1.Predictive value of aqueous humor stromal cell-derived factor-1 and epithelial neutrophil-activating peptide-78 levels for visual impairment following vitrectomy in patients with diabetic retinopathy
Man XU ; Jiamin ZHENG ; Wenjin ZHONG
International Eye Science 2026;26(3):493-498
AIM:To investigate the predictive value of aqueous humor stromal cell-derived factor-1(SDF-1)and epithelial neutrophil-activating peptide-78(ENA78)for visual impairment following vitrectomy in patients with diabetic retinopathy(DR).METHODS: Patients with DR who underwent vitrectomy in the ophthalmology department of our hospital from March 2022 to March 2024 were enrolled as study group. According to the results of uncorrected visual acuity examination during the 1-year follow-up after surgery, they were further divided into visual impairment group and good visual acuity group. In addition, patients with cataracts who were treated in our hospital during the same period were recruited as control group. The levels of SDF-1 and ENA78 in aqueous humor were detected by enzyme-linked immunosorbent assay(ELISA). Pearson correlation analysis was used to evaluate the correlation of indicators. Multivariate Logistic regression analysis was performed to identify the influencing factors of postoperative visual impairment in DR patients. Relative risk analysis was conducted to assess the impact of different aqueous humor SDF-1 and ENA78 levels on postoperative visual impairment in DR patients. Receiver operating characteristic(ROC)curve analysis was applied to determine the predictive value of aqueous humor SDF-1 and ENA78 levels for postoperative visual impairment in DR patients.RESULTS: Totally 156 cases(156 eyes)were enrolled in the study group, including 87 males and 69 females, with a mean age of 60.65±8.91 years old; and 91 cases(91 eyes)were enrolled in the control group, including 53 males and 38 females, with a mean age of 58.72±8.43 years old. The levels of SDF-1 and ENA78 in aqueous humor of the study group were significantly higher than those of the control group(P<0.001). According to the results of uncorrected visual acuity during the 1-year follow-up after surgery, the study group was further divided into the visual impairment group(n=49)and the good visual acuity group(n=107), including 28 males and 21 females in the visual impairment group, with a mean age of 63.73±7.41 years, and 59 males and 48 females in the good visual acuity group, with a mean age of 59.24±8.47 years. The age and glycated hemoglobin(HbA1c)levels of the visual impairment group were higher than those of the good visual acuity group(all P<0.05). Compared with the good visual acuity group, the levels of SDF-1 and ENA78 in aqueous humor of the visual impairment group were significantly elevated(all P<0.05). A positive correlation was found in the study group between the levels of SDF-1, ENA78 in aqueous humor and HbA1c(r=0.314, 0.362, all P<0.05). Elevated levels of aqueous humor SDF-1(OR=2.936, 95% CI: 1.628-5.296)and ENA78(OR=3.092, 95% CI: 1.738-5.502)were identified as risk factors for postoperative visual impairment in DR patients(all P<0.05). High levels of SDF-1 and ENA78 increased the risk of postoperative visual impairment by 1.958-fold and 2.030-fold compared with the low-level groups, respectively; the area under the curve(AUC)of combined detection of aqueous humor SDF-1 and ENA78 for predicting postoperative visual impairment in DR patients was 0.936, which was superior to the predictive value of SDF-1 or ENA78 alone(Zcombination-SDF-1=2.850, Zcombination-ENA78=2.445, all P<0.05).CONCLUSION: Elevated levels of aqueous humor SDF-1 and ENA78 are risk factors for postoperative visual impairment in DR patients, and the combined detection of SDF-1 and ENA78 has high clinical application value for predicting postoperative visual impairment in DR patients.
