ObjectiveThe research focuses on developing modeling and evaluation methodologies for an animal model exhibiting spleen deficiency and dampness excess syndrome， with the aim of standardizing such animal models for future reference. MethodsBy conducting a literature search on animal models of spleen deficiency and dampness excess syndrome， relevant publications meeting inclusion and exclusion criteria will be identified based on publication date， data source， types of diseases involved， animal characteristics， modeling methods， modeling duration， macroscopic syndrome assessment indicators， macroscopic quantification indicators， laboratory testing parameters， intervention approaches， positive controls and application context. A database will be established to facilitate the extraction of this information for quantitative analysis， statistical evaluation， and visual representation. ResultsA total of 137 literature articles meeting the standards have been included in the research. The primary animal species used in animal models of spleen deficiency and dampness excess are SD rats. Modeling methods include single-factor， dual-factor composite， and triple-factor composite methods， with various models widely applied in validation of pharmacological effects and mechanistic explorations. Evaluation indices of animal models for spleen deficiency and dampness excess primarily consist of macroscopic syndrome evaluation indicators and macroscopic quantitative indicators. Laboratory testing indicators are mostly related to research areas such as fluid metabolism and gastrointestinal function. The most commonly studied herbal formulas currently include Shenling Baizhu San and Pingwei San， with natural recovery and the use of the western medicine metronidazole as the most frequently used positive controls. ConclusionThe application of animal models for spleen deficiency and dampness excess is gradually increasing， with various modeling methods already simulating the typical characteristics of this syndrome pattern. However， there are still many areas that are worth contemplating and improving. This study aims to provide reference and ideas for the standardization of symptom names in animal models of spleen deficiency and dampness excess， as well as for the improvement of model construction and evaluation systems.

Clinical practice guidelines represent the best recommendations for patient care. They are developed through systematically reviewing currently available clinical evidence and weighing the relative benefits and risks of various interventions. However, clinical practice guidelines have to go through a long translation cycle from development and revision to clinical promotion and application, facing problems such as scattered distribution, high duplication rate, and low actual utilization. At present, the clinical practice guideline information platform can directly or indirectly solve the problems related to the lengthy revision cycles, decentralized dissemination and limited application of clinical practice guidelines. Therefore, this paper systematically examines different types of clinical practice guideline information platforms and investigates their corresponding challenges and emerging trends in platform design, data integration, and practical implementation, with the aim of clarifying the current status of this field and providing valuable reference for future research on clinical practice guideline information platforms.

The pharmaceutical industry faces challenges in quality digitization for complex multi-stage processes, especially in small-sample systems. Here, an intelligent quality prediction and diagnostic (IQPD) framework was developed and applied to Tong Ren Tang's Niuhuang Qingxin Pills, utilizing four years of data collected from four production units, covering the entire process from raw materials to finished products. In this framework, a novel path-enhanced double ensemble quality prediction model (PeDGAT) is proposed, which combines a graph attention network and path information to encode inter-unit long-range and sequential dependencies. Additionally, the double ensemble strategy enhances model stability in small samples. Compared to global traditional models, PeDGAT achieves state-of-the-art results, with an average improvement of 13.18% and 87.67% in prediction accuracy and stability on three indicators. Additionally, a more in-depth diagnostic model leveraging grey correlation analysis and expert knowledge reduces reliance on large samples, offering a panoramic view of attribute relationships across units and improving process transparency. Finally, the IQPD framework integrates into a Human-Cyber-Physical system, enabling faster decision-making and real-time quality adjustments for Tong Ren Tang's Niuhuang Qingxin Pills, a product with annual sales exceeding 100 million CNY. This facilitates the transition from experience-driven to data-driven manufacturing.

