ObjectiveTo investigate the anti-Alzheimer's disease （AD） effect of Dipsacus asper（DA） in the Caenorhabditis elegans model， and decipher the underlying mechanism via the peroxisome proliferator-activated receptor α （PPARα）/transcription factor EB （TFEB） pathway. MethodsFirst， transgenic AD C. elegans individuals were assigned into the blank control， model， positive control （WY14643， 20 µmol·L^-1）， and low-， medium-， and high-dose （100， 200， and 400 mg·L^-1， respectively） DA groups. The amyloid β-42 （Aβ₄₂） formation in the muscle cells， the paralysis time， and the deposition of amyloid β-protein （Aβ） in the head were detected. The lysosomal autophagy in the BV2 cell model was examined by Rluc-LC3wt/G120A. The expression levels of lysosomal autophagy-related proteins LC3Ⅱ， LC3I， LAMP2， and TFEB were detected by Western blot. Real-time quantitative polymerase chain reaction （Real-time PCR） was employed to determine the mRNA levels of autophagy-related genes beclin1 and Atg5 and lysosome-related genes LAMP2 and CLN2 downstream of PPARα/TFEB. A reporter gene assay was used to detect the transcriptional activities of PPARα and TFEB. Immunofluorescence was used to detect the fluorescence intensity of PPARα， and the active components of the ethanol extract of DA were identified by UPLC-MS. RCSB PDB， Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， and Autodock were used to analyze the binding between the active components and PPARα-ligand-binding domain （LBD）. ResultsCompared with the model group， the positive control group and 200 and 400 mg·L^-1 DA groups showed prolonged paralysis time （P<0.05）， and all the treatment groups showed decreased Aβ deposition in the head （P<0.01）. DA within the concentration range of 50-500 mg·L^-1 did not affect the viability of BV2 cells. In addition， DA enhanced the autophagy flux （P<0.05）， up-regulated the mRNA levels of beclin1， Atg5， LAMP2， and CLN2 （P<0.05， P<0.01）， promoted the nuclear translocation of TFEB （P<0.05）， increased LAMP2 expression and autophagy flux （P<0.05， P<0.01）， and enhanced the transcriptional activities of PPARα and TFEB （P<0.01）. The positive control group and 200 and 400 mg·L^-1 DA groups showed enhanced fluorescence intensity of PPARα in the BV2 nucleus （P<0.01）. UPLC-MS detected nine known compounds of DA， from which 8 active components of DA were screened out. The docking results suggested that a variety of components in DA could bind to PPARα-LBD and form stable hydrogen bonds. ConclusionDA may reduce the pathological changes in AD by regulating the PPARα-TFEB pathway.

Objective: To explore the influencing factors of recurrence in postoperative patients with renal cell carcinoma，construct machine learning prediction models and evaluate their performance. Methods: Clinical data of 915 patients with renal cell carcinoma treated in our hospital during 2013 and 2021 were retrospectively collected.The data were randomly divided into a training set (n=510) and a validation set (n=218) in a 7∶3 ratio.In the training set，LASSO regression algorithm was used to screen important variables，and machine learning prediction models were constructed to predict the recurrence risk.In the validation set，the effectiveness of the models was compared combined with the area under receiver operating characteristic curve (AUC)，accuracy rate，F1 value and other indicators. Results: LASSO regression screened out the risk factors，including smoking history，tumor size，N stage，Fuhrman grade，thrombin time and fibrinogen，based on which，the logistic model，decision tree model，random forest model，and Bayes model were constructed.In the validation set，the AUC of the above 4 models was 0.862，0.792，0.843 and 0.861，respectively; the accuracy was 0.917，0.908，0.904 and 0.927，respectively; F1 value was 0.357，0.286，0.323 and 0.600，respectively.The Bayes model had the most stable performance and best differentiation. Conclusion: In this data set，the prediction model based on Bayes algorithm has a good performance and can provide reference for clinical decision making.

