Lung cancer， with persistently high incidence and mortality rates， remains a significant global health challenge. By taking the study on the experience in diagnosis and treatment of lung cancer with phlegm-dampness and blood stasis syndrome by distinguished traditional Chinese medicine physicians of the Sichuan School as an example， the diagnosis and treatment system for lung cancer with phlegm-dampness and blood stasis syndrome， which was formed in response to the humid and foggy environment of the Sichuan Basin， possesses unique value. However， traditional inheritance modes face challenges such as fragmentation， lack of standardization， and insufficient quantification， which hinder the promotion and application of this experience. This research focused on how to leverage multimodal data and artificial intelligence-generated content （AIGC） to achieve precise analysis， intelligent inheritance， and clinical innovation of the experience in diagnosis and treatment of lung cancer with phlegm-dampness and blood stasis syndrome by distinguished traditional Chinese medicine physicians of the Sichuan School. By integrating multimodal data （encompassing four diagnostic methods of traditional Chinese medicine， modern medical imaging， clinical laboratory tests， molecular biology， and regional environmental information）， a precise diagnosis and treatment system integrating macro and micro perspectives for the "disease， syndrome， and pathogenesis" was constructed. The research yielded the following results： （1） In precise syndrome differentiation， the objective quantification of the phlegm-dampness and blood stasis syndrome was achieved. By constructing a "four diagnostic methods， imaging， and molecule" correlation model， the study revealed intrinsic links between tongue and pulse parameters and the tumor microenvironment， as well as between regional climatic factors and syndrome characteristics， enabling real-time dynamic monitoring of efficacy. （2） In elucidating patterns， the study systematically explored the syndrome differentiation thoughts of Sichuan School physicians， such as the timing of purgation and tonification. A "pathogenesis， syndrome complex， and prescriptions and herb" network model was constructed， which accurately elucidated the synergistic action mechanisms of core herb pairs and quantified the dynamic compatibility patterns of reinforcing healthy Qi and eliminating pathogenic factors. （3） In intelligent empowerment， an auxiliary system integrating intelligent syndrome differentiation， treatment plan generation， and efficacy evaluation was built. This system can fuse regional characteristics with individual data， dynamically generate and optimize personalized prescriptions aligned with the experience of Sichuan School， and predict efficacy trends and potential adverse reactions. The integration of multimodal data and AIGC can effectively facilitate the structured inheritance and clinical translation of distinguished physicians' experience. The established intelligent diagnosis and treatment model integrating traditional Chinese medicine and Western medicine demonstrates clear potential in prolonging patients' progression-free survival， alleviating symptoms， and reducing adverse reactions to treatment. This study provides a referential methodological framework for the traditional Chinese medicine experience in diagnosis and treatment of lung cancer， especially the empirical inheritance and modernized development of regional academic schools. It contributes to advancing clinical diagnosis and treatment toward greater precision and personalization.

Objective　To analyze the clinical distribution of carbapenem-resistant Enterobacter cloacae (CR-ECL) and changes in carbapenemase enzyme types in Ningbo and to provide a guide for the rational application of antibiotics in clinical practice. Methods　Clinical isolates of CR-ECL were selected in a hospital in Ningbo from 2012 to 2022. Bacterial identification and drug sensitivity testing were performed using the VITEK-2 COMPACT automated microbiology system. Strain confirmation was conducted using the VITEK MS mass spectrometry system. The presence of CR-ECL was confirmed using the E-Test method. Carbapenemase production in CR-ECL was determined using a rapid carbapenemase detection kit and polymerase chain reaction (PCR). Results　A total of 1 428 isolates of ECL were detected in a hospital in Ningbo from 2012 to 2022, of which 36 strains were CR-ECL, accounting for 2.52%. The top three sample sources of CR-ECL were sputum (52.78%), urine (19.44%), and bile (13.89%). The patients were mainly from neurosurgery wards (22.22%), general surgery (13.89%), and ICU wards (11.11%). The separation rate of CR-ECL showed no significant difference between different genders and age groups. The resistance rates of CR-ECL to ertapenem, imipenem, and meropenem were 94.44%, 58.33%, and 36.11% respectively. The resistance rates of CR-ECL to third/fourth generation cephalosporins, aztreonam, enzyme-inhibitor complexes, and quinolones were all above 69.50%, significantly higher than those of non-carbapenem-resistant Enterobacter cloacae (NCR-ECL) strains (P<0.05). For aminoglycosides, CR-ECL and NCR-ECL both maintained low resistance rates (0% and 0.22%, respectively). Among the 36 CR-ECL strains, 31 strains (86.11%) were carbapenemase producers, including three types: NDM (28 strains, 77.78%), KPC (4 strains, 11.11%), and IMP (2 strains, 5.56%). The other two carbapenemase types, OXA-48 and VIM, were not detected. The consistency rate between the rapid detection of carbapenem enzyme type and PCR detection was 100%. Conclusions　The detection rate of CR-ECL in a hospital in Ningbo showed a trend of fluctuation. CR-ECL strains are distributed across different departments and various samples of hospitals, with no differences in distribution observed between genders or age groups. Clinical isolated CR-ECL mainly produced NDM-type carbapenemases, but the enzyme types such as KPC and IMP have also emerged in recent years. The rapid identification of carbapenemase types can play an important guiding role in the clinical treatment of CR-ECL infection.

