BACKGROUND:During diabetic wound healing,the sustained activation of M1 macrophages exacerbates the inflammatory response and hinders wound repair.Auranofin,an anti-inflammatory drug,has not been clearly studied for its effects on M1 macrophages and its potential role in diabetic wound healing.OBJECTIVE:To investigate the effects of different concentrations of auranofin on the biological function of M1 macrophages and evaluate its potential application in diabetic wound healing.METHODS:RAW264.7 and THP-1 cells were used as research models.M1 polarization was induced using different concentrations of interferon-γ and lipopolysaccharide.M1 macrophages were treated with 1 and 2 μmol/L auranofin.Cell counting kit-8 assay was used to evaluate the effect of auranofin on cell viability.Quantitative real-time PCR was performed to detect mRNA expression of interleukin-1β,interleukin-6,and tumor necrosis factor-α.ELISA was employed to measure the levels of interleukin-1β,interleukin-6,and tumor necrosis factor-α in the supernatant.Western blot analysis was used to assess the expression of nuclear factor-κB(p65),phosphorylated mitogen-activated protein kinases(MAPK),and total MAPK proteins.Additionally,6-8-week-old male C57BL/6J and db/db diabetic mice were used for wound healing experiments,with the mice divided into C57 control,db/db control and auranofin treatment groups,each containing six animals.Dorsal skin defect modeling and treatment with intraperitoneal injection of auranofin were performed to observe wound healing in mice.RESULTS AND CONCLUSION:(1)Cell experiments showed that co-treatment with interferon-y(10 ng/mL)and lipopolysaccharide(100 ng/mL)significantly induced M1 polarization in RAW264.7 and THP-1 cells,resulting in increased mRNA expression of interleukin-1β,interleukin-6,and tumor necrosis factor-α.Treatment with auranofin(1 and 2 μmol/L)reduced the mRNA expression of these inflammatory factors in the cells and inhibited the secretion of inflammatory factors in the cell supernatant.(2)Auranofin treatment significantly suppressed the activation of nuclear factor-κB(p65)and phosphorylated MAPK signaling pathways.(3)Animal experiments showed that auranofin promoted wound healing in db/db diabetic mice,suggesting that auranofin has strong anti-inflammatory effects and may facilitate the healing of wounds in diabetic mice.

Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.

This study employed the drug affinity responsive target stability (DARTS) technique to investigate the molecular mechanism of the antipsychotic drug penfluridol against melanoma, revealing the biological pathway to exert its effect on the HSPA6/p53/p21 signaling axis. Experiments such as the methylthiazolyldiphenyl-tetrazolium bromide (MTT) assay and cell colony formation ability assay confirmed that penfluridol could significantly downregulate the expression of cyclin D1 and cyclin-dependent kinase 4 (CDK4) in melanoma A375 and B16 cells, induce cell cycle arrest in the G1 phase, and thus inhibit the proliferation of melanoma cells. Meanwhile, the results of Western blot, Hoechst 33342 staining and Annexin V-FITC/PI double staining experiments showed that penfluridol could significantly downregulate the expression of Bcl-2 and upregulate the expression of Bax and cleaved caspase-3, inducing cell apoptosis. Further, the DARTS technique was used to identify heat shock 70 kD protein 6 (HSPA6) as the key target bound by penfluridol. Penfluridol activates the p53/p21 pathway by upregulating HSPA6. Knocking down HSPA6 reverses not only the activation of the p53/p21 pathway mediated by penfluridol but also the associated cell cycle arrest and apoptosis. Animal experiments on tumor-bearing mice also confirmed that knocking down HSPA6 could reverse the in vivo anti-tumor activity of penfluridol. This study clarified that penfluridol can inhibit the progression of melanoma by targeting HSPA6 to activate the p53/p21 signaling axis, providing a new perspective for the repositioning of antipsychotic drugs in cancer treatment.

