The pathogenesis of metabolic dysfunction-associated steatotic liver disease （MASLD） is fundamentally rooted in spleen deficiency and is closely associated with phlegm turbidity， damp-heat and blood stasis. Clinically， liver constraint with spleen deficiency and internal retention of damp turbidity represent the predominant traditional Chinese medicine （TCM） syndrome patterns. Researches have indicated intrinsic connections between the syndrome patterns and biological indicators such as gut microbiota and metabolic profiles. Regarding treatment， classical famous formulas， modern empirical formulas， and newly developed TCM drugs show positive effects in regulating glucose and lipid metabolism， improving insulin resistance， and alleviating metabolic inflammation， exhibiting multi-target mechanisms of action； acupuncture and other external therapies also provide adjunctive value. Nevertheless， current researches still have limitations such as the lack of high-quality clinical evidence and insufficient systematic elucidation of the uncerlying mechanisms. Future efforts should focus on conducting high-quality TCM clinical trials with hard endpoint outcomes such as hepatic histology outcomes， and utilizing modern technologies like multi-omics to elucidate TCM's mechanisms of action， thereby advancing the position of TCM as a first-line therapeutic strategy for MASLD.

Patients with lung cancer experience a heavy symptom burden during the perioperative period, which seriously affects their recovery and quality of life. Traditional symptom management models rely mainly on scheduled ward rounds during hospitalization and outpatient follow-up after discharge. However, they have limitations such as delayed symptom recognition, lack of post-discharge monitoring, and non-quantitative symptom assessment, which often lead to delayed interventions and low patient satisfaction. In recent years, the symptom management model based on electronic patient-reported outcomes (ePRO) has been increasingly valued in clinical practice. Existing high-level evidence from both domestic and international studies indicates that, through proactive monitoring, real-time alerts, and remote interventions, this model enables dynamic and continuous symptom management and helps improve patient recovery and healthcare experience. As a supplement to routine medical care, the ePRO-based symptom management model aims to enhance the quality of care rather than replace existing medical processes. To promote the standardized application of this model in perioperative lung cancer care, this consensus integrates domestic and international evidence. After multiple rounds of voting by more than 50 experts, it formulates 12 consensus statements covering the three core components, symptom monitoring, alerting, and intervention, to provide scientific and practical recommendations for clinical practice.

Objective:To analyze the multi antigen distribution characteristics of Rh blood group system in Shunde area of Guangdong Province,explore the feasibility of Rh phenotype compatible blood transfusion for blood recipients in this area,and formulate the precise blood transfusion strategies.Methods:From June 2022 to December 2024,113 226 hospitalized patients scheduled for blood transfusion in Shunde Hospital of Southern Medical University and 30 832 blood donors'blood samples provided by Shunde central blood station in the same period were detected for ABO blood group and Rh phenotype by microcolumn gel method,and the Rh phenotype data of the recipients and blood donors were compared and analyzed.Results:Among 113 226 blood samples,112 963 cases(99.77％)were RhD positive,with CCDee(54.96％)and CcDEe(28.21％)phenotypes being the main phenotypes;263 cases(0.23％)were RhD negative,with ccDee(50.19％)and CcDee(36.88％)as the main phenotype.Among 30 832 blood donor samples,CCDee(54.65％)and CcDEe(27.93％)were the main phenotypes of Rh phenotype with RhD positive.The positive rates of D,C,c,E and e antigens of blood recipients and blood donors were in the same order from high to low D＞e＞C＞c＞E.The frequency of e antigen in RhD positive recipients with different ABO blood groups was statistically different from that of blood donors(P＜0.05),while there was no statistical difference in the other four antigens(P＞0.05),the distribution of ccDEe phenotypes was statistically different(P＜0.05),but there was no statistical difference in the distribution of other eight phenotypes(P＞0.05).In RhD positive recipients,the probability of finding compatible blood for phenotype CcDEe was 100％,the probability of finding compatible blood for phenotype CCDee,CCDEe and DcDee was 54％-65％,and the probability of finding compatible blood for other phenotypes was less than 10％.Providing blood with CCDee and ccDEE phenotypes according to Rh blood matching scheme can meet the needs of more than 99％of patients with 9 Rh phenotype compatible blood transfusion in this region.Conclusion:Rh phenotype detection should be carried out for hospitalized patients to be transfused,and the precise transfusion strategy of Rh phenotype isotype or compatibility should be implemented to make the transfusion treatment of patients more safe and reliable.

