Metabolic associated fatty liver disease （MAFLD） is the main type of chronic liver disease in the world， with an increasingly higher incidence rate and a younger age of onset. At present， the treatment of MAFLD mainly depends on lifestyle intervention and comorbidity management， and there is still a lack of effective drugs for MAFLD itself. As a classic nonsteroidal anti-inflammatory drug of the salicylic acid family， aspirin can intervene in the pathological process of MAFLD by regulating lipid metabolism， relieving insulin resistance， reducing liver inflammation and oxidative stress response， exerting an anti-liver fibrosis effect， and inhibiting hepatocellular carcinoma， and therefore， it has the value of preventing disease onset， delaying disease progression， and reversing disease condition. This article systematically reviews the mechanism of action and safety of aspirin in the treatment of MAFLD， in order to provide more drug treatment options for MAFLD patients.

OBJECTIVE To analyze the chemical constituents and absorbed prototype components in blood of Zhenyang jiuxin decoction， and explore its potential active substances in the treatment of chronic heart failure （CHF）. METHODS SD rats were divided into a blank group （distilled water） and administration groups with blood collection at 0， 15， 30 and 60 min after dosing （14.96 g/kg calculated by crude drug）， with 2 rats in each group. Intragastric administration was conducted once every 12 hours for 3 consecutive days. After the last administration， rat blood was collected to prepare drug-containing serum. UPLC-Q-Exactive Orbitrap HRMS combined with the Global Natural Products Social Molecular Networking technology was adopted to identify the chemical constituents of Zhenyang jiuxin decoction and the absorbed prototype components in blood in drug-containing serum. Moreover， network pharmacology， molecular docking and molecular dynamics simulation were used to predict the potential active components and action targets for CHF treatment. RESULTS A total of 116 chemical constituents were identified from Zhenyang jiuxin decoction， including flavonoids （29 species）， terpenoids （26 species）， saponins （22 species） and other compounds. Twenty absorbed prototype components in blood were detected in drug-containing serum， including icariin， ginsenoside Rg 1 and atractylenolide Ⅰ. Six key active components （icariin， ginsenoside Rg 1 ， atractylenolide Ⅰ， hexadecanamide， etc.） and six core k ey targets such as glycogen synthase kinase-3β （GSK-3β）， amyloid precursor protein （APP） and epidermal growth factor receptor （EGFR） were screened out via network pharmacology. Molecular docking results showed that all key active components had favorable binding activity with core targets； among them， icariin had the strongest binding capacity to APP. Molecular dynamics simulation verified that the complex formed by icariin and APP possessed excellent stability. CONCLUSIONS The potential active substances of Zhenyang jiuxin decoction against CHF are icariin， ginsenoside Rg₁， atractylenolide Ⅰ and other ingredients， which act on APP， EGFR， GSK-3β and other targets. APP may serve as one of the important action targets of icariin.

OBJECTIVE To analyze the chemical constituents and absorbed prototype components in blood of Zhenyang jiuxin decoction， and explore its potential active substances in the treatment of chronic heart failure （CHF）. METHODS SD rats were divided into a blank group （distilled water） and administration groups with blood collection at 0， 15， 30 and 60 min after dosing （14.96 g/kg calculated by crude drug）， with 2 rats in each group. Intragastric administration was conducted once every 12 hours for 3 consecutive days. After the last administration， rat blood was collected to prepare drug-containing serum. UPLC-Q-Exactive Orbitrap HRMS combined with the Global Natural Products Social Molecular Networking technology was adopted to identify the chemical constituents of Zhenyang jiuxin decoction and the absorbed prototype components in blood in drug-containing serum. Moreover， network pharmacology， molecular docking and molecular dynamics simulation were used to predict the potential active components and action targets for CHF treatment. RESULTS A total of 116 chemical constituents were identified from Zhenyang jiuxin decoction， including flavonoids （29 species）， terpenoids （26 species）， saponins （22 species） and other compounds. Twenty absorbed prototype components in blood were detected in drug-containing serum， including icariin， ginsenoside Rg 1 and atractylenolide Ⅰ. Six key active components （icariin， ginsenoside Rg 1 ， atractylenolide Ⅰ， hexadecanamide， etc.） and six core k ey targets such as glycogen synthase kinase-3β （GSK-3β）， amyloid precursor protein （APP） and epidermal growth factor receptor （EGFR） were screened out via network pharmacology. Molecular docking results showed that all key active components had favorable binding activity with core targets； among them， icariin had the strongest binding capacity to APP. Molecular dynamics simulation verified that the complex formed by icariin and APP possessed excellent stability. CONCLUSIONS The potential active substances of Zhenyang jiuxin decoction against CHF are icariin， ginsenoside Rg₁， atractylenolide Ⅰ and other ingredients， which act on APP， EGFR， GSK-3β and other targets. APP may serve as one of the important action targets of icariin.

