Multiple system atrophy (MSA) is a rare neurodegenerative disease with complex clinical manifestations, presenting substantial challenges in clinical diagnosis and treatment. Its symptoms and the eight extraordinary meridians are potentially correlated; therefore, this article explores the association between MSA symptom clusters and the eight extraordinary meridians based on their circulation and physiological functions, as well as their treatment strategies. The progression from deficiency to damage in the eight extraordinary meridians aligns with the core pathogenesis of MSA, which is characterized by "the continuous accumulation of impacts from the vital qi deficiency leading to eventual damage". Liver and kidney deficiency and the emptiness of the eight extraordinary meridians are required for the onset of MSA; the stagnation of qi deficiency and the gradual damage to the eight extraordinary meridians are the key stages in the prolonged progression of MSA. The disease often begins with the involvement of the yin and yang qiao mai, governor vessel, thoroughfare vessel, and conception vessel before progressing to multiple meridian involvements, ultimately affecting all eight extraordinary meridians simultaneously. The treatment approach emphasizes that "the direct method may be used for joining battle, but indirect method will be needed in order to secure victory" and focuses on "eliminate pathogenic factors and reinforce healthy qi". Distinguishing the extraordinary meridians and focusing on the primary symptoms are pivotal to improving efficacy. Clinical treatment is aimed at the target, and tailored treatment based on careful clinical observation ensures precision in targeting the disease using the eight extraordinary meridians as the framework and core symptoms as the specific focus. Additionally, combining acupuncture, daoyin therapy, and other method may help prolong survival. This article classifies clinical manifestations based on the theory of the eight extraordinary meridians and explores treatment.

BACKGROUND:Lower limb peri-knee muscle strength training and neuromuscular electrical stimulation are generally safe and effective rehabilitation methods for patellofemoral joint pain,but the mechanism of their intervention is still unclear. OBJECTIVE:To determine the effect of muscle strength training combined with neuromuscular electrical stimulation on pain,lower extremity function and biomechanical characteristics in patients with patellofemoral pain. METHODS:Thirty-seven patients with patellofemoral pain were randomly divided into muscle strength training combined with electrical stimulation group(trial group,n=19)and muscle strength training group(control group,n=18).Both groups underwent intervention training for 6 weeks,three times a week.The visual analog scale and anterior knee pain scale were used to evaluate the pain level and functional level of the knee.Kinematic and kinetics data during running were collected by using an infrared motion capture system and a three-dimensional force platform simultaneously.A two-way analysis of variance with repeated measures(group*time)was applied to analyze the data. RESULTS AND CONCLUSION:(1)After the intervention,the visual analog scale scores of the trial group and the control group were significantly decreased(P<0.001),and the anterior knee pain scale scores were significantly increased(Ptrial group<0.001,Pcontrol group=0.001)in the trial group and control group.The anterior knee pain scale scores of the trial group were significantly higher compared to the control group after the intervention(P=0.001).(2)The peak knee flexion angle(P=0.011),peak knee extension moment(P<0.001),the peak knee internal rotation moment(P=0.008),the peak patellofemoral stress(P<0.001)and the peak patellofemoral contact force(P<0.001)were significantly decreased in the trial and control groups during running after the intervention compared with those before the intervention.(3)In conclusion,both muscle strength training and muscle strength training combined with electrical stimulation training are helpful to improve the subjective pain and lower limb function of patellofemoral pain patients,enhance the movement pattern during running and reduce the stress of the patellofemoral joint.Compared with muscle strength training alone,muscle strength training combined with electrical stimulation can improve lower limb function more significantly.

