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.

Hepatic fibrosis （HF） is an abnormal repair process that occurs after chronic liver injury. It is characterized by excessive accumulation of extracellular matrix in the liver， resulting in fibrous tissue hyperplasia， which may further develop into cirrhosis and even liver cancer. Currently， there is a lack of specific anti-HF drugs in clinical practice. Traditional Chinese medicine （TCM） has advantages in the treatment of HF， including multi-component and multi-target interventions with high safety， and can significantly delay the progression of HF. It has therefore become a current research hotspot. Nuclear factor erythroid 2-related factor 2 （Nrf2）， as a key transcription factor involved in antioxidant stress， can effectively intervene in the progression of HF by activating the expression of downstream antioxidant enzymes and detoxification genes. This article systematically reviews the mechanisms by which active components of Chinese medicine （such as flavonoids， polysaccharides， and saponins） and TCM compound prescriptions （such as Haobie Yangyin Ruanjian prescription and Biejia Xiaozheng pills） exert anti-fibrotic effects through activation of the Nrf2 signaling pathway， including enhancing antioxidant capacity， inhibiting inflammatory responses， reducing hepatocyte apoptosis， improving mitochondrial function， and inhibiting the ferroptosis pathway. In addition， this article points out the current shortcomings in research based on the Nrf2 signaling pathway and proposes corresponding suggestions to promote related studies. It also provides an important theoretical basis for the development of novel anti-HF Chinese medicine targeting Nrf2.

ObjectiveTo analyze the pharmacodynamic substance basis of Shangkeling Spray and its potential mechanisms in intervening knee osteoarthritis （KOA） using ultra-performance liquid chromatography-tandem mass spectrometry （UPLC-MS）， network pharmacology， and molecular docking technology. MethodsUPLC-MS was used to identify the chemical components of Shangkeling Spray. Pharmacokinetic properties were employed to screen potential active ingredients. Network pharmacology methods were utilized to collect potential targets of these ingredients and the pathological gene set of KOA. An "active ingredient-disease" target network was constructed using databases such as STRING. Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） functional enrichment analyses were performed using clusterProfiler. Libraries including NumPy were employed to calculate shortest path lengths to identify dominant pharmacodynamic links. Core gene clusters were identified using MCODE， validated through the Gene Expression Omnibus （GEO） database， and molecular docking was performed between key active ingredients and core targets. ResultsA total of 322 and 314 chemical components were identified under positive and negative ion modes， respectively， with 410 components in total after de-duplication， mainly including flavonoids， coumarins， terpenoids， organic acids， and alkaloids. Analysis of the "active ingredient-disease" network identified "development and regeneration"， "cell growth and death"， "immune system"， and "nervous system" as the dominant pharmacodynamic links of Shangkeling Spray in the treatment of KOA. Molecular docking showed that key active ingredients， such as bletillin A， formononetin， morin， oxymatrine， aconitine， gallic acid， curdione， apigenin， naringenin， and oleanolic acid， tightly bound to functional domains of 10 key targets including Jun proteins（JUN）， interleukin-6 （IL-6）， protein kinase B1 （Akt1）， Caspase-3， nuclear transcription factor-κB subunit p65（RELA）， nuclear factor-kappaB1（NF-κB1）， Cyclin D₁， mammalian target of rapamycin（mTOR）， tumor necrosis factor （TNF）， and Fos proto-oncogene protein （FOS）. These interactions synergistically regulated the phosphatidylinositol 3-kinase （PI3K）/Akt/mTOR-related signaling axis and nervous system-related pathways， mediating cartilage repair， reducing inflammation and pain， and improving KOA. ConclusionThis study preliminarily clarifies the pharmacodynamic substance basis of Shangkeling Spray and suggests that its main active ingredients may improve KOA by synergistically regulating the PI3K/Akt/mTOR-related pathways， providing a reference for subsequent exploration of its substance benchmark and mechanism of action.