Executive function(EF) is an advanced cognitive function of the central nervous system, and is closely related to an individual's capacity for daily living and adaptation. Patients with attention deficit hyperactivity disorder (ADHD) typically exhibit significant executive dysfunction. While most existing studies on the executive function of individuals with ADHD are cross-sectional, and little is known about the longitudinal maturation process of related brain structures and functional connectivity patterns. The findings indicate that ADHD patients exhibit differential developmental trajectories in brain structural and functional connectivity compared with typically developing group.Furthermore, there is a lifespan association between abnormal brain network development and ADHD symptoms. This article aims to elucidate the characteristics of executive function deficits in ADHD patients across different developmental stages, examining their relationship with the nervous system’s development from a development perspective.

Due to its synergistic effects and reduced side effects, combination therapy has become an important strategy for treating complex diseases. In traditional Chinese medicine (TCM), the "monarch, minister, assistant, envoy" compatibilities theory provides a systematic framework for drug compatibility and has guided the formation of a large number of classic formulas. However, due to the complex compositions and diverse mechanisms of action of TCM, it is difficult to comprehensively reveal its potential synergistic patterns using traditional methods. Synergistic prediction based on molecular compatibility theory provides new ideas for identifying combinations of active compounds in TCM. Compared to resource-intensive traditional experimental methods, artificial intelligence possesses the ability to mine synergistic patterns from multi-omics and structural data, providing an efficient means for modeling and optimizing TCM combinations. This paper systematically reviews the application progress of AI in the synergistic prediction of TCM active compounds and explores the challenges and prospects of its application in modeling combination relationships, thereby contributing to the modernization of TCM theory and methodological innovation.
Artificial Intelligence ; Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal/pharmacology* ; Humans ; Drug Synergism

Background Manganese is an essential trace element for the human body and maintains normal development of many organs including the brain. However, long-term exposure to a high manganese environment or excessive manganese intake will lead to manganese poisoning and result in neurological diseases, and currently no effective treatment plan is available. Objective To develop an animal model for subchronic manganese exposure and assess the impact of Dendrobium nobile Lindl. alkaloids (DNLA) on manganese associated behavioral and hippocampal effects in rats. Methods Fifty male SPF SD rats were randomly allocated into a control group (0.9% normal saline by intraperitoneal injection), two experimental groups [7.5 mg·kg⁻¹ (low) or 15 mg·kg⁻¹ (high) of MnCl₂·4H₂O by intraperitoneal injection], and two DNLA antagonistic groups [15 mg·kg⁻¹ MnCl₂·4H₂O by intraperitoneal injection then either 20 mg·kg⁻¹ (low) or 40 mg·kg⁻¹ (high) DNLA by oral administration]. All groups of rats were adminaistered 5 d per wek, once a day, for consecutive 13 weeks. Following modeling, neurobehavioral assessments were conducted using open field, Morris water maze, and Y maze. Inductively coupled plasma mass spectrometry (ICP-MS) was utilized to measure manganese levels in the blood and brain tissues of the rats, and hematoxylin-eosin (HE) staining was employed to examine neuronal morphological changes in the hippocampal tissues of the rats. Results The neurobehavioral tests revealed that the manganese-exposed rats exhibited decreased total movement distance, prolonged central zone dwelling time, and reduced motor activity in the open field test, indicating tendencies toward depression and anxiety (P<0.05). In the Y-maze test, the mean exploration distance in the novel arm, the number of entries into the novel arm, and the time spent in the novel arm of the managanses-exposed rats were all reduced, while the latency period increased, suggesting impaired spatial exploration and learning-memory functions (P<0.05). In the Morris water maze navigation test, the escape latency was significantly longer in the manganese-exposed rats compared to the control group, and the number of platform crossings decreased in the spatial probe test, indicating a significant decline in spatial learning and memory (P<0.05). The ICP-MS analysis showed elevated manganese concentrations in the blood and hippocampus of the exposed rats (P<0.05), and the histopathological observation revealed hippocampal damage. Following the DNLA intervention, the manganese-exposed rats showed increased total movement distance and reduced central zone dwelling time in the open field test (P<0.05). In the Y-maze test, the mean exploration distance in the novel arm, the number of entries into the novel arm, and the time spent in the novel arm increased, while the latency period decreased, suggesting alleviation of anxiety and improved exploratory behavior (P<0.05). In the Morris water maze test, the escape latency gradually shortened, and both the number of platform crossings and the percentage of time spent in the target quadrant increased, indicating improved spatial learning and memory (P<0.05). Additionally, the manganese levels in the blood and hippocampus decreased (P<0.05), and the hippocampal pathological changes were partially restored. Conclusion DNLA demonstrates the ability to counteract multiple neurotoxic effects following the elevation of manganese levels in the blood and hippocampal tissues of rats induced by subchronic manganese exposure. Specifically, DNLA is shown to ameliorate the behavioral alterations observed in rats after manganese exposure, and mitigate the hippocampal damage in manganese-exposed rats.

