ObjectiveHistorically documented Zhejiang Atractylodis Macrocephalae Rhizoma（Baizhu） possesses premium characteristics such as phoenix-like head and crane-like neck， pronounced sweetness， and fragrant aroma. However， its current market circulation is low， and the processed products with Zhejiang-style characteristics are at the risk of being lost. This study aims to preserve the ancient Zhejiang-style processing techniques and evaluate them using modern scientific methods. MethodsMultidimensional intelligent sensory evaluation was used to digitally characterize the "quality-structure" of the external appearance of nine-steamed and nine-processed Baizhu medicinal materials（intermediate processed products） and the "odor-taste" of the internal quality of its decoction pieces（slices）， and the appearance parameters were digitally characterized by colorimeter， texture analyzer， electronic nose and electronic tongue， the chemical composition was analyzed via ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）. Then， cluster analysis on the differences in odor between the medicinal materials（intermediate processed products） and decoction pieces（slices） of nine-steamed and nine-processed Baizhu was conducted， as well as the differences in taste between water-soluble and alcohol-soluble extracts of the decoction pieces（slices）， and the correlation analysis of chroma value-alcohol-soluble extract content-component response value. ResultsThe nine-steamed and nine-processed Baizhu had a dark brown to black epidermis， a brownish-yellow to brownish-gray cross-section， a slightly tough texture， a faint odor， and a slightly sweet， bitter and pungent taste. Texture analyzer measurements revealed minimal adhesion and maximum recovery in the middle section of the characteristic processed Baizhu， consistent with the processing endpoint of thorough steaming and cooking. The head section showed the highest internal hardness， elasticity and chewiness， indicating a denser texture in this area. The electronic nose sensor could clearly distinguish the difference between the medicinal materials and its decoction pieces， with a more significant clustering effect at 60 ℃ for 30 minutes compared to ambient temperature headspace for 2 hours， highlighting the significant impact of the baking degree before slicing on the quality. The electronic tongue taste signal map clearly distinguished the differences between water-soluble and alcohol-soluble extracts of nine-steamed and nine-processed Baizhu decoction pieces， and the addition of auxiliary materials during processing could enhance its alcohol-soluble extract content. A total of 82 chemical components were identified in the characteristic processed Baizhu. After processing， the contents of 58 components increased， while 24 components decreased. Correlation analysis revealed significant negative correlations（P<0.01） between ethanol-soluble extract content and colorimetric values of brightness（L^*）， yellow-bule value（b^*）， and total color difference（E^*_ab）. E^*_ab showed marked negative correlations（P<0.05） with the response values of isochlorogenic acid A and C. ConclusionThis study establishes a modern intelligent sensory evaluation model for multidimensional holographic characterization of nine-steamed and nine-processed Baizhu， clarifying the correlation between increased isochlorogenic acid content and the visual color appearance after different steaming cycles， as well as its intrinsic alcohol-soluble extracts. This provides a reference for quality evaluation and processing standards of the Zhejiang-style characteristic processed products.

AIM: To analyze the influencing factors of cognitive dysfunction in patients with open angle glaucoma, and construct a risk prediction decision tree model. METHODS:Retrospective study. The clinical data of patients with open angle glaucoma treated in the hospital from February 2022 to November 2024 were collected, and patients were divided into a cognitive dysfunction group and a cognitive function normal group according to the evaluation results of the Montreal Cognitive Assessment Scale(MoCA)at the time of admission, and the clinical data of the two groups were compared. The influencing factors of cognitive dysfunction in patients with open angle glaucoma were analyzed through Logistic regression model, and the decision tree model was analyzed and constructed based on the clinical data of the two groups through the decision tree CHAID algorithm, and the predictive performance of two models was compared using receiver operating characteristic(ROC)curves. RESULTS:The total of 179 patients with open angle glaucoma were included in this study, and were divided into a cognitive dysfunction group of 107 cases(59 males and 48 females, with 66 cases aged ≥60 y)and a cognitive function normal group of 72 cases(34 males and 38 females, with 28 cases aged ≥60 y)according to the MoCA assessment results at the time of patient admission.The incidence of cognitive dysfunction was 59.8%(107/179). The proportion of age ≥60y, education level of junior high school or below, hypertension, sleep disorders, and middle/late stage diseases in the cognitive dysfunction group were higher than those in the cognitive function normal group(all P<0.05). Logistic regression analysis showed that age ≥60 y, education level of junior high school or below, hypertension, sleep disorders, and middle/late stage disease were all risk factors for cognitive dysfunction in patients with open angle glaucoma(all P<0.05). The risk prediction decision tree model constructed using the decision tree CHAID algorithm included 4 layers and 11 nodes, and it outputed 5 risk variables: disease severity, age, sleep disorders, education level, and hypertension. Among them,the disease severity was the first layer risk variable. The ROC curve showed that the area under curve for predicting cognitive dysfunction in patients with open angle glaucoma using the risk prediction decision tree model and logistic regression model was 0.849 and 0.842 respectively, and there was no statistically significant difference in the predictive value between the two models(P>0.05). CONCLUSION: The disease severity, age, sleep disorders, education level, and hypertension are influencing factors for cognitive dysfunction in patients with open angle glaucoma, and the risk prediction decision tree model analyzed and constructed by the decision tree CHAID algorithm has good predictive value for cognitive dysfunction.

