1.Allogeneic lung transplantation in miniature pigs and postoperative monitoring
Yaobo ZHAO ; Ullah SALMAN ; Kaiyan BAO ; Hua KUI ; Taiyun WEI ; Hongfang ZHAO ; Xiaoting TAO ; Xinzhong NING ; Yong LIU ; Guimei ZHANG ; He XIAO ; Jiaoxiang WANG ; Chang YANG ; Feiyan ZHU ; Kaixiang XU ; Kun QIAO ; Hongjiang WEI
Organ Transplantation 2026;17(1):95-105
Objective To explore the feasibility and reference value of allogeneic lung transplantation and postoperative monitoring in miniature pigs for lung transplantation research. Methods Two miniature pigs (R1 and R2) underwent left lung allogeneic transplantation. Complement-dependent cytotoxicity tests and blood cross-matching were performed before surgery. The main operative times and partial pressure of arterial oxygen (PaO2) after opening the pulmonary artery were recorded during surgery. Postoperatively, routine blood tests, biochemical blood indicators and inflammatory factors were detected, and pathological examinations of multiple organs were conducted. Results The complement-dependent cytotoxicity test showed that the survival rate of lymphocytes between donors and recipients was 42.5%-47.3%, and no agglutination reaction occurred in the cross-matching. The first warm ischemia times of D1 and D2 were 17 min and 10 min, respectively, and the cold ischemia times were 246 min and 216 min, respectively. Ultimately, R1 and R2 survived for 1.5 h and 104 h, respectively. Postoperatively, in R1, albumin (ALB) and globulin (GLB) decreased, and alanine aminotransferase increased; in R2, ALB, GLB and aspartate aminotransferase all increased. Urea nitrogen and serum creatinine increased in both recipients. Pathological results showed that in R1, the transplanted lung had partial consolidation with inflammatory cell infiltration, and multiple organs were congested and damaged. In R2, the transplanted lung had severe necrosis with fibrosis, and multiple organs had mild to moderate damage. The expression levels of interleukin-1β and interleukin-6 increased in the transplanted lungs. Conclusions The allogeneic lung transplantation model in miniature pigs may systematically evaluate immunological compatibility, intraoperative function and postoperative organ damage. The data obtained may provide technical references for subsequent lung transplantation research.
2.Construction of Perimenopausal Depression Animal Models and Mechanism of Action of Traditional Chinese Medicine: A Review
Xiaoting LI ; Shouzhu XU ; Jun KE ; Zhan ZHANG ; Bao XIN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(4):258-267
Perimenopausal depression (PMD) is an affective disorder that occurs in women during the transition from sexual maturity to old age. It can induce various complications, such as insomnia and cognitive decline. The etiology of PMD is complex. Although multiple hypotheses have been proposed, there is still no unified theory that fully explains its pathogenesis. Research into its mechanisms relies heavily on animal experiments, and establishing reliable animal models is crucial for experimental studies. Appropriate animal models can better simulate human pathophysiological states, rapidly evaluate the efficacy and safety of drugs and intervention methods, grasp the essence of the disease, and uncover its intrinsic connections, thereby exploring more advanced intervention strategies. However, there is a lack of systematic review and summarization of literature related to model construction. Additionally, traditional Chinese medicine (TCM), adhering to the principles of ''syndrome differentiation and treatment'' and ''holistic concept'', has shown significant efficacy in treating PMD. In recent years, research exploring and analyzing its therapeutic mechanisms has been increasing. Therefore, to gain a clearer and more comprehensive understanding of PMD animal modeling methods and the mechanisms of TCM, this paper reviewed Chinese and English literature on PMD animal models and mechanisms of TCM in PMD treatment. It summarized the construction methods of single-factor and multi-factor PMD models, and discussed the advantages and disadvantages of each modeling approach. Furthermore, it delved into the mechanisms of TCM intervention in PMD, revealing that TCM formulas primarily exert their effects by regulating the hypothalamic-pituitary-adrenal axis, hypothalamic-pituitary-ovarian axis, gut-brain axis, cell signaling pathways, neural circuits, hormone levels, and neurotransmitter levels. This review aims to provide a reference for future research in this field. In summary, by summarizing the progress in the methods for PMD animal model construction and the mechanisms of TCM, the paper seeks to offer new insights into the mechanistic research of TCM intervention in PMD.
