1.Verification for the performance of ox-LDL test kit based on ITMA
Yichuan QIN ; Yu LIU ; Yungang PU ; Jing BAI
China Medical Equipment 2025;22(8):61-66
Objective:To verify the performance of the immunoturbidimetric assay(ITMA)kit of detecting oxidized low-density lipoprotein(ox-LDL).Methods:In accordance with the requirements of China National Accreditation Service for Conformity Assessment[(CNAS)-GL037:2019
2.The efficacy and treatment-related adverse events of vedotinumab combined with programmed death-1 inhibitors in the treatment of urothelial carcinoma
Yichuan WANG ; Xiaoyu YI ; Lei YANG ; Wei YU ; Han HAO
Journal of Modern Urology 2025;30(10):828-832
Objective To evaluate the efficacy and safety of the antibody-drug conjugate(ADC)vedotinumab combined with programmed cell death protein 1(PD-1)inhibitors as neoadjuvant therapy in patients with bladder cancer.Methods This retrospective study included 54 patients with bladder cancer who underwent neoadjuvant therapy at the Department of Urology,Peking University First Hospital,between Jun.2023 and Jun.2025.Among them,26 patients received vedotinumab combined with a PD-1 inhibitors,and 28 patients received gemcitabine plus cisplatin(GC).Clinical data,pathological complete response(pCR)rates,and pathological downstaging rates were collected.Treatment-related adverse events(TRAEs)were also assessed in both groups.Results There were no statistically significant differences between the two groups in terms of age,sex,smoking history,tumor grade and stage,depth of invasion,or human epidermal growth factor receptor 2(HER2)expression,indicating good baseline comparability(P>0.05).The pCR rate in the vedotinumab plus PD-1 inhibitor group was 57.69%(15/26),significantly higher than that of the GC group at 25.00%(7/28)(P<0.05).Pathological downstaging occurred in 5 patients in either group,with no statistically significant difference(P>0.05).The main TRAEs in the vedotinumab plus PD-1 inhibitor group were peripheral sensory neuropathy and rash,and no grade 3-4 severe adverse events were observed.In contrast,the GC group predominantly experienced bone marrow suppression,with 4 cases of grade 3-4 adverse events.Conclusion Vedotinumab combined with PD-1 inhibitors demonstrated significantly superior efficacy and favorable safety compared with the conventional GC regimen as neoadjuvant therapy for bladder cancer.
3.The efficacy and treatment-related adverse events of vedotinumab combined with programmed death-1 inhibitors in the treatment of urothelial carcinoma
Yichuan WANG ; Xiaoyu YI ; Lei YANG ; Wei YU ; Han HAO
Journal of Modern Urology 2025;30(10):828-832
Objective To evaluate the efficacy and safety of the antibody-drug conjugate(ADC)vedotinumab combined with programmed cell death protein 1(PD-1)inhibitors as neoadjuvant therapy in patients with bladder cancer.Methods This retrospective study included 54 patients with bladder cancer who underwent neoadjuvant therapy at the Department of Urology,Peking University First Hospital,between Jun.2023 and Jun.2025.Among them,26 patients received vedotinumab combined with a PD-1 inhibitors,and 28 patients received gemcitabine plus cisplatin(GC).Clinical data,pathological complete response(pCR)rates,and pathological downstaging rates were collected.Treatment-related adverse events(TRAEs)were also assessed in both groups.Results There were no statistically significant differences between the two groups in terms of age,sex,smoking history,tumor grade and stage,depth of invasion,or human epidermal growth factor receptor 2(HER2)expression,indicating good baseline comparability(P>0.05).The pCR rate in the vedotinumab plus PD-1 inhibitor group was 57.69%(15/26),significantly higher than that of the GC group at 25.00%(7/28)(P<0.05).Pathological downstaging occurred in 5 patients in either group,with no statistically significant difference(P>0.05).The main TRAEs in the vedotinumab plus PD-1 inhibitor group were peripheral sensory neuropathy and rash,and no grade 3-4 severe adverse events were observed.In contrast,the GC group predominantly experienced bone marrow suppression,with 4 cases of grade 3-4 adverse events.Conclusion Vedotinumab combined with PD-1 inhibitors demonstrated significantly superior efficacy and favorable safety compared with the conventional GC regimen as neoadjuvant therapy for bladder cancer.