2.Self-determination experience in home-based exercise rehabilitation of stroke patients:a qualitative meta-synthesis
Jie XU ; Qing WANG ; Jianing SHAO ; Wenjin XU ; Yuting DAI ; Kangling JI
Chinese Journal of Nursing 2025;60(1):121-128
Objective To systematically evaluate and integrate real experience and feelings of self-determination in home-based exercise rehabilitation of stroke patients.Methods We searched databases including PubMed,Embase,Web of Science,Cochrane Library,CINAHL,CNKI,Wanfang,VIP,Sinomed.The literature of qualitative research on self-determination experience in home-based exercise rehabilitation of stroke patients from the establishment of the database to February 2024 was retrieved.The literature was evaluated using the Australian JBI Quality Evaluation Criteria for Qualitative Research in Evidence-based Health Care Centers(2016),and the results were consolidated using an aggregative integration approach.Results A total of 23 theme were extracted,and 10 new categories were formed after induction and integration,which were finally merged into 3 integrated results,including multiple dilemmas in rehabilitation self-determination,motivation transformation during self-determination,strategies to achieve self-determination.Conclusion During the process of home-based exercise rehabilitation for stroke patients,medical personnel should pay attention to patients'determination dilemma,motivation changes and related strategies they adopt.Targeted decision-making programs should be developed for stroke patients,aiming for the scientific and precise advancement of exercise rehabilitation.
3.Preoperative Planning of Curved Periacetabular Osteotomy by Biomechanical Changes in the Lumbar Spine
Shisen XU ; Ning LU ; Ping XU ; Wenjin LI
Journal of Medical Biomechanics 2025;40(1):80-85
Objective The stress distribution of the lumbar spine L1-5,fibrous rings and nucleus pulposus of the patient in mid-phase of single-leg support under slow-walking gait was studied,to determine the optimal correction angle of the osteotomy block in curved periacetabular osteotomy(CPO),and provide an individualized plan for clinical surgery.Methods The femur-pelvis-lumbar spine DICOM data of a patient and a healthy volunteer were obtained using CT scanning to construct a three-dimensional finite element model.The cortical bone,cancellous bone,and cartilages were delineated using the modeling software,and the model was analyzed by finite element method using simulation software.The patient's lateral center edge angle(LCEA)and anterior center edge angle(ACEA)were 15°,and 16 different postoperative models(LCEA=15°,25°,35°,45° and ACEA=15°,25°,35°,45°)were obtained by computer simulation of the surgical osteotomy process.The stress differences in the regions of interest of the model were compared and analyzed,which were also compared with those of patient before surgery and the healthy volunteer,so as to obtain the optimal surgical plan.Results The stresses applied to the lumbar spine decreased with increasing LCEA and ACEA angles,with the lowest stresses applied to the lumbar cones,nucleus pulposus,and annulus fibrosus in the LCEA=35°,ACEA=35° models;then,the stresses applied increased with increasing angles.Conclusions The optimal correction angle for LCEA and ACEA can be obtained using the finite element method,and this method is of great significance to improve the accuracy and efficiency of CPO for different patients.
4.Surveillance and evaluation of vector control in Fuyang District, Hangzhou for the 19th Asian Games
Jie XU ; Wenjin PAN ; Renyu TANG ; Liqun DU
Shanghai Journal of Preventive Medicine 2025;37(2):114-119
ObjectiveTo assess the risk of vector-born infectious diseases by monitoring the major vectors in the relevant venues of the 19th Hangzhou Asian Games in Fuyang competition area, so as to provide references for the prevention and control of vector in similar large-scale events or activities in the future. MethodsFrom April to October 2023, monitoring and evaluation of rodent, mosquito, fly and cockroach density levels were carried out in various venues and reception hotels in Fuyang competition area (venues and hotels were the 1st circle area, and various environments and places in the surrounding 500 meters were the 2nd circle area). SPSS 25.0 software was used to analyze the data, and chi-square test or Fisher’s precision probability test were used to calculate the qualified rate and positive rate. Moreover, the path index, landing index and Bretrau index were analyzed by Kruskal-Wallis H test. ResultsThe control effect of vector density in the 1st circle was significantly better than that in the 2nd circle. Since