1.The mediating effect of career growth on the relationship between job satisfaction and job burnout among administrative staff in public hospitals
Jie DONG ; Ruike YOU ; Yu ZHANG
China Occupational Medicine 2026;53(2):181-185
Objective To explore the effect of job satisfaction on job burnout among administrative staff in public hospitals and to examine the mediating effect of career growth in this relationship. Methods A total of 384 administrative staff from 20 public hospitals in Tianjin City were recruited as participants using the convenience sampling method. Their job burnout, job satisfaction, and career growth were measured with the Maslach Burnout Inventory, Job Satisfaction Scale, and Career Growth Scale, respectively. A structural equation model was constructed using AMOS 23.0, and the mediating effect was examined with the Bootstrap method. Results The mean scores of job burnout, job satisfaction, and career growth among participants were (43.1±15.4), (14.4±5.7), and (8.3±4.2), respectively. The results of the mediating effect analysis showed that career growth played a significant mediating role between job satisfaction and job burnout among the public hospital administrative staff, with the mediating effect accounting for approximately 22.2% to 52.2% of the total effect. Conclusion Job satisfaction of public hospital administrative staff can directly affect their job burnout, and it can also influence job burnout through the mediating effect of career growth. Effective measures to improve job satisfaction and promote career growth may help alleviate job burnout among administrative staff in public hospitals.
2.Analysis of risk prevention behaviors and influencing factors of HIV infection among young students with MSM
Chinese Journal of School Health 2025;46(9):1323-1327
Objective:
To explore the potential category patterns of risk prevention and control behaviors of HIV infection among young students who have sex with men (MSM) and their impact on HIV infection and late detection, aiming to optimize intervention strategies.
Methods:
From September 2017 to December 2024, a total of 1 637 MSM young students in Tianjin were recruited through both online and offline channels. Latent class analysis was applied to classify 11 HIV risk prevention and control behaviors [condom use during the most recent anal sex in the past 6 months, consistent condom use, use of water based lubricants, abstinence from recreational drugs, regular on site professional testing, fixed sexual partners, partner testing, awareness of partner s HIV testing results, testing before sexual activity, nucleic acid testing, and use of pre exposure prophylaxis (PrEP) or post exposure prophylaxis (PEP)]. Multivariate Logistic regression analyzed associations between demographic characteristics/intervention services factors and latent classes. Differences in HIV infection and late detection across behavior patterns were compared.
Results:
HIV risk prevention and control behaviors among MSM students were classified into three latent classes:condom dependent group (38.42%), low prevention group (27.73%), and comprehensive prevention group (33.85%). Students who received condom promotion/testing services were more likely to belong to the comprehensive prevention group ( OR =5.58), while those who received peer education were less likely to the comprehensive prevention group ( OR =0.43) (both P <0.01). Among the MSM student population, the HIV infection rate was 4.83%, with 2.26% of cases detected late. The HIV infection rate (1.45%) and late detection proportion (0.82%) in the comprehensive prevention group were lower than those in the low prevention group (7.89% and 3.83%, respectively) ( χ 2=16.20, 7.31, both P <0.01).
Conclusions
HIV risk prevention and control behaviors among MSM young students exhibit significant heterogeneity. Comprehensive prevention strategies can effectively reduce HIV infection and late detection risks. It is necessary to optimize peer education content and improve the accessibility of diversified prevention measures such as PrEP/PEP to enhance HIV prevention and control.