4.Clinical application of adiponectin in gestational diabetes mellitus and the establishment of an early risk model
Jing BAI ; Yichuan QIN ; Yu LIU ; Xiangyi LIU
Journal of Capital Medical University 2025;46(3):567-575
Objective To investigate the early prediction efficacy of adiponectin(ADPN)for gestational diabetes mellitus(GDM),and to explore new indicators for the early diagnosis of GDM and risk models for early prediction.Methods A cohort of 486 pregnant women in early pregnancy(7-12 weeks)was selected from July to November 2023 at Beijing Tongren Hospital,Capital Medical University.According to the diagnostic criteria of GDM recommended by the International Association for the study of Diabetes and Pregnancy Study Group(IADPSG)in 2010,mid-pregnancy pregnancies were divided into GDM group(150 cases)and non-GDM group(336 case).ADPN,insulin(IR),fasting glucose(GLU),and glycated albumin(GA)were collected in early pregnancy,and the homeostatic model assessment of adiponectin(HOMA-AD),homeostatic model assessment of insulin resistance index(HOMA-IR)and hepatic steatosis index(HSI)were calculated.The differences in ADPN,HOMA-AD,and HOMA-IR between the two groups were analyzed and compared,and the value of each type of index in predicting GDM was analyzed with the receiver operating characteristics(ROC)curve,and the predictive risk model was established by combining the relevant indexes.Results There was a statistically significant difference between the GDM and non-GDM groups in ADPN in early pregnancy(P<0.05).The results of the ROC curve analysis showed that the area under the curve(AUC)of ADPN for early prediction of GDM positivity was 0.723,with a cutoff value 13.38 mg/L.There was a statistically significant difference between the GDM and non-GDM groups in HOMA-AD(P=0.000).The AUC of HOMA-AD for early prediction of GDM was 0.815,with the cutoff value 3.024.Combining GLU,HOMA-AD,HOMA-IR,and HSI in a Logistic regression model improved predictive performance across several metrics,with the final test set of AUC=0.829,accuracy=0.740,sensitivity=0.913,negative predictive value=0.833.Conclusion ADPN levels were reduced in the GDM group compared to the non-GDM group,and the diagnostic efficacy of a single ADPN was poor when it was used for early prediction of the onset of GDM.The HOMA-AD level of the GDM group was lower than that of the non-GDM group,and HOMA-AD was negatively correlated with the disease,which was more effective than ADPN,HOMA-IR,and HIS in the early prediction of GDM.HOMA-AD could be used in combination with these indexes to establish a diagnostic and predictive model to improve the effectiveness of the prediction.
5.Jiebiao Qingli Decoction Regulates TLR7/MAPK/NF-κB Pathway to Prevent and Treat Pneumonia Induced by IAV Infection
Yu MING ; Yichuan MA ; Ruiqi YAO ; Yan CHAO ; Hongchun ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):173-181
ObjectiveTo explore the mechanism of Jiebiao Qingli decoction (JQD) in treating pneumonia caused by influenza A virus (IAV) infection. MethodsA total of 132 Balb/c mice were randomly assigned into normal control (NC), model control (IAV), oseltamivir (OSV, 37.5 mg·kg-1), and high-, medium-, low-dose JQD (H-, M-, and L-JQD: 6.05, 3.02, and 1.51 g·kg-1, respectively) groups. The NC group was treated with normal saline nasal drops, and the other groups were intranasally inoculated with A/Brisbane/02/2018 (H1N1) [pdm09-like virus (H1N1)] for the modeling of IAV infection. Two hours post-modeling, the NC and IAV groups were administrated with normal saline by gavage, while other groups received corresponding drugs for 7 d. The body mass, survival status, and deaths of mice were recorded daily during the administration of the drugs. On days 3 and 7, the lung index was measured for mice in each group. Pathological changes in the lung tissue were observed via hematoxylin-eosin staining. Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR) was conducted to measure the viral load (IAV-M) and the mRNA levels of Toll-like receptor 7 (TLR7), p38 mitogen-activated protein kinase (p38 MAPK), and nuclear factor-kappa B (NF-κB) in the lung tissue. Western blot was employed to measure the protein levels of p38 MAPK and NF-κB. Enzyme-linked immunosorbent assay was used to quantify serum levels of interleukin-2 (IL-2), interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α). ResultsCompared with the NC group, the IAV group showed reduced survival quality and survival days (P<0.01), lung congestion, inflammatory cell infiltration, elevated lung index (P<0.01), increased viral load (P<0.01), upregulated TLR7, p38 MAPK, and NF-κB levels (P<0.05, P<0.01), decreased IL-2 level (P<0.01), and elevated IL-6 and TNF-α levels (P<0.01). Compared with the IAV group, H-JQD prolonged survival days (P<0.05). All JQD groups alleviated pathological changes in the lung tissue and reduced the lung index (P<0.01). M-JQD and H-JQD decreased the viral load (P<0.01). H-JQD downregulated the mRNA levels of TLR7, p38 MAPK, and NF-κB (P<0.05, P<0.01) and the protein levels of p38 MAPK and NF-κB (P<0.01), increased the serum IL-2 level (P<0.01), and lowered the IL-6 and TNF-α levels (P<0.05, P<0.01). M-JQD downregulated the mRNA level of NF-κB (P<0.01) and the protein level of p38 MAPK (P<0.05), elevated the IL-2 level (P<0.01), and lowered the TNF-α level (P<0.01). ConclusionM- and H-JQD can prevent and control IAV infection-induced pneumonia dose-dependently by inhibiting the TLR7/MAPK/NF-κB signaling pathway, increasing IL-2, and reducing excessive secretion of IL-6 and TNF-α.
