arcopenia is a systemic skeletal muscle disorder characterized by a decrease in skeletal muscle mass and progressive decline in function， with multiple signaling pathways involved in its occurrence and development. Among them， the AMP-activated protein kinase （AMPK） signaling pathway， as a key pathway regulating cellular energy homeostasis， plays an important role in the regulation of skeletal muscle metabolism and functional maintenance by improving abnormalities in glucose and lipid metabolism， balancing skeletal muscle protein synthesis and degradation， improving mitochondrial function， promoting autophagy， and inhibiting inflammatory responses and oxidative stress. This article reviews the research progress on how various traditional Chinese medicine （TCM） monomers， including polyphenols， flavonoids， and terpenoids； various traditional Chinese medicine extracts， such as those from Lycium barbarum ， Asini Corii Colla， and Panax quinquefolium ， and TCM compounds， such as Guiqi zhuangjin decoction， Jianpi qiangji granules， and Qigu capsules， intervene in sarcopenia by regulating the AMPK signaling pathway to promote muscle protein synthesis， inhibit protein degradation， improve mitochondrial function， and alleviate inflammation and oxidative stress. Additionally， their molecular mechanisms are explored. The aim is to deeply elucidate the basis of TCM in the prevention and treatment of sarcopenia and to provide theoretical support for the development of related innovative drugs.

In this paper， by referring to ancient and modern literature， the textual research of Inulae Flos has been conducted to clarify the name， origin， production area， quality evaluation， harvesting， processing and others， so as to provide reference and basis for the development and utilization of famous classical formulas containing this herb. After textual research， it could be verified that the medicinal use of Inulae Flos was first recorded in Shennong Bencaojing of the Han dynasty. In successive dynasties， Xuanfuhua has been taken as the official name， and it also has other alternative names such as Jinfeicao， Daogeng and Jinqianhua. The period before the Song and Yuan dynasties， the main origin of Inulae Flos was the Asteraceae plant Inula japonica， and from the Ming and Qing dynasties to the present， I. japonica and I. britannica are the primary source. In addition to the dominant basal species， there are also regional species such as I. linariifolia， I. helianthus-aquatili， and I. hupehensis. The earliest recorded production areas in ancient times were Henan， Hubei and other places， and the literature records that it has been distributed throughout the country since modern times. The medicinal part is its flower， the harvesting and processing method recorded in the past dynasties is mainly harvested in the fifth and ninth lunar months， and dried in the sun， and the modern harvesting is mostly harvested in summer and autumn when the flowers bloom， in order to remove impurities， dry in the shade or dry in the sun. In addition， the roots， whole herbs and aerial parts are used as medicinal materials. In ancient times， there were no records about the quality of Inulae Flos， and in modern times， it is generally believed that the quality of complete flower structure， small receptacles， large blooms， yellow petals， long filaments， many fluffs， no fragments， and no branches is better. Ancient processing methods primarily involved cleaning， steaming， and sun-drying， supplemented by techniques such as boiling， roasting， burning， simmering， stir-frying， and honey-processing. Modern processing focuses mainly on cleaning the stems and leaves before use. Regarding the medicinal properties， ancient texts describe it as salty and sweet in taste， slightly warm in nature， and mildly toxic. Modern studies characterize it as bitter， pungent， and salty in taste， with a slightly warm nature. Its therapeutic effects remain consistent across eras， including descending Qi， resolving phlegm， promoting diuresis， and stopping vomiting. Based on the research results， it is recommended that when developing famous classical formulas containing Inulae Flos， either I. japonica or I. britannica should be used as the medicinal source. Processing methods should follow formula requirements， where no processing instructions are specified， the raw products may be used after cleaning.