This article reports a case of a male patient， aged 60 years， who developed pyrrolizidine alkaloid-induced hepatic sinusoidal obstruction syndrome （PA-HSOS） due to ingestion of Gynura segetum （Lour.） Merr. The patient presented with ascites and abnormal liver function， and a confirmed diagnosis was made based on radiological examination and liver biopsy. Since the patient was allergic to low-molecular-weight heparin and had no response to supportive therapy， low-dose defibrotide was administered as rescue treatment. After treatment， the patient achieved rapid regression of ascites and recovery of liver function， and liver biopsy reexamination showed alleviation of sinusoidal congestion and hepatocyte regeneration. Self-resolving conjunctival hemorrhage occurred during treatment. This case suggests that for patients with contraindications to standard anticoagulation therapy or those showing no response to such treatment， low-dose defibrotide may be used as an effective and relatively safe alternative treatment regimen.

Objective:To observe the effects of Maxing Loushi decoction on the inflammatory response and inflammatory indicators in mice with chronic obstructive pulmonary disease (COPD) models.Methods:Thirty-six BALB/C mice were randomly divided into 4 groups by random number table method: 10 mice in the COPD model group (referred to as the model group), 10 mice in the Maxing Loushi decoction group (referred to as the traditional Chinese medicine group), 10 mice in the programmed death receptor-1 (PD-1) inhibitor group (referred to as the control group), and 6 mice in the normal group. The COPD models of mice in the model group, the traditional Chinese medicine group and the control group were prepared by cigarette smoking combined with lipopolysaccharide (LPS) induction method. During the modeling process, the model group and the traditional Chinese medicine group were respectively given normal saline and Maxing Loushi decoction by gavage. The control group was given intraperitoneal injection of PD-1 inhibitor, while the normal group was given intragastric administration of normal saline. Pathological changes of lung tissues in each group of mice were detected by HE staining. The levels of inflammatory factors [monocyte chemotactic protein-1 (MCP-1), macrophage inflammatory protein-1α (MIP-1α), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α)] in the plasma and alveolar lavage fluid (BALF) of mice in each group were determined by enzyme-linked immunosorbent assay (ELISA). The effects of Maxing Loushi decoction intervention on inflammatory responses and inflammatory factors were evaluated.Results:The lung tissue structure in the normal group was basically normal. There was no thickening of the alveolar walls, no infiltration of neutrophils in the tissues, and no obvious inflammatory infiltration. In the model group, the lung tissue structure was slightly abnormal. A small amount of alveolar atrophy could be observed, the alveolar walls were slightly thickened, and inflammatory infiltration could be seen. In the traditional Chinese medicine group, the lung tissue structure was slightly abnormal. A small amount of alveolar atrophy and collapse could be observed, the alveolar walls were not thickened, and individual neutrophil infiltration could be seen in the tissue. In the control group, the lung tissue structure was slightly abnormal, some alveoli atrophied, and a small amount of neutrophil infiltration could be seen in the tissue. The levels of MCP-1 and MIP-1α in plasma and lavage fluid of the model group were significantly higher than those of the normal group (all P<0.05), while the levels of MCP-1 and MIP-1α in plasma and lavage fluid of the traditional Chinese medicine group and the control group were significantly lower than those of the model group (all P<0.05). Moreover, the levels of plasma MCP-1 and MIP-1α in the traditional Chinese medicine group were significantly lower than those in the control group (all P<0.05), while there was no statistically significant difference in the levels of MCP-1 and MIP-1α in alveolar lavage fluid between the traditional Chinese medicine group and the control group (all P>0.05). The levels of IL-6 and TNF-α in plasma and alveolar lavage fluid of the model group were significantly higher than those of the normal group (all P<0.05), while the levels of IL-6 and TNF-α in plasma and alveolar lavage fluid of the traditional Chinese medicine group and the control group were significantly lower than those of the model group (all P<0.05). Moreover, the levels of IL-6 and TNF-α in plasma and alveolar lavage fluid of the traditional Chinese medicine group were significantly lower than those of the control group (all P<0.05). Conclusions:The intervention of Maxing Loushi decoction has a significant improvement effect on the inflammatory response of COPD model mice. Inflammatory factors such as MCP-1, MIP-1α, IL-6, and TNF-α can be used as indicators to determine the degree of COPD inflammation.

