1.Developing a polygenic risk score for pelvic organ prolapse: a combined risk assessment approach in Chinese women.
Xi CHENG ; Lei LI ; Xijuan LIN ; Na CHEN ; Xudong LIU ; Yaqian LI ; Zhaoai LI ; Jian GONG ; Qing LIU ; Yuling WANG ; Juntao WANG ; Zhijun XIA ; Yongxian LU ; Hangmei JIN ; Xiaowei ZHANG ; Luwen WANG ; Juan CHEN ; Guorong FAN ; Shan DENG ; Sen ZHAO ; Lan ZHU
Frontiers of Medicine 2025;19(4):665-674
Pelvic organ prolapse (POP), whose etiology is influenced by genetic and clinical risk factors, considerably impacts women's quality of life. However, the genetic underpinnings in non-European populations and comprehensive risk models integrating genetic and clinical factors remain underexplored. This study constructed the first polygenic risk score (PRS) for POP in the Chinese population by utilizing 20 disease-associated variants from the largest existing genome-wide association study. We analyzed a discovery cohort of 576 cases and 623 controls and a validation cohort of 264 cases and 200 controls. Results showed that the case group exhibited a significantly higher PRS than the control group. Moreover, the odds ratio of the top 10% risk group was 2.6 times higher than that of the bottom 10%. A high PRS was significantly correlated with POP occurrence in women older than 50 years old and in those with one or no childbirths. As far as we know, the integrated prediction model, which combined PRS and clinical risk factors, demonstrated better predictive accuracy than other existing PRS models. This combined risk assessment model serves as a robust tool for POP risk prediction and stratification, thereby offering insights into individualized preventive measures and treatment strategies in future clinical practice.
Humans
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Female
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Pelvic Organ Prolapse/epidemiology*
;
Middle Aged
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Risk Assessment/methods*
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China/epidemiology*
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Multifactorial Inheritance
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Aged
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Risk Factors
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Genome-Wide Association Study
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Genetic Predisposition to Disease
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Case-Control Studies
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Adult
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Polymorphism, Single Nucleotide
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Genetic Risk Score
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East Asian People
2.Azaphilone derivatives with RANKL-induced osteoclastogenesis inhibition from the mangrove endophytic fungus Diaporthe sp.
Miaoping LIN ; Yanhui TAN ; Humu LU ; Yuyao FENG ; Min LI ; Chenghai GAO ; Yonghong LIU ; Xiaowei LUO
Chinese Journal of Natural Medicines (English Ed.) 2025;23(9):1143-1152
This study identified six novel azaphilones, isochromophilones G-L (1-6), and three novel biosynthetically related congeners (7-9) from Diaporthe sp. SCSIO 41011. The structures and absolute configurations were elucidated through comprehensive spectroscopic analyses combined with experimental and calculated electronic circular dichroism (ECD) spectra. Significantly, three highly oxygenated azaphilones contain an acetyl group at the terminal chain (4) or linear conjugated polyenoid moieties (5 and 6), which occur infrequently in the azaphilone family. Additionally, several compounds demonstrated inhibition of lipopolysaccharide (LPS)-induced nuclear factor kappa-B (NF-κB) activation in RAW 264.7 macrophages at 20 μmol·L-1. The novel compound (1) effectively inhibited receptor activator of NF-κB ligand (RANKL)-induced osteoclast differentiation without exhibiting cytotoxicity in bone marrow and RAW 264.7 macrophages, indicating its potential as a promising lead compound for osteolytic disease treatment. This research presents the first documented evidence of azaphilone derivatives as inhibitors of RANKL-induced osteoclastogenesis.
