1.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.
2.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.
3.Association of vegetables and fruits intake with depressive symptoms in Yunnan multi ethnic first year junior high school students
CHEN Yiyao*, DU Yeming, YIN Wan, HUANG Jianhong, LIU Zihan, JIANG Yinghong, YU Qiaoying, PAN Lijuan, XU Honglü ;
Chinese Journal of School Health 2026;47(1):32-36
Objective:
To explore the association of vegetables and fruits intake with depressive symptoms among multi ethnic first year junior high school students in Yunnan Province, so as to provide data support for preventing and reducing depressive symptoms among first year junior high school students.
Methods:
From October to December 2022, a cluster random sampling method was used to select 8 500 first year junior high school students from 11 ethnic minority areas in Yunnan Province (Fugong County, Longling County, Longyang District, Luchun County, Mojiang County, Nanjian County, Qiaojia County, Shuangjiang County, Tengchong City, Yuanmou County, Zhenyuan County), to investigate with a questionnaire. The Dietary Frequency Questionnaire was used to collect dietary behavior datas, and the Chinese version of Depression Anxiety Stress Scale-21 (DASS-21) was used to assess depressive symptoms. The generalized linear model was used to analyze the association of vegetable and fruit intake with depressive symptoms in students, and stratified analysis was performed according to ethnicity.
Results:
The detection rate of depressive symptoms among first year junior high school students in Yunnan Province was 29.5%. The detection rates of depressive symptoms in Han and minority first year junior high school students were 26.9% and 31.6%. After controlling for demographic variables such as gender, age, family residence and other confounding factors, the generalized linear model analysis results showed that the intake of leafy vegetables ( β= -0.07 , 95%CI =-0.12 to -0.01), flat fruits ( β=-0.06, 95%CI =-0.12 to -0.00) and hot natured fruits ( β=0.11, 95%CI = 0.04- 0.17) were associated with depressive symptoms in Han first year junior high school students (all P <0.05). The intake of melon and fruit vegetables ( β=-0.06, 95%CI =-0.11 to -0.01) and hot natured fruits ( β=0.06, 95%CI =0.01-0.12) were associated with depressive symptoms in ethnic minority first year junior high school students (both P <0.05).
Conclusions
The intake of vegetables and fruits among multi ethnic first year junior high school students in Yunnan Province is related to the risk of depressive symptoms. It is suggested to strengthen the consumption guidance and education of vegetables and fruits to prevent depressive symptoms among first year junior high school students.
4.Construction and Validation of a Clinical Prediction Model for Inflammatory Remission Outcome of Bushen Zhiwang Decoction(补肾治尪汤)in the Treatment of Rheumatoid Arthritis with Liver and Kidney Deficiency Syndrome
Zihan WANG ; Xiaojing LIU ; Yanyu CHEN ; Tianyi LAN ; Huilan YANG ; Hongwei YU ; Qingwen TAO ; Yuan XU
Journal of Traditional Chinese Medicine 2026;67(5):523-533
ObjectiveTo construct and validate a clinical prediction model for inflammatory remission outcomes in rheumatoid arthritis (RA) patients with liver and kidney deficiency syndrome treated with Bushen Zhiwang Decoction (补肾治尪汤, BZD) based on metabolomics. MethodsA prospective cohort study was conducted, enrol-ling 60 RA patients with liver and kidney deficiency syndrome. All patients were treated with BZD and conventional-dose oral conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) for 12 months. Clinical data were collected, and the change in disease activity score in 28 joints (DAS28) after treatment compared with baseline (△DAS28) was used as the primary outcome and grouping criterion. Peripheral blood samples were collected before treatment to analyze plasma metabolites. Differential analysis and least absolute shrinkage and selection operator (LASSO) regression were used to preliminarily screen differential metabolites, followed by machine learning algorithms to further identify a core metabolite combination. Based on the expression levels of the core metabolite combination, a novel metabolite index, namely the metabolomics-based inflammatory remission score (Met-IRS), was calculated using standar-dized metabolite values, and its clinical applicability was evaluated. A clinical prediction model was constructed by integrating clinical characteristics and Met-IRS, and the model performance was assessed. ResultsAmong the 60 patients, those with △DAS28 ≥ 0.27 were assigned to the high inflammatory remission group, while those with △DAS28 < 0.27 were assigned to the low inflammatory remission group, with 30 cases in each group. Compared to the low inflammatory remission group, the high inflammatory remission group showed a higher frequency of methotrexate use and a lower positive rate of rheumatoid factor (RF) (P<0.05). Seven core metabolites were identified as the optimal combination, including mangiferic acid, fatty acid-hydroxy fatty acid ester 40∶6, fatty acid-hydroxy fatty acid ester 18∶0, fatty acid-hydroxy fatty acid ester 36∶1, glucosylceramide, lysophosphatidylcholine 22∶5, and pregnanetriol ketone. The calculated Met-IRS comprehensively reflected the characteristics of differential metabolites and demonstrated clinical applicability. Met-IRS was significantly higher in the high inflammatory remission group than in the low inflammatory remission group, and was positively correlated with high inflammatory remission outcomes (P<0.05). Based on the variables Met-IRS, methotrexate use, leflunomide use, and RF positivity, a clinical prediction model for inflammatory remission in RA treatment (Cj-RTRM) was constructed. Model performance evaluation demonstrated that the model had good clinical predictive ability, with an area under the receiver operating characteristic curve (AUC) of 0.880, sensitivity 0.967, specificity 0.700 and Youden's index 0.667. ConclusionThe clinical prediction model Cj-RTRM constructed based on the metabolomics-based inflammatory remission score Met-IRS can effectively predict clinical inflammatory remission outcomes in RA patients treated with BZD and accurately identify the advantageous population for this treatment. This model provides guiding evidence for dynamic inflammation monitoring, targeted management, and identification of populations with advantages in traditional Chinese medicine.
