ObjectiveThis paper aims to systematically summarize the construction methods and characteristics of Alzheimer's disease （AD） animal models， providing a reference for improving AD animal models. MethodsLiterature related to AD animal models published between January 2022 and April 2025 was retrieved from China National Knowledge Infrastructure （CNKI）， China Biomedical Literature Database （CBM）， Wanfang Data， and VIP Database. Information such as experimental animal species， month of age， sex， modeling methods， and period， as well as evaluation indicators， was collated， extracted， and imported into Microsoft Excel 2024 to establish the database. In addition， various modeling methods and detection means were summarized and compared. ResultsA total of 400 articles were included. Among the AD animal models， amyloid precursor protein/presenilin-1 （APP/PS1） mice were used most frequently， with a predominance of male animals. Typically， 3-4-month-old rats or 5-6-month-old mice were selected. The main modeling methods included natural aging， accelerated aging， surgical intervention， drug induction， and transgenic technology. The modeling period was mainly concentrated in a single day or 6-8 weeks. Detection indicators of the models focused on physiological， behavioral， pathological-morphological， and biochemical phenotypes. ConclusionThe construction methods of AD animal models are relatively mature， with multifactorial interventions effectively simulating human pathology， though certain limitations remain. By systematically reviewing and analyzing recent experimental literature of AD animal models， this study aims to provide theoretical support and a reference for further improving the construction of the AD animal model.

Diabetic kidney disease（DKD） is a chronic kidney structural and functional disorder caused by diabetes. With the global prevalence of diabetes continuing to rise， DKD has gradually become a major cause of chronic kidney disease and end-stage renal disease（ESRD）， posing a serious threat to patients' quality of life and long-term health outcomes. Studies have shown that apoptosis plays a pivotal role in the development and progression of DKD， with its mechanisms involving abnormal activation of multiple signaling pathways such as Toll-like receptor 4（TLR4）/nuclear transcription factor-κB（NF-κB）/B-cell lymphoma-2（Bcl-2）/cysteinyl aspartate-specific proteinase（Caspase）-3， protein kinase R-like endoplasmic reticulum kinase（PERK）/eukaryotic initiation factor 2α（eIF2α）/activating transcript factor 4（ATF4）/CCAAT enhancer-binding protein homologous protein（CHOP）， phosphatidylinositol 3-kinase（PI3K）/protein kinase B（Akt）/glycogen synthase kinase-3β（GSK-3β）， Janus kinase 2（JAK2）/signal transducer and activator of transcription 3（STAT3）， adenosine monophosphate-activated protein kinase（AMPK）/mammalian target of rapamycin（mTOR） and silent information regulator 1（SIRT1）/tumor suppressor protein 53（p53）， thereby accelerating renal pathological damage in DKD. Extensive evidence-based medical studies have confirmed that traditional Chinese medicine（TCM）， leveraging its unique therapeutic advantages of multi-target， multi-component and multi-pathway approaches， has demonstrated remarkable efficacy and favorable safety profiles in treating DKD. Recent studies have demonstrated that active components of TCM can specifically target and modulate key effectors in apoptotic signaling pathways. Meanwhile， traditional compound formulations exert synergistic effects through multiple approaches such as replenishing deficiency and activating blood circulation， detoxifying and dredging collaterals， tonifying kidney essence， and removing stasis and purging turbidity， thereby comprehensively regulating critical pathological processes including endoplasmic reticulum stress and mitochondrial apoptosis pathways. This combined therapeutic approach of molecular targeting and holistic regulation provides novel strategies for delaying the progression of DKD. Based on this， this paper provides an in-depth analysis of key apoptotic signaling pathways and their regulatory mechanisms， while systematically summarizing recent research advances regarding the therapeutic effects of TCM active components， compound formulations， and proprietary Chinese medicines on DKD through modulation of these pathways， with particular emphasis on their underlying molecular mechanisms. These findings not only elucidate the modern scientific connotation and theoretical basis of TCM in treating DKD but also establish a solid theoretical and practical foundation for promoting the wider clinical application and further research of TCM in the field of DKD treatment.

