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 mechanism by which Qingre antai decoction improves pregnancy outcomes of threatened abortion rats with blood heat syndrome. METHODS The pregnant rats were randomly divided into normal group， model group， dydrogesterone group （0.002 g/kg）， and Qingre antai decoction group （44.1 g/kg）， with 13 rats in each group. Except for normal group， other groups were given warming-yang Chinese medicine and corresponding drugs intragastrically， once a day， for 12 consecutive days. On the 13th day of pregnancy， a single intragastric administration of mifepristone （5 mg/kg） was performed to establish a model of threatened abortion with blood heat syndrome. On the 14th day of pregnancy， the abortion rate and uterine coefficient were calculated； the pathological morphology of pregnant uterine was observed； the serum levels of 3，5，3′-triiodothyronine （T3）， thyroid hormone （T4）， thyroid stimulating hormone （TSH）， as well as the levels of vascular endothelial growth factor （VEGF） and nitric oxide （NO） in the pregnant uterus were all determined； the expressions of mRNA and protein related to Janus kinase 2 （JAK2）/signal transducer and activator of transcription 3 （STAT3） and phosphatidylinositol 3-kinase （PI3K）/protein kinase B （AKT） pathways were detected. RESULTS Compared with normal group， the model group exhibited endometrial tissue damage， a reduced number of decidual cells， and a significant presence of blood stasis within the uterus； abortion rate， the serum levels of T3， T4 and TSH， the mRNA expressions of JAK2， STAT3 and suppressor of cytokine signaling 3 （SOCS3） as well as protein expressions of p-JAK2， p-STAT3 and SOCS3 in the pregnant uterus were increased significantly （ P ＜0.05）； uterine coefficient， the levels of VEGF and NO in pregnant uterus， mRNA expressions of VEGFR2， PI3K， AKT and endothelial nitric oxide synthase（eNOS）， protein expressions of VEGFR2， PI3K and eNOS as well as phosphorylation level of AKT in the pregnant uterus were significantly reduced （ P ＜0.05）. Compared with model group， the endometrial tissue damage and congestion in the Qingre antai decoction group were significantly improved， and the levels of the aforementioned quantitative indicators were significantly reversed （ P ＜0.05）. CONCLUSIONS Qingre antai decoction can improve the pregnancy outcomes in rats with threatened abortion of blood heat syndrome， the mechanism of which may be associated with inhibiting JAK2/STAT3 pathway and activating PI3K/AKT pathway.

Docynia delavayi (Franch.) Schneid. is an economic fruit plant with high medicinal and edible values. The TCP gene family plays a vital role in plant growth and development. To explore the function of the TCP gene family in the growth and development of D. delavayi. In this study, the TCP gene family (DdeTCP) members were identified from the D. delavayi genome and their expression levels at different stages of seed germination and fruit development were analyzed. The results showed that a total of 18 DdeTCP genes were identified from the D. delavayi genome, with uneven location on 11 chromosomes. The phylogenetic tree showed that the 18 DdeTCPs could be classified into class Ⅱ (3) and class Ⅱ (15), suggesting that functional differentiation occurred among the DdeTCP family members. DdeTCP11 highly homologous to AtTCP14 was highly expressed in the early stage of seed germination, which suggested that this gene played a key role in seed germination. In addition, DdeTCP16 in class Ⅱ had a high expression level during the fruit ripening stage, which indicated that it might be related to fruit ripening. The findings lay a foundation for probing into the roles of the DdeTCP gene family in the growth and development of D. delavayi.
Phylogeny ; Gene Expression Regulation, Plant ; Multigene Family ; Genome, Plant/genetics* ; Plant Proteins/genetics* ; Transcription Factors/genetics* ; Germination/genetics* ; Fruit/growth & development* ; Genes, Plant

ObjectiveTo explore the therapeutic effect of Xuebijing injection （XBJ） on severe acute pancreatitis induced acute lung injury （SAP-ALI） by regulating formyl peptide receptors （FPRs）/nucleotide-binding oligomerization domain-like receptor 3 （NLRP3） inflammatory pathway. MethodsSixty rats were randomly divided into a sham group， a SAP-ALI model group， low-， medium-， and high-dose XBJ groups （4， 8， and 12 mL·kg^-1）， and a positive drug （BOC2， 0.2 mg·kg^-1） group. For the sham group， the pancreas of rats was only gently flipped after laparotomy， and then the abdomen was closed， while for the remaining five groups， SAP-ALI rat models were established by retrograde injection of 5% sodium taurocholate （Na-Tc） via the biliopancreatic duct. XBJ and BOC2 were administered via intraperitoneal injection once daily for 3 d prior to modeling and 0.5 h after modeling. Blood was collected from the abdominal aorta 6 h after the completion of modeling， and the expression of interleukin （IL）-1β， IL-6， and tumor necrosis factor-α （TNF-α） in plasma was measured by enzyme-linked immunosorbent assay （ELISA）. The amount of ascites was measured， and the dry-wet weight ratios of pancreatic and lung tissue were determined. Pancreatic and lung tissue was taken for hematoxylin-eosin （HE） staining to observe pathological changes and then scored. The protein expression levels of FPR1， FPR2， and NLRP3 in lung tissue were detected by the immunohistochemical method. Western blot was used to detect the expression of FPR1， FPR2， and NLRP3 in lung tissue. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of FPR1， FPR2， and NLRP3 in lung tissue. ResultsCompared with the sham group， the SAP-ALI model group showed significantly decreased dry-wet weight ratio of lung tissue （P<0.01）， serious pathological changes of lung tissue， a significantly increased pathological score （P<0.01）， and significantly increased protein and mRNA expression levels of FPR1， FPR2， and NLRP3 in lung tissue （P<0.01）. After BOC2 intervention， the above detection indicators were significantly reversed （P<0.01）. After treatment with XBJ， the groups of different XBJ doses achieved results consistent with BOC2 intervention. ConclusionXBJ can effectively improve the inflammatory response of the lungs in SAP-ALI rats and reduce damage. The mechanism may be related to inhibiting the expression of FPRs and NLRP3 in lung tissue， which thereby reduces IL-1β and simultaneously antagonize the release of inflammatory factors IL-6 and TNF-α.