The breakage pattern of unit particles during the production of oral solid dosage forms (OSD) is closely related to the quality of intermediate or final products. To accurately characterize the particles and study the evolution law of particle breakage, the Bonding model of the discrete element method (DEM) was used to investigate the breakage patterns of model parameters, particle shape and process conditions (loading mode and loading rate) on the dynamic breakage, force-time curve, breakage rate, maximum breakage size ratio and fracture strength of particles. The results showed that the particle breakage force was positively correlated with normal strength and bonded disk scale, negatively correlated with normal stiffness per unit area and tangential stiffness per unit area, and weakly correlated with tangential strength. The particle breakage rate was negatively correlated with the aspect ratio of the particles, and the maximum breakage size ratio was positively correlated with the aspect ratio of the particles; among the three loading modes, the breakage rate of compression breakage model was the largest, the breakage rate of shear breakage model was the second largest, and the breakage rate of wear breakage model was the smallest; the maximum breakage size ratio was positively correlated with the loading rate, the loading mode and the loading rate had no mutual influence on particle breakage rate, but had mutual influence on the maximum breakage size ratio. The research results will provide a theoretical basis for the shift of OSD from batch manufacturing to advanced manufacturing.

Osteoarthritis （OA） is a common degenerative joint disease with a rising incidence rate year by year. Treatment often relies on analgesics and non-steroidal anti-inflammatory drugs （NSAIDs）， which can lead to gastrointestinal damage with long-term use and the recurrence of symptoms. Chinese medicine has a long history of preventing and treating OA， with widespread application and fewer side effects. It offers unique advantages such as a broad treatment scope， multiple targets， and pathways. The effective components of Chinese medicine can reduce the content of reactive oxygen species （ROS）， relieve oxidative stress （OS） damage， and increase the antioxidant capacity of the body by interfering with the expression of biomarkers of OS response such as malondialdehyde （MDA） and superoxide dismutase （SOD）. Through the modulation of signaling pathways such as nuclear factor E₂-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1）， phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）， nuclear factor kappa B （NF-κB）， c-Jun N-terminal kinase （JNK）， NOD-like receptor protein 3 （NLRP3）， and osteoprotegerin （OPG）， they downregulated the expression of inflammatory factors such as interleukin-6 （IL-6）， interleukin-1β （IL-1β）， and tumor necrosis factor-α （TNF-α）， thereby effectively relieving local joint inflammation， protecting chondrocytes and bone tissue， inhibiting chondrocyte apoptosis， and further alleviating the progression of OA. Currently， there are still certain limitations in the medical research status and development trends of OA， necessitating the continued advancement of traditional Chinese medicine. This paper reviewed the literature on the regulation of OS response by effective components of Chinese medicine for the prevention and treatment of OA， providing new directions and ideas for future research.

