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.

The research on the cardiovascular toxicity of air pollutants is in urgent need of collaborative innovation across multiple models. This paper systematically reviewed the advantages and limitations of four principal research models of cardiotoxicity, including epidemiological model, mammalian model, zebrafish model, and in vitro model. Epidemiological models have been used to demonstrate a significant correlation between exposure to PM_2.5 and both the incidence and mortality of cardiovascular diseases within populations; however, these models face challenges in establishing causal inferences and interpreting individual mechanisms. Mammalian models have been applied to elucidate the pathogenic mechanisms of PM_2.5 at both the systemic and organ-specific levels, yet they encounter difficulties related to interspecies differences and throughput constraints. Zebrafish models, with their transparent embryos and observable development, offer a distinctive opportunity for high-throughput screening and mechanistic investigation of PM_2.5-induced cardiac developmental toxicity. Nonetheless, their cardiac physiological structure diverges from that of mammals, limiting their capacity to accurately model chronic conditions such as coronary heart disease. In vitro models, particularly human heart organoids and chip technologies, have provided profound insights into the direct toxic mechanisms of PM_2.5, including disruptions in calcium homeostasis, cellular senescence, and electrophysiological irregularities at the cellular and molecular levels. Despite these advancements, the complexity and developmental maturity of these models present challenges to their broader application. This paper proposed that the key to overcoming the bottlenecks of single models lies in the construction of an integrated evaluation system that combines “epidemiological studies, mammalian models, zebrafish models, and in vitro models”. By focusing on three aspects, namely model integration, technological convergence, and policy support, it is intended to collaboratively address issues such as standardization of multi-model data, simulation of complex exposure scenarios and susceptible life stages, and transformation pathways. This will provide innovative methodological support for the analysis of the cardiotoxic mechanisms of air pollutants, the assessment of environmental health impacts, and the formulation of precise prevention and control strategies.

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 characteristics of β and γ oscillations in Parkinson's disease (PD) patients with levodopa-induced dyskinesia (LID).Methods:Seventeen patients with advanced idiopathic PD received subthalamic nucleus deep brain stimulation (STN-DBS) from August 2019 to June 2021 at Department of Neurosurgery, First Affiliated Hospital of Zhengzhou University were enrolled; 11 patients were without LID before surgery (PD group) and 6 patients were with LID before surgery (LID group). Preoperative electrophysiological data of the STN, including Area under power spectral density (PSD-AUC), burst amplitude and duration of β and γ oscillations, were compared between the two groups.Results:PSD-AUC of β oscillation at 25-35 Hz in the PD group (60.39±1.00) was significantly increased compared with that in the LID group (54.33±0.55), whereas the PSD-AUC of γ oscillation at 65-85 Hz in the LID group (97.31±1.84) was significantly increased compared with that in the PD group (41.52±7.42, P<0.05). The aburst mplitude and duration of β oscillation in the PD group were significantly increased compared with those in the LID group ([8.52±1.00] au] vs. [1.09±0.13] au, [13 344±2 069] ms vs. [1 442±128] ms, P<0.05), while the burst amplitude and duration of γ oscillation in the LID group were significantly higher than those in the PD group ([5.03±0.55] au vs. [0.14±0.01] au, [12 276±5 011] ms vs. [1 741±233] ms, P<0.05). Conclusion:The imbalance of β-γ oscillations in the STN is associated with LID pathophysiology.

Objective:To analyze the association between inflammation-related dietary patterns and the risk for cognitive impairment in older adults aged ≥65 years in longevity areas in China by using reduced rank regression (RRR) analysis.Methods:This study used cross-sectional data from the 2021 Healthy Aging and Biomarkers Cohort Study, including the information about study participants' demographic characteristics, lifestyles, daily life activities, and disease histories. Dietary intake was obtained by using a simplified food frequency questionnaire. Cognitive impairment was evaluated based on the Mini-Mental State Examination Scale combined with years of education. Fasting venous blood samples were collected to detect inflammatory markers, especially high-sensitivity C-reactive protein (hs-CRP) and the platelet-to-lymphocyte ratio (PLR). RRR analysis was used to obtain inflammation-related dietary patterns using hs-CRP and PLR as response variables. Multivariate logistic regression model was used to analyze the association between dietary pattern score and the risk for cognitive impairment. Restricted cubic spline was used to explore the dose response relationship, and mediation analysis was used to quantify the mediating effects of hs-CRP and PLR.Results:Two dietary patterns were identified with RRR. The primary pattern was characterized by higher intakes of flour, red meat, and dairy products, and lower intake of fresh vegetables, explaining 6.84% of the variance in food intake and 0.50% of the variance in inflammatory markers. Compared with the T1 group, the T3 group had significantly higher risk for cognitive impairment ( OR=1.242, 95% CI: 1.034-1.491). Each one standard deviation increase in the dietary pattern score was associated with an 8.7% increase in the risk for cognitive impairment ( OR=1.087, 95% CI: 1.008-1.172), with a significant linear trend (overall-model P<0.001, non-linear P=0.295). Mediation analysis indicated that hs-CRP mediated 6.2% of the association between the dietary pattern and the risk for cognitive impairment. Conclusion:The inflammation- related dietary pattern characterized by higher consumption of flour, red meat, and dairy products and lower consumption of fresh vegetables is associated with an increased risk for cognitive impairment in older adults, and hs-CRP partially mediates this association.

