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.

Transfusion and Anemia Expertise Initiative-Control/Avoidance of Bleeding developed a strategy for platelet and plasma infusion management in critically ill children based on systematic reviews and consensus meetings of international multidisciplinary experts. One good practice statement and six expert consensus statements were proposed for plasma and platelet transfusions in critically ill children following severe trauma, traumatic brain injury, and/or intracranial hemorrhage. This article introduces the specific methods and basis for the formation of recommendations in this part of the guide.

ObjectiveTo study the chemical constituents of Painong powder and the constituents absorbed into blood after oral administration to rats by ultra performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry （UPLC-Q-Orbitrap-MS）. MethodsUPLC-Q-Orbitrap-MS was employed for mass spectrometry data acquisition. The chemical constituents of Painong Powder and the constituents absorbed into blood were characterized and identified via Xcalibur 4.2 and Compound Discoverer v3.3.1 （CD） based on retention time， accurate molecular weights， secondary fragmentation ions， and comparison with reference standards and literature reports. ResultsA total of 176 chemical compounds， including 56 flavonoids， 42 triterpenoid saponins， 23 monoterpenes， 7 coumarins， 5 tannins， and other 43 compounds were identified from Painong powder. 49 components were identified in the rat plasma after oral administration of Painong powder， including 33 prototype constituents and 16 metabolites. The major metabolic pathways included hydrolysis in phase Ⅰ metabolic reactions， as well as methylation， sulfation， and glucuronidation in phase Ⅱ metabolic reaction. ConclusionThe method comprehensively identified the chemical constituents of Painong powder both in vitro and in vivo， and may provide a reference for the study of quality control and clinical applications.

ObjectiveTo develop a machine learning (ML)-based prediction model for neurological rehabilitation outcomes of stroke patients. MethodsA total of 420 stroke patients admitted to the Fuzhou First People's Hospital from October, 2022 to October, 2024 were enrolled as the training set. According to the modified Rankin Scale (mRS) scores three months after discharge, the patients were divided into prognosis group (n = 289) and poor prognosis group (n = 131). An additional 180 stroke patients hospitalized in the same hospital from November, 2024 to April, 2025 were selected as the validation set. Univariate analysis, least absolute shrinkage and selection operator regression, and multivariate logistic regression were performed to identify independent influencing factors for the prognosis of neurological function recovery. Using the screened independent influencing factors as feature variables, six ML models were established, including logistic regression, linear discriminant analysis, naive Bayes, support vector machine, random forest and extreme gradient boosting (XGBoost). The area under the receiver operating characteristic curve (AUC), confusion matrix indicators (accuracy, precision, recall and F1-score), calibration curve and decision curve analysis were adopted to evaluate the predictive efficacy, calibration degree and clinical net benefit of each model, with external validation conducted in the validation set. The SHapley Additive exPlanations framework was used to interpret the optimal model, and bar charts were applied to visualize the feature importance of the best model. ResultsAge, National Institutes of Health Stroke Scale (NIHSS) score, collateral circulation grading, fasting plasma glucose (FPG), lymphocyte percentage (LYMPH%), and homocysteine (Hcy) were independent risk factors for poor neurological rehabilitation prognosis (P < 0.05). For the XGBoost model, the AUC of the training and validation sets were 0.963 (95%CI 0.947 to 0.979) and 0.825 (95%CI 0.764 to 0.885), respectively, while the accuracy was 88.81% and 77.22%, the precision was 92.86% and 68.42%, the recall was 69.47% and 47.27%, and the F1-score was 79.48% and 55.91%, optimal in both calibration and clinical net benefit. The feature importance ranking for the XGBoost model from high to low was NIHSS score, age, collateral circulation grading, FPG, Hcy and LYMPH%. ConclusionThe interpretable XGBoost ML model exhibits excellent predictive efficacy and favorable clinical applicability in predicting neurological rehabilitation outcomes for stroke patients.

