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.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

The disease-syndrome combination animal model in traditional Chinese medicine （TCM） andrology serves as an important bridge linking TCM theory with modern medical research， providing a key experimental platform for elucidating the 'syndrome-disease' correlation mechanism in male-specific diseases and for screening effective prescriptions. This article reviews recent progress in animal model research on common TCM andrological diseases， including prostatic diseases， sexual dysfunction， and male infertility， with a focus on analyzing the application， advantages， and disadvantages of various modeling strategies， such as immune induction， hormonal intervention， and multi-factor combination across different syndrome types. However， despite breakthroughs in model construction techniques， current research still faces several challenges， including insufficient standardization of syndrome differentiation and difficulties in quantifying TCM-specific indicators. Future studies need to optimize model evaluation systems by integrating modern technologies， in order to promote the standardization and internationalization of TCM andrology research.

Objective To explore the clinical efficacy of superselective arterial embolization in children with Parkes-Weber syndrome(PWS),and the prevention and treatment of postoperative complications.Methods Nine patients with PWS diagnosed by clinical and imaging examinations were selected.Under general anesthesia,the catheter was cannulated to all levels of branch arteries and lesion sites using the Seldinger technique.Absorbent gelatin sponge particle(or lipiodol)was selected according to the angiographic situation,and then target vessel embolization was performed.Patients with venous malformations were treated with local sclerotherapy at the same time.The patients were followed up for 1 month,3 months,6 months and 1 year after the operation to observe the clinical efficacy and complication.Results All 9 patients were successfully treated with interventional therapy.Arteriography showed that micro arteriovenous fistula existed at the distal end of multiple branch arteries,and the arteriovenous fistula had been closed after embolization.Review after 1 month of interventional therapy,the color spot of the affected limb became lighter,the temperature decreased,the leg circumference decreased,and the pain was relieved of all 9 cases.Three patients had skin deep color 2-3 days after the operation,so they were given hirudoid local smear,3 times/day,local warm water wet compress,raised limb position,local massage and other methods,and the local skin color gradually recovered after 1 week;On the 15th day after the operation,2 patients suffered from ischemic necrosis at the embolic site,skin color deepened,and tenderness.They were locally disinfected with hirudoid,aurantium peptide,normal saline,and iodophor.The skin broke and scabbed more than 1 month after the operation,the skin ulcer improved and new granulation tissue grew up 1.5 months after the operation;One case had no obvious reduction of the lesion 1 month after the operation,so the second intervention was performed.Conclusion Superselective arterial embolization is effective in the treatment of PWS in children,but the prevention of complications should be paid attention to and complications should be timely treated.

Objective To explore the perceptions,diagnostic criteria and clinical management strategies of joint surgeons regarding perioperative knee extension lag in patients with total knee arthroplasty.Methods From June to July,2024,17 joint surgeons from Peking University the First Hospital and Peking University the Third Hospital were selected as research subjects using purposive and convenience sampling.Semi-structured in-terviews were conducted.The interview data were analyzed and themes were summarized using NVivo 12.0 soft-ware.Results A total of four themes and ten sub-themes emerged from the study.Theme 1 was the basics related to knee exten-sion lag,including definition,diagnosis and incidence.Theme 2 was the attitudes of joint surgeons towards knee extension lag,including clinical value and importance.Theme 3 was the impact of knee extension lag on postop-erative functional outcomes,including the impact of preoperative knee extension lag and postoperative knee ex-tension lag on functional recovery.Theme 4 was management strategies for knee extension lag,including preop-erative rehabilitation,surgical strategies and postoperative management.Conclusion The standardized diagnosis and treatment of knee extension lag are still required further research.It is rec-ommended that relevant content be added and emphasized in the training of joint surgeons and the early rehabili-tation intervention of rehabilitation practitioners to improve the diagnosis and treatment of knee extension lag and to make it a useful addition to the perioperative management of total knee arthroplasty.

To investigate the infection status of two arboviruses,akabane orthobunyavirus(AKAV)and bluetongue virus(BTV),in cattle herds of Guizhou Province,we employed the indirect ELISA method to detect AKAV and BTV antibody levels in the present experiment.A total of 1504 bovine serum samples from 37 large-scale farms and 88 free-range households from 26 districts or coun-ties of 7 cities(prefectures)of Guizhou Province were collected to detect AKAV antibody levels.Additionally,1 241 serum samples from 30 large-scale farms and 15 free-range households in 19 districts or counties of 3 cities(prefectures)were tested for BTV antibody levels.Moreover,two influencing factors,breeding mode and sampling season,were statistically analyzed for their effects.The results showed that the overall positive rate of AKAV antibodies was 11.64％(175/1 504),with individual positive rates of 13.20％(123/934)and 9.12％(52/570)in large-scale farms and free-range households,respectively.No significant differences were observed between the two groups.However,the farm positive rate(64.86％,24/37)in large-scale farms was significantly higher than that(26.14％,23/88)in free-range households.Seasonal statistics showed that the positive rate was highest during the summer season at 60.00％(12/20).The total positive rate of BTV antibodies was 25.42％(222/1 241).The farm positive rate and individual positive rate in free-range households were 66.67％(10/15)and 41.91％(57/136),respectively.For large-scale farms,these rates were 60.00％(18/30)and 14.93％(165/1 105),respectively.The individual pos-itive rate in free-range households was significantly higher than that in large-scale farms.Seasonal statistics showed that the positive rates in summer and autumn seasons were 50.00％(5/10)and 72.41％(21/29),respectively,both of which were significantly higher than those in winter and spring seasons.All these findings indicated that both AKAV and BTV were present to a certain ex-tent in Guizhou Province,with seasonality.Furthermore,differences were observed between the different breeding modes.Our results could provide a data reference for the formulation of preven-tion and control measures for the two insect-borne diseases.