OBJECTIVE:To evaluate the efficacy and safety of different immunosorbent columns in the treatment of rheumatoid arthritis through a network meta-analysis,and provide evidence-based basis for clinical diagnosis and treatment.METHODS:By computer,the databases of VIP,WanFang,CNKI,PubMed,CBM,CochraneLibrary,and Web of Science were searched for published cohort studies of immunosorbent column for the treatment of rheumatoid arthritis,with a time limit until August 2024.The quality of the included randomized controlled trials was assessed using the Cochrane5.4 manual.The quality of retrospective cohort studies were evaluated via the Newcastle-Ottawa Scale(NOS).Bayesian network meta-analysis was performed using R4.1.1 software.RESULTS:A total of 13 studies were included,with a total sample size of 891 cases,and 4 immunosorbent columns were included.The results of the network meta-analysis showed that the top three orders that reduce C-reactive protein level:HA280 adsorption column+conventional Western medicine＞PH-350 adsorption column+conventional Western medicine＞A protein adsorption column;the top three orders that reduce erythrocyte sedimentation rates:leukocyte adsorption column＞HA280 adsorption column+conventional Western medicine＞PH-350 adsorption column+conventional western medicine;the top three orders that reduce swollen joint count:leukocyte adsorption column＞A protein adsorption column+conventional western medicine＞PH-350 type adsorption column+conventional Western medicine;the top three orders that reduce tenderness joint counts:leukocyte adsorption column＞A protein adsorption column+conventional western medicine＞PH-350 adsorption column+conventional Western medicine;the top three orders that reduce patients' disease activity evaluation:PH-350 adsorption column+conventional western medicine＞leukocyte adsorption column＞A protein adsorption column;the top three orders that reduce visual analogue scale scores:PH-350 adsorption column+conventional Western medicine＞A protein adsorption column＞leukocyte adsorption column;the top three orders that reduce physician's disease activity assessment:PH-350 adsorption column+conventional Western medicine＞leukocyte adsorption column＞conventional Western medicine.CONCLUSION:Based on the 13 articles,in terms of reducing C-reactive protein level,HA280 adsorption column and conventional Western medicine are the preferred choice.In terms of reducing erythrocyte sedimentation rate,swollen joint count,and tender joint count,leukocyte adsorption column is the preferred choice.In terms of reducing patient's disease activity evaluation,physician's disease activity evaluation and visual analogue scale scores,PH-350 adsorption column and conventional Western medicine are the first choice.Different immunosorbent columns can be reasonably and accurately selected according to the patient's specific conditions.

