1.Analysis of Animal Models of Retinitis Pigmentosa Based on Diagnostic Features of Chinese and Western Medicine
Xiaoyu LI ; Lina LIANG ; Jiefeng CHEN ; Xiaoxiao ZHU ; Yina QI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):198-203
Retinitis pigmentosa (RP) is the most common hereditary blinding eye disease in clinical practice, with the pathogenesis remaining unclear. Patients experience progressive apoptosis of retinal photoreceptor cells, accompanied by degeneration of retinal pigment epithelium (RPE) cells. Current Western medical treatments mainly focus on gene therapy and stem cell transplantation, showing limited efficacy. In contrast, clinical observations have confirmed the therapeutic effects of traditional Chinese medicine (TCM) treatments. Establishing an RP animal model that aligns with the diagnostic features of both TCM and Western medicine could help combine the strengths of both approaches, thereby broadening the treatment options for RP. This study categorizes and summarizes the existing RP animal models in terms of classification, types, inheritance patterns, and alignment with clinical manifestations. It is found that current RP models are primarily derived from natural animal models such as RD mice and RCS rats, transgenic animal models like RPE-65 knockout mice and rhodopsin gene knockout mice, and chemically induced models such as those created by monochromatic light exposure or N-ethyl-N-nitrosourea (ENU) administration. These three categories of models focus more on detecting RP-related histopathological, molecular biological, and cellular immunological indicators, but offer limited observation of the overall characteristics of the disease and lack insight into syndrome differentiation. Although RP is a congenital genetic disease, its progression is influenced by acquired factors such as environment, constitution, emotions, and care. Current models do not fully capture the characteristics of this disease. Therefore, establishing an RP animal model based on the diagnostic features of both TCM and Western medicine will have significant implications for future experimental and clinical research.
2.Current Status of Traditional Chinese Medicine Diagnosis and Treatment of Inflammatory Bowel Disease and the Research on Mechanism
Junxiang LI ; Hong SHEN ; Tangyou MAO ; Lei ZHU ; Jiaqi ZHANG ; Zhibin WANG ; Xudong TANG
Journal of Traditional Chinese Medicine 2026;67(1):103-110
In recent years, traditional Chinese medicine (TCM) has achieved significant progress in the treatment of inflammatory bowel disease (IBD). A comprehensive literature search was conducted covering the period from January 1, 2010, to December 30, 2024, across Chinese databases including China National Knowledge Infrastructure (CNKI), Wanfang Data, VIP China Science and Technology Journal Database, and the Chinese Biomedical Literature Service System, as well as international databases such as PubMed, Web of Science, and Embase. The clinical applications and mechanistic studies of TCM in IBD were systematically reviewed. The current status of TCM research on the etiology and pathogenesis of IBD, innovative clinical practices, and multimodal therapeutic approaches, including Chinese herbal formulas, single herbs or active compounds, acupuncture, herbal retention enema, and acupoint application, were summarized, together with their synergistic effects when combined with western medical treatments. The development and application of Chinese patent medicines for IBD are undergoing a profound transition from efficacy validation to mechanistic exploration. Mechanistic studies on the effects of TCM in IBD mainly focus on regulating gut microbiota homeostasis, repairing the intestinal mucosal barrier, and modulating intestinal immune balance. Furthermore, future research directions for TCM-based IBD management are proposed, including the establishment of TCM diagnostic and treatment models, expanding integrated applications of external and internal TCM therapies, innovating personalized treatment strategies, and advancing drug development. These efforts aim to provide insights for the standardized and precision-oriented development of TCM in the diagnosis and treatment of IBD.
