The chemical composition of Paeoniae Radix Alba(PRA) is complex, with primary secondary metabolites including monoterpenoids, tannins, triterpenoids, and flavonoids. In previous studies on the material basis of PRA, it was found that, in addition to the widely studied characteristic monoterpene glycosides, tannic acid components also play an important role in the efficacy of PRA. However, their pharmacological effects have not been thoroughly investigated. This paper reviews the tannic acid components in PRA, including pentagaloyl glucose(PGG), tetragaloyl glucose(TGG), trigaloyl glucose(TriGG), and gallic acid, along with their structures, properties, and characteristics to provide a detailed discussion of their pharmacological activities and related mechanisms, aiming to offer a theoretical basis for the material basis research and clinical application of PRA.
Paeonia/chemistry* ; Tannins/chemistry* ; Humans ; Drugs, Chinese Herbal/chemistry* ; Animals ; Plant Extracts

The translation of genetic findings from genome-wide association studies into actionable therapeutics persists as a critical challenge in Alzheimer's disease (AD) research. Here, we present PI4AD, a computational medicine framework that integrates multi-omics data, systems biology, and artificial neural networks for therapeutic discovery. This framework leverages multi-omic and network evidence to deliver three core functionalities: clinical target prioritisation; self-organising prioritisation map construction, distinguishing AD-specific targets from those linked to neuropsychiatric disorders; and pathway crosstalk-informed therapeutic discovery. PI4AD successfully recovers clinically validated targets like APP and ESR1, confirming its prioritisation efficacy. Its artificial neural network component identifies disease-specific molecular signatures, while pathway crosstalk analysis reveals critical nodal genes (e.g., HRAS and MAPK1), drug repurposing candidates, and clinically relevant network modules. By validating targets, elucidating disease-specific therapeutic potentials, and exploring crosstalk mechanisms, PI4AD bridges genetic insights with pathway-level biology, establishing a systems genetics foundation for rational therapeutic development. Importantly, its emphasis on Ras-centred pathways-implicated in synaptic dysfunction and neuroinflammation-provides a strategy to disrupt AD progression, complementing conventional amyloid/tau-focused paradigms, with the future potential to redefine treatment strategies in conjunction with mRNA therapeutics and thereby advance translational medicine in neurodegeneration.

Objective To explore the effect of playing moderate-intensity table tennis and badminton on myo-pia prevention among children between 7 and 9 years old,so as to provide related theoretical basis.Methods A total of 536 myopic children were initially screened from two schools in Guangzhou via questionnaires and in-terviews.Among them,36 children(7-9 years old)were selected and randomly divided into a control group,a table tennis group and a badminton group,each of 12.All groups underwent 1.5-hour training three times a week for six months,covering training on dynamic visual acuity,sports vision and attention training and the ex-ercise intensity was adjusted according the heart rate,rating of perceived exertion(RPE)and blood oxygen lev-els.Moreover,the equivalent spherical degree(SED),ocular biology,and accommodative parameters were mea-sured before and after the intervention.Results After intervention,the left eye SEDs of the control and badmin-ton groups were lower than before intervention(P<0.05).Moreover,the axial length(AL)in the left and right eyes and the axial length/corneal radius of curvature(AL/CR)of all 3 groups after intervention were significant-ly higher than before that(P<0.05).The table tennis group showed significant improvement in accommodative fa-cility(AF)in both eyes(P<0.05),while the badminton group demonstrated significant increases in AF of both eyes,amplitude of accommodation(AMP)in the right eye,but a significant decrease in the positive relative adjustment(PRA)(P<0.05).Moreover,after intervention,SE and AF of both eyes in the table tennis group was significantly higher,with lower AL and AL/CR ratios in the left eye compared to the control group(P<0.05).The badminton group exhibited greater AMP in the right eye and AF improvements in both eyes com-pared to the control and table tennis groups(P<0.05),but lower PRA(P<0.05).Moreover,the left-eye SE of the badminton group was higher than the control group(P<0.05),while the right-eye corneal curvature and the left-eye AL/CR were lower than the latter(P<0.05).Meanwhile,after the intervention,the left-eye AL and PRA of the badminton group were significantly lower than the table tennis group(P<0.05).Conclusion Pupils can effectively increase their reserve of eye adjustment,improve the adjustment function of the eye,and delay the development of myopia by playing table tennis and badminton with moderate intensity.Playing table tennis excels in delaying refractive power changes,while doing badminton significantly improves PRA,AMP,and AF.