BACKGROUND:During diabetic wound healing,the sustained activation of M1 macrophages exacerbates the inflammatory response and hinders wound repair.Auranofin,an anti-inflammatory drug,has not been clearly studied for its effects on M1 macrophages and its potential role in diabetic wound healing.OBJECTIVE:To investigate the effects of different concentrations of auranofin on the biological function of M1 macrophages and evaluate its potential application in diabetic wound healing.METHODS:RAW264.7 and THP-1 cells were used as research models.M1 polarization was induced using different concentrations of interferon-γ and lipopolysaccharide.M1 macrophages were treated with 1 and 2 μmol/L auranofin.Cell counting kit-8 assay was used to evaluate the effect of auranofin on cell viability.Quantitative real-time PCR was performed to detect mRNA expression of interleukin-1β,interleukin-6,and tumor necrosis factor-α.ELISA was employed to measure the levels of interleukin-1β,interleukin-6,and tumor necrosis factor-α in the supernatant.Western blot analysis was used to assess the expression of nuclear factor-κB(p65),phosphorylated mitogen-activated protein kinases(MAPK),and total MAPK proteins.Additionally,6-8-week-old male C57BL/6J and db/db diabetic mice were used for wound healing experiments,with the mice divided into C57 control,db/db control and auranofin treatment groups,each containing six animals.Dorsal skin defect modeling and treatment with intraperitoneal injection of auranofin were performed to observe wound healing in mice.RESULTS AND CONCLUSION:(1)Cell experiments showed that co-treatment with interferon-y(10 ng/mL)and lipopolysaccharide(100 ng/mL)significantly induced M1 polarization in RAW264.7 and THP-1 cells,resulting in increased mRNA expression of interleukin-1β,interleukin-6,and tumor necrosis factor-α.Treatment with auranofin(1 and 2 μmol/L)reduced the mRNA expression of these inflammatory factors in the cells and inhibited the secretion of inflammatory factors in the cell supernatant.(2)Auranofin treatment significantly suppressed the activation of nuclear factor-κB(p65)and phosphorylated MAPK signaling pathways.(3)Animal experiments showed that auranofin promoted wound healing in db/db diabetic mice,suggesting that auranofin has strong anti-inflammatory effects and may facilitate the healing of wounds in diabetic mice.

Objective To explore the predictive performance of machine learning models integrating clinico-pathological features and inflammatory markers for lymphovascular invasion (LVI) before gastric cancer surgery. Methods A retrospective cohort of 193 gastric cancer patients from The First Hospital of Lanzhou University (training set) and 185 patients from Zhongshan Hospital, Fudan University (validation set) was included. Preoperative clinical pathological characteristics, tumor markers, and inflammatory markers were collected to identify independent risk factors for LVI. Six machine learning models were established in the training set. Model performance was evaluated using area under the receiver operating characteristic (ROC) curve (AUC), calibration curve, decision curve analysis (DCA), and Brier scores. Shapley additive explanations (SHAP) was applied for model interpretability. Results The multivariate logistic regression showed increased tumor invasion depth (T-stage), lymph node metastases (N-stage), and the systemic immune-inflammation index (SII) were independent risk factors for gastric cancer LVI (P＜0.05). Using these three indicators, 6 machine learning models were developed, all of which demonstrated favorable predictive performance, with 0.79 and 0.76 of minimum AUC values in the training set and the validation set, respectively. Among them, the light gradient boosting machine (LightGBM) model exhibited the best overall performance, achieving AUCs of 0.83 and 0.82 in the training set and the validation set, along with Brier scores of 0.163 and 0.187, respectively. Calibration and DCA curves further confirmed that the model possesses strong predictive accuracy and application value. SHAP analysis showed the feature importance in LightGBM model, identifying the N-stage as the top contributor, followed by the T-stage and the SII. Conclusion The machine learning models incorporating clinical pathological features and inflammatory indicators can effectively predict LVI status in gastric cancer, with the LightGBM model demonstrating optimal performance.

