Colorectal cancer （CRC） is one of the most common cancers， with its incidence ranking high among cancers. It stands as the second leading cause of cancer-related death worldwide. In the early stages， CRC lacks specific symptoms， and most patients are diagnosed at advanced stages， making it a major research focus in the field of gastrointestinal tumors. Currently， clinical CRC treatments face several common challenges， including high surgical risks， frequent metastasis and recurrence， drug resistance， and significant side effects from chemotherapy and radiation therapy. With the development and application of traditional Chinese medicine （TCM）， it has been found that TCM and its active ingredients can effectively inhibit CRC cell proliferation， invasion， migration， and angiogenesis， and promote apoptosis and autophagy， thereby slowing the progression of CRC. This has become a key focus of CRC treatment research. Salvia Miltiorrhiza has multiple pharmacological effects， including activating blood circulation to dispel blood stasis， unlocking meridians to relieve pain， clearing heat to calm irritability， and cooling blood to reduce abscesses. It contains a variety of chemical components， including diterpenoids， phenolic acids， flavonoids， polysaccharides， nitrogen-containing compounds， steroids， and lactone compounds. This review summarized the molecular mechanisms of Salvia miltiorrhiza and its active ingredients in the treatment of CRC. It is found that these ingredients exert anti-CRC effects through various molecular mechanisms， including cell cycle arrest， promotion of apoptosis， inhibition of cell invasion and migration， induction of autophagy， suppression of tumor angiogenesis， and remodeling of the tumor microenvironment. The review aims to provide new insights for the drug development and clinical application of Salvia miltiorrhiza in CRC treatment.

Parkinson's disease （PD） is a complex neurodegenerative disease involving multiple systems and neurotransmitters. Due to the high clinical heterogeneity of PD，it is urgent to establish a comprehensive and long-term traditional Chinese medicine （TCM） management model. In this paper，the conceptual framework of full-cycle management of PD is preliminarily constructed：based on the evolution of the pathophysiological mechanisms of protein deposition and neurotransmitter disorder in PD，the three-stage syndrome characteristics of the prodromal stage （predominant healthy Qi with subtle pathogenic factors），the early clinical stage （declining healthy Qi with growing pathogenic factors） and the middle and late stages （overwhelming pathogenic factors with deficient healthy Qi） are longitudinally described. Through the syndrome differentiation of visceral manifestations，the etiology and pathogenesis of PD motor and non-motor symptoms were comprehensively analyzed，while the matching treatment methods and prescriptions were inferred，and the modular scheme of the combining main symptoms，accompanying symptoms and secondary symptoms was proposed. The conceptual gap of TCM regarding motor complications （'variable syndrome'） and PD-related hyperpyrexia syndrome （'critical syndrome'） was explained. This framework reflects the characteristics of combination of disease and syndrome and overall constant motion，and provides new theories and research ideas for individualized and whole-process management of PD in TCM.

Parkinson's disease （PD） is a complex neurodegenerative disease involving multiple systems and neurotransmitters. Due to the high clinical heterogeneity of PD，it is urgent to establish a comprehensive and long-term traditional Chinese medicine （TCM） management model. In this paper，the conceptual framework of full-cycle management of PD is preliminarily constructed：based on the evolution of the pathophysiological mechanisms of protein deposition and neurotransmitter disorder in PD，the three-stage syndrome characteristics of the prodromal stage （predominant healthy Qi with subtle pathogenic factors），the early clinical stage （declining healthy Qi with growing pathogenic factors） and the middle and late stages （overwhelming pathogenic factors with deficient healthy Qi） are longitudinally described. Through the syndrome differentiation of visceral manifestations，the etiology and pathogenesis of PD motor and non-motor symptoms were comprehensively analyzed，while the matching treatment methods and prescriptions were inferred，and the modular scheme of the combining main symptoms，accompanying symptoms and secondary symptoms was proposed. The conceptual gap of TCM regarding motor complications （'variable syndrome'） and PD-related hyperpyrexia syndrome （'critical syndrome'） was explained. This framework reflects the characteristics of combination of disease and syndrome and overall constant motion，and provides new theories and research ideas for individualized and whole-process management of PD in TCM.

