ObjectiveTo construct and validate a clinical prediction model for Qi deficiency and blood stasis syndrome in chronic heart failure （CHF），aiming to assist clinical diagnosis and provide tools and methods for individualized treatment of CHF. MethodsThe clinical data of patients with chronic heart failure treated at Dongzhimen Hospital of Beijing University of Chinese Medicine from January 2022 to January 2024 were retrospectively collected. The patients were randomly divided into a training group and a validation group with a ratio of 7∶3. First， the least absolute shrinkage and selection operator （LASSO） regression analysis was used to preliminarily screen the predictive factors affecting the diagnosis of Qi deficiency and blood stasis syndrome in CHF. Subsequently， the Logistic regression method was applied to conduct a more in-depth and detailed analysis of these factors. Variables with P<0.05 in the results of the multi-factor Logistic regression were carefully selected and included. Based on the regression coefficients obtained from this analysis， a model was constructed， and a nomogram was accurately drawn. Using R software，the receiver operating characteristic （ROC） curve，calibration curve，and decision curve analysis （DCA） were precisely drawn. These analyses were used to comprehensively evaluate the model from three crucial aspects： discrimination，calibration，and clinical applicability. Additionally， the accuracy，specificity，sensitivity，positive predictive value，and negative predictive value of the model were meticulously calculated to conduct a more all-round and comprehensive assessment. ResultsIn total， 168 cases were successfully obtained in the training group， and 71 cases were included in the validation group. After a thorough comparison， it was found that there were no statistically significant differences in the baseline data between the two groups. After being rigorously screened by the LASSO-multivariate logistic regression method， dark red tongue，smoking history，cardiac troponin I，and N-terminal pro-B-type natriuretic peptide （NT-ProBNP） were identified as the influencing factors for diagnosing patients with the Qi deficiency and blood stasis syndrome in CHF. The constructed model demonstrated an area under the curve （AUC） of 0.812 in the training group and 0.719 in the validation group. The calibration curve showed that the predicted curve of the model was close to the actual observed curve. DCA indicated that the model could provide substantial clinical benefits for patients at the decision thresholds ranging from 0.2 to 0.9. ConclusionThe clinical prediction model for Qi deficiency and blood stasis syndrome in chronic heart failure constructed in this study shows good performance. It has certain application value in clinical practice， which may contribute to the improvement of the diagnosis and treatment of CHF patients with this syndrome.

Talents are the main force for the development of traditional Chinese medicine（TCM）， and the construction of TCM talents and the reformation of talent evaluation system are essential to promote the inheritance and innovation of TCM. At present， we are still exploring and developing in the fields of the formulation， implementation and evaluation indicators of TCM talent evaluation system. However， there are shortcomings and difficulties. For instance， insufficient stratification in the evaluation， excessive emphasis on the quantity of achievements， neglecting the quality of the achievements and the actual contribution， imperfect assessment indicators， and the weak characteristics of TCM. Therefore， national ministries and commissions have jointly issued a document requesting to break the four only and set a new standard， in order to promote the construction of a scientific and technological talent evaluation system oriented by innovation value， ability and contribution. For the evaluation of TCM clinical talents， China Association for Science and Technology commissioned China Association of Chinese Medicine to build the China Clinical Cases Library of TCM（CCCL-TCM）， which aims at collecting the most authoritative and representative TCM clinical cases and exploring the advantages of applying clinical cases as masterpiece of achievement in TCM clinical talents evaluation. CCCL-TCM can promote the construction of a talent evaluation system that is more in line with the development characteristics of TCM industry， and to carry out relevant pilot in TCM colleges and institutions across the country in order to promote the reformation of TCM talent evaluation system.