Objective To preliminarily design a wide-energy-spectrum CR-39 solid-state nuclear track individual neutron dosimeter with different energy sections. Methods The thickness of the converter was optimized using the Monte Carlo SRIM program to broaden the energy range of the dosimeter. The self-made wide-energy-spectrum CR-39 individual neutron dosimeter was calibrated using ²⁴¹Am-Be, ²⁵²Cf, and thermal neutron sources to evaluate its dosimetric performance, including linearity, energy response, and neutron energy resolution. Results The linear correlation coefficient of the measurement system exceeded 0.98. The relative deviations of the energy response were 35.0% for blank section and 42.0% for polyethylene section, falling within the range of −50% to + 100% and meeting the monitoring requirements. The detection sensitivity for thermal neutron dose was 67 137.2 tr·cm⁻²·mSv⁻¹, and the detection sensitivity for thermal neutron fluence was 0.98 × 10⁻³ tr·n⁻¹, demonstrating good thermal neutron detection capability. Conclusion The self-made wide-energy-spectrum CR-39 individual neutron dosimeter fundamentally meets the requirements for individual neutron dose monitoring and is suitable for individual neutron dose monitoring in the energy range of thermal neutrons (up to approximately 15 MeV).

Objective To identify the reasons why the monitored personal doses of radiation worker A in an institution exceeded the investigation level in 2023 and 2024, and remind workers to wear personal dosimeters in a standardized manner in scenarios such as work and business trips to ensure the authenticity and reliability of the monitoring data. Methods A thermoluminescence measurement system was used to read the personal dosimeters worn by radiation workers. Investigations were carried out on personnel whose doses exceeded the investigation level described in the “Specifications for individual monitoring of occupational external exposure” (GBZ 128—2019). The reasons for doses exceeding the investigation level were analyzed using additional dosimeters and conducting on-site experiments. Results In 2023 and 2024, radiation worker A recorded a total of 5 personal dose equivalents exceeding the investigation level (1.23 mSv) over a total of 8 monitoring cycles (each lasting 90 days). Following one cycle where the dose exceeded the investigation level, two additional dosimeters (each for a 30-day cycle) were issued to worker A, revealing readings below the investigation level for the 30-day monitoring cycle (0.41 mSv). The reading for the dosimeter was 2-3 μSv per time when passing through an X-ray security scanner, and approximately 2.10 mSv per time when passing through a computed tomography security scanner. Conclusion Within a 90-day monitoring cycle, a single exposure of a personal dosimeter to a computed tomography security scanner can result in a dose exceeding the investigation level. Radiation workers should avoid placing dosimeters in backpacks or suitcases that pass through computed tomography security scanners during business trips, so as to reduce the impact of security scanner irradiation on personal dose monitoring.

