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.

Background: Coughing and hemodynamic fluctuations during emergence from anesthesia after a craniotomy can result in serious complications. This study evaluated whether the ultrasound-guided superior laryngeal nerve block (SLNB) attenuates these tracheal tube-related responses. Methods: Eighty patients scheduled for elective craniotomy were randomized into the control (Group C, 2 ml 0.9% saline per side) and SLNB (Group S, 2 ml 1% lidocaine per side) group. The primary outcome was the incidence of coughing during the recovery period. Secondary outcomes included the severity of coughing, hemodynamic fluctuations, need for rescue interventions, anesthesia-related parameters, and complications. Results: Compared to controls, the patients in Group S experienced a significantly reduced incidence (78.9% vs. 48.6%; P = 0.006) and severity (P < 0.001) of coughing during emergence. The mean arterial pressure and heart rate were also more stable during and after extubation in Group S than in Group C. Furthermore, Group S required a significantly lower dose of nicardipine during the emergence period (P = 0.032), and both the incidence of and visual analog scale scores for postoperative sore throat at 6 h after extubation were markedly reduced (P = 0.035). No significant differences were noted between the groups in terms of propofol consumption, emergence agitation, extubation time, post-anesthesia care unit stay duration, or complications. Conclusions The SLNB significantly suppressed extubation-related responses during anesthetic emergence after craniotomy by reducing coughing and attenuating hemodynamic fluctuations, thereby contributing to a smoother emergence profile.

ObjectiveTo investigate the effect of Naoqingtong decoction （NQT） on the kidney damage and the inflammatory factors NOD-like receptor protein 3 （NLRP3）， apoptosis-associated speck-like protein containing a C-terminal caspase recruitment domain （ASC）， cysteinyl aspartate-specific proteinase-1 （Caspase-1）， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α） in spontaneously hypertensive rats （SHRs）. MethodsTwenty-four SHRs were randomized into a model group， a low-dose （12.9 g·kg^-1·d^-1） NQT （NQT-L） group， a high-dose （25.8 g·kg^-1·d^-1） NQT group （NQT-H）， and a captopril （CTP， 20 mg·kg^-1·d^-1） group， with 6 rats in each group. In addition， 6 homozygous male Wistar-Kyoto rats were used as the control group. The control and model groups were administrated with the same amount of normal saline by gavage for 8 weeks. General behaviors of rats were observed during the intervention period， and the blood pressure was measured periodically. At the end of intervention， the body mass was weighed， and both kidneys were collected and weighed for the calculation of the renal index. Hematoxylin-eosin staining was performed to observe the pathological changes in the kidney tissue. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot were employed to determine the expression levels of NLRP3， ASC， Caspase-1， IL-6， and TNF-α in the kidney tissue. ResultsDuring the experiment period， the control group had normal mental status， food intake， and activity， while the model group showed thinning of hair， loss of luster， reduced activity， loss of appetite， fecal adhesion， and irritability， and some of the skin had scratches or blood scabs. The above symptoms were alleviated to different degrees after 8 weeks of NQT administration. An intelligent non-invasive sphygmomanometer was used to measure the tail artery pressure of rats， which showed that the systolic and diastolic blood pressure of rats in the model group was higher than that in the control group （P<0.01）. Compared with the model group， drug interventions lowered the systolic and diastolic blood pressure （P<0.05， P<0.01）. Compared with the control group， the model group showed severe pathological damage in the kidney tissue， which was alleviated in each drug intervention group. Compared with the control group， the model group showed up-regulated expression levels of NLRP3， ASC， Caspase-1， IL-6， and TNF-α in the kidney tissue （P<0.05， P<0.01）. Compared with the model group， the drug intervention groups showed down-regulated expression levels of NLRP3， ASC， Caspase-1， IL-6， and TNF-α in the kidney tissue （P<0.05， P<0.01）. ConclusionNQT can lower the blood pressure in SHRs by inhibiting the activation of NLRP3 inflammasomes， suppressing renal inflammation， and ameliorating hypertensive kidney damage.

Diabetes is a very complex endocrine disease whose common feature is the increase in blood glucose concentration. Persistent hyperglycemia can lead to blindness, kidney and heart disease, neurodegeneration, and many other serious complications that have a significant impact on human health and quality of life. The number of people with diabetes is increasing yearly. The global diabetes prevalence in 20-79 year olds in 2021 was estimated to be 10.5% (536.6 million), and it will rise to 12.2% (783.2 million) in 2045. The main modes of intervention for diabetes include medication, dietary management, and exercise conditioning. Medication is the mainstay of treatment. Marketed diabetes drugs such as metformin and insulin, as well as GLP-1 receptor agonists, are effective in controlling blood sugar levels to some extent, but the preventive and therapeutic effects are still unsatisfactory. Peptide drugs have many advantages such as low toxicity, high target specificity, and good biocompatibility, which opens up new avenues for the treatment of diabetes and other diseases. Currently, insulin and its analogs are by far the main life-saving drugs in clinical diabetes treatment, enabling effective control of blood glucose levels, but the risk of hypoglycemia is relatively high and treatment is limited by the route of delivery. New and oral anti-diabetic drugs have always been a market demand and research hotspot. Inhibitor cystine knot (ICK) peptides are a class of multifunctional cyclic peptides. In structure, they contain three conserved disulfide bonds (C3-C20, C7-C22, and C15-C32) form a compact “knot” structure, which can resist degradation of digestive protease. Recent studies have shown that ICK peptides derived from legume, such as PA1b, Aglycin, Vglycin, Iglycin, Dglycin, and aM₁, exhibit excellent regulatory activities on glucose and lipid metabolism at the cellular and animal levels. Mechanistically, ICK peptides promote glucose utilization by muscle and liver through activation of IR/AKT signaling pathway, which also improves insulin resistance. They can repair the damaged pancrease through activation of PI3K/AKT/Erk signaling pathway, thus lowering blood glucose. The biostability and hypoglycemic efficacy of the ICK peptides meet the requirements for commercialization of oral drugs, and in theory, they can be developed into natural oral anti-diabetes peptide drugs. In this review, the structural properties, activity and mechanism of ICK pattern peptides in regulating glucose and lipid metabolism were summaried, which provided a reference for the development of new oral peptides for diabetes.