5.Modern Expanded Application of Ancient Classic Formulae from the Perspective of Syndrome‑Formula Ontology Reconstruction
Guibin WANG ; Sijie LIN ; Zihan LIU ; Bo PANG
Journal of Traditional Chinese Medicine 2026;67(12):1251-1257
As the core carrier of the inheritance and innovation of traditional Chinese medicine (TCM), the modern expanded application of classic formulae is an inevitable trend for TCM to adapt to the changes in disease spectrum and achieve academic development. However, several challenges remain, including the vague definition of syndrome-formula ontology between ancient and modern times, the insufficient adaptability of the evidence grading system, and the disconnection between theory and clinical practice, having severely restricted the precise application and standardized development of classic formulae. Based on the current status of the modern expanded application of classic formulae, and grounded in the core theory of formula-syndrome correspondence in TCM, this paper constructs a theoretical framework of "syndrome-formula ontology reconstruction". The framework systematically expounds its core connotations, theoretical foundations and practical logic, and further clarifies the reconstruction direction of the TCM-specific evidence grading system by taking correspondence between formula and syndrome as the core, constructing a multi-dimensional and integrated evaluation framework, and adhering to the orientation of clinical application. The ultimate goal is to form a theoretical paradigm characterized by "syndrome-formula ontology reconstruction-evidence grading reconstruction-precise clinical application", thereby providing theoretical support for the digital inheritance, evidence-based development, and modern application of classical prescriptions.
6.Analysis of the demands for pharmaceutical clinic service and influential factors based on Kano model
Han SHAN ; Xuan YE ; Zihan GUO ; Jing WU ; Jinwei HU ; Xiaopei TONG ; Yufei BIN ; Jiyong LIU ; Qiong DU ; Mengmeng WANG
China Pharmacy 2025;36(22):2850-2855
OBJECTIVE To explore the characteristics and influential factors of pharmaceutical clinic service demands, providing evidence for optimizing pharmaceutical service models and facilitating pharmaceutical service models of pharmacist role transformation. METHODS A cross-sectional survey design was adopted, and 410 outpatient participants were selected from Fudan University Shanghai Cancer Center through convenience sampling for questionnaire administration from February to May 2025. Kano model was applied to analyze the demand attributes of 25 pharmaceutical services, while questionnaires were used to assess patients’ awareness and demand status. Subgroup analyses were conducted based on key demographic variables such as gender, age, educational attainment, and economic burdens, to SACA- systematically examine the differences in Kano attribute classification among patients in each subgroup. RESULTS The awareness rate of pharmaceutical outpatient services among patients was only 14.63%, yet those who were aware demonstrated a significantly higher demand rate for such services compared to those who were unaware (P<0.001). The demand for pharmaceutical clinic services exhibited a hierarchical characteristic: twelve items were identified as attractive attributes (e. g., providing suggestions for more affordable treatment options, offering online consultation services, etc.), five items as expected attributes (e.g., having a good attitude and being able to patiently answer your questions, etc.), three items as must-have attributes (e.g., providing guidance on medication dosage and usage, providing guidance on medication precautions, etc.), five items as indifferent attributes (e.g., providing treatment plan recommendations based on the patient’s condition). There were zero items classified as reverse attribute. Subgroup analysis revealed that female patients showed greater concern for “neat and clean attire of medical staff” than male patients (P<0.001); patients under 60 years of age demonstrated stronger demand for “providing treatment plan recommendations based on patients’ conditions” compared to patients aged 60 or above (P=0.016); those with below high school education placed greater emphasis on “providing guidance on medication precautions” compared to those with a high school education or above (P=0.011); patients with lower economic burdens exhibited stronger preferences for “neat and clean attire of medical staff ” (P=0.002). CONCLUSIONS The public awareness rate of pharmaceutical clinic services is considerably low; however, those who are aware of such services demonstrate significantly higher demand. The medication safety-related services and convenience-oriented demands should be prioritized in the development of pharmaceutical clinics. Moreover, the study also revealed that factors such as gender, age, educational level, and economic burdens exert significant influences on patients’ service demands.