Ferroptosis is a programmed cell death depends on iron and lipid peroxidation,which has been recognized as the key pathogenic factor for the occurrence of various diseases in recent years,especially playing a significant role in neurodegenerative diseases.Ferroptosis triggers lipid peroxidation and oxidative stress in neuronal cells,leading to neuronal damage and death,thereby accelerating disease progression.Hydrogen sulfide,as an endogenous gaseous signaling molecule,exhibits multiple protective effects,including anti-inflammatory,antioxidant,and anti-ferroptosis properties.Hydrogen sulfide can effectively inhibit the occurrence of ferroptosis through various mechanisms,such as regulating iron metabolism,inhibiting lipid peroxidation,and enhancing the activity of antioxidant enzymes,thereby slowing down the progression of neurodegenerative diseases.This article reviews the related research progress on hydrogen sulfide and ferroptosis and ferroptosis-mediated neurodegenerative diseases,and analyzes the underlying mechanisms,aims to provide new insights and theoretical foundations for the treatment of neurodegenerative diseases.

With the deepening of the aging population, China's healthcare resources and social security systems are facing increasingly significant challenges.Concurrently, the field of geriatric medicine is experiencing vigorous development, with the Chinese Medical Association playing a pivotal role in the discipline construction of geriatrics.This article will systematically outline the current development landscape, core achievements, existing challenges, and future directions of geriatric medicine in China.

Executive function(EF) is an advanced cognitive function of the central nervous system, and is closely related to an individual's capacity for daily living and adaptation. Patients with attention deficit hyperactivity disorder (ADHD) typically exhibit significant executive dysfunction. While most existing studies on the executive function of individuals with ADHD are cross-sectional, and little is known about the longitudinal maturation process of related brain structures and functional connectivity patterns. The findings indicate that ADHD patients exhibit differential developmental trajectories in brain structural and functional connectivity compared with typically developing group.Furthermore, there is a lifespan association between abnormal brain network development and ADHD symptoms. This article aims to elucidate the characteristics of executive function deficits in ADHD patients across different developmental stages, examining their relationship with the nervous system’s development from a development perspective.

Ferroptosis is a programmed cell death depends on iron and lipid peroxidation,which has been recognized as the key pathogenic factor for the occurrence of various diseases in recent years,especially playing a significant role in neurodegenerative diseases.Ferroptosis triggers lipid peroxidation and oxidative stress in neuronal cells,leading to neuronal damage and death,thereby accelerating disease progression.Hydrogen sulfide,as an endogenous gaseous signaling molecule,exhibits multiple protective effects,including anti-inflammatory,antioxidant,and anti-ferroptosis properties.Hydrogen sulfide can effectively inhibit the occurrence of ferroptosis through various mechanisms,such as regulating iron metabolism,inhibiting lipid peroxidation,and enhancing the activity of antioxidant enzymes,thereby slowing down the progression of neurodegenerative diseases.This article reviews the related research progress on hydrogen sulfide and ferroptosis and ferroptosis-mediated neurodegenerative diseases,and analyzes the underlying mechanisms,aims to provide new insights and theoretical foundations for the treatment of neurodegenerative diseases.

Objective:This study employs a combination of single-cell sequencing and Mendelian randomization to explore the genetic associations and molecular mechanisms of Eomes in RCC.Methods:In this study,single-cell transcriptomic data from RCC tissues and adjacent normal tissues were extracted from the GEO database.The data were analyzed using R language and various packages such as Seurat,limma,and CellChat for cell cluster annotation,intercellular communication analysis,and differential expression analysis.Additionally,eQTL data related to differentially expressed genes were retrieved from the GWAS database as exposure variables,with RCC used as the outcome variable in Mendelian randomization analysis to identify the role of Eomes in RCC.Finally,GO functional enrichment and KEGG pathway analyses were conducted to explore the potential molecular mechanisms of Eomes.Results:Single-cell RNA sequencing revealed that B cells play a significant role in the heterogeneity of RCC.Mendelian randomization analysis indicated that Eomes is an important risk factor for RCC(P＜0.05).Furthermore,seven highly correlated specific SNPs were identified,including rs 17021298,rs2247056,rs2617170,rs3806624,rs55908509,rs6590334,and rs9420589.GO and KEGG enrichment analyses suggest that Eomes may be involved in early cell fate determination in renal cell carcinoma and participate in the regulation of Th1 and Th2 cell differentiation,HPV infection,and the Notch signaling pathway.Conclusions:This study is the first to combine single-cell sequencing and Mendelian randomization analysis in RCC,confirming a strong positive causal relationship between Eomes and RCC(OR＞1).Our findings offer new insights into the pathogenesis of RCC,suggesting that Eomes could serve as a novel target for early diagnosis and personalized treatment of RCC.