Objective To explore the method for establishing a pig left lung orthotopic transplantation model. Methods A total of 4 male Yorkshire pigs weighing (40.0±2.5) kg underwent surgical procedures, including anesthesia, tracheal intubation, donor lung procurement, and recipient lung transplantation. Histological morphology and blood gas analysis of the transplanted lungs were assessed 2 hours after reperfusion to evaluate the histological changes and function of the transplanted lungs. Results The pigs underwent left lung in situ transplantation, effectively simulating conditions relevant to human lung transplantation. Two hours after the transplantation, arterial blood gas analysis showed that arterial partial pressure of oxygen was 155.4-178.6 mm Hg, arterial partial pressure of carbon dioxide was 53.1-62.4 mm Hg, and the oxygenation index was 310.8-357.2 mm Hg. Hematoxylin and eosin staining indicated a low degree of pulmonary edema and minimal cellular infiltration. Conclusion The pig left lung orthotopic transplantation model possesses strong operability and stability. Researchers can replicate this model according to the described methods and further conduct basic research and explore clinical translational applications.

Background and purpose:Epithelial ovarian cancer(EOC)has a poor prognosis and is prone to developing resistance to platinum-based chemotherapy.Exosomes are currently believed to be involved in platinum resistance in ovarian cancer.This study explored the role and mechanism of exosomes on platinum resistance of ovarian cancer.Methods:Through ultracentrifugation,exosomes were isolated and analyzed using electron microscopy,particle size studies,and Western blot for detailed exosome analysis.We detected the expression levels of exosomal proteins and related signaling pathways.Exosomal protein expression profile was analyzed by proteomics.Key differential proteins were screened by intersecting with existing drug resistance datasets.Furthermore,patients diagnosed with EOC via pathological analysis at the Fudan University Shanghai Cancer Center from August 2023 to August 2024,who underwent surgery and fulfilled the eligibility requirements,were gathered to examine the link between the expression of interferon-stimulated gene 15(ISG15)in serum exosomes and resistance to platinum medication.The expression levels of related proteins in serum exosomes were quantitatively detected by enzyme-linked immunosorbent assay(ELISA).Receiver operating characteristic(ROC)curve was plotted to explore the predictive value of serum exosomal protein in ovarian cancer resistance.Results:Exosomes derived from platinum-sensitive and drug-resistant ovarian cancer cells were extracted and proteomic analysis was further performed.We identified 9 differential proteins associated with platinum-resistance and found the key molecule interferon-stimulated gene 15(ISG15).Compared with sensitive cells,the expression of ISG15 in exosomes of drug-resistant ovarian cancer cells was significantly upregulated.Exosome tracer tests showed that exosomes were successfully taken up by ovarian cancer receptor cells.After coculture with drug-resistant exosomes,the expression level of ISG15 in ovarian cancer receptor cells was increased.Knockdown ISG15 in EOC cells decreased the expression of ISG15 in exosomes,and incubation of ISG15-knockdown exosomes decreased the cell viability on the condition of platinum drugs,indicating that ISG15 in exosomes regulated platinum resistance of ovarian cancer cells.Moreover,ISG15 could regulate the expression of multidrug resistance protein 1(MDR1)through phosphoinositide 3-kinase(PI3K)/protein kinase B(AKT)/nuclear factor-kappa-light-chain-enchancer of activated B cells(NF-κB)signaling pathway.This study included a total of 87 patients.Clinical serum samples also showed that the expression of ISG15 in exosomes was higher in platinum-resistant ovarian cancer patients than in sensitive ovarian cancer patients.Using serum exosomal ISG15 as an indicator to distinguish between sensitivity and resistance,the area under ROC curve was 0.779(P＜0.05),cutoffvalue was 27.35ng/mL,sensitivity was 70.2%,and specificity was 76.4%.Conclusion:ISG15 in exosomes can regulate the expression of MDR1 in ovarian cancer cells through PI3K/AKT/NF-κB signaling pathway,and promote platinum resistance in ovarian cancer cells.

