As the core vehicle for preserving and transmitting traditional Chinese medicine（TCM） academic thought and clinical experience， the establishment of a robust quality evaluation system for TCM clinical case reports is a crucial component in the current standardization and modernization of TCM. Based on the practical experience of constructing the China Clinical Cases Library of Traditional Chinese Medicine by the China Association of Chinese Medicine， this study conducted a comprehensive analysis of critical challenges， including insufficient authenticity and unfocused evaluation criteria. It proposed a three-dimensional evaluation framework grounded in the structure-process-outcome logic， encompassing three dimensions of authenticity and standardization， characteristics and advantages， application and translational impact. This framework integrated 12 key evaluation indicators in a systematic manner. The model preserved the academic characteristics of TCM syndrome differentiation and treatment， while aligning with modern scientific research standards， achieving a balance between individualized TCM experience and standardized evaluation. Concurrently， this study provided theoretical foundations and methodological guidance for evaluating the quality of TCM clinical cases， contributing significantly to the inheritance of TCM knowledge， evidence-based practice， and the reform of talent evaluation mechanisms.

Parkinson's disease （PD） is a common neurodegenerative disorder characterized by motor impairments， with its pathological mechanisms involving multiple processes such as the degeneration of dopaminergic neurons and the abnormal aggregation of α-synuclein. Current Western medical treatments face challenges including diminished long-term efficacy and motor complications. In recent years， Traditional Chinese Medicine （TCM） has demonstrated advantages in the prevention and treatment of PD through its systematic regulatory capabilities， featuring multi-component， multi-target， and multi-pathway approaches.This article systematically reviews the roles of seven key signaling pathways-NF-κB， AMPK/mTOR， PI3K/Akt， MAPKs， Nrf2/ARE， Wnt/β-catenin， and BDNF/TrkB-in the pathological process of PD and the regulatory mechanisms of TCM. Research indicates that active ingredients of Chinese herbs and compound formulations can synergistically modulate these pathways， exerting comprehensive effects in inhibiting neuroinflammation， alleviating oxidative stress， promoting autophagy to clear abnormal proteins， and enhancing neurotrophic support. These signaling pathways form a complex regulatory network through crosstalk among key nodal molecules， constituting an intricate regulatory system in PD pathology. The multi-target intervention characteristics of TCM align well with this network-based regulatory requirement， achieving integrated anti-inflammatory， antioxidant， autophagy-regulating， and neurorestorative effects through synergistic multi-pathway modulation. This article systematically outlines the mechanisms of TCM in the coordinated regulation of multiple pathways， providing a theoretical basis for elucidating the pathological process of PD and the intervention mechanisms of TCM， while also offering new perspectives and directions for modern research on TCM in the prevention and treatment of PD.

This study aimed to investigate the mechanism of liquiritin (LQ) in the improvement of ventricular remodeling (VR) after acute myocardial infarction (AMI). Molecular docking was used to predict the binding affinity of liquiritin to thioredoxin-interacting protein (TXNIP). After 2 weeks of modeling, the rats were randomly divided into a model group, a low-dose liquiritin group (20 mg/kg LQ), and a high-dose liquiritin group (40 mg/kg LQ). Liquiritin was administered by gavage once a day, and the sham group and model group were given the same volume of 0.5% sodium carboxymethylcellulose (CMC-Na), with intervention of 4 consecutive weeks. Echocardiography was employed to detect the cardiac function, HE staining was used to observe cardiological changes, ELISA was used to detect the activity of serum creatine kinase-MB (CK-MB) activity, and the colorimetric method was adopted to detect serum malondialdehyde (MDA), total superoxide dismutase (T-SOD) and catalase (CAT) activities. RT-qPCR was used to detect the gene expressions of TXNIP, thioredoxin (TRX) and NACHT, LRR, and PYD domains-containing protein 3(NLRP3). Western blot was used to detect the protein expressions of TXNIP, TRX and NLRP3 in rat myocardial tissue. Molecular docking results showed that liquiritin had a good binding affinity to TNXIP target. After 20 and 40 mg/kg liquiritin intervention, the levels of ejection fraction (EF) and fractional shortening (FS) were significantly increased (P<0.01), and the levels of LVIDs, LVIDd, LVESV, and LVEDV were decreased (P<0.01). The myocardial structure was significantly improved, the cell arrangement tended to be regular, and the area of inflammatory cell infiltration and necrosis was reduced. Liquiritin significantly reduced the level of CK-MB (P<0.01), decreased the activity of MDA, and increased the activities of CAT and T-SOD (P<0.01). Liquiritin effectively inhibited the overexpression of TXNIP and NLRP3 genes and proteins, and enhanced the expression of TRX genes and proteins in the myocardial tissues of AMI rats. In conclusion, liquiritin has a regulatory effect on the TXNIP/TRX signaling pathway, inhibits the activation of the NLRP3 inflammasome, and thus improves ventricular remodeling after acute myocardial infarction.

