1.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
2.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
3.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
4.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
5.Mendelian randomization study on the causal relationship between inflammatory factors and hepatocellular carcinoma
Xiangqi YIN ; Jinchang XIAO ; Yuming GU
Immunological Journal 2025;41(4):269-273,288
Objective To investigate the causal relationship between 41 inflammatory factors and hepatocellular carcinoma(HCC).Methods A two-sample Mendelian randomization(MR)analysis was conducted using genome-wide association study(GW AS)data from the UK Biobank(GCST90043858,n=456 348)and a Finnish population-based GW AS dataset of 41 inflammatory factors(n=8 293).Genetic variants significantly associated with the 41 inflammatory factors were selected as instrumental variables(IVs).The inverse-variance weighted(IVW)method was used as the primary analysis,supplemented by MR Egger regression,weighted median method,and pleiotropy tests to ensure the robustness of the results.Results Genetically predicted IL-5(OR:2.15,95%CI:1.05-4.39,P=0.036)and IL-17(OR:3.35,95%CI:1.36-8.25,P=0.008)were significantly associated with an increased risk of liver cancer.Conclusion IL-5 and IL-17 exhibit a causal relationship with hepatocellular carcinoma risk,suggesting their potential as biomarkers for liver cancer.Targeting inflammatory signaling pathways may provide novel strategies for the prevention and treatment of HCC.
6.Mendelian randomization study on the causal relationship between inflammatory factors and hepatocellular carcinoma
Xiangqi YIN ; Jinchang XIAO ; Yuming GU
Immunological Journal 2025;41(4):269-273,288
Objective To investigate the causal relationship between 41 inflammatory factors and hepatocellular carcinoma(HCC).Methods A two-sample Mendelian randomization(MR)analysis was conducted using genome-wide association study(GW AS)data from the UK Biobank(GCST90043858,n=456 348)and a Finnish population-based GW AS dataset of 41 inflammatory factors(n=8 293).Genetic variants significantly associated with the 41 inflammatory factors were selected as instrumental variables(IVs).The inverse-variance weighted(IVW)method was used as the primary analysis,supplemented by MR Egger regression,weighted median method,and pleiotropy tests to ensure the robustness of the results.Results Genetically predicted IL-5(OR:2.15,95%CI:1.05-4.39,P=0.036)and IL-17(OR:3.35,95%CI:1.36-8.25,P=0.008)were significantly associated with an increased risk of liver cancer.Conclusion IL-5 and IL-17 exhibit a causal relationship with hepatocellular carcinoma risk,suggesting their potential as biomarkers for liver cancer.Targeting inflammatory signaling pathways may provide novel strategies for the prevention and treatment of HCC.
7.Application of Multi-Segmental Foot Modeling in Evaluation of Foot Torsion and Footwear Torsion:A Review
Yile WANG ; Yuming WANG ; Jia ZHAO ; Fan YANG ; Qichang MEI ; Yaodong GU
Journal of Medical Biomechanics 2025;40(3):768-775
Foot torsion stiffness refers to the foot's ability to resist deformation when subjected to torsional forces,and such characteristics play a crucial role in the prevention of sports injuries and design of athletic footwear.This review systematically summarizes the biomechanical research progress of foot torsion and shoe torsion,as well as the research and application of multi-segment foot models in foot-shoe torsion.The findings indicate that foot torsional stiffness significantly impacts lower limb kinematics,kinetics,and athletic performance.Optimizing this stiffness can improve stress distribution,reduce injury risk,and enhance performance.The future researches should focus on refining measurement techniques to enhance reliability and efficiency in clinical applications,providing a scientific foundation for sports injury prevention and footwear design.
8.Application of Multi-Segmental Foot Modeling in Evaluation of Foot Torsion and Footwear Torsion:A Review
Yile WANG ; Yuming WANG ; Jia ZHAO ; Fan YANG ; Qichang MEI ; Yaodong GU
Journal of Medical Biomechanics 2025;40(3):768-775
Foot torsion stiffness refers to the foot's ability to resist deformation when subjected to torsional forces,and such characteristics play a crucial role in the prevention of sports injuries and design of athletic footwear.This review systematically summarizes the biomechanical research progress of foot torsion and shoe torsion,as well as the research and application of multi-segment foot models in foot-shoe torsion.The findings indicate that foot torsional stiffness significantly impacts lower limb kinematics,kinetics,and athletic performance.Optimizing this stiffness can improve stress distribution,reduce injury risk,and enhance performance.The future researches should focus on refining measurement techniques to enhance reliability and efficiency in clinical applications,providing a scientific foundation for sports injury prevention and footwear design.
