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.

Objective: To explore the prevalence of bone defect and alveolar bone thickness changes in the mandibular incisors of untreated adults and post-orthodontic treatment adults, with the aim of providing strategies for preventing and managing alveolar bone defects during orthodontic treatment. Methods: This study was reviewed and approved by the Medical Ethics Committee. Clinical records, panoramic radiographs, cephalometric radiographs, and cone beam computed tomography (CBCT) images and informed consent were obtained for 150 untreated adults and 150 post-orthodontic adults. The untreated adults and post-orthodontic adults were respectively divided into three subgroups: skeletal ClassⅠ, Class Ⅱ and Class Ⅲ, with 50 cases per subgroup. Meanwhile, 60 cases with completeness of pre- and post-orthodontic data were enrolled from 150 post-orthodontic adults, including 20 cases each of skeletal ClassⅠ, Class Ⅱ, and Class Ⅲ. Cephalometric radiographs were imported into Dolphin software to measure skeletal parameters. CBCT images were imported into Mimics software to assess alveolar bone defects and to measure alveolar bone thickness of mandibular incisors among three groups: 150 untreated adult groups, 150 post-orthodontic groups and the pre- and post-treatment status of 60 patients selected from the latter group. Results: Untreated adult patients: the prevalence of labial dehiscence and fenestration in the mandibular incisors was higher than that on the lingual side among skeletal ClassⅠ, Ⅱ, and Ⅲ malocclusion patients, and there was a statistically significant difference in the alveolar bone thickness of the mandibular incisors among the three classes. Post-orthodontic treatment adults: for skeletal ClassⅠ and Ⅱ patients, the prevalence of lingual bone dehiscence in the mandibular incisors was significantly higher in the extraction groups than in the non-extraction groups; correspondingly, the lingual alveolar bone was also thinner in the extraction groups; Class Ⅱ non-extraction patients showed a higher prevalence of labial bone fenestration but a lower prevalence of lingual bone fenestration in mandibular incisors compared to Class Ⅱ extraction patients; the orthodontic-orthognathic combined treatment group showed significantly higher prevalence of labial/lingual bone dehiscence and thinner alveolar bone at multiple sites in the mandibular incisors compared to the camouflage group in skeletal Class Ⅲ patients. Comparison of mandibular incisor bone defects and thickness before and after orthodontic treatment in adult patients: in skeletal ClassⅠ and Ⅱ patients treated with premolar extraction and Class Ⅲ patients treated with orthodontic-orthognathic combined treatment, the lingual alveolar bone of mandibular incisors exhibited significant resorption and thinned after treatment, and this was accompanied by an increased prevalence of dehiscence; in non-extraction patients, ClassⅠ non-extraction patients showed thinning of the crestal-labial bone and apical-lingual bone, Class Ⅱ patients showed thinning of the crestal-labial bone and middle-labial bone of the mandibular incisors, along with an increased prevalence of dehiscence Conclusion In malocclusion adults, alveolar bone defects were already present in the mandibular incisors before orthodontic treatment. The alveolar bone defects and thickness in mandibular incisors among post-orthodontic adults were influenced by the treatment plan and Class of skeletal malocclusion.