Acupuncture and moxibustion have their unique advantages in treating tumors,but the theoretical framework of acupuncture and moxibustion intervention in tumors needs to be improved,and the academic system still needs to be sorted out.In this paper,we try to describe the commonalities between Chinese medical theories and modern medical technologies in order to consolidate the theoretical foundation of acupuncture intervention in tumor.Specifically:① Acupuncture regulates immune function and energy metabolism,which is a specific form of tonifying the spleen and stomach to support positive qi.② Tumors belong to the broad definition of"sores and ulcers"in traditional Chinese medicine,which is a special kind of chronic inflammation,and acupuncture intervenes in tumors by intervening in inflammatory reactions from ulcers.③ Tumor is a"dynamic pseudo-organ"with yin and yang attributes and"life attributes".Acupuncture and moxibustion can regulate various cells and factors in the tumor environment in a multi-targeted way,so as to make it tend to the state of yin and yang equilibrium.④ Acupuncture and moxibustion have unique advantages in the reduction of toxicity,enhancement of efficacy,tonicity,rejuvenation,treatment of complications,etc.,which complement the allopathic therapies of modern medicine,and can help to realize survival with tumors.

This study was aimed at analyzing the epidemiological and drug resistance characteristics of tuberculosis at a desig-nated tuberculosis hospital in Hunan Province in 2024.Patients diagnosed with TB at the hospital between April and October 2024 were included in the study.Demographic data,clinical information,and drug sensitivity test results were collected from the hospital′s electronic medical record system.Descriptive statistics,the chi-square test,and logistic regression were used to analyze the epidemic characteristics,drug resistance characteristics,and factors influencing tuberculosis.Whole genome sequencing of isolates was per-formed,and lineage classification and drug resistance gene mutations were detected with TB-Profiler.The male-to-female ratio was 2.72∶1,and the median age was 56(IQR:43-66)years.Among the 391 patients,most were farmers(46.8%,183/391)and were pri-marily from Changsha(41.1%,162/391).Significant differences were observed in sex and occupation between pulmonary tuberculosis(PTB)and extrapulmonary tuberculosis(EPTB).The overall prevalence of any type of drug resistance of tuberculosis was 33.25%,and the multidrug resistance TB(MDR-TB)and poly-drug resistance(PR-TB)rates were 14.23%and 4.35%,respectively.The re-sistance rates to rifampicin(RIF),isoniazid(INH),ethambutol(EMB),and streptomycin(SM)were 17.90%,22.25%,6.39%,and 20.20%,respectively.Multivariable logistic regression analysis indicated that both diabetes(OR:2.295,95%CI:1.082-4.866)and retreatment(OR:17.822,95%CI:8.343-38.072)were risk factors for developing MDR-TB.Lineage 2(L2)strains accounted for 64.40%(136/191),whereas lineage 4(L4)accounted for 28.80%(55/191).The most common drug resistance mutations were katG Ser315Thr(62.50%,20/32)for INH,rpoB Ser450Leu(50.00%,12/24)for RIF,embB Met306Val(55.56%,5/9)for EMB,and rpsL Lys43Arg(80.95%,34/42)for SM.In conclusion,TB drug resistance was found to be a serious problem at a designated tu-berculosis hospital in Hunan in 2024.Strengthening the treatment and management of patients infected with L2 strains,those with co-morbid diabetes,and retreatment cases is crucial for preventing and controlling the emergence of drug-resistant TB.

Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P＜0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7％,and the AUC values were up to 100％,99.5％,99.1％and 99.5％,respectively.The accuracy(98.5％),precision(98.5％),recall(98.5％),and AUC(99.1％)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0％,while Bagging has the lowest AUC value(99.1％)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13％),AUC(99.42％),recall rate(99.46％)and specificity(99.42％)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.

Objective To explore the characteristics of fluid flow within loaded osteons under different boundary conditions.Methods The COMSOL Multiphysics software was used to establish a three-dimensional(3D)finite element model of osteons with different boundary conditions,and the variation rules of pore pressure and flow velocity of osteons under different inner wall pulsating blood pressures and outer wall elastic constraint conditions were analyzed.Results As the pulsatile blood pressure inside the osteon increased from 0 mmHg(1 mmHg=0.133 kPa)to 300 mmHg,the peak pore pressure within the osteon correspondingly increased from 26 kPa to 68 kPa.As the elastic constraint on the outer wall of osteons changed from being completely elastic to completely constrained,the peak pore pressure within osteons increased from 15 kPa to 26 kPa,and the peak flow velocity increased from 0.04 um/s to 0.07 um/s.Conclusions This study reveals the influence laws of changes in boundary conditions such as the pulsatile blood pressure on the inner wall and the elastic constraint on the outer wall of osteons on fluid flow characteristics within loaded osteons.These findings are conducive to a deeper understanding of the mechanical response mechanisms of bone tissues in both physiological and pathological states,and provide an important theoretical basrs for further researches on bone mechanotransduction.

Background and purpose:Members of the serine protease inhibitor(SERPIN)family can influence tumorigenesis,progression,and prognosis by modulating processes such as apoptosis,invasion,metastasis,and angiogenesis in tumor cells.However,their role in pancreatic cancer remains unclear.This study aimed to investigate the impact of high expression of serine protease inhibitor A3(SERPINA3)on the proliferation,apoptosis,migration,and chemoresistance of pancreatic cancer cells and its mechanism.Methods:This study analyzed the SERPINA3 expression levels in the normal pancreatic ductal epithelial cell line hTERT-HPNE and pancreatic cancer cell lines SW1990,Capan-1,PANC-1,and ASPC-1 by real-time reverse transcription quantitative polymerase chain reaction(qRT-PCR).We established gemcitabine-resistant pancreatic cancer cell lines PANC-1/R and ASPC-1/R,and used qRT-PCR assay and cell counting kit-8(CCK-8)to determine the SERPINA3 expression levels in the constructed resistant cell lines and their parental sensitive cell lines,as well as the differences in their chemosensitivity to gemcitabine.We constructed the SERPINA3-knockdown cell line si-SERPINA with siRNA,and the negative control group si-SERPINA#NC with siRNA negative control.We used MDA assay,CCK-8 assay,EdU cell proliferation assay,transwell migration assay,matrigel invasion assay,scratch assay,and apoptotic assay to respectively detect the lipid oxidation levels,proliferation,migration,invasion,wound-healing ability,and the influence on apoptosis of the gemcitabine-resistant pancreatic cancer cells in the si-SERPINA group and the si-SERPINA#NC group.Results:Compared with normal pancreatic ductal epithelial cells hTERT-HPNE,the expression level of SERPINA3 in various pancreatic cancer cell lines was significantly increased(P＜0.05).mRNA and protein expression levels of SERPINA3 in PANC-1/R and ASPC-1/R were significantly increased compared with those in parent cells(P＜0.001).When SERPINA3 was knocked down in PANC-1/R and ASPC-1/R cells,the survival rate of the cells under different concentrations of gemcitabine chemotherapy decreased,and MDA detected that the lipid oxidation level was increased(P＜0.001).In addition,the proliferation rate of PANC-1/R and ASPC-1/R cell lines with SERPINA3 knockout,the number of migrating/invading cells and the healing rate of scratch test were significantly decreased(P＜0.01),and flow cytometry demonstrated that the number of apoptotic cells was increased(P＜0.05).These results suggest that SERPINA3 knockdown can inhibit the proliferation,migration,invasion and wound healing ability of gemcitabine-resistant pancreatic cancer cells,and promote the apoptosis of these resistant cells.Conclusion:SERPINA3 overexpression was found in various pancreatic cancer cells.SERPINA3 overexpression promoted malignant progression and chemotherapy resistance of pancreatic cancer,and interference with SERPINA3 expression promoted ferroptosis and enhanced chemotherapy sensitivity of gemcitabine-resistant pancreatic cancer cells.