7.Proteomics-based Investigation of Therapeutic Effect and Mechanism of Verbenalin on Lung Injury in Mice Infected with Human Coronavirus-229E
Qiyue SUN ; Shanshan GUO ; Shuangrong GAO ; Lei BAO ; Zihan GENG ; Shuran LI ; Ronghua ZHAO ; Jingsheng ZHANG ; Xian LIU ; Rui XIE ; Xiaolan CUI ; Jing SUN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(24):69-78
ObjectiveTo evaluate the pharmacological effects of verbenalin on both in vitro and in vivo infection models of human coronavirus 229E (HCoV-229E) and to preliminarily explore the antiviral mechanism of verbenalin through proteomic analysis. MethodsIn vitro, the cell counting kit-8 (CCK-8) for cell proliferation and viability assessment was used to establish a model of HCoV-229E-induced injury in human lung adenocarcinoma cells(A549). A549 cells were divided into five groups: normal group, model group, and three verbenalin treatment groups (125, 62.5, and 31.25 μmol·L-1). The cell protective activity of verbenalin was evaluated through cell viability assay and immunofluorescence staining. In vivo, 30 BALB/c mice were randomly divided into normal group, model group, chloroquine group, and high-dose, low-dose verbenalin groups (40 and 20 mg·kg-1), with six mice per group. An HCoV-229E-induced mouse lung injury model was established to evaluate the therapeutic effects of verbenalin. Lung injury was assessed by detecting the lung index and lung inhibition rate. The severity of pulmonary inflammation cytokines was measured by enzyme-linked immunosorbent assay (ELISA), while the lung morphology and structure were analyzed by micro-computed tomography (Micro-CT). Hematoxylin and eosin (HE) staining was used to assess histopathological changes in lung tissue. Additionally, four-dimensional data-independent acquisition (4D-DIA) proteomics was employed to preliminarily explore the potential mechanisms of verbenalin in treating HCoV-229E-induced lung injury in mice, through differential protein expression screening, functional annotation, enrichment analysis, and protein-protein interaction network analysis. ResultsThe A549 cells were infected with HCoV-229E at the original viral titer for 36 hours to establish an in vitro infection model. The maximum non-toxic concentration of verbenalin was 125 μmol·L-1, and the half-maximal cytotoxic concentration (CC50) was 288.8 μmol·L-1. Compared with the normal group, the model group showed a significant decrease in cell viability (P<0.01), a significant increase in the proportion of dead cells (P<0.01), mitochondrial damage, and a significant reduction in mitochondrial membrane potential (P<0.01). After treatment with different concentrations of verbenalin (125, 62.5, and 31.25 μmol·L-1), cell viability was significantly increased (P<0.01), and the proportion of dead cells was reduced (P<0.01), with mitochondrial membrane potential restored (P<0.01). In vivo experiments further confirmed the therapeutic effect of verbenalin on HCoV-229E-infected mice. Compared to the normal group, the model group showed a significant increase in the lung index (P<0.01), severe lung tissue injury, lung volume enlargement, and a significant increase in the expression of inflammatory cytokines, including interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) (P<0.01). In contrast, in the verbenalin treatment groups, these pathological changes were significantly improved, with a reduction in the lung index (P<0.01), alleviation of lung tissue injury, reduced lung volume enlargement, and a significant decrease in inflammatory cytokine expression (P<0.01). Proteomics analysis revealed that, compared to the normal group, the model group showed enrichment in several antiviral immune-related signaling pathways, including the nuclear factor-κB (NF-κB) signaling pathway (P<0.05). Compared to the model group, the verbenalin treatment group showed enrichment in several signaling pathways related to inflammatory response and autophagy (P<0.05), suggesting that verbenalin may exert its antiviral and anti-inflammatory effects by regulating these pathways. ConclusionVerbenalin demonstrates significant therapeutic effects in both in vitro and in vivo HCoV-229E infection models, with its mechanism likely related to the NOD-like receptor protein 3 (NLRP3) inflammasome pathway and mitochondrial autophagy.
8.Screening and identification of a biocontrol strain CXG2-5 against kiwifruit bacterial canker and preparation of microcapsules.
