1.KDM5A/cGAS-STING–mediated microglial activation contributes to prenatal fine particulate matter induced cerebral cortical injury in offspring mice
Wenke NIE ; Li ZHOU ; Siqi WANG ; Chao SONG ; Hang YU ; Wanwei LI ; Mengxiao LUAN ; Lu SUN ; Li YU
Journal of Environmental and Occupational Medicine 2026;43(3):270-277
Background Prenatal exposure to fine particulate matter (PM2.5) is closely associated with cortical damage and neuroinflammation in offspring. The cyclic guanosine monophosphate–adenosine monophosphate synthase (cGAS)–stimulator of interferon genes (STING) signaling pathway is a key regulator of inflammation and may be subject to epigenetic regulation. Objective To investigate the role of cGAS-STING pathway activation in PM2.5-induced cortical damage in offspring mice during pregnancy and the underlying epigenetic regulatory mechanisms. Methods Open field tests were used to assess depressive-like behavior in offspring mice. Morphological analysis was conducted to evaluate cortical damage and microglial activation in offspring brains. Real-time fluorescent quantitative PCR (RT-qPCR) and Western blot (WB) were performed to detect changes in the expression of key molecules in the cGAS-STING pathway in cortical tissue. A PM2.5-induced microglial cell injury model was established in BV2 cells. Microglial activation was observed, cell viability was measured using the Cell Counting Kit-8 (CCK-8), and the expression levels of inducible nitric oxide synthase (iNOS) and key molecules in the cGAS-STING pathway were detected by RT-qPCR and WB. Bioinformatics analysis was performed to explore the epigenetic regulatory association between the STING signaling pathway and lysine-specific demethylase 5A (KDM5A). Changes in KDM5A mRNA and protein expression, as well as the protein level of histone H3 lysine 4 trimethylation (H3K4me3), were detected in an in vitro PM2.5 injury model. Using small interfering RNA (siRNA) technology, the KDM5A gene was silenced in BV2 cells exposed to PM2.5. The protein expression of H3K4me3 was detected to evaluate improvements in microglial activation, changes in inflammatory markers such as iNOS and mannose receptor (CD206), and alterations in the cGAS-STING pathway. Results Compared with the control group, the total distance of offspring mice in the PM2.5 group was significantly reduced, and both the distance traveled and the time spent in the central area of the open field were significantly decreased (P<0.01, P<0.001), indicating depressive-like behavior in the offspring mice. Compared with the control group, the offspring mice in the PM2.5 group exhibited disorganized cortical structure and significantly activated microglia (P<0.01), with significantly increased mRNA and protein levels of cGAS and STING (P<0.05, P<0.01, or P<0.001). The in vitro experiments demonstrated that the PM2.5 treatment induced BV2 cells to polarize toward the M1 phenotype, exhibiting a distinct amoeboid morphology, with upregulated expression of the pro-inflammatory factor iNOS (P<0.05, P<0.01, or P<0.001) and activation of the cGAS-STING pathway (P<0.05, P<0.01). The analysis of RNA-seq data from KDM5A knockout cells revealed significantly downregulated STING expression, suggesting that KDM5A may activate the STING signaling pathway. The in vitro experiments further confirmed that the PM2.5-treated BV2 cells exhibited significantly elevated mRNA and protein levels of KDM5A (P<0.01), while the H3K4me3 protein levels were markedly reduced (P<0.05). After silencing KDM5A in BV2 cells exposed to PM2.5, compared with the PM2.5+siNC group, the PM2.5+siKDM5A group showed no obvious microglial activation and polarized toward the M2 phenotype, with significantly decreased expression levels of iNOS, cluster of differentiation 16 (CD16), and interleukin-1β (P<0.05, P<0.01), and significantly increased expression levels of anti-inflammatory factors CD206, YM1, and interleukin-10 (P<0.01, P<0.001). Meanwhile, the expression levels of cGAS and STING were also reduced (P<0.05, P<0.01). Conclusion KDM5A activates microglia through the cGAS-STING pathway, thereby contributing to PM2.5-induced cortical damage in offspring mice during pregnancy.
