Although symptomatic treatment is widely applied in clinical practice， it is often regarded as a relatively low-level therapeutic method. Based on Traditional Chinese Medicine （TCM） state theory， the macroscopic， mesoscopic， and microscopic characterization parameters of TCM symptomatology are horizontally integrated， the full life cycle of states （pre-disease， incipient disease， manifest disease， post-disease） is vertically covered， and the cognitive system of "symptoms" is reconstructed from multiple dimensions. Accordingly， the application approach of symptomatic treatment at different state stages is proposed： implementing preventive intervention in the pre-disease state， strengthening the interception of disease progression in the incipient disease state， regulating dynamic development and treatment in the manifest disease state， and formulating a staged diagnosis and treatment strategy which focuses on functional rehabilitation in the post-disease state.

ObjectiveTo explore the typical syndromes and their characteristic of symptoms and signs with high diagnostic value in patients with metabolic syndrome （MS）. MethodsTraditional Chinese medicine （TCM） diagnostic information was collected from 135 MS patients. Syndrome element differentiation and latent class analysis （LCA） were applied to identify the major TCM syndromes in MS patients. Symptoms were analyzed based on the differentiated syndromes， and a binary logistic regression model was constructed to determine symptoms and signs with high diagnostic value. ResultsA total of 135 MS patients were included， involving 163 symptoms and signs with a total frequency of 1749； twenty-three syndrome elements were extracted， 367 times frequency in total， among which 8 syndrome elements occurred ≥10 times with 323 frequencies （88.01% of the total）. These included location-related elements such as kidney （48 times）， spleen （14 times）， and stomach （14 times）， and nature-related elements such as phlegm （71 times）， yin deficiency （64 times）， dampness （57 times）， heat （42 times）， and qi deficiency （13 times）. Based on LCA， the 135 patients were categorized into two groups distinguished by the syndrome elements of dampness and phlegm， forming the "phlegm-dampness syndrome" as the major syndrome type. Nine high-frequency symptoms and signs associated with the phlegm-dampness syndrome were identified，i.e. obesity （39 times）， greasy coating （38 times）， slippery pulse （33 times）， white coating （31 times）， preference for fatty and heavy foods （30 times）， excessive urination （30 times）， fatigue and lack of strength （29 times）， wiry pulse （25 times）， and dark red tongue （25 times）. A binary logistic regression model was constructed combining these nine symptoms and signs with the LCA classification results， ultimately identifying obesity， greasy coating， fatigue and lack of strength， and white coating as independent factors associated with the phlegm-dampness syndrome in MS patients （P＜0.05）. ConclusionThe major TCM syndrome in MS patients is phlegm-dampness syndrome， and obesity， greasy coating， fatigue and lack of strength， and white coating are the typical symptoms and signs for diagnosing phlegm-dampness syndrome in MS patients.

The knowledge and experience of medical practitioners in the diagnosis and treatment of diseases throughout history are mostly reflected in the description and analysis of relevant clinical events.The diagnosis and treatment thinking and cognitive reasoning process among the knowledge has dynamic and complex characteristics in time and space.However,the current exploration of ancient doctors' diagnosis and treatment experience of diseases and syndromes is mainly focuses on the academic evolution of the entire historical time line,and lacks the exploration of the concept of time and its medical relevance in ancient books.It mainly focuses on entity knowledge,and lacks the presentation of temporal dynamic cognitive logic.Moreover,the research primarily focuses on the study of specific terms in ancient Chinese medicine books,without fully covering ancient medical events.To address this issue,this research proposes to construct the evolution model of diagnosis and treatment experience based on time-series dynamic perspective:according to the time series of diagnosis and treatment events,it covers the time system module,the"coming disease"module,the"already sick"module,and the"after sick"module,which involves the dynamic risk assessment of disease occurrence by ancient medical practitioners,the grasp of the dynamic evolution of the already sick state and the treatment plan,and the dynamic health plan for the after sick state.

The knowledge and experience of medical practitioners in the diagnosis and treatment of diseases throughout history are mostly reflected in the description and analysis of relevant clinical events.The diagnosis and treatment thinking and cognitive reasoning process among the knowledge has dynamic and complex characteristics in time and space.However,the current exploration of ancient doctors' diagnosis and treatment experience of diseases and syndromes is mainly focuses on the academic evolution of the entire historical time line,and lacks the exploration of the concept of time and its medical relevance in ancient books.It mainly focuses on entity knowledge,and lacks the presentation of temporal dynamic cognitive logic.Moreover,the research primarily focuses on the study of specific terms in ancient Chinese medicine books,without fully covering ancient medical events.To address this issue,this research proposes to construct the evolution model of diagnosis and treatment experience based on time-series dynamic perspective:according to the time series of diagnosis and treatment events,it covers the time system module,the"coming disease"module,the"already sick"module,and the"after sick"module,which involves the dynamic risk assessment of disease occurrence by ancient medical practitioners,the grasp of the dynamic evolution of the already sick state and the treatment plan,and the dynamic health plan for the after sick state.