OBJECTIVE:To evaluate the efficacy and safety of different immunosorbent columns in the treatment of rheumatoid arthritis through a network meta-analysis,and provide evidence-based basis for clinical diagnosis and treatment.METHODS:By computer,the databases of VIP,WanFang,CNKI,PubMed,CBM,CochraneLibrary,and Web of Science were searched for published cohort studies of immunosorbent column for the treatment of rheumatoid arthritis,with a time limit until August 2024.The quality of the included randomized controlled trials was assessed using the Cochrane5.4 manual.The quality of retrospective cohort studies were evaluated via the Newcastle-Ottawa Scale(NOS).Bayesian network meta-analysis was performed using R4.1.1 software.RESULTS:A total of 13 studies were included,with a total sample size of 891 cases,and 4 immunosorbent columns were included.The results of the network meta-analysis showed that the top three orders that reduce C-reactive protein level:HA280 adsorption column+conventional Western medicine＞PH-350 adsorption column+conventional Western medicine＞A protein adsorption column;the top three orders that reduce erythrocyte sedimentation rates:leukocyte adsorption column＞HA280 adsorption column+conventional Western medicine＞PH-350 adsorption column+conventional western medicine;the top three orders that reduce swollen joint count:leukocyte adsorption column＞A protein adsorption column+conventional western medicine＞PH-350 type adsorption column+conventional Western medicine;the top three orders that reduce tenderness joint counts:leukocyte adsorption column＞A protein adsorption column+conventional western medicine＞PH-350 adsorption column+conventional Western medicine;the top three orders that reduce patients' disease activity evaluation:PH-350 adsorption column+conventional western medicine＞leukocyte adsorption column＞A protein adsorption column;the top three orders that reduce visual analogue scale scores:PH-350 adsorption column+conventional Western medicine＞A protein adsorption column＞leukocyte adsorption column;the top three orders that reduce physician's disease activity assessment:PH-350 adsorption column+conventional Western medicine＞leukocyte adsorption column＞conventional Western medicine.CONCLUSION:Based on the 13 articles,in terms of reducing C-reactive protein level,HA280 adsorption column and conventional Western medicine are the preferred choice.In terms of reducing erythrocyte sedimentation rate,swollen joint count,and tender joint count,leukocyte adsorption column is the preferred choice.In terms of reducing patient's disease activity evaluation,physician's disease activity evaluation and visual analogue scale scores,PH-350 adsorption column and conventional Western medicine are the first choice.Different immunosorbent columns can be reasonably and accurately selected according to the patient's specific conditions.

Background: The tight junction protein claudin18.2 (CLDN18.2) has been implicated in poor prognosis and suboptimal immunotherapy response in gastric cancer (GC). This study investigates the clinicopathological relevance of CLDN18.2 expression and its association with molecular subtypes in GC patients from a high-incidence region, combining transcriptomic and proteomic approaches to explore how CLDN18.2 contributes to progression and metastasis. Methods: A retrospective cohort of 494 GC patients (2019–2024) underwent immunohistochemical analysis for CLDN18.2, Epstein-Barr virus (Epstein–Barr virus–encoded RNA), p53, human epidermal growth factor receptor 2 (HER2), and mismatch repair proteins (MLH1, MSH2, PMS2, and MSH6). CLDN18.2 positivity was defined as moderate to strong (2+/3+) membranous staining in ≥75% of tumor cells. Clinicopathological correlations, biomarker associations, and survival outcomes were evaluated. Transcriptomic and proteomic sequencing was performed to explore molecular mechanisms. Results: CLDN18.2 positivity was observed in 26.9% (133/494) of gastric adenocarcinomas. CLDN18.2-positive tumors correlated with TNM stage (p = .003) and shorter overall survival (p = .018). No associations were identified with age, sex, HER2 status, microsatellite instability, or Epstein-Barr virus infection. Transcriptomic profiling revealed CLDN18.2-high tumors enriched in pathways involving cell junction disruption, signaling regulation, and immune modulation. Proteomic profiling showed that tumors with high CLDN18.2 were enriched in multiple mechanism-related pathways such as integrated metabolic reprogramming, cytoskeletal recombination, immune microenvironment dysregulation, and pro-survival signaling. These mechanisms may collectively contribute to tumor progression and metastasis. Conclusions CLDN18.2 overexpression is associated with poor prognosis in GC patients. Transcriptomic and proteomic analyses demonstrate that CLDN18.2 promotes tumor progression and metastasis, underscoring its potential as an independent prognostic factor in regions with a high incidence of GC.

