Irritable bowel syndrome （IBS） is a functional bowel disorder characterized primarily by abdominal pain and altered defecation habits. In recent years， traditional Chinese medicine （TCM） has made progress in multiple aspects of IBS research and treatment， including syndrome distribution， development of TCM formulas， clinical efficacy evaluation， external therapies， and psychosocial regulation. However， it still faces challenges such as over-reliance on symptomatic manifestations rather than biomarkers for diagnostic criteria， and the lack of high-quality evidence-based data supporting the efficacy of TCM formulas in treating IBS. This paper proposed that TCM diagnosis and treatment of IBS should adhere to the strategy of integrating the holistic concept with syndrome differentiation and treatment， combining TCM external therapies such as acupuncture， moxibustion and acupoint application）， and emphasizing individualized diagnosis and treatment for psychosomatic abnormalities. Future research should integrate multi-omics technologies， artificial intelligence and other methods to deepen the understanding of the pathogenesis of IBS and the mechanisms of TCM formulas， so as to promote the standardization and internationalization of TCM in the diagnosis and treatment of IBS.

Organoid technology， a rapidly advancing three-dimensional （3D） cell culture platform， can closely mimic the microarchitecture and functions of human digestive organs， effectively overcoming the limitations of conventional two-dimensional cell models and animal experiments. By systematically summarizing the distinctive strengths of organoid technology in simulating digestive physiological and pathological states， constructing digestive system disease models， enabling high-throughput drug screening， and facilitating personalized treatment， this review explored the potential applications of organoids in identifying active components of traditional Chinese medicine （TCM） formulas， evaluating in vitro pharmacokinetics and toxicological parameters， and investigating multi-target synergistic mechanisms. By integrating cutting-edge engineering technologies， organoids are expected to provide a more scientific research platform for TCM， accelerate the modernization of its mechanistic studies， and enhance its scientific value and global impact.

In recent years, with the rapid development of artificial intelligence technology, the application of deep learning in the field of pathology has been continuously expanding. Particularly, the rise of multimodal data fusion methods has opened up new technical paths for the precise diagnosis, prognosis assessment, and individualized treatment of tumors. By integrating multi-level and multi-source data such as clinical information, pathological omics, molecular omics, and imaging omics, deep learning models can identify potential associated features and key biological mechanisms that are difficult to reveal by a single modality, thereby significantly improving the accuracy of disease classification and the scientific nature of risk stratification. This article systematically reviews the research progress of multimodal data fusion methods based on deep learning in the field of pathology in recent years, focuses on sorting out different types of fusion strategies, evaluates their advantages and challenges in practical clinical applications, and looks forward to future development trends.

The theory of "holism of five organs" highly encapsulates the understanding of TCM on the integrity, connectivity, and unity of the internal life functions and morphological structures of the human body. Functional gastrointestinal disorders (FGIDs) frequently overlap, and TCM has significant advantages in their prevention and treatment based on the theory of the holistic view and syndrome differentiation and treatment. Exosomes are extracellular vesicles whose secretory form and biological functions fully reflect the "holism of five organs", and they are of great value in the pathogenesis, diagnosis and treatment of overlap of symptoms of FGIDs. This article interpreted the relationship between exosomes and overlap of symptoms of FGIDs with the "holism of five organs", aiming to provide new ideas and methods for the prevention and treatment of overlap of symptoms of FGIDs, as well as partly explain the scientific connotation of the theory of "holism of five organs".

Objective:To systematically analyze the registration status of clinical trials related to inflammatory bowel disease (IBD) in China Clinical Trial Registry (ChiCTR); To focus on the characteristics and shortcomings of TCM research; To provide data support and theoretical basis for optimizing clinical trial design and improving the quality of TCM research.Methods:The IBD-related clinical trials registered by ChiCTR from the establishment of the database to September 18, 2024 were retrieved. SPSS 26.0 software was used to analyze the frequency of research objects, registration time, registration area and institution, source of funds, research type and design scheme, random method and blind method, trial staging and research center, sample size, intervention measures and outcome indicators.Results:There were 317 clinical trials of IBD. Shanghai, Jiangsu, Beijing, Guangdong and Zhejiang accounted for 72.87% of the total number of registrations. Most of the registered projects were intervention studies (51.42%), 48 studies used blind method, and randomized controlled study was the main research design type. In the 68 clinical trials related to TCM, the intervention measures were divided into 4 categories, of which Chinese materia medica was the most (42 items); the sample size was the most in the intervention study, with a total of 6 787 cases; the total frequency of outcome indicators was 1 866 times, and the quality of life and mental health were the most (147 items).Conclusions:The number of registered IBD clinical trials is generally increasing, but there may be problems such as uneven distribution of regions and institutions, poor design of sample size, blind method and other research, and non-standard filling of registration information. In the research of TCM treatment of IBD, it is suggested to further strengthen the depth and breadth, especially the characteristic therapy of TCM.