Animals
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Mice
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RANK Ligand/genetics*
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RAW 264.7 Cells
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Osteoclasts/metabolism*
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Benzopyrans/isolation & purification*
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Osteogenesis/drug effects*
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Macrophages/metabolism*
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Molecular Structure
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Pigments, Biological/isolation & purification*
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Ascomycota/chemistry*
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NF-kappa B/genetics*
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Cell Differentiation/drug effects*
3.Ameliorative effect of total flavonoids from corn silk on urate nephropathy in rats and its mechanism
Jing LU ; Mengmeng LIU ; Yuewei HAN ; Xiaowei HUANG ; Yuchen WANG ; He LIN ; Tianzhu ZHANG ; Zhe LIN ; Guangfu LYU
Journal of Jilin University(Medicine Edition) 2025;51(4):929-938
Objective:To discuss the ameliorative effect of total flavonoids from corn silk(TFCS)on kidney injury in the rats with urate nephropathy,and to clarify the possible mechanism.Methods:Sixty male Wistar rats were randomly divided into control group,model group,positive control group[benzbromarone(BZM)group,5 mg·kg-1·d-1],low dose of TFCS group(20 mg·kg-1·d-1),medium dose of TFCS group(40 mg·kg-1·d-1),and high dose of TFCS group(80 mg·kg-1·d-1),and there were 10 rats in each group.Except for control group,the rats in the other groups were administered potassium oxonate(350 mg·kg-1)and adenine(70 mg·kg-1)by gavage for 4 weeks to establish the hyperuricemic nephropthy models.The rats in different doses of TFCS groups were treated with TFCS for 2 weeks.Speckle blood flow imager was used to detect the renal blood perfusion of the rats in various groups and the kidney coefficients of the rats in various groups were caculated;HE staining and Masson staining were used to observe the pathomorphology and fibrosis degrees of kidney tissue of the rats in various groups and enzyme-linked immunosorbent assay(ELISA)method was used to detect the levels of uric acid(UA),creatinine(Cr),blood urea nitrogen(BUN),interleukin-6(IL-6),and tumor necrosis factor-α(TNF-α)in the serum and levels of β2-microglobulin(β2-MG)and microalbumin(ALB)in the urine of the rats in various groups;Western blotting method was used to detect the expression levels of urate transporter 1(URAT1),glucose transporter 9(GLUT9),and ATP-binding cassette transporter G2(ABCG2)proteins in kidney tissue of the rats in various groups.Results:Compared with control group,the renal blood perfusion volume of the rats in model group was significantly decreased(P<0.01).Compared with model group,the renal blood perfusion volumes of the rats in BZM group and low,medium,and high doses of TFCS groups were significantly increased(P<0.05 or P<0.01).Compared with control group,the kidney weight of the rats in model group was increased,with visible white granular spots on the surface,absence of blood color,and kidney volume was increased.Compared with model group,the kidney volumes of the rats in BZM group and medium and high doses of TFCS groups were decreased,with color tending toward that in control group,and the white granular spots on the surface were significantly reduced.Compared with model group,the kidney coefficients of the rats in BZM group and medium and high doses of TFCS groups were decreased(P<0.01).The HE staining results showed there were no abnormalities in kidney tissue structure in control group,while there were a small amount of brown-yellow urate crystal deposition and interstitial connective tissue hyperplasia in model group;compared with model group,the kidney tissue damage and inflammatory infiltration were alleviated to varying degrees in BZM group and different doses of TFCS groups.The Masson staining results revealed no obvious collagen fiber deposition in control group,whereas significant blue collagen fiber deposition in kidney tissue of the rats was found in model group,and the collagen volume fraction(CVF)was increased compared with control group(P<0.01);compared with model group,the CVFs of the rats in BZM group and different doses of TFCS groups were decreased(P<0.01).The ELISA results showed that compared with control group,the levels of UA,Cr,BUN,IL-6,and TNF-α in serum of the rats in model group were increased(P<0.01);compared with model group,the levels of UA,Cr,BUN,IL-6,and TNF-α in serum of the rats in BZM group and medium and high doses of TFCS groups were decreased(P<0.01).Compared with control group,the levels of β2-MG and ALB in urinary in model group were increased(P<0.01);compared with model group,the levels of β2-MG and ALB in urinary of the rats in different doses of TFCS groups were decreased(P<0.05 or P<0.01).The Western blotting results showed that compared with control group,the expression levels of URAT1 and GLUT9 proteins in kidney tissue of the rats in BZM group and model group were increased(P<0.01),while the expression level of ABCG2 protein was decreased(P<0.01).Compared with model group,the expression levels of URAT1 and GLUT9 proteins in kidney tissue of the rats in different doses of TFCS groups were decreased(P<0.05 or P<0.01),and the expression level of ABCG2 protein was increased(P<0.01).Conclusion:TFCS can significantly alleviate the kidney injury in the rats with urate nephropathy model,and its mechanism may be related to the downregulation of expression of URAT1 and GLUT9 proteins and upregulation of ABCG2 protein expression in kidney tissue.
