Natural arabinogalactan， an important polysaccharide， has a wide range of sources， a complex structure， various biological activities， and great application potential. Natural arabinogalactan is mainly rich in plants and microorganisms， and its structure varies due to different sources， including types Ⅰ， type Ⅱ， type Ⅱ-related types， and new configurations. Natural arabinogalactan has shown a variety of biological activities， such as anti-tumor， anti-oxidation， anti-coagulation， anti-aging， blood glucose-lowering， intestinal health-maintaining， anti-inflammatory， and immunomodulatory activities. In addition， natural arabinogalactan shows good biocompatibility and low toxicity， serving as a potential material in the biomedical field. Natural arabinogalactan has been designed as a carrier in the drug delivery system to effectively improve drug stability and targeting. Natural arabinogalactan is often added to skin care products to help delay skin aging and enhance skin barrier function because of their moisturizing and antioxidant properties. Additionally， natural arabinogalactan acts as a thickener， stabilizer， and emulsifier to improve the texture and taste while enhancing the nutritional value of food products. The review of latest research reports is helpful to further understand the relationship between the structure， biological activity， and functional application of natural arabinogalactan and provides an important reference for future research and development.

ObjectiveThis study aims to identify cuproptosis-related gene biomarkers in Alzheimer's disease（AD） using bioinformatics and machine learning methods， validate them at the clinical specimen level， and predict potential traditional Chinese medicine（TCM）. MethodsDifferentially expressed genes in the AD group and normal group were obtained using the Gene Expression Omnibus （GEO） database， and intersections were taken with reported cuproptosis-related genes to obtain differentially expressed cuproptosis-related genes. Machine learning methods were applied to identify core differential genes of cuproptosis in AD. Peripheral blood's single nucleated cells from clinical AD patients were collected， and the relative gene expression was clinically verified by real-time polymerase chain reaction（Real-time PCR）. Potential TCM regulating cuproptosis for AD were predicted by COREMINE database. ResultsA total of 12 cuproptosis-related genes were obtained， mainly involved in pathways of tricarboxylic acid cycle， 2-oxocarboxylic acid metabolism， and carbon metabolism. Five core cuproptosis-related genes， dihydrolipoamide dehydrogenase （DLD）， glutaminase （GLS）， pyruvate dehydrogenase E1 subunit beta （PDHB）， full name nuclear factor （erythroid-derived 2）-related factor 2 （NFE2L2）， and dihydrolipoamide branched-chain transacylase E2 （DBT） were finally screened using four machine methods. Thirty cases each of normal and AD patients were collected clinically. Compared with those in the normal group， minimum mental state examination （MMSE） and Montreal cognitive assessment （MoCA） were significantly decreased in the AD group （P<0.01）， Homocysteine（Hcy）， interleukin（IL）-6， C-reactive protein（CRP） ， and β amyloid protein（Aβ） indexes were significantly increased （P<0.01）， and malondialdehyde（MDA） indexes were decreased （P<0.05）. Superoxide dismutase（SOD） levels were significantly decreased （P<0.01）. The mRNA relative expressions of NFE2L2 and DBT were up-regulated （P<0.05）， and those of DLD， GLS， and PDHB were significantly down-regulated （P<0.01）. The TCM regulating cuproptosis-related genes for the treatment of AD were mainly based on the four Qi such as warmth， calmness， and cold， and the five flavors including bitterness， sweetness， and pungency， and it was attributed to the meridians of the liver， spleen， stomach， and kidney， with the efficacy of tonifying Qi， activating blood， eliminating phlegm， and resoling dampness. ConclusionDLD， GLS， NFE2L2， PDHB， and DBT can be used as novel diagnostic molecular markers for AD cuproptosis-related genes， and the corresponding potential therapeutic TCM can provide new ideas for the treatment of AD by TCM.