Objective To construct a precise model for identifying traditional Chinese medicine(TCM)constitutions,thereby offering optimized guidance for clinical diagnosis and treatment plan-ning,and ultimately enhancing medical efficiency and treatment outcomes. Methods First,TCM full-body inspection data acquisition equipment was employed to col-lect full-body standing images of healthy people,from which the constitutions were labelled and defined in accordance with the Constitution in Chinese Medicine Questionnaire(CCMQ),and a dataset encompassing labelled constitutions was constructed.Second,heat-suppres-sion valve(HSV)color space and improved local binary patterns(LBP)algorithm were lever-aged for the extraction of features such as facial complexion and body shape.In addition,a dual-branch deep network was employed to collect deep features from the full-body standing images.Last,the random forest(RF)algorithm was utilized to learn the extracted multifea-tures,which were subsequently employed to establish a TCM constitution identification mod-el.Accuracy,precision,and F1 score were the three measures selected to assess the perfor-mance of the model. Results It was found that the accuracy,precision,and F1 score of the proposed model based on multifeatures for identifying TCM constitutions were 0.842,0.868,and 0.790,respectively.In comparison with the identification models that encompass a single feature,either a single facial complexion feature,a body shape feature,or deep features,the accuracy of the model that incorporating all the aforementioned features was elevated by 0.105,0.105,and 0.079,the precision increased by 0.164,0.164,and 0.211,and the F1 score rose by 0.071,0.071,and 0.084,respectively. Conclusion The research findings affirmed the viability of the proposed model,which incor-porated multifeatures,including the facial complexion feature,the body shape feature,and the deep feature.In addition,by employing the proposed model,the objectification and intel-ligence of identifying constitutions in TCM practices could be optimized.

As the foremost among the four examinations in traditional Chinese medicine （TCM）， inspection and related equipment research face challenges in landing and transformation due to variations in evidence quality， lack of standardization， insufficient algorithm transparency， and poor reliability and stability of decision-making. Against the backdrop of rapid development of emerging technologies such as big data， the internet of things， and artificial intelligence， coupled with macro policy support from the government， digital and intelligent generalized inspection in TCM has emerged， with the aim of utilizing digital technologies to overcome the limitations of naked-eye inspection and comprehensively perceive and analyze facial and bodily expressions. The research in this field intelligently correlates Zang-fu organ functions with health conditions and disease progression and establishes a technical system for digital and intelligent inspection， multi-dimensional and multimodal perception， fusion analysis， and decision-making. This system aims to enhance the accuracy of disease risk warning and diagnosis， bridging the gap between inspection equipment and assistance in clinical decision-making. From an evidence-based perspective， this paper systematically examines the research ideas of digital and intelligent inspection and the development of related equipment， deeply explores how to propose clinical practice-oriented key scientific issues， comprehensively acquire and co-apply multi-dimensional data， establish precise inspection models driven by digital intelligence， optimize standards to enhance equipment interoperability and reliability， construct post-effect evaluation mechanisms to promote improvement， and actively address potential risks such as the black box nature and information security in the application of intelligent technology. This paper not only demonstrates the tremendous potential of digital technologies in improving the accuracy and clinical application efficiency of inspection but also provides new perspectives and ideas for the modernization of inspection in TCM， paving the way for the application of inspection in the global medical and health field.

In the era of evidence-based medicine, it is necessary to explore the unique advantages of traditional Chinese medicine (TCM) based on standardized technical methods and operating procedures in order to achieve the modernization and internationalization of TCM and benefit all humanity. The proposal of a three-pronged evidence system combining TCM theory, human experience and experimental evidence marks an important progress in the thinking method of the TCM evaluation system. The multi-evidence body integrated through appropriate methods provides a strong support for the clinical guideline recommendations and evidence-based health decision-making in TCM. Based on the current methodological progress of international evidence synthesis and grading, this paper proposes a novel approach for integrating multi-evidence in TCM: the MERGE framework. The aim is to establish a solid foundation for the development of this methodology and provide guidance for the advancement of evidence-based medicine framework in TCM.