Objective: To examine the association between parent-child communication frequency about school related matters and depressive symptom risk among children and adolescents and to characterize its dose response pattern, so as to provide a reference for family intervention and school mental health promotion. Methods: Data were obtained from the 2022 China Family Panel Studies(CFPS), conducted from May to December 2022. A total of 1 896 children and adolescents aged 10-15 years were included. The 8 item Center for Epidemiologic Studies Depression Scale (CES-D8) was adopted to assess depressive symptoms among children and adolescents. Data on the parent-child communication frequency about school related matters was obtained from CFPS Child Proxy Questionnaire. Multivariable Logistic regression, sensitivity analyses, and exploratory segmented regression were performed. Results: A total of 375 participants were screened positive for depressive symptoms, with a prevalence of 19.8%. The prevalence decreased from 23.3% in the "never" group to 10.6% in the "very often" group ( χ 2=19.30, P <0.05). In the fully adjusted model, the point estimate for the "very often" group suggested lower odds of a positive screen ( OR =0.52), and the test for trend was statistically significant ( P =0.03). The association was more pronounced among children aged 10-12 years ( OR=0.31, 95%CI=0.11-0.86, P <0.05). Sensitivity analyses yielded directionally consistent results, but the statistical evidence was weakened ( OR=0.83, P trend =0.08). Dose response analysis showed a statistically significant overall association between parent-child communication frequency about school related matters and depressive symptom risk ( P =0.04), with no significant departure from linearity ( P = 0.14 ). Among the prespecified cut points, exploratory segmented regression showed relatively better model fit at an ordinal frequency score of 4.5, between "often" and "very often" (likelihood ratio test P =0.03). However, the overall test for nonlinearity was not statistically significant ( P =0.14), and the finding should therefore be interpreted as exploratory. Conclusion More frequent parent-child communication about school related matters is associated with lower depressive symptom risk, suggesting that routine communication about such matters may help reduce the risk of depressive symptoms in children and adolescents.

Objective: To develop machine learning identification models for the relatively high risk of social-emotional problems among Chinese school-aged children, and compare internal validation performances across different algorithms, so as to provide reference for preliminary identification of relatively high risk in school-aged children s social-emotional problems. Methods: Based on the 2022 proxy-reported data for children from the China Family Panel Studies (CFPS), a total of 3 575 children aged 6-15 years from 2 709 families who completed the survey between May and December 2022 were included. Relatively high risk of social-emotional problems was defined using a composite score constructed from 12 social emotional related items in the CFPS 2022 general questionnaire. Data were split approximately 7∶3 (modeling group: 2 503, validation group: 1 072) by household identifier (ID) to ensure all children from the same family were assigned to the same dataset. Candidate variable selection, missing value imputation parameter fitting, least absolute shrinkage and selection operator (LASSO) feature screening, model training, and hyperparameter tuning were performed within the development set, while internal validation was conducted in the validation set. Weighted AUC, Brier score, sensitivity, specificity, calibration curves, and decision curves were compared across Logistic regression, random forest (RF), gradient boosting decision trees (GBDT), support vector machines (SVM), and extreme gradient boosting (XGBoost). The Shapley additive explanations (SHAP) method was used for exploratory interpretation of the RF model, which achieved the highest AUC value in the validation set. Results: A total of 941 (26.3%) were classified as having relatively high risk of social emotional problems. A total of 659 and 282 high risk cases were in the modeling group and validation group, respectively, with no cross set split of households. LASSO retained 10 features. In the validation set, the RF model achieved the highest AUC of 0.672 (95% CI =0.624-0.717) and a Brier score of 0.184. The Logistic regression model achieved a validation AUC of 0.670 (95% CI =0.624-0.716). The incremental AUC gain of RF over Logistic regression was 0.002 (family cluster paired bootstrap 95% CI =-0.016 to 0.020, P =0.856). Following household ID splitting, all models showed moderate internal validation performance. Although RF achieved the highest numerical value, its incremental gain over Logistic regression was limited. Conclusion The model can serve as a reference for preliminary identification research on the relatively high risk of social emotional problems in school aged children, though its stability and applicability require further validation in external samples.

Objective To systematically evaluate the risk factors for metabolic syndrome in hospitalized patients with schizophrenia in China.Methods Relevant observational studies were retrieved for Chinese schizophrenia patients with metabolic syndrome in Databases,with a retrieval period from the database establishment date to January 12 2025.Two researchers independently screened the literature,extracted data and evaluated the quality of the studies,and a total of 16 articles were included for Meta analysis.Results Age,body mass index,smoking history,disease duration,family history of metabolic syndrome,diabetes history,hypertension history,chlorantraniliprole use,olanzapine use,interleukin-6 levels,leptin levels,triglyceride levels,and high-density lipoprotein cholesterol levels were significant risk factors for metabolic syndrome in hospitalized Chinese schizophrenia patients(P＜0.05).Moderate recreational exercise served as a protective factor(P＜0.05).Conclusion There are many influencing factors for the association of metabolic syndrome in hospitalized patients with schizophrenia in China,and moderate exercise is a protective factor for the association of metabolic syndrome in schizophrenia.In clinical practice,high-risk groups of metabolic syndrome can be actively screened according to relevant risk factors.