Inteins are unique protein insertion sequences capable of self-excision, enabling the covalent ligation of flanking extein peptides via amide bond formation. This process proceeds spontaneously without requiring external enzymes, cofactors, or chemical reagents, granting inteins exceptional biocompatibility and traceless performance in protein engineering applications. Split inteins represent a specialized and versatile subclass whose splicing domains are encoded by two separate gene fragments rather than a single continuous open reading frame. These fragments, known as the N-terminal (IntN) and C-terminal (IntC) split inteins, associate through non-covalent interactions including hydrophobic forces, hydrogen bonds, and van der Waals forces to assemble into an active three-dimensional structure, which then drives efficient extein ligation and enables protein trans-splicing. Protein trans-splicing mediated by split inteins has become a cornerstone for traceless protein ligation owing to its high specificity and irreversibility, fundamentally reshaping strategies for protein modification, assembly, and functional regulation. Compared with traditional chemical ligation methods, split intein systems require no complex chemical derivatization of peptide fragments and can operate efficiently at micromolar concentrations under physiological conditions, thus avoiding structural and functional damage caused by organic reagents. In contrast to enzymatic ligation tools such as sortase, split inteins eliminate the need for additional enzymes or cofactors, simplifying reaction systems, reducing costs, and minimizing non-specific side products. These distinctive advantages render split inteins highly promising for applications in chemical biology, synthetic biology, and biopharmaceutical development. In recent years, deepened mechanistic understanding has established structure-guided rational design as the primary approach to overcoming key limitations of split inteins, including intrinsic aggregation propensity, strict extein sequence dependence, and limited splicing efficiency. Bioinformatic tools have been used to identify aggregation-prone regions in the IntN fragment, and site-directed mutagenesis of hydrophobic residues, relocation of split sites, or removal of misfolding-prone sequences has substantially reduced in vitro aggregation and improved soluble expression and assembly activity. Rational engineering of catalytic residues and adjacent flexible loops has relaxed strict amino acid preferences at extein junctions, enhancing sequence tolerance and reducing the risk of functional impairment in target proteins. Consensus design based on multiple sequence alignments has yielded ultra-fast splicing variants such as Cfa DnaE and Cat-TerL, which exhibit significantly accelerated kinetics and improved tolerance to denaturing conditions. Meanwhile, advances in structural biology have further clarified the conformational dynamics and catalytic mechanisms of splicing, supporting the precise design of high-performance intein modules. On this basis, electrostatic interaction tuning and metagenomic screening have yielded multiple mutually orthogonal split intein pairs, enabling selective multi-fragment protein ligation and providing new routes for the efficient synthesis of large multi-domain functional proteins. With these engineered split inteins offering continuously improved performance and expanded applicability, protein trans-splicing has been widely applied in numerous cutting-edge areas of protein research and biomedicine. In gene delivery, split intein-based systems overcome the packaging limit of adeno-associated viral vectors, enabling the accurate reconstitution of large therapeutic proteins and base editors in target cells, thereby enhancing the efficacy and scope of gene therapy for genetic diseases. In internal protein sequence editing, split inteins mediate precise sequence replacement and modification in flexible regions or loops of target proteins, without the need for complex multi-step ligation and protein refolding involved in traditional protein semisynthesis. In protein-protein interaction studies, intein-mediated splicing covalently captures transient and weak intracellular complexes, enabling sensitive, high-throughput interaction detection and drug screening. In synthetic biology, conditionally controllable splicing systems support the construction of diverse intracellular and cell-surface biological logic gates for the precise regulation of cellular behavior. In mechanistic biochemical research, split inteins enable photocatalytic proximity labeling and site-specific tagging, allowing the preparation of homogeneous protein samples carrying precise post-translational modifications such as ubiquitination and polyglutamylation for chromatin interactome analysis and epigenetic studies. Moreover, covalent trapping strategies using split inteins stabilize transient enzymatic intermediates, providing unprecedented insights into molecular mechanisms such as nucleosome ubiquitination that are difficult to elucidate using conventional methods. This review systematically summarizes key technological advances in split inteins over the past decade, highlighting engineering strategies, mechanistic insights, and the development of orthogonal components. It comprehensively surveys emerging applications at the frontiers of protein research, analyzes current core challenges, and proposes future directions, particularly emphasizing artificial intelligence-driven de novo design and novel splicing pathways to break existing technical bottlenecks. By enabling traceless, efficient, and versatile protein manipulation, split inteins continue to serve as indispensable tools that drive innovation in protein engineering and fundamental life science research.

Objective:To establish a mouse model of liver cancer resistant to PD-1 monoclonal antibody and analyze the changes in its metabolomics to explore the potential mechanism of drug resistance.Methods:BALB/c mice were randomly divided into control and treatment groups after being loaded with tumor,and a normal group was additionally set up.The normal and control groups were injected with saline,and the treatment group was injected with PD-1 monoclonal antibody,after which the mice in the treatment group were screened for drug resistant and response groups.Observed the drug-resistant situation,body mass,tumor growth and survival rate of mice in each group,calculate the spleen index.The pathological features of tumor tissues were observed by HE staining method.Serum metabolites were detected by non-targeted metabolomics.Finally,a bivariate Pearson correlation analysis was conducted between the differential serum metabolites and tumor size.Results:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established,and the drug resistance rate of the mice was 50％.Compared with the normal and response groups,mice in the resistant group showed an increase in body weight,a significant increase in tumor volume,a decrease in survival rate,and a significant increase in splenic index.There was less lymphocyte infiltration in the tumor tissue.Metabolomics analysis showed that the serum levels of glutamic acid and aspartic acid increased and malic acid decreased in the resistant mice compared with the response group,and these changes were closely related to the arginine biosynthesis pathway.Conclusions:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established.The changes in its peripheral serum metabolomics mainly involve arginine metabolism and the related changes of aspartate,malate and glutamate.