6.Jiebiao Qingli Decoction Regulates TLR7/MAPK/NF-κB Pathway to Prevent and Treat Pneumonia Induced by IAV Infection
Yu MING ; Yichuan MA ; Ruiqi YAO ; Yan CHAO ; Hongchun ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):173-181
ObjectiveTo explore the mechanism of Jiebiao Qingli decoction (JQD) in treating pneumonia caused by influenza A virus (IAV) infection. MethodsA total of 132 Balb/c mice were randomly assigned into normal control (NC), model control (IAV), oseltamivir (OSV, 37.5 mg·kg-1), and high-, medium-, low-dose JQD (H-, M-, and L-JQD: 6.05, 3.02, and 1.51 g·kg-1, respectively) groups. The NC group was treated with normal saline nasal drops, and the other groups were intranasally inoculated with A/Brisbane/02/2018 (H1N1) [pdm09-like virus (H1N1)] for the modeling of IAV infection. Two hours post-modeling, the NC and IAV groups were administrated with normal saline by gavage, while other groups received corresponding drugs for 7 d. The body mass, survival status, and deaths of mice were recorded daily during the administration of the drugs. On days 3 and 7, the lung index was measured for mice in each group. Pathological changes in the lung tissue were observed via hematoxylin-eosin staining. Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR) was conducted to measure the viral load (IAV-M) and the mRNA levels of Toll-like receptor 7 (TLR7), p38 mitogen-activated protein kinase (p38 MAPK), and nuclear factor-kappa B (NF-κB) in the lung tissue. Western blot was employed to measure the protein levels of p38 MAPK and NF-κB. Enzyme-linked immunosorbent assay was used to quantify serum levels of interleukin-2 (IL-2), interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α). ResultsCompared with the NC group, the IAV group showed reduced survival quality and survival days (P<0.01), lung congestion, inflammatory cell infiltration, elevated lung index (P<0.01), increased viral load (P<0.01), upregulated TLR7, p38 MAPK, and NF-κB levels (P<0.05, P<0.01), decreased IL-2 level (P<0.01), and elevated IL-6 and TNF-α levels (P<0.01). Compared with the IAV group, H-JQD prolonged survival days (P<0.05). All JQD groups alleviated pathological changes in the lung tissue and reduced the lung index (P<0.01). M-JQD and H-JQD decreased the viral load (P<0.01). H-JQD downregulated the mRNA levels of TLR7, p38 MAPK, and NF-κB (P<0.05, P<0.01) and the protein levels of p38 MAPK and NF-κB (P<0.01), increased the serum IL-2 level (P<0.01), and lowered the IL-6 and TNF-α levels (P<0.05, P<0.01). M-JQD downregulated the mRNA level of NF-κB (P<0.01) and the protein level of p38 MAPK (P<0.05), elevated the IL-2 level (P<0.01), and lowered the TNF-α level (P<0.01). ConclusionM- and H-JQD can prevent and control IAV infection-induced pneumonia dose-dependently by inhibiting the TLR7/MAPK/NF-κB signaling pathway, increasing IL-2, and reducing excessive secretion of IL-6 and TNF-α.