The pattern differentiation method is the most representative part of the inheritance of the experience of renowned practitioners of traditional Chinese medicine,reflecting their clinical thinking characteristics. Among them,Professor LYU Renhe proposed and developed the theory of abdominal masses in the long-term diagnosis and treatment of kidney diseases. Based on his clinical experience,he formed the method of differentiation of Shenluozhengjia (tangible or intangible abdominal masses of kidney collaterals). This differentiation method is characterized by its simple and easy clinical application. Tangible or intangible abdominal masses of kidney collaterals refer to chronic kidney disease,which is based on the basic cause of kidney deficiency. External or internal pathogenic factors cannot be eliminated,and prolonged illness invades the kidney collaterals,causing pathological products,such as qi stagnation,blood stasis,phlegm dampness,heat toxin,and turbid toxin to stagnate in the kidney collaterals,resulting in damage to the kidney body and loss of kidney function. The basic pathogenesis is a deficiency of kidney qi and the formation of tangible or intangible abdominal masses of the kidney collaterals. During pattern differentiation,the type is determined by the deficiency,which is fixed,and the pattern is determined by the excess,which is constantly changing with the condition and can be combined. Furthermore,he summarized the dietary principles as having more essence and less coarseness,more milk and less meat,a phased diet,and the selection of the symptomatic diet. To inherit and improve the theory and clinical practice of the pattern differentiation theory of tangible or intangible abdominal masses of kidney collaterals,this article reviews and summarizes the unique pattern differentiation method of the kidney collateral pattern from the aspects of definition,theoretical origin,etiology and pathogenesis,differentiation and treatment,and regulation,providing a basis for forming suitable diagnosis and treatment method for clinical promotion.

Morita therapy has been bom for more than 100 years.Inpatient Morita therapy is highly oper-able and easy to master.It can improve many refractory neuroses through four-stage treatment.But more neuroses are treated in outpatient clinics,and Morita therapy cannot be used in hospitalized patients.Therefore,the formula-tion of expert opinions on outpatient operations is particularly important.This paper is based on domestic and for-eign references,and after many discussions by domestic Morita therapy experts,and then drew up the first version of the expert opinions on operation of outpatient Morita therapy.Meanwhile the operation rule of Morita therapy in three stages of outpatient treatment was formulated:in the etiological analysis stage,under the theoretical guidance of Morita therapy,analyze the pathogenic factors,to improve treatment compliance and reduce resistance;during the operating stage,guide patients to engage in constructive and meaningful actions,realizing the achievement of letting nature take its course principle;in the cultivating character and enriching life stage,pay attention to positive infor-mation,expanding the scope and content of actions,improving the ability to adapt to complex life,and preventing recurrence caused by insufficient abilities.It will lay a foundation for the promotion of Morita therapy in domestic outpatient clinics,so that more patients with neurosis and other psychological diseases could receive characteristic Morita therapy treatment in outpatient clinics.

Urine nontargeted metabolomics technology was developed for investigating the effect and mechanism of improving learning and memory ability in APP/PS1 mice of Psoralea corylifolia. All animal experiments were approved by the Animal Ethics Committee of Heilongjiang University of Chinese Medicine (Approval No.: 2020092502). Sixteen APP/PS1 mice were randomly divided into the model group and Psoralea corylifolia group (0.5 g·kg^-1), and eight male C57BL/6J mice of the same background were selected as control group, step-through test and novel object recognition were used as evaluation indexes. Changes in urine endogenous metabolites of mice from eachgroup were determined by ultra-high performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (UPLC-Q-TOF-MS), and differential metabolites were screened, and metabolic pathway enrichment analysis was performed. The results of pharmacodynamic investigation showed that Psoralea corylifolia can reduce the dark incubation period and number of errors in APP/PS1 mice (P < 0.01) and improve the new object recognition index of APP/PS1 mice (P < 0.01). Metabolomics analysis identified 15 differential metabolites, and 9 differential metabolites were significantly call back by Psoralea corylifolia. Metabolic pathway analysis showed that histidine metabolism, citric acid cycle, taurine and hypotaurine metabolism and glucose metabolism were the main metabolic pathways of Psoralea corylifolia in improving learning and memory ability. These studies suggest that Psoralea corylifolia improves the learning and memory ability of APP/PS1 mice, and its mechanism may be related to improving mitochondrial dysfunction, reducing peripheral histamine level, regulating energy metabolism disorders and antioxidant levels.

