ObjectiveTo investigate the mechanism of liver injury induced by tripterygium glycosides tablets （TG） and the molecular mechanism of compound glycyrrhizin tablets （CG） in alleviating the abnormalities of cholesterol metabolism caused by TG via cholesterol metabolism. MethodsAccording to the body weights， male Sprague-Dawley （SD） rats were randomly grouped as follows： control （pure water）， low-dose TG （TG-L， 189.0 mg·kg^-1·d^-1）， high-dose TG （TG-H， 472.5 mg·kg^-1·d^-1）， TG-L+CG （189.0 mg·kg^-1·d^-1 TG + 20.25 mg·kg^-1·d^-1 CG）， and TG-H+CG （472.5 mg·kg^-1·d^-1 TG + 20.25 mg·kg^-1·d^-1 CG）， with 6 rats in each group. Rats were administrated with corresponding drugs once daily for 3 weeks. At the end of the last administration， the mRNA and protein levels of liver X receptor-alpha （LXR-α）， low-density lipoprotein receptor （LDLR）， adenosine triphosphate-binding cassette transporter A1 （ABCA1）， adenosine triphosphate-binding cassette transporter G1 （ABCG1）， 3-hydroxy-3-methylglutaryl coenzyme A reductase （HMGCR）， cholesterol 7α-hydroxylase （CYP7A1）， cholesterol 12α-hydroxylase （CYP8B1）， and sterol 27-hydroxylase （CYP27A1） in the liver tissue were determined by Real-time PCR and Western blotting， respectively. The level of 3-hydroxy-3-methylglutaryl coenzyme A reductase （HMG-CoAR）， a regulatory enzyme of cholesterol synthesis， was measured by enzyme-linked immunosorbent assay （ELISA）. HepG2 cells were used to observe the effect of TG on the cell proliferation in vitro. Specifically， HepG2 cells were grouped as follows： Low-dose TG （TG-l， 15 mg·L^-1）， medium-dose TG （TG-m， 45 mg·L^-1）， high-dose TG （TG-h， 135 mg·L^-1）， fenofibrate （FB， 10 μmol·L^-1）， CG extract， TG-h+FB （135 mg·L^-1 TG + 10 μmol·L^-1 FB）， TG-m+FB （45 mg·L^-1 TG + 10 μmol·L^-1 FB）， TG-l+FB （15 mg·L^-1 TG + 10 μmol·L^-1 FB）， TG-h+CG （135 mg·L^-1 TG + 60 μmol·L^-1 CG）， TG-m+CG （45 mg·L^-1 TG + 60 μmol·L^-1 CG）， and TG-l+CG （15 mg·L^-1 TG + 60 μmol·L^-1 CG）. The mRNA and protein levels of LXR-α， ABCG1， LDLR， CYP7A1， CYP8B1， and CYP27A1 in HepG2 cells were determined by Real-time PCR and Western blotting， respectively. ResultsThe rat experiment showed that compared with the control group， the TG-H group showed down-regulated mRNA levels of CYP7A1， CYP8B1， and CYP27A1 in the liver tissue （P<0.05， P<0.01）， which were up-regulated by the application of CG （P<0.05， P<0.01）， and the TG-H+CG group showed up-regulated mRNA level of LDLR （P<0.01）. Compared with the control group， the TG-L and TG-H groups showed down-regulated protein levels of LDLR， CYP7A1， and CYP8B1 in the liver tissue （P<0.05， P<0.01）. In addition， the protein levels of ABCG1 and LXR-α were down-regulated in the TG-H and TG-L groups， respectively （P<0.05）. Compared with TG alone， TG+CG up-regulated the protein levels of ABCG1 and LDLR （P<0.05， P<0.01）， and the protein levels of CYP7A1 and CYP8B1 in the TG-H+CG group were up-regulated （P<0.05， P<0.01）. The cell experiment showed that compared with the control group， the TG-h group presented up-regulated mRNA level of LXR-α （P<0.01）， and the TG-m and TG-h groups showcased down-regulated mRNA levels of LDLR and CYP7A1 （P<0.01） and up-regulated mRNA level of CYP27A1 （P<0.01） in HepG2 cells. The combination of CG with TG restored the above changes （P<0.01）. Western blotting results showed that compared with the control group， the TG-m and TG-h groups showed down-regulated protein levels of LXR-α， ABCG1， LDLR， CYP7A1， CYP8B1， and CYP27A1 in HepG2 cells （P<0.01）. Compared with the TG-h group， the TG-h+CG group showed up-regulated protein level of LDLR （P<0.05）. Compared with the TG-m group， the TG-m+CG group showcased up-regulated protein levels of LDLR， ABCG1， CYP7A1， and CYP27A1 （P<0.05， P<0.01）. ConclusionThe administration of TG at 189.0， 472.5 mg·kg^-1 for 3 weeks could modulate the signaling pathways associated with cholesterol efflux， endocytosis， and cholesterol biotransformation in hepatocytes， leading to the accumulation of cholesterol and subsequent liver injury in rats. CG could ameliorate the liver injury induced by lipid metabolism disorders caused by TG by up-regulating the expression of LXR-α， LDLR， ABCG1， CYP7A1， CYP8B1， and CYP27A1 to promote cholesterol biotransformation.