September, the monitoring indices of the venues in the two circles had reached the national A-level and B-level standard, respectively. The positive rate of rodent traces generally showed a trend of first increasing and then decreasing, and the peak was shown to occur in July and August, with the highest rate of 5.38%. The qualified rate of rodent prevention facilities continued to rise, and facilities in the 1st and 2nd circles had reached national A-level and B-level standard respectively in late August. The landing index and path index of mosquitoes basically showed a changing trend from high to low, with the highest landing index of 4.56 individuals·person-time-1 and the highest path index of 2.44 places·km-1.The adult fly infestation rate remained at a low level, with the highest rate of 4.17%, and the minimum qualified rate of fly prevention facilities was 28.57%, which reached the national standard after July. The positive detection rates of adult flies and cockroach traces showed no significant pattern, with the highest rate of 7.00% and 8.33%, respectively. The detection rate of live ootheca was always at a low level. ConclusionThe relevant venues in the Fuyang competition area of the 19th Asian Games in Hangzhou meet national standards in terms of vector control indicators such as rodents, mosquitoes, flies, cockroaches and other vectors. By means of environmental improvement, facilities for preventing rodents and flies, and deepening biological and chemical prevention and control methods, it can be ensured that there will be no vector-borne diseases and infestation incidents during the event.
5.Clinical characteristics and influencing factors of cognitive impairment in non-dialysis patients with chronic kidney disease
Hongxia LI ; Xia XU ; Jie JIANG ; Mengxue JIA ; Wenjin LIU ; Zhe HAN ; Yushuang LIU ; Yijiao ZHU ; Dafeng HE ; Chunlei LU ; Mengyue ZHU ; Hongbin MOU ; Guangyu BI ; Rong WANG
Journal of Clinical Medicine in Practice 2025;29(11):1-6,13
Objective To explore the influencing factors of cognitive impairment in non-dialysis patients with chronic kidney disease(CKD).Methods A total of 60 hospitalized non-dialysis patients with CKD in the Department of Nephrology of Northern Jiangsu People's Hospital Affiliated to Yangzhou University from September 2022 to September 2023 were enrolled as research objects.According to the estimated glomerular filtration rate(eGFR),they were divided into stage 1 to 2 of CKD group[eGFR ≥60 mL/(min·1.73 m2)]with 23 cases,the stage 3 of CKD group[eGFR 30~<60 mL/(min·1.73 m2)]with 20 cases,and stage 4 to 5 of CKD group[eGFR<30 mL/(min·1.73 m2)]with 17 cases.The Montreal Cognitive Assessment Scale(MoCA)was used to evaluate the cognitive function of the patients.Basic data and common clinical laboratory in-dicators on hospital admission were collected to analyze the differences in cognitive function levels under different renal function statuses and to explore the influencing factors of cognitive impairment.Results The incidence rates of cognitive impairment in the stage 1 to 2 of CKD group,stage 3 of CKD group,and stage 4 to 5 of CKD group were 47.8%,85.0%,and 94.1%respectively,the median MoCA scored 26,24 and 20 respectively,with statistically significant between-group differ-ences(P<0.05).Cognitive function was significantly negatively correlated with age(r=-0.634,P<0.001),blood urea nitrogen(BUN)(r=-0.574,P<0.001),serum creatinine(Cr)(r=-0.417,P<0.001),cystatin C(Cys-C)(r=-0.327,P=0.011),serum β2-microglobulin(β2-MG)(r=-0.259,P=0.046),and N-terminal pro-brain natriuretic peptide(NT-proBNP)(r=-0.474,P<0.001),and was significantly positively correlated with hemoglobin(HB)(r=0.401,P=0.001)and eGFR(r=0.485,P<0.001).Multivariate Logistic regression analysis showed that age(P=0.006)and NT-proBNP(P=0.041)were influencing factors of cognitive im-pairment in non-dialysis patients with CKD.Receiver operating characteristic(ROC)curve analysis showed that the area under the curve(AUC),sensitivity,and specificity of age for prediction were 0.860,0.864 and 0.812 respectively,the AUC,sensitivity,and specificity of NT-proBNP for pre-diction were 0.808,0.795 and 0.875 respectively,and the combined prediction of age and NT-proBNP had an AUC,sensitivity,and specificity of 0.893,0.955,and 0.750,respectively.Conclusion As renal function deteriorates,the incidence rate and severity of cognitive impairment in non-dialysis patients with CKD tend to increase.Advanced age,renal function deterioration,high NT-proBNP level,and anemia are associated with the occurrence of cognitive impairment in non-di-alysis patients with CKD,among which age and NT-proBNP are influencing factors for cognitive im-pairment.