To summarize the diagnosis and management of a highly sensitized renal transplant recipient who developed Legionella pneumophila infection during the perioperative period. A 48-year-old male recipient presented early after transplantation with both acute allograft rejection and pulmonary infection. The acute rejection episode was successfully reversed with appropriate treatment, whereas the pulmonary infection continued to progress. Initial microbiological tests were negative, and empirical antimicrobial therapy was ineffective. Legionella pneumophila was subsequently detected by metagenomic next-generation sequencing of bronchoalveolar lavage fluid obtained via bronchoscopy. Following combined therapy with moxifloxacin and tigecycline, along with withdrawal of immunosuppressive agents, the pulmonary lesions completely resolved.

Traditional treatment modalities for thalassemia include regular blood transfusions and allogenic hematopoietic stem cell transplantation(allo-HSCT).In recent years,autologous transplantation of gene-modified hematopoietic stem cells has emerged as a new curative strategy for transfusion-dependent thalassemia(TDT),which has the potential to replace conventional treatments,and provide lifelong benefits for patients.There are two existing technical approaches for gene therapy of β-thalassemia:gene addition,which involves transducing exogenous β-globin genes into hematopoietic stem cells(HSCs),and gene editing,which utilizes CRISPR-Cas9 or other editing systems to re-activate the expression of γ-globin gene.This article summarizes the marketed products and research progress in clinical trials,aiming to analyze the respective advantages and limitations of these two approaches,and discusses the effectiveness and safety of current gene therapies for β-thalassemia,as well as the future directions for associated technologies,including ex vivo HSC expansion with maintenance of stemness and vector-mediated in vivo gene modification.In terms of clinical translational medicine,this article provides in-depth insights into promising solutions for contemporary challenges confronted in clinical trials,including process development challenges,clinical trial conduct,regulatory approval processes,commercialization and payment systems.

Objective To investigate the therapeutic effect and potential mechanisms of allogeneic renal subcapsular transplantation of CD24+renal epithelial cells for the treatment of acute kidney injury(AKI)induced by ischemia-reperfusion(I/R).Methods CD24+renal epithelial cells were isolated from mouse kidneys using flow cytometric sorting and expanded by passaging.C57BL/6N mice were randomly divided into three groups:the normal control group(n=8,sham surgery only),the model control group(n=8,unilateral kidney I/R plus contralateral nephrectomy),and the CD24+cell treatment group(n=8,AKI model followed by renal subcapsular transplantation of CD24+cells).Mice were euthanized at 24 h after modeling and serum was collected to measure biochemical markers[serum creatinine(Scr),blood urea nitrogen(BUN),tumor necrosis factor-α(TNF-α),and interleukin-6(IL-6)].Renal tissues were subjected to pathological evaluation and macrophage staining.An M1-polarized macrophage model was established using mouse bone marrow-derived macrophages co-cultured with CD24+renal epithelial cells.The polarization state of macrophages was assessed by quantitative real-time polymerase chain reaction(qPCR)and flow cytometry.Results CD24+renal epithelial cells were successfully isolated and passaged stably.Compared with the normal control group,the model control group exhibited significantly elevated Scr and BUN levels and renal pathological damage.In contrast,the CD24+cell treatment group showed significant reduction in serum biochemical markers and pathological injury compared with the model control group,along with reduction in M1 macrophage infiltration in the kidneys(P<0.05,P<0.01).In vitro co-culture experiments demonstrated that in the CD24+co-culture group,the expression of M1 polarization-related markers in macrophages was significantly lower than that in the non-co-culture group,and the proportion of CD80+M1 macrophages in the co-culture group decreased(P<0.05,P<0.01).Conclusion Allogeneic renal subcapsular transplantation of CD24+renal epithelial cells can alleviate I/R-induced AKI by inhibiting M1 macrophage polarization through paracrine mechanisms.