OBJECTIVE: To analyze the acupoint selection patterns and core prescriptions of acupuncture for polycystic ovary syndrome (PCOS) using data mining, and to explore the molecular mechanisms of core acupoints through network acupuncture medicine. METHODS: The randomized controlled trials (RCTs) on acupuncture for PCOS published from January 1, 2004 to July 21, 2024 were retrieved from CNKI, VIP, Wanfang, PubMed, and Web of Science databases. R software (version 4.4.0) was used for acupoint frequency and association rule analysis to identify core acupoint prescriptions. Potential targets were predicted via the STITCH and Swiss Target Prediction databases, and a "core prescription-active compounds-targets- PCOS" network was constructed. Cytoscape 3.7.1 was applied to build protein-protein interaction (PPI) networks of potential targets of core acupoint prescriptions. Key therapeutic targets were subjected to gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses using the DAVID and Microbioinformatics platforms. RESULTS: A total of 176 RCTs were included, covering 208 prescriptions and 89 acupoints. The five most frequently used acupoints were Guanyuan (CV4), Sanyinjiao (SP6), Zigong (EX-CA1), Zusanli (ST36) and Zhongji (CV3). Association rule analysis yielded 13 core acupoint combinations, with Guanyuan (CV4), Sanyinjiao (SP6), Zigong (EX-CA1) and Zusanli (ST36) as the core prescription. Twenty-seven active compounds were involved, with 852 potential therapeutic targets, among which 208 targets overlapped with PCOS-related targets. Network acupuncture medicine analysis suggested that the core prescription may act through targets such as estrogen receptor 1 (ESR1), proto-oncogene tyrosine-protein kinase Src (SRC), signal transducer and activator of transcription 3 (STAT3), peroxisome proliferator-activated receptor gamma (PPARG), and RAC-alpha serine/threonine-protein kinase (AKT1). GO and KEGG analyses indicated that the main pathways included the hypoxia-inducible factor 1 (HIF-1) signaling pathway, phosphatidylinositol 3-kinase-protein kinase B (PI3K-AKT) signaling pathway, and advanced glycation end products-receptor for advanced glycation end products (AGE-RAGE) signaling pathway, involving processes such as signal transduction, receptor complex formation, and cytokine activity. CONCLUSION The core acupoint prescription for PCOS might exert therapeutic effects through multiple targets and pathways, providing a theoretical basis for mechanistic research on acupoint prescriptions.