Objective To identify the mutation in pathogenic genes by analyzing the clinical features and genotype of a family with Al-port syndrome,in order to provide a theoretical basis in genetic counseling for guidance on the future pregnancies in this couple.Meth-ods Based on closely combined thorough re-examination for the report of previous whole-exome sequencing of the proband and the mu-tation site information,Sanger sequencing verification was conducted in the proband's family members.Additionally,a comprehensive assessment of the proband's clinical manifestations and family history was performed,and the previous whole-exome sequencing report was reanalyzed accordingly.Results In terms of the heterozygous mutation(NM_0000924:c.3289+1G＞A)in intron 35 of COL4A4 gene carried by the proband,this mutation was identified in the proband's father(Ⅲ7),grandmother(Ⅱ6),aunt(Ⅲ6),and two great-uncle(Ⅱ2 and Ⅱ5).All of them exhibited clinical manifestations carried the COL4A4:c.3289+1G＞A heterozygous mutation.However,no mutation was detected in the proband's mother(Ⅲ8),great-grandmother(Ⅰ2),great-aunt(Ⅱ3),and great-uncle(Ⅱ4),grandfather(Ⅱ7)who were clinically unaffected.Additionally,a heterozygous mutation(COL4A3:NM_000914:c.1956A＞G)was identified in ex-on 27 of the COL4A3 gene in the proband.Her mother(Ⅲ 8),the other grandmother(Ⅱ9)and aunt(Ⅲ9)all carried the mutation of COL4A3 but had no clinical manifestation.However,her father(Ⅲ7)did not carry this mutation.Conclusion The splicing site muta-tion COL4A4:NM_0000924:c.3289+1G＞A should be confirmed as the pathogenic cause of Alport syndrome in this family.The combi-nation of whole-exome high-throughput sequencing and Sanger sequencing can effectively diagnose Alport syndrome and provide genetic counseling for the couple's next pregnancy.

Objective The aim of this study was to explore the effects of changes in the estrogen receptor alpha 36(ER-α36)expression on the proliferation and membrane-initiated estrogen signaling in glioblastoma U251 cells.Methods The expression and localization of ER-α36 and EGFR glioblastoma U87 cells and U251 cells were determined by immunofluorescence,qRT-PCR and Western blot.The effect of upregulating ER-α 36 on U251 cell proliferation and estrogen signaling pathway activity by low con-centrations of 100 pmol/L icariin isomer(SNG162)was detected by MTT assay and Western blot.Results ER-α36 and EGFR were co-expressed in the cell membrane of glioblastoma.Compared with DMSO(control group),the expression ER-α36(P<0.01)and EG-FR increased in U251 cells treated with SNG162(P<0.05);Further experments also found that low concentrations of SNG162 in-creased the expression of cycle related proteins-cyclin D1,cyclin B,cyclin E and CDK4(P<0.01),and enhanced the proliferative a-bility of U251 cells(P<0.05).Conclusion The low concentration of SNG162 upregulates the expression of ER-α36,activates the estrogen-mediated ERK1/2 MAPK,p38 MAPK,and EGFR/Src signaling pathways,promotes glioblastoma proliferation,and activates the membrane initialized estrogen signaling pathway.

Objective:To analyze the development trend of medical institution bed allocation in OECD countries and provide insights for optimizing bed resources allocation in China.Methods:Data on indicators of bed allocation and related factors from 1991 to 2022 were collected from the OECD online database.Bed allocation impact dimensions were identified based on health needs and demand theories.The random effect model and correlation analysis were used to explore influencing pathways of bed allocation.Results:The number of beds per 1 000 population and average life expectancy showed a significant positive correlation in countries below the average bed level,while an inverse trend was observed in countries above the average level.The number of long-term care beds per 1000 population showed positive correlation with average life expectancy.Multidimensional factors such as the disease spectrum and bed utilization efficiency were significant correlated with the bed allocation levels.The greater the gap in inpatient and outpatient reimbursement rations,the higher the demand for hospitalization among patients with chronic disease.Conclusions:An optimal number of beds is essential for achieving higher health outcomes.The bed classification planning system should be designed to adapt to demographic changes and strengthen the medical security support system.