Objective:To summarize the characteristics of autosomal recessive axonal neuropathy with neuromyotonia (ARAN-NM) caused by HINT1 gene mutation. Methods:Retrospective case summary.Clinical data of 2 Tibetan siblings diagnosed with ARAN-NM in the Department of Pediatrics of Peking University First Hospital in August 2023 were retrospectively analyzed.A review of literature reporting relevant Chinese patients was conducted.Results:The proband and her elder brother were aged 13 and 19, respectively.Both developed abnormal gait at the age of 11, followed by varus, claudication, and weak thumb strength.The proband also had neuromyotonia.Physical examinations showed that the proband and her elder brother had decreased muscle strength of the extremities, mainly in the thumbs and distal ends of lower limbs.The distal muscles of the proband′s lower extremities and the muscles of both hands of the proband′s elder brother were atrophied.Both feet showed talipes equinovarus in the proband and her elder brother.The proband′s electromyography (EMG) showed peripheral nerve injuries (motor and sensory axonal involvement, especially in distal ends) and myotonic potentials.The trio-whole exon sequencing detected homozygous pathogenic variation in HINT1 gene in both the proband and her elder brother, who were diagnosed as ARAN-NM based on c. 169A>G (p.K57E). After the Carbamazepine treatment, the proband′s neuromyotonia, numbness and weakness were relieved.Both the proband and her elder brother underwent orthopaedic surgery and rehabilitation.Their foot deformities and gait were significantly improved.Two Chinese literatures (2 patients) and four English literatures (8 patients) were retrieved.Including the proband and her elder brother in this study, there were 12 ARAN-NM patients, 10 of whom had clinical data.The ages of onset and diagnosis were 2-16 (1 case unknown) and 13-33 years old, respectively.Myasthenia was present in 9 patients, especially in distal ends.Eight patients were complicated with neuromyotonia, nine patients with muscle atrophy, seven patients with foot deformity, and two patients with sensory disturbance.Creatine kinase(CK) was elevated in all 9 patients tested or CK.EMG showed neurogenic injuries in all patients and neuromyotonia discharge in six patients.Three patients were treated with Carbamazepine, and some symptoms were relieved.Missense/nonsense mutations were found in the 12 patients, and the high-frequency variation was c. 112T>C (p.C38R). Conclusions:ARAN-NM is a rare autosomal recessive neuromuscular disease caused by HINT1 gene mutation.There is no ethnic difference in clinical manifestations, mainly distal limb weakness with neuromyotonia.Carbamazepine can alleviate some symptoms, and orthopaedic surgery can improve foot deformity and gait.

ObjectiveTo evaluate the clinical effectiveness and safety of Bairui Granules （百蕊颗粒） in the treatment of acute pharyngitis with wind-heat syndrome. MethodsA multicenter， double-blind， double-simulation， randomised controlled trial was conducted， in which 162 patients with acute pharyngitis and wind-heat syndrome from 7 centers were recruited， and each center was divided into trial group and control group on the ratio of 2∶1. In the trial group， 108 cases were orally administered with Bairui Granules plus Reyanning Granules （热炎宁颗粒） simulant， and in the control group， 54 cases were orally administered with Reyanning Granules plus Bairui Granules simulant for 5 days， with a follow-up visit on the 6th day. Full analysis set （FAS） analysis and per protocol set （PPS） were used for analysis， respectively. The primary efficacy index was the disappearance rate of sore throat after 5-day treatment； the secondary efficacy indexes were the disappearance rate of sore throat after 3-day treatment， as well as the visual analogue score （VAS） of sore throat before treatment， every day during the treatment， and follow-up on day 6， and the traditional Chinese medicine （TCM） syndrome score was performed before treatment and at the follow-up on day 6. The effectiveness on TCM syndrome was evaluated at the follow-up on day 6， and the changes of vital signs， blood routine， urine routine， liver functions， kidney function， the adverse events before and after the treatment were recorded， and safety analysis set （SS） was analysed. Results162 patients entered the FAS and SS analyses， and 158 cases （105 cases in the trial group and 53 cases in the control group） entered the PPS analysis. FAS analysis showed that the disappearance rate of sore throat after 5-day treatment was 80.56% （87/108） in the trial group and 64.81% （35/54） in the control group， and the difference between groups was statistically significant （χ² = 5.10， P = 0.0239）. PPS analysis showed that the disappearance rate of sore throat after 5-day treatment was 80.00% （84/105） in the trial group and 64.15% （34/53） in the control group， and the difference between groups was statistically significant （χ² =4.85， P = 0.0277）. FAS and SS analyses both showed that the difference in disappearance rate of sore throat between groups on 3-day treatment was not statistically significant （P＞0.05）. Compared with those before treatment， the VAS scores of sore throat were lower in both groups during treatment on day 2， 3， 4， 5， and follow-up on day 6 （P＜0.01）， but the difference between groups at each time point was not statistically significant （P＞0.05）. TCM syndrome scores of both groups at the follow-up were lower than that before treatment， and those of the trial group were lower than those of the control group （P＜0.01）. The cure rate and effective rate of TCM syndrome of the trial group were significantly higher than those of the control group （P＜0.01）. There was no significant difference in blood routine， urine routine， liver function， kidney function between groups before and after treatment （P＞0.05）， and no serious adverse events occured in both groups. ConclusionBairui Granules showed clinical effectiveness in the treatment of acute pharyngitis of wind-heat syndrome， and it could significantly improve the clinical symptoms， accelerate the disappearance time of sore throat with good safety.

