPA was higher in economically developed regions（per capita GDP ≥ 92 059 Yuan）than that in economically less-developed regions（per capita GDP <92 059 Yuan）（ χ2=6.240， P=0.012）. Conclusions:The proportion of Gram-negative bacteria in bloodstream infections shows an increasing trend，and Escherichia coli is ranked in the top，while the trend of CRKP decreases continuously with time. Decreasing trends are noted in ESBLs-producing Escherichia coli and Klebsiella pneumoniae. Low prevalence of carbapenem resistance in Escherichia coli and high prevalence in CRAB complex have been observed. The composition ratio and antibacterial spectrum of bloodstream infections in different regions of China are slightly different，and the proportion of main drug resistant bacteria in provincial hospitals is higher than those in municipal hospitals.

Tumor metastasis is closely related to high mortality rate of cancer.It is well known that glutamine plays an important role in the malignant progression of cancer.Notably,as an important carbon and nitrogen donor,glutamine has been found to be closely related to tumor metastasis in recent years.Glutamine is not only involved in regulating the proliferation of tumor cells,but is also closely related to the migration and invasion of tumor cells.Furthermore,various enzymes along with transporters in the metabolism of glutamine are involved in the process of tumor metastasis through different signaling pathways.This review provided a summary of the role of glutamine in tumor metastasis in recent years and proposed therapeutic targets to provide new strategies for the clinical treatment of tumor metastases.

Background and purpose:In 2016 the National Cancer Institute(NCI)decided stopping to use NCI-60 cell lines for drug screening,suggesting that tumor cell lines were losing their value as a tool for drug discovery and basic research.The reason for NCI-60 cells'retirement'was that the preclinical studies based on traditional cellular and animal models did not obtain the corresponding expected efficacy in clinical trials.Since the major cancer behaviors,such as proliferation and metastasis,are fundamentally altered with long-term culture,the tumor cell lines are not representative of the characteristics of cancer in patients.Currently,scientists hope to create a new cancer model that are derived from fresh patient samples and tagged with details about their clinical past.Our purpose was to create patient-derived breast cancer primary cell lines as new cancer model for drug screening and basic research.Methods:Breast cancer tissues were collected in the Department of Breast Surgery,Affiliated Hospital of Guizhou Medical University.The collection of tumor tissue samples was approved by the Ethics Committee of the Affiliated Hospital of Guizhou Medical University(approval number:2022 ethics No.313),and the collection and use of tumor tissues complied with the Declaration of Helsinki.The primary breast cancer cell lines were isolated from the patient's breast cancer tissues and cultured in BCMI medium.After the cells proliferated,the media were replaced with DEME medium.Cell line STR genotyping was done to determine cell-specific genetic markers and identification.Clone formation assay and transplantation assay were done to analyze the ability of breast cancer primary cell lines to form tumors.Results:We created 6 primary breast cancer cell lines.The 6 primary breast cancer cell lines from the patients were tagged with the definitively clinicopathological features,clinical diagnosis,therapeutic regimens,clinical effectiveness and prognostic outcomes.The STR genotyping assays identified the genetic markers and determined the identities of the 6 primary breast cancer cell lines.Clone formation assays and transplantation assay showed that the proliferative capacities of the patient-derived primary breast cancer cell lines were significantly greater compared with the conventional breast cancer cell lines.Conclusion:We created a panel of 6 patient-derived primary breast cancer cell lines as new cancer model for drug screening and basic research in breast cancer.

Radiotherapy can cause functional and morphological changes in the brain tissues of patients with primary or metastatic malignant brain tumors, leading to radiation-induced brain injury. However, the pathogenesis of radiation-induced brain injury has not yet been unanimously determined, and its research advances and treatment protocols are yet to be elucidated and improved. In this study, we explore the pathogenesis of radiation-induced brain injury from the perspective of vascular injury, inflammatory reactions, neuronal dysfunction, glial cell injury, and gut microbiota and reviewed the advances in research on its treatment and prevention. The purpose is to provide a reference and theoretical basis for the research and clinical diagnosis and treatment of radiation-induced brain injury.

Objective:To develop a risk prediction model of acute cerebral infarction (ACI) in patients with type 2 diabetes mellitus (T2DM).Methods:It was a cross-sectional study. The clinical data of 798 patients with T2DM hospitalized in the Department of Endocrinology and Neurology of Shanxi Bethune Hospital from August 2021 to October 2023 were collected. Based on whether they had concurrent ACI, the patients were divided into T2DM with ACI group (case group) and pure T2DM group (control group). The patients were then allocated to a training set ( n=558) and a validation set ( n=240) in a 7∶3 ratio by the sample functions in R software. LASSO regression was employed to screen and optimize variables, and a multivariate logistic regression analysis was used to establish the nomogram prediction model. The discriminative ability, calibration, and clinical usefulness of the risk prediction model were assessed with receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis, respectively. Results:LASSO regression identified gender, age, systolic blood pressure, fasting plasma glucose (FPG), albumin (ALB), and carotid vascular condition as the variables for prediction. The multivariable logistic regression analysis showed that female ( OR=0.489, 95% CI: 0.308-0.778) and ALB ( OR=0.846, 95% CI: 0.795-0.901) were protective factors for ACI occurrence in T2DM patients, while age ( OR=1.051, 95% CI:1.025-1.077), systolic blood pressure ( OR=1.047, 95% CI: 1.034-1.059), FPG ( OR=1.185, 95% CI: 1.089-1.288), and carotid plaque ( OR=7.359, 95% CI: 3.050-17.756) were risk factors. The area under the ROC curve (AUC) for risk of ACI in the training set was 0.863(95% CI: 0.833-0.893), and it was 0.846(95% CI: 0.797-0.896) for the validation set. Calibration curves and the Hosmer-Lemeshow goodness-of-fit test indicated good model fit (training set χ2=8.311, P=0.404; validation set χ2=3.957, P=0.861). Decision curve analysis showed that the clinical effectiveness of the model was higher when the threshold probabilities of the training set and the validation set was 0.02-0.93 and 0.12-0.99, respectively. Conclusion:In this study, a prediction model of ACI risk in T2DM patients was successfully established.

Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-positive bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-positive bacteria from blood cultures in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System（BRICS）were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:A total of 3 163 strains of Gram-positive pathogens were collected from 51 member units，and the top five bacteria were Staphylococcus aureus（ n=1 147，36.3%），coagulase-negative Staphylococci（ n=928，29.3%）， Enterococcus faecalis（ n=369，11.7%）， Enterococcus faecium（ n=296，9.4%）and alpha-hemolyticus Streptococci（ n=192，6.1%）. The detection rates of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococci（MRCNS）were 26.4%（303/1 147）and 66.7%（619/928），respectively. No glycopeptide and daptomycin-resistant Staphylococci were detected. The sensitivity rates of Staphylococcus aureus to cefpirome，rifampin，compound sulfamethoxazole，linezolid，minocycline and tigecycline were all >95.0%. Enterococcus faecium was more prevalent than Enterococcus faecalis. The resistance rates of Enterococcus faecium to vancomycin and teicoplanin were both 0.5%（2/369），and no vancomycin-resistant Enterococcus faecium was detected. The detection rate of MRSA in southern China was significantly lower than that in other regions（ χ2=14.578， P=0.002），while the detection rate of MRCNS in northern China was significantly higher than that in other regions（ χ2=15.195， P=0.002）. The detection rates of MRSA and MRCNS in provincial hospitals were higher than those in municipal hospitals（ χ2=13.519 and 12.136， P<0.001）. The detection rates of MRSA and MRCNS in economically more advanced regions（per capita GDP≥92 059 Yuan in 2022）were higher than those in economically less advanced regions（per capita GDP<92 059 Yuan）（ χ2=9.969 and 7.606， P=0.002和0.006）. Conclusions:Among the Gram-positive pathogens causing bloodstream infections in China， Staphylococci is the most common while the MRSA incidence decreases continuously with time；the detection rate of Enterococcus faecium exceeds that of Enterococcus faecalis. The overall prevalence of vancomycin-resistant Enterococci is still at a low level. The composition ratio of Gram-positive pathogens and resistant profiles varies slightly across regions of China，with the prevalence of MRSA and MRCNS being more pronounced in provincial hospitals and areas with a per capita GDP≥92 059 yuan.

DNA replication is a fundamental DNA metabolism process in living organisms. In human cells, thousands of DNA replication origins are activated simultaneously within the chromatin environment to initiate the replication process and eventually complete genome duplication. This process is regulated by the chromatin environment and coordinated with other chromatin metabolism events, ensuring accurate inheritance of genomic and epigenetic information. With the rapid development of research techniques and the massive accumulation of research data, the systematic understanding of DNA replication in eukaryotic cells, especially in mammals, within complex chromatin environments is a future research trend. Here, we review the multilayered regulatory modes of DNA replication from initiation to termination in the chromatin environment, offering insights for future research.

Objective To analyze the prognosis and influencing factors in patients with radioiodine-refractory differentiated thyroid cancer (RAIR-DTC). Methods A retrospective analysis was conducted on 52 patients with RAIR-DTC who underwent ineffective ¹³¹I therapy at the Department of Nuclear Medicine, Cancer Hospital, Chinese Academy of Medical Sciences from October 2016 to January 2020. Patients were categorized into progression and stable groups based on disease progression within five years post-treatment. Differences between groups were analyzed using chi-square test and logistic regression. Independent prognostic risk factors were identified using a Cox proportional hazards model. The Kaplan-Meier method with log-rank test was used to evaluate the impact of treatment on the prognosis of the progression group. Results The 3-year and 5-year survival rates of the 52 patients with RAIR-DTC were 88.5% and 73.1%, respectively. In the progression group, the rates were 81.8% and 57.6%. In the stable group, the rates were 100% and 100%. There were significant differences between the two groups in terms of age, presence of extrathyroidal extension, and the initial ¹³¹I treatment dose (P < 0.05). Univariate analysis indicated that the age, pre-ablation stimulated thyroglobulin level before the first ¹³¹I treatment, the neutrophil-to-lymphocyte ratio before the first treatment, and the sites of recurrence and metastasis were significantly associated with overall survival (P < 0.05). Multivariate analysis showed that age > 55 years (HR=12.40, 95% CI= 2.09-73.57, P=0.001) and distant metastasis (HR=24.47, 95% CI=4.17-143.75, P < 0.001) were independent risk factors for poor prognosis. Kaplan-Meier curve analysis showed that local surgery and/or targeted therapy significantly prolonged progression-free survival in the progression group (P < 0.001). Conclusion The prognosis for RAIR-DTC is poor, with advanced age and distant metastasis significantly associated with unfavorable outcomes. In elderly patients and those with extrathyroidal invasion, the treatment dose during initial ¹³¹I therapy may be appropriately increased to delay disease progression. For patients with disease progression, prompt local surgical intervention and/or targeted therapy is recommended.