3.Research progress on decidual natural killer cell education in recurrent pregnancy loss
Ya-Jing LI ; Yu-Jing XIONG ; Jie DONG ; Xiao-Hong WANG
Medical Journal of Chinese People's Liberation Army 2025;50(10):1332-1337
Decidual natural killer(dNK)cells are the most abundant immune cells in the decidua.The functional acquisition during dNK cell development depends on NK cell education,a process in which the highly polymorphic killer cell immunoglobulin-like receptors(KIRs)and CD94/NKG2s expressed on dNK cells bind to major histocompatibility complex(MHC)class Ⅰmolecules expressed by extravillous trophoblast(EVT)cells.This interaction regulates the effector functions of NK cells.dNK cells participate in the establishment and maintenance of pregnancy by modulating immune tolerance at the maternal-fetal interface.Defects in dNK cell education leading to dNK dysfunction are potential pathological mechanisms underlying adverse pregnancy outcomes such as recurrent pregnancy loss(RPL).This review summarizes the characteristics of dNK cells,dNK cell education and its key associated molecules,and the pathological mechanisms by which poorly educated dNK cells contribute to RPL,aiming to offer insights for predicting and improving pregnancy outcomes in RPL patients associated with dNK cell abnormalities.
4.Imaging assessment of osteosarcoma chemotherapy efficacy based on multi-scale lesion attention network
Jie ZANG ; Ze-Qun SONG ; Zhen-Yu TANG ; Fang-Zhou HE ; Chao-Wei DING ; Ling-Feng WANG ; Xiao-Dong TANG
Acta Anatomica Sinica 2025;56(1):30-36
Objective To propose a high-precision deep learning-based image assessment method of osteosarcoma chemotherapy efficacy for clinical treatment,as existing methos have low accuracy of osteosarcoma assessment.Methods The low incidence of osteosarcoma led to the small scale of its imaging data and the problem of imbalance in data categories.This study combined deep learning with clinical medical information,combined the bone sarcoma generation module of BoneGAN and the scale lesion information capture module,and proposed OMLA-Net,a deep learning assessment network for chemotherapy effect of bone sarcoma based on multi-scale lesion attention network,which achieved computer-aided bone tumor assessment with integrated data augmentation and focused lesion information through pre-training and generalized loss training.Results In this study,40 cases of osteosarcoma MRI data were used as the basis for the comparison test on the generated dataset,and the OMLA-Net assessment outperformed the SOTA method Conv-LSTM-GAN in terms of the assessment effects such as accuracy and F1 scores,and the difference was statistically significant(Bootstrap statistical method P<0.05);the subsequent K-fold cross-validation ablation experiments further demonstrated the effectiveness of each module proposed by OMLA-Net.Conclusion OMLA-Net can effectively perform the impact assessment of chemotherapy effect on osteosarcoma,which provides a new idea for subsequent clinical application.
5.Characteristics and Functional Analysis of CD4+T Lymphocyte Subsets in Mice Infected with Streptococcus pneumoniae
Yuehong DONG ; Yu ZHAO ; Yiqun KUANG ; Jie JIA
Journal of Kunming Medical University 2025;46(6):46-53
Objective To analyze the levels and functions of CD4+T cell subsets in mouse spleen and lung tissues after Streptococcus pneumoniae(S.P.)infection,and to explore the immune regulatory mechanisms S.P.infection.Methods Flow cytometry was used to detect the proportions of CD4+T cell subsets(Th1,Th2,Th17,and Treg cells)in mouse spleen tissues from control group(n=4),S.P.infection at 12 h(n=4),and 24 h(n=4).H&E staining was used to examine lung tissue pathological characteristics.Differential gene sets and functional changes in lung tissues were analyzed after S.P.infection for 2 and 5 days,and immune cell abundance was predicted.Results Significant inflammatory pathological features were observed in the lung tissues of mice after S.P.infection.The proportions of Th1 and Treg cells in the spleen tissues gradually increased after S.P.infection,with Th1 and Treg cell proportions significantly higher than the control group at 24 h post-infection(P<0.05).At 5 d post-infection,only Treg cell proportion was significantly higher than the control group(P<0.05).Functional analysis revealed abnormal activation of IL6,IL10,and IL4/IL13 signaling pathways 2 days after infection,and abnormal enrichment of IL-2 and IL-6/TGF-β pathways 5 days after infection.Conclusion Treg and Th1 cells are key immune regulatory cells in mice following S.P.infection.Modulating Treg cell function mediated by IL-10 and Th1 cell function mediated by IL-2 can improve immune responses after S.P.infection.