4.Role and molecular mechanism of insulin-like growth factor 2 mRNA-binding protein 3 in pathogenesis of preeclampsia
Ling ZHAO ; Shasha LIN ; Xiaowei ZHANG ; Wenbai ZHOU
Journal of Clinical Medicine in Practice 2025;29(15):92-100
Objective To investigate the role and potential molecular mechanisms of insulin-like growth factor 2 mRNA-binding protein 3(IGF2BP3)in preeclampsia(PE).Methods The expres-sion of IGF2BP3 in placental tissues from patients with PE was detected using quantitative reverse transcription polymerase chain reaction.IGF2BP3 was knocked down via RNA interference technology to evaluate its effects on the proliferation,invasion,apoptosis and cell cycle of HTR-8/SVneo and JEG-3 trophoblast cell lines.Transcriptome sequencing was employed to analyze changes in cellular biological functions and the stability of the potential downstream molecule circPAPPA following IGF2BP3 interference.RNA binding protein immunoprecipitation(RIP)and fluorescence in situ hy-bridization(FISH)were utilized to validate the direct targeting relationship between IGF2BP3 and circPAPPA.Results IGF2BP3 was significantly downregulated in PE placentas.Knockdown of IGF2BP3 inhibited trophoblast cell proliferation and invasion,promoted cell apoptosis and cellcycle arrest.Functional enrichment analysis revealed that IGF2BP3 was involved in invasion and hypoxia response,regulating signaling pathways such as phosphatidylinositol-3-kinase(PI3K),mitogen-activated protein kinase(MAPK)and hypoxia-inducible factor-1(HIF-1).Knockdown of IGF2BP3 led to a reduction in circPAPPA stability,and RIP and FISH experiments confirmed the direct targeting rela-tionship between IGF2BP3 and circPAPPA.Conclusion IGF2BP3 is downregulated in PE and reg-ulates the stability of circPAPPA in an N6-adenosine methylation(m6A)-dependent manner,there-by affecting trophoblast cell function.
5.Development of a prediction model for incidence of diabetic foot in patients with type 2 diabetes and its application based on a local health data platform
Yexian YU ; Meng ZHANG ; Xiaowei CHEN ; Lijia LIU ; Pei LI ; Houyu ZHAO ; Yexiang SUN ; Hongyu SUN ; Yumei SUN ; Xueyang LIU ; Hongbo LIN ; Peng SHEN ; Siyan ZHAN ; Feng SUN
Chinese Journal of Epidemiology 2024;45(7):997-1006
Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.
6.Development and application of a prediction model for incidence of diabetic retinopathy in newly diagnosed type 2 diabetic patients based on regional health data platform
Xiaowei CHEN ; Lijia LIU ; Yexian YU ; Meng ZHANG ; Pei LI ; Houyu ZHAO ; Yexiang SUN ; Hongyu SUN ; Yumei SUN ; Xueyang LIU ; Hongbo LIN ; Peng SHEN ; Siyan ZHAN ; Feng SUN
Chinese Journal of Epidemiology 2024;45(9):1283-1290
Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.
7.Development of a prediction model for the incidence of type 2 diabetic kidney disease and its application based on a regional health data platform
Lijia LIU ; Xiaowei CHEN ; Yexian YU ; Meng ZHANG ; Pei LI ; Houyu ZHAO ; Yexiang SUN ; Hongyu SUN ; Yumei SUN ; Xueyang LIU ; Hongbo LIN ; Peng SHEN ; Siyan ZHAN ; Feng SUN
Chinese Journal of Epidemiology 2024;45(10):1426-1432
Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.
8.Analysis of risk factors of pleural effusion after spinal separation
Keyi WANG ; Hao QU ; Wen WANG ; Zhaonong YAO ; Xiaowei ZHOU ; Yuhong YAO ; Hengyuan LI ; Peng LIN ; Xiumao LI ; Xiaobo YAN ; Meng LIU ; Xin HUANG ; Nong LIN ; Zhaoming YE
Chinese Journal of Orthopaedics 2024;44(3):169-176
Objective:To investigate the risk factors of pleural effusion after spinal separation surgery for patients with spinal metastatic tumors.Methods:A total of 427 patients with spinal metastatic tumors from January 2014 to January 2022 in the Second Affiliated Hospital of Zhejiang University School of Medicine were retrospectively analyzed. There were 252 males and 175 females, with an average age of 59±12 years (range, 15-87 years). All patients underwent separation surgery. Based on the chest CT within 1 month after surgery, the volume of pleural effusion was measured individually by reconstruction software. Pleural effusion was defined as small volume (0-500 ml), moderate volume (500-1 000 ml), and large volume (above 1 000 ml). Baseline data and perioperative clinical outcomes were compared between the groups, and indicators with statistically significant differences were included in a binary logistic regression analysis to determine the independent risk factors for the development of pleural effusion after isolation of spinal metastatic cancer. Receiver operating characteristic (ROC) curves were conducted to calculate the area under the curve (AUC) for each independent risk factor.Results:All patients successfully completed the operation. Among the 427 patients, there were 35 cases of large pleural effusion, 42 cases of moderate pleural effusion, and 350 cases of small pleural effusion. There were significant differences in tumor size (χ 2=9.485, P=0.013), intraoperative blood loss ( Z=-2.503, P=0.011), blood transfusion ( Z=-2.983, P=0.003), preoperative total protein ( Z=2.681, P=0.007), preoperative albumin ( Z=1.720, P= 0.085), postoperative hemoglobin ( t=2.950, P=0.008), postoperative total protein ( Z=4.192, P<0.001), and postoperative albumin ( t=2.268, P=0.032) in the large pleural effusion group versus the small and moderate pleural effusion group. Logistic regression analysis showed that decreased preoperative albumin ( OR=0.89, P=0.045) and metastases located in the thoracic spine ( OR=4.01, P=0.039) were independent risk factors for the occurrence of large pleural effusion after separation surgery. The ROC curve showed that the AUC and 95% CI for preoperative albumin, lesion location, and the combined model were 0.637 (0.54, 0.74), 0.421 (0.36, 0.48), and 0.883 (0.81, 0.92). The combined predictive model showed good predictive value. Conclusion:The volume of pleural effusion can be measured individually and quantitatively based on chest CT. Decreased preoperative albumin and metastases located in the thoracic spine are independent risk factors for the occurrence of large pleural effusion after separation surgery. The combined prediction of the two factors has better predictive efficacy.