Objective To investigate the role and potential mechanism of secreted phosphoprotein 1 (SPP1)⁺ macrophages in the formation of chronic renal allograft fibrosis. Methods The expression features of SPP1⁺ macrophages in renal allografts of chronic allograft dysfunction (CAD) patients were analyzed based on single-cell transcriptome data of renal tissues from patients with CAD. Transcription factor VIPER analysis and DoRothEA transcription factor activity analysis were performed on the single-cell transcriptome data. Renal tissue samples were collected from kidney transplant recipients, including the CAD group (n=5) and the non-renal allograft fibrosis group (CTL group, n=5). A mouse model of chronic allograft rejection was established and divided into the allogeneic kidney transplantation group (CAD group, n=3) and the syngeneic kidney transplantation group (SYN group, n=3). Hematoxylin-eosin staining was used to detect renal tissue injury in mice, and Masson staining was used to detect renal tissue fibrosis. Immunofluorescence staining was performed to detect SPP1 expression in renal tissues of transplant recipients and mouse renal allografts. Bone marrow-derived macrophages (BMDMs) were extracted from mice and subjected to hypoxia stimulation. The expression of hypoxia-inducible factor (HIF)-1α and SPP1 was detected by Western blot, and SPP1 expression was detected by flow cytometry. BMDMs were transfected with HIF-1α overexpression plasmid and HIF-1α small interfering RNA (siRNA) followed by hypoxia intervention, and the expression of HIF-1α and SPP1 was detected by Western blot. Mouse aortic endothelial cells (MAECs) were co-cultured with the supernatant of BMDMs, and the expression of endothelial-mesenchymal transition (EndMT)-related markers was detected by Western blot and immunofluorescence. Results Single-cell transcriptome analysis showed that the proportion of SPP1⁺ macrophages in renal allograft tissues was significantly higher in the CAD group than in the CTL group (P<0.05). The renal injury score and the percentage of interstitial fibrotic area in the CAD group were significantly higher than those in the SYN group (both P<0.05). Immunofluorescence staining showed that the proportion of SPP1⁺ macrophages was increased in the CAD group compared with the CTL group, and also increased in the CAD group compared with the SYN group (both P<0.05). VIPER analysis and DoRothEA transcription factor activity analysis revealed activation of the hypoxia pathway and upregulated expression of transcription factors such as HIF-1α in SPP1⁺ macrophages. SPP1 expression was elevated in BMDMs under hypoxic conditions. Knockdown of HIF-1α inhibited hypoxia-induced SPP1 protein expression, whereas overexpression of HIF-1α upregulated SPP1 protein levels. After co-culture of hypoxia-induced BMDMs with MAECs, the expression levels of EndMT-related markers were increased. Conclusions SPP1⁺ macrophages differentiated under hypoxia are significantly infiltrated in the formation of chronic renal allograft fibrosis, and may promote renal allograft fibrosis by inducing EndMT in renal vascular endothelial cells.

OBJECTIVE To investigate the effectiveness of different bacterial cleaning methods and their effects on the general condition,nasal mucosal and systemic inflammation of mice.METHODS A total of 44 mice were randomly divided into six groups:4-antibiotic per os group(4ABX po)with 7 mice,5-antibiotic oral gavage group(5ABX og)with 8 mice,5-antibiotic intranasal group(5ABX in)with 8 mice,and each of their control groups with 7 mice.Body weight,water intake,and peripheral blood routine test of mice were measured.Bacterial culture of nasal lavage fluid(NLF)was performed;mRNA level of inflammatory mediators and histopathological analysis were conducted with mouse nasal mucosa.RESULTS Bacteria were cultured from all control groups,while Bacteria were cultured from all control groups,while one mouse in the 4ABX po group,three mice in the 5ABX og group,and two mice in the 5ABX in group showed no bacterial growth.The number of goblet cells in the nasal mucosa significantly increased in the 5ABX og group compared with its control group(P<0.05).The 5ABX in group exhibited significantly higher counts of peripheral blood lymphocytes and hemoglobin levels,as well as greater nasal mucosal thickness compared with its control group,with a notable decrease in goblet cells(P<0.05).No statistical differences were observed in body weight or the mRNA expression of nasal mucosal inflammatory mediators.CONCLUSION Different combinations of antibiotics and administration routes have varying effects on nasal bacteria,systemic and nasal mucosal inflammation in mice.Therefore,choosing appropriate protocols is crucial for the progression of subsequent research.