To enhance the emergency response capabilities of medical institutions and community public health,and strengthen the efficiency in handling major sudden infectious disease events.METHODS Relying on community grid management and under the integration of medical treatment and disease prevention,a multi-level medical service system was established,funding guarantees were implemented,and software and hardware supports were strengthened by emphasizing infection control training and introducing modern technological means like artifi-cial intelligence.In addition,stratified screening for infectious diseases among different populations was carried out in an orderly manner.RESULTS The grid management model for infectious diseases based on the integration of medical treatment and disease prevention in Suzhou was preliminarily formed and applied to the screening and treatment of COVID-19 and hepatitis C.The epidemic prevention teams,jointly established by medical institutions and community-based medical and preventive organizations,were critical for emergency response to major sud-den infectious diseases and became a key component of epidemic prevention and control.CONCLUSION The grid management strategy for infectious diseases based on the integration of medical treatment and disease preven-tion in Suzhou demonstrates certain reference value in enhancing emergency response capabilities and efficiency for major sudden infectious diseases,as well as in the field of disease prevention and control.

Objective:To explore the relationship between parental neglect and adolescents' internalizing problem behaviors and aggressive behaviors using network analysis methods,as well as the influence of gender on their relationship.Methods:A survey was conducted in 889 middle and high school students with the Child Psycho-logical Abuse and Neglect Scale,Chinese Short Version of Depression Anxiety and Stress Scale(DASS-21),and Buss-Perry Aggression Questionnaire.Include different dimensions of parental neglect and internalizing problem be-haviors and aggressive behaviors as nodes,and use R software for network analysis.Results:In the total sample,the strength of emotional neglect(strength=1.14),anxiety(strength=0.99)and anger(strength=1.06)was high-est.the strength of emotional neglect(strength=1.14)was the highest in parental neglect,the strength of anxiety(strength=0.99)was the highest in internalizing problem behaviors,and the strength of anger(strength=1.06)was the highest in aggressive behaviors.In the male group,the bridge strength of anger(bridge strength=0.44)was the highest.In the female group,the bridge strength of stress(bridge strength=0.27)was the highest.Conclusion:There is a positive correlation between parental neglect,internalizing problem behaviors and aggressive behaviors,and significant gender differences were observed in network structures.

The widespread implementation of low-dose computed tomography screening has led to a substantial rise in the detection of pulmonary nodules,with multiple pulmonary nodules(MPNs)now representing a common clinical presentation.Conventional diagnostic and therapeutic paradigms,characterized by sequential,multi-site processes,are often limited by inefficiency,safety concerns,and suboptimal patient outcomes.In contemporary thoracic surgery,a transformative"one-stop"precision management strategy has emerged within hybrid operating theaters.This integrated approach synergizes intraoperative imaging,advanced navigation,and surgical intervention to address these limitations.Cone-beam CT plays a pivotal role in this model by leveraging its maneuverability,low radiation,and high spatial resolution to greatly facilitate the development of precise diagnosis and treatment for MPNs.

The widespread implementation of low-dose computed tomography screening has led to a substantial rise in the detection of pulmonary nodules,with multiple pulmonary nodules(MPNs)now representing a common clinical presentation.Conventional diagnostic and therapeutic paradigms,characterized by sequential,multi-site processes,are often limited by inefficiency,safety concerns,and suboptimal patient outcomes.In contemporary thoracic surgery,a transformative"one-stop"precision management strategy has emerged within hybrid operating theaters.This integrated approach synergizes intraoperative imaging,advanced navigation,and surgical intervention to address these limitations.Cone-beam CT plays a pivotal role in this model by leveraging its maneuverability,low radiation,and high spatial resolution to greatly facilitate the development of precise diagnosis and treatment for MPNs.

