ObjectiveTo evaluate the clinical efficacy of Fuzheng Huaji Formula （扶正化积方） for chronic hepatitis B to reduce the incidence of liver cirrhosis and hepatocellular carcinoma. MethodsA retrospective cohort study was conducted， collecting medical records of 118 patients with chronic hepatitis B and 234 patients with hepatitis B-related cirrhosis who visited the hospital between January 1， 2014， and December 31， 2018. The use of Fuzheng Huaji Formula was designated as the exposure factor. Patients receiving antiviral treatment for hepatitis B without concurrent Fuzheng Huaji Formula therapy were included in the western medicine group， while those receiving antiviral treatment combined with Fuzheng Huaji Formula for a cumulative treatment lasting longer than 3 months were included in the combined treatment group. The follow-up observation period was five years. Kaplan-Meier survival analysis was used to assess the cumulative incidence of cirrhosis in patients with chronic hepatitis B and the cumulative incidence of hepatocellular carcinoma in patients with hepatitis B-related cirrhosis. Univariate and multivariate Cox regression analyses were employed to examine the factors influencing the occurrence of cirrhosis and hepatocellular carcinoma. ResultsAmong patients with chronic hepatitis B， there were 55 cases in the combined treatment group and 63 cases in the western medicine group； among patients with hepatitis B-related cirrhosis， there were 110 cases in the combined treatment group and 124 cases in the western medicine group. Five-year follow-up outcomes for chronic hepatitis B patients showed that the cumulative incidence of cirrhosis was 5.45% （3/55） in the combined treatment group and 17.46% （11/63） in the western medicine group， with a statistically significant difference between groups （Z = 2.003， P = 0.045）. Five-year follow-up outcomes for hepatitis B-related cirrhosis patients showed that the cumulative incidence of hepatocellular carcinoma was 8.18% （9/110） in the combined treatment group and 22.58% （28/124） in the western medicine group， also showing a statistically significant difference （Z = 3.007， P = 0.003）. Univariate and multivariate Cox regression analyses indicated that treatment with Fuzheng Huaji Formula is an independent protective factor in preventing the progression of chronic hepatitis B to cirrhosis and the progression of hepatitis B-related cirrhosis to hepatocellular carcinoma （P＜0.05）. ConclusionCombining Fuzheng Huaji Formula with antiviral therapy for hepatitis B can effectively intervene in the disease progression of chronic hepatitis B， reducing the incidence of cirrhosis and hepatocellular carcinoma.

Sepsis-induced lung injury is a common type of sepsis complicated with multiple organ dysfunction syndrome， whose uncontrolled inflammatory response and oxidative stress are the key pathological mechanisms. As an important pathway of anti-inflammatory and anti-oxidative stress， the nuclear factor-erythroid 2-related factor 2 （Nrf2） signaling pathway is very important in the occurrence and development of sepsis-induced lung injury. This review summarizes relevant research conducted over the past decade on the regulation of the Nrf2 signaling pathway by traditional Chinese medicine （TCM） to ameliorate sepsis- induced lung injury. It has been found that 14 kinds of TCM effective ingredients （including five types of compounds： flavonoids， terpenes， alkaloids， saponins， phenols） and 6 kinds of compound preparations （including three types of formulas： heat-clearing and detoxifying formulas， purgative formulas for promoting bowel movement， and formulas for reinforcing vital qi and consolidating the constitution） can inhibit inflammatory responses and oxidative stress by activating Nrf2 signaling pathway and intervening in related pathways such as those involving Kelch-like ECH-associated protein 1， heme oxygenase-1， antioxidant response element and AMP-activated protein kinase， thereby alleviating sepsis-induced lung injury.

ObjectiveTo investigate the modifiable areal unit problem （MAUP） in the spatial pattern of Pseudostellaria heterophylla production regions and reveal the impact of statistical scales on the spatial distribution characteristics of this medicinal plant species. MethodsUsing multi-source data （literature records， field surveys， and statistical data）， we systematically analyzed the spatial patterns across three administrative levels （provincial， prefectural， and county scales）. Spatial autocorrelation （Moran's I） analysis， high-low clustering （Getis-Ord General G）， and hot/cold spot analysis （Getis-Ord Gi*） were employed. ResultsThe literature-based analysis showed that the production regions of P. heterophylla presented random distribution on the provincial scale and significant aggregation on the prefectural scale. The field survey data showed that the production regions displayed random distribution on the provincial scale but significant aggregation on both prefectural and county scales. The statistical data revealed that the production regions lacked spatial autocorrelation on the provincial scale but demonstrated significant aggregation on prefectural and county scales. ConclusionMAUP effects have substantive implications for understanding and decision-making in the arrangement of medicinal plant production regions. The county scale proves to be the most sensitive and explanatory level for analyzing the spatial pattern of P. heterophylla production regions， providing a critical foundation for habitat modeling， suitability evaluation， and ecological cultivation planning of medicinal plants.