2.Compound sabal berry tablets for the treatment of overactive bladder symptoms after laser enucleation of the prostate in patients with benign prostatic hyperplasia
Gai HANG ; Quan WEN ; Ying LIU ; Yunpeng GUO ; Yuyang WANG ; Zhiyu YU ; Bo CHEN
Chinese Journal of Primary Medicine and Pharmacy 2025;32(9):1315-1319
Objective:To investigate the clinical efficacy of compound sabal berry tablets on overactive bladder symptoms in patients with benign prostatic hyperplasia after transurethral laser enucleation of the prostate.Methods:This study was a prospective study. Eighty patients with benign prostatic hyperplasia who underwent laser enucleation at Tongliao People's Hospital from January 2024 to December 2024 were included in this study. The patients were randomly divided into a study group and a control group using the random number table method, with 40 patients per group. The control group received 0.2 mg of tolterodine tartrate tablets twice a day after surgery. The study group was given compound sabal berry tablets (0.5 g orally three times a day) in addition to the treatment provided to the control group. Both groups of patients were treated for 4 weeks after surgery. The clinical efficacy of the two groups was compared, including the International Prostate Symptom Score (IPSS), Overactive Bladder Symptom Score (OABSS), Maximum Postoperative Urinary Flow Rate (Qmax), Post-Void Residual (PVR), and the incidence of postoperative bladder irritative symptoms.Results:The differences in the preoperative indicators, including IPSS, OABSS, Qmax, and PVR, between the two groups were not statistically significant (all P > 0.05). Preoperatively, in the control group, Qmax was (8.64 ± 2.83) mL/s, IPSS was (25.10 ± 4.37), OABSS was (10.52 ± 1.87), and PVR was (80.70 ± 6.34) mL; in the study group, the respective values were (9.12 ± 2.95) mL/s, (24.60 ± 4.53), (10.83 ± 1.73), and (80.10 ± 5.61) mL. Postoperatively, in the control group, Qmax was (20.30 ± 3.65) mL/s, IPSS was (8.50 ± 1.58), OABSS was (4.09 ± 0.52), and PVR was (9.70 ± 2.48) mL, while in the study group, the respective values were (21.40 ± 4.38) mL/s, (7.40 ± 1.76), (1.71 ± 0.36), and (9.00 ± 1.75) mL. Postoperatively, both groups showed a significant increase in Qmax, while IPSS, OABSS, and PVR all significantly decreased (all P < 0.05). Postoperatively, the IPSS and OABSS in the study group were significantly lower than those in the control group ( t = -3.28, -25.89, both P < 0.05). However, there were no statistically significant differences in Qmax and PVR between the two groups (both P > 0.05). The incidence of bladder irritative symptoms in the study group [12.50% (5/40)] was significantly lower than that in the control group [35.00% (14/40), χ2 = 8.64, P < 0.05]. Conclusions:Compound sabal berry tablets can reduce postoperative prostate symptoms and overactive bladder symptoms in patients undergoing transurethral laser enucleation of the prostate for benign prostatic hyperplasia, demonstrating a certain clinical efficacy.