OBJECTIVES: To explore the mechanism of Gandou Fumu Decoction (GDFMD) for improving Wilson's disease (WD) in tx-J mice. METHODS: With 6 syngeneic wild-type mice as the control group, 30 tx-J mice were randomized into WD model group, low-, medium- and high-dose GDFMD treatment groups, and Fer-1 treatment group. Saline (in control and model groups) and GDFMD (3.48, 6.96 or 13.92 g/kg) were administered by gavage, and Fer-1 was injected intraperitoneally once daily for 14 days. Oil red and HE staining were used to observe lipid deposition and pathological conditions in the liver tissue; ALT, AST, albumin, AKP levels were determined to assess liver function of the mice. Western blotting and RT-qPCR were used to detect hepatic protein and mRNA expressions of GPX4, ACSL4, ALOX15, FTH1, FLT, TFR1, FAS, SCD1, and ACOX1, and Fe²⁺, MDA, ROS, SOD, GSH and 4-HNE levels were analyzed to assess oxidative stress. RESULTS: The mouse models of WD showed obvious fatty degeneration in the liver tissue significantly increased serum levels of ALT, AST and AKP, decreased albumin level, increased Fe²⁺, MDA, ROS, 4-HNE levels, decreased SOD and GSH levels (P<0.05), lowered protein expressions of ACOX1, GPX4, FTH1, FLT, FAS, and SCD1, and increased protein contents of TFR1, ACSL4 and ALOX15 in the liver. Treatment with GDFMD and Fer-1 improved liver histopathology and liver function of the mouse models, decreased the levels of Fe²⁺, MDA and ROS, increased SOD and GSH levels, and reversed the changes in hepatic protein expressions. CONCLUSIONS GDFMD improves liver steatosis in mouse models of WD possibly by inhibiting hepatocyte ferroptosis through the GPX4/ACSL4/ALOX15 signaling pathway.
Animals ; Ferroptosis/drug effects* ; Mice ; Signal Transduction/drug effects* ; Drugs, Chinese Herbal/therapeutic use* ; Hepatolenticular Degeneration/drug therapy* ; Hepatocytes/metabolism* ; Phospholipid Hydroperoxide Glutathione Peroxidase ; Fatty Liver/metabolism* ; Arachidonate 15-Lipoxygenase/metabolism* ; Coenzyme A Ligases/metabolism* ; Liver/metabolism* ; Male

Objective To assess the causality between 14 malignant tumors and hypertension.Methods Publicly available datasets from genome-wide association study were used,from which independent genetic variants strongly associated with hypertension and 14 malignant tumors were extracted as instrumental variables for bidirectional Mendelian randomization(MR)analysis,including random effect inverse variance weighted(IVW),simple mode,weighted median,weighted mode and MR-Egger to evaluate the causal effect.Sensitivity analysis was used to test the validity and robustness of the analytical results,and multivariate MR method was used to further control for the effects of confounding factors.Results In the MR analysis of malignant melanoma and hypertension,the study included a total of 11 single nucleotide polymorphisms(SNPs)strongly associated with malignant melanoma.After Bonferroni correction,the IVW-based results showed a causal relationship between malignant melanoma and hypertension(OR=1.67,95％CI:1.27-2.21,P＜0.001).Cochran's Q test,Mendelian randomization pleiotropy residual sum and outlier test and MR-Egger intercept test showed that there were no outliers and no horizontal pleiotropy among the instrumental variables,and the sensitivity analysis of the leave-one-out method showed that there was no single SNP that had a significant impact on the overall results.In the analysis of hypertension and leukemia,the preliminary analysis results showed that there may be a relationship between the two,but after adjusting for confounders,the effect of hypertension on the risk of leukemia was no longer significant.Conclusion Malignant melanoma may be a risk factor in the development of hypertension.

