ObjectiveTo investigate the regulatory effects and underlying mechanisms of Liuhuang Zhike prescription （LHZK） on blood glucose in type 2 diabetic db/db mice based on the AMP-activated protein kinase/protein kinase B/glycogen synthase kinase-3β （AMPK/Akt/GSK-3β） signaling pathway. MethodsDb/db mice were used as the model animals， and db/m mice served as the blank control. Forty db/db mice were randomly divided into the model group， metformin group （0.14 g·kg^-1）， and low-， medium-， and high-dose （4.11， 8.21， 16.43 g·kg^-1） LHZK groups， with 8 mice in each group. The db/db mice in the metformin and LHZK groups were administered the corresponding drugs by gavage， while the blank control and model groups were given distilled water by gavage once daily for 8 consecutive weeks. Food intake， water consumption， body weight， and fasting blood glucose （FBG） were measured weekly. An automatic biochemical analyzer was used to determine glycated serum protein （GSP）， serum triglycerides （TG）， total cholesterol （TC）， high-density lipoprotein cholesterol （HDL-C）， and low-density lipoprotein cholesterol （LDL-C） levels. Hematoxylin-eosin （HE） staining was used to observe pathological morphological changes in the liver and pancreatic tissues. Oil red O staining was used to assess lipid accumulation in liver tissue. The anthrone colorimetric method was used to determine hepatic glycogen content. Real-time quantitative PCR （Real-time PCR） was used to detect the mRNA expression levels of insulin receptor substrate-1 （IRS-1）， Akt2， phosphoenolpyruvate carboxykinase （PEPCK）， and glucose-6-phosphatase （G6Pase） in liver tissue. Western blot was used to detect the protein expression of AMPKα， phosphorylated AMPKα （p-AMPKα）， GSK-3β， p-GSK-3β， glycogen synthase （GS）， and phosphorylated GS （p-GS） in liver tissue. ResultsCompared with the blank control group， the model group showed significantly increased food intake， water consumption， body weight， FBG， and GSP levels （P<0.01）. Pancreatic islets exhibited marked parenchymal cell hyperplasia and interstitial inflammatory cell infiltration. Liver tissue showed obvious steatosis， accompanied by a compensatory increase in hepatic glycogen content （P<0.01）. Hepatic G6Pase mRNA expression was increased， while IRS-1 and Akt2 mRNA expression levels were significantly decreased （P<0.01）. The p-AMPKα/AMPKα protein expression ratio showed a decreasing trend， whereas the p-GSK-3β/GSK-3β and p-GS/GS protein expression ratios were significantly increased （P<0.01）. Compared with the model group， food intake and water consumption showed decreasing trends in all treatment groups. Food intake was significantly reduced in the low- and high-dose LHZK groups and in the metformin group （P<0.05， P<0.01）， and water consumption was significantly reduced in the low-dose LHZK group and in the metformin group （P<0.05， P<0.01）. No statistically significant differences in body weight were observed among the LHZK groups， whereas body weight in the metformin group was significantly increased （P<0.05， P<0.01）. FBG showed a decreasing trend in all treatment groups， with significant decreases in the low-dose LHZK group and the metformin group （P<0.05， P<0.01）. GSP levels were significantly reduced in the low-dose LHZK group and in the metformin group （P<0.05， P<0.01）. Hepatic steatosis and pancreatic pathological injury were alleviated to varying degrees in all treatment groups. Hepatic glycogen content further increased in all treatment groups， with significant increases in the medium- and high-dose LHZK groups （P<0.05）. Real-time PCR results showed that all treatment groups downregulated the mRNA expression of G6Pase and PEPCK in the liver tissues of db/db mice， with significant downregulation of PEPCK mRNA in the low-dose LHZK and metformin groups （P<0.01）. Meanwhile， all treatment groups upregulated IRS-1 and Akt2 mRNA expression， with the most pronounced upregulation observed in the medium-dose LHZK group （P<0.01）. The p-AMPKα/AMPKα protein expression ratio was significantly increased in the low- and medium-dose LHZK groups （P<0.01）. The p-GSK-3β/GSK-3β protein expression ratio was significantly increased in all treatment groups （P<0.05， P<0.01）， whereas the p-GS/GS protein expression ratio was significantly decreased in all treatment groups （P<0.01）. ConclusionLHZK effectively reduces FBG and GSP levels in type 2 diabetic mice and improves hepatic steatosis and pancreatic islet pathological injury. Its hypoglycemic mechanism may be associated with regulation of the AMPK/Akt/GSK-3β signaling pathway and promotion of hepatic glycogen synthesis.

