1.Effect of ergothioneine on tissue metabolism in middle-aged and aged mice
Haoran CHEN ; Fang WANG ; Yanni MA ; Jia YU ; Lin WANG
Basic & Clinical Medicine 2025;45(6):709-713
Objective To investigate the effect of ergothioneine(EGT)on tissue metabolism in middle-aged and aged mice.Methods Nine-month-old middle-aged and aged C57BL/6J mice were selected to be gavaged with EGT aqueous solution at the dose and frequency of 35 mg EGT per kg body weight every two days.The control group was gavaged with the same amount of water.Both groups were fed with EGT-free diet.After 7 weeks,the liver,kidney,and small intestine of mice were collected,and untargeted metabolomics analysis was performed using ultra-per-formance liquid chromatography-mass spectrometry(UHPLC-MS).The differential metabolites were selected for KEGG metabolic pathway enrichment analysis.Results Compared with the control group,the abundances of me-tabolites related to redox balance in liver,kidney and small intestine of middle-aged and aged mice treated with EGT did not change significantly.However,taurine and hypotaurine metabolism in liver(P<0.01),purine metabo-lism in kidney(P<0.01),and cysteine and methionine metabolism in small intestine(P<0.001)were affected.Conclusions Non-redox-related metabolic changes in the liver,kidney and small intestine of middle-aged and aged mice by ergothioheine.
2.Identification and drug sensitivity analysis of key molecular markers in mesenchymal cell-derived osteosarcoma
Haojun ZHANG ; Hongyi LI ; Hui ZHANG ; Haoran CHEN ; Lizhong ZHANG ; Jie GENG ; Chuandong HOU ; Qi YU ; Peifeng HE ; Jinpeng JIA ; Xuechun LU
Chinese Journal of Tissue Engineering Research 2025;29(7):1448-1456
BACKGROUND:Osteosarcoma has a complex pathogenesis and a poor prognosis.While advancements in medical technology have led to some improvements in the 5-year survival rate,substantial progress in its treatment has not yet been achieved. OBJECTIVE:To screen key molecular markers in osteosarcoma,analyze their relationship with osteosarcoma treatment drugs,and explore the potential disease mechanisms of osteosarcoma at the molecular level. METHODS:GSE99671 and GSE284259(miRNA)datasets were obtained from the Gene Expression Omnibus database.Differential gene expression analysis and Weighted Gene Co-expression Network Analysis(WGCNA)on GSE99671 were performed.Functional enrichment analysis was conducted using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes separately for the differentially expressed genes and the module genes with the highest positive correlation to the disease.The intersection of these module genes and differentially expressed genes was taken as key genes.A Protein-Protein Interaction network was constructed,and correlation analysis on the key genes was performed using CytoScape software,and hub genes were identified.Hub genes were externally validated using the GSE28425 dataset and text validation was conducted.The drug sensitivity of hub genes was analyzed using the CellMiner database,with a threshold of absolute value of correlation coefficient|R|>0.3 and P<0.05. RESULTS AND CONCLUSION:(1)Differential gene expression analysis identified 529 differentially expressed genes,comprising 177 upregulated and 352 downregulated genes.WGCNA analysis yielded a total of 592 genes with the highest correlation to osteosarcoma.(2)Gene Ontology enrichment results indicated that the development of osteosarcoma may be associated with extracellular matrix,bone cell differentiation and development,human immune regulation,and collagen synthesis and degradation.Kyoto Encyclopedia of Genes and Genomes enrichment results showed the involvement of pathways such as PI3K-Akt signaling pathway,focal adhesion signaling pathway,and immune response in the onset of osteosarcoma.(3)The intersection analysis revealed a total of 59 key genes.Through Protein-Protein Interaction network analysis,8 hub genes were selected,which were LUM,PLOD1,PLOD2,MMP14,COL11A1,THBS2,LEPRE1,and TGFB1,all of which were upregulated.(4)External validation revealed significantly downregulated miRNAs that regulate the hub genes,with hsa-miR-144-3p and hsa-miR-150-5p showing the most significant downregulation.Text validation results demonstrated that the expression of hub genes was consistent with previous research.(5)Drug sensitivity analysis indicated a negative correlation between the activity of methotrexate,6-mercaptopurine,and pazopanib with the mRNA expression of PLOD1,PLOD2,and MMP14.Moreover,zoledronic acid and lapatinib showed a positive correlation with the mRNA expression of PLOD1,LUM,MMP14,PLOD2,and TGFB1.This suggests that zoledronic acid and lapatinib may be potential therapeutic drugs for osteosarcoma,but further validation is required through additional basic experiments and clinical studies.