To establish a rapid visual detection method for Akabane virus(AKAV)on site,specific primers and probes based on the S fragment of AKAV were designed in this experiment.Corre-sponding groups were added to the primers or probes to fulfil the requirement of the combination of recombinase polymerase amplification(RPA)with lateral flow dipstick(LFD).The reaction temperature and time,concentrations of the primer and probe were optimized to establish the RPA-LFD method for detecting AKAV.After that,the specificity,sensitivity and clinical reliability of the method were evaluated.The results showed that after 20 minutes of reaction at 37 ℃,the test results could be read on LFD paper.There was no cross reaction against blue tongue virus,Pasteurella multocida,bovine infectious rhinotracheitis virus and bovine Mycoplasma bovis,and the detection limit was 2.5 × 100 copies/μL of standard plasmid.Detection of clinical samples showed a consistent results with that by RT-PCR method.These findings indicated that the RPA-LFD method established had the advantages of good specificity,high sensitivity,simple operation and visualization,and could be applied to clinical detection,which provides new technical support for the rapid diagnosis and prevention and control of AKAV.

Objective:To investigate the mediating effect of psychological flexibility between recurrence risk perception and health behavior in stroke patients.Methods:From July to December 2024, 233 stroke patients at the First Affiliated Hospital of Zhengzhou University were selected using convenience sampling. Electronic questionnaires were used to collect patients' general information, perception of stroke recurrence risk, health behavior, and psychological flexibility.Results:The scores for recurrence risk perception, psychological flexibility, and health behavior of 233 stroke patients were (39.75±4.39), (47.45±4.19), and (54.04±3.78), respectively. Health behavior were positively correlated with recurrence risk perception ( r=0.495, P<0.01), and negatively correlated with psychological flexibility ( r=-0.367, P<0.01). Psychological flexibility partially mediated the relationship between recurrence risk perception and health behavior, with an effect value of 0.080 and an effect proportion of 17.5% (0.080/0.458) . Conclusions:Recurrence risk perception not only directly predicts health behavior in stroke patients but also indirectly influences their health behavior through psychological flexibility. Healthcare providers should enhance recurrence risk perception among stroke patients and incorporate the improvement of psychological flexibility as part of intervention strategies to improve patients' health behavior.

Objective:To explore the predictive value of systemic immune inflammation index combined with stress response index for postoperative urinary tract infection in patients with complicated kidney stones.Methods:From June 2021 to June 2023,97 patients who underwent treatment for urinary tract infection after complex kidney stone operation in Cangzhou Hospital of Integrated Traditional and Western Medicine were selected as infected group,and 87 patients who did not develop urinary tract infection after complex kidney stone operation were selected as uninfected group.Systemic immunoinflammatory index(SII),neutrophils,lympho-cyte,platelet,malondialdehyde(MDA),superoxide dismutase(SOD),catalase(CAT)levels were detected.Multivariate Logistic regression analysis was performed to analyze risk factors of postoperative urinary tract infection,and ROC curve was drawn to analyze the predictive value of SII,MDA,SOD and CAT alone and combined detection for postoperative urinary tract infection in patients with complex kidney stones.Results:Compared with uninfected group,levels of SII,neutrophils and MDA were increased in infected group,while levels of SOD and CAT were decreased(P<0.05).Levels of lymphocytes and platelets were decreased,the difference was not statistically significant(P>0.05).Multivariate Logistic regression analysis showed that presence of urinary tract history,opera-tion time≥100 min,urinary catheter retention time≥7 d,presence of preoperative urinary tract infection,stone load≥1 000 mm2,combined renal dysfunction,and preoperative blood glucose≥6.15 mmol/L were main risk factors for postoperative urinary tract infection in patients with complex kidney stones.ROC curve showed that combined detection was significantly more effective than single detec-tion of SII,MDA,SOD and CAT in the diagnosis of postoperative urinary tract infection in patients with precomplex kidney stones.Conclusion:Patients with urinary tract infection after complicated kidney stones have increased SII and MDA,decreased SOD and CAT levels,and the abnormal increased or decreased expression level are the predictors of risk of urinary tract infection after compli-cated kidney stones,which may be related with the diagnosis,development and prognosis of the disease.