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.Effects of Zuogui Pill (左归丸) Decoction on Cerebral Perfusion and Corticospinal Tract Remodeling in Patients With Ischemic Stroke of the Liver-Kidney Yin Deficiency Syndrome
Xinyu XU ; Dan WU ; Xiaohui YAN ; Hao HUA ; Siqi MEI ; Zihan ZHOU ; Jinglin ZHAO ; Shiyu HE ; Xiaoyu FEI ; Yangfan LIU ; Yue SU ; Li LI ; Wenlei LI
Journal of Traditional Chinese Medicine 2026;67(21):2302-2310
ObjectiveTo evaluate the clinical efficacy of Zuogui Pill (左归丸,ZGP) decoction on neurological function, motor function, and activities of daily living in patients with ischemic stroke (IS) of liver-kidney yin deficiency syndrome, and to assess its potential mechanisms from the perspectives of cerebral perfusion and corticospinal tract (CST) remodeling. MethodsA total of 108 patients with IS of liver-kidney yin deficiency syndrome and onset time ≤14 days were enrolled and randomly divided into a control group and a treatment group, with 54 cases in each group. The control group received conventional western medicine, while the treatment group received ZGP decoction (one dose per day) in addition to the conventional treatment. Both groups were treated for 90 days. The National Institutes of Health Stroke Scale (NIHSS), modified Rankin Scale (mRS), modified Barthel Index (MBI), Fugl-Meyer Assessment (FMA), and Chinese medicine syndrome score (CMS) were evaluated before treatment and after (90±3) days of treatment. Three-dimensional arterial spin labeling (3D-ASL) and diffusion tensor imaging (DTI) were performed to obtain ipsilesional cerebral blood flow (CBF) in the unaffected and affected hemispheres, relative CBF (rCBF), and fractional anisotropy (FA) of the CST. Nodal analysis of FA values along the CST was also conducted. Correlation analysis was used to assess the relationships between post-treatment cerebral perfusion parameters (CBF and rCBF), and FA values with clinical neurological function scores. ResultsAfter treatment, both groups showed significantly decreased NIHSS, mRS and CMS scores, together with significantly increased FMA and MBI scores (P<0.01). Intergroup comparison showed that NIHSS, mRS, and CMS scores in the treatment group were significantly lower than those in the control group , while MBI and FMA scores were significantly higher (P<0.01). The 3D-ASL results revealed that CBF and rCBF values in the affected hemisphere significantly increased in both groups after treatment, and the treatment group had significantly higher values (P<0.01). DTI showed that the FA value of the CST on the affected side in the treatment group was significantly higher than that in the control group after treatment (P<0.05). Nodal analysis along the CST further demonstrated that the continuity of FA values at lesion-related nodes 45~99 in the treatment group was significantly better than that in the control group (P<0.01), with significant increases at nodes 65~71 and 76~81 compared with baseline (P<0.05 or P<0.01), whereas the control group showed a decreasing trend at nodes 80~93 (P<0.05). Correlation analysis indicated that CBF and rCBF values in the affected hemisphere were negatively correlated with NIHSS and mRS scores and positively correlated with MBI score (P<0.05). FA value of the CST on the affected side, both before and after treatment, were negatively correlated with NIHSS score and positively correlated with FMA score (P<0.05 or P<0.01). ConclusionZGP decoction can effectively improve neurological function, motor function, and activities of daily living in IS patients with liver-kidney yin deficiency syndrome, and its mechanism may be related to enhanced cerebral perfusion in the affected hemisphere and corticospinal tract structural remodeling.
7.Technical key points and vital improvements of single-port robotic prepectoral breast reconstruction
Jun LIU ; Zihan WANG ; Guangqian SHEN ; Mengxin LI ; Hongchuan JIANG
International Journal of Surgery 2025;52(6):370-375
Objective:To explore the technical key points and vital improvements of single-port robotic prepectoral breast reconstruction.Methods:A retrospective analysis was conducted on the case data of 10 patients with breast cancer who underwent single-port robotic prepectoral breast reconstruction performed in the Department of Breast Surgery, Beijing Chao-Yang Hospital, Capital Medical University from January to March 2025. Technical key points and vital improvements were summarized.Results:All 10 patients underwent surgery using the da Vinci Xi system. During the postoperative follow-up period of (3±1) months, no cases of flap or nipple-areola complex necrosis occurred, with no instances of implant loss. The patients experienced neither severe perioperative nor late postoperative complications, and all were satisfied with the aesthetic outcomes. In single-port robotic prepectoral breast reconstruction, several technical modifications were implemented, including posterior space liposuction, electrocautery-assisted flap dissection, and single-port Trocar connection to robotic arms. These refinements enabled clear intraoperative visualization of the circummammary ligaments, allowing for breast reconstruction to be completed within the fascial anatomical planes.Conclusion:The single-port robotic prepectoral breast reconstruction, achieved through technical refinements including posterior space liposuction, electrocautery-assisted flap dissection, and single-port Trocar connection to robotic arms, demonstrates excellent procedural feasibility and is expected to enable precise glandular resection while achieving favorable breast contour outcomes.
8.Screening and validation of chemoresistance marker in lung adenocarcinoma based on gene expression profile
Handong Wei ; Shuxing Chen ; Linting Liu ; Zihan Jing ; Yiting Yang ; Qiong Song ; Wenchu Wang ; Chunlin Zou ; Lihui Wang
Acta Universitatis Medicinalis Anhui 2025;60(10):1818-1827
Objective:
To discover molecular markers associated with lung adenocarcinoma diagnosis/prognosis and drug resistance through screening of differentially expressed genes based on published chip data in gene expression databases using bioinformatics methods.