3.Design and application of search and rescue simulation training system
Jie-qiong ZHANG ; Yu-hang DONG ; Rui WANG ; Jie REN ; Huo-liang CHEN
Chinese Medical Equipment Journal 2025;46(4):15-20
Objective To design a search and rescue simulation training system to enhance medical command,search and rescue capabilities of the PLA air force.Method A search and rescue simulation training sysgtem was designed based on the war gaming theory and developed with C/S architecture,C++language and MongoDB database for data storage,which was composed of four subsystems for scenario setting,action coordination and commanding operation simulation.The scenario setting subsystem included 3 modules of map editing setting,scenario editing and organization preparation;the action coordination subsystem had 5 modules of deduction process control,deduction coordination intervention,deduction status monitoring,perspective control and addition of deduction conditions;the commanding operation subsystem involved in 3 modules of command and control,real-time information query and operation command;the operation simulation subsy-stem consisted of 3 modules of agent search,rescue and treatment simulation,operation ruling and operation intelligence management.Results The system developed facilitated search,rescue and commanding training-related teaching and search and rescue program rehearsal verification,and thus comprehensively enhanced the trainee's capabilities in search,rescue,commanding and decision making.Conclusion The system developed integrates effectively medical commanding with operational commanding during search and rescue,providing a novel means for air force search and rescue operations and medical service simulation training.[Chinese Medical Equipment Journal,2025,46(4):15-20]
4.Establishment and evaluation of lead-exposed osteoporosis model in rats
Wen WANG ; Hang ZHANG ; Shaobo YU ; Yue GAO ; Ming XU ; Hengdong ZHANG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2025;43(9):646-651
Objective:To construct a rat model of osteoporosis induced by lead exposure, simulate the effects of lead exposure on the skeletal system of rats, and provide reliable basic data support for subsequent research.Methods:In July 2021, 40 eight-week-old SPF-grade SD rats were selected and randomly divided into 5 experimental groups according to body weight stratification randomization: blank control group, positive control group, low-dose, medium-dose and high-dose groups, with 8 rats in each group. Continuous intragastric administration (1 ml/100 g) for 60 days was performed respectively with ultrapure water, 0.4 g/L prednisone acetate, 2.0 g/L, 4.0 g/L, and 8.0 g/L lead acetate (PbAc). During the experiment, the general condition and weight changes of the rats were recorded in detail. After model establishment, biological samples of rats were collected. The levels of blood lead, serum calcium, phosphorus, tartrate-resistant acid phosphatase (TRAP) and bone alkaline phosphatase (BALP) in rats were determined. Additionally, micro-computed tomography (Micro-CT) was used to perform 3D reconstruction of the rat femurs and examine ultrastructural changes. One-way analysis of variance was used to compare multiple groups of data, and LSD or SNK methods were used for pairwise comparisons between groups.Results:During the experiment, there were no obvious abnormalities in feeding and drinking, behavioral activities, and fur color of rats in each group, and the body weight maintained normal and gentle growth. Compared with the blank control group, the levels of blood lead, serum calcium, phosphorus, TRAP and BALP in each dose group of PbAc were significantly increased ( P<0.05), while the femoral bone mineral density, bone volume/total volume and trabecular thickness were significantly decreased ( P<0.05). Compared with the blank control group, the trabecular separation of the femur in the high-dose group was significantly increased, and the trabecular number was significantly decreased ( P<0.05). Compared with the blank control group, the bone mass loss of the femur in each dose group of PbAc was severe in rats. Conclusion:PbAc can cause osteoporosis in rats, and osteoporosis assessment indicators such as bone resorption and bone formation markers in rats, femoral bone mineral density and its ultrastructure can all evaluate the success of model construction.
5.Molecular Mechanisms and Research Progress of Hepatic Injury Induced by Hypercholesterolemia
Xing-tong LAN ; Yi-fan WANG ; Meng-yuan LIU ; Zi-yi GUO ; Jin-bo ZHANG ; Qi-hang WANG ; Yu-dian ZHANG
Progress in Modern Biomedicine 2025;25(17):2865-2874
Hypercholesterolemia is pathologically characterized by abnormal accumulation of low-density lipoprotein cholesterol,which is closely associated with metabolic dysfunction-associated fatty liver disease and increased cardiovascular risks.Hepatocytes maintain cholesterol homeostasis through LDL receptor-mediated uptake and esterification storage mechanisms.However,chronic cholesterol overload induces mitochondrial dysfunction,reactive oxygen species accumulation,and endoplasmic reticulum stress,leading to hepatocyte injury.Moreover,systemic hypercholesterolemia disrupts gut microbiota balance and impairs short-chain fatty acid and ketone metabolism,exacerbating metabolic disturbances and aggravating hepatic injury through enhanced metabolic stress.In this article,we review the advance of studies on hypercholesterolemia in recent years and summary its association with hepatic injury,which can provide theoretical support for further research.