6.Values of varied anthropometric indicators in assessing body fat content in patients with chronic kidney disease
Jie JIANG ; Mengxue JIA ; Guangyu BI ; Daoliang XU ; Wenjin LIU
Journal of Clinical Medicine in Practice 2025;29(11):7-13
Objective To evaluate the predictive value of different anthropometric indices in as-sessing body fat content in patients with chronic kidney disease(CKD).Methods Bioelectrical im-pedance analysis was used to measure body fat percentage and visceral fat area in 279 non-dialysis CKD patients.Height and body mass were measured to calculate body mass index(BMI).Waist and hip circumferences were measured to calculate waist-to-hip ratio.Skinfold thickness(triceps skinfold thickness and subscapular skinfold thickness)was also measured.Pearson correlation analysis was employed to explore the correlations between anthropometric indices and body fat percentage as well as visceral fat area.Receiver operating characteristic(ROC)curves were plotted,and the DeLong test was conducted to compare the differences in the area under the curve(AUC)of the ROC curves.Results Pearson correlation analysis revealed significant correlations between body fat percentage and BMI(r=0.419,P<0.001),hip circumference(r=0.450,P<0.001),triceps skinfold thickness(r=0.229,P<0.001),and subscapular skinfold thickness(r=0.324,P<0.001).Significant correlations were also observed between visceral fat area and BMI(r=0.658,P<0.001),hip circumference(r=0.648,P<0.001),triceps skinfold thickness(r=0.194,P=0.001),and subscapular skinfold thickness(r=0.333,P<0.001).ROC curve analysis demonstrated that the triceps skinfold thickness had the largest AUC value(0.732)for diagnosing obesity in CKD patients,with a sensitivity of 62.1%and specificity of 78.8%,indicating a moderate diagnostic performance.BMI and hip circumference had AUC values of 0.806 and 0.804,respectively,for as-sessing visceral obesity in CKD patients,showing good diagnostic performance.In contrast,the waist-to-hip ratio exhibited poor diagnostic value for both overall obesity and visceral obesity.Conclusion Measuring BMI and hip circumference is valuable for diagnosing visceral fat accumula-tion in CKD patients.However,when assessing overall obesity in CKD patients,multiple anthropo-metric indices should be combined for comprehensive evaluation.Additionally,our results indicate that different anthropometric indices have varying diagnostic values for different types of obesity,ne-cessitating appropriate selection based on actual circumstances.
7.Mechanistic study of metformin-mediated modulation of cellular senescence and radiosensitivity in pancreatic cancer
Wenjin Xu ; Yuxin Xie ; Xinyue Lin ; Xin Wang ; Wei Jiang ; Shijie Wei ; Qiang Liu ; Xiang Liao
Acta Universitatis Medicinalis Anhui 2025;60(7):1282-1290
Objective:
To study the effect of metformin sensitizing pancreatic cancer cells with radiotherapy, with a focus on elucidating the underlying mechanisms of radiotherapy resistance. In particular, the role of the PERK/P-eIF2/ATF4 signaling pathway in mediating these effects was preliminarily explored.