ObjectivePost-ischemic acute inflammation and the subsequent persistent dysregulation of the immune microenvironment represent major pathological drivers that aggravate neuronal injury and severely restrict functional recovery following ischemic stroke. Although current reperfusion therapies partially restore blood flow, they fail to effectively modulate the secondary inflammatory cascade and oxidative stress, which remain critical barriers to neurological restoration. To address this challenge, this study aimed to engineer and systematically evaluate a biomimetic nanosystem composed of transforming growth factor-β1 (TGF-β1)-loaded platelet membrane-camouflaged lipid nanoparticles (PLP). This nanosystem was designed to achieve dual lesion-targeted delivery and immune microenvironment remodeling. By verifying its spatiotemporal accumulation, anti-inflammatory activity, and neuroprotective efficacy, we sought to establish an integrated therapeutic strategy that simultaneously enables lesion targeting, immune regulation, and functional recovery after ischemic injury. MethodsThe physicochemical properties of PLP, including hydrodynamic particle size, zeta potential, structural stability, and morphology, were characterized using dynamic light scattering, zeta potential analysis, and transmission electron microscopy. The preservation of platelet membrane-derived adhesion and immunoregulatory proteins was confirmed by SDS-PAGE through comparative analysis of protein band profiles between PLP and native platelet membranes. The in vitro biological activities of PLP were evaluated using two complementary cellular models. LPS-induced M1-polarized RAW264.7 macrophages were employed to assess inflammatory modulation, while oxygen glucose deprivation/reperfusion (OGD/R)-induced BV2 microglial cells and SH-SY5Y neuronal cells were utilized to investigate neuroinflammatory regulation and neuronal protection. For in vivo validation, a transient middle cerebral artery occlusion (tMCAO) mouse model was established to mimic ischemia-reperfusion injury. The spatiotemporal biodistribution and lesion-targeting capability of the PLP were monitored through live fluorescence imaging. Therapeutic efficacy was comprehensively evaluated by triphenyltetrazolium chloride (TTC) staining, glial fibrillary acidic protein (GFAP) immunofluorescence analysis, body weight monitoring, and neurological severity score (NSS) assessment. ResultsPLP nanoparticles displayed a uniform spherical morphology, nanoscale particle size distribution, and stable negative surface charge, indicating favorable colloidal stability and circulation potential. SDS-PAGE results confirmed the effective retention of key platelet membrane proteins associated with endothelial adhesion, immune evasion, and inflammatory regulation, demonstrating the successful biomimetic construction. Optimal therapeutic concentrations were determined in OGD/R-induced BV2 cells, where PLP exhibited excellent cytocompatibility and anti-inflammatory activity.In vitro experiments demonstrated that PLP significantly inhibited the polarization of RAW264.7 macrophages toward the pro-inflammatory M1 phenotype and markedly reduced neuronal apoptosis under ischemia-reperfusion conditions. In vivo fluorescence imaging revealed that PLP rapidly accumulated in the ischemic brain hemisphere and maintained prolonged retention for up to 7 d, suggesting enhanced lesion-specific targeting and sustained drug release. Compared with control group, PLP treatment significantly reduced cerebral infarct volume, attenuated reactive astrogliosis, improved weight recovery, and accelerated neurological functional restoration, as reflected by significantly improved NSS scores. ConclusionThis study establishes a multifunctional biomimetic nanoplatform that integrates platelet membrane-mediated active targeting with the anti-inflammatory, antioxidative, and neuroprotective properties of TGF-β1. The PLP system enables rapid lesion homing and long-term retention while synergistically regulating the post-stroke inflammatory microenvironment by suppressing pro-inflammatory immune activation, reducing neuronal apoptosis, and limiting excessive astrocyte reactivity. Importantly, this study proposes a conceptually therapeutic paradigm that combines targeted delivery with immune microenvironment remodeling to achieve comprehensive neurovascular protection. These findings provide strong experimental evidence supporting the translational potential of biomimetic nanotherapeutics as next-generation precision interventions for ischemic stroke.

