China Clinical Cases Library of Traditional Chinese Medicine is built to promote the establishment of a scientific and technological talent evaluation system oriented on innovative value， ability and contribution in the backgroud of breaking the four only and setting new standards required by the document jointly issued by several national administrations and commissions. In the process of the construction， in order to further consolidate the foundation and ensure the quality and authority of case reports， we need to fully understand the origin and development of Chinese medical cases. Therefore， we clarified the development situation of Chinese medical cases by combing the characteristics of ancient and modern case reports， comparing the differences between Chinese and western medical case reports in terms of content and writing requirements， finally formed the main points of systematic case report norms and quality evaluation system， aiming to fully explore the unique advantages of Chinese medical cases in the fields of discipline development， scientific research innovation， clinical practice and guidance， talent evaluation and training， so as to promote its innovative development in a broader direction.

In recent years， NOD-like receptor protein 3 （NLRP3） inflammasome in tumors has become a research hotspot， especially in melanoma， colorectal cancer， lung cancer， and breast cancer， and more and more evidence has shown that inflammation plays a role in the development， progression， angiogenesis， and invasion of cancer. Hepatocellular carcinoma （HCC） is the most common type of primary liver cancer， and there are still controversies over the role of NLRP3 inflammasome in the development and progression of HCC. Therefore， this article reviews the potential impact of NLRP3 inflammasome in the progression of HCC and its mechanism of action in anticancer therapy， and it is believed that NLRP3 inflammasome can be used as an effective therapeutic target for HCC patients.

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.

Emphasizing symptom efficacy is an important manifestation of the personalized diagnosis and treatment of traditional Chinese medicine （TCM）. However， in current clinical practice of TCM， there are challenges such as diverse symptom expressions， difficulty in standardization， inconsistent evaluation standards for symptom efficacy， lack of universal quantitative methods， and complexity in collecting complete and accurate symptom information. These issues hinder the full and effective utilization of symptom information. Addressing the current research status and existing problems of symptom terminology standardization， quantification and grading of symptom efficacy， and collection of symptom information， this paper proposes methodological strategies for effectively recording and utilizing TCM symptom efficacy information in the era of big data. These strategies include collecting TCM symptom information based on patient reporting， standardizing the evaluation of TCM symptom efficacy from measurement scales and evaluation dimensions， integrating TCM symptom efficacy evaluation into clinical diagnosis and treatment processes， and utilizing artificial intelligence technology to acquire and process TCM symptom efficacy information. TCM symptom efficacy evaluation strategies based on patient perspectives and artificial intelligence technology will help fully explore the value of data elements， promote the objective demonstration of the specific efficacy of TCM， and facilitate the discovery of effective patterns.

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.

Cardio-oncology is an emerging cross-discipline， which has received extensive attention and rapid development at home and abroad in recent years， while the construction of related disciplines in the field of traditional Chinese medicine （TCM） is still in its initial stage. By sorting out the construction of oncology and cardiology related disciplines at home and abroad at this stage， and clarifying the significance and main research contents of the discipline， it is proposed that the construction of TCM related disciplines should be oriented to the four main aspects， including clinical practice， scientific research， talent training and promotion of cultural characteristics. Therefore， actively carrying out multidisciplinary crossing， cultivating related professional talent team， and forming TCM diagnosis and treatment guidelines or consensus to support clinical practice is the essential foundation for the construction of TCM cardio-oncology discipline. Meanwhile， fully exploring the characteristics and advantages of TCM is the key to the construction process of the discipline， such as writing and summarising and analysing relevant high-quality clinical case reports of TCM for evidence-based optimisation， as well as widely applying the concept of "treating disease before it arises" of TCM characteristics to the clinical prevention and treatment of the relevant diseases and scientific research， etc.， so as to comprehensively guarantee the development of the discipline of TCM cardio-oncology.

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.

Objective To explore the molecular mechanism of Yixin Tongbi Mixture in the intervention of atherosclerosis(AS).Methods Thirty-six SD rats were divided into the normal control group,model con-trol group,low dose Yixin Tongbi Mixture group,medium dose Yixin Tongbi Mixture group,high dose Yixin Tongbi Mixture group and atorvastatin group,6 cases in each group.Except the normal control group,the oth-er groups adopted the high fat vitamin D3 mixed feed gavage for constructing the rat AS model.The low dose,medium dose and high doses Yixin Tongbi Mixture groups were gavaged by 10,20,40 g/kg Yixin Tongbi Mixture.The atorvastatin group was gavaged by 5 mg/kg atorvastatin;and the normal control group and mod-el control group were gavaged by placebo once a day for consecutive 14 d.The pathological changes of aortic tissues were observed by HE staining.The levels of serum TC,TG,HDL and LDL were detected by automatic biochemical analyzer.The expression levels of IL-6,TNF-α and ICAM-1 in aortic tissue were detected by ELISA.The expression levels of MMP-2 and MMP-9 in aortic tissue and Bax and Bcl-2 protein expression lev-els in cardiac tissue were detected by Western blot.Results Compared with the normal control group,the aor-tic wall of the model control group rats was significantly thickened,and the levels of serum TC,TG,HDL and LDL were increased.The expression levels of MMP-2,MMP-9,IL-6,TNF-α and ICAM-1 in the aortic tissues were also increased.The expression level of Bax in the myocardial tissues was increased,while the expression level of Bcl-2 was decreased,and the differences were statistically significant(P＜0.05).Compared with the model control group,the above indicators in the medium dose and high doses Yixin Tongbi Mixture groups and atorvastatin group were significantly improved(P＜0.05).Except Bax,IL-6 and ICAM-1 expression lev-els,the other indicators in the low dose Yixin Tongbi Mixture group had no statistically significant differences(P＞0.05).Conclusion Yixin Tongbi Mixture could inhibit the AS occurrence and development by inhibiting inflammation and cellular apoptosis,and its mechanism is related to the abnormal expression of IL-6/TNF-αand MMP-2/MMP-9.

The automation of traditional Chinese medicine(TCM)pharmaceuticals has driven the development of process analysis from offline to online.Most of common online process analytical technologies are based on spectroscopy,making the identification and quantification of specific ingredients still a challenge.Herein,we developed a quality control(QC)system for monitoring TCM pharmaceuticals based on paper spray ionization miniature mass spectrometry(mini-MS).It enabled real-time online qualitative and quantitative detection of target ingredients in herbal extracts using mini-MS without chromatographic separation for the first time.Dynamic changes of alkaloids in Aconiti Lateralis Radix Praeparata(Fuzi)during decoction were used as examples,and the scientific principle of Fuzi compatibility was also investigated.Finally,the system was verified to work stably at the hourly level for pilot-scale extraction.This mini-MS based online analytical system is expected to be further developed for QC applications in a wider range of pharmaceutical processes.

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.