Methods :
Pancreatic cancer cell lines(PANC-1 and PANC-2) were categorized into control, radiotherapy, and drug treatment groups. Following the respective treatments, cell proliferation inhibition was assessed using the CCK-8 assay, colony formation assays, and cell death staining. Senescence was quantified by β-galactosidase(SA-β-Gal) staining. The expression of cell cycle regulators(P21, P16, γ-H2AX), apoptosis markers(Bax, Bcl-2, Cleaved caspase-3), and pathway-related proteins(PERK, P-eIF2, ATF4) was evaluated by Western blot and immunofluorescence. To further investigate the role of the PERK/P-eIF2/ATF4 axis in metformin-mediated modulation of pancreatic cancer cell senescence and radiosensitization, selective inhibitors(GSK2606414) and agonists(MK-28) of PERK were employed.
Results :
Radiotherapy markedly upregulated senescence-associated markers(P21, P16, γ-H2AX, and β-galactosidase activity) in pancreatic cancer cells. Senescent cells exhibited enhanced proliferative activity and increased tumor volume both in vitro and in vivo. Metformin mitigated radiotherapy-induced senescence by reducing the expression of senescence markers and significantly suppressing the clonogenic and proliferative capacity of treated cells. Mechanistically, radiotherapy activated the PERK signaling pathway, leading to increased expression of PERK, P-eIF2, and ATF4, thereby driving cellular senescence. Pharmacological inhibition of PERK reduced β-galactosidase activity, while PERK activation further promoted the expression of senescence-associated proteins—an effect that was reversed by metformin.
Conclusion
Metformin inhibits the activation of the PERK/P-eIF2/ATF4 signaling pathway in pancreatic cancer cells following radiotherapy, thereby delaying cellular senescence and reducing the associated radiotherapy resistance of senescent cells. This modulation contributes to the sensitization of pancreatic cancer cells to radiotherapy.
8.Expert consensus on visualized tele-round and quality control management based on the improvement of clinical practice ability
Wanhong YIN ; Xiaoting WANG ; Ran ZHOU ; Dawei LIU ; Yan KANG ; Yaoqing TANG ; Xiaochun MA ; Jianguo LI ; Zhenjie HU ; Haitao ZHANG ; Wei HE ; Lixia LIU ; Wenjin CHEN ; Ran ZHU ; Jun WU ; Hongmin ZHANG ; Lina ZHANG ; Wenzhao CHAI ; Shihong ZHU ; Wangbin XU ; Rongqing SUN ; Xiangyou YU ; Tianjiao SONG ; Ying ZHU ; Hong REN ; Ai SHANMU ; Qing ZHANG ; Wei FANG ; Xiuling SHANG ; Liwen LYU ; Shuhan CAI ; Xin DING ; Heng ZHANG ; Guang FENG ; Lipeng ZHANG ; Bo HU ; Dong ZHANG ; Weidong WU ; Feng SHEN ; Xiaojun YANG ; Zhenguo ZENG ; Qibing HUANG ; Xueying ZENG ; Tongjuan ZOU ; Milin PENG ; Yulong YAO ; Mingming CHEN ; Hui LIAN ; Jingmei WANG ; Yong LI ; Feng QU ; Gang YE ; Rongli YANG ; Xiukai CHEN ; Suwei LI ; Juxiang WANG ; Yangong CHAO
Chinese Journal of Internal Medicine 2025;64(2):101-109
Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.