9.Diagnosis and treatment of 131 adult patients with bronchopulmonary sequestration: A retrospective analysis
Xiaobo GU ; Qiankun CHEN ; Ziwei WAN ; Cong YE ; Yuming ZHU ; Shijian DU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2024;31(01):105-110
Objective To explore the safety and feasibility of uni-portal video-assisted thoracic surgery (VATS) for the treatment of bronchopulmonary sequestration (BPS). Methods The clinical data of BPS patients with surgical resection in Shanghai Pulmonary Hospital from February 2010 to June 2021 were reviewed. The patients were divided into a VATS group and a thoracotomy group according to the operation method. The operation time, intraoperative blood loss, hospital stay and postoperative complication rate were compared between the two groups. The VATS group was subdivided into a uni-portal VATS group and a multi-portal VATS group for subgroup analysis. Results Finally 131 patients were enrolled, including 62 males and 69 females with an average age of 39.3±13.2 years. There were 103 patients in the VATS group and 28 patients in the thoracotomy group. A total of 104 patients were diagnosed with left lower BPS, 26 with right lower BPS and 1 with bilateral lower BPS. The main symptom was cough (88 patients, 67.2%). There were 119 patients diagnosed by thoracic enhanced CT before operation. Compared with the thoracotomy group, the operation time was not statistically different (P=0.717), but the blood loss was less, the rate of postoperative complication was lower and hospital stay was shorter in the VATS group (P<0.05). The rate of conversion to open surgery in the uni-portal VATS group and multi-portal VATS group was 11.8% and 13.5%, respectively. Meanwhile, patients in the uni-portal VATS group had shorter operation time and postoperative hospital stay, less blood loss and lower postoperative complication rate than those in the multi-portal VATS group (P<0.05). Conclusion In order to improve the rate of diagnosis, the lung enhanced CT scan should be selected as an optimal noninvasive method in adult suspected patients (especially those with solid cystic and solid lesions in the lower lobe). Uni-portal VATS is a safe and feasible method for BPS which can be widely promoted.
10.Comparative analysis of domestic Octoparms and imported Celect inferior vena cava filter in interventional treatment of venous thromboembolism
Jinchang XIAO ; Qianxin HUANG ; Jing YANG ; Mingming JIANG ; Ning WEI ; Hongtao LIU ; Yanfeng CUI ; Yuming GU ; Maoheng ZU ; Hao XU ; Qingqiao ZHANG
Journal of Practical Radiology 2024;40(3):456-459,463
Objective To compare and analyze the application value of domestic Octoparms and imported Celect inferior vena cava filter(IVCF)in the interventional treatment of venous thromboembolism(VTE).Methods Forty patients with VTE were randomly divided into Octoparms group(experimental group)and Celect group(control group)according to the double-blinded method of the central random system.All the patients underwent filter placement,catheter-directed thrombolysis and filter retrieval.The primary end point was the success of filter placement and retrieval,and the secondary end point included indwelling complications such as the occurrence of pulmonary embolism(PE)and filter tilt and migration.Results Forty patients were enrolled in this study,22 patients and 18 patients were divided into the experimental group and the control group,respectively.Among them,11 cases were identified with right lower extremity deep vein thrombosis,29 cases with left lower extremity deep vein thrombosis,17 cases with PE,and 6 cases with inferior vena cava thrombosis.The success rate of IVCF placement was 100%in all participants.Immediately after filter place-ment,the angle of filter tilt was(3.8±2.3)° in the experimental group and(4.9±2.8)° in the control group(t=1.44,P=0.16).Filter retrieval was successful in 21 cases(21/22,95.5%)of the experimental group and 17 cases(17/18,95.5%)of the control group.There was no significant difference between the two groups(t=0.14,P=0.89).The mean indwelling time of filter was(8.0±2.1)days in the experimental group and(9.7±3.1)days in the control group(t=0.73,P=0.47).The angle of filter tilt was(5.3±3.4)° in the experimental group and(5.7±7.7)° in the control group(t=0.19,P=0.85).There was no significant difference for filter placement and retrieval between the two groups(t=0.48 and 2.00,P=0.06 and 0.64,respectively).There were no complications of filter migration,strut penetration or new PE in both groups.Conclusion The application value of domestic Octoparms and impor-ted Celect IVCF is similar in interventional treatment of VTE.

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