7.Clinical application of adiponectin in gestational diabetes mellitus and the establishment of an early risk model
Jing BAI ; Yichuan QIN ; Yu LIU ; Xiangyi LIU
Journal of Capital Medical University 2025;46(3):567-575
Objective To investigate the early prediction efficacy of adiponectin(ADPN)for gestational diabetes mellitus(GDM),and to explore new indicators for the early diagnosis of GDM and risk models for early prediction.Methods A cohort of 486 pregnant women in early pregnancy(7-12 weeks)was selected from July to November 2023 at Beijing Tongren Hospital,Capital Medical University.According to the diagnostic criteria of GDM recommended by the International Association for the study of Diabetes and Pregnancy Study Group(IADPSG)in 2010,mid-pregnancy pregnancies were divided into GDM group(150 cases)and non-GDM group(336 case).ADPN,insulin(IR),fasting glucose(GLU),and glycated albumin(GA)were collected in early pregnancy,and the homeostatic model assessment of adiponectin(HOMA-AD),homeostatic model assessment of insulin resistance index(HOMA-IR)and hepatic steatosis index(HSI)were calculated.The differences in ADPN,HOMA-AD,and HOMA-IR between the two groups were analyzed and compared,and the value of each type of index in predicting GDM was analyzed with the receiver operating characteristics(ROC)curve,and the predictive risk model was established by combining the relevant indexes.Results There was a statistically significant difference between the GDM and non-GDM groups in ADPN in early pregnancy(P<0.05).The results of the ROC curve analysis showed that the area under the curve(AUC)of ADPN for early prediction of GDM positivity was 0.723,with a cutoff value 13.38 mg/L.There was a statistically significant difference between the GDM and non-GDM groups in HOMA-AD(P=0.000).The AUC of HOMA-AD for early prediction of GDM was 0.815,with the cutoff value 3.024.Combining GLU,HOMA-AD,HOMA-IR,and HSI in a Logistic regression model improved predictive performance across several metrics,with the final test set of AUC=0.829,accuracy=0.740,sensitivity=0.913,negative predictive value=0.833.Conclusion ADPN levels were reduced in the GDM group compared to the non-GDM group,and the diagnostic efficacy of a single ADPN was poor when it was used for early prediction of the onset of GDM.The HOMA-AD level of the GDM group was lower than that of the non-GDM group,and HOMA-AD was negatively correlated with the disease,which was more effective than ADPN,HOMA-IR,and HIS in the early prediction of GDM.HOMA-AD could be used in combination with these indexes to establish a diagnostic and predictive model to improve the effectiveness of the prediction.
8.Verification for the performance of ox-LDL test kit based on ITMA
Yichuan QIN ; Yu LIU ; Yungang PU ; Jing BAI
China Medical Equipment 2025;22(8):61-66
Objective:To verify the performance of the immunoturbidimetric assay(ITMA)kit of detecting oxidized low-density lipoprotein(ox-LDL).Methods:In accordance with the requirements of China National Accreditation Service for Conformity Assessment[(CNAS)-GL037:2019
9.Multivariate analysis and prediction model construction for live birth in patients with long-acting follicular phase in fresh single embryo transfer cycle
Bingnan REN ; Xiaoke ZHANG ; Wei ZHENG ; Junwei ZHANG ; Xiaona YU ; Yichuan GUAN
Chinese Journal of Reproduction and Contraception 2023;43(9):887-897
Objective:To explore risk factors associated with the live birth in patients with long-acting follicular phase in fresh single embryo transfer cycle and to construct nomogram prediction model for providing a reference for clinical decision-making and individualized treatment.Methods:An assisted reproduction population-based retrospective cohort analysis of the clinical data of 2 795 patients with long-acting follicular phase in fresh single embryo transfer cycle who underwent in vitro fertilization/intracytoplasmic sperm injection and embryo transfer (IVF/ICSI-ET) was performed in the Reproductive Center of the Third Affiliated Hospital of Zhengzhou University from January 2017 to December 2020. These patients were randomly divided into modeling group and validation group according to 3∶1. Univariate and multivariate logistic regression were used to screen potential risk factors for newborn live birth after fresh single embryo transfer. The nomogram model was established according to the regression coefficients. Besides, area under the receiver operator characteristic (ROC) curve, calibration curve and decision curve analysis were used to evaluate the discrimination and calibration of the model. Results:Through multiple logistic regression analysis, female age, progestational polycystic ovary syndrome (PCOS), the level of progestrogen on the day of human chorionic gonadotropin (hCG) injection, high-quality embryo rate, type of embryos transferred were independent risk factors associated with live birth. Stratified analysis