ObjectiveTo carry out a health technology assessment （HTA） of acupuncture for secondary dysmenorrhea （SD） caused by adenomyosis and endometriosis， in order to provide a reference for relevant medical decision-making. MethodsFrom the perspective of the health system， the assessment covers seven areas， including the technical characteristics， safety， effectiveness， economics， ethical fairness， organizational adaptability， and impact on patients and society. The results are reported accordingly. ResultsThe operational specifications of acupuncture are standardized， and the conditions for its use are clearly defined. Acupuncture has a lower overall incidence of adverse events. The main adverse events are localized pain， subcutaneous bleeding， and dizziness， with most symptoms being mild， all of which have corresponding standard treatments. No reports on occupational or environmental safety were found， and the safety operation specifications are available for reference. Compared with conventional Western medicine， acupuncture demonstrates higher effectiveness. Acupuncture may improve the quality of life scores of patients， though no significant difference was observed. The cost of acupuncture is higher than that of conventional Western medicine， but its overall economic value is greater. The informed consent information is relatively comprehensive. Most patients are aware of the potential benefits and risks of acupuncture and voluntarily opt for it. The treatment process fully respects patient privacy and human rights. The clinical application of acupuncture follows the current acupuncture medical service model， with no special requirements for the level of medical institutions. Patient accessibility and affordability are suitable. Patient satisfaction is high. Most patients indicated they would choose acupuncture again for SD. The main barriers to choosing acupuncture are psychological factors （such as fear of acupuncture）， cost， and transportation issues. Nearly 70% of patients receiving acupuncture treatment benefit from medical insurance reimbursement， with reimbursement rates generally above 50%， indicating strong social security support. ConclusionThe implementation of HTA for acupuncture in the treatment of SD， using the standards for traditional Chinese medicine （TCM）， is feasible. The implementation steps are clear， the data sources for each evaluation domain are adequate， the analysis methods are practical， and the evaluation results are comprehensive. Experts recommend that the findings be used as a reference for relevant medical decision-making.

ObjectiveTo investigate the effects and potential mechanisms of Tongmai Yangxin Pills （通脉养心丸） （TYPs） in preventing ischemia-reperfusion （I/R）-induced arrhythmia. MethodsSixty male SD rats were randomly assigned to sham operation group， model group， amiodarone group， low-dose and high-dose TYPs group， with 12 rats in each group. The sham operation group and the model group received 10 g/（kg·d） normal saline by gavage， the amiodarone group received 60 mg/（kg·d） amiodarone， and the low-dose and high-dose TMP groups received 1 g/（kg·d） and 2 g/（kg·d） TYPs solution respectively， for 21 days， administered twice daily. On the day after the last administration， the I/R model was established in the model and medication groups by ligation of the left anterior descending coronary artery with a cannula， while the sham operation group underwent the same procedure without ligation. Electrocardiogram recordings were continuously monitored throughout the modeling process. Heart rate was recorded at five time points， before ischemia （t-0）， 5-10 min after ischemia （t-1）， 10-15 min after ischemia （t-2）， 15-30 min after ischemia （t-3）， and during the first 2 min of reperfusion （t-4）； the incidence of arrhythmia including ventricular premature beats （VPB）， ventricular tachycardia （VT）， and ventricular fibrillation （VF） was recorded； arrhythmia scores were calculated. After 24 hours of reperfusion， left ventricular myocardial tissue was collected. Hematoxylin-eosin （HE） staining was performed to observe pathological changes. RT-PCR was used to detect the mRNA expression of microRNA-1 （miRNA-1）， microRNA-133a （miRNA-133a）， and potassium （K⁺） and calcium （Ca²⁺） ion channel-related genes including KCND2， KCNH2， KCNE2， KCNQ1， KCNE1， KCNJ2， CACNA1C， and CACNB1. Western blot analysis was used to measure protein levels of transient outward potassium current protein （Kv4.2）， rapidly activating delayed rectifier potassium current protein （HERG）， slowly activating delayed rectifier potassium current protein （KvLQT1）， inward rectifier potassium current protein （Kir2.1）， and L-type calcium channel protein （Cav1.2）. ResultsCompared with sham operation group， the model group showed diffuse myocardial hemorrhage， inflammatory cell infiltration， myocardial necrosis， nuclear pyknosis， vacuolar degeneration， and disrupted myocardial fibers； the model group also exhibited a decreased heart rate （t-1 to t-4）， increased arrhythmia scores， elevated miRNA-1 and miRNA-133a expression， and decreased mRNA expression of KCND2， KCNH2， KCNE2， KCNQ1， KCNE1， KCNJ2， CACNA1C， and CACNB1 in myocardial tissue； additionally， Kv4.2， HERG， KvLQT1， Kir2.1， and Cav1.2 protein levels significantly reduced （P＜0.01）. Compared to the model group， all medication-treated groups showed reduced myocardial damage， including less hemorrhage， reduced inflammatory infiltration， and improved myocardial structure， with the high-dose TYPs group exhibiting the most significant improvement； the amiodarone group and high-dose TYPs group showed a significant increase in heart rate （t-1 to t-4）， lower arrhythmia scores， reduced miRNA-1 and miRNA-133a expression； the high-dose TYPs group exhibited significantly increased mRNA expression levels of KCND2， KCNH2， KCNQ1， KCNJ2， and CACNA1C， as well as elevated protein levels of Kv4.2， HERG， KvLQT1， Kir2.1， and Cav1.2 （P＜0.05 or P＜0.01）. ConclusionTMPs can improve myocardial damage and reduce the incidence of ventricular arrhythmia in I/R rats. The underlying mechanism may be related to the downregulation of miRNA-1 and miRNA-133a gene expression， as well as the upregulation of K⁺ and Ca²⁺ channel-related genes and proteins.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Based on the theory of toxin in The Inner Canon of Yellow Emperor （《黄帝内经》）， this paper explores the concept and connotation of toxin from several aspects， including medicinal toxicity， pathogenic toxicity， pathoge-nesis and treatment of toxin pathogen. It explores the mechanism and significance of using toxin substances in curing and inducing diseases， sorts out the etiological and pathological evolution of toxic pathogens， clarifies the derivation and differentiation process from external toxins to internal toxins， and elucidates the interactions between toxin and other pathogenic factors such as phlegm， stasis， dampness， and fire. It further distinguishes the logical hierarchy of toxin caused by metabolic disorders such as sugar， fat， and drowning， clarifies that the essence of the etiology of "hidden toxin"， and determines the corresponding treatment principles and methods for toxic pathogens. It establishes a theoretical framework of traditional Chinese medicine toxic pathogen theory， providing theoretical basis for the clinical treatment of many diseases.

