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.

Endoscopic transforaminal lumbar interbody fusion (TLIF) offers substantial advantages in the management of degenerative spinal diseases, including accelerated postoperative recovery. However, its technical complexity and steep learning curve pose risks for nerve root injury. Optimizing nerve root protection in full-endoscopic facet-sparing TLIF (FE fs-TLIF) and full-endoscopic facet-resecting TLIF (FE fr-TLIF) is essential for enhancing surgical safety. This study aimed to improve the nerve root protection in FE fs-TLIF and FE fr-TLIF by optimizing cage glider selection and insertion techniques based on the specific cage shape—banana-shaped or bullet-shaped. The goal was to ensure safe cage positioning and mitigate nerve root injury during discectomy, endplate preparation, and cage insertion. These strategies were validated through cadaveric simulations and clinical implementation. In FE fr-TLIF utilizing bullet-shaped (straight) cages, one-tip and two-tip cage gliders effectively protected the traversing nerve root by facilitating medial cage entry, thereby minimizing irritation of the exiting nerve root. Conversely, in FE fr-TLIF with banana-shaped cages, the lateral tilt of the cage holder during implantation required the use of a two-tip cage glider to protect the traversing and exiting nerve roots, thereby mitigating the potential risk of nerve irritation. In FE fs-TLIF, a one-tip cage glider is preferred for safeguarding the exiting nerve root, while the traversing root is inherently protected by the medial wall of the facet joint. The use of a two-tip cage glider in FE fs-TLIF can cause injury to the nerve root during glider insertion. In addition to the selection of cage gliders, improper cage insertion steps can also contribute to postoperative neurapraxia. The appropriate selection of cage gliders with corresponding insertion techniques is critical for nerve root protection in endoscopic TLIF. Tailoring these choices to the specific approach (FE fs-TLIF or FE fr-TLIF) and cage type (banana or bullet) enhances surgical safety and clinical outcomes.

Purpose: Adjuvant pembrolizumab improved disease-free survival (DFS) and overall survival (OS) versus placebo in participants with renal cell carcinoma (RCC) at increased risk of recurrence after nephrectomy in the global phase 3 KEYNOTE-564 study. This post hoc subgroup analysis evaluated the efficacy and safety of adjuvant pembrolizumab in East Asian (Japan, South Korea, and Taiwan) participants enrolled in KEYNOTE-564. Materials and Methods: Eligible participants were randomly assigned 1:1 to receive adjuvant pembrolizumab 200 mg or placebo intravenously every 3 weeks for ≤ 17 cycles. The primary endpoint was DFS by investigator assessment. OS was a key secondary endpoint. Safety was a secondary endpoint. Results: The East Asian subgroup included 126 participants (pembrolizumab, n=58; placebo, n=68). Median follow-up was 62.1 months (range, 49.6 to 73.0 months). Hazard ratio for DFS with pembrolizumab versus placebo was 0.70 (95% confidence interval 0.41 to 1.20). Median DFS was not reached with pembrolizumab versus 58.8 months with placebo; estimated 48-month rate was 61.3% versus 51.2%. Hazard ratio for OS was 0.47 (95% confidence interval, 0.15 to 1.49). Median OS was not reached with pembrolizumab and placebo; estimated 48-month rate was 94.8% versus 91.2%. Treatment-related adverse events occurred in 70.7% of participants (29.3% grade 3 or 4) receiving pembrolizumab and 36.8% of participants (0.0% grade 3 or 4) receiving placebo. No pembrolizumab-related deaths occurred. Conclusion In the KEYNOTE-564 East Asian subgroup, adjuvant pembrolizumab provided DFS and OS benefits versus placebo and had a safety profile consistent with the global results. These results further support pembrolizumab as adjuvant treatment for East Asian patients with RCC at increased risk of recurrence after nephrectomy.

Background/Aims: Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy. Methods: We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues. Results: We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts. Conclusion Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.