Objective To establish and validate a machine learning model integrating abdominal contrast-enhanced CT radiomics features and clinical characteristics,and to construct a predictive model for the efficacy of anticoagulant treatment in portal vein thrombosis(PVT).Methods A retrospective selection was conducted on 94 PVT patients who received anticoagulant treatment.Patients were divided into effective and ineffective treatment groups based on the follow-up results.Clinical information was collected,and imaging features were evaluated.Univariate and multivariate logistic regression were performed to select clinical information and imaging fea-tures for constructing a clinical-imaging model.On CT venous phase images,the PVT mask was delineated and radiomics features were extracted,and the radiomics model was screened and established.A combined model was further developed using features from both the clinical-imaging and radiomics models.Receiver operating characteristic(ROC)curves were used to evaluate the predictive efficacy of different models.Results The area under the curve(AUC)for the clinical-imaging model,radiomics model,and com-bined model were 0.594,0.794,and 0.776,respectively.The radiomics and combined models demonstrated superior predictive efficacy for anticoagulant treatment in PVT compared to the clinical-imaging model.No significant difference in performance was observed between radiomics and combined models.Conclusion The radiomics model and combined model based on abdominal contrast-enhanced CT can effectively predict the efficacy of anticoagulant treatment for PVT.

Objective:To investigate the characteristics and determinants of total scores of cerebral small vessel disease (CSVD) and to analyze the factors associated with enlarged perivascular space (EPVS) grading in pilots.Methods:The physical examination data of 72 pilots who were hospitalized and diagnosed with CSVD by MRI in the Air Force Medical Center (General Hospital of Air Force) between 2019 and 2022 was retrospectively analyzed. The pilots were grouped by the total CSVD score (0, 1, 2, 3, 4 points), and the distribution of CSVD imaging biomarkers was compared across groups. The severity of EPVS was classified into 3 levels: none or mild (0-10), moderate (11-20), and severe (>20). The impact of vascular risk factors on the total CSVD score and EPVS grading was analyzed.Results:The results of the total CSVD score showed that there were 19 cases (26.39%) with a score of 0, 43 cases (59.72%) with a score of 1, 10 cases (13.89%) with a score of 2, and 0 case with scores of 3 or 4. Among those who scored 1, there were 2 cases (4.65%) of lacunar infarction (LA), 1 case (2.33%) of moderate to severe white matter hyperintensity (WMH), 2 cases (4.65%) of cerebral microbleed (CMB), and 38 cases (88.37%) of moderate and severe EPVS. Among those who scored 2, there were 7 cases (70.00%) of LA combined with EPVS, 2 cases (20.00%) of CMB combined with EPVS, and 1 case (10.00%) of WMH combined with EPVS. According to the CSVD imaging classification of these pilots, there were 9 cases (12.50%) of LA, 52 cases (72.22%) of WMH, 4 cases (5.60%) of CMB and 61 cases (84.72%) of EPVS. Multiple ordered Logistic regression analysis showed that systolic blood pressure ( OR=1.068, 95% CI: 1.016-1.122) and high-density lipoprotein cholesterol ( OR=0.111, 95% CI: 0.015-0.843) made a difference in the total CSVD score. High-density lipoprotein cholesterol ( OR=0.166, 95% CI: 0.031-0.893) could affect the EPVS grading. Spearman′s correlation analysis showed that the systolic blood pressure level was positively correlated with the total CSVD score ( r=0.299, P=0.011), while the high-density lipoprotein cholesterol level was negatively correlated with the total CSVD score and EPVS grading ( r=-0.313, -0.263, P=0.041, 0.026). Conclusions:The total CSVD score of pilots is at a mild level with EPVS as the leading contributor. The systolic blood pressure and the high-density lipoprotein cholesterol level are determinants for the total CSVD score, while the high-density lipoprotein cholesterol level is a determinant for the EPVS grading of pilots. Blood pressure control and lipid regulation can go a long way towards preventing CSVD in pilots. The total CSVD score is of value for stratified evaluation and individual identification of pilots with CSVD.

Objective To establish and validate a machine learning model integrating abdominal contrast-enhanced CT radiomics features and clinical characteristics,and to construct a predictive model for the efficacy of anticoagulant treatment in portal vein thrombosis(PVT).Methods A retrospective selection was conducted on 94 PVT patients who received anticoagulant treatment.Patients were divided into effective and ineffective treatment groups based on the follow-up results.Clinical information was collected,and imaging features were evaluated.Univariate and multivariate logistic regression were performed to select clinical information and imaging fea-tures for constructing a clinical-imaging model.On CT venous phase images,the PVT mask was delineated and radiomics features were extracted,and the radiomics model was screened and established.A combined model was further developed using features from both the clinical-imaging and radiomics models.Receiver operating characteristic(ROC)curves were used to evaluate the predictive efficacy of different models.Results The area under the curve(AUC)for the clinical-imaging model,radiomics model,and com-bined model were 0.594,0.794,and 0.776,respectively.The radiomics and combined models demonstrated superior predictive efficacy for anticoagulant treatment in PVT compared to the clinical-imaging model.No significant difference in performance was observed between radiomics and combined models.Conclusion The radiomics model and combined model based on abdominal contrast-enhanced CT can effectively predict the efficacy of anticoagulant treatment for PVT.