BACKGROUND: Hemorrhagic stroke (HS) is associated with significant disability and mortality. However, the relationship between meteorological factors and hemorrhagic stroke, as well as the potential moderating role of these factors, remains unclear. METHODS: Daily data on HS, air pollution, and meteorological conditions were collected from January 2015 to December 2021 in Ganzhou to analyze the relationship between meteorological factors and HS admissions. This analysis employed a time-stratified case-crossover design in conjunction with a distributional lag nonlinear model. Additionally, a bivariate response surface modelling was utilized to further investigate the interaction between meteorological factors and particulate matter. The study also stratified the analyses by gender and age. To investigate the potential impact of extreme weather conditions on HS, this study defined the 97.5th percentile as representing extremely high weather conditions, while the 2.5th percentile was classified as extremely low. RESULTS: In single-day lags, the risk of admissions for HS was significantly associated with extremely low temperature (lag 1-2 and lag 13-14), extremely low humidity (lag 1 and lag 9-12), and extremely high precipitation (lag 2-7). Females exhibited greater susceptibility to extremely low temperature than males within the single-day lag pattern in the subcomponent layer, with a maximum relative risk (RR) that was 7% higher. In the cumulative lag analysis, the risk of HS admissions was significantly associated with extremely high temperature (lag 0-8∼lag 0-14), extremely low humidity (lag 0-2∼lag 0-14), and extremely high precipitation (lag 0-4∼lag 0-14). Within the cumulative lag day structure of the subcomponent layer, both extremely low and extremely high temperature had a more pronounced effect on females and aged ≥65 years. The risk of HS admissions was positively associated with extremely high barometric pressure in the female subgroups (lag 0-1 and lag 0-2). The highest number of HS admissions occurred when high PM_2.5 concentrations coexisted with low precipitation. CONCLUSIONS Meteorological factors were significantly associated with the risk of hospital admissions for HS. Individuals who were female and aged ≥65 years were found to be more susceptible to these meteorological influences. Additionally, an interaction was observed between airborne particulate matter and meteorological factors. These findings contributed new evidence to the association between meteorological factors and HS.
China/epidemiology* ; Humans ; Female ; Male ; Aged ; Middle Aged ; Cross-Over Studies ; Hospitalization/statistics & numerical data* ; Adult ; Hemorrhagic Stroke/etiology* ; Meteorological Concepts ; Weather ; Particulate Matter/analysis* ; Air Pollution/adverse effects* ; Environmental Exposure/adverse effects* ; Aged, 80 and over ; Young Adult

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss, with few effective treatments currently available. The multifactorial nature of AD, shaped by genetic, environmental, and biological factors, complicates both research and clinical management. Recent advances in artificial intelligence (AI) and multi-omics technologies provide new opportunities to elucidate the molecular mechanisms of AD and identify early biomarkers for diagnosis and prognosis. AI-driven approaches such as machine learning, deep learning, and network-based models have enabled the integration of large-scale genomic, transcriptomic, proteomic, metabolomic, and microbiomic datasets. These efforts have facilitated the discovery of novel molecular signatures and therapeutic targets. Methods including deep belief networks and joint deep semi-non-negative matrix factorization have contributed to improvements in disease classification and patient stratification. However, ongoing challenges remain. These include data heterogeneity, limited interpretability of complex models, a lack of large and diverse datasets, and insufficient clinical validation. The absence of standardized multi-omics data processing methods further restricts progress. This review systematically summarizes recent advances in AI-driven multi-omics research in AD, highlighting achievements in early diagnosis and biomarker discovery while discussing limitations and future directions needed to advance these approaches toward clinical application.

The quality of medical insurance settlement lists directly affects the accuracy and rationality of medical insurance payments. This study analyzed the quality problems existing in L City′s 2023 medical insurance settlement list from three dimensions: integrity, standardization and rationality, and introduced a series of medical insurance settlement list quality management measures implemented with a problem-oriented approach. City L has effectively improved the overall quality of medical insurance settlement list by compiling local medical insurance settlement list filling standards, building a closed-loop model for quality control management of medical insurance settlement lists, establishing a quality grading management system for medical insurance settlement lists, and incorporating the quality of medical insurance settlement lists into performance appraisal and agreement management. The proportion of medical insurance settlement lists with quality problems in the city decreased from 8.12% (87 500 out of 1 077 300) in 2023 to 1.80% (20 700 out of 1 152 000) in 2024. The number of problems related to integrity, standardization, and rationality decreased from 39 900, 129 300, and 105 300 to 12 600, 14 800, and 24 800, respectively. These findings could provide a reference for medical insurance settlement list quality management in other regions.