ObjectiveThis study aims to understand the recognition of practitioners in traditional Chinese medicine （TCM） hospitals on hospital-based health technology assessment （HB-HTA）， assessment needs， challenges， and suggestions， so as to provide references for the future work. MethodThe convenient sampling method was adopted to survey the relevant practitioners in TCM hospitals. The questionnaire included 39 questions in 4 dimensions and was distributed through the online platform Weijuanxing. ResultA total of 244 questionnaires were recovered， and the obtained data were analyzed in SPSS. The results showed that 137 practitioners were very familiar with HB-HTA and there was no significant difference in the recognition of practitioners in different occupations （F=0.251； P=0.778）. The practitioners in Hong Kong， Macao， and Taiwan had lower recognition than those in other regions. In terms of the assessment needs， 127 practitioners believed that it was very necessary to carry out HB-HTA in TCM hospitals in the future. Chinese patent medicines/Chinese herbal medicine decoction pieces （5.91） and TCM appropriate technology （5.57） had higher assessment priority scores. The assessment needs were high for the effectiveness （235 practitioners） and safety （224 practitioners） of health technology. The lack of specialized organization and standardized evaluation process system and the shortage of talents were considered to be the major challenges for the future development in this field. ConclusionThe stakeholders carrying out the health technology assessment in TCM hospitals had certain awareness of HB-HTA. Most practitioners believed that it was necessary to carry out HB-HTA in TCM hospitals in the future， while the work might face challenges such as the lack of organizations and system and the shortage of talents， which requires policy support.

Objective To compare the pharmacokinetic profiles of the two teriflunomide tablets in healthy Chinese subjects under fasting and fed conditions and to evaluate their bioequivalence and safety.Methods A randomized,open,single-dose,parallel trial design was used to enroll 31 and 32 healthy Chinese male subjects in the fasting and fed groups,who were randomized to a single oral dose of 14 mg of either reference or test preparation of teriflunomide tablets.The plasma concentrations of teriflunomide were determined using liquid chromatography-tandem mass spectrometry method,and Phoenix WinNonlin 8.1 software was used to calculate pharmacokinetic parameters and perform bioequivalence analysis.Results Subjects received a single oral dose of the reference and test formulations of teriflunomide.The main pharmacokinetic parameters of teriflunomide in the fasting group were as follows:Cmax were(2.14±0.27)and(2.27±0.33)μg·mL-1,AUC0-72h were(105.70±11.20)and(107.72±11.77)μg·mL-1·h,tmax was 1.49 and 0.99 h;the main pharmacokinetic parameters of teriflunomide in the fed group were as follows:Cmaxwere(1.83±0.17)and(1.75±0.22)μg·mL-1,AUC0-72h were(102.66±9.18)and(101.57±13.01)μg·mL-1·h,tmax was 4.01 and 4.99 h.The 90％confidence intervals for the geometric means of Cmax and AUC0-72h for reference and test preparations in the fasting and fed groups were in the range of 80％to 125％.Conclusion The pharmacokinetic characteristics of the 2 formulations were similar under fasting and fed administration conditions,with good bioequivalence and safety;Postprandial administration may delay the time to peak of the drug.