Objectives: . The prognostic value of the pretreatment albumin-to-alkaline phosphatase ratio (AAPR) in head and neck cancer (HNC) remains uncertain. This meta-analysis aimed to evaluate the predictive role of AAPR for survival outcomes in patients with HNC. Methods: . A comprehensive search of the Cochrane Library, PubMed, and Embase databases was conducted to identify relevant studies published up to July 30, 2024. We included studies on AAPR and survival outcomes in HNC patients. Results: . Eight studies comprising 1,737 HNC patients were analyzed using random-effects models. Lower AAPR values were significantly correlated with worse overall survival (hazard ratio [HR], 2.08), progression-free survival (HR, 2.00), and disease-free survival (HR, 2.18). Sensitivity analyses confirmed the robustness of these results, with no significant publication bias detected. Conclusion . Our findings suggest that pretreatment AAPR could serve as a valuable and cost-effective prognostic indicator in HNC, potentially aiding clinicians in risk stratification and treatment decision-making. However, additional validation studies are warranted to confirm its clinical applicability.

ObjectiveTo investigate the association between insulin resistance （IR） and cardiovascular metabolic indicators， including blood pressure， blood lipids， and serum uric acid， in a middle-aged population. MethodsBased on the baseline survey of the Hong Sifang cohort of China National Salt Industry Group， a total of 575 participants were included. According to the homeostasis model assessment of insulin resistance， the participants were divided into an IR group （n=116） and a non-IR group （n=459）. Differences between the two groups were compared using the t-test and chi-square test. Multivariate logistic regression analysis was performed to evaluate the associations between IR and abnormalities in metabolic indicators. ResultsA total of 575 participants were included， including 390 men and 185 women， with a mean age of （48.58 ± 5.14） years and a mean body mass index （BMI） of （24.16 ± 2.97） kg/m². Blood pressure， serum uric acid， and blood lipid levels were significantly higher in the IR group than in the non-IR group （P<0.001）. After adjusting for potential confounders including age， sex， and BMI， IR was independently associated with hypertension， dyslipidemia， and hyperuricemia， with odds ratios （OR） and 95% confidence intervals （CI） of 2.57 （1.61-4.09）， 3.81 （2.36-6.17）， and 2.68 （1.53-4.71）， respectively （all P<0.001）. ConclusionInsulin resistance is significantly associated with multiple cardiovascular metabolic risk factors in the middle-aged population. Monitoring IR may contribute to the early prevention and control of cardiovascular diseases.

This comprehensive review systematically explores the multifaceted applications, inherent challenges, and promising future directions of artificial intelligence (AI) within the medical domain. It meticulously examines AI's specific contributions to basic medical research, disease prevention, intelligent diagnosis, treatment, rehabilitation, nursing, and health management. Furthermore, the review delves into AI's innovative practices and pivotal roles in clinical trials, hospital administration, medical education, as well as the realms of medical ethics and policy formulation. Notably, the review identifies several key challenges confronting AI in healthcare, encompassing issues such as inadequate algorithm transparency, data privacy concerns, absent regulatory standards, and incomplete risk assessment frameworks. Looking ahead, the future trajectory of AI in healthcare encompasses enhancing algorithm interpretability, propelling generative AI applications, establishing robust data-sharing mechanisms, refining regulatory policies and standards, nurturing interdisciplinary talent, fostering collaboration among industry, academia, and medical institutions, and advancing inclusive, personalized precision medicine. Emphasizing the synergy between AI and emerging technologies like 5G, big data, and cloud computing, this review anticipates a new era of intelligent collaboration and inclusive sharing in healthcare. Through a multidimensional analysis, it presents a holistic overview of AI's medical applications and development prospects, catering to researchers, practitioners, and policymakers in the healthcare sector. Ultimately, this review aims to catalyze the deep integration and innovative deployment of AI technology in healthcare, thereby driving the sustainable advancement of smart healthcare.