3.Research progress and clinical challenges in immunosuppressive regimens for xenotransplantation
Yu ZHANG ; Kun WANG ; Xuyuan ZHU ; Yuxiang CHEN ; Tao LI ; Xiaojie MA ; Hongtao JIANG
Organ Transplantation 2026;17(1):28-35
As a pivotal strategy to alleviate the shortage of organ donors, xenotransplantation has achieved remarkable advances in both pre-clinical and clinical studies in recent years, driven by continuous optimization of gene modification techniques and immunosuppressive regimens. Nevertheless, clinical translation still confronts formidable challenges, including rejection and heightened infection risks, which severely compromise long-term graft survival. Consequently, the role of immunosuppressive regimens in xenotransplantation has become increasingly prominent. This article summarizes the mechanisms underlying xenogeneic immune rejection, the latest developments in immunosuppressive regimens, cutting-edge strategies for inducing immune tolerance and the major hurdles facing clinical xenotransplantation. It delves into potential optimization strategies and directions for future clinical research, aiming to offer theoretical insights and practical guidance for the safe and effective application of clinical xenotransplantation.
4.Analysis of factors affecting renal function and surgical complications in recipients after living donor kidney transplantation
Dingran LI ; Jingcheng LÜ ; Yichen ZHU
Organ Transplantation 2026;17(1):77-85
Objective To explore factors affecting the postoperative renal function and surgical complications in recipients of living donor kidney transplantation. Methods A retrospective analysis was conducted on medical records of 119 patients who underwent living donor kidney transplantation at Beijing Friendship Hospital Affiliated to Capital Medical University, from January 2020 to September 2024. The severity of surgical complications was evaluated using the Clavien-Dindo score. Spearman correlation analysis was used to analyze the correlation between preoperative general data, surgical data, preoperative laboratory data and the Clavien-Dindo score. Multiple linear regression analysis was performed on the correlated factors. Univariate and multivariate logistic regression analyses were used to analyze the factors affecting the occurrence of delayed graft function (DGF) after surgery. Results The body mass index, history of hypertension, cold ischemia time, the first warm ischemia time, the second warm ischemia time, prothrombin activity and international normalized ratio were all correlated with the Clavien-Dindo score. Multiple linear regression analysis showed that the longer the second warm ischemia time and the first warm ischemia time were, the higher the Clavien-Dindo score was, and the more severe the postoperative surgical complications were (all P<0.05). Multivariate logistic regression analysis showed that long the first warm ischemia time and long dialysis time were independent risk factors for the occurrence of DGF after surgery (all P<0.05). Conclusions Prolonged the second warm ischemia time and the first warm ischemia time may increase the severity of surgical complications in recipients after living donor kidney transplantation. Long the first warm ischemia time and long dialysis time are independent risk factors for the occurrence of DGF after surgery.
5.Study on the effects and mechanisms of Lycium ruthenicum Murr. in improving sleep
Ming QIAO ; Yao ZHAO ; Yi ZHU ; Yexia CAO ; Limei WEN ; Yuehong GONG ; Xiang LI ; Juanchen WANG ; Tao WANG ; Jianhua YANG ; Junping HU
China Pharmacy 2026;37(1):24-29