Arsenic (organoarsenic) compound is one of the oldest drugs used by humans to treat various diseases. From its initial application in treating various skin diseases to the 1970s when arsenic trioxide (ATO) was proven to be able to significantly relieve acute promyelocytic leukemia (APL), arsenic (organoarsenic) compounds gradually occupied an important position in the history of medical development. This article reviews the pharmaceutical research progress of inorganic arsenic compounds and organic arsine compounds, covering anticancer, antiparasitic, antiviral and antibiotic aspects. It further explores the potential for developing new arsenic (organoarsenic) drugs with higher efficacy and lower toxicity, aiming to provide new research directions and ideas for the application of arsenic (organoarsenic) compounds in disease treatment.

BACKGROUND:Exercise interventions,recognized for their economic and non-pharmaceutical efficacy,have demonstrated the potential to upregulate brain-derived neurotrophic factor levels,thereby offering a therapeutic approach to the prevention and management of Parkinson's disease.However,the specific mechanisms by which exercise targeting brain-derived neurotrophic factor expression to delay Parkinson's disease onset and progression are not clear.OBJECTIVE:To explore the interplay between brain-derived neurotrophic factor and Parkinson's disease,to analyze the specific regulatory effect and mechanism of exercise on the expression of brain-derived neurotrophic factor in the pathological state of Parkinson's disease,to review the improvement effect of different exercise methods mediated by brain-derived neurotrophic factor on Parkinson's disease,to clarify the potential mechanism of exercise therapy targeting brain-derived neurotrophic factor in the prevention and treatment of Parkinson's disease,in order to provide a new theoretical basis for exercise prevention and treatment of Parkinson's disease.METHODS:A systematic literature review was conducted using"Parkinson's disease,brain-derived neurotrophic factor,neuroprotection,dopamine,neuronal apoptosis,neuroinflammation,and synaptic plasticity"as Chinese keywords,and"Parkinson's disease,BDNF,neuroprotection,neuroinflammation,and synaptic plasticity"as English keywords.Databases including CNKI,WanFang Data,PubMed,and Web of Science were searched for relevant articles published up to February 2024.Totally 98 core articles were selected based on inclusion and exclusion criteria.RESULTS AND CONCLUSION:(1)Within the pathophysiological framework of Parkinson's disease,exercise has been shown to stimulate the release of the myokine Irisin and to specifically enhance brain-derived neurotrophic factor expression,counteracting kynurenine pathway metabolic dysregulation.(2)Aerobic activities,notably specialized forms such as Running on a Wheel with Electrical Stimulation(rotarod walking exercise)in animals and Nordic Walking in humans,along with multimodal exercise regimens,have been demonstrated to significantly enhance brain-derived neurotrophic factor expression.This upregulation is instrumental in ameliorating the motor symptoms associated with Parkinson's disease.Furthermore,brain-derived neurotrophic factor is implicated in the beneficial modulation of non-motor symptoms,including cognitive and sleep disturbances,through the practice of mind-body interventions like Tai Chi.(3)Exercise-induced high expression of brain-derived neurotrophic factor exerts a neuroprotective effect through several mechanisms:By upregulating the expression of anti-inflammatory cytokines such as interleukin-10,nerve growth factor-beta,and transforming growth factor-beta,and concurrently downregulating the expression of pro-inflammatory cytokines such as tumor necrosis factor-alpha and interleukin-1 beta,thereby suppressing the activation of microglia via the inhibition of the nuclear factor-kappa B signaling pathway,leading to a reduction in neuroinflammatory responses;by augmenting the activity of tyrosine hydroxylase,which facilitates the synthesis and release of dopamine.This is complemented by the inhibition of matrix metalloproteinase-3 and glycogen synthase kinase-3 beta,preventing the hyperphosphorylation of alpha-synuclein at serine 129,thus counteracting abnormal neuronal apoptosis.By inducing long-term potentiation and promoting the robust expression of post-synaptic density protein 95 and synaptophysin,thereby enhancing synaptic plasticity and exerting a neuroprotective influence that may delay the onset and progression of Parkinson's disease.(4)Considering the pivotal role of brain-derived neurotrophic factor in Parkinson's disease progression and treatment,targeted exercise therapies could advance"Exercise+Medicine"precision medicine for Parkinson's disease.However,current research is limited by a narrow focus on motor symptoms and a lack of diverse exercise protocols.There is a need for more comprehensive,longitudinal studies using varied exercise modalities to better understand and address non-motor symptoms in Parkinson's disease patients to improve the lack of research in the field of Parkinson's disease exercise prevention and treatment.