3.Reconceptualizing Critical Illness in Cancer Through the Lens of Host Unregulated Response
Yun CHU ; Shiyi GONG ; Xin DING ; Hua ZHAO ; Huan CHEN ; Qing ZHANG ; Xiaoting WANG
Medical Journal of Peking Union Medical College Hospital 2026;17(1):1-9
Onco-critical care has emerged as an important subspecialty at the intersection of critical care medicine and oncology, attracting increasing attention in recent years. With continuous innovations in cancer therapies, patient survival has improved significantly; however, the incidence of associated critical complications has also increased. The reasons for cancer patients requiring intensive care unit admission are diverse and can be broadly categorized into three groups: progression of the underlying malignancy, treatment-related complications, and coexisting classical critical illnesses. Traditional critical care concepts and practices face limitations in addressing the multidimensional and heterogeneous challenges of onco-critical care. Based on the core mechanism of critical illness development—host/organ unregulated response (HOUR)—this article systematically elaborates on how this framework advances understanding and clinical practice into onco-critical care, with emphasis on its manifestations in neuroendocrine, immune-inflammatory, and coagulation-metabolic pathways. The review summarizes recent advances in clinical assessment and phenotyping systems for onco-critical illness and discusses a multidisciplinary, integrated management strategy centered on the "Disease Control, Host Response Modulation, Organ Support" triad. Finally, major challenges and future directions in this field are outlined. By integrating existing evidence and theoretical insights, this review aims to provide new perspectives and a theoretical foundation for the clinical management of onco-critical illness, thereby promoting its evolution toward precision and standardization.
4.Treatment Strategies for Tumor Immunotherapy-Related Organ Dysfunction Based on Host Unregulated Response
Medical Journal of Peking Union Medical College Hospital 2026;17(1):16-22
Cancer immunotherapy, particularly immune checkpoint inhibitors (ICIs), has significantly improved the prognosis of patients with various malignancies. However, the immune-related adverse events (irAEs) and associated organ dysfunction they trigger have become key issues affecting treatment safety and long-term patient survival. Pathophysiologically, irAEs share common features with classical critical illnesses like sepsis, both involving host/organ unregulated response (HOUR). The key distinction lies in irAEs primarily manifesting as overactivation of the immune system. Clinically, differentiating irAEs from infection in ICI-treated patients presenting with new-onset organ dysfunction is often challenging. Building upon the HOUR theoretical framework, this article proposes a PRISM management strategy integrating multi-omics technology, aiming to provide a personalized approach for the diagnosis and treatment of immunotherapy-related organ dysfunction. The PRISM strategy encompasses five key components: Precise etiological differentiation, Regulation of host response, Immunotherapy risk prediction, Support of organ function, and Multidisciplinary collaboration. By integrating multi-omics biomarkers and patient clinical characteristics, the PRISM strategy enables early warning and precise phenotyping of organ dysfunction and offers individualized intervention plans. It holds promise for significantly improving the clinical management of irAEs, enhancing patients' quality of life and long-term prognosis, thereby providing a theoretical foundation and practical guidance for the precise prevention and treatment of critical illnesses associated with immunotherapy.
5.Mechanism Exploration of Doxorubicin and Sepsis Induced Myocardial Injury: Differences and Convergences
Tao ZHANG ; Zihan NAN ; Lixia LIU ; Jiaqi LIU ; Xiukai CHEN ; Xiaoting WANG ; Suwen SU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):23-32
Doxorubicin (DOX)-induced cardiotoxicity and sepsis-induced myocardial injury (SIMI) represent significant clinical challenges in patients undergoing chemotherapy, sharing a common pathological basis of oxidative stress and mitochondrial dysfunction. Ferroptosis, an iron-dependent form of regulated cell death driven by lipid peroxidation, has recently been shown to play a critical role in DOX-induced cardiotoxicity and lipopolysaccharide (LPS)-induced SIMI. This article systematically reviews the mechanisms underlying myocardial injury caused by DOX and sepsis, identifying ferroptosis as a central common pathway. DOX triggers a burst of reactive oxygen species within mitochondria and inhibits glutathione peroxidase 4 (GPX4) activity through redox cycling of its quinone group and high-affinity accumulation in mitochondrial cardiolipin. LPS, by activating pattern recognition receptors and related inflammatory signaling pathways, provokes a cytokine storm and mitochondrial dysfunction. Both can disrupt the core regulatory axis of cysteine-glutathione (GSH)-GPX4, synergistically promoting ferroptosis in cardiomyocytes. Moreover, epigenetic regulation plays a key role in DOX- and LPS-induced cardiomyocyte ferroptosis and may serve as a promising therapeutic target. A deeper understanding of the ferroptosis mechanism and its epigenetic regulatory network in the synergistic injury induced by DOX and sepsis is of great importance for developing novel strategies to mitigate chemotherapy-related cardiotoxicity and improve outcomes in cancer patients with concurrent infections.
