The clustered regularly interspaced short palindromic repeats (CRISPR)/associated protein 9 (CRISPR /Cas9) immune system is an adaptive immune system widely distributed in bacteria and archaea. It precisely defends against invasion by exogenous phages, viruses, and plasmids through sequence-specific endogenous immune response mechanisms. As the most prominent member of this family, the CRISPR/Cas9 system has evolved into the most widely applied, flexible, and efficient technical platform in the field of genome engineering due to its exceptional genome modification capabilities. Within the CRISPR/Cas9 system, the Cas9 protein, precisely guided by a single-stranded guide RNA (gRNA), can specifically recognize target DNA sequences and induce double-strand breaks. This activates the cell’s DNA repair mechanisms, enabling gene knockout, knock-in, or modification. Demonstrating significant advantages in specificity, flexibility, and operability, CRISPR/Cas9 technology has shown immense potential in the medical field, opening new avenues for modernizing traditional Chinese medicine (TCM) research. On one hand, this technology can be used to construct precise disease models and tailor personalized treatment plans. It enables in-depth elucidation of the molecular mechanisms underlying the action targets and signaling pathways of TCM formulas and active components, thereby unraveling the scientific secrets of their complex mechanisms of action. On the other hand, it demonstrates powerful tool value in improving TCM germplasm resources, identifying and screening superior varieties, evaluating the controllability of TCM quality, and producing innovative drugs, providing technical support for the standardization and precision of TCM. Simultaneously, the high-throughput omics data generated by CRISPR technology is driving artificial intelligence (AI) to construct virtual disease models and drug prediction systems. This empowers the intelligent screening of effective TCM components, the precise prediction of potential targets, and the exploration of “reducing toxicity while enhancing efficacy” through formula combinations. This synergistic innovation between CRISPR and AI aligns perfectly with precision medicine’s urgent demand for personalized, efficient drug development, injecting new momentum into the modernization and transformation of TCM. This paper first systematically reviews and explains the developmental trajectory, structural basis, and action mechanisms of the CRISPR/Cas9 system, tracing its scientific evolution from a bacterial immune system to a gene-editing tool. It then comprehensively outlines the current state of convergence between precision medicine concepts and modernization research in TCM, analyzing the synergistic points and potential spaces for their integration. Against the backdrop of rapid precision medicine advancement, this paper emphasizes how CRISPR/Cas9 gene editing technology empowers in-depth analysis of TCM mechanisms—including specific applications in disease model construction, therapeutic target validation, and multi-target network regulation studies. It further elaborates on its multidimensional practical contributions to modernizing TCM, spanning key domains such as germplasm resource innovation, bioactive compound biosynthesis, quality standardization control, and novel TCM drug development. Finally, this paper envisions the future landscape of deep integration between CRISPR technology and AI: from data-driven intelligent drug screening to high-throughput precision discovery of effective TCM components, and further to intelligent model construction based on “reducing toxicity while enhancing efficacy” mechanisms. The synergistic convergence of these multidimensional technologies will pioneer new scientific paradigms and translational pathways for TCM modernization, propelling TCM toward leapfrogging development in the era of precision medicine.

ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

The historical development of endogenous wind （内风） is traced with time as the thread， based on the progression of factors such as syndromes， causes of disease， and pathogenesis. It is believed that the concept of wind syndrome originated in The Inner Canon of Yellow Emperor （《黄帝内经》）， encompassing both exogenous wind （外风） and endogenous wind syndrome. Over time， exogenous wind syndrome gradually evolved into mild syndromes and severe syndromes， while endogenous wind syndrome emerged from severe syndromes of exogenous wind. Endogenous wind syndrome has both syndrome and pathogenic attributes， and its theoretical system has gradually become more refined. Based on the theories of ancient and modern medical practitioners， and combining the holistic perspectives with Xiang （象） thinking， it is proposed that endogenous wind has both physiological and pathological distinctions. The physiological endogenous wind refers to the liver's moderate dispersing and regulating function， which helps to distribute qi （气）， blood， and body fluids， while pathological endogenous wind arises from abnormal liver dispersal. Therefore， in clinical practice， different treatment methods， such as tonifying， unblocking， and warming， can be applied according to the differentiation of deficiency and excess in the pathogenesis.