In this paper， by referring to ancient and modern literature， the textual research of Inulae Flos has been conducted to clarify the name， origin， production area， quality evaluation， harvesting， processing and others， so as to provide reference and basis for the development and utilization of famous classical formulas containing this herb. After textual research， it could be verified that the medicinal use of Inulae Flos was first recorded in Shennong Bencaojing of the Han dynasty. In successive dynasties， Xuanfuhua has been taken as the official name， and it also has other alternative names such as Jinfeicao， Daogeng and Jinqianhua. The period before the Song and Yuan dynasties， the main origin of Inulae Flos was the Asteraceae plant Inula japonica， and from the Ming and Qing dynasties to the present， I. japonica and I. britannica are the primary source. In addition to the dominant basal species， there are also regional species such as I. linariifolia， I. helianthus-aquatili， and I. hupehensis. The earliest recorded production areas in ancient times were Henan， Hubei and other places， and the literature records that it has been distributed throughout the country since modern times. The medicinal part is its flower， the harvesting and processing method recorded in the past dynasties is mainly harvested in the fifth and ninth lunar months， and dried in the sun， and the modern harvesting is mostly harvested in summer and autumn when the flowers bloom， in order to remove impurities， dry in the shade or dry in the sun. In addition， the roots， whole herbs and aerial parts are used as medicinal materials. In ancient times， there were no records about the quality of Inulae Flos， and in modern times， it is generally believed that the quality of complete flower structure， small receptacles， large blooms， yellow petals， long filaments， many fluffs， no fragments， and no branches is better. Ancient processing methods primarily involved cleaning， steaming， and sun-drying， supplemented by techniques such as boiling， roasting， burning， simmering， stir-frying， and honey-processing. Modern processing focuses mainly on cleaning the stems and leaves before use. Regarding the medicinal properties， ancient texts describe it as salty and sweet in taste， slightly warm in nature， and mildly toxic. Modern studies characterize it as bitter， pungent， and salty in taste， with a slightly warm nature. Its therapeutic effects remain consistent across eras， including descending Qi， resolving phlegm， promoting diuresis， and stopping vomiting. Based on the research results， it is recommended that when developing famous classical formulas containing Inulae Flos， either I. japonica or I. britannica should be used as the medicinal source. Processing methods should follow formula requirements， where no processing instructions are specified， the raw products may be used after cleaning.

Objective To establish mouse models exposed to different doses of neodymium oxide via tracheal instillation,and to investigate the mechanisms underlying brain tissue damage induced by neodymium oxide exposure in mice.Methods Forty-eight male C57/BL6 mice were randomly assigned to four groups:the control group,the low-dose group,the medium-dose group,and the high-dose group.The low-dose,medium-dose,and high-dose groups received 62.5 mg/mL,125 mg/mL,and 250 mg/mL neodymium oxide,respectively,via non-exposed tracheal instillation.The control group received an equivalent volume of saline using the same administration method.After 35 days,the mice were euthanized,and brain tissues were collected.RT-PCR was used to assess the mRNA expression changes of Claudin-5 and Occludin.Western blot analysis was performed to evaluate the expression changes of Claudin-5 and Occludin tight junction proteins,as well as the expression changes of MMP-2 and MMP-9 in the brain tissues.Additionally,the expression of the RhoA/ROCK2 signaling pathway and downstream cofilin protein was examined.Changes in oxidative stress markers,including MDA,T-AOC,and NO,were measured using a kit method.Results The mRNA expression of Claudin-5 was significantly reduced in the middle-dose and high-dose groups compared to the control group(P<0.05).Similarly,the mRNA expression of Occludin was significantly lower in the low-dose,medium-dose,and high-dose groups compared to the control group(P<0.05).Additionally,the protein expression of Claudin-5,MMP-2,and Occludin was significantly decreased in the low-dose,medium-dose,and high-dose groups compared to the control group(P<0.05).The protein expression of MMP-9 and RhoA was also signifi-cantly lower in the medium-dose and high-dose groups compared to the control group(P<0.05).Furthermore,the protein expression of ROCK2 and p-cofilin in the high-dose group was significantly lower than that in the control group(P<0.05).The content of MDA and T-AOC was significantly lower in the medium-dose and high-dose groups compared to the control group(P<0.05),and the content of NO in the high-dose group was significantly lower than that in the control group(P<0.05).Conclusion Exposure to neodymium oxide results in increased permeability of the blood-brain barrier in mice,leading to oxidative stress,inflammatory responses,and activation of the RhoA/ROCK2 signaling pathway.

