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.

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.

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.

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.

Background::Carotid intima-media thickness (IMT) and diameter, stiffness, and wave reflections, are independent and important clinical biomarkers and risk predictors for cardiovascular diseases. The purpose of the present study was to establish nationwide reference values of carotid properties for healthy Chinese adults and to explore potential clinical determinants.Methods::A total of 3053 healthy Han Chinese adults (1922 women) aged 18-79 years were enrolled at 28 collaborating tertiary centers throughout China between April 2021 and July 2022. The real-time tracking of common carotid artery walls was achieved by the radio frequency (RF) ultrasound system. The IMT, diameter, compliance coefficient, β stiffness, local pulse wave velocity (PWV), local systolic blood pressure, augmented pressure (AP), and augmentation index (AIx) were then automatically measured and reported. Data were stratified by age groups and sex. The relationships between age and carotid property parameters were analyzed by Jonckheere-Terpstra test and simple linear regressions. The major clinical determinants of carotid properties were identified by Pearson’s correlation, multiple linear regression, and analyses of covariance.Results::All the parameters of carotid properties demonstrated significantly age-related trajectories. Women showed thinner IMT, smaller carotid diameter, larger AP, and AIx than men. The β stiffness and PWV were significantly higher in men than women before forties, but the differences reversed after that. The increase rate of carotid IMT (5.5 μm/year in women and 5.8 μm/year in men) and diameter (0.03 mm/year in both men and women) were similar between men and women. For the stiffness and wave reflections, women showed significantly larger age-related variations than men as demonstrated by steeper regression slopes (all P for age by sex interaction <0.05). The blood pressures, body mass index (BMI), and triglyceride levels were identified as major clinical determinants of carotid properties with adjustment of age and sex. Conclusions::The age- and sex-specific reference values of carotid properties measured by RF ultrasound for healthy Chinese adults were established. The blood pressures, BMI, and triglyceride levels should be considered for clinical application of corresponding reference values.

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.