Objective: To investigate the therapeutic efficacy and potential mechanisms of fecal microbiota transplantation (FMT) in patients with type 2 diabetes mellitus (T2DM), and to preliminarily identify the traditional Chinese medicine (TCM) syndrome element characteristics of FMT in the treatment of T2DM. Methods: Between March 25, 2023 and September 30, 2024, T2DM patients who met the inclusion and exclusion criteria were enrolled at the Department of Rheumatology and Endocrinology of the Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine. Participants received oral microbiota capsules as an adjunct to metformin therapy. Information obtained by four diagnostic methods of TCM, along with clinical and laboratory parameters, was collected before and after the intervention. Metagenomic sequencing was employed to analyze the gut microbiota, and Spearman correlation analysis was used to explore the relationship between laboratory indicators and differential bacterial genera. According to the post-treatment reduction in glycosylated hemoglobin (HbA1c), patients were categorized into a response (R) group and a non-response (NR) group. Treatment outcomes, safety indicators, gut microbiota changes, and TCM syndrome element features were compared between the two groups. Results: A total of 53 T2DM patients were included in the final analysis, and 30 patients were assigned to R group and 23 to NR group. After treatment, the R group exhibited significant reductions in HbA1c, fasting plasma glucose (FPG), and 2-hour postprandial glucose (2hPG) (P < 0.05 or P < 0.01). The NR group also showed significant decreases in HbA1c and FPG levels P < 0.01 or P < 0.05. Compared with the NR group, after treatment, FPG level in the R group demonstrated significant reductions (P < 0.01). As compared with before treatment, pancreatic islet function demonstrated enhancement in the R group, a significant increase in the 2-hour pastprandial C-peptide (2hC-P) levels in R group (P < 0.05), whereas no marked change was observed in the NR group. Regarding body composition indicators, the R group showed significantly lower waist-hip ratio (WHR), visceral fat (VF), and subcutaneous fat (SF) levels compared with the NR group (P < 0.01). After treatment, the NR group exhibited a significant elevation in aspartate aminotransferase (AST) levels (P < 0.05). Other safety-related indicators fluctuated within normal reference ranges, and no other adverse events, such as diarrhea, fever, or nausea, were reported. Metagenomic sequencing showed that FMT improved the diversity and richness of the gut microbiota, remodeling its overall structure. At the phylum level, the abundance of p_Firmicutes decreased significantly (P < 0.01), while the abundances of p_Bacteroidota and p_Proteobacteria increased significantly (P < 0.01). At the family level, among the 125 identified taxa, the abundances of f_Bacteroidaceae, f_Lactobacillaceae, and f_Sutterellaceae were significantly elevated, whereas six families, including f_Lachnospiraceae, f_Ruminococcaceae, and f_Coriobacteriaceae, were significantly decreased (all P < 0.05). Among the 367 taxa at the genus level, the top 10 differential genera showed significantly increased abundances of g_Bacteroides and g_Sutterella, and significantly decreased abundances in eight genera, including g_Faecalibacterium, g_Ruminococcus, g_Blautia, and g_Collinsella (all P < 0.05). Correlation analysis suggested that the phylum p_Bacillota was positively correlated with improvements in T2DM laboratory parameters, g_norank_f_Prevotellaceae was significantly positively correlated with fasting C-peptide (FC-P) and 2hC-P (P < 0.05). HbA1c demonstrated a significantly positive correlation with g_Blautia and g_Gemmiger (P < 0.05) and a significantly negative correlation with g_Bacteroides and g_Collinsella (P > 0.05). Analysis of syndrome element characteristics revealed that the R group was primarily characterized by pathological patterns of dampness, phlegm, and Yang deficiency. Before treatment, statistically significant reductions in syndrome element scores were observed for dampness, Yang deficiency, spleen, phlegm, Qi deficiency, Qi stagnation, and Yin deficiency (P < 0.01), as well as for heat and liver (P < 0.05). The NR group was mainly featured with Qi deficiency and Yin deficiency. Statistically significant changes in their syndrome element scores after treatment were noted for Qi deficiency (P < 0.01), and for spleen, Qi stagnation, liver, and blood deficiency (P < 0.05). In this group, the score changes for Yang deficiency, Yin deficiency, heat, and dampness were not statistically significant (P > 0.05). Conclusion The principles of syndrome element differentiation can be effectively applied to predict treatment efficacy and facilitate patient selection for FMT in the treatment of T2DM. Patients with T2DM presented with specific TCM syndrome element characteristics, notably dampness, phlegm, and Yang deficiency, represent a highly responsive population to FMT therapy.

