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.

Objective:To analyze the changes of fasting plasma glucose(FPG)level before and after menopause.Methods:Kailuan health checkup cohort was used to extract data of women aged≥18 years who participated in the first physical examination of Kailuan physical examination cohort and had menopausal age at the end of the seventh physical examination. A total of 3 749 women with 22 057 physical examination records were included in the analysis. Natural logarithmic transformation was applied to FPG, and a segmented linear mixed-effects model was used to analyze the changes in ln-transformed FPG before and after menopause. Additionally, an interaction analysis was performed to assess the multiplicative effect of baseline age and baseline body mass index(BMI)on ln-transformed FPG concerning pre- and post-menopausal periods.Results:The average age of the first physical examination for women in this study was (45.63±4.52)years, the median menopausal age was 51(50~53)years, and the median number of physical examinations was 6(5~7)times. The results of the piecewise linear mixed effect model showed that lnFPG increased from 1 year before menopause, with an average annual increase of 0.021 mmol/L, and continued to increase from menopause to 5 years after menopause, with an average annual increase of 0.007 mmol/L. LnFPG tended to be stable after 5 years of menopause. Baseline age could affect the changes of lnFPG before and after menopause, and there was a negative multiplicative interaction between baseline age ≥45 years and the time period from 6 years to 1 year before menopause( P=0.032). Women with baseline age ≥45 years had a higher average annual increase in lnFPG from 1 year before menopause to 5 years after menopause than women with baseline age <45 years( P<0.05). On lnFPG, there was a positive multiplicative interaction between baseline BMI and time segments around menopause. Compared to women with BMI <24.0 kg/m 2, obese women displayed more annual increase in lnFPG from 6 years to 1 year before menopause as well as from menopause to 5 years after menopause( P<0.05). Conclusions:Menopause has an adverse impact on FPG, with the most significant changes occurring within the period of one year before menopause and up to five years after menopause. Age and BMI significantly influence the changes in FPG before and after menopause.

Objective:To assess the effectiveness of a 6-month Ba Duan Jin exercise program in improving the balance of community-dwelling older adults.Methods:A two arms, parallel-group, cluster randomized controlled trial was conducted in 1 028 community residents aged 60-80 years in 40 communities in 5 provinces of China. Participants in the intervention group (20 communities, 523 people) received Ba Duan Jin exercise 5 days/week, 1 hour/day for 6 months, and three times of falls prevention health education, and the control group (20 communities, 505 people) received falls prevention health education same as the intervention group. The Berg balance scale (BBS) score was the leading outcome indicator, and the secondary outcome indicators included the length of time of standing on one foot (with eyes open and closed), standing in a tandem stance (with eyes open and closed), the closed circle test, and the timed up to test.Results:A total of 1 028 participants were included in the final analysis, including 731 women (71.11%) and 297 men (28.89%), and the age was (69.87±5.67) years. After the 3-month intervention, compared with the baseline data, the BBS score of the intervention group was significantly higher than the control group by 3.05 (95% CI: 2.23-3.88) points ( P<0.001). After the 6-month intervention, compared with the baseline data, the BBS score of the intervention group was significantly higher than the control group by 4.70 (95% CI: 4.03-5.37) points ( P<0.001). Ba Duan Jin showed significant improvement ( P<0.05) in all secondary outcomes after 6 months of exercise in the intervention group compared with the control group. Conclusions:This study showed that Ba Duan Jin exercise can improve balance in community-dwelling older adults aged 60-80. The longer the exercise time, the better the improvement.

Objective:To understand the effect of vitamin B1 on lymphocyte function in simulated microgravity.Methods:Splenocytes of mice were isolated,and the rotatary cell culture system was used to simulate microgravity.Lymphocytes were stimulated with mitotic agents Concanavalin A,and cells were treated with different concentrations of vitamin B1,proliferation indexes of lympho-cytes and levels of cytokines in supernatant were detected.Results:Simulated microgravity could inhibit proliferation of splenic lym-phocytes,and decrease levels of cytokines,while vitamin B1 could promote lymphocyte proliferation and cytokines production in cells cultured in simulated microgravity in a dose dependent manner.Conclusion:Vitamin B1 may attenuate the inhibitory effect of simulated microgravity on lymphocytes by regulating cell proliferation and secretion of cytokines.