Objective:To establish a mouse model of liver cancer resistant to PD-1 monoclonal antibody and analyze the changes in its metabolomics to explore the potential mechanism of drug resistance.Methods:BALB/c mice were randomly divided into control and treatment groups after being loaded with tumor,and a normal group was additionally set up.The normal and control groups were injected with saline,and the treatment group was injected with PD-1 monoclonal antibody,after which the mice in the treatment group were screened for drug resistant and response groups.Observed the drug-resistant situation,body mass,tumor growth and survival rate of mice in each group,calculate the spleen index.The pathological features of tumor tissues were observed by HE staining method.Serum metabolites were detected by non-targeted metabolomics.Finally,a bivariate Pearson correlation analysis was conducted between the differential serum metabolites and tumor size.Results:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established,and the drug resistance rate of the mice was 50％.Compared with the normal and response groups,mice in the resistant group showed an increase in body weight,a significant increase in tumor volume,a decrease in survival rate,and a significant increase in splenic index.There was less lymphocyte infiltration in the tumor tissue.Metabolomics analysis showed that the serum levels of glutamic acid and aspartic acid increased and malic acid decreased in the resistant mice compared with the response group,and these changes were closely related to the arginine biosynthesis pathway.Conclusions:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established.The changes in its peripheral serum metabolomics mainly involve arginine metabolism and the related changes of aspartate,malate and glutamate.

Objective:To analyze the development trend of medical institution bed allocation in OECD countries and provide insights for optimizing bed resources allocation in China.Methods:Data on indicators of bed allocation and related factors from 1991 to 2022 were collected from the OECD online database.Bed allocation impact dimensions were identified based on health needs and demand theories.The random effect model and correlation analysis were used to explore influencing pathways of bed allocation.Results:The number of beds per 1 000 population and average life expectancy showed a significant positive correlation in countries below the average bed level,while an inverse trend was observed in countries above the average level.The number of long-term care beds per 1000 population showed positive correlation with average life expectancy.Multidimensional factors such as the disease spectrum and bed utilization efficiency were significant correlated with the bed allocation levels.The greater the gap in inpatient and outpatient reimbursement rations,the higher the demand for hospitalization among patients with chronic disease.Conclusions:An optimal number of beds is essential for achieving higher health outcomes.The bed classification planning system should be designed to adapt to demographic changes and strengthen the medical security support system.

Objective To identify the mutation in pathogenic genes by analyzing the clinical features and genotype of a family with Al-port syndrome,in order to provide a theoretical basis in genetic counseling for guidance on the future pregnancies in this couple.Meth-ods Based on closely combined thorough re-examination for the report of previous whole-exome sequencing of the proband and the mu-tation site information,Sanger sequencing verification was conducted in the proband's family members.Additionally,a comprehensive assessment of the proband's clinical manifestations and family history was performed,and the previous whole-exome sequencing report was reanalyzed accordingly.Results In terms of the heterozygous mutation(NM_0000924:c.3289+1G＞A)in intron 35 of COL4A4 gene carried by the proband,this mutation was identified in the proband's father(Ⅲ7),grandmother(Ⅱ6),aunt(Ⅲ6),and two great-uncle(Ⅱ2 and Ⅱ5).All of them exhibited clinical manifestations carried the COL4A4:c.3289+1G＞A heterozygous mutation.However,no mutation was detected in the proband's mother(Ⅲ8),great-grandmother(Ⅰ2),great-aunt(Ⅱ3),and great-uncle(Ⅱ4),grandfather(Ⅱ7)who were clinically unaffected.Additionally,a heterozygous mutation(COL4A3:NM_000914:c.1956A＞G)was identified in ex-on 27 of the COL4A3 gene in the proband.Her mother(Ⅲ 8),the other grandmother(Ⅱ9)and aunt(Ⅲ9)all carried the mutation of COL4A3 but had no clinical manifestation.However,her father(Ⅲ7)did not carry this mutation.Conclusion The splicing site muta-tion COL4A4:NM_0000924:c.3289+1G＞A should be confirmed as the pathogenic cause of Alport syndrome in this family.The combi-nation of whole-exome high-throughput sequencing and Sanger sequencing can effectively diagnose Alport syndrome and provide genetic counseling for the couple's next pregnancy.