Based on spleen deficiency-phlegm dampness as the core pathogenesis of obesity， and integrating recent advances in modern medicine regarding the key role of immune inflammation in obesity， this paper proposes a multidimensional pathogenic network of "obesity-spleen deficiency-phlegm dampness-immune imbalance". Various traditional Chinese medicine （TCM） herbs that strengthen the spleen， regulate qi， and resolve phlegm and dampness can treat obesity by improving spleen-stomach transport and transformation， promoting water-damp metabolism， and regulating immune homeostasis. This highlights immune inflammation as an important entry point to elucidate the TCM concepts of "spleen deficiency-phlegm dampness" and the therapeutic principle of "strengthening the spleen and eliminating dampness to treat obesity". By systematically analyzing the intrinsic connection between "spleen deficiency generating dampness， internal accumulation of phlegm dampness" and immune dysregulation in obesity， this paper aims to provide theoretical support for TCM treatment of obesity based on dampness.

This paper outlines the development of artificial intelligence （AI） and its applications in traditional Chinese medicine （TCM） research， and elucidates the roles and advantages of large language models， knowledge graphs， and natural language processing in advancing syndrome identification， prescription generation， and mechanism exploration. Using spleen-stomach diseases as an example， it demonstrates the empowering effects of AI in classical literature mining， precise clinical syndrome differentiation， efficacy and safety prediction， and intelligent education， highlighting an upgraded research paradigm that evolves from data-driven and knowledge-driven approaches to intelligence-driven models. To address challenges related to privacy protection and regulatory compliance in cross-institutional data collaboration， a "trusted federated evidence-based analysis platform for TCM spleen-stomach diseases" is proposed， integrating blockchain-based smart contracts， federated learning， and secure multi-party computation. The deep integration of AI with privacy-preserving computing is reshaping research and clinical practice in TCM spleen-stomach diseases， providing feasible pathways and a technical framework for building a high-quality， trustworthy TCM big-data ecosystem and achieving precision syndrome differentiation.

Sleep disorder is a common complication in elderly patients with cerebral infarction, which seriously affects the rehabilitation process and quality of life of patients. Currently, the treatment of sleep disorders mainly consists of pharmacological and non-pharmacological interventions. Although pharmacological treatment has a certain effect, there are many adverse reactions, especially for elderly patients with declining body function, whose use carries a higher risk. It is of great significance to develop a reasonable individualized non-pharmacological intervention to prevent and treat the accompanying sleep disorders after cerebral infarction. This paper provides a brief review of present status, influencing factors and non-pharmacological interventions of sleep disorders in patients with acute cerebral infarction.

Background As common public facilities essential to daily life, hair and beauty salons frequently contain various airborne toxic and hazardous pollutants potentially leading to adverse health effects for salon practitioners. Objective To characterize the indoor air pollution profiles of common contaminants in hair and beauty salons in Shanghai and to evaluate the associated health risks for practitioners, in order to provide a scientific basis for strengthening the public health management in Shanghai and protecting the health of practitioners. Methods The air quality monitoring data of hair and beauty salons in Shanghai from 2016 to 2024 were obtained from the “Health Hazard Factors Monitoring Program for Public Places” of the National Institute of Environmental Health, Chinese Center for Disease Control and Prevention. Monitoring indicators included particulate matter ≤10 μm in aerodynamic diameter (PM₁₀), particulate matter ≤2.5 μm in aerodynamic diameter (PM_2.5), formaldehyde, ammonia, benzene, toluene, and xylene. Indicator compliance rates were calculated across various years in accordance with GB 9666-1996 Hygienic standard for barber shop and beauty shop and GB 37488-2019 Hygiene indicators and limit for public places; specifically, PM_2.5 was assessed against the limits stipulated in GB/T 18883-2022 Standards for indoor air quality. A questionnaire survey was conducted among salon practitioners to collect weekly working days and daily working hours. The non-carcinogenic risks associated with inhalation exposure to formaldehyde, ammonia, benzene, toluene, and xylene as well as the carcinogenic risks posed by formaldehyde and benzene were evaluated following WS/T 777-2021 Technical guide for environmental health risk assessment of chemical exposure and the U.S. Environmental Protection Agency inhalation risk model. Results The overall compliance rates of PM₁₀, formaldehyde, ammonia, benzene, and toluene in the air of hair and beauty salons in Shanghai from 2016 to 2024 were 92.13%, 96.59%, 96.15%, 94.93%, and 94.97%, respectively; the overall compliance rate of xylene was a little lower (85.92%), and the overall compliance rate of PM_2.5 was 57.18%. The P₅₀ concentrations of PM₁₀, PM_2.5, formaldehyde, ammonia, benzene, toluene, and xylene did not exceed the corresponding limits. The P₅₀ of non-carcinogenic risk indicator (hazard quotient, HQ) for formaldehyde, ammonia, benzene, toluene, and xylene were <1. The probabilities of non-carcinogenic risk HQ >1 for formaldehyde and xylene were 41.4% and 10.9%, respectively, which were higher than that of other pollutants. The P₅₀ of carcinogenic risk (CR) for formaldehyde and benzene were between 1.0×10⁻⁶ and 1.0×10⁻⁴, while the probabilities of CR >1.0×10⁻⁴ were 16.9% and 14.0%, respectively. Conclusion The overall compliance rate of common pollutant concentrations in the air of hair and beauty salons in Shanghai is high, and the hygienic condition meets the requirements of national standards. The non-carcinogenic health risks posed by formaldehyde and xylene to employees (with formaldehyde being more prominent), as well as the carcinogenic risks associated with formaldehyde and benzene, deserve heightened attention in future health supervision.