Objective:To explore the relationship between Epstein-Barr virus (EBV) infection, hepatitis B virus (HBV) reactivation and clinical features and prognosis in HBV-infected non-Hodgkin lymphoma (NHL) patients and influencing factors of HBV reactivation.Methods:A retrospective cohort study was conducted. A total of 80 NHL patients with hepatitis B surface antigen (HBsAg) positive (which was defined as HBV positive) who were admitted to the Second People's Hospital of Lianyungang and Jiangsu Province Hospital from December 2012 to October 2022 were selected. All patients were divided into EBV-positive group and EBV-negative group according to EBV DNA results, and further grouped into the HBV reactivation group and the non-reactivation group according to whether HBV were reactivated after chemotherapy. The clinical characteristics of patients among groups were compared. Multivariate logistic regression model was used to analyze the factors influencing HBV reactivation. The Kaplan-Meier method was used to evaluate the progression-free survival (PFS) and overall survival (OS) of patients, and the log-rank test was used for inter-group comparison.Results:Among NHL patients with HBV positive, 27 cases (33.8%) were EBV-positive and 29 cases (36.3%) were HBV reactivation. Compared with the EBV-negative group, the proportion of patients with Ann Arbor stage Ⅲ-Ⅳ [92.6% (25/27) vs. 66.0% (35/53)], elevated β 2-microglobulin level [88.9% (24/27) vs. 62.3% (33/53)], bone marrow involvement [40.7% (11/27) vs. 15.1% (8/53)], and HBV reactivation [51.9% (14/27) vs. 28.3% (15/53)] was higher in the EBV-positive group, and the differences were statistically significant (all P<0.05). There were no statistically significant differences in the composition of patients stratified by age, gender, pathological type, B symptom, lactate dehydrogenase level, international prognostic index score, number of extranodal involvements, liver involvement, hepatitis outbreak, prophylactic anti-HBV therapy, hepatitis B surface antibody (HBsAb), rituximab therapy, and the last chemotherapy effects between the 2 groups (all P > 0.05). Compared with the HBV non-reactivation group, the proportion of patients undergoing hepatitis outbreak [48.3% (14/29) vs. 17.6% (9/51)], not receiving prophylactic anti-HBV therapy [65.5% (19/29) vs. 39.2% (20/51)], HBsAb negative [79.3% (23/29) vs. 21.6% (11/51)], EBV positive [48.3% (14/29) vs. 25.5% (13/51)], receiving rituximab [82.8% (24/29) vs. 60.8% (31/51)] was higher in the HBV reactivation group, and the differenves were statistically significant (all P < 0.05); while there were no statistically significant differences in the composition of patients stratified by the other clinical characteristics between the 2 groups (all P > 0.05). Multivariate logistic regression analysis showed that EBV-positivity was an independent risk factor for HBV reactivation after chemotherapy in NHL patients with HBsAg positive ( OR = 7.073, 95% CI: 1.613-31.010, P = 0.009), while HBsAb positive ( OR = 0.038, 95% CI: 0.008-0.186, P < 0.001) and preventive anti-HBV therapy ( OR = 0.172, 95% CI: 0.039-0.756, P = 0.020) were independent protective factors. The last follow-up was in December 2023 and the median follow-up time was 36.5 months. There were no statistically significant differences in PFS and OS between the EBV-positive group and the EBV-negative group, HBV reactivation group and the non-reactivation group (all P > 0.05). Conclusions:Among HBV-infected NHL patients, those with concurrent EBV infection have a more advanced clinical stage and are very prone to bone marrow invasion, and they also show a higher probability of HBV reactivation; HBV reactivation may be related to whether receiving preventive anti-HBV therapy and rituximab therapy. EBV infection may increase the risk of HBV reactivation in NHL patients; EBV infection and HBV reactivation may not be relevant to the prognosis of patients.

Acute T-lymphoblastic leukemia (T-ALL) is a hematopoietic malignancy, and in recent years, with the advancement of combined chemotherapy and hematopoietic stem cell transplantation, the prognosis of T-ALL has improved significantly, but for patients with primary drug resistance or relapsed/refractory disease the prognosis is still poor. The plant homeodomain finger 6 (PHF6) is a tumor suppressor protein, it plays a pivotal role in T cell differentiation, epigenetic regulation and oncogenic pathway synergy, and its mutations and deletions are commonly associated with the development of T-lymphocytic leukemia. However, the underlying mechanism of PHF6 in the pathogenesis of T-ALL remains unclear. This article reviews the structure, function and mechanism of action of PHF6 in T-ALL, the important coexisting genes associated with the progression of T-ALL, and the research progress in targeted therapy.