Jing HUANG ; Ruolan YANG ; Xinying LIU ; Zihan ZHANG ; Nana WANG ; Lili HUANG
Chinese Journal of Biotechnology 2025;41(10):3734-3746
To develop biocontrol agents for the control of kiwifruit bacterial canker, we isolated a strain CXG2-5 with inhibitory activity against Pseudomonas syringae pv. actinidiae (Psa), the pathogen of kiwifruit bacterial canker, from the rhizosphere soil of kiwifruit by the plate confrontation test. The strain was identified by morphological observation, physiological and biochemical tests, and molecular biological methods. The indoor control efficacy of the strain was determined by the inoculation of the strain into detached branches with wounds and into leaf discs by vacuum infiltration. The ability of the strain to expand and colonize leaf veins was determined by fluorescent labeling and scanning electron microscopy. Subsequently, the strain was prepared into microcapsules, the field control efficacy of which was evaluated. The strain CXG2-5 was identified as Pseudomonas benzenivorans. It demonstrated good antagonistic activity against Psa, with an inhibition zone diameter of 22 mm and an inhibition rate of 72.7%. The preventive effects of the strain on kiwifruit bacterial canker were better than the therapeutic effects on both detached branches and leaves, with the preventive effects reaching 65% and 92.4%, respectively. The control effect of microcapsules of this strain in the field reached 60.89%, which was slightly lower than that of 20% kasugamycin and higher than that of Bacillus subtilis wettable powder. In conclusion, strain CXG2-5 serves as a candidate for the control of kiwifruit bacterial canker, and the prepared microcapsules have good value for development and application.
Actinidia/microbiology*
;
Plant Diseases/prevention & control*
;
Pseudomonas syringae
;
Pseudomonas/isolation & purification*
;
Capsules
;
Antibiosis
;
Biological Control Agents
;
Pest Control, Biological/methods*
9.Research progress of empagliflozin in the treatment of type 2 diabe-tes mellitus and cardiovascular and renal benefits
Zihan LIU ; Wenyu DU ; Caihui GUO ; Zhi WANG ; Ying LI ; Zhanjun DONG
Chinese Journal of Clinical Pharmacology and Therapeutics 2025;30(3):412-418
Type 2 diabetes mellitus(T2DM)is an insulin resistance disease.Improving insulin resis-tance and controlling blood glucose are the main means of clinical treatment for T2DM.Empa-gliflozin is a highly selective sodium-dependent glu-cose transporters(SGLT)2 inhibitor,which is inde-pendent of insulin.It can effectively control blood glucose levels,reduce blood pressure and body weight,protect heart and kidney function,reduce the rehospitalization rate and the risk of death in patients with heart failure(HF),and does not in-crease the risk of hypoglycemia.Empagliflozin can be used alone or in combination with other hypo-glycemic drugs to control blood glucose.This arti-cle reviews the mechanism of action,clinical bene-fits,and combination with other drugs of empa-gliflozin,aiming to provide reference for the clinical use of empagliflozin.
10.Dual activation of GCGR/GLP1R signaling ameliorates intestinal fibrosis via metabolic regulation of histone H3K9 lactylation in epithelial cells.
Han LIU ; Yujie HONG ; Hui CHEN ; Xianggui WANG ; Jiale DONG ; Xiaoqian LI ; Zihan SHI ; Qian ZHAO ; Longyuan ZHOU ; JiaXin WANG ; Qiuling ZENG ; Qinglin TANG ; Qi LIU ; Florian RIEDER ; Baili CHEN ; Minhu CHEN ; Rui WANG ; Yao ZHANG ; Ren MAO ; Xianxing JIANG
Acta Pharmaceutica Sinica B 2025;15(1):278-295
Intestinal fibrosis is a significant clinical challenge in inflammatory bowel diseases, but no effective anti-fibrotic therapy is currently available. Glucagon receptor (GCGR) and glucagon-like peptide 1 receptor (GLP1R) are both peptide hormone receptors involved in energy metabolism of epithelial cells. However, their role in intestinal fibrosis and the underlying mechanisms remain largely unexplored. Herein GCGR and GLP1R were found to be reduced in the stenotic ileum of patients with Crohn's disease as well as in the fibrotic colon of mice with chronic colitis. The downregulation of GCGR and GLP1R led to the accumulation of the metabolic byproduct lactate, resulting in histone H3K9 lactylation and exacerbated intestinal fibrosis through epithelial-to-mesenchymal transition (EMT). Dual activating GCGR and GLP1R by peptide 1907B reduced the H3K9 lactylation in epithelial cells and ameliorated intestinal fibrosis in vivo. We uncovered the role of GCGR/GLP1R in regulating EMT involved in intestinal fibrosis via histone lactylation. Simultaneously activating GCGR/GLP1R with the novel dual agonist peptide 1907B holds promise as a treatment strategy for alleviating intestinal fibrosis.


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