6.Research on low-dose CT image denoising method based on improved Corediff model
Li-mei SONG ; Hang WU ; Yi-feng HUANG ; Qiang WANG ; Guan-jun LIU ; Feng CHEN ; Ming YU ; Jian-kun SHEN
Chinese Medical Equipment Journal 2025;46(5):9-13
Objective To propose a low-dose CT image denoising method based on an improved Corediff model to recover the detailed features of the image and enhance the image quality.Methods An RS-Corediff model was established by modifying the key component U-Net network of the Corediff model.Firstly,the residual module was introduced in the network input stage for feature extraction;secondly,a new downsampling module was designed in the U-Net network encoder,which learned the semantic information of the feature map by convolution and maintained the learning state during the downsampling process so as to fully extract the image features;thirdly,the feature splicing processing was used to further enhance the learning effect during the upsampling process of the U-Net network decoder;finally,the convolutional kernel size was modified to adjust the sensory field during the convolutional process of the whole U-Net network structure so as to obtain rich features.The RS-Corediff model was compared with the residual encoder-decoder convolutional neural network(RED-CNN)model and the Corediff model on the public dataset AAPM 2016 in order to verify its effectiveness for low-dose CT image denoising.Results The RS-Corediff model gained advantages over the RED-CNN and Corediff models with a peak signal-to-noise ratio(PSNR)of 41.269 8,structural similarity(SSIM)of 0.953 4 and root mean square error(RMSE)of 17.568 7.Conclusion The proposed method effectively preserves the texture and details of low-dose CT images during the denoising process to improve the overall quality of the images.[Chinese Medical Equipment Journal,2025,46(5):9-13]
7.Multimodal MRI features of cerebral small vessel disease combined with type 2 diabetes mellitus
Jing WANG ; Hang PAN ; Yan-ling ZHENG ; Zi-wen LIANG ; Yu-lin WANG ; Qiu-guo OU ; Fan-ying GUAN ; Hai-yan TAO ; Lei SONG ; Rui TANG
Journal of Regional Anatomy and Operative Surgery 2025;34(8):689-692
Objective To analyze the imaging features of cerebral small vessel disease in patients with type 2 diabetes mellitus by multimodal MRI.Methods The clinical data of 160 patients with cerebral small vessel disease admitted to our hospital from January to December 2020 were retrospectively analyzed.According to whether they were complicated with type 2 diabetes mellitus,they were divided into the diabetic group and the non-diabetic group,with 80 cases in each group.Both groups underwent multimodal MRI scans.And the severity of lacunar infarction,the severity of subcortical and periventricular white matter lesions,white matter integral and cerebral microbleeds of patients in the two groups were compared.Results The severity of lacunar infarction(χ2=34.076,P=0.001),subcortical white matter lesions(χ2=25.000,P=0.001),periventricular white matter lesions(χ2=22.895,P=0.001)and white matter integral(t=12.370,P=0.001)of patients in the diabetic group were significantly higher than those in the non-diabetic group.No cerebral microbleeds were detected in either group of patients.Conclusion Patients with cerebral small vessel disease and type 2 diabetes mellitus show characteristic multimodal MRI changes.The increase in the number of lacunar infarction lesions and the aggravation of white matter lesions can be used as the characteristic imaging basis for the diagnosis of type 2 diabetes mellitus related cerebral small vessel disease.
