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 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 explore the impact of antibiotic exposure on human fertility, so as to provide the reference for related research on risk factors and prevention of infertility. Methods: Publications pertaining to antibiotic exposure and human fertility were retrived in CNKI, Wanfang Data, VIP, PubMed, Embase and Web of Science from inception to March 2024. Two reviewers independently conducted literature screening, data extraction, and quality assessment. A qualitative analysis was performed to investigate the effect of antibiotic exposure on human fertility. Results: A total of 11 623 articles were retrieved, and 31 of them were finally included. Among them, 19 were quasi-experimental studies (4 high-quality and 15 medium-quality), 6 were observational studies (5 high-quality and 1 medium-quality), and 6 were randomized controlled trials (RCTs) with high risks of implementation bias and measurement bias. Sixteen quasi-experimental studies and five RCTs found that the use of sensitive antibiotics such as doxycycline for the treatment of reproductive system infections improved female pregnancy rates or male semen quality. Two quasi-experimental studies and one RCT suggested that antibiotics (such as sirolimus or sulfasalazine) used to treat other systemic diseases might cause adverse effects on the reproductive system. Four observational studies indicated that exposure to antibiotics such as sulfonamides, macrolides, and tetracyclines increased the risk of infertility or prostate cancer. Two observational studies found a dual effect of antibiotics on infertility. Conclusions Antibiotic exposure appears to have either beneficial or harmful effects on fertility, depending on the antibiotic types, doses, and indication. However, these studies have limitations such as small sample size, selection bias, and the inability to achieve randomization and blind methods. Further research with optimized designs is necessary to explore the relationship between antibiotic exposure and fertility.

Objective: To analyze the changing trend of premature death of four major chronic diseases and evaluate the impact on life expectancy in Baoshan District, Shanghai Municipality from 2005 to 2021, so as to provide insights into promoting the prevention and control of chronic diseases. Methods: Death data of permanent residents in Baoshan District from 2005 to 2021 were collected from the Shanghai Center for Disease Control and Prevention Information System. The probability of premature death due to malignant tumors, diabetes, cardiovascular and cerebrovascular diseases and chronic respiratory diseases, and life expectancy among residents were calculated using life table method. The trends of the probabilities of premature death of four major chronic diseases were analyzed using average annual percent change (AAPC). The impact on life expectancy was assessed using Arriaga decomposition method. Results: From 2005 to 2021, the probability of premature death due to four major chronic diseases in Baoshan District showed a tendency towards a decline (AAPC=-1.010%, P<0.05). The decline was more pronounced among females compared to males (AAPC=-2.551% vs. -0.214%, both P<0.05). The life expectancy increased from 80.31 years in 2005 to 84.12 years in 2021, with an increase of 3.40 years in males and 4.32 years in females. The decrease in the probability of premature death due to malignant tumors, cardiovascular and cerebrovascular diseases and chronic respiratory diseases (AAPC=-1.518%, -1.284% and -4.666%, all P<0.05) increased the life expectancy of the population by 0.46, 0.11 and 0.02 years, contributing 12.18%, 2.90% and 0.63%, respectively. The changes in the probability of premature death due to cardiovascular and cerebrovascular diseases in males decreased the life expectancy by 0.12 years, with the negative contribution coming from the 30-39 and 45-59 year-old groups. The increase in the probability of premature death due to diabetes (AAPC=3.731%, P<0.05) decreased life expectancy of the population by 0.11 years, with a contribution of -2.90%. The change in the probability of premature death due to diabetes in females increased the life expectancy by 0.04 years, with a positive contribution coming from the 65-69 year-old group; while the change in the probability of premature death due to diabetes in males reduced the life expectancy by 0.20 years, with the negative contributions coming from all age groups. Conclusions The probability of premature death due to major chronic diseases in Baoshan District declined from 2005 to 2021 and the life expectancy increased. Attention should be paid to the impacts of premature death due to diabetes and cardiovascular and cerebrovascular diseases on life expectancy in males.