Purpose: The role of the Clinical Treatment Score post-5 years (CTS5) in male breast cancer (MBC) remains unclear. This study aimed to investigate the characteristics and prognosis of CTS5 between MBC and female breast cancer (FBC). Materials and Methods: Patients diagnosed with human epidermal growth factor receptor 2–negative/estrogen receptor–positive breast cancer between 2010 and 2015 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. The chi-square test, Kaplan-Meier analysis, and multivariate Cox proportional hazard model were used for statistical analysis. Results: This study included 169,869 patients, comprising 168,422 (99.1%) FBC and 1,447 (0.9%) MBC patients. More MBC patients had intermediate risk (IR)/high risk (HR) disease compared to FBC patients (17.7% vs. 8.7%, p < 0.001). MBC patients had an inferior overall survival (OS) but similar breast cancer-specific survival compared to those with FBC. Sensitivity analyses showed that sex was an independent prognostic factor associated with OS but not breast cancer-specific survival (BCSS) in both the low-risk (LR) and IR/HR cohorts. Those with MBC exhibited significantly worse OS (p < 0.001) than FBC patients in both cohorts. In MBC patients, those with IR/HR disease had significantly worse OS (p < 0.001) and BCSS (p < 0.001) compared to those with LR disease. For FBC patients, the IR/HR group had also significantly worse OS (p < 0.001) and BCSS (p < 0.001) compared to the LR group. Conclusion Our findings highlight critical differences in clinical characteristics, treatment patterns, and outcomes between MBC and FBC, suggesting the need for sex-tailored approaches in breast cancer management.

Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

Objective To develop a predictive model of acute hematologic toxicity (HT) based on preradiotherapy CT radiomic features combined with clinical and dosimetric characteristics for patients with cervical cancer undergoing definitive radiotherapy. Methods Data from 82 patients with cervical cancer who received definitive radiotherapy were retrospectively analyzed. The patients were divided into training and test sets at an 8:2 ratio, with grade ≥2 HT as the study endpoint. Clinical characteristics and dosimetric parameters of pelvic regions were collected, and 1 046 radiomic features were extracted from the overall pelvic structure using PyRadiomics. Radiomic features were processed using Z-score normalization, Spearman correlation analysis (>0.9), and LASSO regression for feature selection. A radiomics model was constructed using K-nearest neighbor machine learning with fivefold cross-validation. For 56 clinical and dosimetric features, independent predictors were identified through univariate and multivariate analyses to establish a clinical-dose model. A hybrid model was further constructed by combining the two sets of features. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), decision curve analysis, and calibration curves. Results Forty patients (48.8%) developed grade ≥2 HT. Univariate and multivariate analyses showed that V20 of the lumbosacral spine was significantly associated with grade ≥2 HT (P<0.05). The AUC values for the radiomics, clinical-dose, and hybrid models were 0.802, 0.750, and 0.861 in the training set, respectively, and 0.703, 0.633, and 0.781 in the test set, respectively. Conclusion Preradiotherapy CT radiomic features combined with dosimetric characteristics can predict the occurrence of acute hematologic toxicity in patients with cervical cancer, potentially facilitating early clinical intervention.