8.Analysis of the global burden of soft tissue and extraosseous sarcomas among individuals aged from 15 to 49 based on global burden of disease database
Qinzheng CHEN ; Honghao YU ; Yang WANG ; Hang LI
Chinese Journal of Preventive Medicine 2025;59(9):1521-1527
Objective:To systematically analyze the disease burden of soft tissue and extraosseous sarcomas (STEOS) among individuals aged 15-49 years old worldwide and in the Chinese mainland from 1990 to 2021, and explore the relationship between socio-economic development and disease burden.Methods:Incidence, mortality and disability-adjusted life year (DALY) for STEOS in populations aged from 15 to 49 were collected from the Global Burden of Disease (GBD2021) database. The temporal trends in disease burden were quantified using the average annual percentage change (AAPC). The socio-demographic index (SDI) was employed to examine the socio-economic development.Results:The global incidence rate of STEOS among individuals aged 15-49 remained relatively stable (AAPC=-0.13, 95% CI:-0.23--0.04, P=0.299). In contrast, significant declines were observed in both mortality rate (AAPC=-0.39, 95% CI:-0.47--0.31, P<0.001) and DALY rate (AAPC=-0.46, 95% CI:-0.54--0.38, P<0.001). In the Chinese mainland, the incidence of STEOS among individuals aged 15-49 remained relatively stable (AAPC=-0.10, 95% CI:-0.31-0.10, P=0.314), while the mortality rate (AAPC=-1.42, 95% CI:-1.59--1.25, P<0.001) and DALY rate (AAPC=-1.62, 95% CI:-1.82--1.42, P<0.001) declined steadily from 1990 to 2021. In 2021, high-SDI regions reported high incidence rate (1.38/100 000, 95% UI:1.28/100 000-1.46/100 000), mortality rate (0.42/100 000, 95% UI:0.39/100 000-0.43/100 000) and DALY rate (23.05/100 000, 95% UI:21.84/100 000-24.00/100 000), while low-SDI regions reported high mortality rate (0.36/100 000, 95% UI:0.27/100 000-0.54/100 000) and DALY rate (20.50/100 000, 95% UI:15.46/100 000-30.96/100 000). Conclusion:The disease burden of STEOS worldwide and in the Chinese mainland populations aged from 15 to 49 has declined consistently. Notably, STEOS constitutes a substantial disease burden, particularly among countries and regions with high-SDI and low-SDI in 2021.
9.Treating Type 2 Diabetic Nephropathy by Down-regulating NOX4 to Inhibit the Oxidative Stress Pathway in Mesenchymal Stem Cells
Shu-Qi FENG ; Guo-Rong JIN ; Qun-Hang XUE ; Min HE ; Ze-Hang WANG ; Jia-Xin YAO ; Long CHEN ; Yu-Jiao WANG ; An-Xiu ZHANG ; Sheng HE ; Bing-Rui ZHOU ; Jun XIE
Chinese Journal of Biochemistry and Molecular Biology 2025;41(5):730-740
Diabetic nephropathy(DN)is a serious complication of diabetes mellitus and a leading cause of end-stage renal diseases.In DN patients,key pathological mechanisms include proteinuria,glomerulo-sclerosis,and fibrosis,largely driven by poor glycemic control and oxidative stress caused by prolonged hyperglycemia.This stress damages renal podocytes and triggers inflammatory mesenchymal infiltration of renal tubular cells,exacerbating the progression of proteinuria and fibrosis.Human umbilical cord-de-rived mesenchymal stem cells(hUC-MSCs)offer promising potential for treating DN due to their strong anti-oxidative properties.In this study,we developed a DN mouse model and treated the mouse via tail vein injections of hUC-MSCs(1×106 cells/mouse).The results indicated that hUC-MSCs significantly lowered fasting blood glucose levels(22.5±3.0 vs 14.7±1.1,P<0.01)and improved glucose toler-ance,as shown by intraperitoneal glucose tolerance test(IPGTT)results(P<0.05).Additionally,the renal function improved in hUC-MSCs-treated mice,with marked reductions in oxidative stress markers,including blood urea nitrogen(BUN),urinary creatinine(Ucr),urinary protein(PRO),superoxide dismutase(SOD),and malondialdehyde(MDA)(P<0.05).Histological analyses through hematoxy-lin-eosin(H&E),Periodic Acid-Schiff(PAS),and Sirius red staining demonstrated alleviation of glo-merular mesangial hyperplasia,glomerular hypertrophy,and tubular inflammation.Furthermore,hUC-MSCs treatment downregulated the expression of oxidative stress-related proteins,such as NADPH oxi-dase 4(NOX4)and thioredoxin-interacting protein(TXNIP),and reduced reactive oxygen species(ROS)production(P<0.05).Meanwhile,human renal cortical proximal tubule epithelial cells(HK-2 cells)were selected for validation in vitro experiments using high glucose treatment followed by super-natants of hUC-MSCs(MSC-CM),and Western blotting showed that the expression of both NOX4 and TXNIP was inhibited(P<0.05)and ROS expression was reduced.In conclusion,hUC-MSC treatment effectively lowered blood glucose levels and improved renal function in DN mice,likely through the sup-pression of NOX4 expression and TXNIP-mediated oxidative stress.