Objective:To reveal the coupling mechanism of beam temporal profile and tissue oxygen content on radical kinetics, further explain the potential biological basis of the FLASH effect, and provide a reference for beam optimization and treatment planning design of FLASH radiotherapy (FLASH-RT).Methods:TOPAS-nBio v3.0 was used to simulate the physical and chemical processes of electron beams in water, and a full-scale kinetic model was established covering the generation, diffusion, reaction, and quenching of free radicals such as hydroxyl radical (·OH) and hydrated electrons (e aq-). Under different beam temporal profiles (single pulse, multi-pulses, continuous wave irradiation) and different oxygen concentration conditions, the evolution dynamics of free radicals were systematically simulated. At the same time, the data on e aq- content were obtained by experimental measurement of laser absorption spectroscopy to verify the accuracy of the model prediction. Results:The changing trend of e aq- concentration measured in the experiment was highly consistent with the simulation result, verifying the reliability of the constructed model. The beam time structure had a significant impact on the peak value and duration of free radical concentration. The single-pulse structure can cause the free radicals to rapidly increase and then quickly quench in a short time, while the continuous or long-pulse structure can cause the radical concentration to remain at a high level for a long time. The evolution of ·OH was not sensitive to the oxygen environment, while e aq- are greatly affected by the oxygen environment. The scavenging efficiency of free radicals in a hypoxic environment was significantly decreased, leading to an enhanced accumulation of oxidative damage to biological macromolecules. The lifespan of e aq- in an oxygen-rich environment decreased rapidly. Conclusions:Radical kinetics are regulated by both the beam temporal profile and oxygen content. FLASH-RT can utilize single-pulse or multi-pulses intervals to form periodic windows, reducing normal tissue damage by efficiently scavenging free radicals through antioxidants, while free radicals in tumor tissues continuously accumulate and amplify damage, thus generating a selective protective effect.

Arsenic (organoarsenic) compound is one of the oldest drugs used by humans to treat various diseases. From its initial application in treating various skin diseases to the 1970s when arsenic trioxide (ATO) was proven to be able to significantly relieve acute promyelocytic leukemia (APL), arsenic (organoarsenic) compounds gradually occupied an important position in the history of medical development. This article reviews the pharmaceutical research progress of inorganic arsenic compounds and organic arsine compounds, covering anticancer, antiparasitic, antiviral and antibiotic aspects. It further explores the potential for developing new arsenic (organoarsenic) drugs with higher efficacy and lower toxicity, aiming to provide new research directions and ideas for the application of arsenic (organoarsenic) compounds in disease treatment.

Objective To systematically evaluate influence factors hospitalization infections in multiple myeloma(MM)patients after chemotherapy.Methods Computer searches were conducted on relevant literature in CNKI,China Biology Medicine disc,VIP,Wanfang Data Knowledge Service Platform,PubMed,Web of Science,Embase,Cochrane Library and CINAHL from the database inception until December 16,2024.Two researchers independently screened and assessed the quality of the literature,obtained the necessary information,and a Meta-analysis of risk factors was conducted by using RevMan 5.4 software.Results 19 articles were included in total.Meta-analysis results showed that high body mass index,length of stay,smoking history,Eastern Cooperative Oncology Group(ECOG)score,granulocyte deficiency,neutropenia,Durie-Salmon stage,international staging system(ISS)stage and combined with diabetes,renal insufficiency,anemia,hypoalbuminemia were the risk factors for hospitalization infections in patients with MM after chemotherapy(P＜0.05).Conclusion This study provides a reference for intervening in the risk factors of hospitalization infections in MM patients after chemotherapy.Medical staff should prevent infections early based on relevant factors,identify high-risk populations,and maximize the protection of patient health outcomes and good prognosis.