BACKGROUND:Knee osteoarthritis(KOA)is a common chronic inflammatory disease that causes damage to joint cartilage and surrounding tissues.Immune cells play an important role in the immune-inflammatory response in knee osteoarthritis,but the specific mechanisms involved are still not fully understood. OBJECTIVE:To evaluate the potential causal relationship between 731 immune cell phenotypes and the risk of knee osteoarthritis using Mendelian randomization. METHODS:Summary statistics of genome-wide association studies(GWAS)for 731 immune cell phenotypes(from GCST0001391 to GCST0002121)obtained from the GWAS catalog and GWAS data for knee osteoarthritis from the IEUGWAS database(ebi-a-GCST007090)were used.Inverse variance-weighted method,MR-Egger regression,weighted median method,weighted mode method,and simple mode method were employed to investigate the causal relationship between immune cells and knee osteoarthritis.Sensitivity analyses were conducted to assess the reliability of the Mendelian randomization results.Reverse Mendelian randomization analysis was also performed using the same methods. RESULTS AND CONCLUSION:The forward MR analysis indicated significant causal relationships(FDR<0.20)between knee osteoarthritis and four immune cell phenotypes,namely CD27 on CD24+CD27+in B cells(OR=1.026,P=0.000 26,Pfdr=0.18),CD33 on CD33dim HLA DR-in myeloid cells(OR=1.014,P=0.000 50,Pfdr=0.18),and CD45RA+CD28-CD8br%CD8br in Treg cells(OR=1.001,P=0.000 78,Pfdr=0.18),and PDL-1 on monocytes in mononuclear cells(OR=0.952,P=0.000 98,Pfdr=0.18).These immune cell phenotypes showed direct positive or negative causal associations with the risk of knee osteoarthritis.Reverse Mendelian randomization analysis revealed no significant causal relationships(FDR<0.20)between knee osteoarthritis as exposure and any of the 731 immune cell phenotypes.The results of sensitivity analysis show that the P-values of the Cochran's Q test and the MR-Egger regression method for bidirectional Mendelian randomization were both greater than 0.05,indicating that there is no significant heterogeneity and pleiotropy in the causal effect analysis between immune cell phenotypes and knee osteoarthritis.To conclude,there may be four potential causal relationships between immune cell phenotypes,such as CD27 on CD24+CD27+cells,CD33 on CD33dim HLA DR-cells,CD45RA+CD28-CD8br%CD8br cells,and PDL-1 on monocytes,and knee osteoarthritis.These findings provide valuable clues for studying the biological mechanisms of knee osteoarthritis and exploring early prevention and treatment strategies.They also offer new directions for the development of intervention drugs.

Objective : To observe the brain tissue injury during hypoxia-ischemia, as well as the pathological changes and the expression of ferroptosis-related factors after the use of Shenfu injection(SFI), and to explore the protective effect of SFI on hypoxic-ischemic brain injury(HIBD) by inhibiting ferroptosis. Methods : An animal model of HIBD in SD rats was constructed and intervened with SFI. Pathologic changes in brain tissue were observed by HE staining methods. Nissen staining was used to observe neuron survival. Glutathione Peroxidase 4(GPX4) and Divalent Metal Transporter 1(DMT1) expression were detected in brain tissue by Western blot, immunohistochemistry and immunofluorescence. Reduced Glutathione(GSH), Lactate Dehydrogenase(LDH), Malondialdehyde(MDA), Superoxide Dismutase(SOD) and tissue iron content were determined with the kits. BV-2 microglial cell line(BV2) cells were culturedin vitroand divided into control group(Ctrl group), oxygen-glucose deprivation group(OGD group), iron ferroptosis-inducing group(Erastin group), iron ferroptosis-inhibiting group(Fer-1 group), Shenfu injection group(SFI group), and Erastin+Shenfu injection group(Erastin+SFI group). 2′,7′-Dichlorodihydrofluorescein diacetate(DCFH-DA) reactive oxygen species(ROS) fluorescent probe was used to detect the ROS release level; Immunofluorescence was used to observe intracellular GPX4, DMT1 expression. Results : Compared with the Sham group, rats in the HIBD group showed significant neuronal cell damage in brain tissue, decreased GPX4 expression(P<0.01), increased DMT1 expression(P<0.01), decreased GSH and SOD levels(P<0.01), and increased LDH, MDA and tissue iron levels(P<0.05,P<0.05,P<0.01). In contrast, after the intervention of SFI, GPX4 expression was elevated(P<0.01), DMT1 expression decreased(P<0.01), GSH and SOD levels were elevated(P<0.01), and LDH, MDA, and tissue iron levels decreased(P<0.05,P<0.05,P<0.01). The cells experiments showed that compared with the Ctrl group, the OGD group had a significantly higher ROS content and a decrease in the expression of GPX4 fluorescence intensity, and an increase in the fluorescence intensity of DMT1(P<0.01), compared with the OGD group, the ROS content was reduced in the SFI group, while the expression of GPX4 was elevated and the expression of DMT1 was reduced(P<0.01). Conclusion Hippocampal and cortical regions are severely damaged after HIBD in neonatal rats, and their brain tissues show decreased expression of GPX4 and increased expression of DMT1. The above suggests that ferroptosis is involved in HIBD brain injury in neonatal rats. In contrast, Shenfu injection has a protective effect on HIBD experimental animal model and BV2 cell injury model by reducing iron aggregation and ROS production.