10.Construction and preliminary validation of machine learning predictive models for cervical cancer screening based on human DNA methylation
Yuan YANG ; Hang ZHOU ; Yakun WANG ; Yu DAI ; Ruoji PI ; Hua ZHANG ; Ziyue HUANG ; Ting WU ; Jinghong YANG ; Wen CHEN
Chinese Journal of Oncology 2025;47(2):193-200
Objective:Using methylation characteristics of human genes to construct machine learning predictive models for screening cervical cancer and precancerous lesions.Methods:Human DNA methylation detection was performed on 224 cervical exfoliated cell specimens from the Cancer Hospital of the Chinese Academy of Medical Sciences, Tianjin Central Hospital of Gynecology Obstetrics, Xinmi Maternal and Child Health Hospital of Henan Province, West China Second Affiliated Hospital of Sichuan University, and Heping Hospital Affiliated to Changzhi Medical College collected during April 2014 and March 2015. The hypermethylated gene fragments related to cervical cancer were selected by high-density, high-association, and hypermethylated gene fragment screening and the LASSO regression algorithm. Taking cervical intraepithelial neoplasia grade 2 (CIN2) or more severe lesions as the research outcome, machine learning predictive models based on the random forest (RF), naive Bayes (NB), and support vector machine (SVM) algorithm, respectively, were constructed. A total of 144 outpatient specimens were used as the training set and 80 cervical exfoliated cell specimens from women participating in the cervical cancer screening program were used as the test set to verify the predictive models. Using histological diagnosis results as the gold standard, the detection efficacy for CIN2 or more severe lesions of the three machine learning predictive models were compared with that of the human papilloma virus (HPV) detection and cytological diagnosis.Results:In the training set of 144 cases, there were 34 cases of HPV positivity, with a positive rate of 23.61%. Cytologically, there were 37 cases diagnosed as no intraepithelial lesion or malignancy (NILM), and 107 cases diagnosed as atypical squamous cells of undetermined significance (ASC-US) or above. Histologically, there were 28 cases without cervical intraepithelial neoplasia or benign cervical lesions, 31 cases of CIN1, 18 cases of CIN2, 31 cases of CIN3, and 36 cases of squamous cell carcinoma. Seven hypermethylated gene fragments were selected from 45 genes, and three machine learning prediction models based on the RF, NB, and SVM algorithm, respectively, were constructed. In the validation set of 80 cases, there were 28 cases of HPV positivity, with a positive rate of 35.00%. Cytologically, there were 65 cases diagnosed as NILM and 15 cases as ASC-US or above. Histologically, there were 39 cases without cervical intraepithelial neoplasia or benign cervical lesions, 10 cases of CIN1, 10 cases of CIN2, 11 cases of CIN3, and 10 cases of squamous cell carcinoma. In the validation set, the area under the curve (AUC) values of the RF model, NB model, SVM model, HPV detection, and cytological diagnosis of CIN2 or above were 0.90, 0.88, 0.82, 0.68, and 0.45, respectively. The DeLong test showed that there was no statistically significant difference in the AUC values between the RF, NB, and SVM models (all P>0.05), and the AUC values of the RF and NB models were higher than that of HPV detection (both P<0.01), and the AUC values of the RF, NB, and SVM models were higher than that of cytological diagnosis (all P<0.01). Compared with the NB model, the sensitivity of the RF model was similar (80.65% vs. 77.42%), but the specificity of the NB model was much higher than that of the RF model (93.88% vs. 73.47%). Conclusion:Among the machine learning prediction models for cervical cancer and precancerous lesions constructed based on human DNA methylation, the NB model has good predictive performance for CIN2 and above lesions, and may be used for screening of cervical cancer and precancerous lesions.

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