Atherosclerosis （AS） is the main pathological basis of cardiovascular diseases， and its occurrence and development are closely related to epigenetic regulation. Histone modification， as the core mechanism of epigenetic regulation， plays a crucial role in the occurrence and development of AS by dynamically regulating chromatin structure and gene expression. In recent years， traditional Chinese medicine （TCM） and its active components have shown unique advantages and potential in regulating histone modification for the prevention and treatment of AS. This article systematically reviews the mechanisms of histone acetylation， methylation， lactylation， etc. in the pathological process of AS and summarizes the latest research progress in the intervention of AS by the active components and compound prescriptions of TCM through regulating histone modification. Studies have indicated that TCM and its compound prescriptions regulate the activities of histone modification enzymes via multiple targets， showing unique advantages in influencing lipid metabolism and inflammatory response， as well as stabilizing vulnerable plaques and endothelial function. The active components of TCM directly target the activities or expression of histone modification enzymes such as histone acetyltransferases （HATs）， histone deacetylases （HDACs）， histone lysine methyltransferases （KMTs）， and histone lysine demethylases （KDMs）， thereby causing changes in histone modification and ultimately affecting gene expression and pathological phenotype in AS. However， current research still has problems such as insufficient in-depth basic research， unclear intervention effects and mechanisms of AS dynamics， relatively isolated studies on various factors of epigenetic modification， and unclear establishment of quality control standards for TCM compound prescriptions based on epigenetic regulation. In the future， in-depth research is still needed， and the research results should be translated into clinical applications. This article systematically clarifies the key role and mechanism of TCM in regulating the pathological process of AS through epigenetic intervention， providing new ideas for the modernization of TCM and precise prevention and treatment of AS.

Objective To determine the molecular mechanism of Yuchang granule (YCG) against ulcerative colitis （UC） by network pharmacology-based approach combined with molecular docking. Methods TCMSP and HIT database were utilized to search the active components and potential targets of YCG. The effective targets of UC were obtained by GeneCards, CTD, and DisGeNET databases. Venn Diagram was exploited to receive common targets of YCG and UC. Network maps of the TCM of YCG-active component-common targets were constructed by the Cytoscape software to gain key active components. Protein-protein interaction （PPI） of common targets was constructed by the STRING database obtaining core common targets. The mechanism and therapeutic effects of YCG on UC were explored via gene ontology （GO） and the biological pathway （KEGG） enrichment analyses. Molecular docking technology was carried out to verify the combination of core active components with key common targets. Results 98 active components and 237 potential targets were sieved from YCG, and 1061 effective targets were screened from UC. 94 common targets of YCG and UC were regarded as potential therapeutic targets. Bioinformatics analysis revealed that quercetin, luteolin, β-quebrachol, stigmasterol, and kaempferol may be the potential candidate agents. Tumor necrosis factor （TNF）, serine/threonine-protein kinase （AKT1）, tumor protein p53 （TP53）, interleukin-6 （IL-6） and IL-1β could become potential therapeutic targets. KEGG showed pathways in cancer, AGE-RAGE signaling pathway in diabetic complications, TNF signaling pathway, and IL-17 signaling pathway might play an important role in YCG against UC. Molecular docking results showed that quercetin combined well with TNF, AKT1, and TP53. And stigmasterol did well with AKT1. Conclusion This study comprehensively illustrated the potential candidate agents, potential therapeutic targets, and pathways of YCG against UC. It also illustrated that YCG could act on multiple targets through multi-pathway treating UC.