Objective: To analyze the changing trend of premature death of four major chronic diseases and evaluate the impact on life expectancy in Baoshan District, Shanghai Municipality from 2005 to 2021, so as to provide insights into promoting the prevention and control of chronic diseases. Methods: Death data of permanent residents in Baoshan District from 2005 to 2021 were collected from the Shanghai Center for Disease Control and Prevention Information System. The probability of premature death due to malignant tumors, diabetes, cardiovascular and cerebrovascular diseases and chronic respiratory diseases, and life expectancy among residents were calculated using life table method. The trends of the probabilities of premature death of four major chronic diseases were analyzed using average annual percent change (AAPC). The impact on life expectancy was assessed using Arriaga decomposition method. Results: From 2005 to 2021, the probability of premature death due to four major chronic diseases in Baoshan District showed a tendency towards a decline (AAPC=-1.010%, P<0.05). The decline was more pronounced among females compared to males (AAPC=-2.551% vs. -0.214%, both P<0.05). The life expectancy increased from 80.31 years in 2005 to 84.12 years in 2021, with an increase of 3.40 years in males and 4.32 years in females. The decrease in the probability of premature death due to malignant tumors, cardiovascular and cerebrovascular diseases and chronic respiratory diseases (AAPC=-1.518%, -1.284% and -4.666%, all P<0.05) increased the life expectancy of the population by 0.46, 0.11 and 0.02 years, contributing 12.18%, 2.90% and 0.63%, respectively. The changes in the probability of premature death due to cardiovascular and cerebrovascular diseases in males decreased the life expectancy by 0.12 years, with the negative contribution coming from the 30-39 and 45-59 year-old groups. The increase in the probability of premature death due to diabetes (AAPC=3.731%, P<0.05) decreased life expectancy of the population by 0.11 years, with a contribution of -2.90%. The change in the probability of premature death due to diabetes in females increased the life expectancy by 0.04 years, with a positive contribution coming from the 65-69 year-old group; while the change in the probability of premature death due to diabetes in males reduced the life expectancy by 0.20 years, with the negative contributions coming from all age groups. Conclusions The probability of premature death due to major chronic diseases in Baoshan District declined from 2005 to 2021 and the life expectancy increased. Attention should be paid to the impacts of premature death due to diabetes and cardiovascular and cerebrovascular diseases on life expectancy in males.

Objective:To report a large family of epileptic seizures caused by DEPDC5 gene variation, and to conduct a clinical genetic analysis on a proband in this family with both DEPDC5 gene mutation and a de novo GABRA1 gene mutation. Methods:The medical records of a family suffering from epilepsy due to a newly identified DEPDC5 gene variant were compiled from cases admitted to Hebei General Hospital in January 2024. The relevant genetic detection was carried out by sampling the peripheral blood of the family members. The whole exome sequencing techniques were employed for the identification of pathogenic mutation sites in the proband. The next generation sequencing technology was utilized for other family members to identify disease-causing mutation sites associated with the clinical phenotype of patients, and these findings were confirmed using first-generation Sanger sequencing technology. Results:The proband, who experienced seizures in early childhood and harbored two gene mutation sites, exhibited an early onset age along with significant delays in both intellectual and motor development. The primary clinical manifestations included focal seizures, myoclonus, and tonic-clonic symptoms. When compared with other family members who had the onset of epilepsy during adolescence, carried only one mutation site, and had generalized epileptic seizures and mostly accompanied by attention deficit hyperactivity disorder, the proband showed obvious clinical heterogeneity. The results of whole exome sequencing indicated that the proband had both GABRA1 c.640C>T(p.Arg214Cys) and DEPDC5 c.4348A>T(p.Lys1450 *) mutations inherited from the father. The mutation inherited from the father was reported here for the first time and had not been reported before, with the paternal mutation traceable to the proband's grandfather, while the proband's mother and grandmother were found to be devoid of the mutation. In this family, 5 patients with similar seizure phenotype all had pathogenic mutations at the same locus of the DEPDC5 gene(c.4348A>T, p.Lys1450 *), and the remaining 3 patients with seizure symptoms were not tested. Conclusions:The DEPDC5 gene mutation is the cause of the disease in this family, and the c.4348A>T is the newly discovered mutation site. The proband carries the mutation sites of both GABRA1 gene and DEPDC5 gene. The clinical manifestations of proband are significantly heterogeneous compared with those of his family members.