Objective To explore the effect of chrysin on intestinal flora in mice with alcoholic liver disease(ALD).Methods Mice were randomly assigned to normal control group,ALD model group,Silymarin group,chrysin low-dose group,chrysin high-dose group(25,50 mg·kg-1).The mice were fed with alcoholic liquid diet and a single dose of alcohol(5 g·kg-1)for eight weeks to establish the ALD model.After eight weeks of oral administration,each group's serum and plasma lipids and liver function indices were collected and detected using kits;then collected the liver and observed the pathological changes of the liver using HE staining;meanwhile,intestinal contents were collected and changes in mouse gut flora were analyzed by 16S rDNA sequencing.Results Compared with the ALD group,the level of aspartate transaminase(AST),alanine transaminase(ALT)and triacylglycerol(TG)of low-dose and high-dose chrysin groups were significantly reduced,and it can alleviate liver cell steatosis and inflammatory reactions caused by alcohol.16S rDNA results showed that the total number and types of intestinal flora in the ethanol group were significantly reduced,as well as a change in the dominant genus to Escherichia-Shigella and Akkermansia.Compared to the ALD model group,the Shannon index of the intestinal microbiota increased significantly in mice treated with low and high doses of chrysin.In addition,at the phylum and genus level,the abundance of the high-dose chrysin group increased significantly,resulting in an overall increase in the total number and amount of microbiota.The abundance of dominant bacterial groups,such as Oscillospirales,irmicutes,andAlloprevotella,was also significantly increased.Conclusion Chrysin may exert therapeutic effects on ALD by improving intestinal flora imbalance in ALD mice.

Diabetes-related cognitive impairment(DCI)is a major complication of type 2 diabetes melli-tus(T2DM).Although exercise is essential in alleviating DCI,the underlying mechanisms remain un-clear.The aim of this study is to investigate the role and mechanism of exosomal miR-126a-5p induced by exercise in ameliorating DCI.Twenty-four 16-week-old male db/db mice were randomly divided into dia-betes group(n=12;DM)and exercise intervention group(n=12;DE).The control group consisted of male m/m mice of the same age group(n=12;CON).The DE group underwent 8 weeks of moderate in-tensity treadmill training(10 m/min,5 days a week).In the MWM experiment,compared to the CON group,the DM group exhibited prolonged escape latency(P<0.01),reduced swimming speed and target quadrant time(P<0.001),and decreased expression of miR-126a-5p and EX-miR-126a-5p in hipp-ocampal tissue(P<0.001).After exercise intervention,the DE group showed improved performance with decreased escape latency(P<0.05),increased swimming speed and target quadrant time(P<0.05),and elevated levels of exosomal miR-126a-5p(P<0.001).Morphological staining revealed a de-crease in the expression and proportion of NeuN in hippocampal neurons and an increase in the expression and proportion of glial cells in the CA1 and CA3 regions of DM group mice compared to CON group mice(P<0.05),while DE group mice showed increased fluorescence intensity and proportion of neurons(P<0.05).Western blotting analysis revealed that the DM group also showed significant upregulation of amy-loid β(Aβ),high mobility group box 1(Hmgb1),and NF-κB in the hippocampus(P<0.05),which were reduced after exercise(P<0.05).Moreover,exosomal miR-126a-5p overexpression greatly de-creased the levels of Hmgb1,NF-κB,and amyloid precursor protein(APP)in HT22 cells and TNF-α,IL-1β in supernatant exposed to HG(P<0.05),while inhibition of miR-126a-5p led to increased levels of these proteins(P<0.05).In conclusion,eight weeks of treadmill exercise improved cognitive function in db/db mice,likely through the EXs-miR-126/HMGB1/NF-κB pathway to reduce inflammation in hip-pocampal tissue.