OBJECTIVE To analyze the chemical constituents and components absorbed into plasma of the extract of Ardisia crenata and to elucidate its possible pharmacodynamic material basis. METHODS Overall， 12 rats were randomly assigned to the blank group （n＝6） and A. crenata group （n＝6） by the paired comparison method. The drug was administered once daily in the morning and afternoon for three days. Serum samples were prepared from serum after redosing on 4th day. The UPLC-QE-HF-MS/ MS was used to analyze and identify the chemical constituents in A. crenata extract and serum samples. Compound Discoverer 3.0 was employed for retention time correction， peak identification， and peak extraction. According to the secondary mass spectrometry information， the Thermo mzCloud online and Thermo mzVault local databases， referring to the relevant literature and control quality spectrum information were used to preliminarily identify the chemical constituents and components absorbed into plasma of A. crenata. RESULTS A total of 34 compounds were identified from the extract of A. crenata， mainly coumarins， flavonoids， organic acids， amino acids， including bergenin， quercetin， gallic acid， L-pyroglutamic acid， etc. Besides， 5 components absorbed into plasma were identified from serum samples: L-pyroglutamic acid， syringic acid， bergenin， cinnabar root saponin A， and mycophenolic acid. CONCLUSIONS L-pyroglutamic acid， syringic acid， bergenin， cinnabar root saponin A， and mycophenolic acid may act as the pharmacodynamic material basis of A. crenata.

Objective To investigate the mutation types of colorectal neuroendocrine tumors(NETs)and better un-derstand the pathogenesis of colorectal nets.Methods Patients undergoing colorectal NETs surgery were recruited,colorectal NETs and corresponding adjacent cancerous tissues were collected,and whole genome sequencing(WGS)was performed and further deeply analyzed.Results WGS sequencing showed that the mutation types of colorectal NETs included single nucleotide mutations,insertion and deletion mutations(InDel,less than 50 bp in length),copy number variations(CNV),and large structural variations(SV,more than 50 bp in length),such as insertion(INS),deletion(DEL),intra chromosomal translocation(ITX),inter chromosomal translocation(CTX)and inversion(INV).Conclusions A large number of somatic mutations occur in colorectal NETs,especially chro-mosome translocation

Objective:To investigate the effect of interleukin-12(IL-12)on liver lesions and oxidative stress pathway in Sjo-gren's syndrome mice,and to clarify the possible mechanism of liver lesions in Sjogren's syndrome.Methods:Saliva flow rate,liver function,liver pathology and IL-12 level were measured in NOD,IL-12 knockout(IL-12KO)NOD and C57BL/6(B6)mice.Different concentrations of IL-12 and JAK2,TYK2 inhibitors were applied to mouse hepatoma cells.The oxidative stress index of mouse serum and cell culture supernatants of each group were determined.Results:Compared with the other two groups of mice,the NOD mice had significantly higher GOT and GPT(P<0.05),and decreased serum GSH-PX,SOD and CAT(P<0.05).CAT,GSH,GSH-PX and SOD were decreased,while MDA was increased in mice treated with different concentrations of IL-12.JAK2/TYK2 inhibitors reversed regulatory effects of IL-12 on SOD,GSH and MDA in hepatoma cells(P<0.05).Conclusion:IL-12 may aggravated liver damage of Sj?gren's syndrome through promoting oxidative stress of hepatocytes.

Objective:To explore the related prognostic factors in patients with aortic dissection (AD) after surgery or interventional therapy, and to construct a multi-factor Cox regression analysis nomogram prediction model.Methods:The clinical data of patients diagnosed with AD in the emergency department of Affiliated Hospital of Jining Medical University of Shandong Province from January 2019 to December 2021 were collected to analyze retrospectively. The survival time was followed up, the survival curve was drawn by Kaplan-Meier method, the difference of survival rate among different Stanford types was tested by Log-Rank test, and Cox regression univariate and multivariate survival analysis was used to screen the prognostic factors. According to the results of multivariate analysis, the death risk nomogram model after AD was established, the differentiation of the model was evaluated by C-index, the accuracy of the model was evaluated by calibration curve, and the clinical benefit of the model was evaluated by decision curve analysis (DCA).Results:A total of 256 patients with AD were included, the mortality rate was 4.45% (37/256), and the overall survival rates at 3 months, 6 months and 12 months after operation were 90.23%, 87.50% and 85.55%, respectively. There was no significant difference in postoperative survival rate among AD patients with different Stanford types (χ 2=2.30, P=0.13). Cox multivariate regression analysis showed that history of hypertension ( HR=3.791, 95% CI 1.150-12.501, P=0.029), number of branch vessels involved ( HR=1.210, 95% CI 1.029-1.422, P=0.021), preoperative left ventricular ejection fraction (LVEF) ( HR=0.936, 95% CI 0.880-0.996, P=0.038) and perioperative complications ( HR=4.024, 95% CI 1.839-8.807, P<0.001) were independent prognostic factors in patients with AD. Furthermore, the predictive nomogram model of 3-month, 6-month and 12-month survival rate in patients with AD was constructed, and the C-index was 0.778. The calibration curve indicated that the accuracy of the model was good, and the clinical benefit of the DCA model was good. Conclusions:Hypertension history, the number of branch vessels involved, preoperative LVEF and perioperative complications are independent risk factors of postoperative death in patients with AD. The nomogram prediction model based on the above factors can be used to evaluate the postoperative survival of patients with AD.