Objective Through the detection of treponema pallida antibody in the unpaid blood donors in Wenzhou area,the recall self-test and recall test were carried out on the blood donors who were reactive to enzyme-linked immunosorbent assay(ELISA)test,and the feasibility of the recall plan was evaluated.Methods From January 2021 to May 2023,275 652 blood donors who successfully participated in unpaid blood donation were tested by anti-treponema pallidum(TP)ELISA,the reactivity rate and S/CO value of different reagents were compared,and the reactivity of single reagent was detected by ELISA.In addition,24 blood donors who volunteered to participate in the recall more than six months after the last blood donation screening were informed of the recall by way of interview,targeted health consultation,general examination and preliminary screening test were passed,and blood samples were collected for recall self-test and recall test.Results A total of 275 652 people were tested by anti-TP ELISA,and 627 cases were found to be reactive,with a reactivity rate of 0.23% ,including a double reagent reactivity rate of 0.12% and a single reagent reactivity rate of 0.11% .The ratio of S/CO≥5.00 with double reagent was 73.6% (240/326),and the ratio of S/CC＜5.00 with single reagent was 92.4% (278/301).24 people entered the recall process,20 people were successfully recalled,3 people failed to pass the self-test and 1 person failed to pass the test.The recall success rate was 83.3% (20/24).Conclusion The problem of false reactivity of anti-TP ELISA test single reagent in blood collection and supply institutions is prominent.Through the established recall scheme,the self-test and recall test of blood donors with strong recall intention can not only ensure the safety of blood donors,but also improve the construction of blood collection and supply service system.

Objective:To explore the application of microvascular flow imaging (MVFI) combined with high-frequency ultrasonography in children with haemophilic arthropathy A (HAA).Methods:Retrospective study.A total of 82 children diagnosed with HAA in the First Affiliated Hospital of Zhengzhou University from October 2018 to October 2020 were recruited.The elbow, knee and ankle joints of each child were examined by high-frequency ultrasonography.The numbers of thickened synovial joints were recorded.Blood flow signals of the thickening of synovial joints was checked by the MVFI and power Doppler ultrasound (PDUS), respectively.Color flow signals were graded by the semi-quantitative scoring systems.The chi- square test and independent multi-group ordinal multi-category rank-sum test were used to compare the differences of MVFI and PDUS in the display of thickened synovial blood flow. Results:A total of 254 joints were involved in 82 children with HAA, including synovial hypertrophy in 188 joints, hydrops articuli in 146 joints, fibrotic septa in 66 joints, cartilage damage in 63 joints, haemosider indeposition in 45 joints, bone erosion in 25 joints, osteophytes in 15 joints and bone remodeling in 8 joints.Grade Ⅱ synovial thickened joints were the most common.The proportion of blood flow signals detected by PDUS in thickened synovial membranes was significantly higher than that detected MVFI (52.66% vs.70.21%, χ2=12.225, P<0.05). Numbers of grade 0 and Ⅰ joints with thickened synovial membranes detected by MVFI were less than those of PDUS, while the opposite result was obtained in detecting grade Ⅱ and Ⅲ joints ( H=21.158, P<0.05). Compared with PDUS, MVFI more sensitively visualized the blood flow of the thickened synovial membrane. Conclusions:MVFI can more prominently detect the thickened synovial blood flow in children with HAA.A combined application of MVFI and high-frequency ultrasonography contributes to the evaluation of children with HAA.

OBJECTIVE：To study the current status and influencing factors of medication compliance in children with tic disorder（TD），and to provide reference for improving medication compliance in TD children. METHODS：The questionnaire was designed according to the protection motivation theory. The cross-sectional study was adopted to conduct questionnaire survey among TD children in West China Second Hospital of Sichuan University from Jan. 2018 to Dec. 2019. The structural equation model was established according to the theoretical assumptions，and the maximum likelihood method was used to estimate the model；multiple linear regression analysis was carried out for the factors with significant influence in the single factor analysis，and path analysis and intermediary effect test were carried out. RESULTS：A total of 317 patients with TD were included，the mean age was（8.38±2.54）years，and the mean course of disease was（3.19±2.46）years. Average medication compliance scores was （5.70±1.69），among which 15.1％ was low compliance，37.5％ moderate compliance，and 47.3％ high compliance. Multivariate linear regression analysis showed that comorbidities（β＝0.124，SE＝0.167，P＝0.011），education level of the main guardian（β＝ 0.236，SE＝0.110，P＜0.001），quality of life（β＝0.399，SE＝0.112，P＜0.001）and the types of drugs taken（β＝0.166，SE＝ 0.047，P＝0.001）were the factors affecting medication compliance of children with TD. Structural equation model analysis showed that severity（β＝0.295，95％CI：0.103-0.493），external return（β＝0.830，95％CI：0.662-1.002），self-efficacy（β＝0.200，95％CI： 0.057-0.353），susceptibility（β＝0.220，95％CI：0.084-0.352）and quality of life（β＝0.353，95％CI：0.211-0.500）had a direct positive impact on medication compliance. Quality of life mediated between external returns and compliance variables（intermediary effect accounted for 13.9％ of the total effect value）. CONCLUSIONS：Children with TD have low medication compliance. It is recommended that pediatricians in medical institutions at all levels to manage the medication compliance of patients with TD from the severity，susceptibility，external returns and self-efficacy，so as to improve patients and guardians’awareness of the severity and susceptibility of disease and medication non-adherence，weaken external returns and increase self-efficacy，and ultimately improve medication compliance of patients