Myocardial ischemia-reperfusion injury （MIRI） is a major complication following coronary revascularization. Studies indicate that its pathophysiological mechanisms of MIRI are closely associated with oxidative stress， iron overload， inflammatory responses， and lipid peroxidation. Oxidative stress refers to an imbalance in redox homeostasis under pathological conditions， characterized by the abnormal accumulation of reactive oxygen species （ROS）， which disrupts the dynamic balance between pro-oxidant systems and antioxidant defense networks. In recent years， traditional Chinese medicine （TCM） has demonstrated unique advantages in the prevention and treatment of MIRI due to its multi-target and multi-pathway antioxidant properties. Research reveals that TCM primarily exerts protective effects against oxidative stress-induced MIRI by regulating signaling pathways such as nuclear factor erythroid 2-related factor 2 （Nrf2）， adenosine monophosphate-activated protein kinase （AMPK）， phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt）， nuclear factor kappa-B （NF-κB）， Janus kinase 2/signal transducer and activator of transcription 3 （JAK2/STAT3）， and protein kinase C beta Ⅱ/nicotinamide adenine dinucleotide phosphate oxidase 2/reactive oxygen species （PKCβⅡ/NOX2/ROS）. This article reviews recent literature on TCM monomers， compound formulas， and their active components， which alleviate oxidative stress to prevent and treat MIRI by modulating the aforementioned signaling pathways. It summarizes a concise overview of the molecular mechanisms by which oxidative stress-related signaling pathways lead to MIRI， discusses how TCM regulates these pathways to reduce oxidative stress-induced MIRI， and explores clinical application prospects and research challenges， aiming to provide a theoretical reference for the research and clinical management of MIRI.

Health technology assessment(HTA)is an important tool to inform health decision-making.Although highly related to ethical issues in the context of HTA,equity has attracted much attention from the academia,a consensus has not yet been reached on how to define and evaluate equity in China and abroad.It introduces the concept of equity,pointes out the necessity to realize health equity and the reflection of equity in healthcare sector,and further elaborates four ways to consider equity,and described the official practice of equity in HTA at home and abroad.It proposes several suggestions for China's HTA:considering equity in HTA and the discussion of equity should depend on specific decision-making scenarios;clarifying what health measurement perspective should be adopted before measuring health equity;paying attention to the value judgment of equity adopted by various stakeholders;conducting basic researches on the general population's preference for health measurement perspectives and value judgments of equity in China in a gesture to improve the evaluation system of equity in HTA.

ObjectiveTo explore the possible mechanism of Osteoking （OK） on postmenopausal osteoporosis （PMOP）. MethodForty adult female mice were randomly divided into a sham operation （Sham） group， osteoporosis model （OVX） group， estradiol intervention （E₂） group， and OK group， with 10 mice in each group. The modeling was completed by conventional back double incision ovariectomy， and the corresponding drugs were given one week later. After 12 weeks， the body mass and uterine index of mice were measured， and the pathological changes of bone tissue and the number of osteoclasts （OCs） were determined by hematoxylin-eosin （HE） and tartrate-resistant acid phosphatase （TRAP） staining， respectively. Bone mineral density （BMD）， trabecular number （Tb.N）， trabecular separation （Tb.Sp）， and bone volume fraction （BV/TV） were measured by microcomputed tomography （Micro-CT）. The maximum load of the femur was detected by a three-point bending test. The contents of tumor necrosis factor-α （TNF-α） and bone resorption marker C-terminal telopeptide of type Ⅰ collagen （CTX-1） were measured by enzyme linked immunosorbent assay （ELISA）. The protein expression levels of nuclear factor-kappa B p65 （NF-κB p65）， phosphorylated nuclear factor-kappa B p65 （p-NF-κB p65）， nuclear factor kappa B inhibitor alpha （IκBα）， phosphorylated nuclear factor kappa B alpha （p-IκBα）， nuclear factor of activated T cells 1 （NFATc1）， and proto-oncogene （c-Fos） were detected by Western blot. The mRNA expressions of OCs-related specific genes matrix metalloproteinase-9 （MMP-9）， NFATc1， TRAP， cathepsin K （CTSK）， and c-Fos were detected by real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. ResultCompared with the Sham group， the uterine index decreased significantly in the OVX group， and the body mass （BMI） increased significantly. The structure of bone trabeculae was completely damaged， and the number of OCs increased. BMD， Tb.N， BV/TV， and maximum load decreased， while Tb.Sp was up-regulated. The levels of TNF-α and CTX-1 in serum were up-regulated. The protein expressions of c-Fos， p-NF-κB p65/NF-κB p65， NFATc1， and p-IκBα/IκBα were increased. The mRNA expressions of NFATc1， c-Fos， CTSK， TRAP， and MMP-9 were up-regulated （P<0.05， P<0.01）. Compared with the OVX group， the body mass of the OK and E₂ groups decreased， and the uterine index increased. The bone trabeculae increased， and the number of OCs decreased. BMD， Tb.N， BV/TV， and maximum load increased， while Tb.Sp decreased. The levels of TNF-α and CTX-1 in serum were decreased. The protein expressions of c-Fos， p-NF-κB p65/NF-κB p65， NFATc1， and p-IκBα/IκBα were decreased， and the mRNA expressions of NFATc1， c-Fos， CTSK， TRAP， and MMP-9 were decreased （P<0.05， P<0.01）. ConclusionOK can inhibit the NF-κB/NFATc1 signaling pathway and reduce bone mass loss by reducing the level of inflammatory injury factors in PMOP mice， which is one of the mechanisms for treating PMOP.

