1.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 (
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.Obstructive sleep apnea-hypopnea syndrome: risk of complicated coronary heart disease and construction of its prediction model
Yumeng LIU ; Yue LIN ; Wenjun HAN ; Tingting ZHOU ; Qihong XU ; Jinxing ZHU
Journal of Public Health and Preventive Medicine 2026;37(4):114-118
Objective To explore the independent risk factors for complicated coronary heart disease (CHD) in patients with obstructive sleep apnea-hypopnea syndrome (OSAHS) and to construct a risk prediction model. Methods A retrospective study was performed to analyze the clinical data of 308 OSAHS patients who visited Jiangsu Provincial People's Hospital from January 2021 to June 2025. The patients were divided into the CHD group (n=80) and non-CHD group (n=228) according to the presence or absence of complicated CHD. Independent risk factors were identified using univariate analysis and multivariate logistic regression, and a nomogram prediction model was constructed. The model was evaluated using the calibration curve, Hosmer-Lemeshow test, Decision Curve Analysis (DCA) curve, and Receiver Operating Characteristic (ROC) curve. Results The incidence of CHD in OSAHS patients was 25.97%. Age, history of hypertension, oxygen desaturation index (ODI), severe polysomnography (PSG) grade, decreased high-density lipoprotein cholesterol, elevated homocysteine, and elevated troponin I were independent risk factors for OSAHS complicated with CHD (P<0.05). The nomogram model demonstrated good calibration (Hosmer-Lemeshow test, P=0.995), and the DCA curve showed high clinical net benefit. The area under the ROC curve was 0.940 (95% CI: 0.908~0.972), with a sensitivity of 0.842 and a specificity of 0.900. Conclusion Age, history of hypertension, ODI, PSG grade, high-density lipoprotein cholesterol, homocysteine, and troponin I are independent risk factors for CHD in OSAHS patients. The prediction model constructed based on these factors can provide a reliable tool for clinical nurses to early identify high-risk individuals and formulate targeted intervention strategies.
4.Molecular mechanism of hesperetin in the treatment of heart failure by network pharmacology, molecular docking and molecular dynamics
Yue LI ; Guiyu LI ; Xiaoling ZHU ; Miaoyang LIN ; Danping XU
International Journal of Biomedical Engineering 2025;48(5):462-472
Objective:To systematically elucidate the molecular mechanism of hesperetin in the treatment of heart failure by network pharmacology, molecular docking, and molecular dynamics, and to clarify its key targets and pathway regulatory networks.Methods:Potential targets of hesperetin were retrieved from the PubChem, Pharmmapper, SwissTargetPrediction, and Similarity ensemble approach databases. Heart failure-related targets were obtained from the OMIM, GeneCards, and TTD databases. Intersection targets were identified using Venny 2.1. A protein-protein interaction (PPI) network of potential targets was constructed using the STRING database and Cytoscape 3.9.0 software. Gene ontology (GO) functional and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses of key targets were performed using the Metascape database. Molecular docking was carried out using Autodock vina1.1.2. GROMACS (2024.03) was employed to conduct a 100 ns molecular dynamics simulation on the optimal affinity complex. The thermodynamic stability of the candidate complex during simulation was evaluated by analyzing the root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration (Rg), and binding free energy. Data were analyzed by an independent sample t test or one-way analysis of variance. Results:A total of 356 related targets of hesperetin and 2 923 related targets of heart failure were screened, with 152 intersection targets identified as potential targets for hesperetin intervention in heart failure. PPI network topological analysis revealed key targets for hesperetin intervention in heart failure, including insulin-like growth factor 1, estrogen receptor 1 (ER1), cysteine aspartic acid specific protease-3, sarcoma proto-oncogene, matrix metalloproteinase 9 (MMP9), MMP2, Janus kinase 2 (JAK2), albumin, heat shock protein 90 alpha family class A member 1, epidermal growth factor receptor, and B-cell lymphoma-2 (Bcl-2). GO functional enrichment analysis indicated that biological processes were mainly enriched in response to hormone stimulation, positive regulation of cell migration, gland development, response to nutritional levels, regulation of system processes, and response to trauma. Molecular functions were primarily enriched in phosphotransferase activity, nuclear receptor activity, endopeptidase activity, kinase binding, heme binding, hormone binding and protease binding. Cellular components were mainly enriched in membrane-related structures such as vesicle cavity, membrane raft, vacuole cavity, receptor complex and extracellular matrix containing collagen. KEGG pathway enrichment analysis showed that these key targets were significantly enriched in lipid and atherosclerosis, diabetic cardiomyopathy, and the hypoxia-inducible factor-1 signaling pathway. Molecular docking results indicated that the binding energy of hesperetin to MMP9 (?46.442 kJ/mol) was significantly lower than that to other key targets. Molecular dynamics simulations revealed that the hesperetin-MMP9 complex maintained structural stability, with an average RMSD of 1.60 ?. The average RMSF values of MMP9 residues (0.83 ?) and ligand atoms (0.68 ?) indicated stable protein conformation and ligand-binding states. The Rg values of MMP9 [(15.04±0.60) ?] and hesperetin [(4.19±0.35) ?] showed minimal fluctuations, further supporting structural compactness. The total binding free energy of the hesperetin-MMP9 complex during the 100 ns simulation was (?142.3±6.3) kJ/mol, with minimal energy fluctuations, confirming that the complex remained structurally stable without significant energy transition throughout the simulation.Conclusions:Hesperetin may bind effectively to targets such as MMP9, JAK2, Bcl-2, and ER1, and form a stable complex with MMP9. It is suggested to influence biological processes related to lipids and signaling pathways such as atherosclerosis, diabetic cardiomyopathy, and hypoxia-inducible factor-1, thereby playing a role in heart failure intervention.