3.Clinical Phenotype Identification and Validation of Patients with Sepsis in the Intensive Care Unit
Chao GONG ; Na YU ; Haoran CHEN
Medical Journal of Peking Union Medical College Hospital 2025;16(3):710-721
To identify and validate the clinical phenotypes of patients with sepsis in the intensive care unit(ICU). We applied unsupervised machine learning algorithms (K-means clusteringand hierarchical clustering) to identify the phenotypes of sepsis patients in the Medical Information Mart for Intensive Care Ⅳ (MIMIC-Ⅳ) 2.2 database, based on 89 clinical features including demographic characteristics, laboratory indicators and treatment measures on the first day in ICU. Then, supervised machine learning algorithms (lightweight gradient boosting machine) were used for the prediction of the patient's phenotypes, and were further combined with SHAP (Shapely Additive eXplanations) for the identification of important features. Finally, traditional statistical methods were used to validate the differences in clinical characteristics and clinical outcomes among the phenotypes. We identified three phenotypes in 22 517 sepsis patients. The phenotype 1 patients had the highest risk of death (28-day mortality of 46.4%), dominated by abnormal renal function and elevated disease severity scores, while the phenotype 3 patients had the lowest risk of death (28-day mortality of 11.2%), and the best neurological function score. Using interpretable machine learning, we identified six features (all the worst value on the first day) that showed good performance in phenotypic identification(AUC≥0.89) and phenotypic prognostic prediction (AUC≥0.74): anion gap, blood urea nitrogen, creatinine, Glasgow Coma Scale score, prothrombin time, and Sequential Organ Failure Assessment score. The mortality risk of phenotype 3 patients was the lowest at 28 days, 60 days, 90 days, and 1 year after ICU discharge ( Using machine learning methods, we successfully identified three clinical phenotypes of sepsis patients with different clinical characteristics and prognosis and screened out six key clinical features, which are expected to play an important role in the phenotype classification and prognostic assessment of sepsis and are conducive to individualized treatment.
4.A Geant4-based research on radiation field distribution in a 9 MeV e-FLASH treatment room
Deqi CHENG ; Qin YANG ; Xufan HUANG ; Peng WU ; Haoran XIE ; Jing XIA ; Erfeng WANG ; Guofu YU ; Yu JIANG ; Xianhong LIU
Chinese Journal of Radiological Medicine and Protection 2025;45(11):1152-1156
Objective:To investigate the radiation field distribution characteristics in a 9 MeV electron FLASH (e-FLASH) linear accelerator treatment room.Methods:The Geant4 Monte Carlo program was employed for physical simulating of the radiation field distribution inside and outside the treatment room under a single-beam delivery condition with a total dose of 50 Gy at the reference point and a dose rate of 250 Gy/s. High-sensitivity radiation detectors (AT1123) were used to validate the measurements at key points.Results:The dose rate at the reference point was approximately 9×10 11 μSv/h. Due to the scattering and shielding effects, the deviation of the attenuation rate from the inverse-square law was observed and the isodose lines exhibited spatial drift. Measured dose rates at key points showed good agreement with the simulation result, with a maximum deviation within 30%. Conclusions:The complex radiation field distribution can be effectively simulated using Geant4 in an e-FLASH treatment room. This indicated the Geant4 is not only applicable for the shielding calculations in e-FLASH radiotherapy facilities, but also for the design optimization through, reduction of trial-and-error iterations and engineering costs.