Objective: To investigate the effects of plateau environment exposure on the reproductive system of male rats, so as to provide the reference for mechanisms of reproductive damage in plateau environment. Methods: Sixty SPF-grade 12-week-old male Wistar rats were randomly divided into the plain-exposed group, the 1 day-, 3 day-, 7 day-, 14 day- and 28 day- plateau-exposed groups. The rats in the plain-exposed group were raised under normal conditions for 28 days, while the rats in the plateau-exposed groups were raised in a simulated high-altitude plateau chamber. After the completion of the designated feeding periods, the rats were sacrificed under anesthesia, and testicular tissue and abdominal aortic blood were collected to detect the testicular index and evaluate sperm quality. Histological and cellular morphologies of the testicular tissue were analyzed. Additionally, the levels of malondialdehyde (MDA), superoxide dismutase (SOD) and reactive oxygen (ROS) in the testicular tissue were determined, along with serum levels of follicle-stimulating hormone (FSH), luteinizing hormone (LH) and testosterone (T). Conclusions Plateau environment may cause a decrease in testicular index and sperm quality, impair mitochondrial function, induce oxidative stress, and thus affect reproductive system of male rats. However, there are signs of self-repair in the reproductive system with the increase of exposure duration.

Suzi Jiangqitang is one of the classical formulas in the Catalogue of Ancient Classical Formulas （the second batch）—Han Medicine. The research method of philology was employed to systematically review the ancient documents and modern medical reports of Suzi Jiangqitang. The key information of this formula， including origin， composition， compatibility， original plants， processing method， dosage， preparation method， usage， and indications， was summarized to provide literature and data support for the development and clinical application of this formula. Suzi Jiangqitang is originally known as Zusuzi Tang， which is derived from Important Prescriptions Worth a Thousand Gold for Emergency. This formula is composed of Perillae Fructus， Pinelliae Rhizoma， Peucedani Radix， Magnoliae Officinalis Cortex， Glycyrrhizae Radix et Rhizoma， Angelicae Sinensis Radix， Citri Reticulatae Pericarpium， Perillae Folium， Jujubae Fructus， Zingiberis Rhizoma Recens， and Cinnamomi Cortex. The original plants of other herbal medicines except Peucedani Radix follow those in the 2020 edition of Pharmacopoeia of the People's Republic of China. Raw materials of Angelicae Sinensis Radix， Peucedani Radix， Cinnamomi Cortex， Citri Reticulatae Pericarpium， Perillae Folium， and Jujubae Fructus are used in this formula. Perillae Fructus， Pinelliae Rhizoma， Glycyrrhizae Radix et Rhizoma， and Magnoliae Officinalis Cortex in this formula are stir-fried， processed with alumen， stir-fried， and processed with ginger， respectively， and the fresh material of Zingiberis Rhizoma Recens is used in this formula. The recommended formula is composed of 15 g Perillae Fructus， 15 g Pinelliae Rhizoma， 6 g Angelicae Sinensis Radix， 6 g Glycyrrhizae Radix et Rhizoma， 6 g Peucedani Radix， 6 g Magnoliae Officinalis Cortex， 9 g Cinnamomi Cortex， and 9 g Citri Reticulatae Pericarpium. On the basis of the recommended dosage， other herbal medicines are crushed and mixed with five pieces of Perillae Folium， one jujube， and two ginger pieces. The mixture should be decocted in 450 mL water to reach a volume of 240 mL. After removal of the residue， the decoction should be taken warm with no time limitation. In ancient times， Suzi Jiangqitang was most commonly used to treat dermatophytosis， dyspnea with cough， red eyes， blood syndrome， globus hysteriocus， and headache. In modern times， it is commonly used for treating respiratory diseases， especially chronic obstructive pulmonary disease and dyspnea with cough. In addition， this formula is used to treat circulatory and digestive diseases， such as pulmonary heart disease， constipation， and vomiting. It is also used to treat globus hysteriocus and blood syndrome. Although the range of indications is wide， the diseases treated by Suzi Jiangqitang are generally caused by excess in the upper， deficiency in the lower， and failure of Qi to ascend or descend.