Histological staining is the basis of pathological analysis,but the traditional staining method relies on chemical reagents,which not only consumes a lot of resources,but also causes harm to the environment and human health.In recent years,with the rapid development of deep learning technology,virtual staining technology,as a new method,is expected to effectively replace and supplement the traditional histological staining methods.It uses neural networks to analyze unstained tissue images,generate digital images that are highly similar to chemical staining effects,and even realize the mutual conversion between different staining modes,reducing the laboratory's dependence on chemical reagents and providing sustainable research programs.In this paper,the basic principles of virtual staining and its potential applications in histopathology are introduced in detail,and the current challenges and future research directions are discussed.

Histological staining is the basis of pathological analysis,but the traditional staining method relies on chemical reagents,which not only consumes a lot of resources,but also causes harm to the environment and human health.In recent years,with the rapid development of deep learning technology,virtual staining technology,as a new method,is expected to effectively replace and supplement the traditional histological staining methods.It uses neural networks to analyze unstained tissue images,generate digital images that are highly similar to chemical staining effects,and even realize the mutual conversion between different staining modes,reducing the laboratory's dependence on chemical reagents and providing sustainable research programs.In this paper,the basic principles of virtual staining and its potential applications in histopathology are introduced in detail,and the current challenges and future research directions are discussed.

In recent years, with the rapid development of artificial intelligence technology, the application of deep learning in the field of pathology has been continuously expanding. Particularly, the rise of multimodal data fusion methods has opened up new technical paths for the precise diagnosis, prognosis assessment, and individualized treatment of tumors. By integrating multi-level and multi-source data such as clinical information, pathological omics, molecular omics, and imaging omics, deep learning models can identify potential associated features and key biological mechanisms that are difficult to reveal by a single modality, thereby significantly improving the accuracy of disease classification and the scientific nature of risk stratification. This article systematically reviews the research progress of multimodal data fusion methods based on deep learning in the field of pathology in recent years, focuses on sorting out different types of fusion strategies, evaluates their advantages and challenges in practical clinical applications, and looks forward to future development trends.

Spleen deficiency is an important part of the theoretical system of Traditional Chinese Medicine,which has experienced the process of origin,standardization,maturity,perfection and development in different historical periods.The physiological function of the spleen in Traditional Chinese Medicine involves"the spleen governs transportation and transformation,promotes blood circulation";The study of"spleen governing transportation and transformation"divided into"spleen governing transportation"and"spleen governing transformation"from the function of spleen,which is more conducive to explaining the scientific connotation of spleen governing transportation and transformation.Spleen governing transport and transformation is the basis of spleen governing clearing,and spleen governing clearing is the purpose of spleen governing transport and transformation.Spleen governing blood circulation is the outcome of spleen governing clearing,and there is a progressive logical hierarchy relationship between them.With the rise of proteomics,metabonomics and intestinal flora research,it provides technical support for the study of spleen deficiency syndrome;In addition,based on the correlation between spleen of Traditional Chinese Medicine and the functions of endoplasmic reticulum,the material basis of essence of spleen deficiency is discussed from the perspective of endoplasmic reticulum stress,which provides a new direction for the study of spleen deficiency.

The pathogenesis of ulcerative colitis(UC)is still unclear,and the pathogenesis based on intestinal mucosal immune imbalance is now widely recognized."Spleen as the defense"refers to the function of the spleen to protect the body and defend against pathogenic factors,which is highly consistent with modern mucosal immunology theory.The abnormal function of"Spleen as the defense"is the key reason for the immune imbalance of UC intestinal mucosa.In this paper,"spleen as the defense"as the starting point,to explore the mechanism of UC intestinal mucosal immune dysfunction,to consolidate the theoretical basis for the treatment of UC based on spleen,and to provide a theoretical basis for the treatment of UC from the perspective of restoring intestinal mucosal immune homeostasis.