Objective To explore the curative effect of indobufen combined with clopidogrel and its influences on platelet activity and coagulation function in patients with acute myocardial infarction(AMI)after percutaneous coronary intervention(PCI).Methods According to different treatment methods,patients with AMI were divided into treatment group and control group.The control group was given clopidogrel(75 mg,qd)and aspirin(0.1 g,qd),while treatment group was given clopidogrel(75 mg,qd)and indobufen tablets(0.1 g,bid).All were treated for 1 month.The curative effect,platelet count(PLT),mean platelet volume(MPV),prothrombin time(PT),fibrinogen(FIB)and D-dimer(D-D)before and after treatment,and adverse events within 1 month after medication were compared between the two groups.Results There were 38 cases in treatment group and 43 cases in control group.After treatment,curative effect in treatment group and control group were 97.37％and 86.05％,PLT were(167.89±43.62)× 109·L-1 and(183.73±49.81)× 109·L-1,MPV were(11.86±2.31)and(10.97±2.16)fl,FIB levels were(2.53±0.61)and(2.78±0.72)g·L-1,D-D levels were(0.20±0.06)and(0.22±0.07)mg·L-1,PT were(12.82±2.35)and(12.26±2.28)s,the difference was not statistically significant(all P＞0.05).The incidence of adverse drug reactions in treatment group and control group were 2.63％and 11.63％,and the difference was statistically significant(P＜0.001).Conclusion Indobufen combined with clopidogrel has the comparable curative effect and good anti-platelet aggregation effect as aspirin,and indobufen has higher safety.So it is recommended as the medication regimen for AMI patients after PCI.

Objective To explore the molecular mechanism of Gualou Guizhi decoction which regulates the interferon regulator factor 5(IRF5)signaling pathway to inhibit M1 type microglia activation and reduce the inflammatory response to protect damaged nerve cells.Methods Microglia(BV2)cells were randomly divided into BV2-control,BV2-model,BV2-experimental-L,-M,-H groups.The BV2-control group was given routine culture;the BV2-model group used 100 ng·mL-1 lipopolysaccharide(LPS)to stimulate BV2 which establish an inflammatory model;the BV2-experimental-L,-M,-H groups were cultured in 50,100,200 μg·mL-1 GLGZD and 100 ng·mL-1 LPS.The HT22 cells were divided into the HT-22-blank group,HT-22-model group,HT-22-control group and HT-22 experimental group.HT-22-blank group were conventional culture;HT-22-model group were oxygen glucose deprivation was performed for 2 h,then the complete medium was replaced for 24 h;HT-22-control group were after 2 h of oxygen glucose deprivation,the 100 ng·mL-1 LPS conditioned medium was replaced and incubated for 24 h;HT-22-experimental group were after 2 h of oxygen glucose deprivation,the 200 μg·mL-1 GLGZD conditioned medium was added for 24 h.Interleukin-12(IL-12)and IL-23 were detected by enzyme-linked immunosorbent assay(ELISA);the protein of IRF5,cluster differentiation 16(CD1 6)and MHC class Ⅱ(MHC-Ⅱ)was detected by Western blot;the expression of the synaptic marker protein class Ⅲ β-Tubulin(Tuj-1)was observed by immunofluorescence.Results IL-12 contents in the BV2-control,BV2-model and BV2-experimental-L,-M,-H groups were(2.62±1.02),(10.67±3.22),(6.87±1.61),(3.96±1.22)and(3.36±1.04)pg·mL-1;IL-23 contents were(20.40±2.04),(77.08±3.25),(76.28±3.75),(63.96±4.94)and(54.48±3.34)pg·mL-1;relative expression levels of IRF5 protein were 0.80±0.41,2.22±0.69,1.11±0.11,0.92±0.39 and 0.65±0.29;relative expression levels of CD16 protein were 0.69±0.45,1.91±0.52,1.42±0.22,1.04±0.15 and 0.67±0.30;relative expression levels of MHC-Ⅱ protein were 0.89±0.27,1.96±0.19,1.34±0.38,1.15±0.19 and 0.68±0.24.BV2-experimental-M,-H groups were compared with the BV2-model group,the differences were statistically significant(all P＜0.05).The Tuj-1 protein expression levels were 28.85±6.69,14.44±1.98,7.75±1.12 and 20.05±3.54,determined in the HT22-blank,HT22-model,HT22-control and HT22-experimental groups.The HT22-experimental group was compared with the HT22-control group,the difference was statistically significant(P＜0.05).Conclusion GLGZD may reduces the activation of microglia M1 phenotype through IRF5 signaling pathway,and then inhibits inflammatory response to protect damaged nerve cells.