5.Preparation of pH/NIR dual-responsive metal-organic framework com-posite nanoparticles co-loaded with indocyanine green and siSphK1 and its in vitro anti-non-small-cell lung cancer study
Bingjie LÜ ; Xiaohong YAN ; Fei YU ; Haoran HU ; Lulu WANG ; Yang YANG
Chinese Journal of Pathophysiology 2025;41(8):1550-1558
AIM:This study aims to design pH/near-infrared(NIR)dual-responsive metal-organic framework composite nanoparticles co-loaded with indocyanine green(ICG)and sphingosine kinase 1(SphK1)siRNA(siSphK1),and to evaluate their anticancer efficacy against non-small-cell lung cancer A549 cells.METHODS:The ZIF-8 nanopar-ticles were synthesized and loaded with ICG and siSphK1 to prepare ZIF-8@ICG@siSphK1 nanoparticles.Their morpholo-gy,particle size,surface charge,and crystalline structure were characterized through transmission electron microscopy,dynamic light scattering,and X-ray diffraction.Stability,siSphK1 encapsulation and protection,and pH/NIR response were assessed.The gene silencing efficacy and anticancer activity in A549 cells were evaluated using Western blot,RT-qPCR,MTT assay,flow cytometry,and reactive oxygen species(ROS)fluorescence staining.RESULTS:The ZIF-8@ICG@siSphK1 nanoparticles exhibited a typical polyhedral structure with an average particle size of(76.8±0.9)nm and a ζ potential of(9.2±0.1)mV.The nanoparticles effectively encapsulated siSphK1,protecting it from RNase degra-dation,and demonstrated excellent NIR responsiveness with a photothermal conversion efficiency of 39.7%.After 10 h of 808 nm laser irradiation,siRNA cumulative release was significantly higher at pH 5.5 compared with pH 7.4.In A549 cells,the nanoparticles efficiently delivered siSphK1 under NIR irradiation,significantly down-regulated SphK1 gene ex-pression,inhibited cell proliferation,induced apoptosis,and increased intracellular ROS levels.CONCLUSION:The ZIF-8@ICG@siSphK1 nanoparticles effectively induce cytotoxic effects against A549 cells through gene silencing and pho-tothermal therapy.
6.Research advances in the impact of tacrolimus on glucose metabolism after kidney transplantation
Haoran SHI ; Shanda LI ; Kun WANG ; Yuxiang CHEN ; Zhuocheng LI ; Yu ZHANG ; Xuyuan ZHU ; Liang GAO ; Hongtao JIANG
Organ Transplantation 2025;16(5):778-784
Kidney transplantation is an effective treatment for end-stage renal disease.However,post transplantation diabetes mellitus(PTDM)is a common complication after kidney transplantation,affecting 10%to 40%of recipients and increasing the risk of cardiovascular disease,infections,sepsis and other conditions.The pathogenesis of PTDM is complex,including pancreatic β-cell dysfunction and insulin resistance.Tacrolimus,a commonly used immunosuppressive drug,is an independent risk factor for PTDM.Its mechanisms include damaging pancreatic β-cells,mediating impaired mitochondrial autophagy,etc.In addition,tacrolimus also raises blood glucose levels through various pathways,such as affecting gut microbiota metabolism and activating bile acid signaling pathways.In recent years,some new anti-diabetic drugs have shown certain application prospects in kidney transplant recipients,but the evidence-based medical evidence for their combined use still needs further exploration.In the future,it is necessary to conduct in-depth research on the multiple sites of action of tacrolimus to reduce the occurrence of PTDM and improve the prognosis of kidney transplant recipients.
7.Programmed death-ligand 1 tumor proportion score in predicting the safety and efficacy of PD-1/PD-L1 antibody-based therapy in patients with advanced non-small cell lung cancer: A retrospective, multicenter, observational study.
Yuequan SHI ; Xiaoyan LIU ; Anwen LIU ; Jian FANG ; Qingwei MENG ; Cuimin DING ; Bin AI ; Yangchun GU ; Cuiying ZHANG ; Chengzhi ZHOU ; Yan WANG ; Yongjie SHUI ; Siyuan YU ; Dongming ZHANG ; Jia LIU ; Haoran ZHANG ; Qing ZHOU ; Xiaoxing GAO ; Minjiang CHEN ; Jing ZHAO ; Wei ZHONG ; Yan XU ; Mengzhao WANG
Chinese Medical Journal 2025;138(14):1730-1740
BACKGROUND:
This study aimed to investigate programmed death-ligand 1 tumor proportion score in predicting the safety and efficacy of PD-1/PD-L1 antibody-based therapy in treating patients with advanced non-small cell lung cancer (NSCLC) in a real-world setting.
METHODS:
This retrospective, multicenter, observational study enrolled adult patients who received PD-1/PD-L1 antibody-based therapy in China and met the following criteria: (1) had pathologically confirmed, unresectable stage III-IV NSCLC; (2) had a baseline PD-L1 tumor proportion score (TPS); and (3) had confirmed efficacy evaluation results after PD-1/PD-L1 treatment. Logistic regression, Kaplan-Meier analysis, and Cox regression were used to assess the progression-free survival (PFS), overall survival (OS), and immune-related adverse events (irAEs) as appropriate.