found age ≥36 years together with the level of progestrogen ≥5.20 nmol/L on the day of hCG injection could reduce the probability of live birth signally, and statistically significant interaction was found ( P=0.043). The level of progestrogen ≥5.20 nmol/L on the day of hCG injection together with high-quality embryo rate <59.60% could reduce the probability of live birth signally, and statistically significant interaction was found ( P=0.010). The area under the curve (AUC) of modeling group and validation group was 0.637 (95% CI: 0.615-0.658) and 0.617 (95% CI: 0.579-0.654), respectively. The calibration curve showed that the predicted value of the model was in good agreement with the actual value. The decision curve analysis indicated the most benefical clinical effect with the nomogram for live birth under threshold probabilities of 24.05%-68.75%, it had a good diagnostic value for clinical decision. Conclusion:Female age, progestational PCOS, the level of progestrogen on the day of hCG injection, high-quality embryo rate, type of embryos transferred were independent risk factors associated with live birth in patients with long-acting follicular phase in fresh single embryo transfer cycle. Female age ≥36 years and high-quality embryo rate <59.60% together with the level of progestrogen ≥5.26 nmol/L on the day of hCG injection respectively could reduce the probability of live birth. The nomogram predictive model based on the above factors contribute to predict the probability of live birth.
10.Multivariate analysis and prediction model construction for live birth in patients with long-acting follicular phase in fresh single embryo transfer cycle
Bingnan REN ; Xiaoke ZHANG ; Wei ZHENG ; Junwei ZHANG ; Xiaona YU ; Yichuan GUAN
Chinese Journal of Reproduction and Contraception 2023;43(9):887-897
Objective:To explore risk factors associated with the live birth in patients with long-acting follicular phase in fresh single embryo transfer cycle and to construct nomogram prediction model for providing a reference for clinical decision-making and individualized treatment.Methods:An assisted reproduction population-based retrospective cohort analysis of the clinical data of 2 795 patients with long-acting follicular phase in fresh single embryo transfer cycle who underwent in vitro fertilization/intracytoplasmic sperm injection and embryo transfer (IVF/ICSI-ET) was performed in the Reproductive Center of the Third Affiliated Hospital of Zhengzhou University from January 2017 to December 2020. These patients were randomly divided into modeling group and validation group according to 3∶1. Univariate and multivariate logistic regression were used to screen potential risk factors for newborn live birth after fresh single embryo transfer. The nomogram model was established according to the regression coefficients. Besides, area under the receiver operator characteristic (ROC) curve, calibration curve and decision curve analysis were used to evaluate the discrimination and calibration of the model. Results:Through multiple logistic regression analysis, female age, progestational polycystic ovary syndrome (PCOS), the level of progestrogen on the day of human chorionic gonadotropin (hCG) injection, high-quality embryo rate, type of embryos transferred were independent risk factors associated with live birth. Stratified analysis found age ≥36 years together with the level of progestrogen ≥5.20 nmol/L on the day of hCG injection could reduce the probability of live birth signally, and statistically significant interaction was found ( P=0.043). The level of progestrogen ≥5.20 nmol/L on the day of hCG injection together with high-quality embryo rate <59.60% could reduce the probability of live birth signally, and statistically significant interaction was found ( P=0.010). The area under the curve (AUC) of modeling group and validation group was 0.637 (95% CI: 0.615-0.658) and 0.617 (95% CI: 0.579-0.654), respectively. The calibration curve showed that the predicted value of the model was in good agreement with the actual value. The decision curve analysis indicated the most benefical clinical effect with the nomogram for live birth under threshold probabilities of 24.05%-68.75%, it had a good diagnostic value for clinical decision. Conclusion:Female age, progestational PCOS, the level of progestrogen on the day of hCG injection, high-quality embryo rate, type of embryos transferred were independent risk factors associated with live birth in patients with long-acting follicular phase in fresh single embryo transfer cycle. Female age ≥36 years and high-quality embryo rate <59.60% together with the level of progestrogen ≥5.26 nmol/L on the day of hCG injection respectively could reduce the probability of live birth. The nomogram predictive model based on the above factors contribute to predict the probability of live birth.

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