The theory of "Yang transforming Qi while Yin constituting form" in the Huangdi's Internal Classic is derived from the application， transformation， movement， and balance of Tao. It is highly condensed， revealing the true meaning of Tao and guiding the changes and progress of all natural things， including diseases. Therefore， the appearance of various physical diseases is the manifestation of Yin-Yang Qi transformation. Sweat pore， formed by the Qi transformation of Yin and Yang， is the nourishing and regulating system. It serves as the hub and channel， assisting in the flow and transformation of Qi， facilitating the exchange of material， energy， and information with the outside world. With sweat pore as the hub and based on the macro-control and holistic thinking of "Yang transforming Qi while Yin constituting form"， this paper explores the microscopic mechanisms underlying chronic liver disease. In combination with the roles of mitochondria， exosomes， and the ultraliver sieve structure in the formation and progression of chronic liver disease， this paper elucidates the close internal relationship between the disease's initial quality， symptom signs， and its physiological and pathological functions under the guidance of this theory. Modern studies have shown that autophagy， intestinal flora disorders， glucose and lipid metabolism disturbances， activation of inflammatory factors， ferroptosis， and other microscopic pathological mechanisms are involved in the occurrence and development of chronic liver disease. The common connotation of the Yin-Yang concept in traditional Chinese medicine （TCM） and the pathological mechanisms in modern medicine is deeply analyzed. The corresponding relevant microscopic mechanisms and the guiding role of the theory of "Yang transforming Qi while Yin constituting form-sweat pore" in the management of chronic liver disease are summarized. Wind medicine promotes growth and transformation through sweat pore. The combination of pungent and sweet medicines facilitates Yang and disperse Yin. The formulas， combining the characteristics of wind medicine and pungent and sweet medicines， fit the principle of "Yang transforming Qi while Yin constituting form-sweat pore". This paper combines both macro and micro perspectives to explain the scientific connotation and microscopic mechanisms of chronic liver disease based on the theory of "Yang transforming Qi while Yin constituting form-sweat pore"， and explore the prevention and treatment of chronic liver disease through the principles， methods， prescriptions， and medicines featured by combination of pungent and sweet medicines， facilitating Yang， activating sweat pore， and dispersing Yin， providing new ideas and reference for the clinical treatment of chronic liver disease.

Objective To evaluate the advantages of powder-liquid double-chamber bag products compared with traditional powder injection. Methods The systematic review method was used to collect the literature on powder-liquid double-chamber bag, extract common evaluation indicators, evaluate the use value of powder-liquid double-chamber bag products, and conduct a comprehensive comparison with traditional powder injection products. Results A total of 23 articles were included in the literature. The effectiveness indicators used for evaluation were the stability of the liquid medicine, the accuracy of the preparation concentration, and the residual amount of the liquid medicine; the safety indicators were the incidence of insoluble particles and the incidence of punctures and scratches. The economic indicators were preparation cost, occupied volume of preparation supplies, waste weight, hospitalization cost and incidence of blood infection. The applicability indicators were preparation time, average occupation of medical staff, packaging weight and storage and transportation volume, environmental adaptability, and ease of waste disposal. Accessibility indicators are the number of manufacturers, raw material supply capacity, and patient affordability. Through the evaluation of literature evidence, it was found that the stability and concentration accuracy of the powder-liquid double-chamber bag were higher than those of the traditional powder injection, and the domestic supply had been achieved. The double-chamber bag method can reduce the infusion reaction and shorten the preparation time of the liquid medicine. Conclusion Compared with traditional powder injectabler products, powder-liquid double-chamber bags have advantages in the dimensions of effectiveness, safety, economy, suitability and innovation, and the accessibility dimension meets the requirements.