Fe/Mn/Gd polymetallic nanooxide(FMGN)were prepared by one-step solvent thermal reaction by using Fe(acac)3,Mn(acac)2 and Gd(acac)3 as reaction precursors.Next,hyaluronic acid(HA)was used to modify FMGN to fabricate tumor-targeting T 1-T 2 dual-mode magnetic resonance imaging(MRI)contrast agent(HA-FMGN)for accurate diagnosis of prostate cancer.The structure and morphology of FMGN were observed by transmission electron microscope(TEM).It was found that FMGN exhibited a uniform nanocluster spherical structure when the feeding ratio of iron acetylacetonate,manganese acetylacetonate,and gadolinium acetylacetonate was 3:2:1.X-ray diffraction(XRD)analysis showed that FMGN had a typical inverse spinel structure of Mn doped Fe 3O 4,with Gd existing in the form of amorphous gadolinium oxide.The longitudinal relaxivity(r 1)and transverse relaxivity(r 2)of FMGN were 13.395 and 428.535 L/(mmol·s),respectively,measured by 0.5 T MRI analyzer,which proved that FMGN had excellent T 1-T 2 dual-mode MRI contrast capability.The cytotoxicity and hemolysis test found that HA-FMGN didn't damage red cells and induce toxicity for normal cells,indicating that HA-FMGN had excellent cell biocompatibility.The internalization efficacy of HA-FMGN was observed by CLSM,and the results showed that HA-FMGN possessed excellent prostate tumor-targeting ability.In vivo MRI experiment showed that HA-FMGN significantly enhanced T 1 and T 2 weighted MRI signal to noise ratio(SNR)of prostate tumor,which promoted the accurate diagnosis of orthotopic prostate cancer.

With the increasing demand for dynamic,real-time and rapid qualitative analysis of chemical composition in areas such as emergency response and space exploration,chip-scale mass spectrometers have attracted significant attention.These devices are expected to drive the integration of mass spectrometry with micro/nano-fabrication and intelligent sensing technologies,fostering profound innovation and breakthroughs in analytical chemistry.As an excellent mass analyzer,the ion trap exhibits numerous advantages,and its miniaturization creates favorable conditions for the high-density integration of miniature mass spectrometers.However,the reduction in ion storage capacity may compromise its sensitivity and dynamic range,rendering the study of ion unidirectional ejection in highly miniaturized ion traps of significant practical importance.In this work,a research was conducted on achieving efficient ion unidirectional ejection while maintaining high mass resolution in the extremely miniature hyperbolic linear ion trap(M-HLIT)with a field radius of 1 mm,and an electric field compensation method was proposed,which combined asymmetric electrode stretching and unbalanced RF voltage to achieve high-precision optimization of the electric field composition.Simulations showed that in an ideal structure,this method achieved 100％unidirectional ejection efficiency with the mass resolution of 518,significantly outperforming traditional asymmetric structure method(365)and unbalanced voltage method(321).Following the introduction of ion ejection slots,further optimization through bidirectional stretching and electrical parameters improved the resolution to 790 while maintaining a unidirectional ejection efficiency of 93％.This method eliminated the requirement for additional excitation voltage,offering an ideal solution for the miniature mass analyzer with high detection performance of chip-level mass spectrometers.