RESULTS:
A total of 409 patients, 65.0% ( n = 266) with a positive PD-L1 TPS (≥1%) and 32.8% ( n = 134) with PD-L1 TPS ≥50%, were included in this study. Cox regression confirmed that patients with a PD-L1 TPS ≥1% had significantly improved PFS (hazard ratio [HR] 0.747, 95% confidence interval [CI] 0.573-0.975, P = 0.032). A total of 160 (39.1%) patients experienced 206 irAEs, and 27 (6.6%) patients experienced 31 grade 3-5 irAEs. The organs most frequently associated with irAEs were the skin (52/409, 12.7%), thyroid (40/409, 9.8%), and lung (34/409, 8.3%). Multivariate logistic regression revealed that a PD-L1 TPS ≥1% (odds ratio [OR] 1.713, 95% CI 1.054-2.784, P = 0.030) was an independent risk factor for irAEs. Other risk factors for irAEs included pretreatment absolute lymphocyte count >2.5 × 10 9 /L (OR 3.772, 95% CI 1.377-10.329, P = 0.010) and pretreatment absolute eosinophil count >0.2 × 10 9 /L (OR 2.006, 95% CI 1.219-3.302, P = 0.006). Moreover, patients who developed irAEs demonstrated improved PFS (13.7 months vs. 8.4 months, P <0.001) and OS (28.0 months vs. 18.0 months, P = 0.007) compared with patients without irAEs.
CONCLUSIONS
A positive PD-L1 TPS (≥1%) was associated with improved PFS and an increased risk of irAEs in a real-world setting. The onset of irAEs was associated with improved PFS and OS in patients with advanced NSCLC receiving PD-1/PD-L1-based therapy.
Humans
;
Carcinoma, Non-Small-Cell Lung/metabolism*
;
Male
;
Female
;
Retrospective Studies
;
Middle Aged
;
Lung Neoplasms/metabolism*
;
Aged
;
B7-H1 Antigen/metabolism*
;
Programmed Cell Death 1 Receptor/metabolism*
;
Adult
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Aged, 80 and over
;
Immune Checkpoint Inhibitors/therapeutic use*
8.Tranexamic acid-fatty alcohol polyoxyethylene ether conjugation/PVA foam for venous sclerotherapy via vascular damage and inhibiting plasmin system.
Jizhuang MA ; Keda ZHANG ; Wenhan LI ; Yu DING ; Yongfeng CHEN ; Xiaoyu HUANG ; Tong YU ; Di SONG ; Haoran NIU ; Huichao XIE ; Tianzhi YANG ; Xiaoyun ZHAO ; Xinggang YANG ; Pingtian DING
Acta Pharmaceutica Sinica B 2025;15(6):3291-3304
Venous system diseases mainly include varicose veins and venous malformations of lower limbs and the genital system. Most of them are chronic diseases that cause serious clinical symptoms to patients and affect their health and quality of life. Sclerotherapy has become the first-line therapy for venous system diseases. However, there are problems such as incomplete fibrosis and vascular recanalization after sclerotherapy, and improper operation will cause serious adverse consequences. Therefore, exploring a safe and effective sclerotherapy strategy is essential for developing clinically successful sclerotherapy. To solve the above problems, we proposed a new sclerotherapy strategy with a dual mechanism of "vascular damage and plasmin (PLA) system inhibition." We intended to construct a novel cationic surfactant (AEOx-TA) by reacting tranexamic acid (TA), a parent structure, with fatty alcohol polyoxyethylene ether (AEOx) by ester bonds. AEOx-TA could damage vascular endothelium and initiate a coagulation cascade effect to induce thrombus. Furthermore, AEOx-TA could be degraded by esterase and release the parent drug, TA, which could inhibit the PLA system to inhibit the degradation of thrombus and extracellular matrix and promote the process of vascular fibrosis. In addition, such surfactant-based sclerosants have foam-forming properties, and they can be blended with polyvinyl alcohol (PVA) to prepare a highly stable foam formulation (AEOx-TA/P), which can achieve a precise drug delivery and prolonged drug retention time, thereby improving drug efficacy and reducing the risk of ectopic embolism. Overall, the novel cationic surfactant AEOx-TA provides a new avenue to resolve the bottleneck: surfactant sclerosants' efficiency is relatively low in the current sclerotherapy.