5.Cordycepin attenuates gentamicin-induced kidney injury by inhibiting oxidative stress and ferroptosis
Lin YUE ; Cao-mei XU ; Min-yan QIAN ; Wen-ting ZHANG ; Xiao ZHENG ; Lu-jun CHEN ; Jing-ting JIANG ; Nan HU
Chinese Pharmacological Bulletin 2025;41(1):65-70
Aim To investigate the effect of cordycepin(COR)on gentamicin(GEN)-induced nephrotoxicity and the molecular mechanism of inhibiting oxidative stress and ferroptosis induced by GEN.Methods The oral SD rats were divided into a control group,GEN group,and GEN+COR group.Following the success-ful setting up of the animal model,the serum creatinine(CR)and urea nitrogen(BUN)levels of rats were measured,and renal tissue injury was assessed using HE staining.In addition,the contents of malondialde-hyde and glutathione in kidney tissues of SD rats in each group were detected,and the expressions of fer-roptosis markers GPX4 and SLC7A11 were analyzed by Western blot.Results Compared with the control group,CR and BUN in GEN-stimulated group signifi-cantly increased(P<0.01),and the level of CR and BUN was effectively reduced after 50 mg·kg-1 COR oral administration.HE results also showed that COR could alleviate the kidney tissue damage caused by GEN.COR could reverse the increase of malondialde-hyde level and the decrease of glutathione level caused by GEN in rat kidney tissue,and COR could restore the decrease of GPX4 and SLC7A11 protein levels induced by GEN.Conclusion COR can reduce GEN-induced kidney injury by inhibiting oxidative stress and ferrop-tosis.
6.Study on intestinal protection and mechanism of magnolol in neonatal rats with necrotizing enterocolitis
Hai-yan FENG ; Yue ZHANG ; Mao XU ; Kai-qi TAN ; Yi WANG ; Zhuo-lin CHEN ; Yu-fei CHEN ; Shao-xuan CHEN ; Yang ZHAO ; Cui LIU
Chinese Pharmacological Bulletin 2025;41(9):1728-1735
Aim To investigate the intestinal protection and possible mechanism of magnolol(MG)in newborn rats with necrotizing enterocolitis(NEC).Methods The rats were randomly divided into control group(Ctrl group),model group(NEC group)and treatment group(MG group).The NEC model was induced by hypoxia,cold stimulation,deep formula milk and LPS intragastric administration in 7-day-old rats for four days.They were killed after five days of treatment with MG(20 mg·kg-1).HE staining was used to observe the intestinal pathological injury.Western blot was used to detect the expressions of IL-1 β,TNF-α,NL-RP3,ASC,caspase-1 and tight junction protein in the distal ileum of rats.Colon contents were collected for 16S rDNA sequencing to understand the gut microbio-ta.Results MG improved the body mass and intesti-nal injury of NEC neonatal rats.The expressions of in-testinal IL-1β,TNF-α,NLRP3,ASC and caspase-1 proteins were down-regulated,and the expressions of Claudin,Occludin and ZO-1 proteins were up-regula-ted.16S rDNA showed that MG increased the diversity of intestinal flora,and at the phylum level,MG in-creased the abundance of firmicutes and bacteroides in NEC model,and decreased the abundance of pro-teobacteria.At the genus level,MG treatment in-creased the abundance of Lactobacillus,unclassified_Muribaculaceae,Racteroides,but decreased the abun-dance of Escherichia_Shigella,Rodentibacter and Fuso-bacterium.Conclusion MG intervention can protect the intestinal tract of NEC rats by potentially improving barrier function,and regulating the intestinal microbiota through the NLRP3/ASC/caspase-1 signaling pathway.