The diagnosis of hematological disorders is currently established from the combined results of different tests, including those assessing morphology (M), immunophenotype (I), cytogenetics (C), and molecular biology (M) (collectively known as the MICM classification). In this workflow, most of the results are interpreted manually (i.e., by a human, without automation), which is expertise-dependent, labor-intensive, time-consuming, and with inherent interobserver variability. Also, with advances in instruments and technologies, the data is gaining higher dimensionality and throughput, making additional challenges for manual analysis. Recently, artificial intelligence (AI) has emerged as a promising tool in clinical hematology to ensure timely diagnosis, precise risk stratification, and treatment success. In this review, we summarize the current advances, limitations, and challenges of AI models and raise potential strategies for improving their performance in each sector of the MICM pipeline. Finally, we share perspectives, highlight future directions, and call for extensive interdisciplinary cooperation to perfect AI with wise human-level strategies and promote its integration into the clinical workflow.

Ferroptosis has been shown to mediate the development of fibrosis. Polyphyllin VII (PP7), a bioactive component of Paris polyphylla, exhibits potent anti-inflammatory activity and can significantly alleviate liver fibrosis. In this study, treatment with PP7 significantly inhibited the proliferation and activation of hepatic stellate cells (HSCs), which could be suppressed by a ferroptosis inhibitor. In addition, it promoted HSC ferroptosis by suppressing glutathione (GSH) peroxidase 4 (GPX4) and enhanced the expression of CX3C chemokine ligand 1 (CX3CL1). Depletion of CX3CL1 attenuated the effects of PP7 on the activation and ferroptosis of HSCs and the expression of GPX4. Notably, CX3CL1 directly interacted with GPX4, triggering HSC ferroptosis. The transcription factor hypermethylated in cancer 1 (Hic1), which binds to the Cx3cl1 promoter, increased the expression of CX3CL1. Its absence resulted in downregulation of CX3CL1, suppressing the GPX4-dependent ferroptosis of PP7-treated HSCs and promoting their activation. HIC1 was found to directly interact with PP7 at the GLY164 site. Co-culture experiments showed that PP7-induced HSC ferroptosis attenuated macrophage recruitment by regulating inflammation-related genes. HSC-specific inhibition of HIC1 counteracted PP7-induced collagen depletion and HSC ferroptosis in vivo. These findings suggest that PP7 induces HSC ferroptosis through the HIC1/CX3CL1/GPX4 axis.

Central fatigue refers to the central nervous system disease caused by excessive mental pressure or excessive physical activity, which shows a series of fatigue symptoms. The pathological mechanism of central fatigue remains unclear, and the mitochondrial quality control pathway represented by mitophagy is closely related to the occurrence and development of central fatigue. Traditional Chinese medicine considers liver stagnation and spleen deficiency as the key pathogenesis of central fatigue. This paper suggests that oxidative stress may be an important basis for the occurrence of central fatigue, energy metabolism disorders are specific manifestations of liver′s failure of conveyance and dispersion and spleen′s failure of healthy transportation, and the abnormal accumulation of reactive oxygen can be regarded as pathological products of central fatigue. Therefore, based on oxidative stress and energy metabolism, the pathologic mechanism of liver′s failure of conveyance and dispersion and spleen′s failure of healthy transportation in central fatigue from the perspective of mitophagy has a rich theoretical connotation, and provides a theoretical reference for the clinical treatment of central fatigue.

Total mesorectal excision is the standard procedure for the treatment of low and medium rectal cancer. Anastomotic leakage has always been one of the serious complications in these patients. Blood supply, tension and intestinal condition are important factors affecting anastomotic quality. How to optimize the surgical technique and reduce the occurrence of anastomotic leakage is the goal of surgeons. Based on traditional total mesorectal excision, we integrated several surgical techniques, including (1) Preserving the left colic artery; (2) High ligation of the inferior mesenteric vein; (3) Patterned mobilization of the spleen flexure and left transverse colon; (4) Multi-plane mesocolic tailoring; (5) Selective anastomosis suturing, and proposed the concept of multi-technique integrated total mesorectal resection (MTI-TME). The application of MTI-TME in clinical practice and significance was discussed.