The correspondence between prescription and syndrome is the advantage and characteristic of traditional Chinese medicine(TCM)treatment.However,the pathogenesis of clinical diseases is complex and the condition is changeable,and the clinical application is difficult to achieve the maximum effect under the existing cognition of the correspondence between prescription and syndrome.In this paper,the five categories of physiological characteristics,pathological characteristics,constitution,syndrome,and disease of the longitudinal classification of"TCM state"are introduced into the correspondence of prescription and syndrome.Under the vertical perspective of"TCM state",the theoretical connotation of the correspondence between prescription and syndrome is interpreted as"correspondence between prescription and state",namely correspondence of"prescription-physiological characteristics",correspondence of"prescription-pathological characteristics",correspondence of"prescription-constitution",correspondence of"prescription-syndrome",and correspondence of"prescription-disease".It is hoped to accurately grasp the corresponding connotation of the correspondence between prescription and syndrome,in order to deepen the clinical thinking mode of TCM.

The essence of asymptomatic syndrome differenciation is that the disease is in a special stage or state. To perform traditional Chinese medicine （TCM） diagnosis when there was no symptoms for differentiation is a key scientific issue in current TCM diagnosis and treatment. The reasons include limitations in doctor-patient behaviors and relationships， as well as limitations in cognitive thinking. To address such situations， the following strategies can be adopted from a thinking perspective，i.e. grasping the occurrence and development of diseases based on a holistic concept， using dialectical thinking to summarize the laws of diseases， integrating clinical practice with experiential thinking， and introducing new thinking modes through interdisciplinary collaboration. These strategies help TCM practitioners make accurate diagnoses in the absence of obvious symptoms， thereby providing better medical services for patients.

The microcosmic syndrome differentiation is expounded from the the trinity life view of the body， qi， and spirit. This article analysed the relationship between micro-indicators and body， qi and spirit， considering that the abnormalities of micro-indicators in pathological states involve three different levels in terms of body， qi and spirit， and may reflect the degree of malfunction of body， qi and spirit and the dynamic changes of the focus during different pathological processes.Accordingly， based on the syndrome differentiation and treatment of traditional Chinese medicine， it is proposed that the macroscopic and the microscopic， the local and the whole， as well as the imbalance of body， qi and spirit reflected by microscopic and macroscopic indicators at different stages of disease should be combined to determine the corresponding treatment， thereby restoring the “harmony of body and spirit” of the human body.

In the context of the complex and ever-changing spectrum of diseases, the traditional Chinese medicine compatibility of prescription and drugs is no longer able to fully meet the needs of clinical diagnosis and treatment. Therefore, this article is based on the diagnosis and treatment model of the combination of disease, syndrome, and symptom, combined with the development achievements of Western medicine, and explores the principles of formulating traditional prescriptions based on the combination of chief, deputy, assistant, and envoy. This article proposes a formulation principle of composing prescriptions with the diagnosis of syndrome as the chief, the diagnosis of disease as the deputy, the treatment of symptoms as the assistant, and the harmonization of medicine as the envoy. This forms a treatment plan with the core link of syndrome differentiation and treatment, disease differentiation and treatment, symptomatic treatment, detoxification, and efficacy enhancement. The purpose of this article is to address the current clinical challenges such as an increasing disease spectrum and the complexity of syndrome patterns and symptom clusters. It aims to provide new insights into traditional Chinese medicine clinical treatment plans and herbal formulation strategies, with the ultimate goal of improving the clinical effectiveness of traditional Chinese medicine.

Personalized medicine emphasizes individualized and dynamic treatment decisions. There is an urgent need for a new efficacy evaluation system that can adapt to this approach. By reviewing past clinical research practices， this article pointed out the innovative needs of traditional Chinese medicine （TCM） efficacy evaluation from the perspective of personalized medicine in terms of ethical review， trial design， data management， and statistical analysis. Focusing on these needs， the article has proposed a strategic framework using syndrome differentiation and treatment in TCM as an example. The framework includes a method based on subgroup dynamic-static parallel group design and analysis， a safeguard mechanism of continuous review， dynamic informed consent， and multicenter ethical review， a technological support platform for personalized clinical efficacy evaluation and evidence support， and a statistical strategy integrating Bayesian and traditional analysis methods， aiming to promote the development of personalized TCM diagnosis and treatment.