ObjectiveTo analyze the current research status of the classical formulas in China and predict the future development trends， thus providing reference and suggestions for the scientific research and clinical application of classical formulas. MethodThe relevant publications were retrieved from China National Knowledge Infrastructure （CNKI） with the time interval from January 1， 2008 to August 1， 2023， and the publications were counted. CiteSpace 6.1.R6 was used for visual analysis of the authors， research institutions， and keywords. ResultA total of 847 valid publications were included in this study. The annual number of publications showed a rapid rise after 2018. The Chinese Journal of Experimental Traditional Medical Formulae was the main journal publishing the articles about ancient classical formulas in China. ZHAN Zhilai， BAI Jie， LU Tulin， FU Chaomei， and CHEN Renshou were active researchers in this field and had formed stable research teams. The China Academy of Chinese Medical Sciences and its affiliated institutions published the most articles and had close cooperation with other research institutions in China. The co-occurrence network and cluster map of keywords showed that textual research on materia medica， clinical application， quality standard， fingerprint， and mechanism of action were the core keywords. The top 3 bursts in this field were benchmark samples， quality evaluation， and origin. ConclusionThe current research on ancient classical formulas still has shortcomings such as lack of large-scale cooperation between teams and weak transformation of research achievements. At present， the research hotspots in this field mainly include textural research on key information， quality control and fingerprinting， and clinical application. The future research in this field mainly focus on benchmark samples of classical formula preparations， quality evaluation of medicinal materials， pharmacodynamic material basis， and mechanisms of classical formulas.

The clinical practice guidelines of traditional Chinese medicine （TCM） have problems such as limited clinical application and unclear implementation effects， which may be related to the lack of clinical practice evidence. To provide reliable and precise evidence for clinical practice， this article proposes a model of combining TCM guidelines with real-world study， which includes 4 steps. Firstly， during the implementation process of the guidelines， a high-quality research database is established. Secondly， the recommendations in the guidelines are evaluated based on the established database in multiple dimensions， including applicability， effectiveness， safety， and cost-effectiveness， and thus their effectiveness in practical applications can be determined. Thirdly， based on the established database， core prescriptions are identified， and the targeted populations and medication plans are determined. That is， the best treatment regimen is established based on the analysis of abundant clinical data regarding the effects of different medication frequencies， dosages， and duration on efficacy. Fourthly， the guidelines are updated according to the real-world evidence. The research based on this model can provide real-world evidence for ancient and empirical prescriptions， improving their application in clinical practice. Moreover， this model can reduce research costs and improve research efficiency. When applying this model， researchers need to pay attention to the quality of real-world evidence， ensuring that it can truly reflect the situation in clinical practice. In addition， importance should be attached to the clinical application of guideline recommendations， ensuring that doctors can conduct standardized diagnosis and treatment according to the guidelines. Finally， full-process participation of multidisciplinary experts is encouraged to ensure the comprehensiveness and scientificity of the study. In conclusion， the application of this model will contribute to the development of TCM guidelines responsive to the needs of clinical practice and achieve the goal of promoting the homogenization of TCM clinical diagnosis and treatment.

The classification of traditional Chinese medicine （TCM） syndromes is one of the core technical elements in the industry standard of Specification of Diagnosis and Therapeutic Effect Evaluation of Diseases and Syndromes in TCM. In the past，when clinical standards for TCM were formulated，the determination of TCM syndrome classification relied heavily on textbooks and expert experience，lacking systematic research. This approach thus failed to reflect the advancement and scientificity of the standards，thereby affecting their implementation and application. This article reviewed the presentation forms and technical methods of TCM syndrome classification，including the two-tier syndrome classification model with primary and secondary symptoms，as well as the application of modern literature research，ancient literature research，Delphi method，in-depth expert interviews，consensus conferences，and real-world research. When syndrome classification standards are developed，it is necessary to build upon modern literature research，adopt a mixed approach combining qualitative research and quantitative analysis results，and reach expert consensus through consensus conferences. Through systematic research，the scientificity，applicability，and coordination of TCM syndrome classification standards can be enhanced，providing guidance for the standardization of TCM.