6.Evaluation of the effect of puerarin on rheumatoid arthritis in rats based on AKT-FOXO1-IL-9 pathway
Xiaoyu Liu ; Han Yu ; Jie Yu ; Jingru Gao ; Qingqing Ma ; Jihai Shi ; Xiangli Dong ; Jinqi Hao ; Ruolan Yin ; Yanqin Yu
Acta Universitatis Medicinalis Anhui 2025;60(10):1839-1846
Objective:
To explore the therapeutic mechanism of puerarin in treating rheumatoid arthritis (RA) rats based on the serine/tyrosine protein kinase B (AKT)-phosphorylated forkhead box protein O1 (FOXO1)-interleukin-9 (AKT-FOXO1-IL-9) signaling pathway.
Methods :
36 rats were randomly divided into a blank group , a model group , a positive control group , and low , medium , and high dose groups of puerarin. Except for the blank group , the other groups were induced with type Ⅱ collagen to establish a RA rat model. After successful modeling , different doses of puerarin and methotrexate were given to treat the rats. The body mass and toe thickness of the rats were measured , and biochemical indicators of rat blood rheology were detected. X-ray was used to observe changes in rat joint morphology. Safranin green staining were used to observe the pathology of rat joint tissue. ELISA was used to detect the levels of IL-9 and rheumatoid factors in rat serum , and Western blot was used to detect changes in levels of AKT and FOXO1 . 36 rats were randomly divided into a blank group , a model group , a positive control group , and low , medium , and high dose groups of puerarin. Except for the blank group , the other groups were induced with type Ⅱ collagen to establish a RA rat model. After successful modeling , different doses of puerarin and methotrexate were given to treat the rats. The body mass and toe thickness of the rats were measured , and biochemical indicators of rat blood rheology were detected. X-ray was used to observe changes in rat joint morphology. Safranin green staining were used to observe the pathology of rat joint tissue. ELISA was used to detect the levels of IL-9 and rheumatoid factors in rat serum , and Western blot was used to detect changes in levels of AKT and FOXO1 .
Results:
Compared with the blank group , the model group had the lowest toe thickness , and X-ray images showed more obvious segmental stenosis and more severe marginal bone invasion ; scaly like changes appeared at the edges of joints stained with safranin green , accompanied by the exudation of inflammatory cells and increased proliferation and secretion of chondrocytes ; the expression levels of inflammatory factors IL-9 and rheumatoid factors were the highest , and the expression levels of AKT and FOXO1 proteins were the highest (P < 0. 05) . Compared with the model group , the toe thickness of rats treated with different doses of puerarin decreased ; X-ray images showed that the puerarin treatment group of rats showed improvement in plantar joint stenosis and marginal bone invasion ; the results of safranin green staining showed that after treatment with different doses of puerarin , the infiltration of inflammatory cells decreased , and the expression levels of inflammatory factor IL-9 , rheumatoid factors , AKT , and FOXO1 proteins decreased significantly ( P < 0. 05 ) , with the high-dose puerarin group showing the most significant difference. Compared with the high-dose puerarin group , the positive control group showed a significant decrease in the above results and statistical differences (P < 0. 05) .
Conclusion
Puerarin has a good therapeutic effect on rats with RA by inhibiting the AKT-FOXO1-IL-9 pathway. The high-dose puerarin group (60 mg/kg) has the best therapeutic effect and the results show a dose-response relationship.
7.Single-cell RNA sequencing reveals Shen-Bai-Jie-Du decoction retards colorectal tumorigenesis by regulating the TMEM131-TNF signaling pathway-mediated differentiation of immunosuppressive dendritic cells.