X-ray is usually used to determine anatomy and localization during conventional permanent pacemaker implantation.But X-ray exposure might induce radiation injury to fetus.In this paper,we reported 2 cases successful double cavity permanent pacemaker implantation in pregnant women woman at 13 weeks of gestation under the guidance of transthoracic echocardiography.The postoperative pacing parameters were good,the whole process was finished with zero radiation,and there were complications during pregnancy.Both cases resulted in full-term pregnancies and the natural delivery of healthy newborns.Pacemaker electrodes were in normal position as confirmed by post-delivery X-ray examinations.

Aim To investigate the protective effect of liraglutide(LIRA)on acetaminophen(APAP)-in-duced hepatotoxicity at the in vivo level and to reveal the underlying mechanism.Methods Forty SPF grade male C57BL/6J mice were randomly divided into the Control,LIRA(200 μg·kg-1),APAP(500 mg·kg-1),LIRA+APAP,LIRA+APAP+3-methylade-nine(3-MA,30 mg·kg-1)groups,with eight mice in each group.The mice were administered for three con-secutive days,and the materials were taken after 24 h.The general condition and body weight of mice in each group were recorded,and liver morphology was ob-served.Serum ALT and AST levels,as well as SOD ac-tivity,MDA,and GSH content in liver homogenates,were measured using biochemical assay kits.The levels of inflammatory cytokines IL-6,TNF-α,and IL-1β in serum were detected by ELISA.Liver pathological changes were assessed by HE staining,while mitochon-drial and autophagosome structures in liver tissues were observed using transmission electron microscopy.The number of PCNA-positive cells in liver tissues was e-valuated using immunohistochemical staining.The pro-tein expression levels of LC3Ⅱ,p62,Bax,Bcl-2,PC-NA,and CyclinD1 in liver tissues were determined by Western blot.Results LIRA pretreatment can im-prove the general condition of mice with acetamino-phen-induced liver injury(AILI),reduce serum ALT and AST levels,and effectively ameliorate the appear-ance and morphology of the liver as well as the patho-logical damage to liver tissue.Simultaneously,the lev-els of inflammatory cytokines IL-6,TNF-α,and IL-1βare significantly decreased;SOD activity and GSH con-tent are significantly increased,while MDA content is significantly reduced.Transmission electron microsco-py observations reveal the presence of numerous auto-phagosomes in the cytoplasm of liver tissue.Immuno-histochemical staining results indicate a significant in-crease in the number of PCNA-positive cells.Further-more,the expression of LC3Ⅱ,Bcl-2,PCNA,and Cy-clinD1 proteins in liver tissue is significantly upregulat-ed,while the expression of p62 and Bax proteins is significantly downregulated.However,after interven-tion with the autophagy inhibitor 3-MA,the aforemen-tioned protective effects of LIRA are significantly.Conclusions LIRA pretreatment can significantly im-prove liver injury in AILI mice.Its protective mecha-nism may be related to enhancing autophagy in hepato-cytes,thereby reducing oxidative stress,inflammatory response and apoptosis in liver of AILI mice.