Objective The mechanism of Huazhuo xingxue decoction(HZXXD)in the treatment of ischemic stroke was explored through network pharmacology,molecular docking and cell validation.Methods TCMSP,TCMID,BATMAN-TCM database and literature search were used to get the chemical components and related target proteins of Huazhuo Xingxue Decoction,and the targets of dementia,stroke and amnesia were obtained from Genecards database and OMIM database.The traditional Chinese medicine-active components-target-network and protein interaction map were constructed by using Cytoscape,and the target was enriched by KEGG pathway by David database.Western blot was used to investigate the effect of HZXXD on inflammation-related core targets expression using oxygen and glucose deprivation/reoxygenation cell model.Finally,Autodock was used for molecular docking of key active ingredients and important targets to evaluate their binding activity.Results 76 active molecules and 33 common targets of herb-disease were screened out.KEGG bioaccumulation results involve multiple inflammatory signal pathways such as TNF,chemical carcinogenesis-reactive oxygen species and HIF-1.TNF-α was found to be the core target of HZXXD by oxygen glucose deprivation/reoxygenation cell experiments.Five compounds with the strongest binding ability to TNF-α,kaempferol,apigenin,aloe-emodin,baicalein and stigasterol,were screened by traditional Chinese medicine-active ingredient-target network map and molecular docking.Conclusion Huazhuo Xingxue Decoction may down regulate the expression of core target TNF-α,kaempferol,apigenin,aloe emodin,baicalein and stigasterol may be the main active substances for TNF-α binding.

Objective:To develop and validate machine learning-based radiomics models using preoperative CT images for individualized prediction of mitotic index (MI) in patients with gastrointestinal stromal tumors (GIST).Methods:The study was a case-control study. The data of 348 GIST patients confirmed by pathology were retrospectively collected from two independent medical centers: the Affiliated Hospital of Qingdao University (center 1) and Shandong Provincial Hospital Affiliated to Shandong First Medical University (center 2), covering the period from January 2013 to June 2018. Patients from center 1 were divided into a training cohort (176 cases) and an internal validation cohort (75 cases) at a ratio of 7∶3 using random sampling. Patients from center 2 served as an independent external validation cohort (97 cases). The primary endpoint was MI, categorized into high MI (145 cases) and low MI (203 cases) groups. Radiomic features were extracted from the portal venous phase images of preoperative contrast-enhanced CT scans. Five machine learning algorithms, including logistic regression, support vector machine, random forest, decision tree, and extreme gradient boosting (XGBoost),were employed to construct MI prediction models. The optimal model was identified using receiver operating characteristic curves. An individualized prediction model was developed by integrating the the optimal machine learning model combined with selected independent clinical factors, and the importance of features was visualized using Shapley Additive Explanation (SHAP) analysis. Patients were followed up, and Kaplan-Meier curves along with log-rank tests were used to evaluate recurrence-free survival (RFS) differences between the predicted high MI and low MI groups.Results:Among the five constructed machine learning models, the XGBoost model demonstrated the best predictive performance, with area under the curve (AUC) of 0.809 (95% CI 0.738-0.872), 0.693 (95% CI 0.571-0.809), and 0.718 (95% CI 0.605-0.822) in the training cohort, internal validation cohort, and external validation cohort, respectively. An individualized prediction model combining the XGBoost model with independent clinical factors (tumor location and tumor size) was developed. The model achieved AUC of 0.843 (95% CI 0.785-0.899), 0.791 (95% CI 0.680-0.894), and 0.777 (95% CI 0.678-0.861) in the training cohort, internal validation cohort, and external validation cohort, respectively. SHAP analysis indicated that radiomic features had the highest predictive impact. In both the training cohort and internal validation cohort, the RFS of patients predicted to be in the high MI group was lower than that of the low MI group, with statistically significant differences ( χ2=14.58, 9.52, both P<0.001). However, there was no statistically significant difference in RFS in the external validation set ( χ2=6.18, P=0.080). Conclusions:The optimal XGBoost model based on radiomic features extracted from preoperative portal venous phase CT images, when combined with clinical factors, can effectively predict the MI of GIST patients.