Objective To explore the resistance mechanism of tigecycline insensitivity of multidrug-resistant Acine-tobacter baumannii,and provide reference for clinical rational antimicrobial use as well as prevention and control of healthcare-associated infection.Methods 22 strains of tigecycline insensitive multidrug-resistant Acinetobacter bau-mannii(TIS-MDR-AB)and 22 strains of tigecycline sensitive multidrug-resistant Acinetobacter baumannii(TS-MDR-AB)isolated clinically from the First Affiliated Hospital of Guangzhou Medical University from April 2022 to May 2023 were collected.Efflux pump phenotype inhibition assay was performed using efflux pump inhibitor car-bonyl cyanide m-chlorophenylhydrazone(CCCP).The main efflux pump genes(adeB,adeG,adeJ),as well as tigecycline-resistant gene tet(X),were screened by polymerase chain reaction(PCR)technique,and their mRNA expression levels were detected by real-time fluorescence quantitative PCR.Mutations in the efflux pump regulatory gene adeRS were analyzed by Sanger sequencing analysis.Results The detection rates of efflux pump genes adeB,adeG and adeJ were all above 95％in two MDR-AB groups,and tet(X)gene was not detected.Efflux pump inhibi-tor assay showed that the minimum inhibitory concentration(MIC)of TIS-MDR-AB strains decreased after adding CCCP,3 strains showed positive efflux pump phenotype.The mRNA expression level of MDR-AB adeB in the TIS-MDR-AB group was higher than that in the TS-MDR-AB group(P＜0.01),while the expression of adeG and adeJ genes was no statistically different.Multiple mutations were found in the adeR and adeS genes,the adeS of 2 strains was inserted ISAba1,and 3 strains were inserted ISAba13.Conclusion The overexpression of adeABC in the efflux pump system may play an important role in the mechanism of reduced sensitivity of MDR-AB to tigecycline,and its overexpression may be related to the insertion sequence or mutation in the efflux pump regulatory gene adeRS.

Computational analysis can accurately detect drug-gene interactions(DGIs)cost-effectively.However,transductive learning models are the hotspot to reveal the promising performance for unknown DGIs(both drugs and genes are present in the training model),without special attention to the unseen DGIs(both drugs and genes are absent in the training model).In view of this,this study,for the first time,proposed an inductive learning-based model for the precise identification of unseen DGIs.In our study,by integrating disease nodes to avoid data sparsity,a multi-relational drug-disease-gene(DDG)graph was constructed to achieve effective fusion of data on DDG intro-relationships and inter-actions.Following the extraction of graph features by utilizing graph embedding algorithms,our next step was the retrieval of the attributes of individual gene and drug nodes.In this way,a hybrid feature charac-terization was represented by integrating graph features and node attributes.Machine learning(ML)models were built,enabling the fulfillment of transductive predictions of unknown DGIs.To realize inductive learning,this study generated an innovative idea of transforming known node vectors derived from the DDG graph into representations of unseen nodes using node similarities as weights,enabling inductive predictions for the unseen DGIs.Consequently,the final model was superior to existing models,with significant improvement in predicting both external unknown and unseen DGIs.The practical feasibility of our model was further confirmed through case study and molecular docking.In summary,this study establishes an efficient data-driven approach through the proposed modeling,suggesting its value as a promising tool for accelerating drug discovery and repurposing.

Objective To explore the mechanism of Lacticaseibacillus paracasei E6 for improving vinorelbine-induced immunosuppression in zebrafish.Methods The intestinal colonization of L.paracasei E6 labeled by fluorescein isothiocyanate(FITC)in zebrafish was observed under fluorescence microscope.In a zebrafish model of vinorelbine-induced immunosuppression,the immunomodulatory activity of L.paracasei E6 was assessed by analyzing macrophage and neutrophil counts in the caudal hematopoietic tissue(CHT),the number of T-lymphocyte,and the expressions of interleukin-12(IL-12)and interferon-γ(IFN-γ).The contents of short-chain fatty acids(SCFAs)in L.paracasei E6 fermentation supernatant and the metabolites of L.paracasei E6 in zebrafish were detected by LC-MS/MS-based targeted metabolomics.The immunomodulatory effects of the SCFAs including sodium acetate,sodium propionate and sodium butyrate were evaluated in the zebrafish model of immunosuppression.Results After inoculation,green fluorescence of FITC-labeled L.paracasei E6 was clearly observed in the intestinal ball,midgut and posterior gut regions of zebrafish.In the immunocompromised zebrafish model,L.paracasei E6 significantly alleviated the reduction of macrophage and neutrophil counts in the CHT,increased the fluorescence intensity of T-lymphocytes,and promoted the expressions of IL-12 and IFN-γ.Compared with MRS medium,L.paracasei E6 fermentation supernatant showed significantly higher levels of acetic acid,propionic acid and butyric acid,which were also detected in immunocompromised zebrafish following treatment with L.paracasei E6.Treatment of the zebrafish model with sodium acetate and sodium propionate significantly increased macrophage and neutrophil counts in the CHT and effectively inhibited vinorelbine-induced reduction of thymus T cells.Conclusion L.paracasei E6 can improve vinorelbine-induced immunosuppression in zebrafish through its SCFA metabolites acetic acid and propionic acid.