OBJECTIVE To investigate the effects and mechanisms of Lycium ruthenicum Murr. in improving sleep. METHODS Network pharmacology was employed to identify the active components of L. ruthenicum and their associated disease targets, followed by enrichment analysis. A caffeine‑induced zebrafish model of sleep deprivation was established , and the zebrafish were treated with L. ruthenicum Murr. extract (LRME) at concentrations of 0.1, 0.2 and 0.4 mg/mL, respectively; 24 h later, behavioral changes of zebrafish and pathological alterations in brain neurons were subsequently observed. The levels of inflammatory factors [interleukin-6 (IL-6), IL-1β, IL-10, tumor necrosis factor-α (TNF-α)], oxidative stress markers [superoxide dismutase (SOD), malondialdehyde (MDA), glutathione peroxidase (GSH-Px), catalase (CAT)], and neurotransmitters [5- hydroxytryptamine (5-HT), γ-aminobutyric acid (GABA), glutamic acid (Glu), dopamine (DA), and norepinephrine (NE)] were measured. The protein expression levels of protein kinase B1 (AKT1), phosphorylated AKT1 (p-AKT1), epidermal growth factor receptor (EGFR), B-cell lymphoma 2 (Bcl-2), sarcoma proto-oncogene,non-receptor tyrosine kinase (SRC), and heat shock protein 90α family class A member 1 (HSP90AA1) in the zebrafish were also determined. RESULTS A total of 12 active components and 176 intersecting disease targets were identified through network pharmacology analysis. Among these, apigenin, naringenin and others were recognized as core active compounds, while AKT1, EGFR and others served as key targets; EGFR tyrosine kinase inhibitor resistance signaling pathway was identified as the critical pathway. The sleep improvement rates in zebrafish of LRME low-, medium-, and high-dose groups were 54.60%, 69.03% and 77.97%, 开发。E-mail:hjp_yft@163.com respectively, while the inhibition ratios of locomotor distance were 0.57, 0.83 and 0.95, respectively. Compared with the model group, the number of resting counts, resting time and resting distance were significantly increased/extended in LRME medium- and high-dose groups (P<0.05). Neuronal damage in the brain was alleviated. Additionally, the levels of IL-6, IL-1β, TNF-α, MDA, Glu, DA and NE, as well as the protein expression levels of AKT1, p-AKT1, EGFR, SRC and HSP90AA1, were markedly reduced (P<0.05), while the levels of IL-10, SOD, GSH-Px, CAT, 5-HT and GABA, as well as Bcl-2 protein expression, were significantly elevated (P<0.05). CONCLUSIONS L. ruthenicum Murr. demonstrates sleep-improving effects, and its specific mechanism may be related to the regulation of inflammatory responses, oxidative stress, neurotransmitter balance, and the EGFR tyrosine kinase inhibitor resistance signaling pathway.
6.Cost-utility analysis of rezivertinib versus gefitinib as first-line treatment for EGFR mutation-positive advanced non-small cell lung cancer
Xiaowei ZHU ; Tongming ZHU ; Jia YI ; Wenqiang LI ; Piaopiao LU ; Aizong SHEN
China Pharmacy 2026;37(1):55-60
OBJECTIVE To evaluate the cost-effectiveness of rezivertinib versus gefitinib as first-line treatment for epidermal growth factor receptor (EGFR) mutation-positive advanced non-small cell lung cancer (NSCLC) from the perspective of the Chinese healthcare system. METHODS A Markov model was constructed based on the REZOR trial data, with a cycle length of 3 weeks and a study duration of 5 years. Both costs and health outcomes were discounted at an annual rate of 5%. A cost-utility analysis was conducted using 3 times China’s 2024 per capita gross domestic product as the willingness-to-pay (WTP) threshold. The economic differences between the rezivertinib regimen versus the gefitinib regimen were evaluated using the incremental cost- effectiveness ratio (ICER) and incremental net monetary benefit (INMB). Sensitivity and scenario analyses were performed to verify the robustness of the model. RESULTS Compared to the gefitinib regimen, the rezivertinib regimen saved 225 310.47 yuan and gained an additional 0.57 quality- adjusted life years (QALYs), resulting in an ICER of -395 562.80 yuan/QALY, which was much lower than the WTP threshold of this study, indicating that rezivertinib had an absolute economic advantage. The INMB analysis (389 041.26 yuan) further validated this conclusion. One-way and probabilistic sensitivity analyses confirmed the robustness of the model. Scenario analysis, incorporating a 15% reduction in drug prices and adjustments to the utility values for progression free survival and progression disease, yielded consistent results with the base case analysis. CONCLUSIONS Compared to gefitinib, rezivertinib as a first-line treatment for EGFR mutation-positive advanced NSCLC has an absolute economic advantage.