Objective To compare image quality of 5.0T and 3.0T non-contrast MRI for displaying insulinoma.Methods Twelve patients with insulinoma were prospectively enrolled,and non-contrast abdominal T1WI,T2WI as well as diffusion-weighted imaging(DWI)were acquired using 5.0T and 3.0T MR scanners,respectively.The subjective scores of image quality of each sequence of 5.0T and 3.0T MRI,also of tumor-pancreas parenchyma contrast scores were compared.The signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of insulinomas were observed,and the displayed rate of insulinoma by each sequence and overall MRI were compared.Results The subjective scores of 5.0T T1WI and DWI were higher than those of 3.0T T1WI and DWI(both P＜0.05),but not significantly different between 5.0T and 3.0T T2WI(P=0.166).Furthermore,the tumor-pancreas parenchyma contrast score of 5.0T T1WI was higher than that of 3.0T T1WI(P=0.023),but not significantly different between 5.0T and 3.0T T2WI,nor between 5.0T and 3.0T DWI(both P＞0.05).SNR of insulinomas on 5.0T T2WI were higher than on 3.0T T2WI(P=0.015),however,no significant difference of SNR was found between 5.0T and 3.0T T1WI,nor between 5.0T and 3.0T DWI(both P＞0.05).CNR of insulinomas on all 5.0T MRI were not significantly different with those on 3.0T MRI(all P＞0.05).The displayed rate of insulinoma on 5.0T T1WI,T2WI and DWI was 100％(12/12),66.67％(8/12)and 83.33％(10/12),respectively,on 3.0TT1WI,T2WI and DWI was 75.00％(9/12),58.33％(7/12),66.67％(8/12),respectively.The overall displayed rate of insulinoma on 5.0T and 3.0T MRI was 100％(12/12)and 83.33％(10/12),respectively.Conclusion Compared with 3.0T MRI,5.0T MRI was superior for displaying insulinoma,hence being helpful for diagnosis.

Objective:To investigate the efficacy of staged treatment of infectious femoral defects of Cierny-Mader type Ⅳ using bone transport combined with locking plating after En-Bloc resection debridement.Methods:A retrospective analysis was conducted of the 10 patients with distal femoral traumatic bone infection who had been treated at Department of Orthopedics, The People's Hospital of Weifang from January 2020 to January 2023. There were 8 males and 2 females with an age of (48.5±11.4) years. All cases were classified as Cierny-Mader type Ⅳ. At the first stage, En-Bloc resection debridement was performed in all cases to remove previous internal fixation devices and fill the defects with antibiotic bone cement. After infection control, the second stage involved removal of bone cement, re-fixation with internal devices, and external fixation support for bone transport. After the bone segments met, freshening of the bone ends, minor bone grafting, and screw locking of the transported bone segments were performed. Outcomes observed included bone defect length, frame carrying time and index, bone healing time, limb function, and complications.Results:After the first stage of debridement, a bone defect of (9.1±2.1) cm was created in 10 patients. All patients were followed up for (19.8±6.6) months. The duration for carrying external fixation frame was (107.2±25.1) days, and the frame index (11.8±0.5) d/cm. No recurrence was observed postoperatively. Bone union was achieved in 9 patients within 8 months, but in 1 patient only after secondary bone grafting due to poor healing at the meeting ends. All patients returned to their previous life or physical labor with no complications like pain or re-fracture. Three patients experienced varying degrees of knee joint stiffness, but were able to meet needs of daily life; one requested joint release surgery which resulted in satisfactory therapeutic efficacy.Conclusion:Staged treatment of infectious femoral defects of Cierny-Mader type Ⅳ using bone transport combined with locking plating after En-Bloc resection debridement is simple and effective.

Objective:To compare clinical characteristics,treatment patterns and physiological indicators in bipolar disorder(BD)patients with different age of onset.Methods:Totally 380 patients with DSM-5 BD were se-lected in this study.Psychiatrists diagnosed the patients using the Mini International Neuropsychiatric Interview.The clinical information questionnaire and the Global Assessment of Functioning scale were utilized to collected clinical characteristics,treatment status,and physiological indicators.The onset age of BD was divided into 21 and 35 years as cut-off points.Multivariate logistic regression and linear regression were used to analyze related factors.Results:Among the 380 patients with BD,199 cases were early-onset group(52.4％),121 cases were middle-onset group(31.8％),and 60 cases were late-onset group(15.8％).There were 26.6％of patients in the early-onset group in-itially diagnosed as depression,23.1％in the middle-onset group,and 11.7％in the late-onset group.Multivariate analysis revealed that compared to the early-onset group of BD,the middle-onset(OR=2.22)and late-onset(OR=4.99)groups had more risk to experience depressive episodes,and the late-onset group(OR=6.74)had 6.74 times of risk to suffer from bipolar Ⅱ disorder.Additionally,patients in the middle-onset(β=-1.52)and late-on-set(β=-4.29)groups had shorter durations of delayed treatment,and those in the middle-onset(β=-1.62)and late-onset(β=-3.14)groups had fewer hospitalizations.Uric acid levels were lower in both the middle-onset(β=-28.39)and late-onset(β=-31.47)groups,and total cholesterol level was lower in the middle-onset group(β=-0.23).Conclusion:Patients with BD in different age of onset show significant differences in clinical charac-teristics,treatment conditions and physiological indicators.