In order to study the biological characteristics and whole-genome sequence of Streptococ-cus equi,a sheep-derived Streptococcus equi preserved in our laboratory was subjected to recovery,biochemical experiments,drug susceptibility tests and animal experiments,and followed by whole genome sequencing and annotation of the gene functions of the genome by using the biogenetic da-tabase.The biochemical identification results showed that this strain could ferment sugars,but the results of nitrate,catalase,V-P test,and M-R test were negative;the drug susceptibility test results showed that this strain was highly sensitive to most antibiotics and was resistant to kanaphylaxis.It was resistant to amikacin and amikacin;animal experiments showed that the lethality rate of this strain to mice was 100％,and the median lethal dose of this strain was measured to be 4.86X 106 CFU/kg.According to the pathological section results of mice,it showed that the lungs,liver,kidneys,and spleen all had varying degrees of lesions.The whole genome sequencing results showed that the total genome length of this strain is 2 272 497 bp,the G+C content was 41.1％,and it was predicted to contain 2 124 CDS regions.The RNA prediction results showed that the number of rRNA and tRNA was 15,and the number of tRNA was 57.There were four prophages and gene islands,and there were 362 pathogenicity-related genes in the VFDB database without CRISPR sequences.This study analyzed the complete genome of Streptococcus equi derived from sheep,and also provided a theoretical basis for the treatment,prevention and control of the disease.

Traumatic optic neuropathy (TON) is a common complication of craniocerebral trauma. The diagnosis and prognostic evaluation of TON mainly rely on clinical symptoms and signs of the patients and high-resolution CT results, but CT usually can not accurately evaluate the location, degree, nature and prognosis of the optic nerve injury. In recent years, emerging MRI, such as diffusion weighted imaging, diffusion tensor imaging, or diffusion kurtosis imaging, has been gradually applied in TON detection, which can more comprehensively and accurately evaluate the optic nerve microstructure and metabolic changes, therefore providing more reliable technical support for TON diagnosis and treatment. In this review, the application of MRI in diagnosis and prognosis evaluation of TON in recent years is reviewed, so as to provide reference for its clinical application and promotion.

Objective:To study the value of cell paraffin block immunohistochemistry and pleural fluid Crk like protein (CRKL) and macrophage inhibitory cytokine-1 (MIC-1) in the diagnosis of malignant pleural effusion.Methods:A total of 98 patients with pleural effusion treated in Shantou Central Hospital from February 2020 to February 2021 were retrospectively selected as the research objects, including 58 benign cases and 40 malignant cases. The levels of CRKL and MIC-1 in pleural effusion were detected by enzyme-linked immunosorbent assay. The pleural effusion was analyzed by cell paraffin block immunohistochemistry. The levels of various indexes in benign group and malignant group were compared. The diagnostic value of cell paraffin block immunohistochemistry and pleural effusion CRKL and MIC-1 for benign and malignant pleural effusion was analyzed by receiver operating characteristic (ROC) curve.Results:With pathological results as the gold standard, 54 cases of benign and 44 cases of malignant were diagnosed by cell paraffin block immunohistochemistry. The diagnostic accuracy was 75.5% (74/98) , and the sensitivity and specificity were 75.0% (30/40) and 75.9% (44/58) respectively. The levels of pleural effusion CRKL [2.84 (2.17, 3.98) ng/ml vs. 1.88 (0.94, 2.62) ng/ml], MIC-1 [2.28 (1.67, 2.98) ng/ml vs. 1.76 (1.22, 2.32) ] ng/ml] in the malignant group were higher than those in the benign group, with statistically significant differences ( Z=-4.57, P<0.001; Z=-3.09, P<0.001) . The optimal critical value of CRKL in pleural effusion for the diagnosis of malignant pleural effusion was 2.33 ng/ml, the area under the curve (AUC) was 0.76 (95% CI: 0.66-0.85) , and the sensitivity and specificity were 67.5% (27 /40) , 74.1% (43/58) . The optimal critical value of MIC-1 in pleural effusion for the diagnosis of malignant pleural effusion was 2.10 ng/ml, the AUC was 0.74 (95% CI: 0.64-0.85) , and the sensitivity and specificity were 60.0% (24/40) , 82.8% (48/58) . The AUC of MIC-1 and CRKL in pleural effusion combined with cell paraffin block immunohistochemistry for the diagnosis of malignant pleural effusion was 0.83 (95% CI: 0.75-0.91) , and the sensitivity and specificity were 85.0% (34/40) and 70.7% (41/58) . The sensitivity and AUC of combined diagnosis were significantly higher than those of CRKL and MIC-1 alone (sensitivity: χ2=4.26, P=0.046; χ2=6.27, P=0.012; AUC: Z=3.53, P<0.001; Z=4.14, P<0.001) . Conclusion:CRKL and MIC-1 in pleural effusion of patients with malignant pleural effusion are highly expressed, which can be used as indicators for the diagnosis of malignant pleural effusion. Detection combined with cell paraffin block immunohistochemistry can improve the diagnostic value of malignant pleural effusion.

