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.Therapeutic Mechanisms of Xiebai San on Lung Heat-induced Cough and Asthma via Modulating Lung-Brain Axis Metabolism Based on Spatial Metabolomics
Yue XU ; Fuzhi MA ; Yeerjiang AYIMAN ; Lin ZHU ; Qingce ZANG ; Zhijie MA
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):41-48
ObjectiveBased on whole-animal mass spectrometry imaging technology, spatial metabolomics was used to characterize in situ the metabolic alteration patterns in the lungs and brain of a rat model of lung heat-induced cough and asthma, as well as after treatment with Xiebai San. MethodsNine Sprague-Dawley (SD) rats were randomly divided into a blank group (physiological saline), a model group (physiological saline), and a Xiebai San group (9 g·kg-1), with three rats in each group. The model group and the Xiebai San group were both induced using lipopolysaccharide-ovalbumin (LPS-OVA) to establish an asthma rat model. After treatment with Xiebai San, the animals were euthanized on day 21 and rapidly frozen in liquid nitrogen to preserve morphology. Whole-animal tissue sections were prepared using a cryomicrotome, and imaging was performed using the Air-flow-assisted Desorption Electrospray Ionization Mass Spectrometry Imaging (AFADESI-MSI) platform. Based on the corresponding optical images, ion data of metabolites from the lung and brain tissues of each group were extracted. Differential metabolites were analyzed using SIMCA and GraphPad Prism 9.0 software. Metabolites were identified using the HMDB (
3.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.
4.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.
5.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.
6.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.
7.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.
8.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.
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.Clinical Application of Harmonizing and Regulating Pivot Method in Pulmonary Fibrosis:Based on the Characteristics of Essence-Attribute-Function
Mingsheng LYU ; Hongsheng CUI ; Jia ZHU ; Weibo BI ; Ruifeng JIN ; Zhijie ZHANG ; Qiuyi CHEN ; Siyang YU
Journal of Traditional Chinese Medicine 2026;67(4):381-385
Based on the theory of "shaoyang(少阳) resembling the pivot" and collateral diseases, this article proposes that pulmonary fibrosis (PF) can be divided into three stages including wind bi (痹), constraint bi, and atrophy bi. The core pathogenesis of PF is the obstruction of the pivot and pulmonary collateral obstruction. In terms of treatment, the basic principles are to harmonize and regulate the pivot, and to promote the circulation of the lung collaterals. Depending on the different characteristics of the "essence-attribute-function", treatment methods such as harmonizing and regulating the pivot, resolving phlegm and removing stasis, supplementing deficiency and harmonizing collaterals are suggested. This approach ensures the regulation of the pivot, smooth circulation of qi and blood, unblocking of the lung collaterals and nourishing the lung body, achieving the goals of balancing the ascending and descending of qi, removing phlegm and stasis, and relieving cough and wheezing.

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