Yuquan TAO ; Yinuo MA ; Limei GU ; Ye ZHANG ; Qinchang ZHANG ; Lisha ZHOU ; Jie PAN ; Meng SHEN ; Xuefei ZHUANG ; Linmei PAN ; Weixing SHEN ; Chengtao YU ; Dan DONG ; Dong ZHANG ; Tingsheng LING ; Yang SUN ; Haibo CHENG
Acta Pharmaceutica Sinica B 2025;15(7):3545-3560
Colorectal tumorigenesis generally progresses from adenoma to adenocarcinoma, accompanied by dynamic changes in the tumor microenvironment (TME). A randomized controlled trial has confirmed the efficacy and safety of Shen-Bai-Jie-Du decoction (SBJDD) in preventing colorectal tumorigenesis. However, the mechanism remains unclear. In this study, we employed single-cell RNA sequencing (scRNA-seq) to investigate the dynamic evolution of the TME and validated cell infiltration with multiplex immunohistochemistry and flow cytometry. Bulk RNA sequencing was utilized to assess the underlying mechanisms. Our results constructed the mutually verifiable single-cell transcriptomic atlases in Apc Min/+ mice and clinical patients. There was a marked accumulation of CCL22+ dendritic cells (DCs) and an enhanced immunosuppressive action, which SBJDD and berberine reversed. Combined treatment with cholesterol and lipopolysaccharide induced characteristic gene expression of CCL22+ DCs, which may represent "exhausted DCs". Intraperitoneal injection of these DCs after SBJDD treatment eliminated its therapeutic effects. TMEM131 derived CCL22+ DCs generation by TNF signaling pathway and may be a potential target of berberine in retarding colorectal tumorigenesis. These findings emphasize the role of exhausted DCs and the regulatory mechanisms of SBJDD and berberine in colorectal cancer (CRC), suggesting that the multi-component properties of SBJDD may help restore TME homeostasis and offer novel cancer therapy.
8.PARylation promotes acute kidney injury via RACK1 dimerization-mediated HIF-1α degradation.
Xiangyu LI ; Xiaoyu SHEN ; Xinfei MAO ; Yuqing WANG ; Yuhang DONG ; Shuai SUN ; Mengmeng ZHANG ; Jie WEI ; Jianan WANG ; Chao LI ; Minglu JI ; Xiaowei HU ; Xinyu CHEN ; Juan JIN ; Jiagen WEN ; Yujie LIU ; Mingfei WU ; Jutao YU ; Xiaoming MENG
Acta Pharmaceutica Sinica B 2025;15(9):4673-4691
Poly(ADP-ribosyl)ation (PARylation) is a specific form of post-translational modification (PTM) predominantly triggered by the activation of poly-ADP-ribose polymerase 1 (PARP1). However, the role and mechanism of PARylation in the advancement of acute kidney injury (AKI) remain undetermined. Here, we demonstrated the significant upregulation of PARP1 and its associated PARylation in murine models of AKI, consistent with renal biopsy findings in patients with AKI. This elevation in PARP1 expression might be attributed to trimethylation of histone H3 lysine 4 (H3K4me3). Furthermore, a reduction in PARylation levels mitigated renal dysfunction in the AKI mouse models. Mechanistically, liquid chromatography-mass spectrometry indicated that PARylation mainly occurred in receptor for activated C kinase 1 (RACK1), thereby facilitating its subsequent phosphorylation. Moreover, the phosphorylation of RACK1 enhanced its dimerization and accelerated the ubiquitination-mediated hypoxia inducible factor-1α (HIF-1α) degradation, thereby exacerbating kidney injury. Additionally, we identified a PARP1 proteolysis-targeting chimera (PROTAC), A19, as a PARP1 degrader that demonstrated superior protective effects against renal injury compared with PJ34, a previously identified PARP1 inhibitor. Collectively, both genetic and drug-based inhibition of PARylation mitigated kidney injury, indicating that the PARylated RACK1/HIF-1α axis could be a promising therapeutic target for AKI treatment.
9.High-throughput circular RNA sequencing reveals tumor-specific high expression of hsa_circ_0001900 in Wilms tumor in association with poor prognosis.