9.Development and validation of a prediction model for medication adherence in patients receiving allergen sublingual immunotherapy
Wenjin WAN ; Qin XU ; Zijun GU ; Qian LYU ; Meiping LU ; Song LI ; Lei CHENG
Chinese Journal of Preventive Medicine 2025;59(6):814-824
Objective:To develop and validate a prediction model for medication adherence among patients receiving allergen sublingual immunotherapy (SLIT).Methods:A prospective cross-sectional study was conducted, and a total of 288 patients who received SLIT treatment at an allergy center in the First Affiliated Hospital with Nanjing Medical University (Jiangsu Province Hospital) from December 2023 to July 2024 were assigned to the modeling group. Additionally, 122 patients from August to October 2024 were assigned to the validation group. Data of patients′ general information, medication beliefs, anxiety levels, social support, disease perception, and medication adherence were collected. Single-factor analysis and LASSO regression were utilized to identify potential predictors, and a prediction model for medication adherence was constructed using multifactorial logistic regression. A nomogram was then developed based on the model. The model′s discriminatory ability was evaluated using receiver operating characteristic curve (ROC), the area under curve (AUC), sensitivity, and specificity. The model was then validated in the validation cohort.Results:Single-factor analysis and LASSO regression identified a total of nine predictive factors. Logistic regression revealed that medical belief tendency [ OR (95% CI) =2.420 (1.116-5.248), P=0.025], the somatic control dimension in self-rating anxiety scales [ OR (95% CI)=1.404 (1.241-1.589), P<0.001], the subjective support dimension in social support assessment [ OR (95% CI)=0.784 (0.725-0.847), P<0.001], and the cognitive dimension in illness perception [ OR (95% CI)=0.725 (0.647-0.813), P<0.001] were independent predictors of medication adherence in patients undergoing SLIT. The AUC value of the model was 0.899 (95% CI=0.863-0.934) in the modeling group and 0.882 (95% CI=0.820-0.944) in the validation group, indicating good discriminatory ability. The optimal cutoff value of the model was 0.493, with a sensitivity of 81.1% and specificity of 85.7% in the modeling group, and a sensitivity of 87.3% and specificity of 82.5% in the validation group. Conclusion:The medication adherence prediction model developed in this study for patients undergoing SLIT exhibits good predictive performance and provides valuable guidance for early intervention by clinical healthcare professionals.
10.Development and validation of a prediction model for medication adherence in patients receiving allergen sublingual immunotherapy
Wenjin WAN ; Qin XU ; Zijun GU ; Qian LYU ; Meiping LU ; Song LI ; Lei CHENG
Chinese Journal of Preventive Medicine 2025;59(6):814-824
Objective:To develop and validate a prediction model for medication adherence among patients receiving allergen sublingual immunotherapy (SLIT).Methods:A prospective cross-sectional study was conducted, and a total of 288 patients who received SLIT treatment at an allergy center in the First Affiliated Hospital with Nanjing Medical University (Jiangsu Province Hospital) from December 2023 to July 2024 were assigned to the modeling group. Additionally, 122 patients from August to October 2024 were assigned to the validation group. Data of patients′ general information, medication beliefs, anxiety levels, social support, disease perception, and medication adherence were collected. Single-factor analysis and LASSO regression were utilized to identify potential predictors, and a prediction model for medication adherence was constructed using multifactorial logistic regression. A nomogram was then developed based on the model. The model′s discriminatory ability was evaluated using receiver operating characteristic curve (ROC), the area under curve (AUC), sensitivity, and specificity. The model was then validated in the validation cohort.Results:Single-factor analysis and LASSO regression identified a total of nine predictive factors. Logistic regression revealed that medical belief tendency [ OR (95% CI) =2.420 (1.116-5.248), P=0.025], the somatic control dimension in self-rating anxiety scales [ OR (95% CI)=1.404 (1.241-1.589), P<0.001], the subjective support dimension in social support assessment [ OR (95% CI)=0.784 (0.725-0.847), P<0.001], and the cognitive dimension in illness perception [ OR (95% CI)=0.725 (0.647-0.813), P<0.001] were independent predictors of medication adherence in patients undergoing SLIT. The AUC value of the model was 0.899 (95% CI=0.863-0.934) in the modeling group and 0.882 (95% CI=0.820-0.944) in the validation group, indicating good discriminatory ability. The optimal cutoff value of the model was 0.493, with a sensitivity of 81.1% and specificity of 85.7% in the modeling group, and a sensitivity of 87.3% and specificity of 82.5% in the validation group. Conclusion:The medication adherence prediction model developed in this study for patients undergoing SLIT exhibits good predictive performance and provides valuable guidance for early intervention by clinical healthcare professionals.


Result Analysis
Print
Save
E-mail