Objective:Serum tumor markers(STMs)are important indicators associated with metastasis in patients with breast cancer(BC).This study focuses on predicting the risk of axillary lymph node metastasis(ALNM)in patients with invasive BC in Xinjiang by combining STMs and clinicopathological factors.Methods:Data from 3,360 patients diagnosed with invasive BC and treated at the Affiliated Cancer Hospital of Xinjiang Medical University between 2015 and 2019 were analyzed,focusing on 11 relevant demographic and clinical factors.Five ma-chine learning(ML)algorithms were used to develop predictive models for ALNM.Their performance was compared using metrics such as area under the curve(AUC),accuracy,Kappa value,and Brier score.The best-performing model was then compared with a nomogram based on Logistic regression(LR)to determine the final model.Shapley additive explanations(SHAP)values were used to rank the importance of factors contributing to ALNM.Results:Of the 3,266 patients studied,1,368(41.89%)developed ALNM.Among the five constructed ML models,eXtreme gradient boosting(XGBoost)demonstrated the best predictive performance with an AUC of 0.768,an accuracy of 0.735,and a Kappa value of 0.450.In both the training and validation sets,the XGBoost model outperformed the LR-based nomogram(training set AUC and Brier score:0.822(0.810～0.820)vs.0.742(0.721～0.763),0.170(0.163～0.177)vs.0.197(0.189～0.204);validation set AUC and Brier score:0.769(0.740～0.770)vs.0.747(0.716～0.779),0.190(0.178～0.202)vs.0.195(0.189～0.204)).Therefore,XGBoost was selec-ted as the final predictive model.SHAP analysis identified T stage,age,molecular subtype,and CEA level as the four most influential factors for ALNM prediction.Conclusions:The XGBoost model effectively predicts the risk of ALNM in patients with invasive BC based on STMs and clinicopathological features,outperforming traditional nomograms.SHAP analysis highlighted T stage as the most critical factor influencing ALNM.

Objective To evaluate the value of left ventricular(LV)systolic function impairment in patients with different activity levels of systemic lupus erythematosus(SLE)by applying automatic myocardial motion quantification(aCMQ)technique,and to explore the correlation between left ventricular strain parameters and clinical laboratory indexes,systemic lupus erythematosus disease activity index(SLEDAI).Methods A total of 80 patients diagnosed with SLE from November 2023 to August 2024 in the First Afticiated Hospital of Jinzhou Medical University were selected and divided into two groups:40 cases with SLEDAI＜10points were in mild lupus group,34 cases with SLEDAI ≥ 10points were in moderately severe lupus group.Forty healthy volunteers for physical examination at the same time were randomly selected as control group,relevant parameters were obtained by conventional echocardiography and aCMQ technique respectively.Results aCMQ technique related parameters were compared,and the differences in left ventricular global longitudinal strain(LVGLS),apical two-chamber longitudinal strain(AP2LS),apical three-chamber longitudinal strain(AP3LS),and apical four-chamber longitudinal strain(AP4LS)were statistically significant in all three groups(P＜0.05).The differences in left ventricular global circumferential strain(LVGCS)in lupus moderate-severe group were statistically significant when compared with other two groups(P＜0.05),Pearson correlation analysis showed LVGLS,AP2LS,AP3LS,AP4LS and LVGCS were positively correlated with complement 3 and complement 4,and negatively correlated with anticardiolipin antibody(ACA)IgA,IgG,IgM,and sedimentation,and ultrasensitive C-reactive protein,and the SLEDAI was correlated with LVGLS,AP2LS,AP3LS,AP4LS were negatively correlated,and there was no significant correlation with LVGCS.Conclusion aCMQ technique can detect changes in LV systolic function in SLE patients at an early stage,and the impairment of LV systolic function is more severe with higher disease activity.Better correlation between LV strain parameters and clinical laboratory indexes and SLED AI may help to better assess cardiac involvement in SLE patients.