Alzheimer's disease(AD),a neurodegenerative disorder,manifests pathological changes in the brain even during the asymptomatic stage.As the pathological burden intensifies,patients experience functional decline in multiple cognitive domains,including memory,language,spatial perception,executive function,and calculation,and may also exhibit emotional abnormalities.Once AD progresses,treatment becomes extremely chal-lenging.Therefore,early diagnosis and accurate prediction of disease conversion are core tasks in the prevention and treatment of AD,and they are also urgent scientific research challenges to be overcome.Deep learning(DL)models demonstrate considerable advantages in the diagnosis,prediction,classification,and feature extraction of AD,offering new hope for solving this challenging problem.This research commences with a concise introduction to the outcomes of AD and the fundamental knowledge of deep learning.Subsequently,it offers an overview of the imaging studies on the utilization of deep learning for predicting disease transformation from two perspectives.Firstly,it systematically summarizes the existing DL models that have demonstrated innovation in the classification and prediction performance of AD.Secondly,it provides a comprehensive outline of the DL fusion models applied to the diagnosis,classification,and prediction of AD.Finally,this paper expounds upon the impending challenges in the research of this domain.This article demonstrates that deep learning models is cutting-edge trends in the ex-ploration of AD research.

Objective To investigate the compressive relaxation behavior of cartilage in different regions of the knee joint at different strain rates,and construct the viscoelastic mechanics of cartilage in each region,so as to provide a reference for the prevention of cartilage-related diseases and the development of cartilage repair materials.Methods The knee cartilage of beagle dogs was regionally divided,and the uniaxial unconfined compressive relaxation properties of cartilage in each region were tested by a universal testing machine at different strain rates,and the constitutive models were constructed.Results The cartilage exhibited a notable stress attenuation.Furthermore,the normalized stress reduction increased significantly with increasing strain rate.For cartilage in lateral plateaus of tibia,the normalized stress reduction at strain rate 5×10-4 s-1 was 19%,and increased to 69%at strain rate 5×10-2 s-1.The relaxation equilibrium stress remained relatively constant at all strain rates.The Ogden-Prony viscoelastic model of cartilage in each region was developed with a goodness of fit R2>0.98.Conclusions The knee cartilage demonstrates a significant viscoelastic response in relaxation tests,exhibiting the rate-dependent and region-dependent properties.The Ogden-Pony viscoelastic model can reflect the strain rate-dependent stress relaxation behavior of cartilage.

Objective To assess the efficacy and the survival rate of the hip joint following the treatment of osteonecrosis of the femoral head(ONFH)with ultrasound-guided percutaneous intra-articular platelet-rich plasma(PRP)injection in combination with percutaneous silver needle thermalolysis.Methods Fifty-six patients diag-nosed with ARCO(Association Research Circulation Osseous)stage Ⅱ ONFH were randomly allocated into two groups.The first group,designated as the PRP injection combined with silver needle thermalolysis group(Group R,n=28),and the second group,the steroid injection combined with silver needle thermalolysis group(Group S,n=28).Both groups underwent three injections(administered at 4-week intervals)and one session of silver needle thermalolysis.Outcome measures,including the Numerical Rating Scale(NRS)for pain assessment,Harris Hip Score(HHS),daily consumption of non-steroidal anti-inflammatory drugs(etoricoxib)and tramadol,progression to ARCO stage Ⅲ,and the rates of surgical intervention,were recorded at baseline,3 days,and 1,3,6,and 12 months after the treatment.Results When compared to the baseline,both groups manifested significant decreases in NRS scores and enhancements in HHS at all follow-up time points(P<0.05).Specifically,Group R demonstrated more favorable outcomes compared to Group S.At 3,6,and 12 months,Group R had lower NRS scores(P<0.01)and more notable improvements in HHS(P<0.01).Additionally,the daily analgesic consumption(etoricoxib and tramadol)in Group R was significantly lower than that in Group S at 3,6,and 12 months(P<0.01).Moreover,Group R exhibited a significantly lower progression rate to ARCO stage III and a lower hip replacement surgery rate(P<0.05).Conclusions Ultrasound-guided intra-articular PRP injection in combination with silver needle therma-lolysis expedites pain alleviation,enhances hip function,reduces analgesic dependence,and retards the progression of ONFH.This approach thus represents a clinically viable option for early-stage intervention.