Objective: Introduce and briefly describe the status, characteristics, and writing ideas of general notice in the Chinese Pharmacopoeia 2025 edition, providing reference and suggestions for better understanding and implementation of the Chinese Pharmacopoeia 2025 edition.
Methods:This article elaborates on the content and revision of general notice in the Chinese Pharmacopoeia 2025 edition from the perspective of frame structure and main contents.
Results:Compared with other pharmacopoeias of various countries, Chinese Pharmacopoeia includes standards for traditional Chinese medicine, chemical drugs, biological products and excipients, pharmaceutical packaging materials, etc. Each section of Chinese Pharmacopoeia has its own general notice, with 34 to 48 items arranged in 11 to 12 chapters. Depending on the type of products included and the development history, the general notice in each section present differences in format and content. Given the importance and significance of the standards in Chinese Pharmacopoeia, it is necessary for the industry to coordinate and unify the general notice in various parts of Chinese Pharmacopoeia. With the introduction and revision of regulations, changes in the content of pharmacopoeias, and the application of new technologies, methods, and concepts in drug quality control, considering the unique characteristics of various drugs in quality control and supervision, Chinese Pharmacopoeia has comprehensively standardized relevant requirements. While taking into account the characteristics of the first, second, third, and fourth parts of the pharmacopoeia, it retains the characteristics of relative uniformity and the content of each part, achieving the unified standardization of the general rules of each general notice in the Chinese Pharmacopoeia 2025 edition and the coordination and consistency of common content.
Conclusion: The current version of Chinese Pharmacopoeia has undergone significant changes and improvements in both form and content. By introducing the overall situation and revised content of general notice in the Chinese Pharmacopoeia 2025 edition, pharmacopoeia users can have a deeper understanding of Chinese Pharmacopoeia and use it correctly.

[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].

In view of the few studies on the influence of Armillaria spp. infection on the content of the chemical components in different parts of Polyporus umbellatus sclerotia, this study determined the biomass of P. umbellatus sclerotia and the contents of ergosterol, polyporusterone A, polyporusterone B and polysaccharide in the separated cavity wall of the sclerotia and the uninfected part of the sclerotia in different harvesting years under the conditions of A. gallica and A. mellea infection respectively. According to the difference of content and dynamic changes of the polysaccharide and the steroid substances, the superior Armillaria sp. was screened to obtain the best harvest years of P. umbellatus. Using HPLC and UV-VIS spectrophotometry methods, the contents of ergosterol, polyporusterone A, polyporusterone B and polysaccharide in P. umbellatus sclerotia infected by the two Armillaria spp. in different years were determined. In addition, the differentially expressed genes related to P. umbellatus polysaccharide synthesis were screened according to the transcriptomic data of different parts of P. umbellatus after A. mellea infection. With the increase of years, the biomass of sclerotia infected by different Armillaria spp. had significant differences, and there were significant differences in the four components of sclerotia. The four components of the separated cavity wall of the sclerotia were significantly higher than those of the uninfected part. The best harvest time was the third year after cultivation. Transcriptomic analysis showed that the infection of Armillaria spp. could significantly promote polysaccharide synthesis, which provided a basis for polysaccharide content determination at the molecular level. The study clarified the influence of different Armillaria spp. infection on the accumulation of chemical components of P. umbellatus sclerotia, laying a foundation for exploring the symbiosis mechanism and provided a scientific clue for screening superior Armillaria sp. and guiding the artificial cultivation of P. umbellatus sclerotia.

AIM To evaluate the quality of Rubi Fructus.METHODS UPLC-Q-TOF-MS/MS was adopted in the component identification,after which the HPLC fingerprints were established,cluster analysis,principal component analysis and orthogonal partial least squares discriminant analysis were used for chemical pattern recognition.and the contents of chlorogenic acid,ferulic acid,ellagic acid,isoquercitrin,kaempferol-3-O-rutinoside,astragalin,tiliroside quercetin,kaempferol were determined.RESULTS Total 34 constituents were identified.There were 19 common peaks in the fingerprints for 31 batches of medicinal materials with the similarities of more than 0.8.Wild varieties and cultivated varieties,and medicinal materials from different producing areas could be distinguished;4 principal components demonstrated the accumulative variance contribution rate of 84.142％;8 differential components were screened,2 of which were ellagic acid and astragalin.Ellagic acid and astragalin displayed higher contents in the wild varieties than those in the cultivated varieties(P＜0.05,P＜0.01).CONCLUSION UPLC-Q-TOF-MS/MS,HPLC fingerprints combined with content determination can be used for the quality control of Rubi Fructus.