7.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
8.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
9.Expert consensus on holistic integrative management of oropharyngeal squamous cell carcinoma
Moyi SUN ; Zongxuan HE ; Qianwei NI ; Xiaoying LI ; Lin KONG ; Qing XI ; Wei GUO ; Zhangui TANG ; Guoxin REN ; Zhijun SUN ; Jian MENG ; Jie ZHANG ; Jichen LI ; Yue HE ; Chunjie LI ; Lizheng QIN ; Kai YANG ; Bing HAN ; Yan SUN ; Haijun LU ; Xiaohong ZHAN ; Dapeng HAO ; Kai SONG ; Haoyue XU ; Lingxue BU ; Jieying LI ; Man HU ; Mingjin XU ; Yun LI ; Wei SHANG
Journal of Practical Stomatology 2025;41(3):293-304
Oropharyngeal squamous cell carcinoma(OPSCC)is a malignant tumor originating from the squamous epithelium of the oro-pharyngeal mucosa,accounting for more than 90%of oropharyngeal malignancies.In recent years,human papillomavirus(HPV)infec-tion has become one of the primary etiological factors of oropharyngeal squamous carcinoma.The incidence of HPV-associated oropharyn-geal squamous carcinoma has been rising annually,with a noticeable trend toward younger populations,posing a significant threat to hu-man health.Due to the distinct biological behavior and clinical characteristics of HPV-associated oropharyngeal squamous carcinoma com-pared to its non-HPV-related counterpart,the diagnostic and treatment strategies for oropharyngeal squamous carcinoma have undergone substantial changes.Prevention and screening for oropharyngeal squamous carcinoma are of critical importance.The diagnostic and treat-ment process involves multi-disciplinary collaboration,including oral and maxillofacial surgery,otolaryngology,head and neck surgery,oncology,radiology and pathology.Based on evidence from clinical practice,a comprehensive,integrated diagnostic and therapeutic ap-proach has been established,centered around the concept of"prevention,screening,diagnosis,treatment,and rehabilitation",covering the entire patient lifecycle and providing a valuable reference for clinical practice.
10.Prognostic Value of Dynamic Monitoring of WT1 Expression Levels for Relapse and Overall Survival in AML Patients Undergoing Allogeneic Hematopoietic Stem Cell Transplantation During First Complete Remission
Xiao-Ya HE ; Han-Yun REN ; Yu-Jun DONG ; Li JI ; Qing-Yun WANG ; Yuan LI ; Yue YIN ; Ze-Yin LIANG ; Qian WANG ; Wei-Lin XU ; Jin-Ping OU ; Bing-Jie WANG ; Wei LIU
Journal of Experimental Hematology 2025;33(6):1790-1796
Objective:To analyze the predictive role of WT1 expression levels pre-and early post-transplantation on relapse and overall survival(OS)in patients with acute myeloid leukemia(AML)undergoing allogeneic hematopoietic stem cell transplantation(allo-HSCT)during their first complete remission(CR1).Methods:A retrospective analysis was conducted on the clinical data of 107 adult AML patients who underwent allo-HSCT during their CR1 at our center between May 2012 and December 2021.The predictive role of bone marrow WT1 expression levels before transplantation and at 3 and 6 months post-transplantation on relapse and OS was explored in combination with relevant clinical factors.Results:The median follow-up time for the 107 patients was 70(range:11-117)months.Among the patients,15 cases died.Kaplan-Meier survial analysis showed that the 3-year overall survival(OS)rate was 85.0%.20 patients experienced relapse,with a median time to relapse of 8(range:0.5-44)months and a l-year cumulative relapse rate of 13.1%.The overall median value of WT1 before transplantation,3 months after transplantation,and 6 months after transplantation was 0.26%(range:0%-23.64%),with an upper quartile value of 0.74%.No statistically significant differences in WT1 expression levels were observed among the pre-transplantation,3-month post-transplantation,and 6-month post-transplantation time points(P=0.227).Univariate analysis showed that patients with WT1 levels>0.74%at 3 months post-transplantation had a higher 1-year relapse rate(P=0.029)and lower 3-year OS rate(P<0.001)compared to patients with WT1 levels ≤0.74%.Other significant factors affecting 1-year relapse included stem cell source(P=0.041)and chronic graft-versus-host disease(cGVHD)(P=0.013).For 3-year OS,additional influencing factors were genetic high risk(P=0.048)and stem cell source(P=0.016).Multivariate analysis revealed that WT1 level>0.74%at 3 months post-transplantation had a trend to affect 1-year relapse rate(HR=3.309,95%CI:0.958-11.431,P=0.058),while the absence of cGVHD was an independent risk factor for 1-year relapse(HR=3.473,95%CI:0.749-16.100,P=0.037).Only WT1 level>0.74%at 3 months post-transplantation was an independent risk factor for 3-year OS(HR=6.886,95%CI:2.402-19.738,P<0.001).Conclusion:High WT1 expression level at 3 months post-transplantation in AML patients undergoing allo-HSCT during CR1 affects the 1-year relapse rate and 3-year OS,and is an independent risk factor affecting 3-year OS.These findings suggest that dynamic monitoring of WT1 expression levels has certain value in prognostic assessment of AML patients who received allo-HSCT during CR1.


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