6.Expert Consensus on Blood Flow and Oxygen Delivery Phenotyping and Clinical Management of Septic Shock(2025)
Wei HUANG ; Xinchen WANG ; Wenzhao CHAI ; Keliang CUI ; Bo YAO ; Zhiqun XING ; Cui WANG ; Jingjing LIU ; Shiyi GONG ; Dongkai LI ; Wanhong YIN ; Xiaoting WANG ; Wei DU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):40-58
Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. Septic shock is the primary cause of mortality in sepsis, with its core pathophysiological mechanism being severe ischemia and hypoxia in critical units—composed of microcirculation and the mitochondria of functional cells—resulting from disruptions in blood flow and oxygen flow following a dysregulated host response. Due to the systemically convergent yet clinically heterogeneous nature of the host response, current understanding and management strategies for hemodynamics remain inconsistent, often leading to inadequate resuscitation or overtreatment. To improve the quality of care, based on a systematic review of the "blood flow-oxygen flow" theory, an expert panel emphasizes reevaluating septic shock from an integrated perspective of blood flow and oxygen flow, and has formulated the
7.Expert Consensus on Neurocritical Care Monitoring and Management in Beijing and Tibet(2025)
Drolma PHURBU ; Wenjin CHEN ; Heng ZHANG ; Jian ZHANG ; Xiaomeng WANG ; Guoying LIN ; Wenjun PAN ; Xiying GUI ; Xin CAI ; Chodron TENZIN ; Jianlei FU ; Qianwei LI ; TSEYANG ; Yijun LIU ; Bo LIU ; Tsering DROLMA ; Yudron SONAM ; KYILV ; Samdrup TSERING ; Wa DA ; Juan GUO ; Cheng QIU ; Huan CHEN ; Xiaoting WANG ; Yangong CHAO ; Dawei LIU ; Wenzhao CHAI ; Chenggong HU ; Wanhong YIN ; Shihong ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):59-72
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.
8.Standards for the Application of Hemodynamic Monitoring Technology in Critical Care
Hua ZHAO ; Hongmin ZHANG ; Xin DING ; Huan CHEN ; Jun DUAN ; Wei DU ; Bo TANG ; Yuankai ZHOU ; Dongkai LI ; Xinchen WANG ; Cui WANG ; Gaosheng ZHOU ; Xiaoting WANG
Medical Journal of Peking Union Medical College Hospital 2026;17(1):73-85
With the rapid advancement of hemodynamic indices and monitoring technologies, their classification methods and application processes have become increasingly complex. Currently, no unified standard hasbeen established, making it difficult to fully meet the clinical requirements for hemodynamic management. To assist in hemodynamic monitoring assessment and therapeutic decision-making in critically ill patients, the Critical Hemodynamic Therapy Collaborative Group, in conjunction with the Critical Ultrasound Study Group, has jointly developed the Standard for the Application of Hemodynamic Monitoring Techniques in Critical Care. The first part of this standard systematically categorizes hemodynamic indicators into flow indicators, pressure and its derivative indicators, and tissue perfusion indicators, while elaborating on the clinical application of each. The second part establishes a standardized clinical implementation pathway for hemodynamic monitoring. It proposes a tiered monitoring strategy-comprising basic, advanced, indication-specific, and special scenario monitoring-tailored to different clinical settings. It emphasizes the central role of critical care ultrasound across all levels of monitoring and establishes hemodynamic assessment standards for organs such as the brain, kidneys, and gastrointestinal tract. This standard aims to provide a unified framework for clinical practice, teaching, training, and research in critical care medicine, thereby promoting standardized development within the discipline.
9.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
10.Expression characteristics, targeted regulation, and synergistic mechanisms of IGF2BP3 and UXS1 in hepatocellular carcinoma
DENG Yulong ; WEI Lianqing ; WU Xingchen ; XIE Xiaoting ; XIONG Dandan
Chinese Journal of Cancer Biotherapy 2026;33(1):66-76
[摘 要] 目的:探讨胰岛素样生长因子2 mRNA结合蛋白3(IGF2BP3)、尿苷二磷酸-葡萄糖醛酸脱羧酶1(UXS1)在肝细胞癌(HCC)中的表达特征、预后价值及两者协同作用的分子机制。方法:整合UALCAN、cBioPortal、ENCORI、TISCH2、GDSC等公共数据库的转录组数据,对IGF2BP3和UXS1进行表达、预后评估、功能富集及药物敏感性等分析。收集GEO数据库的单细胞RNA测序(scRNA-seq)数据,分析细胞通信、单细胞代谢评分,系统解析IGF2BP3-UXS1轴在HCC中的具体作用。结果:IGF2BP3、UXS1在HCC组织中均显著高表达,且高表达患者总生存期显著缩短(均P < 0.05)。采用CRISPP技术敲除IGF2BP3或UXS1后,多种HCC细胞的增殖能力受到明显抑制。scRNA-seq分析揭示了IGF2BP3、UXS1在肝细胞等细胞类型中的广泛表达分布,前者在细胞分化晚期上调,后者则在细胞分化早、中期高表达。IGF2BP3、UXS1高表达组均显著激活了MIF通路,同时IGF2BP3的高表达削弱了成纤维细胞的相互作用,而UXS1的高表达则增强了T细胞的信号转导功能。IGF2BP3与UXS1在表达相关性中存在显著的正相关(r = 0.432,P < 0.05)。沉默IGF2BP3结合位点会导致UXS1表达水平变化(F = 0.333)。功能富集分析提示,IGF2BP3与UXS1协同调控能量代谢、蛋白质翻译等生物学过程。在IGF2BP3或UXS1高表达的细胞亚群中,发现两者与多个糖代谢相关通路存在显著关联。IGF2BP3、UXS1高表达的患者对优普色替等药物表现出显著的敏感性,还对药物那维托克等表现出显著的耐药性。结论: IGF2BP3、UXS1在HCC中高表达,两者通过调控糖代谢重编程的协同作用促进HCC恶性生物学行为。

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