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.

Purpose: Interviews play a crucial role in the medical school selection process, although little is known about interviewers’ non-verbal observable communications (NoVOC) during the interviews. This study investigates how interviewers perceive NoVOC exhibited by interviewees in two medical schools, one in Taiwan and the other in Australia. The study also explores potential cross-cultural differences in these perceptions. Methods: A 26-item questionnaire was developed using a Delphi-like method to identify NoVOC. Interviewers from the University of New South Wales, Australia, and National Yang Ming Chiao Tung University, Taiwan (n=47 and N=78, respectively) rated these NoVOC between 2018 and 2021. Factor analyses identified and validated underlying factors. Measurement invariance across countries and genders was examined. Results: A total of 125 interviewers completed the questionnaire, including 78 from Taiwan and 47 from Australia. Using exploratory factor analysis, 14 items yielded reliable three factors “charming,” “disengaged,” and “anxious” (Cronbach’s α=0.853, 0.714, and 0.628, respectively). The measurement invariance analysis indicated that the factor models were invariant across genders but significantly different between the two countries. Further analysis revealed inconsistencies in interpreting the “anxious” factor between Taiwan and Australia. Conclusion The three distinct factors revealed in this study provide valuable insights into the NoVOC that interviewers perceive and evaluate during the interview process. The findings highlight the importance of considering non-verbal communication in selecting medical students and emphasize the need for training and awareness among interviewers. Understanding the impact of non-verbal behaviors can improve selection processes to mitigate bias and enhance the fairness and reliability of medical student selection.

Objective To explore the predictive value of MRI parameters of carotid artery plaque combined with low density lipoprotein cholesterol/high density lipoprotein cholesterol(LDL-C/HDL-C)ratio for predicting ischemic stroke in young patients with carotid atherosclerosis.Methods Totally 125 young patients with carotid atherosclerosis were prospectively included and divided into stroke group and non-stroke group based on whether ischemic stroke occurred within 3 months.Clinical data,laboratory indicators and carotid plaque-related MRI parameters were compared between groups.Based on carotid plaque-related MRI parameters being statistically different between groups,combined model 1 was constructed using multivariable logistic regression analysis,while combined model 2 was constructed combined with LDL-C/HDL-C ratio.The efficacy of each parameter and model for predicting ischemic stroke in young adults was analyzed.Results There were 48 cases in stroke group and 77 cases in non-stroke group.The levels of glycosylated hemoglobin,LDL-C,LDL-C/HDL-C ratio,carotid artery stenosis rate,plaque eccentricity index and plaque enhancement rate in stroke group were all higher than those in non-stroke group(all P＜0.05).The area under the curve(AUC)of LDL-C/HDL-C ratio,carotid artery stenosis rate,plaque eccentricity index,plaque enhancement rate,combined model 1 and 2 for predicting ischemic stroke in young adults was 0.816,0.757,0.768,0.805,0.883 and 0.936,respectively,of combined model 1 was higher than those of single parameter(all P＜0.05),while of combined model 2 was higher than that of combined model 1(Z=2.336,P=0.020).Conclusion MRI parameters of carotid artery plaque combined with LDL-C/HDL-C ratio could effectively predict ischemic stroke in young patients with carotid atherosclerosis.

Objective To establish a risk factor model for intracranial artery stenosis in young patients with acute ischemic stroke(AIS)based on high-resolution magnetic resonance vascular wall imaging(HR-VWI).Methods Young patients with AIS(n=290)treated at Hengshui People's Hospital between January 2021 and January 2023 were retrospectively analyzed and randomly divided into a modeling set(203 cases)and a validation set(n=87)at a ratio of 7∶3.Patients in the modeling set were divided into the stenosis and non-ste-nosis groups according to whether they had intracranial artery stenosis.Multivariate logistic regression was used to analyze the clinical data and HR-VWI characteristics of the patients in the modeling set to screen for factors influencing intracranial artery stenosis in young patients with AIS.R software was used to construct and verify the risk factor model.Results Among the 290 patients,88 had intracranial artery stenosis(30.34％).The proportions of low-density lipoprotein cholesterol(LDL-C),plaque load,smoking history,hypertension,and eccentric plaques were higher in the stenosis group than in the non-stenosis group(P＜0.05),and the minimum lumen area and remode-ling index were lower in the stenosis group than in the non-stenosis group(P＜0.05).Multivariate logistic regression analysis showed that smoking history,hypertension,LDL-C level,plaque load,plaque morphology,and remodeling index were all factors influencing intracra-nial artery stenosis in young patients with AIS(P＜0.05).Based on the above risk factors,R was used to build a nomogram early warning model.The ROC results showed that the AUC of the nomogram model for predicting intracranial artery stenosis in the modelling and vali-dation sets were 0.872(95％CI:0.815-0.902)and 0.850(95％CI:0.789-0.891),respectively.The Hosmer-Lemeshow test results of the modeling and validation sets were x2=0.589,P=0.571 and x2=0.602,P=0.558,respectively.The calibration curves of the two groups were consistent with the standard curves.Conclusion The risk factor model for intracranial artery stenosis in young patients built in this study based on HR-VWI features exhibits good predictive efficacy,providing a new method for clinical prevention and treatment.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.