9.Study on the effect of control scan method in precise CT localization scan on patients with head and neck tumors
Jieying ZHUANG ; Min WANG ; Feiyue SHI ; Lin FU ; Lili CHEN ; Fei CHEN ; Xiaowei WEI
China Medical Equipment 2024;21(3):8-11,18
Objective:To study the position of computed tomography(CT)slice of marker points of radiotherapy,which was determined by control scan(CS)method,on the application effect of patients with head and neck tumors who received radiotherapy.Methods:Based on Control Scan(CS)method,a calculator program of mark-point slice position was made,which was an enterprise WeChat program that could be used in calculating position and CT position scan of patients with head and neck tumor(slice thickness was 3mm).A total of 60 patients with head and neck tumor were selected,and the patients who underwent CT positioning scan by using CS method were divided into observation group,and patients who underwent CT position scan by using conventional method were divided into control group,with 30 cases in each group.The number of cases with three metal marker points displayed at the same slice,and the number of slices containing the CT images of marker point between the located CT scan were compared.Results:The number of patients in the observation group and the control group who showed three markers at the same level at the same time were respectively 26 cases and 13 cases,and observation group increased by 13 cases(43.4%)than control group,and the difference was significant(x2=12.382,P<0.05).The number of CT images with only 1 slice of observation group and control group were respectively 4 cases and 0 cases,which increased by 4 cases(13.3%)than the control group,and the difference was significant(x2=2.411,P<0.05).Conclusions:The CT localization scan of radiotherapy,which uses CS to assist patients with head and neck tumor,can precisely calculate and obtain the primary position of target of CT localization scan.It can take the images of 3 mental marker points of patient who receives radiotherapy to occur at the same CT slice as soon as possible,which has better application effect.It can effectively improve the convenience and work effectiveness of radiotherapy.
10.Comparing the effects of dual-task training and single-task training on walking, balance and cognitive functions in individuals with Parkinson’s disease: A systematic review
Xiaoying LIN ; Yanming ZHANG ; Xiaowei ZHANG ; Xi CHEN ; Jianhua LIU ; Lei YANG ; Pang Marco Yiu Chung
Chinese Medical Journal 2024;137(13):1535-1543
Background::This systematic review aimed to examine whether dual-task (DT) training was superior to single-task (ST) training in improving DT walking, balance and cognitive functions for individuals with Parkinson’s disease (PD).Methods::Literature search was performed in the following electronic databases: PubMed, the Cochrane Library, Web of Science, and Metstr covering inception to May 10, 2023. And in order to facilitate comparison across trials, we calculated the effect size (Hedges’ g) of gait, balance, cognitive, and other parameters under both ST and DT conditions, using the mean change score and standard deviation (SD) of change score of the experimental and control groups. Randomized controlled trials that examined the effects of DT motor and cognitive training in individuals with Parkinson’s disease were included for this systematic review.Results::A total of 214 participants recruited from six articles (actually five trials) were involved in this review. In terms of walking ability, only double support time and stride time variability showed significant between-group difference (Hedges’ g = 0.34, 0.18, respectively). Compared to ST training group, DT training group had a more improvement effect in laboratory balance measurement (Hedges’ g = 0.18, 1.25), but no significant improvement in clinical balance measurement. No significant between-group differences were observed, thus its training effect on cognitive function was inconclusive.Conclusions::The DT training failed to achieve promising results better than ST training in improving DT walking and balance functions for individuals with PD. Any firm conclusion cannot be drawn at present, due to the limited number of eligible publications. Larger sample size and high-quality studies are needed to investigate the effectiveness of DT training in individuals with PD.

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