Humans ; Acupuncture Therapy ; Data Mining ; Acupuncture Points ; Polycystic Ovary Syndrome/metabolism* ; Female ; Protein Interaction Maps ; Randomized Controlled Trials as Topic

Proteolysis-targeting chimeras (PROTACs) represent a promising class of drugs that can target disease-causing proteins more effectively than traditional small molecule inhibitors can, potentially revolutionizing drug discovery and treatment strategies. However, the links between in vitro and in vivo data are poorly understood, hindering a comprehensive understanding of the absorption, distribution, metabolism, and excretion (ADME) of PROTACs. In this work, ¹⁴C-labeled vepdegestrant (ARV-471), which is currently in phase III clinical trials for breast cancer, was synthesized as a model PROTAC to characterize its preclinical ADME properties and simulate its clinical pharmacokinetics (PK) by establishing a physiologically based pharmacokinetics (PBPK) model. For in vitro-in vivo extrapolation (IVIVE), hepatocyte clearance correlated more closely with in vivo rat PK data than liver microsomal clearance did. PBPK models, which were initially developed and validated in rats, accurately simulate ARV-471's PK across fed and fasted states, with parameters within 1.75-fold of the observed values. Human models, informed by in vitro ADME data, closely mirrored postoral dose plasma profiles at 30 mg. Furthermore, no human-specific metabolites were identified in vitro and the metabolic profile of rats could overlap that of humans. This work presents a roadmap for developing future PROTAC medications by elucidating the correlation between in vitro and in vivo characteristics.

Proteolysis-targeting chimeras(PROTACs)represent a promising class of drugs that can target disease-causing proteins more effectively than traditional small molecule inhibitors can,potentially revolu-tionizing drug discovery and treatment strategies.However,the links between in vitro and in vivo data are poorly understood,hindering a comprehensive understanding of the absorption,distribution,metabolism,and excretion(ADME)of PROTACs.In this work,14C-labeled vepdegestrant(ARV-471),which is currently in phase Ⅲ clinical trials for breast cancer,was synthesized as a model PROTAC to characterize its preclinical ADME properties and simulate its clinical pharmacokinetics(PK)by estab-lishing a physiologically based pharmacokinetics(PBPK)model.For in vitro-in vivo extrapolation(IVIVE),hepatocyte clearance correlated more closely with in vivo rat PK data than liver microsomal clearance did.PBPK models,which were initially developed and validated in rats,accurately simulate ARV-471's PK across fed and fasted states,with parameters within 1.75-fold of the observed values.Human models,informed by in vitro ADME data,closely mirrored postoral dose plasma profiles at 30 mg.Furthermore,no human-specific metabolites were identified in vitro and the metabolic profile of rats could overlap that of humans.This work presents a roadmap for developing future PROTAC medications by elucidating the correlation between in vitro and in vivo characteristics.

Objective:To investigate the risk factors of postoperative recurrence in patients with primary brain glioma and to construct a prediction model.Methods:A total of 98 patients with primary brain glioma treated by radical surgery in Nanchong Central Hospital from January 2018 to January 2021 were retrospectively included, and were divided into recurrent group (40 cases) and non-recurrent group (58 cases) according to whether there was recurrence or not during the follow-up period. The independent influencing factors for postoperative recurrence in patients with primary brain glioma were evaluated by multivariate logistic regression. Logistic prediction model of postoperative recurrence risk of patients with primary brain glioma was established, and the predictive efficacy of each index was calculated by receiver operator characteristic (ROC) curve.Results:There were statistically significant differences between recurrent group and non-recurrent group in glioma World Health Organization (WHO) grade ( χ2=12.48, P<0.001), isocitrate dehydrogenase (IDH) 1/2 mutation ( χ2=13.24, P<0.001), mean platelet volume (MPV) ( t=5.34, P<0.001), and MPV/platelet count (PLT) ( t=9.73, P<0.001). Multivariate analysis showed that WHO grade Ⅲ-Ⅳ ( OR=8.54, 95% CI: 1.62-44.99, P=0.011), IDH1/2 wild type ( OR=9.08, 95% CI: 1.68-49.19, P=0.010), low MPV ( OR=0.46, 95% CI: 0.21-0.99, P=0.048) and low MPV/PLT ( OR=0.02, 95% CI: 0.01-0.03, P<0.001) were independent risk factors for postoperative recurrence in patients with primary brain glioma. The logistic prediction model based on the above indicators was logit ( P) =11.78+2.15×WHO grade+2.21×IDH1/2 mutation situation-0.78×MPV-200.70×MPV/PLT ( R2=0.785). The ROC curve analysis results showed that WHO grade, IDH1/2 mutation, MPV, MPV/PLT, and logistic prediction model P-value could all be used to predict the risk of postoperative recurrence in patients with primary brain glioma; The areas under the curve were 0.681, 0.684, 0.783, 0.920 and 0.964, respectively. In the area under ROC curve comparison of each indicator, the predictive performance of the logistic regression model P-value was significantly higher than that of other indicators (all P<0.05) . Conclusion:Postoperative recurrence in patients with primary brain glioma may be related to glioma WHO grade, IDH1/2 mutation and platelet related laboratory indexes. The model constructed based on the above indicators can be used to predict the recurrence risk in patients with primary brain glioma after surgery.