In observational research,a primary objective is to accurately and reliably assess the causal impact of exposure on outcomes.Identifying and properly adjusting for confounding factors is a key prerequisite and central challenge to achieving this goal.Ineffective management of confounders,whether by neglecting significant ones,(leading to residual confounding),or by over-adjusting for irrelevant factors,(introducing collider bias),can distort effect estimates and lead to erroneous scientific conclusions and clinical decisions.Therefore,it is essential to develop and implement systematic,transparent,and reproducible methods for identifying and selecting confounding factors to enhance the validity and reliability of causal inferences in observational studies.This paper provides a systematic review of directed acyclic graphs(DAGs),a robust visual causal modeling tool,and offers a detailed examination of three prominent criteria for selecting confounding factors based on DAGs:the Pre-exposure criterion,the Common cause criterion,and the Modified disjunctive cause criterion.The aim is to equip researchers with a structured and theoretically grounded framework for identifying and selecting confounding factors,thereby improving the process of estimating causal effects in observational studies.

Aim To investigate the effect of PU.1 in-hibitor DB2313 on lupus nephritis in MRL/lpr mice and its mechanism.Methods Thirty female MRL/lpr mice were randomly divided into the model group,DB2313 group and TACI-Ig group,with 10 mice in each group.Another 10 female BALB/c mice were se-lected as normal control groups.Mice in the DB2313 group received intraperitoneal DB2313 injections every two days,and those in the TACI-Ig group received subcutaneous injections of TACI-Ig every two days.Mice in the control group and model group were intra-gastrically given the same amount of 0.9％NaCl injec-tion every day.Before the drug intervention and for 1 to 5 weeks after the intervention,the urine of mice was collected regularly,the urine protein content was meas-ured,and the renal damage index was evaluated.The histopathological changes of kidney were observed by HE,Masson and PAS staining.The expression levels of immune complex of C3 in kidney tissue were detec-ted by immunohistochemistry.The concentrations of u-rea nitrogen(BUN),serum creatinine(Scr),inter-leukin-6(IL-6),and tumor necrosis factor alpha(TNF-α)in the serum samples were assayed utilizing the respective kits.The expression levels of PU.1 and FLT3 in kidney tissues were determined by immunoflu-orescence technology,and the protein expressions of PU.1,FLT3,PI3K,AKT and phosphorylated AKT(p-AKT)in kidney tissues were detected by Western blot.Results DB2313 treatment significantly allevia-ted the pathological damage of kidney in MRL/lpr mice,and reduced the deposition of C3,kidney injury index and 24-hour urine protein in renal tissue.The results of ELISA showed that DB2313 administration could significantly reduce the serum levels of BUN,Scr,IL-6 and TNF-α in MRL/lpr mice.The results of immunofluorescence and Western blot further showed that DB2313 treatment could significantly down-regu-late the protein expression of PU.1,PI3K and p-AKT,and up-regulate the protein expression of FLT3.Con-clusion DB2313 has an ameliorating effect on lupus nephritis in MRL/lpr mice,and its underlying mecha-nism may involve the inhibition of the transcription fac-tor PU.1-mediated signaling pathway.

Game-based psychological assessment utilizes game mechanisms and elements to enhance partic-ipants'motivation and improve measurement accuracy,but similar to traditional methods,it mainly focuses on static results.By integrating game-based psychological assessment with artificial intelligence technology,this paper propo-ses the paradigm of intelligent psychological assessment based on interactive environment.With analyzing dynamic process data within the game,this paradigm can accurately depict the participants'actions and results in the interac-tive context,more effectively representing individual psychological states and behavioral characteristics.This new paradigm demonstrates advancements and significant potential for development in terms of demand,data collection,and analysis techniques.