Background: Aristolochic acid II (AAII), a major nephrotoxic and carcinogenic component of aristolochic acids (AAs), has been less studied compared with its well-characterized analog, aristolochic acid I (AAI). Although AAs are known to induce carcinogenesis via DNA adduct formation, the toxicity mechanisms, environmental prevalence, and long-term health impacts of AAII remain poorly understood. Objective: This study aimed to systematically evaluate AAII’s acute and chronic toxicity, carcinogenic mechanisms, and environmental exposure patterns using integrated murine models and phytochemical analyses to clarify its toxicological profile and associated health risks. Methods: C57BL/6J mice were used in the following experiments: (1) determination of AAII content in 3 commonly used Aristolochia medicinal materials via liquid chromatography-mass spectrometry/mass spectrometry; (2) acute toxicity testing with single doses of 10, 20, or 40 mg/kg; and (3) chronic exposure with 1 or 10 mg/kg administered every other day for 24 weeks, followed by 21 to 40 weeks of postexposure monitoring. Histopathological examination, whole-exome sequencing, biochemical assays, and micronucleus tests were performed to assess multi-organ damage, tumorigenesis, genomic mutation signatures, and direct clastogenicity. Phytochemical analyses were used to evaluate environmental distribution. Results: (1) A single 40 mg/kg dose of AAII induced dose-dependent renal tubular degeneration without hepatotoxicity; (2) the 10 mg/kg group showed significant mortality (20%), tumor incidence (33.3%, primarily forestomach and bladder transitional cell carcinomas), persistent renal interstitial fibrosis, and subclinical hepatic injury. Chronic exposure to 1 mg/kg still induced 13.3% mortality and 15.5% tumor incidence over a 64-week period; (3) whole-exome sequencing revealed a predominance of C>T mutations and pathway enrichment in chemical carcinogenesis and cytochrome P450-mediated metabolism, indicating reactive metabolite-driven mechanisms distinct from classical AA-DNA adducts; and (4) no histopathological changes were observed in nontarget organs (brain, heart, and testes), and micronucleus assays confirmed the absence of direct clastogenicity. Conclusion: This study highlights the delayed carcinogenic risks of low-dose chronic AAII exposure and emphasizes the need to update regulatory frameworks to ensure the safe use of aristolochiaceae-containing herbal products.

Objective:Serum tumor markers(STMs)are important indicators associated with metastasis in patients with breast cancer(BC).This study focuses on predicting the risk of axillary lymph node metastasis(ALNM)in patients with invasive BC in Xinjiang by combining STMs and clinicopathological factors.Methods:Data from 3,360 patients diagnosed with invasive BC and treated at the Affiliated Cancer Hospital of Xinjiang Medical University between 2015 and 2019 were analyzed,focusing on 11 relevant demographic and clinical factors.Five ma-chine learning(ML)algorithms were used to develop predictive models for ALNM.Their performance was compared using metrics such as area under the curve(AUC),accuracy,Kappa value,and Brier score.The best-performing model was then compared with a nomogram based on Logistic regression(LR)to determine the final model.Shapley additive explanations(SHAP)values were used to rank the importance of factors contributing to ALNM.Results:Of the 3,266 patients studied,1,368(41.89%)developed ALNM.Among the five constructed ML models,eXtreme gradient boosting(XGBoost)demonstrated the best predictive performance with an AUC of 0.768,an accuracy of 0.735,and a Kappa value of 0.450.In both the training and validation sets,the XGBoost model outperformed the LR-based nomogram(training set AUC and Brier score:0.822(0.810～0.820)vs.0.742(0.721～0.763),0.170(0.163～0.177)vs.0.197(0.189～0.204);validation set AUC and Brier score:0.769(0.740～0.770)vs.0.747(0.716～0.779),0.190(0.178～0.202)vs.0.195(0.189～0.204)).Therefore,XGBoost was selec-ted as the final predictive model.SHAP analysis identified T stage,age,molecular subtype,and CEA level as the four most influential factors for ALNM prediction.Conclusions:The XGBoost model effectively predicts the risk of ALNM in patients with invasive BC based on STMs and clinicopathological features,outperforming traditional nomograms.SHAP analysis highlighted T stage as the most critical factor influencing ALNM.