OBJECTIVE To optimize the steaming and processing technology of wine-steamed Taxillus chinensis， and to characterize its quality. METHODS Using the content of avicularin， quercitrin， quercetin and appearance traits as evaluation indicators， the analytic hierarchy process （AHP）-entropy weight method was used to determine the weights of each indicator， and the comprehensive scores of those indicators were used as response values. Box-Behnken response surface method was used to investigate the effects of solid-liquid ratio （g/mL）， soaking time， and steaming time on the processing technology of wine-steamed T. chinensis， optimize the best processing technology， and verify it. Fifteen batches of T. chinensis decoction pieces from different origins were used to prepare wine-steamed T. chinensis using the best processing technology， and their qualities were characterized. RESULTS The optimal processing technology for wine-steamed T. chinensis was to take 100 g of T. chinensis decoction pieces， add 20 mL of yellow wine， seal and moisten for 2 h， steam at normal pressure for 1 h， take out and dry at 50 ℃. The surface of wine-steamed T. chinensis prepared by the optimal processing technology was reddish brown or brownish， and its powder was dark brown， with a hard or brittle texture that was easy to break， and had a slight aroma of alcohol， and an astringent taste. Results of microscopic and thin-layer identification for the stem cross-section of wine-steamed T. chinensis were the same as those of raw T. chinensis. The contents of moisture， total ash and acid-insoluble ash were 3.92%-8.75%， 2.27%-5.08%， and 0.19%-0.82%， respectively； the contents of water-soluble extract were 11.28%-18.56%， and the contents of alcohol-soluble extract were 3.36%-8.58%； the contents of avicularin， quercitrin， and quercetin were 0.22-1.64， 0.26-2.45， and 0.01-0.38 mg/g， respectively. CONCLUSIONS This study successfully optimized the processing technology of wine-steamed T. chinensis and preliminarily characterized its quality， which can provide reference for the standardized processing and establishment of quality standards for wine-steamed T. chinensis decoction mail：wyl@sxtcm.edu.cn pieces.

OBJECTIVE To optimize the steaming and processing technology of wine-steamed Taxillus chinensis， and to characterize its quality. METHODS Using the content of avicularin， quercitrin， quercetin and appearance traits as evaluation indicators， the analytic hierarchy process （AHP）-entropy weight method was used to determine the weights of each indicator， and the comprehensive scores of those indicators were used as response values. Box-Behnken response surface method was used to investigate the effects of solid-liquid ratio （g/mL）， soaking time， and steaming time on the processing technology of wine-steamed T. chinensis， optimize the best processing technology， and verify it. Fifteen batches of T. chinensis decoction pieces from different origins were used to prepare wine-steamed T. chinensis using the best processing technology， and their qualities were characterized. RESULTS The optimal processing technology for wine-steamed T. chinensis was to take 100 g of T. chinensis decoction pieces， add 20 mL of yellow wine， seal and moisten for 2 h， steam at normal pressure for 1 h， take out and dry at 50 ℃. The surface of wine-steamed T. chinensis prepared by the optimal processing technology was reddish brown or brownish， and its powder was dark brown， with a hard or brittle texture that was easy to break， and had a slight aroma of alcohol， and an astringent taste. Results of microscopic and thin-layer identification for the stem cross-section of wine-steamed T. chinensis were the same as those of raw T. chinensis. The contents of moisture， total ash and acid-insoluble ash were 3.92%-8.75%， 2.27%-5.08%， and 0.19%-0.82%， respectively； the contents of water-soluble extract were 11.28%-18.56%， and the contents of alcohol-soluble extract were 3.36%-8.58%； the contents of avicularin， quercitrin， and quercetin were 0.22-1.64， 0.26-2.45， and 0.01-0.38 mg/g， respectively. CONCLUSIONS This study successfully optimized the processing technology of wine-steamed T. chinensis and preliminarily characterized its quality， which can provide reference for the standardized processing and establishment of quality standards for wine-steamed T. chinensis decoction mail：wyl@sxtcm.edu.cn pieces.