Hip fracture in the elderly is characterized by high incidence, high disability rate, and high mortality and has been recognized as a public health issue threatening their health. Surgery is the preferred choice for the treatment of elderly patients with hip fracture. However, lower extremity deep venous thrombosis (DVT) has an extremely high incidence rate during the perioperative period, and may significantly increase the risk of patients′ death once it progresses to pulmonary embolism. In response to this issue, the clinical guidelines and expert consensuses all emphasize active application of comprehensive preventive measures, including basic prevention, physical prevention, and pharmacological prevention. In this prevention system, basic prevention is the basis of physical and pharmacological prevention. However,there is a lack of unified and definite recommendations for basic preventive measures in clinical practice. To this end, the Orthopedic Nursing Professional Committee of the Chinese Nursing Association and Nursing Department of the Orthopedic Branch of the China International Exchange and Promotive Association for Medical and Health Care organized relevant nursing experts to formulate Expert consensus on perioperative basic prevention for lower extremity deep venous thrombosis in elderly patients with hip fracture ( version 2024) . A total of 10 recommendations were proposed, aiming to standardize the basic preventive measures for lower extremity DVT in elderly patients with hip fractures during the perioperative period and promote their subsequent rehabilitation.

Objective:To explore the blocking effect of temporary epiphysiodesis technique with "8"-plate in the treatment of leg length discrepancy (LLD) in children.Methods:From January 2013 to July 2020, 49 children (27 males and 22 females) with leg length discrepancy treated with "8"-plate in Pediatric Orthopedics Department of Beijing Jishuitan hospital were analyzed retrospectively. The average age at the time of surgery was 8.8±2.6 years (ranging from 3.8 to 13.1 years). The length difference between femur and tibia was measured before operation on full-length X-ray films of lower limbs, and the "8"-plate was placed on both medial and lateral sides of the distal femur and/or the proximal tibia. During the follow-up, the shape of epiphyseal plate and internal fixation change were evaluated on X-ray films of the knee joint, and the length difference before and after the operation was compared to evaluate the blocking effect. The blocking rate was compared according to the following conditions: the blocking position (femur, tibia), classification of LLD (constant or increasing), screw diameter (3.5 mm or 4.5 mm) and the age at operation (≥8 or <8 years).Results:49 patients were successfully operated. The follow-up time was 39.6±18.5 months (range 16-91 months) with the fixing time of 24.3±11.8 months (range 7-66 months). A total of 76 independent data of single bone were obtained. The correction range was 8.6±6.4 mm (range -8-37 mm). The correction rate was 0.35±0.31 mm/month. The correction rate of 52 femurs was 0.41±0.32 mm/month, which was significant higher than that of 24 tibias with 0.20±0.14mm/month ( t=5.323, P=0.008). The correction rate of the constant group with 0.54±0.32 mm/month was obviously better than the increasing group with 0.26±0.21 mm/month ( t=7.362, P=0.001). The average correction rate of 4.5 mm diameter screw group was 0.46±0.23 mm/month, which was significantly better than that of 3.5 mm diameter screw group with 0.26±0.24 mm/month ( t=3.467, P=0.022). The correction rate in the group of <8 years old was 0.32±0.25 mm/month, which was not significantly different from that in the group of ≥8 years old with 0.37±0.31 mm/month ( t=1.026, P=0.548). Conclusion:The blocking effect of "8" -plate temporary epiphysiodesis technique in the treatment of leg length discrepancy was related to the LLD classification and blocking position. Distal femoral block was better than proximal tibia block. Block effect of patients with constant unequal distance between lower limbs was better than that of patients with increased distance. 4.5 mm diameter screw was better than 3.5mm. Because the blocking effect was slow, early treatment and a firm stick to indications was of great importance.