Objective To explore the role of CC chemokine ligand-18 (CCL18) positive tumor-associated macrophages in immune escape of gastric cancer and their impact on the tumor microenvironment. Methods Three gastric cancer patient cohorts were included in Zhongshan Hospital, Fudan University (449 cases in the radical surgery cohort, 46 cases in the palliative treatment cohort, and 48 cases in the flow cytometry analysis cohort), and one group of patients from The Cancer Genome Atlas (TCGA) database were included. The CCL18⁺ tumor-associated macrophage gene signature was obtained from the TCGA database, and differential gene expression in the TCGA cohort was analyzed based on this signature. Immunofluorescence was used to assess the infiltration of CCL18⁺ tumor-associated macrophages in tissue microarrays of patients from two treatment cohorts. The association between CCL18⁺ tumor-associated macrophages and clinical outcomes as well as related gene expression was examined. Using single-cell suspensions derived from tumor tissues, flow cytometry was employed to evaluate the immunophenotype of CCL18⁺ tumor-associated macrophages; the potential therapeutic effects of blocking CCL18 in gastric cancer were assessed through in vitro culture. Results In curative surgery cohort, patients with high infiltration of CCL18^＋tumor-associated macrophages had shorter overall survival and disease-free survival compared to those with low infiltration (P＜0.01). In palliative cohort, patients with high infiltration of CCL18^＋tumor-associated macrophages exhibited shorter progression-free survival compared to those with low infiltration (P＝0.015). The proportion of exhausted CD8^＋T cells was significantly increased in the cancer tissues with high infiltration of CCL18^＋tumor-associated macrophages compared to those with low infiltration (P＜0.001). Tumors with high CCL18^＋tumor-associated macrophages gene signature expressed significantly higher level of programmed death-ligand 1 (PD-L1) and transforming growth factor-β (TGF-β）than those with low CCL18^＋tumor-associated macrophages gene signature in TCGA queue (P＜0.001). The expression levels of PD-L1 and TGF-β were higher in CCL18^＋tumor-associated macrophages than those in CCL18^－tumor-associated macrophages (P＜0.05). After CCL18 intervention, the proportions of cytotoxic CD8⁺ T cells and apoptotic epithelial cells (Annexin Ⅴ^＋) were increased (P＜0.05), while the proportion of proliferating epithelial cells (Ki67^＋) was decreased (P＜0.001). Conclusion CCL18^＋tumor-associated macrophages infiltration is associated with prognoses in patients with gastric cancer, and might promote an immunosuppressive microenvironment in gastric cancer by expressing PD-L1 and TGF-β, and blockade of CCL18 might be a new direction for gastric cancer treatment.

ObjectiveTo construct and evaluate various machine learning models for predicting the risk of chronic obstructive pulmonary disease （COPD） in individuals， thereby providing data support for early screening and intervention. MethodsA total of 823 subjects were selected for this study， comprising 142 individuals in the high-risk group for COPD and 681 individuals in the low-risk group. Data collected included demographic characteristics， smoking history， symptoms （such as cough and shortness of breath）， and scores from the Chronic obstructive pulmonary disease screening questionnaire. Four machine learning algorithms—Logistic regression， random forest， support vector machine， and XGBoost—were utilized to construct risk prediction models. The performance of these models was assessed using 5-fold cross-validation， with evaluation metrics including accuracy， precision， recall， F1-score， area under the receiver operating characteristic curve （AUC）， and average precision （AP）. Furthermore， a feature importance analysis was performed. ResultsThe Logistic Regression model exhibited superior performance， achieving an AUC of 0.982 and an AP of 0.939. This was closely followed by the Random Forest model， which recorded an AUC of 0.975 and an AP of 0.890. Feature importance analysis revealed that smoking history， symptoms of shortness of breath， and body weight were significant predictors. All models demonstrated robust performance in identifying low-risk populations； however， variations were observed in their efficacy in identifying high-risk populations. ConclusionMachine learning models have proven effective in identifying individuals at high risk for COPD. Among these， the Logistic regression model exhibits the best overall performance， efficiently identifying high-risk populations and serving as a valuable clinical auxiliary screening tool. Various models， each with distinct performance characteristics， are suited to different clinical screening scenarios， thereby offering targeted decision-making support for the establishment of a hierarchical and intelligent COPD screening pathway.

Objective Jejunal interposition is an important option for restoring gastrointestinal continuity in patients with complex esophageal cancer in whom the stomach is unavailable for reconstruction due to previous gastrectomy, tumor involvement, failed gastric conduit, or other constraints. Although the jejunum offers a caliber similar to the esophagus, a rich blood supply, and preserved peristaltic function, anatomical variations in mesenteric length and vascular arcades render long-segment and high-level reconstruction susceptible to excessive tension, mesenteric torsion, venous congestion, and inadequate distal perfusion. This consensus aims to provide standardized recommendations for the application of jejunal interposition in this specific patient population. Methods This consensus was developed in accordance with the WHO Handbook for Guideline Development and Chinese national guideline development standards, with reference to the Appraisal of Guidelines for Research & Evaluation Ⅱ(AGREE Ⅱ), Reporting Items for Practice Guidelines in Healthcare (RIGHT), and Scientific, Transparent and Applicable Rankings (STAR) checklists. The project was registered on the international practice guidelines registry platform (PREPARE-2026CN1384). The working group systematically searched Chinese and English evidence addressing 12 clinical questions. Evidence was graded using the Oxford Centre for Evidence-Based Medicine (OCEBM) 2009 system, with structured appraisal of risk of bias, inconsistency, indirectness, and imprecision. Recommendations were formulated through two rounds of Delphi surveys and a face-to-face consensus meeting, with an agreement threshold of ≥75%. Results The consensus generated 12 recommendations covering indications, selection between jejunum and colon, preoperative assessment, surgical approach and reconstruction route, pedicled jejunal interposition (PJI), supercharged pedicled jejunal interposition (SPJ), indocyanine green (ICG) perfusion assessment, perioperative nutrition, management of anastomotic leakage, long-term follow-up, and special treatment scenarios. Given that the available direct evidence is predominantly derived from single-center retrospective cohorts and case series, recommendations extrapolated from general esophagectomy or other gastrointestinal surgical evidence are deliberately phrased with caution. Conclusion Jejunal interposition is a safe and effective approach for digestive tract reconstruction in patients with complex esophageal cancer in whom the stomach is unavailable. This consensus emphasizes that clinical decision-making should be individualized based on the patient's prior treatment history, reconstruction height, vascular anatomy, technical availability, and institutional experience in the Chinese context.