Objective:To investigate the neuroprotective effect of hesperidin combined with enriched environment on ferroptosis in collagenase-induced intracerebral hemorrhage(ICH) mouse model as well as the ferroptosis mechanism.Methods:ICH model was established by injecting collagenase Ⅶ into caudate putamen nucleus. Ninty C57BL/6J mice were randomly divided into 6 groups according to a random number table: sham group, intracerebral hemorrhage group, enriched environment group, hesperidin group, enriched environment and hesperidin group (combination group), and combination group + Nrf2 specific inhibitor ML385 (inhibitor group), with 15 mice in each group. The mice in inhibitor group, intracerebral hemorrhage group, enriched environment group, hesperidin group and combination group were injected with 0.5 μL collagenase type Ⅶ solution (0.075 U/μL, dissolved with 0.9% NaCl solutin) for ICH modeling, and the mice in sham group were injected with 0.9% normal saline. The hesperidin group, combination group, and inhibitor group were given hesperidin solution (dissolved in 0.5% carboxymethyl cellulose sodium) by gavage within 6 hours after the modeling surgery. The sham group, intracerebral hemorrhage group, and enriched environment group were given equal volumes of 0.5% carboxymethyl cellulose sodium solution by gavage. The inhibitor group was intraperitoneally injected with Nrf2 specific inhibitor ML385 (30 mg/kg, dissolved in 5% DMSO), while the other groups were intraperitoneally injected with an equal volume of 5% DMSO. Both gastric perfusion and intraperitoneal injection were completed within 6 hours after the end of modeling operation, once a day for 14 days. After the postoperative recovery of the mice, the enriched environment group, combination group, and inhibitor group were placed in enriched environment cages, while the sham group, intracerebral hemorrhage group, and hesperidin group were placed in regular cages. After all intervention were completed, all mice were evaluated using the modified neurological severity score (mNSS). Then the mice were subjected to brain water content detection, Prussian blue staining, ELISA detection of changes in malondialdehyde (MDA), superoxide dismutase (SOD), reactive oxygen species (ROS), glutathione peroxidase 4 (Gpx4), PCR and Western blot detection of nuclear factor E2 related factor 2 (Nrf2) and Gpx4 at the mRNA level and protein level. The GraphPad Prism 9 software was used for statistical analysis. ANOVA was used for multi-group comparison, and Tukey test was used for multiple comparisons.Results:(1) There was a statistically significant difference in mNSS scores among the 6 groups ( F=66.35, P<0.001). The mNSS score of the intracerebral hemorrhage group(8.00±1.46) was higher than that of the sham group(0.86±0.83)( P<0.05). The mNSS scores of the enriched environment group (6.47±1.13) and hesperidin group (6.13±1.25) were lower than that of the intracerebral hemorrhage group, but higher than that of the combination group (4.53±1.30)(all P<0.05). (2) There was a statistically significant difference in the percentage of brain water content among the 6 groups ( F=33.29, P<0.001). The percentage of brain water content in the intracerebral hemorrhage group was higher than that in the sham group.The percentage of brain water content in the enriched environment group and hesperidin group were lower than that in the intracerebral hemorrhage group, but higher than that in the combination group (all P<0.05). (3) The result of Prussian blue staining showed that iron deposition in the intracerebral hemorrhage group was higher than that in the sham group, while the iron depositions in the enriched environment group and hesperidin groups were lower than that in the intracerebral hemorrhage group, but higher than that in the combination group(all P<0.05). (4) There were statistically significant differences in the expression levels of Nrf2 and Gpx4 mRNA and protein among the 6 groups ( F=27.73, 31.24, 26.79, 13.79, all P<0.001). The mRNA and protein levels of Nrf2 and Gpx4 in the combination group were higher than those in the enriched environment group, hesperidin group, but higher than those in the inhibitor group(all P<0.05). (5) The results of ELISA showed that the levels of MDA, Gpx4, ROS, and SOD in the brain tissues of 6 groups were statistically significant ( F=111.20, 21.53, 29.45, 22.75, all P<0.001). Among them, the MDA and ROS in the combination group ((14.05±0.57) nmol/mL, (75.46±3.40) ng/mL) were lower than those in the enriched environment group ((18.17±2.51) nmol/mL, (97.23±3.43) ng/mL), hesperidin group ((17.24±0.68) nmol/mL, (90.02±9.46) ng/mL) and the inhibitor group ((17.08±0.64) nmol/mL, (101.07±3.38) ng/mL), while Gpx4 and SOD ((340.40±31.21) pg/mL, (62.55±2.81) ng/mL) were higher than those in the enriched environment group ((267.81±27.17) pg/mL, (50.47±8.38) ng/mL), hesperidin group ((271.55±34.36) pg/mL, (50.55±8.19) ng/mL) and the inhibitor group ((235.65±72.54)pg/mL, (52.67±3.56)ng/mL)(all P<0.05). Conclusion:Enriched environment and hesperidin can inhibit ferroptosis after ICH by activating the Nrf2/GPX4 pathway, exerting neuroprotective effects on ICH mouse models, and the combined treatment of the enriched environment and hesperidin has a more significant effect.