Pharmaceutical cocrystals is an advanced technology to improve the physicochemical and biological properties of drugs. However, there are few studies on the in vivo metabolism of pharmaceutical cocrystals. In this study, the pharmacokinetics of wogonin cocrystal in normal rats was further studied on the basis of the previous preparation of wogonin-aloperine cocrystal. Firstly, an ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method was established for simultaneous determination of wogonin and its metabolite wogonoside in rat plasma, and to investigate the methodology. The method was applied to the pharmacokinetic study of wogonin-aloperine cocrystal (Wog-Alop) in rats. The results showed that wogonin and its metabolite wogonoside had a good linear relationship in the range of 1-800 ng·mL^-1, and the precision, accuracy, matrix effect and stability in this range met the requirements of biological analysis. Compared with direct administration of wogonin, the C_max of wogonin and its metabolite in rats increased to 7.44-fold and 9.15-fold, AUC_0-t increased to 1.67-fold and 3.72-fold, and oral bioavailability of wogonin increased to 187.66% after cocrystal administration. Wog-Alop cocrystal can significantly improve the C_max, AUC, and oral bioavailability of wogonin and its metabolite, which provides a new perspective for the clinical application of wogonin. This study was approved by the Experimental Animal Ethics Review Committee of Beijing University of Chinese Medicine (approval number: BUCM-2023032307-1148).

OBJECTIVE To establish HPLC methods with different separation principles to analyze the relevant impurities in the APIs of bivalirudin from seven enterprises, to provide a basis for the comprehensive control of related substances of bivalirudin. METHODS Reversed-phase high performance liquid chromatography(RP-HPLC) was used to separate and analyze 11 kinds of impurities. Hydrophilic chromatography(HILIC)-HPLC was used to control four process impurities. Polymers were determined by size exclusion chromatography(SEC)-HPLC. RESULTS The established RP-HPLC could effectively separate the principal component and 11 impurities, the correction factors of 11 impurities were between 0.8−1.2, the detection concentration of bivalirudin was 0.1 μg·mL−1, and the detection limit was 0.004%. The established HILIC-HPLC could effectively separate the principal components and four process impurities, and the detection concentration of bivalirudin was 0.3 μg·mL−1, and the detection limit was 0.01%. Under SEC-HPLC conditions, the polymer and bivalirudin peaked sequentially, the resolution of the two was 2.9, the detection concentration of bivalirudin was 6 ng·mL−1, and the detection limit was 0.000 6%. Fifteen kinds of known impurities and polymers in 15 batches of samples from 7 enterprises were calculated by the self-control method of principal components, and the impurity contents from different enterprises had a certain correlation with their production processes. CONCLUSION The three different principles of the method have good specificity, high sensitivity, good durability, and reliable results, and can be used for quality control of substances related to bivalirudin.

Objective To explore the causal relationship between family resilience and mental health in military personnel population.Methods A total of 204 military personnel were recruited from an army unit stationed in Western China with cluster convenience sampling.Family Resilience Scale(FRS)and Symptom Checklist 90(SCL-90)were used to survey them twice,in an interval of 4 months.Amos 26.0 was applied to construct a cross-lag model and analyze the data.Results After controlling mental symptoms from the first survey,family resilience in the first measure significantly predicted mental symptoms in the second measure(β=-0.14,P＜0.05).After controlling for family resilience from the first survey,mental symptoms in the first measure significantly predicted family resilience in the second measure(β=-0.13,P＜0.05).Conclusion The relationship between family resilience and mental health is mutually causal in military personnel,and one predicts the other one.Our findings highlight the key dimensions of the relationship between the two.