Atherosclerosis （AS） is the main pathological basis of cardiovascular diseases， and its occurrence and development are closely related to epigenetic regulation. Histone modification， as the core mechanism of epigenetic regulation， plays a crucial role in the occurrence and development of AS by dynamically regulating chromatin structure and gene expression. In recent years， traditional Chinese medicine （TCM） and its active components have shown unique advantages and potential in regulating histone modification for the prevention and treatment of AS. This article systematically reviews the mechanisms of histone acetylation， methylation， lactylation， etc. in the pathological process of AS and summarizes the latest research progress in the intervention of AS by the active components and compound prescriptions of TCM through regulating histone modification. Studies have indicated that TCM and its compound prescriptions regulate the activities of histone modification enzymes via multiple targets， showing unique advantages in influencing lipid metabolism and inflammatory response， as well as stabilizing vulnerable plaques and endothelial function. The active components of TCM directly target the activities or expression of histone modification enzymes such as histone acetyltransferases （HATs）， histone deacetylases （HDACs）， histone lysine methyltransferases （KMTs）， and histone lysine demethylases （KDMs）， thereby causing changes in histone modification and ultimately affecting gene expression and pathological phenotype in AS. However， current research still has problems such as insufficient in-depth basic research， unclear intervention effects and mechanisms of AS dynamics， relatively isolated studies on various factors of epigenetic modification， and unclear establishment of quality control standards for TCM compound prescriptions based on epigenetic regulation. In the future， in-depth research is still needed， and the research results should be translated into clinical applications. This article systematically clarifies the key role and mechanism of TCM in regulating the pathological process of AS through epigenetic intervention， providing new ideas for the modernization of TCM and precise prevention and treatment of AS.

Objective: To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening. Methods : From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results: A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764. Conclusion The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.

OBJECTIVE To investigate the application and influencing factors of sodium-dependent glucose transporters 2 inhibitors（SGLT-2i） in patients with heart failure with preserved ejection fraction（HFpEF） in the real world. METHODS Data from 358 patients with HFpEF who were hospitalized at the First Affiliated Hospital of Chongqing Medical University from May 2023 to May 2024 were retrospectively collected. The patients were divided into the SGLT-2i group and the non-SGLT-2i group based on whether they were prescribed SGLT-2i upon discharge. Baseline characteristics， comorbidities， and differences in drug treatment were compared between the two groups. Based on univariate analysis， multivariate Logistic regression analysis was performed to identify independent influencing factors of SGLT-2i use in patients with HFpEF， followed by further stratified analysis. RESULTS Among 358 HFpEF patients， the overall utilization rate of SGLT-2i was 33.5%. Combined with type 2 diabetes [OR＝9.063，95%CI（4.924-16.679） ] ， atrial fibrillation [OR＝3.135，95%CI（1.590-6.178） ] ， coronary artery heart disease [OR＝1.888，95%CI（1.072-3.327） ] and the use of loop diuretics [OR＝3.822， 95%CI （1.588-9.200） ] were all independent influencing factors for the use of SGLT-2i in patients with HFpEF （ P ＜0.05）. The results of the stratified descriptive analysis were consistent with those of the multivariate analysis， showing a higher utilization rate of SGLT-2i among patients with concomitant T2DM，atrial fibrillation， coronary artery heart disease， and those receiving loop diuretics （ P ＜0.05）； whereas the utilization rate of SGLT-2i was comparable across patients with different levels of renal function （ P ＞0.05）. CONCLUSIONS In the real-world clinical practice， the utilization of SGLT-2i in patients with HFpEF remains suboptimal， and treatment coverage still needs to be improved. Their use of SGLT-2i is primarily influenced by the presence of type 2 diabetes， atrial fibrillation， coronary artery heart disease， and the use of loop diuretics.

The common marmoset (Callithrix jacchus), a primate species belonging to the genus Callithrix in the family Callitrichidae, has multiple advantages including small body size, short reproductive cycle, early sexual maturity, 1-3 offspring per litter, and ease of experimental manipulation. It also exhibits behavioral characteristics such as vocal communication and strict monogamy. Common marmosets present unique advantages in neuroscience and brain disease research and are widely used in biomedical fields including neuroscience, gene editing, and ethology. Experimental common marmosets (hereinafter referred to as "experimental marmosets") require management of breeding and use to ensure traceable pedigrees and prevention of inbreeding. Existing management systems developed for rodents or Macaca often cannot effectively meet the practical needs of experimental marmoset management in key aspects such as pedigree tracking and inbreeding warning. To address this issue, the Laboratory Animal Center of the Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences (hereinafter referred to as "the Center") designed and developed a second-generation information management system for marmosets in 2021 based on its first-generation information management system, and the second-generation system was launched in 2023. This second-generation system adopts a B/S architecture, is modular, and features front-end and back-end separation. It uses mainstream technical frameworks, including Spring Boot, MySQL, and Redis, and integrates 16 functional modules such as basic information, pedigree tree, breeding and experimental selection database, microchip identification management, and ethical supervision. Compared with the first-generation system, the second-generation system optimizes the pedigree tree and basic information modules. It also adds new functions, including purpose-based database partitioning, animal status tracking, abnormal alerts, automatic microchip identification task generation, inbreeding warning, ethical document upload and review, and record management. Together, these form a systematic and refined management and service system covering the entire breeding and experimental use of experimental marmosets. From 2023 to 2025, the practical application at the center shows that it has significantly improved the management efficiency and service level of the experimental marmoset management unit, and can provide a reference for the development of information management systems in other institutions using marmosets.