7.Expert Consensus on Clinical Application of Qidong Yixin Oral Liquid
Changkuan FU ; Xiaochang MA ; Mingjun ZHU ; Yue DENG ; Hongxu LIU ; Mingxue ZHANG ; Ying CHEN ; Yan ZHOU ; Ling ZHANG ; Jianhua FU ; Wei YANG ; Yu'er HU ; Ming CHEN ; Yanming XIE ; Yuanyuan LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(4):147-158
The prescription of Qidong Yixin oral liquid is derived from the experience of national medical master Ren Jixue in treating viral myocarditis (VMC). It has the functions of tonifying Qi, nourishing the heart,calming the mind, and relieving palpitations. It is used to treat VMC and angina pectoris of coronary heart disease caused by deficiency of both Qi and Yin. However,the understanding of its efficacy evidence, advantageous aspects, dosage and administration, and medication safety remains insufficient in clinical practice. Therefore,the development of the Expert Consensus on the Clinical Application of Qidong Yixin Oral Liquid (hereinafter referred to as consensus) was initiated. Consensus strictly followed the process and methods of the expert consensus on the clinical application of Chinese patent medicines of the China Association of Chinese Medicine,successively completing multiple tasks such as the consensus project initiation,determination of clinical problems,evidence search and evaluation,formation of recommendation opinions and consensus suggestions,solicitation of opinions,peer review, submission for review and release, and so on. Consensus formed a total of 10 recommendation opinions and 12 consensus suggestions,clarifying the clinical positioning,efficacy advantages,syndrome differentiation,dosage and administration,combination therapy,timing of medication,adverse reactions,contraindications, and precautions of Qidong Yixin oral liquid,indicating that it has good clinical advantages and safety in the treatment of VMC and angina pectoris of coronary heart disease,providing norms and references for physicians to safely and rationally apply Qidong Yixin oral liquid. Consensus was reviewed and approved for release by the Standardization Office of the China Association of Chinese Medicine on December 23, 2024. Standard number:GSCACM-376-2024.
8.Analysis of HPV Infection Characteristics and Influencing Factors for Lesion Grade in Patients with Cervical Squamous Intraepithelial Lesion and Cervical Cancer
Jingjing HAN ; Lijie ZHANG ; Ruyu CAI ; Haili LI ; He WANG ; Le DANG ; Hongda CHEN ; Ming'e LI ; Lan ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):156-165
To summarize the distribution characteristics of human papillomavirus(HPV) infection types in patients with cervical squamous intraepithelial lesion(SIL) and cervical cancer(CC), and to explore the impact of HPV vaccination, HPV infection types, and general clinical data on different grades of cervical lesions. Clinical data of women attending the gynecological colposcopy clinic of Shenzhen People's Hospital from January 2020 to December 2023 were retrospectively collected. Patients with HPV genotyping records and histopathologically diagnosed SIL or CC were included and divided into three groups based on pathological results: low-grade squamous intraepithelial lesion(LSIL) group, high-grade squamous intraepithelial lesion(HSIL) group, and CC group. The distribution of high-risk HPV subtypes was analyzed among the three groups, and multivariate Logistic regression was used to identify influencing factors for high-grade cervical lesions. A total of 4162 patients were included, comprising 4057 cervical SIL patients(3317 LSIL and 740 HSIL) and 105 CC patients. The overall mean age was(39.9±11.2) years. The HPV infection rate was 95.1%(3959/4162), and 25.0%(1040/4162) of patients had received HPV vaccination. Among high-risk HPV infections, HPV 52, HPV 16, HPV 58, and HPV 18 were the most common subtypes. HPV 52 had the highest infection rate in the LSIL group(27.6%), while HPV 16 was the most prevalent in the HSIL group(45.3%) and CC group(64.9%). Multivariate Logistic regression analysis showed that HPV vaccination( HPV infection is common in patients with SIL and CC, but the distribution of high-risk HPV subtypes varies among different grades of cervical lesions. It is recommended to strengthen cervical cancer screening and monitoring of key high-risk HPV infections in older and multiparous women in Shenzhen, and to continue promoting HPV vaccination.
9.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.
10.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.

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