Objective To investigate the feasibility of developing a grading diagnostic model for schistosomiasis-induced liver fibrosis based on B-mode ultrasonographic images and clinical laboratory indicators. Methods Ultrasound images and clinical laboratory testing data were captured from schistosomiasis patients admitted to the Second People’s Hospital of Duchang County, Jiangxi Province from 2018 to 2022. Patients with grade I schistosomiasis-induced liver fibrosis were enrolled in Group 1, and patients with grade II and III schistosomiasis-induced liver fibrosis were enrolled in Group 2. The machine learning binary classification tasks were created based on patients’radiomics and clinical laboratory data from 2018 to 2021 as the training set, and patients’radiomics and clinical laboratory data in 2022 as the validation set. The features of ultrasonographic images were labeled with the ITK-SNAP software, and the features of ultrasonographic images were extracted using the Python 3.7 package and PyRadiomics toolkit. The difference in the features of ultrasonographic images was compared between groups with t test or Mann-Whitney U test, and the key imaging features were selected with the least absolute shrinkage and selection operator (LASSO) regression algorithm. Four machine learning models were created using the Scikit-learn repository, including the support vector machine (SVM), random forest (RF), linear regression (LR) and extreme gradient boosting (XGBoost). The optimal machine learning model was screened with the receiver operating characteristic curve (ROC), and features with the greatest contributions to the differentiation features of ultrasound images in machine learning models with the SHapley Additive exPlanations (SHAP) method. Results The ultrasonographic imaging data and clinical laboratory testing data from 491 schistosomiasis patients from 2019 to 2022 were included in the study, and a total of 851 radiomics features and 54 clinical laboratory indicators were captured. Following statistical tests (t = −5.98 to 4.80, U = 6 550 to 20 994, all P values < 0.05) and screening of key features with LASSO regression, 44 features or indicators were included for the subsequent modeling. The areas under ROC curve (AUCs) were 0.763 and 0.611 for the training and validation sets of the SVM model based on clinical laboratory indicators, 0.951 and 0.892 for the training and validation sets of the SVM model based on radiomics, and 0.960 and 0.913 for the training and validation sets of the multimodal SVM model. The 10 greatest contributing features or indicators in machine learning models included 2 clinical laboratory indicators and 8 radiomics features. Conclusions The multimodal machine learning models created based on ultrasound-based radiomics and clinical laboratory indicators are feasible for intelligent identification of schistosomiasis-induced liver fibrosis, and are effective to improve the classification effect of one-class data models.

Objective To analyze the detection efficiency of p16INK4a protein combined with human papillomavirus and liquid-based cytology(LCT)in the screening of cervical precancerous lesions,and to provide a basis for cervical cancer preven-tion and treatment.Methods The results of p16INK4a staining of cervical epithelial cells,human papillomavirus testing and cer-vical cytology were analyzed in 139 inpatients at Guangzhou Women's and Children's Medical Center between January 2019 and December 2020.Of them,there were 111 patients with cervical intraepithelial neoplasia(CIN)and 28 cases of cervical inflam-matory disease.The efficacy of the three methods alone and in combination to screen for CIN lesions was compared.Results In the detection of CIN patients,the sensitivity of p16INK4a,microfluidic microarray and cervical cytology for detecting CIN and a-bove lesions was 91.89% ,94.59% and82.88% ,with specificity of 57.14% ,17.86% and46.43% ,and AUC of 0.75,0.56 and 0.65,respectively;while the sensitivity of"p16INK4a+LCT","p16INK4a+hrHPV","LCT+hrHPV"and their sen-sitivity were 96.40% ,97.30% ,94.59% and 99.10% ,their specificity was 85.71% ,92.86% ,89.29% and 92.86% ,and the AUC was 0.91,0.95,0.92 and 0.96,respectively.Conclusion The combined p16INK4a and hrHPV test helps to improve diagnostic accuracy and early detection,thus allowing for earlier intervention or treatment.This combined application allows for more accurate identification of low-grade and high-grade cervical intraepithelial neoplasia,providing more information for indi-vidualized patient management.