Objective: To investigate the mechanism of action of Prim-O-glucosylcimifugin (POG) to improve cholesterol metabolism in osteoarthritic (OA) chondrocytes based on the long noncoding RNA nuclear-enriched transcript 1 (lncRNA NEAT1)/microRNA-128-3p (miR-128-3p) pathway. Methods: For in vivo experiments, 60 mice were divided into the normal, sham operation, model, and POG groups using the random number table method, with 15 mice per group. The osteoarthritis mouse model was constructed using the modified Hulth method in the model and POG groups. Mice in the POG group were administered 30 mg/(kg·d)POG by gavage. The other groups were administered an equal amount of normal saline for 8 weeks. The cartilage tissue structure of mice in each group was observed using hematoxylin and eosin staining. Real-time PCR was used to detect changes in the lncRNA NEAT1 and miR-128-3p mRNA expression levels in the cartilage tissues of mice. Western blotting was used to detect the protein expressions of ATP-binding cassette transporter A1 (ABCA1), liver X receptor β (LXRβ), matrix metalloprotein-3 (MMP-3), and B-lymphoblastoma-2-associated X protein (Bax) in articular cartilage of mice. An enzyme-linked immunosorbent assay was used to measure the tumor necrosis factor-α (TNF-α) content in the synovial fluid of mice. A biochemical microplate assay was used to measure the total cholesterol level in the synovial fluid of mice. The in vitro experiments were divided into the negative control, interleukin-1β(IL-1β), IL-1β+ POG, IL-1β+ oe-lncRNA NEAT1, IL-1β+ oe-lncRNA NEAT1 + POG, IL-1β + miR-128-3p inhibition, and IL-1β+ miR-128-3p inhibition+ POG groups. An OA model was established by inducing chondrocytes with IL-1β for 24 h, and 90 mg/L of POG and miR-128-3p inhibitor(50 nmol/L) were administered for 48 h as an intervention. lncRNA NEAT1 expression in chondrocytes was detected using fluorescence in situ hybridization. A dual luciferase assay was used to detect the targeting relationship between lncRNA NEAT1 and miR-128-3p. Lentiviral plasmids overexpressing lncRNA NEAT1 were used to transfect mouse chondrocytes. Real-time PCR was used to detect the effect of lncRNA NEAT1 overexpression on the mRNA level of miR-128-3p in chondrocytes. Western blotting was used to detect ABCA1, LXRβ, MMP-3, and Bax protein expression in chondrocytes after lncRNA NEAT1 overexpression and miR-128-3p inhibition. Results: POG significantly reduced OA cartilage tissue damage. Compared with the model group, the lncRNA NEAT1 mRNA level decreased, whereas the miR-128-3p mRNA level increased in the cartilage tissue of the POG group (P<0.05). Compared with the model group, ABCA1 and LXRβ protein expression increased in the POG group, whereas MMP-3 and Bax protein expression decreased (P<0.05). The TNF-α levels decreased in the POG group compared to the model group (P<0.05). Compared with the model group, the total cholesterol level in the synovial fluid of the joint of mice in the POG group decreased (P<0.05). The mean fluorescence intensity of lncRNA NEAT1 in the IL-1β+ POG group decreased compared with the IL-1β group (P<0.05). The relative luciferase activity in the miR-128-3p mimics group bound to the lncRNA NEAT1-WT plasmid decreased compared with the miR-128-3p negative control group (P<0.05). The lncRNA NEAT1 mRNA levels decreased, whereas the miR-128-3p mRNA levels increased in the IL-1β+ oe-lncRNA NEAT1 + POG group compared with the IL-1β+ oe-lncRNA NEAT1 group (P<0.05). Compared with the IL-1β+ POG group, ABCA1 and LXRβ protein expression decreased, whereas MMP-3 and Bax protein expression increased (P<0.05). Conclusion POG mediates lncRNA NEAT1/miR-128-3p to improve cholesterol metabolism in OA chondrocytes.

Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.