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.

ObjectiveTo investigate the effects of Scutellariae Radix combined with epidermal growth factor receptor-tyrosine kinase inhibitors （EGFR-TKIs） on cell proliferation， apoptosis， cancer stem cell （CSC） marker expression， and metabolism in non-small cell lung cancer （NSCLC） cells. MethodsThe anti-tumor effects of Scutellariae Radix and EGFR-TKIs （gefitinib or osimertinib） in NSCLC cells were evaluated using the cell counting kit-8 （CCK-8） and Annexin V-FITC/propidium iodide （PI） double staining apoptosis assay. The activity of Scutellariae Radix and EGFR-TKIs in three-dimensional （3D） cultures of NSCLC cells was assessed using the CellTiter-Glo® 3D cell viability assay. The mRNA and protein expression levels of CSC markers， sex determining region y box protein 2 （SOX2） and aldehyde dehydrogenase 1 family member A1 （ALDH1A1）， were detected by quantitative real-time polymerase chain reaction （Real-time PCR） and Western blot， respectively. Changes in intracellular reactive oxygen species （ROS） levels were detected by ROS staining， and the redox ratio was detected by femtosecond laser labeling free imaging （FLI）. ResultsUnder both two-dimensional （2D） and 3D culture conditions， compared with the blank group and EGFR-TKI group， the combination group showed significantly reduced cell viability and increased apoptosis rate （P<0.05）. Compared with the EGFR-TKI group， the mRNA and protein levels of CSC markers were significantly downregulated in the combination group （P<0.05）. Additionally， the redox ratio was significantly elevated （P<0.05）， and ROS levels were also increased in the combination group compared with the EGFR-TKI group. ConclusionIn NSCLC cells， Scutellariae Radix enhances the redox ratio and increases ROS levels， thereby inhibiting the expression of CSC markers and strengthening the anti-tumor effects of EGFR-TKIs. This provides a novel molecular mechanism by which Scutellariae Radix may enhance the sensitivity of targeted therapies.

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 exploring the correlation between serum miR-195 and metabolic associated fatty liver disease(MAFLD)in type 2 diabetes mellitus(T2DM)patients.Methods A total of 79 patients with T2DM who were treated in the Endocrinology Department of Gansu Provincial People's Hospital were enrolled in this study from October 2022 to August 2023.They were divided into simple T2DM(n=37)and MAFLD group(MAFLD,n=42)according to whether they were complicated with MAFLD.Meanwhile,34 healthy individuals who underwent physical examinations were selected as the normal control(NC)group.Results Compared with the NC group,FPG,HbA1c and HOMA-IR increased,while HDL-C decreased in T2DM and MAFLD group(P<0.05).The TG and hs-CRP levels were higher in MAFLD group than in NC and T2DM group(P<0.05).The serum miR-195 expression decreased sequentially(P<0.05),while FAS increased sequentially in NC,T2DM,and MAFLD group(P<0.05).Spearman correlation analysis showed that miR-195 was negatively correlated with FPG,HOMA-IR,hs-CRP,and FAS(P<0.05).Multiple linear regression analysis showed that HOMA-IR and FAS were the influencing factors for serum miR-195.Conclusions Down-regulation of serum miR-195 expression in patients with T2DM combined with MAFLD may be by glucose and lipid metabolism,IR and inflammatory response.

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.

ObjectiveTo compare and observe the effect of Reduning injection （mainly clearing heat）， Shenfu injection （mainly warming Yang） combined with gefitinib on the proliferation， apoptosis， stemness characteristics and metabolism of lung cancer cells. MethodDifferent non-small cell lung cancer （NSCLC） cell lines were selected and intervened with gefitinib （5， 10， 20 μmol·L^-1）， Reduning injection （0.6%， 0.9%）， Shenfu injection （0.6%， 0.9%）， gefitinib combined with Reduning injection， and gefitinib combined with Shenfu injection. Cell proliferation in each group was detected by cell counting kit-8 （CCK-8） assay， and cell apoptosis was detected by flow cytometry. The mRNA and protein expressions of lung cancer stem cell markers sex determining region Y-box 2 （Sox2） and aldehyde dehydrogenase family 1 member A1 （ALDH1A1） were determind by real-time quantitative polymerase chain reaction （Real-time PCR） and Western blot， respectively. The redox ratio of lung cancer cells was observed by femtosecond label-free imaging （FLI） and energy metabolism instrument was used to determine the glycolysis level in cells. ResultCompared with the blank group， Reduning injection reduced the survival rate of lung cancer cells （P<0.05）， increased the apoptosis rate （P<0.05）， down-regulated the mRNA and protein expressions of Sox2 and ALDH1A1 （P<0.05）， and up-regulated the redox ratio of cells （P<0.05）， while Shenfu injection exerted no remarkable effect on the above indexes. In addition， compared with gefitinib alone， Reduning injection combined with gefitinib inhibited the survival rate of lung cancer cells （P<0.05）， promoted the cell apoptosis （P<0.05）， down-regulated the mRNA and protein expressions of Sox2 and ALDH1A1 （P<0.05）， up-regulated the redox ratio of cells （P<0.05）， and lowered the proton efflux rate of glycolysis （P<0.05）， while Shenfu injection combined with gefitinib failed to affect these indexes of lung cancer cells significantly. ConclusionReduning injection may inhibit stemness characteristics of tumor cells by regulating their metabolism to enhance the proliferation-inhibiting and pro-apoptotic effects of gefitinib on lung cancer cells， while Shenfu injection had no significant enhancing effect on gefitinib. This indicates that epidermal growth factor receptor tyrosine kinase inhibitors （EGFR-TKIs） should be used in combination with heat-clearing Chinese medicines.