Objective:To study the methylation level of miR-5194 promoter in bladder cancer tissues, and explore the effects of miR-5194 on the proliferation and migration of bladder cancer cells by targeting p21-activated protein kinase 2 (PAK2).Methods:The methylation level of miR-5194 promoter in bladder cancer tissues was analyzed using MethHC database. Real-time fluorescent quantitative polymerase chain reaction (RT-qPCR) was used to detect the expression of miR-5194 in bladder cancer MGH-U3, EJ, J82, and UMUC3 cells. 5-aza-2′-deoxycytidine (5-Aza-CdR) was used to treat bladder cancer cell lines, and RT-qPCR was used to detect the changes in the expression of miR-5194 in bladder cancer cell lines after 5-Aza-CdR treatment. UMUC3 cells were divided into miR-5194 group and NC group, and miR-5194 or miR-NC were transfected into UMUC3 cells, respectively. Colony formation assay and scratch assay were used to detect the effect of overexpression of miR-5194 on the proliferation and migration of UMUC3 cells. The bioinformatics tool miRGator and dual-luciferase reporter gene experiments verified the targeting relationship between miR-5194 and PAK2. The effect of overexpression of miR-5194 on the expression of PAK2 mRNA in UMUC3 cells was detected by RT-qPCR. The effect of overexpression of miR-5194 on the expression of PAK2 protein, proliferation-related proteins (CDK1, Cyclin B) and migration-related proteins (FOXC2, E47) in UMUC3 cells was detected by Western blotting. The measurement data were expressed as mean ± standard deviation ( ± s), the independent sample t-test was used for comparison between two groups, and one-way analysis of variance was used for comparison among multiple groups. Results:The methylation level of miR-5194 promoter in bladder cancer tissues was significantly higher than that in adjacent tissues ( P<0.01). Compared with the immortalized bladder epithelial cells SV-HUC-1, the expression of miR-5194 in bladder cancer cells was significantly down-regulated ( P<0.01). After 5-Aza-CdR treatment, the expression of miR-5194 in bladder cancer cells was significantly increased ( P<0.01). The number of colonies in miR-5194 group and NC group were 31.30 ± 8.09 and 99.98 ± 10.53, respectively, and the proliferation ability of UMUC3 cells in miR-5194 group was weakened ( P<0.01). The migration rates of UMUC3 cells in miR-5194 group and NC group were (31.50 ± 7.17)% and (76.06 ± 4.86)%, respectively, and the migration ability of UMUC3 cells in miR-5194 group was weakened ( P<0.01). miR-5194 can target bind PAK2 gene ( P<0.01). The relative expression of PAK2 mRNA in UMUC3 cells of miR-5194 group and NC group were 1.02 ± 0.34 and 5.43 ± 0.76, respectively, and miR-5194 could negatively regulate the expression of PAK2 mRNA ( P<0.01). Compared with the NC group, the expression of PAK2 protein, the expression of proliferation-related proteins CDK1 and Cyclin B, and the expression of migration-related proteins FOXC2 and E47 were down-regulated in UMUC3 cells with miR-5194 overexpression. Conclusion:The methylation level of miR-5194 promoter in bladder cancer tissue was significantly increased, and miR-5194 inhibited the proliferation and migration of bladder cancer cells by targeting down-regulation of PAK2 expression in bladder cancer UMUC3 cells.

Hungary, as the first European country to legislate TCM, its legislation experience has significant implications for the international development of TCM. This article reviewed the historical process of TCM legislation in Hungary, summarized its legislative achievements, and analyzed the problems encountered during the implementation process. It was found that the current challenges faced by TCM legislation in Hungary mainly include constraints from the dominance of modern medicine, restrictions from strict qualification requirements, insufficient public awareness, difficulties in TCM registration, and challenges in policy coordination and cooperation. Based on these findings, the article proposed countermeasures such as improving the legal framework, strengthening educational cooperation, enhancing public awareness, promoting the mutual recognition of standards between China and Europe, and deepening China-Hungary collaboration. These measures aim to further improve the legislation and implementation of TCM in Hungary, thereby promoting the healthy development of TCM in Hungary and the global service trade of TCM.