Aim To explore the mechanism of the effect of siRNA-mediated MAGE-3 silencing on intesti-nal flora,gastric mucosal PTEN expression and liver metastasis in rats with gastric cancer based on MAPK/ERK signaling pathway.Methods Thirty rats were randomly divided into the normal(CO)group,model(MO)group,and MAGE-3 silenced(SM)group,with 10 rats in each group.The model of MO group and SM group was established by MNNG gavage meth-od.After successful modeling,the SM group was intri-toneally injected with 20 μg·kg-1 shRNA MAGE-3 lentiviral vector.The number of intestinal flora in rats was detected by selective medium of intestinal flora,the expression of PTEN in gastric mucosa was detected by immunohistochemistry,liver metastasis was detected by HE staining,and the protein expression of MAPK/ERK signaling pathway was detected by Western blot.The regulatory effect of siRNA-mediated MAGE-3 si-lencing on MAPK/ERK signaling pathway was verified in vitro.Results Compared with CO group,the con-tents of Enterococcus and Escherichia coli,the protein expressions of P-MEK1,P-ERK1 and P-ELK1 in MO group increased(P＜0.05),while the contents of Lactobacillus and Bifidobacterium and the expression of PTEN decreased(P＜0.05).In SM group,the con-tents ofEnterococcus,Escherichiacoli,P-MEK1,P-ERK1 and P-ELK1 protein expressions decreased(P＜0.05),while the contents of Lactobacillus,Bifidobac-terium and PTEN expression increased(P＜0.05).Compared with group CO,the protein expressions of P-MEK1,p-ERK1 and P-ELK1 in group MO were not significantly different(P＞0.05),while the protein expressions of P-MEK1,p-ERK1 and P-ELK1 in group SM were reduced compared with group MO(P＜0.05).Conclusions siRNA-mediated MAGE-3 si-lencing can significantly improve intestinal flora,pro-mote the expression of PTEN in gastric mucosa,and inhibit liver metastasis in rats with gastric cancer.The mechanism may be related to the inhibition of MAPK/ERK signaling pathway.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective: To explore the impact of sleep quality, experience of childhood maltreatment, and their interaction on depressive symptoms among middle school students, so as to provide the reference for early intervention of depressive symptoms among middle school students. Methods: From September to December 2023, a questionnaire survey was conducted among 1 231 students from two secondary schools in Harbin, Heilongjiang Province by a convenient sampling method. The survey included general demographic information, Childhood Trauma Questionnaire Short Form, Pittsburgh Sleep Quality Index and Short Version of Center for Epidemiological Studies Depression Scale. The Chi square test was used to analyze the differences in depressive symptom, sleep quality and childhood maltreatment among students with different demographic characteristics. Correlation analysis was conducted using Logistic regression, and interaction analysis was performed by both additive and multiplicative interaction models. Results: The detection rate of depressive symptoms among middle school students was 22.7%, and the rate for high school students (35.2%) was significantly higher than that for middle school students (17.0%) ( χ 2=50.35, P <0.01). The detection rates of depressive symptoms among middle school students with a history of childhood maltreatment and poor sleep quality were 45.8% and 44.0%, respectively. Multivariate Logistic regression analysis showed that compared to students without a history of childhood maltreatment, students with a history of childhood maltreatment had a higher risk of depressive symptoms ( OR =4.49，95% CI =3.31~ 6.09 , P <0.01);students with poor sleep quality had a higher risk of depressive symptoms than students with good sleep quality ( OR = 5.99，95% CI =4.37~8.22, P <0.01).The interaction results showed that the presence of childhood maltreatment and poor sleep quality had an additive interaction on the occurrence of depression in middle school students. Compared with students without childhood maltreatment and having good sleep quality, students with childhood maltreatment and poor sleep quality had a 22.49 times higher risk of developing depression ( OR =22.49，95% CI =14.22~35.59, P <0.01). Conclusion Depressive symptoms among middle school students are associated with childhood maltreatment and poor sleep quality, and there is an additive interaction between childhood maltreatment and poor sleep quality on the impact of depressive symptoms.

Facing of mounting resource constraints and rising demands for personalization in medical education,regional anatomy teaching urgently requires transformation.In this paper,we focus on the regional anatomy of the thoracic wall,in order to explore a novel AI-driven teaching paradigm.Anchored in the core principle of"virtual-real integration with cadaveric dissection as the cornerstone,"the paradigm redefines educational objective and constructs an intelligent,closed-loop teaching model integrating students,computers,and instructors.Leveraging the robust support of digital intelligence(e.g.,DeepSeek),this paradigm incorporates interactive method including group collaboration,branching instruction,and gamified assessments.It achieves a comprehensive intelligent transformation of the entire teaching process-from goal setting and plan customization to activity implementation,task completion,outcome exchange,multidimensional evaluation,and reflective iteration.This new paradigm centers on medical students and leverages digital intelligence to activate deep personalized learning potential.It seamlessly integrates fundamental anatomical knowledge with clinical scenarios(e.g.,key anatomy in breast cancer surgery,flap design in breast reconstruction),and significantly enhances clinical decision-making abilities,scientific research and innovative thinking,as well as medical humanistic literacy,paving a new path for intelligent medical education.

Alzheimer's disease (AD) is the major form of dementia in the elderly and is closely related to the toxic effects of microglia sustained activation. In AD, sustained microglial activation triggers impaired synaptic pruning, neuroinflammation, neurotoxicity, and cognitive deficits. Accumulating evidence has demonstrated that aberrant expression of deubiquitinating enzymes is associated with regulating microglia function. Here, we use RNA sequencing to identify a deubiquitinase YOD1 as a regulator of microglial function and AD pathology. Further study showed that YOD1 knockout significantly improved the migration, phagocytosis, and inflammatory response of microglia, thereby improving the cognitive impairment of AD model mice. Through LC-MS/MS analysis combined with Co-IP, we found that Myosin heavy chain 9 (MYH9), a key regulator maintaining microglia homeostasis, is an interacting protein of YOD1. Mechanistically, YOD1 binds to MYH9 and maintains its stability by removing the K48 ubiquitin chain from MYH9, thereby mediating the microglia polarization signaling pathway to mediate microglia homeostasis. Taken together, our study reveals a specific role of microglial YOD1 in mediating microglia homeostasis and AD pathology, which provides a potential strategy for targeting microglia to treat AD.

Combined with elastic network model (ENM), the perturbation response scanning (PRS) has emerged as a robust technique for pinpointing allosteric interactions within proteins. Here, we proposed the PRS analysis of drug-target networks (DTNs), which could provide a promising avenue in network medicine. We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework, for drug repurposing of multiple sclerosis (MS). First, the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes. Then, based on topological analysis and functional annotation, the neurotransmission module was identified as the "therapeutic module" of MS. Further, perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis, giving a list of repurposable drugs for MS. Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of serotonin 2B receptor (HTR2B). Finally, we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex. These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS. As a useful systematic method, our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.