Objective:To explore the correlation between serum carbohydrate antigen 72-4 (CA72-4) level and pathological differentiation degree of gastric cancer, and to provide reference for early diagnosis, prognosis evaluation and efficacy monitoring of gastric cancer.Methods:A retrospective study was conducted on 136 patients with gastric cancer admitted to Zhejiang Provincial People′s Hospital from April 2022 to December 2024. According to postoperative pathological diagnosis, patients were divided into well-differentiated group ( n=9), moderately differentiated group ( n=36) and poorly/undifferentiated group ( n=91). Preoperative CA72-4 levels and clinical characteristics of patients were collected to analyze the relationship between differentiation degree and CA72-4 level, and to compare the changes of CA72-4 before and after surgery in gastric cancer patients with different differentiation degrees. Results:The preoperative CA72-4 level in the poorly/undifferentiated group was significantly higher than that in the well-differentiated group and moderately differentiated group (all P<0.001). Preoperative CA72-4 level in gastric cancer patients was weakly negatively correlated with differentiation degree ( R=-0.341). After surgery, the CA72-4 level in the poorly/undifferentiated group decreased significantly compared with that before surgery ( P=0.043), while the changes in the well-differentiated group and moderately differentiated group were not significant. Conclusions:There are significant differences in CA72-4 levels among gastric cancer groups with different differentiation degrees. Preoperative CA72-4, as a tumor marker, is of great significance for early diagnosis, prognosis evaluation and postoperative monitoring of gastric cancer. Especially in patients with poorly/undifferentiated gastric cancer, the CA72-4 level is relatively high, which can be used for auxiliary diagnosis and formulation of treatment plans.

AIM:To explore whether microRNA-30a-3p(miR-30a-3p)is involved in the pathogenesis of non-alcoholic fatty liver disease(NAFLD)by regulating autophagy and promoting lipid deposition.METHODS:Eight-week-old C57BL/6 mice were randomly divided into a normal control group and a high-fat diet(HFD)group.Mice in the HFD group were fed with 60％high fat diet for 10 weeks to induce the NAFLD phenotype.Some mice were injected with adeno-virus overexpressing miR-30a-3p via the tail vein and subsequently fed with high-fat diet for 4 weeks.Glucose tolerance and insulin resistance tests were performed at the end of the treatments.In addition,the concentrations of hepatic alanine aminotransferase(ALT),aspartate aminotransferase(AST),triglyceride(TG)and total cholesterol(TC)were mea-sured.Hematoxylin-eosin staining and oil red O staining were conducted to examine morphological changes and lipid depo-sition in the liver tissue.The expression levels of microtubule-associated protein light chain 3(LC3),autophagy-related protein 5(ATG5),beclin-1 and p62 were quantified through Western blot.In addition,NAFLD models were established in AML12 hepatocytes by incubating the cells with palmitic acid and oleic acid(PO).The AML12 cells were transfected with miR-30a-3p shRNA to knock down miR-30a-3p expression.The concentration levels of TG and TC after miR-30a-3p knockdown were measured by the kits.Nile red staining was performed to examine lipid droplet aggregation and dual fluo-rescent recombinant adenovirus Ad-mCherry-GFP-LC3B was transfected into AML12 cells to observe changes in autopha-gic flow.RESULTS:HFD-fed mice exhibited significant insulin resistance and reduced glucose tolerance,significant lip-id deposition in the liver tissue,coupled with increased hepatic ALT,AST,TG and TC levels.The expression levels of au-tophagy-related proteins LC3-Ⅱ,beclin-1,and ATG5 were decreased,while that of p62 was increased(P<0.01).More-over,miR-30a-3p overexpression significantly increased blood glucose and insulin resistance in HFD-fed mice.However,it aggravated lipid droplets deposition in liver tissue and enhanced hepatic TG,TC,AST and ALT levels.Western blot re-vealed that the expression levels of LC3-Ⅱ,beclin-1 and ATG5 were further reduced,while that of p62 was significantly in-creased(P<0.01).In vitro,we observed that the TG and TC levels,as well as lipid accumulation in PO-treated AML12 cells were increased significantly.Similarly,the expression levels of LC3-Ⅱ,beclin-1 and ATG5 were decreased,whereas that of p62 increased in PO-treated AML12 cells(P<0.01).Notably,knockdown of miR-30a-3p resulted in a significant reduction in the TG content in PO-treated AML12 cells and lipid droplet aggregation was significantly suppressed.Further-more,the expression of LC3-Ⅱ,beclin-1 and ATG5 proteins was increased,while that of p62 was decreased significantly and the autophagy flow was improved(P<0.01).CONCLUSION:The miR-30a-3p exacerbates hepatic lipid deposi-tion,inducing severe hepatic steatosis and liver damage,to promote the occurrence and development of NAFLD in mice.Mechanistically,its effects involve inhibition of hepatic autophagy level.