Objective To establish a deep learning model for testing the feasibility of combining magnetic resonance imaging(MRI)deep learning features with clinical features for preoperative prediction of cytokeratin 19(CK19)status of hepatocellular carcinoma(HCC).Methods A retrospective experiment was conducted based on the data of 116 HCC patients with confirmed CK19 status.A single sequence multi-scale feature fusion deep learning model(MSFF-IResnet)and a multi-scale and multi-modality feature fusion model(MMFF-IResnet)were established based on the hepatobiliary phase(HBP),diffusion weighted imaging(DWI)sequences of enhanced MRI images,and the clinical features significantly correlated with CK19 status.The classification performance of the models were evaluated to assess the effectiveness of the deep learning models for predicting CK19 status of HCC before surgery.Results Multivariate analysis showed that an increased neutrophil-to-lymphocyte ratio(P=0.029)and incomplete tumor capsule(P=0.028)were independent predictors of CK19 expression in HCC.The deep learning models improved by multi-scale feature fusion and multi-modality feature fusion methods achieved better classification results than the traditional machine learning models and baseline models,and the final MMFF-IResnet model showed the best classification performance with an AUC of 84.2%,an accuracy of 80.6%,a sensitivity of 80.1%and a specificity of 81.2%.Conclusion The multi-scale and multi-modality feature fusion model based on MRI and clinical parameters is capable of predicting CK19 status of HCC,demonstrating the feasibility of combining deep learning methods with MRI and clinical features for preoperative prediction of CK19 status.

Objective:Survival analysis of cancers' incidence data in Tianjin from 2010 to 2016 was conducted to provide the basis for formulating and evaluating regional health policies on cancer prevention and treatment.Methods:Registration data in Tianjin were used between January 1, 2010 to December 31, 2016 and patients were followed-up till 31 December, 2021. Life-table method was used to calculate the observed survival rate and Edered Ⅱ was used to calculate the relative survival rate. The data were stratified by year, gender, age group and cancer sites. Difference in survival curves between group was analyzed by Kaplan-Meier method and Log rank test. Joinpoint regression model was used to analyze the trend change.Results:The 5-year relative survival rates of cancer were 41.92% to 53.65% from 2010 to 2016 for residents in Tianjin, with an increasing trend ( t=4.81 ,P=0.005), and the average was 48.56%. The survival rate of females was higher than that of males (57.71%vs. 39.20%), and the survival rate of urban residents was higher than that of rural residents (49.38% vs. 47.24%). The 5-year relative survival rates were 63.14%, 78.39%, 58.25% and 32.67% in 0-14, 15-44, 45-64 and 65 and above age groups, respectively. The median relative survival times of all cancer were 2.34 to 6.00 years from 2010 to 2016 in Tianjin, with an increasing trend ( t=3.86, P=0.012). The average of median relative survival times was 4.11 years. The median survival time of females was longer than that of males (11.99 years vs. 2.03 years), and the time of urban residents were longer than that of rural residents (4.60 years vs. 3.43 years). The median relative survival time were 12.07, 11.92 and 1.34 years in 15-44, 45-64 and 65 and above age groups, respectively. Conclusions:The cumulative survival rate of cancer increased significantly from 2010 to 2016 in Tianjin, indicating that the prevention and treatment effect of cancer is obvious. The focus should be on male, rural areas, higher age group, and targeted prevention and treatment measures should be taken to lung, esophagus, liver, gallbladder and pancreatic cancer.