Objective To design and optimize the detection system for cerebral hemorrhage for overcoming the limitations in microwave detection system,such as expensive equipment,complex antenna gating switch system and redundant antenna channels.Methods The system adopted the simplest patch antenna structure,optimized the antenna gating switch system and reduced the number of channels by radiofrequency switch chip strategy.The simulated cerebral hemorrhage was sampled and detected through the optimized detection system;and pattern recognition method was used to distinguish whether there was cerebral hemorrhage.Results XGBoost algorithm model showed superior performance in the task of cerebral hemorrhage recognition,with an accuracy of 1.000 on the test set,an average accuracy of 0.973 in K-fold cross-validation,and an accuracy of 0.996 on the training set.Conclusion The optimized cerebral hemorrhage detection system which has high detection accuracy and reliability has the potential to identify cerebral hemorrhage.

Objective:To investigate the metabolism-related proteins and their presence in the plasma of female androgenetic alopecia (FAGA) patients.Methods:From March 2021 to March 2023, FAGA patients aged 18-50 (FAGA group) and healthy women (HC group) were recruited from the Dermatology Outpatient Department of Huashan Hospital. 3 ml of peripheral venous blood was collected from each participant and centrifuged to obtain plasma. Olink proteomics analysis was performed on the collected plasma, differentially expressed proteins were screened with R language, the diagnostic accuracy of the differentially expressed proteins was assessed using receiver operating characteristic (ROC) curve. Gene ontology (GO) analysis was performed on differentially expressed proteins. Immunofluorescence analysis on hair follicles in the parietal region of the FAGA group and the occipital region of the HC group was performed to validate the differentially expressed proteins identified. SPSS 25.0 software was used to analyze the data, with normal distribution metric data represented by Mean±SD. Student’s t-test was used to compare the basic information of two groups of subjects and the relative fluorescence intensity of differentially expressed proteins in hair follicles. Pearson correlation analysis was performed on plasma metabolism-related proteins and the basic information of subjects. P<0.05 indicates a statistically significant difference. Results:Sixty-one cases were included in the FAGA group, with an average age of (33.8±7.4) years and an onset age of (29.5±7.8) years. Among them, 38 cases were mild FAGA, 14 cases were moderate, and 9 cases were severe. Twenty-seven cases were included in the HC group, with an average age of (32.0±7.7) years. There was no statistically significant difference in the basic information (age, body mass index, testosterone, 25-hydroxyvitamin D, uric acid, and ferritin levels) between the two groups of subjects ( P>0.05). Compared to the HC group, the plasma of the FAGA group showed 26 significantly upregulated differentially expressed proteins ( P<0.05), with AHCY and NECTIN2 exhibiting the most significant differences (all P=0.003). The ROC curve evaluation revealed that the area under the curve for AHCY and NECTIN2 was greater than 0.7, indicating good diagnostic accuracy. The GO analysis revealed that the differentially expressed proteins were primarily enriched in the BAT3 complex (cellular component), ubiquitin-dependent ERAD pathway, natural killer cell activation (biological process), as well as ubiquitin protein ligase binding and ubiquitin-specific protease binding (molecular function). Pearson correlation analysis revealed that AHCY ( r=-0.23, P=0.010) and NECTIN2 ( r=-0.31, P=0.033) were negatively correlated with the severity of hair loss in FAGA patients. The results of hair follicle immunofluorescence analysis showed that the relative fluorescence intensity of AHCY and NECTIN2 in the FAGA group was higher than that in the HC group ( P<0.05). In other words, both AHCY and NECTIN2 were upregulated in the FAGA group. Conclusion:Metabolism-related proteins play an important role in FAGA. AHCY and NECTIN2 may serve as early diagnostic biomarkers for FAGA.