Objective:To investigate the relationship between dietary behavior and sarcopenia in older adults aged ≥65 years in longevity areas of China based on latent class analysis.Methods:A total of 4 358 older adults aged ≥65 years were selected from the 2021 Healthy Aging and Biomarkers Cohort Study. The information about their demographic characteristics, lifestyles, and chronic disease histories were collected. A simplified food frequency questionnaire was used to collect information about their dietary intake in the last month. The food intake frequency and food category score were calculated, and the higher the food category score, the richer the dietary intake. Latent class analysis was used to identify the latent classes of the dietary behavior. Sarcopenia was diagnosed using the SARC-CalF. Multivariate logistic regression model was used to analyze the association of food category scores and different latent classes of the dietary behavior with the risk for sarcopenia.Results:In 4 358 older adults, 1 841 (42.24%) had sarcopenia. The frequencies of intakes of cereals and potatoes, vegetable and fruit, meat and bean products were lower in the sarcopenia group than in the non-sarcopenia group. The risk for sarcopenia decreased with the increase of food category score in older adults ( OR=0.850, 95% CI: 0.796-0.907). Latent class analysis identified 4 latent classes of the dietary behavior. Compared with those with class 1 (frequency of intake of all 5 food species was higher probability in T3 group), those with class 2 (frequency of intake of vegetables and fruits and energy-only foods were less likely to be in the T3 group) and class 3 (frequency of intake of all 5 food species was lower probability in T3 group) had significantly increased risk for sarcopenia ( OR=1.377, 95% CI: 1.131-1.676) and ( OR=1.354, 95% CI: 1.091-1.680), 37.7% and 35.4% increased risk for sarcopenia, respectively. Conclusion:Increasing dietary intake category and sufficient intake of various foods for a balanced dietary pattern can reduce the risk of sarcopenia in older adults.

To analyze the impact of salt reduction interventions on the knowledge, attitude and behavior regarding the salt reduction of students′ parents based on the home-school interaction model. In April 2021, parents of students in grades 3-5 from three primary schools in Yichang City were selected as the target population using a cluster sampling method, and the parent population was divided into an intervention group and a control group. In the intervention group, a comprehensive home-school interaction salt reduction intervention was implemented, and in the control group, no intervention measures were taken for students′ parents. Baseline and final surveys were conducted before and after the intervention period, which included general information, previous salt reduction interventions received, and salt reduction knowledge, attitude and behavior. Difference-in-difference (DID) method was used to compare the knowledge, attitude and behavior status of two groups before and after the intervention, and stratified analysis of parents with different literacy levels was conducted to assess the net effect of intervention implementation. The results showed that 740 parents completed the baseline and final surveys, with 231 in the intervention group and 509 in the control group. After propensity score matching, there were 231 (33.33%) in the intervention group and 462 (66.67%) in the control group. After the intervention, the proportion of the intervention group who obtained salt control spoons and pots, as well as salt reduction knowledge and advice through school, was 87.45%, 86.58% and 75.45%, respectively, which was significantly higher than that in the control group ( P<0.05). After the intervention, the proportion of parents with a high school and lower education who obtained salt control pots was higher in the intervention group (89.23%) than in the control group (74.49%), with significant differences ( P<0.05). The proportion of parents with a college degree or above who obtained salt control spoons and pots, as well as salt reduction knowledge and advice through school, was higher than that of the control group ( P<0.05). The results of DID method showed that after controlling for monthly income and other factors, the scores of parents′ salt reduction-related knowledge and low-salt behavior in the intervention group increased significantly higher than those in the control group, with DID values (95% CI) of 1.18 (0.15-2.21) and 0.62 (0.16-1.09), respectively, indicating a significant net effect of intervention implication. After stratification according to the education level of parents, this difference still existed in the college degree or above group, with DID values (95% CI) of 1.39 (0.13-2.66) and 0.76 (0.16-1.36), respectively. The home-school interaction model for salt reduction measures can improve the salt-related knowledge and low-salt behavioral choices of students′ parents.