Definitive treatment of lung cancer with radiotherapy is challenging, as respiratory motion and anatomical changes can increase the risk of severe off-target effects during radiotherapy. Online adaptive radiotherapy (ART) is an evolving approach that enables timely modification of a treatment plan during the interfraction of radiotherapy, in response to physiologic or anatomic variations, aiming to improve the dose distribution for precise targeting and delivery in lung cancer patients. The effectiveness of online ART depends on the seamless integration of multiple components: sufficient quality of linear accelerator-integrated imaging guidance, deformable image registration, automatic recontouring, and efficient quality assurance and workflow. This review summarizes the present status of online ART for lung cancer, including key technologies, as well as the challenges and areas of active research in this field.
Humans ; Lung Neoplasms/radiotherapy* ; Radiotherapy Planning, Computer-Assisted/methods*

Objective:To investigate the correlation between serum neuron-specific enolase (NSE) levels and poor neurological outcomes in cardiac arrest (CA) patients supported by veno-arterial extracorporeal membrane oxygenation (VA-ECMO).Methods:This retrospective analysis was conducted on adult CA patients treated with VA-ECMO at Hangzhou First People's Hospital Affiliated to Westlake University School of Medicine, and Second Affiliated Hospital Zhejiang University School of Medicine, from December 2018 to February 2024. General clinical data and serial serum NSE levels at 24, 48, and 72 h after ECMO initiation were collected. Based on the Glasgow-Pittsburgh Cerebral Performance Category (CPC) at discharge, patients were divided into poor neurological outcome group (CPC 3-5) and good neurological outcome group (CPC 1-2). Differences in serum NSE levels between the two groups were compared. The accuracy of serum NSE levels at three time points in predicting poor neurological outcomes in CA patients was assessed via receiver operating characteristic curves, and the optimal cut-off values were determined by the Youden index. Multivariate logistic regression analysis was performed to determine the relationship between serum NSE levels and poor neurological outcomes. Subgroup analysis was based on age, sex, location of CA, and extracorporeal cardiopulmonary resuscitation (ECPR).Results:A total of 120 eligible CA patients were included, with 88 patients (73.3%) having poor neurological outcomes at discharge. Serum NSE levels at 24, 48, and 72 h after ECMO initiation were higher in the poor outcome group compared to the good outcome group (all P<0.05). The serum NSE level at 72 h had the highest accuracy in predicting poor outcomes, with an area under the curve (AUC) of 0.91 (95% CI: 0.85-0.96), and a cut-off value of 42.0 μg/L. The AUCs for 24 and 48 h were 0.78 (95% CI: 0.69-0.86) and 0.87 (95% CI: 0.80-0.94), with cut-off values of 70.6 μg/L and 64.5 μg/L, respectively. Multivariate logistic regression analysis suggested that the serum NSE level at 72 h was associated with poor outcomes ( P<0.05), and an NSE level >42.0 μg/L was an independent risk factor for poor outcomes ( OR=20.29, 95% CI: 2.90-92.15). Subgroup analysis showed that serum NSE level at 72 h was an independent risk factor for poor neurological outcomes in CA patients aged<60 years old, male or female, out-of-hospital or in-hospital CA, and whether to perform ECPR (all P<0.05). Conclusion:Elevated serum NSE levels at 72 h after VA-ECMO initiation are associated with poor neurological outcomes in CA patients, with the cut-off value of 42.0 μg/L.