Objective To investigate the causal relationship between gut microbiota and diffuse large B-cell lymphoma(DLBCL).Methods Employed a two-sample bidirectional Mendelian randomization approach,using summary statistics from genome-wide association studies(GWAS)to extract single nucleotide polymor-phisms(SNPs)associated with exposure and outcome as instrumental variables.Exposure instrumental varia-bles(P＜1×10-5)and outcome instrumental variables(P＜5×10-8)were selected based on the P-values of SNPs.Three different Mendelian randomization methods were used to analyze the relationship between gut microbiota and DLBCL,with sensitivity analyses including heterogeneity,pleiotropy,and leave-one-out tests.Results Bilophila(OR=2.043,95%CI:1.279-3.264),Coprobacter(OR=1.371,95%CI:1.035-1.816),Eubacterium eligens group(OR=1.996,95%CI:1.291-3.087)increased the risk of DLBCL.Alistipes(OR=0.588,95%CI:0.359-0.963),Eubacterium eligens group(OR=1.996,95%CI:1.291-3.087),Slackia(OR=0.688,95%CI:0.479-0.988)reduced the risk of DLBCL.Reverse Mendelian randomization a-nalysis failed to reveal any evidence of a causal relationship between DLBCL and the six gut microbiota.Con-clusion There is a causal association between gut microbiota and DLBCL.

Objective To construct and validate a prediction model for urosepsis in patients after upper urinary tract stone surgery using various machine learning algorithms.Methods A total of 7 464 upper urinary tract stone patients who underwent surgery at the Sixth Affiliated Hospital of Guangxi Medical University from Jun.2018 to Jun.2023 were enrolled and randomly assigned to training(5 224 cases)or validation sets(2 240 cases)at a ratio of 7∶3.Among them,622(8.33%)cases developed urosepsis postoperatively.Six machine learning algorithms,including extreme gradient boosting(XGBoost),logistic regression,light gradient boosting machine(LightGBM),random forest(RF),adaptive boosting(AdaBoost),and gradient boosting decision tree(GBDT),were used to construct prediction models for postoperative urosepsis.The model's predictive ability and clinical benefits were evaluated using receiver operating characteristic(ROC)curves,Shapley additive explanation(SHAP)analysis,calibration curves,and decision curve analysis(DCA).Results The clinical features included body mass index(BMI),number of surgeries,heart rate,Barthel index,venous thrombo embolism(VTE)risk assessment,gender,American Society of Anesthesiologists(ASA)grade,urinary nitrite,and urinary leukocyte in the models.In the training set,the XGBoost,LightGBM,and RF models performed excellently,with area under curve(AUC)values of ROC curves reaching 1.00.In the validation set,the logistic regression model performed the best,with an AUC value of ROC curve of 0.76,showing good predictive stability and calibration.The AdaBoost and GBDT models followed with AUC values of 0.74 and 0.75,respectively,while the AUC values of the LightGBM,XGBoost,and RF models were 0.71,0.70,and 0.68.In terms of model interpretability,SHAP analysis showed the contribution of variables in a descending order as:heart rate,urinary leukocytes,gender,BMI,Barthel index,VTE risk assessment,urinary nitrite,number of surgeries,and ASA grade.Conclusion A logistic regression model for early risk prediction of postoperative urosepsis in upper urinary tract stone patients has been successfully constructed.This model has good predictive performance and calibration,and can effectively assist clinical diagnosis.

With reference to the Information and Documentation-Resource Description (GB/T 3792-2021) and Bibliographical Description for Ancient Chinese Books (GB/T 3792.7-2008) and other cataloging standards and rules, drawing on the practical experience of cataloging ancient TCM books, Bibliographical Cataloging for Ancient TCM Books was formulated. This standard specifies the entry items and their order of ancient TCM books, cataloging identifier, cataloging text, cataloging information source, and cataloging item details. The standard can provide standardized and unified guiding principles and methods for the work of ancient TCM books, and promote the sharing and utilization of ancient TCM books.