Methods:
Comprehensive analysis was performed in available mRNA microarray datasets including lung adenocarcinoma tissues dataset GSE32863 and lung adenocarcinoma taxane-platin resistance dataset GSE77209 from the gene expression omnibus(GEO) database. Gene ontology enrichment analysis, gene pathway enrichment analysis and protein interaction network analysis were performed based on significantly correlated genes. The expression level of genes was validated in the cancer genome atlas(TCGA) dataset. Survival differences were assessed by the log-rank test in TCGA lung adenocarcinoma dataset. Based on the publications genomics of drug sensitivity in cancer(GDSC) database in CellMiner cross database(CellMiner CDB), Pearson correlation analysis was used to analyze the correlation between differentially expressed genes and the half-maximal inhibitory concentration(IC50) of anticancer drugs.
Results :
There were a total of 77 genes which had a different expression in resistance lung adenocarcinoma cells and lung adenocarcinoma cancer tissues. The functional enrichment analysis showed that these co-different expression genes were mainly enriched in microtubule, extracellular exosome, cell cycle and signaling by nuclear receptors. Protein-protein interactions(PPI) network screened 6 most connected genes as molecular complex(MCODE). Among the MCODE, overexpressed ubiquitin conjugating enzyme E2 T(UBE2T), kinesin family member 20A(KIF20A), PCNA clamp associated factor(KIAA0101), pituitary tumor-transforming gene 1(PTTG1) and NIMA related kinase 2(NEK2) were associated with poor outcomes. Survival analysis results showed that these five genes were upregulated in lung adenocarcinoma tissues and drug-resistant cells and were significantly associated with poor prognosis in lung adenocarcinoma patients. Drug sensitivity analysis results suggested that high expression of PTTG1 and UBE2T was significantly associated with sensitivity to multiple anticancer drugs, including paclitaxel and docetaxel. RT-PCR validation showed that PTTG1 andUBE2T were highly expressed in docetaxel-resistant cells A549-TXR and H358-TXR.
Conclusion
PTTG1 andUBE2T holds the potential to be chemoresistance markers in lung adenocarcinoma.
9.Effects of LSS function deficiency on intestinal function in NAFLD model mice
Hongmei Bai ; Zhen Yang ; Weikang Hu ; Zihan Wang ; Wenjing Zhou ; Qingya He ; Jian Zhong ; Mingcong Li ; Li Liu ; Chaoyang Zhang ; Sumei Zhang ; Shengquan Zhang
Acta Universitatis Medicinalis Anhui 2025;60(9):1653-1660
Objective:
To investigate the effect of loss of function of lanosterol synthase( LSS) gene on intestinal function in a mouse model of non-alcoholic fatty liver disease( NAFLD) induced by a high-fat diet.
Methods:
LSS gene heterozygous knockout C57 mice ( LSS + / -) were established using the CRISRP / Cas9 system.After being fed a high-fat diet with 60% fat content for 6 months,the fat deposition in liver tissues was detected by HE and Oil red O staining,the morphological changes of small intestine tissue were detected by HE staining.The changes in total cholesterol content in intestinal tissue were detected by kits.The gastrointestinal motility function of mice was detected by phenol red paste.The intestinal permeability was detected by Evans blue staining,and the expression of LSS,tight junction protein ( Claudin) -1,Claudin-5,cluster of differentiation 36 ( CD36) ,and Niemann-Pick type C1-like 1 protein ( NPC1L1) proteins in small intestinal tissues were detected by Western blot.
Results :
The results of HE and Oil red O staining of liver tissues showed that liver fat deposition in LSS gene heterozygous knockout mice was lower than that in wild-type mice in the high-fat diet group.The total cholesterol content in intestinal tis- sue of LSS gene heterozygous knockout mice decreased ( P <0. 01) ,but no morphological differences were ob- served between the two groups of mice by HE staining of intestinal tissues.The gastrointestinal motility function of LSS gene heterozygous knockout mice did not show significant changes.The intestinal permeability of LSS gene het- erozygous knockout mice in the high-fat diet group decreased as detected by Evans blue ( P<0. 05) .The expres- sion levels of Claudin-5 protein in the intestinal tissue of LSS gene heterozygous knockout mice in the high-fat diet group increased ( P <0. 05 ) ,while the expression of LSS protein in the intestinal tissues of LSS heterozygous knockout mice decreased ( P <0. 05) .
Conclusion
In the NAFLD model induced by a high-fat diet,LSS gene heterozygous knockout reduces liver fat deposition induced by a high-fat diet and improves intestinal barrier function by regulating cholesterol metabolism in intestinal tissues and up-regulating the expression of Claudin-5.
10.Research on Service Mode of Public Hospital Operation Assistant Working Team Based on S-MDT
Zihan MU ; Zhiping GUO ; Yuxiu TAO ; Leichao WANG ; Xueqing YU ; Zixu GUO ; Han LIU ; Yaojun ZHAO
Chinese Hospital Management 2025;45(3):32-35
The operation assistant work team of public hospitals is an important bridge and link to realize the integration of industry and finance,and an important practitioner to promote the realization of lean operation management.It examines the service model of the operation assistant team engaged in Similar Multi-disciplinary Treatment,focusing on organizational structure,job responsibilities,and service mechanisms.Build a four-tiered lean operational management system and set up an operation assistant work team that combines production,university and research.Based on specific management matters,establish an operation assistant service mechanism such as problem assessment and classification management mechanism,project standardization management mechanism,reward and punishment assessment mechanism,etc.,to promote the optimization and integration of hospital medical education,research,prevention and management and core elements such as human,talent,material and technology resources.Help public hospitals to continuously improve their lean operation management level.


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