In order to deal with the problem of the safety of Chinese herbal medicine in a scientific way and further meet the growing health needs of people,it is particularly important to deepen the research on herb-induced liver injury.This article elaborates on the phenotypic characteristics and toxicological mechanisms of herb-induced liver injury and emphasizes that it should not only rely on the previous knowledge of the toxicity of Chinese herbal medicine,but also understand the new types of idiosyncratic toxicity,indirect toxicity,and mixed toxicity,which provide a new perspective for understanding the toxicological mechanisms of herb-induced liver injury and are of great importance to investigate the phenotype and toxicological mechanism of herb-induced liver injury.

Objective: To analyze the characteristics of fine particulate matter (PM2.5) pollution in Urumqi City, Xinjiang Uygur Autonomous Region from 2016 to 2023 and establish a prediction model, so as to provide the reference for air pollution prevention and control. Methods: PM2.5 monitoring data of Urumqi City from 2016 to 2023 were collected through the website of Ministry of Ecology and Environment of China. The changing trend of PM2.5 concentration was analyzed using temporal chart and seasonal index. PM2.5 monthly average concentrations from 2016 to 2023 were used to establish an autoregressive integrated moving average (ARIMA) model, and the data in 2023 was fitted and compared with the actual values, using mean absolute percentage error (MAPE) to evaluate the effectiveness of the model, and PM2.5 monthly average concentration from 2024 to 2025 was predicted. Results: PM2.5 daily average concentration in Urumqi City showed a decreasing trend from 2016 to 2023 (rs=-0.239, P<0.001), with high seasonal indexes in January, February and December, indicating certain seasonal characteristics. The optional model was ARIMA (1, 0, 0) (1, 1, 0)12, with the value of Akaike information criterion, corrected Akaike information criterion, and Bayesian information criterion being 727.38, 727.88 and 737.10, respectively. PM2.5 monthly average concentration in 2023 was fitted and compared with the actual values, with an absolute error range of 0.31-7.45 μg/m3, a relative error range of 0.01-0.53, and MAPE of 14.42%. PM2.5 monthly average concentration in Urumqi City from 2024 to 2025 was predicted to be consistent with the trend from 2016 to 2023. Conclusions PM2.5 concentration in Urumqi City showed a tendency towards a decline from 2016 to 2023, and was relatively high in winter. ARIMA (1, 0, 0) (1, 1, 0)12 can be used for short-term prediction of PM2.5 pollution in Urumqi City.

Objective:To investigate the value of systemic inflammatory response syndrome (SIRS), pediatric sequential organ failure assessment (pSOFA) and pediatric critical illness score (PCIS) in predicting mortality of pediatric sepsis in pediatric intensive care units (PICU) from Southwest China.Methods:This was a prospective multicenter observational study. A total of 447 children with sepsis admitted to 12 PICU in Southwest China from April 2022 to March 2023 were enrolled. Based on the prognosis, the patients were divided into survival group and non-survival group. The physiological parameters of SIRS, pSOFA and PCIS were recorded and scored within 24 h after PICU admission. The general clinical data and some laboratory results were recorded. The area under the curve (AUC) of the receiver operating characteristic curve was used to compare the predictive value of SIRS, pSOFA and PCIS in mortality of pediatric sepsis.Results:Amongst 447 children with sepsis, 260 patients were male and 187 patients were female, aged 2.5 (0.8, 7.0) years, 405 patients were in the survival group and 42 patients were in the non-survival group. 418 patients (93.5%) met the criteria of SIRS, and 440 patients (98.4%) met the criteria of pSOFA≥2. There was no significant difference in the number of items meeting the SIRS criteria between the survival group and the non-survival group (3(2, 4) vs. 3(3, 4) points, Z=1.30, P=0.192). The pSOFA score of the non-survival group was significantly higher than that of the survival group (9(6, 12) vs. 4(3, 7) points, Z=6.56, P<0.001), and the PCIS score was significantly lower than that of the survival group (72(68, 81) vs. 82(76, 88) points, Z=5.90, P<0.001). The predictive value of pSOFA (AUC=0.82) and PCIS (AUC=0.78) for sepsis mortality was significantly higher than that of SIRS (AUC=0.56) ( Z=6.59, 4.23, both P<0.001). There was no significant difference between pSOFA and PCIS ( Z=1.35, P=0.176). Platelet count, procalcitonin, lactic acid, albumin, creatinine, total bilirubin, activated partial thromboplastin time, prothrombin time and international normalized ratio were all able to predict mortality of sepsis to a certain degree (AUC=0.64, 0.68, 0.80, 0.64, 0.68, 0.60, 0.77, 0.75, 0.76, all P<0.05). Conclusion:Compared with SIRS, both pSOFA and PCIS had better predictive value in the mortality of pediatric sepsis in PICU.