Chronic heart failure (CHF) is a severe public health problem with increasing morbidity and mortality, any treatment targeting a single session is insufficient to tackle this. CHF is characterized by reduced cardiac output resulting from neurohumoral dysregulation and cardiac remodeling, which might be related to oxidative stress, inflammation, endoplasmic reticulum stress, apoptosis, autophagy, mitochondrial function, and angiogenesis. These molecular mechanisms interact with each other through crosstalk. Historically, Chinese medicinal herbs have been widely applied in the treatment of CHF, and therapeutic effects of Chinese medicinal herbs and their ingredients have been scientifically confirmed over the past decades. Traditional Chinese medicine (TCM) with multiple components can confront the different pathogenesis of CHF through multiple targets. This review analyzes commonly used TCM patent drugs and TCM decoctions that are applicable to different stages of CHF based on clinical trials. Diverse bioactive ingredients in Chinese medicinal herbs have been found to treat CHF via multiple molecular mechanisms. This review comprehensively covers the key works on the effects and underlying mechanisms of TCM, herbal ingredients and synergistic effects of constituent compatibility in treating CHF, providing additional ideas to address this threat.

Sodium-glucose cotransporter 2 (SGLT2) inhibitors reduce cardiovascular mortality in patients with diabetes mellitus but the protective mechanism remains elusive. Here we demonstrated that the SGLT2 inhibitor, Empagliflozin (EMPA), suppresses cardiomyocytes autosis (autophagic cell death) to confer cardioprotective effects. Using myocardial infarction (MI) mouse models with and without diabetes mellitus, EMPA treatment significantly reduced infarct size, and myocardial fibrosis, thereby leading to improved cardiac function and survival. In the context of ischemia and nutritional glucose deprivation where autosis is already highly stimulated, EMPA directly inhibits the activity of the Na⁺/H⁺ exchanger 1 (NHE1) in the cardiomyocytes to regulate excessive autophagy. Knockdown of NHE1 significantly rescued glucose deprivation-induced autosis. In contrast, overexpression of NHE1 aggravated the cardiomyocytes death in response to starvation, which was effectively rescued by EMPA treatment. Furthermore, in vitro and in vivo analysis of NHE1 and Beclin 1 knockout mice validated that EMPA's cardioprotective effects are at least in part through downregulation of autophagic flux. These findings provide new insights for drug development, specifically targeting NHE1 and autosis for ventricular remodeling and heart failure after MI in both diabetic and non-diabetic patients.
Animals ; Diabetes Mellitus ; Diabetes Mellitus, Type 2/drug therapy* ; Glucose ; Humans ; Mice ; Myocardial Infarction/metabolism* ; Sodium-Glucose Transporter 2 Inhibitors/therapeutic use* ; Ventricular Remodeling