Transformer models have emerged as pivotal tools within the realm of drug discovery,distinguished by their unique architectural features and exceptional performance in managing intricate data landscapes.Leveraging the innate capabilities of transformer architectures to comprehend intricate hierarchical dependencies inherent in sequential data,these models showcase remarkable efficacy across various tasks,including new drug design and drug target identification.The adaptability of pre-trained trans-former-based models renders them indispensable assets for driving data-centric advancements in drug discovery,chemistry,and biology,furnishing a robust framework that expedites innovation and dis-covery within these domains.Beyond their technical prowess,the success of transformer-based models in drug discovery,chemistry,and biology extends to their interdisciplinary potential,seamlessly combining biological,physical,chemical,and pharmacological insights to bridge gaps across diverse disciplines.This integrative approach not only enhances the depth and breadth of research endeavors but also fosters synergistic collaborations and exchange of ideas among disparate fields.In our review,we elucidate the myriad applications of transformers in drug discovery,as well as chemistry and biology,spanning from protein design and protein engineering,to molecular dynamics(MD),drug target iden-tification,transformer-enabled drug virtual screening(VS),drug lead optimization,drug addiction,small data set challenges,chemical and biological image analysis,chemical language understanding,and single cell data.Finally,we conclude the survey by deliberating on promising trends in transformer models within the context of drug discovery and other sciences.

Objective To investigate the efficacy of Lactobacillus plantarum ZG03(L.plantarum ZG03)for ameliorating oxidative stress in zebrafish.Methods We evaluated the growth pattern of L.plantarum ZG03,observed its morphology using field emission scanning electron microscopy,and assessed its safety and potential efficacy with whole-genome sequencing for genetic analysis.FITC-labeled ZG03 was used to observe its intestinal colonization in zebrafish.In a zebrafish model of 2%glucose-induced oxidative stress,the effect of ZG03 was evaluated by assessing the changes in neutrophils in the caudal hematopoietic tissue(CHT),superoxide dismutase(SOD)activity,reactive oxygen species(ROS)levels,and malondialdehyde(MDA)content.Liquid chromatography-mass spectrometry-based targeted metabolomics was used for analyzing short-chain fatty acids(SCFAs)in the zebrafish,and the antioxidant effects of the key metabolites(acetate,propionate,and caproate)were tested.Results On MRS agar,L.plantarum ZG03 formed circular,smooth,moist,and milky-white colonies with a rod-shaped cell morphology.Genomic analysis revealed abundant sugar metabolism gene clusters.After inoculation of FITC-labeled L.plantarum ZG03 in zebrafish,green fluorescence was clearly observed in the intestinal bulb,mid-intestine,and hind intestine.In zebrafish with glucose-induced oxidative stress,L.plantarum ZG03 significantly reduced ROS levels and the number of neutrophils in the CHT with increased SOD activity.L.plantarum ZG03 significantly increased the content of SCFAs including acetic acid,propionic acid,and caproic acid in zebrafish metabolites.In addition,sodium acetate,sodium propionate,and sodium caproate in the SCFAs significantly increased SOD activity in the zebrafish models.Conclusion L.plantarum ZG03 ameliorates oxidative stress in a glucose-induced zebrafish model through its metabolites,particularly the SCFAs including acetic acid,propionic acid and caproic acid.