Objective To evaluate the value of left ventricular(LV)systolic function impairment in patients with different activity levels of systemic lupus erythematosus(SLE)by applying automatic myocardial motion quantification(aCMQ)technique,and to explore the correlation between left ventricular strain parameters and clinical laboratory indexes,systemic lupus erythematosus disease activity index(SLEDAI).Methods A total of 80 patients diagnosed with SLE from November 2023 to August 2024 in the First Afticiated Hospital of Jinzhou Medical University were selected and divided into two groups:40 cases with SLEDAI＜10points were in mild lupus group,34 cases with SLEDAI ≥ 10points were in moderately severe lupus group.Forty healthy volunteers for physical examination at the same time were randomly selected as control group,relevant parameters were obtained by conventional echocardiography and aCMQ technique respectively.Results aCMQ technique related parameters were compared,and the differences in left ventricular global longitudinal strain(LVGLS),apical two-chamber longitudinal strain(AP2LS),apical three-chamber longitudinal strain(AP3LS),and apical four-chamber longitudinal strain(AP4LS)were statistically significant in all three groups(P＜0.05).The differences in left ventricular global circumferential strain(LVGCS)in lupus moderate-severe group were statistically significant when compared with other two groups(P＜0.05),Pearson correlation analysis showed LVGLS,AP2LS,AP3LS,AP4LS and LVGCS were positively correlated with complement 3 and complement 4,and negatively correlated with anticardiolipin antibody(ACA)IgA,IgG,IgM,and sedimentation,and ultrasensitive C-reactive protein,and the SLEDAI was correlated with LVGLS,AP2LS,AP3LS,AP4LS were negatively correlated,and there was no significant correlation with LVGCS.Conclusion aCMQ technique can detect changes in LV systolic function in SLE patients at an early stage,and the impairment of LV systolic function is more severe with higher disease activity.Better correlation between LV strain parameters and clinical laboratory indexes and SLED AI may help to better assess cardiac involvement in SLE patients.

Objective:To investigate the expression characteristics of Zeste enhancer of Zeste homolog 2 (EZH2) in breast cancer tissue and its influence on tumor progression and prognosis.Methods:Transcriptome data of breast cancer tissue and normal breast tissue adjacent to cancer as well as clinical data of patients were obtained from the cancer genome atlas (TCGA) database, gene expression comprehensive database and European genome phenotype archives database, and the difference of EZH2 expression was analyzed using TIMER 2.0 platform. The survival information of breast cancer patients was obtained from the Kaplan Meier Plotter database, and the overall survival time, relapse free survival time and distant metastasis free survival time of breast cancer patients with low EZH2 expression and high EZH2 expression were compared. Select 14 nude mice were selected and randomly divided into si-EZH2 group and control group, with 7 mice in each group.MCF7 culture suspensions transfected with EZH2 knockdown plasmid and control plasmid were inoculated for corresponding group. The body mass and tumor volume of two groups of nude mice inoculated with MCF7 cells were compared at different times. On the 28th day, the nude mice were euthanized and the tumors were dissected to compare the tumor mass of the two groups of nude mice. The normally distributed quantitative data was represented by xˉ ± s. Two independent sample t-tests were used for comparison between two groups, repeated measures ANOVA was used for comparison of body mass and tumor volume between two groups of nude mice at different times, and Bonferroni test was used for pairwise comparison. The comparison of survival rates was conducted using log rank test. Results:A total of 1085 breast cancer tissues and 291 normal adjacent breast tissues were included in the TCGA database. EZH2 expression in breast cancer tissues was higher than that in normal adjacent breast tissues ( P<0.05). In the Kaplan Meier Plotter database, the total survival time, relapse free survival time, and distant metastasis free survival time of breast cancer patients in the EZH2 overexpression group were shorter than those in the EZH2 low expression group ( P=0.013, <0.001, <0.001). After 7 days of inoculation with MCF7 culture suspension, significant subcutaneous tumors were observed on the left back of both groups of nude mice. On the first day, there were no statistically significant difference in body mass between the two groups of nude mice ( P>0.05); On day 7, 13, 19, 25, and 28, the body mass and tumor volume of both groups of nude mice gradually increased (nude mouse body mass: within group F=29.31, P<0.001, between groups F=234.32, P<0.001, Finteraction=16.83, P<0.001; Tumor volume: within group F=34.00, P<0.001, between groups F=193.17, P<0.001, Finteraction=35.61, P<0.001). And the body mass of the siEZH2 group nude mice was higher than that of control group (all P<0.05). On days 19, 25, and 28, tumor the volume of the siEZH2 group nude mice was smaller than that of control group (all P<0.05). On the 28th day, the mass of tumors dissected in the siEZH2 group of nude mice was lower than that in the control group [(0.30±0.07) g vs. (0.61±0.14) g, t=5.16, P<0.001]。 Conclusions:EZH2 is highly expressed in breast cancer tissues and is significantly associated with poor prognosis. Knockdown of EZH2 can significantly inhibit the proliferation and tumor formation of breast cancer cells.