Objective:To prepare novel targeted lipid nanobubbles（MEB-NBs）that can be loaded with exosomes（Exo），and test the property and explore the specific invitro target-seeking ability of MEB-NBs. Methods:The core lipid nanobubbles（NBs）were prepared using mechanical oscillation methods，and Exo was connected to the NBs through membrane fusion. The target antibody MYH6 was linked to the NBs using a phospholipid coupling covalent method，resulting in the preparation of targeted lipid nanobubbles MEB-NBs loaded with Exo. The morphology，particle size，and surface potential of the prepared lipid nanobubbles MEB-NBs were observed，and the co-loading of Exo and NBs was verified using laser confocal and fluorescence resonance energy transfer techniques. The in vitro imaging capability and biosafety of MEB-NBs were evaluated，and the loading rate and drug content of Exo carried by MEB-NBs were measured. The ability of MEB-NBs to specifically target hiPSC-CMs cells was observed using flow cytometry，small animal in vivo imaging systems，and laser confocal microscopy. Results:The average particle size of the prepared MEB-NBs was（597.10 ± 47.70）nm，the surface potential was（-11.70 ± 0.21）mV，and the concentration was（2.43 ± 0.06）×10 7/ml. Laser confocal microscopy and FRET results confirmed that the Exo was effectively connected with the NBs；When the Exo concentration was 250 μg/ml，the Exo loading rate and drug loading of MEB-NBs were both 73.8%，and the results of laser confocal microscopy showed that MEB-NBs could be effectively targeted to hiPSC-CMs cells. MEB-NBs were well developed in vitro and had good biological safety. Conclusions:This study constructs novel Exo-loaded targeted lipid nanobubbles（MEB-NBs）that demonstrate stable physicochemical properties and ultrasound imaging capabilities. The developed MEB-NBs precisely target hiPSC-CMs cells，providing an innovative drug delivery system with enhanced therapeutic efficacy for Exo-based therapies.

Objective:To investigate the clinical effect of the divisional design in composite labia minora and clitoral hood reduction.Methods:A retrospective analysis was performed on 57 patients diagnosed with labia minora and clitoral hood hypertrophy at Department of Plastic Surgery, Nanjing Medical University Friendship Plastic Surgery Hospital between July 2018 and May 2021. The ages of the patients ranged from 24 to 45 years with an average of (31.0±8.2) years. Preoperative symptoms and surgical demands included: appearance concerns in 57 cases (100%), irritation during friction in 49 cases (86.0%), and discomfort during intercourse in 22 cases (38.6%). The complex hypertrophy was divided into simple labia minora hypertrophy and clitoral hood hypertrophy. Then the reduction of clitoris hood was performed according to the prepuce morphology, and labiaplasty was performed using edge resection. The operative effects, patient satisfaction, and postoperative complications were assessed.Results:All incisions healed primarily with no flap necrosis or marginal infections. Hematoma occurred in 1 case which recovered well after timely treatment. All patients were followed up for 3-12 months. 54 cases were satisfied with the labia minora and clitoral hood shape and reported no sensory abnormality. Bilateral asymmetry occurred in 2 cases, one of which required further surgical repair. Scar hyperplasia occurred and was gradually softened after 6 months in 1 case. Of the 57 patients with appearance concerns, 55 (96.5%) patients reported improved appearance postoperatively. Of the 49 patients with preoperative friction discomfort, 47 (95.9%) patients achieved symptom relief. Of the 22 patients reporting sexual discomfort, 15 (68.1%) patients noted enhanced sexual satisfaction postoperatively. Overall, 54 (94.7%) patients were satisfied, 2 (3.5%) patients were moderately satisfied, and 1 (1.8%) patient was unsatisfied.Conclusions:For patients with labia minora and clitoral hood hypertrophy, the application of divisional design is surgically simple and safe. It achieves satisfactory outcomes with no severe adverse reactions.