9.Construction of a machine learning model based on the Ki67 positive index to predict the recurrence risk of hepatocellular carcinoma
Haoran LI ; Yan YU ; Fangying FAN ; Wenzhen DING ; Hui FENG ; Minghua YING ; Jiawei LI ; Qingqing SUN ; Lele BIAN ; Haokai XU ; Zhanyue CHEN ; Jie YU ; Ping LIANG
Chinese Journal of Hepatology 2025;33(9):898-909
Objective:To screen the optimal machine learning model for predicting the recurrence condition of hepatocellular carcinoma (HCC) at different time points post-surgery, based on the cutoff value of the Ki67 positive proliferation index condition calculated from recurrence-free survival and combined with various clinical features.Methods:retrospective study included initially treated patients with solitary HCC who underwent radical surgery at the Fifth Medical Center of the PLA General Hospital from January 2013 to March 2023. Data included general clinical data, preoperative laboratory parameters, and surgical pathology information about the subjects. The postoperative recurrence status was assessed by querying the medical record system or by telephone follow-up. The Ki67 positive index cutoff value was determined by the X-tile software based on the patient's recurrence-free survival status and time analysis. Survival rates were calculated using the Kaplan-Meier method, and survival curves were plotted. The study population was randomly divided into training and testing groups in a 7:3 ratio using a computer-generated random number method. The minimum redundancy maximum relevance (mRMR) method was used for feature variable selection. Predictive models for postoperative HCC recurrence conditions in patients with HCC were constructed using random forest, support vector machine, logistic regression, and gradient boosting decision tree machine learning algorithms. Inter-group comparisons for continuous data were performed using the t-test or Mann-Whitney U test. Inter-group comparisons of enumeration data were performed using the Pearson χ2 test, continuity-corrected χ2 test, or Fisher's exact test. Results:The cutoff values for the Ki67 positivity index were 0.3 and 0.5 in 510 cases, with a follow-up time ranging from 1.2 to 11.4 years (median: 6.2 years). The recurrence-free survival time was between 1 and 135 months (median: 32 months), with recurrence-free survival rates post-surgery at 1, 2, 3, and 5 years were 87.5%, 77.1%, 61.2%, and 54.5%, respectively. The top five variables predicted HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years, in accordance with information obtained by the mRMR screen out. The Ki67 positivity index screened a successfully constructed machine learning model to predict HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years. The machine learning model based on the gradient boosting decision tree algorithm had the best prediction performance among them (areas under the receiver operating characteristic curves for predicting HCC recurrence within six months in the training and validation sets were 0.996 and 0.946, and accuracies were 0.972 and 0.935, respectively).Conclusion:A machine learning model was successfully constructed using the Ki67 positivity index combined with four readily available clinical features to predict HCC recurrence. The machine learning model based on the gradient boosting decision tree algorithm demonstrated the best performance in terms of predicting HCC recurrence within six months after surgery.
10.Comparison of the quality of bowel preparation for colonoscopy between 2.0 L and 1.5 L polyethylene glycol under optimized dietary restrictions: a multicenter randomized controlled study
Peng PAN ; Yuping WANG ; Junyan GAO ; Xiaofei LI ; Danian JI ; Haoran LI ; Yu BAI
Chinese Journal of Digestive Endoscopy 2025;42(8):634-638
Objective:To compare bowel preparation quality between 2.0 L and 1.5 L polyethylene glycol (PEG) regimens with optimized dietary restrictions.Methods:This study was a randomized controlled trial conducted in three hospitals: the First Affiliated Hospital of Naval Medical University ( n=57), Huadong Hospital Affiliated to Fudan University ( n=30), and General Hospital of Northern Theater Command ( n=30) from May 5th to 30th, 2024. Participants consumed food for special medical purpose one day before examination or therapeutic colonoscopy and were randomized to receive either 2.0 L PEG (group A) or 1.5 L PEG (group B). Outcomes included the completion rate of bowel preparation, the adequate/excellent bowel preparation rate, Boston bowel preparation scale scores, the subject/endoscopist satisfaction, the willingness to repeat the preparation regimen, and incidence of adverse events. Results:A total of 60 subjects in group A and 57 in group B were included. There was no significant difference in baseline characteristics between the two groups ( P>0.05). The adequate bowel preparation rate [81.7% (49/60) VS 64.9% (37/57), χ2=4.21, P=0.040] and endoscopist satisfaction [88.3% (53/60) VS 70.2% (40/57), χ2=5.91, P=0.015] in group A were significantly higher than those in group B. There were no significant differences in bowel preparation completion rates, the excellent bowel preparation rate, the bowel preparation score, subject satisfaction, willingness to repeat the preparation regimen, or incidence of adverse events ( P>0.05). Conclusion:When combined with optimized dietary restrictions, 2.0 L PEG provides superior bowel preparation quality compared with 1.5 L PEG.

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