OBJECTIVE To construct a risk prediction model for non-compliance with inhaled medication in patients with chronic obstructive pulmonary disease （COPD）. METHODS A retrospective analysis was conducted on 365 COPD patients admitted to the cough and wheeze pharmaceutical care clinic of the First Hospital of Qinhuangdao from October 2021 to October 2023. The patients admitted from October 2021 to June 2023 were selected as the model group （n＝303）， and the patients admitted from July to October 2023 were selected as the validation group （n＝62）. The model group was divided into compliance subgroup （n＝126） and non-compliance subgroup （n＝177）. Univariate analysis combined with multivariate Logistic regression analysis were used to analyze the risk factors for non-compliance with inhaled formulations in patients； the risk prediction model was established through regression analysis， and the accuracy of the model prediction was evaluated based on the validation group of patients. RESULTS Multivariate Logistic regression analysis showed that simultaneous use of 2 inhaled formulations （OR＝3.730， 95%CI 1.996-6.971， P＜0.001）， the number of acute exacerbations within one year ≥2 （OR＝2.509， 95%CI 1.509-4.173， P＜0.001）， smoking （OR＝2.167， 95%CI 1.309-3.588， P＝0.003）， complicated with anxiety/depression （OR＝2.112， 95%CI 1.257-3.499， P＝0.004） and mMRC grading≥2 levels （OR＝1.701， 95%CI 1.014-2.853， P＝0.044） were risk factors for non-compliance with inhaled preparations. Based on this， a risk prediction model was established and the ROC curve was drawn. The areas under the curve of the model group and validation group were 0.836 and 0.928， and the overall accuracy of the model’s prediction was 88.71%. CONCLUSIONS The predictive model based on the simultaneous use of 2 inhaled formulations， the number of acute exacerbations within one year ≥2， smoking， complicated with anxiety/depression， mMRC grading ≥2 levels has certain predictive value for the risk of non-compliance with inhaled formulations for COPD patients.

OBJECTIVE To construct a risk prediction model for non-compliance with inhaled medication in patients with chronic obstructive pulmonary disease （COPD）. METHODS A retrospective analysis was conducted on 365 COPD patients admitted to the cough and wheeze pharmaceutical care clinic of the First Hospital of Qinhuangdao from October 2021 to October 2023. The patients admitted from October 2021 to June 2023 were selected as the model group （n＝303）， and the patients admitted from July to October 2023 were selected as the validation group （n＝62）. The model group was divided into compliance subgroup （n＝126） and non-compliance subgroup （n＝177）. Univariate analysis combined with multivariate Logistic regression analysis were used to analyze the risk factors for non-compliance with inhaled formulations in patients； the risk prediction model was established through regression analysis， and the accuracy of the model prediction was evaluated based on the validation group of patients. RESULTS Multivariate Logistic regression analysis showed that simultaneous use of 2 inhaled formulations （OR＝3.730， 95%CI 1.996-6.971， P＜0.001）， the number of acute exacerbations within one year ≥2 （OR＝2.509， 95%CI 1.509-4.173， P＜0.001）， smoking （OR＝2.167， 95%CI 1.309-3.588， P＝0.003）， complicated with anxiety/depression （OR＝2.112， 95%CI 1.257-3.499， P＝0.004） and mMRC grading≥2 levels （OR＝1.701， 95%CI 1.014-2.853， P＝0.044） were risk factors for non-compliance with inhaled preparations. Based on this， a risk prediction model was established and the ROC curve was drawn. The areas under the curve of the model group and validation group were 0.836 and 0.928， and the overall accuracy of the model’s prediction was 88.71%. CONCLUSIONS The predictive model based on the simultaneous use of 2 inhaled formulations， the number of acute exacerbations within one year ≥2， smoking， complicated with anxiety/depression， mMRC grading ≥2 levels has certain predictive value for the risk of non-compliance with inhaled formulations for COPD patients.