Objective To construct a machine learning prediction model for postoperative liver injury in patients with non-liver surgery based on preoperative and intraoperative medication indicators.Methods A case-control study was conducted on 315 patients with liver injury after non-liver surgery selected from the databases developed by 3 large general hospitals from January 2014 to September 2022.With the positive/negative ratio of 1 ∶3,928 cases in corresponding period with non-liver surgery and without liver injury were randomly matched as negative control cases.These 1243 patients were randomly divided into the modeling group(n=869)and the validation group(n=374)in a ratio of 7∶3 using the R language setting code.Preoperative clinical indicators(basic information,medical history,relevant scale score,surgical information and results of laboratory tests)and intraoperative medication were used to construct the prediction model for liver injury after non-liver surgery based on 4 machine learning algorithms,k-nearest neighbor(KNN),support vector machine linear(SVM),logic regression(LR)and extreme gradient boosting(XGBoost).In the validation group,receiver operating characteristic(ROC)curve,precision-recall curve(P-R),decision curve analysis(DCA)curve,Kappa value,sensitivity,specificity,Brier score,and F1 score were applied to evaluate the efficacy of model.Results The model established by 4 machine learning algorithms to predict postoperative liver injury after non-liver surgery was optimal using the XGBoost algorithm.The area under the receiver operating characteristic curve(AUROC)was 0.916(95%CI:0.883～0.949),area under the precision-recall curve(AUPRC)was 0.841,Brier score was 0.097,and sensitivity and specificity was 78.95%and 87.10%,respectively.Conclusion The postoperative liver injury prediction model for non-liver surgery based on the XGBoost algorithm has effective prediction for the occurrence of postoperative liver injury.

BACKGROUND:Medial open wedge high tibial osteotomy is an effective procedure for preserving the knee joint in patients with medial compartmental osteoarthritis.Previous studies have demonstrated that the forgotten joint score provides a lower ceiling effect and consistency of medial open wedge high tibial osteotomy outcomes compared to traditional assessment tools. OBJECTIVE:To identify predictive factors associated with the occurrence of a forgotten joint after medial open wedge high tibial osteotomy. METHODS:117 patients with medial open wedge high tibial osteotomy who were treated at First Affiliated Hospital of Guangzhou University of Chinese Medicine were selected,including 35 males and 82 females,with an average age of 61 years.They were followed up for at least 2 years.Patients were divided into a forgotten joint group(n=28)and a non-forgotten joint group(n=89)by evaluating whether they achieved forgotten joint after surgery.Univariate and multivariate logistic regression analyses were performed with preoperative patient characteristics and surgery-related factors as potential predictors. RESULTS AND CONCLUSION:(1)There were significant differences in the proximal medial tibial angle between the two groups before surgery(P<0.05).There were significant differences in the forgotten joint score,Knee Injury and Osteoarthritis Outcome Score,knee society knee score,function score,and patients joint perception between the two groups after surgery(P<0.05).There was a significant difference between the hip-knee-ankle angle and the medial proximal tibial angle after operation(P<0.05).(2)Univariate Logistic regression analysis showed that the medial proximal tibial angle had a significant influence on the forgotten joint before operation[OR=0.755,95%CI(0.635-0.897),P<0.001].There were significant effects on the forgotten joint of hip-knee-ankle angle and medial proximal tibial angle[OR=1.546,95%CI(1.242-1.924),P<0.001;OR=0.815,95%CI(0.713-0.931),P=0.003].(3)Multivariate logistic regression analysis showed that preoperative K-L grade 1 was a favorable factor for obtaining forgotten joints.Preoperative medial proximal tibial angle and postoperative hip-knee-ankle angle were independent predictors of forgetting joints,and they had a curvilinear relationship with the probability of achieving forgetting joints.When preoperative medial proximal tibial angle increased by 1°,the probability of achieving a forgotten joint decreased by 27.7%[OR=0.723,95%CI(0.593-0.882),P<0.001].Conversely,when postoperative hip-knee-ankle angle increased by 1°,the probability of achieving a forgotten joint increased by 46.4%[OR=1.464,95%CI(1.153-1.860),P=0.002].(4)The results showed that patients with preoperative knee osteoarthritis K-L grade 1,small medial proximal tibial angle(<85.5°),and large postoperative hip-knee-ankle angle(>176.0°)were predictors of forgotten joint.