Zhiqiang GAO ; Jie LIN ; Peng HONG ; Zaihong HU ; Kongkong CUI ; Yu WANG ; Junjun DONG ; Qinlin SHI ; Xiaomao TIAN ; Guanghui WEI
Journal of Southern Medical University 2025;45(11):2466-2474
OBJECTIVES:
To explore the expression profile of circular RNAs (circRNAs) and their potential roles in prognosis and progression of Wilms' tumor (WT).
METHODS:
Four pairs of WT and adjacent tissues were collected for high-throughput circRNA sequencing to identify the differentially expressed circular RNAs. RT-qPCR was used to verify the expression levels of the top 6 candidate circRNAs in the clinical samples. hsa_circ_0001900 was selected for analysis of its correlation with clinicopathological features and prognosis in 34 patients with WT. Sanger sequencing and RNase R digestion experiments were used to verify the cycling site and structural stability of hsa_circ_0001900 molecule.
RESULTS:
A total of 23 978 circular RNA molecules were identified in WT tissues by high-throughput circular RNA sequencing, and among them 614 were differentially expressed in WT. hsa_circ_0001900 showed the highest expression level among the differentially expressed circRNAs, which was consistent with the findings in clinical tumor samples and the sequencing results. Correlation analysis showed that hsa_circ_0001900 expression level was positively correlated with WT volume, and the children with high hsa_circ_0001900 expression had a lowered recurrence-free survival rate. The results of Sanger sequencing verified the circular splice site sequence of the molecule, and Rnase R digestion assay confirmed its stable covalent structure.
CONCLUSIONS
This study presents a comprehensive expression profile of circular RNAs in WT, and the expression level of hsa_circ_0001900 is related to the size of WT and the patients' prognosis, suggesting its possible role as a key driving gene in WT progression.
Humans
;
RNA, Circular
;
Wilms Tumor/pathology*
;
Prognosis
;
High-Throughput Nucleotide Sequencing
;
Kidney Neoplasms/genetics*
;
Sequence Analysis, RNA
;
Male
;
Female
10.Predicting Postoperative Circulatory Complications in Older Patients: A Machine Learning Approach.
Xiao Yun HU ; Wei Xuan SHENG ; Kang YU ; Jie Tai DUO ; Peng Fei LIU ; Ya Wei LI ; Dong Xin WANG ; Hui Hui MIAO
Biomedical and Environmental Sciences 2025;38(3):328-340
OBJECTIVE:
This study examines utilizes the advantages of machine learning algorithms to discern key determinants in prognosticate postoperative circulatory complications (PCCs) for older patients.
METHODS:
This secondary analysis of data from a randomized controlled trial involved 1,720 elderly participants in five tertiary hospitals in Beijing, China. Participants aged 60-90 years undergoing major non-cardiac surgery under general anesthesia. The primary outcome metric of the study was the occurrence of PCCs, according to the European Society of Cardiology and the European Society of Anaesthesiology diagnostic criteria. The analysis metrics contained 67 candidate variables, including baseline characteristics, laboratory tests, and scale assessments.
RESULTS:
Our feature selection process identified key variables that significantly impact patient outcomes, including the duration of ICU stay, surgery, and anesthesia; APACHE-II score; intraoperative average heart rate and blood loss; cumulative opioid use during surgery; patient age; VAS-Move-Median score on the 1st to 3rd day; Charlson comorbidity score; volumes of intraoperative plasma, crystalloid, and colloid fluids; cumulative red blood cell transfusion during surgery; and endotracheal intubation duration. Notably, our Random Forest model demonstrated exceptional performance with an accuracy of 0.9872.
CONCLUSION
We have developed and validated an algorithm for predicting PCCs in elderly patients by identifying key risk factors.
Aged
;
Aged, 80 and over
;
Female
;
Humans
;
Male
;
Middle Aged
;
Cardiovascular Diseases/etiology*
;
Machine Learning
;
Postoperative Complications/etiology*
;
Risk Factors
;
Randomized Controlled Trials as Topic
;
Secondary Data Analysis


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