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.

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.

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.

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.

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.

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.

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.

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.

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.

Objective To investigate the clinical application value of contrast-enhanced chest CT in the detection of responsible vessels for hemoptysis before selective arterial embolization(SAE).Methods The clinical data of 74 patients with hemoptysis trea-ted with interventional therapy and preoperative contrast-enhanced chest CT and digital subtraction angiography(DSA)were ana-lyzed retrospectively.The responsible vessels were identified and then embolized via angiography.The detection of the responsible vessels via preoperative contrast-enhanced chest CT was analyzed.The patients were followed up to observe the efficacy and compli-cations,and the influencing factors of interventional efficacy and recurrence were analyzed.Results A total of 245 responsible ves-sels were detected by preoperative contrast-enhanced chest CT,including bronchial arteries(n=178),ectopic bronchial arteries(n=10)and non-bronchial systemic artery(NBSA)(n=57),which could accurately show the anatomical information of responsible vessels.A total of 4 posterior intercostal arteries were missed.The diagnostic accuracy was 98.4％(245/249).All patients were followed up for 12 to 25.6 months.The immediate hemostasis rate was 93.2％(69/74)and the effective rate was 79.7％(59/74),respectively.The factors affecting the efficacy were bronchial artery to pulmonary circulation fistula,pleural thickening at the bleeding site,and underly-ing lung disease.Among the 59 patients with effective treatment,underlying lung disease was the influencing factor for postoperative recurrence.Conclusion Contrast-enhanced chest CT can provide anatomical information about the responsible vessels for interven-tional therapy of hemoptysis,improving surgical efficiency and reducing the recurrence rate of hemoptysis.