Background::Breast cancer is ranked among the most prevalent malignancies in the Chinese female population. However, comprehensive reports detailing the latest epidemiological data and attributable disease burden have not been extensively documented.Methods::In 2018, high-quality cancer surveillance data were recorded in 700 population-based cancer registries in China. We extracted data on female breast cancers (International Classification of Diseases, Tenth Revision [ICD-10]: C50) and estimated the incidence and mortality in 2022 according to the baseline data and corresponding trends from 2010 to 2018. Pathological types were classified according to the ICD for Oncology, 3rd Edition codes. Disability-adjusted life years (DALYs) were calculated as the sum of the years of life lost (YLLs) and years lived with disability (YLDs).Results::In 2022, approximately 357,200 new female breast cancer cases and 75,000 deaths occurred in China, accounting for 15.59% and 7.94% of total new cancer cases and deaths, respectively. The age-standardized incidence rate (ASIR) was 33.04 per 100,000. When analyzed by pathological type, the ASIRs for papillary neoplasms, invasive breast carcinoma, rare and salivary gland-type tumors, and other types were 1.13, 29.79, 0.24, and 1.88 per 100,000, respectively. The age-standardized mortality rate (ASMR) was 6.10 per 100,000. A total of 2,628,000 DALYs were found to be attributable to female breast cancer in China, comprising 2,278,300 YLLs and 349,700 YLDs. The ASIR, ASMR, and age-standardized rate (ASR) for DALYs in urban areas were consistently higher than those in rural areas. We observed a four-fold increase in the ASIR and ASR for DALYs and an eight-fold increase in the ASMR among females over 55 years compared with those aged under 55 years.Conclusion::These data provide invaluable insights into the latest epidemiology of female breast cancer in China and highlight the urgency for disease prevention and control strategy formulation.

Objective To design and optimize the detection system for cerebral hemorrhage for overcoming the limitations in microwave detection system,such as expensive equipment,complex antenna gating switch system and redundant antenna channels.Methods The system adopted the simplest patch antenna structure,optimized the antenna gating switch system and reduced the number of channels by radiofrequency switch chip strategy.The simulated cerebral hemorrhage was sampled and detected through the optimized detection system;and pattern recognition method was used to distinguish whether there was cerebral hemorrhage.Results XGBoost algorithm model showed superior performance in the task of cerebral hemorrhage recognition,with an accuracy of 1.000 on the test set,an average accuracy of 0.973 in K-fold cross-validation,and an accuracy of 0.996 on the training set.Conclusion The optimized cerebral hemorrhage detection system which has high detection accuracy and reliability has the potential to identify cerebral hemorrhage.

Hip fracture in the elderly is characterized by high incidence, high disability rate, and high mortality and has been recognized as a public health issue threatening their health. Surgery is the preferred choice for the treatment of elderly patients with hip fracture. However, lower extremity deep venous thrombosis (DVT) has an extremely high incidence rate during the perioperative period, and may significantly increase the risk of patients′ death once it progresses to pulmonary embolism. In response to this issue, the clinical guidelines and expert consensuses all emphasize active application of comprehensive preventive measures, including basic prevention, physical prevention, and pharmacological prevention. In this prevention system, basic prevention is the basis of physical and pharmacological prevention. However,there is a lack of unified and definite recommendations for basic preventive measures in clinical practice. To this end, the Orthopedic Nursing Professional Committee of the Chinese Nursing Association and Nursing Department of the Orthopedic Branch of the China International Exchange and Promotive Association for Medical and Health Care organized relevant nursing experts to formulate Expert consensus on perioperative basic prevention for lower extremity deep venous thrombosis in elderly patients with hip fracture ( version 2024) . A total of 10 recommendations were proposed, aiming to standardize the basic preventive measures for lower extremity DVT in elderly patients with hip fractures during the perioperative period and promote their subsequent rehabilitation.