In recent years, China has been facing the dual challenges of declining fertility rates and births, with male reproductive health issues, especially the decline in semen quality, identified as a pivotal contributor to this phenomenon. Meanwhile, accumulating evidence indicates that air pollutants, an increasingly severe environmental problem, can damage semen quality not only directly through their biological toxicity but also indirectly by disrupting the composition of microbial communities in the gut and semen, thereby dysregulating immune function, endocrine homeostasis, and oxidative stress responses. The gut microbiota and semen microbiota, as important components of the human microecosystem, play crucial roles in maintaining reproductive health. This article comprehensively reviewed the research progress on the potential effects of air pollutants (particulate matter and gaseous pollutants), gut microbiota, and semen microbiota on semen quality. Specifically, it elucidated the mechanisms of interaction between these factors and explored how they affect male fertility.

ObjectiveTo investigate the trends in diabetes mortality and potential years of life lost (PYLL) among residents of Huangpu District, Shanghai from 1993 to 2021, to analyze the long-term trends of diabetic patients with different characteristics and to provide a reference for scientific prevention and control of diabetes in aging urban areas. MethodsDiabetes mortality data were obtained from the Huangpu District cause of death registration records in the Shanghai death cause registration system. Indicators such as crude mortality rate, standardized mortality rate, potential years of life lost (PYLL), average years of life lost (AYLL), annual percentage change (APC), and average annual percentage change (AAPC) were used to analyze diabetes-related mortality and life loss. Statistical analyses were performed using software SPSS 21.0 and Joinpoint 5.0.2. ResultsFrom 1993 to 2021, the average annual crude mortality rate of diabetes in Huangpu District was 46.56/100 000, and the average annual standardized mortality rate was 20.44/100 000. The crude mortality rate and standardized mortality rate of diabetes for female residents were higher than those for males. The crude mortality rate showed an overall increasing trend [AAPC=2.81% (95%CI: 0.20%‒5.49%), P<0.05], while the increase in standardized mortality rate significantly slowed [AAPC=0.15% (95%CI: -2.27%‒2.63%)], P<0.05]. The mortality rate rose rapidly in the 70‒74 years age group and peaked in the 85‒ years age group (607.69/100 000). Diabetes accounted for a cumulative PYLL of22 741 person-years, with an average annual AYLL of 1.88 years and an average annual potential years of life lost rate (PYLLR) of 0.82‰. Male residents had higher PYLL, AYLL, and PYLLR than females. ConclusionDiabetes mortality rates in Huangpu District have increased year by year, resulting in significant life loss. However, the age-standardized mortality rate increase has markedly slowed. Efforts should focus on elderly diabetic patients aged ≥70 years, by leveraging platforms such as community-based chronic disease health support centers, efforts should be made to enhance diabetes screening service for middle-aged and elderly residents. Consequently, elderly diabetic patients’ awareness of diabetes and responce to related complications is improved, which would be conducive to controling the progression of complications and reducing the mortolity risk of diabetes.

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 explore the evaluation of 256 slice spiral computed tomography angiography(CTA)of coronary,serum lipoprotein associated phospholipase A2(Lp-PLA2)and angiopoietin like protein 3(ANGPTL3)on the severity of coronary artery stenosis of patients with coronary heart disease.Methods:A total of 102 patients with coronary heart disease who were diagnosed and treated at Hebei Chest Hospital from July 2022 to March 2023 were selected as the study subjects.According to the Gensini score about the severity of coronary artery stenosis,they were divided into mild stenosis group(0 score≤Gensini score≤20 scores),moderate stenosis group(20 scores60 scores),with 34 cases in each group.The minimum lumen diameter(MLD),percentage of area of stenosis(%AS),percentage of diameter of stenosis(%DS),minimum lumen area(MLA),Lp-PLA2 and ANGPTL3 among three groups were compared.The diagnostic efficiency of the severity of coronary artery stenosis was predicted according to receiver operating characteristic(ROC)curve.Results:The MLA and MLD values in severe stenosis group were significantly lower than those in moderate and mild stenosis groups,while%AS and%DS were significantly higher than those in moderate and mild stenosis groups(t=6.905,4.083,5.871,6.976,3.387,2.198,2.668,3.505,P<0.05),respectively.The Lp-PLA2 and ANGPTL3 values in severe stenosis group were significantly higher than those in moderate and mild stenosis groups(t=4.164,8.220,2.575,3.050,P<0.05),respectively.ROC curve analysis showed that the area under curve(AUC)values of MLA,MLD,%AS,%DS,CCTA comprehensive parameter,LpPLA2 and ANGPTL3 were respectively were 0.838,0.690,0.742,0.801,0.904,0.808 and 0.807 in predicting the severity of coronary artery stenosis.The sensitivities of them were respectively 91.20%,91.20%,64.70%,94.10%,97.10%,70.60%and 88.20%.The specificities of them were respectively 76.50%,57.40%,75.00%,50.00%,70.60%,97.10%and 70.60%.The AUC value of CCTA comprehensive parameter was respectively higher than that of LpPLA2 and ANGPTL3,but the difference was not statistically significant(P>0.05).Conclusion:256 slice spiral CCTA,serum Lp-PLA2 and ANGPTL3 have a certain efficiency in assessing the severity of coronary artery stenosis of coronary heart disease,and 256 slice spiral CCTA has higher predictive efficiency.

Objective:To summarize the incidence of cerebral venous reflux (CVR) in patients with recent small subcortical infarct (RSSI) and explore its correlation with enlarged perivascular spaces (EPVS).Methods:Patients with RSSI in the lenticulostriate artery admitted to the Department of Neurology of the First Affiliated Hospital of Zhengzhou University from January 2019 to December 2022 were included. The baseline demographic data, medical history, and laboratory results of the patients were collected. CVR was assessed by time-of-flight magnetic resonance angiography. Patients were stratified into 2 groups based on the presence (CVR group) or absence of CVR (non-CVR group), and baseline characteristics as well as laboratory test results were compared between the 2 groups. The location and number of EPVS were evaluated using a visual grading scale, with EPVS with higher scores defined as high-grade EPVS (HEPVS). Simultaneous evaluation of cerebral white matter hyperintensities and lacunar infarctions was conducted, followed by intergroup comparisons. The relationship between EPVS and CVR was studied using multiple Logistic regression analysis.Results:A total of 571 patients with RSSI in the lentiform artery area were ultimately included, including 180 females (31.5%). Their age was (59.37±12.87) years. Among them, 73 patients (12.8%) exhibited CVR based on imaging findings, so the incidence of CVR was 12.8%. In comparison between the CVR group ( n=73) and the non-CVR group ( n=498), the proportion of females [21.9% (16/73) vs 32.9% (164/498), χ 2=3.578, P=0.059] was lower and the proportion of history of smoking [38.4% (28/73) vs 27.7% (138/498), χ 2=3.499, P=0.061] was higher in the CVR group, but without statistical significance. Additionally, the history of alcohol consumption [34.2% (25/73) vs 21.7% (108/498), χ 2=5.621, P=0.018] and the proportion of patients with concomitant HEPVS in the basal ganglia area [41.1% (30/73) vs 25.3% (126/498), χ 2=7.999, P=0.005] was higher in the CVR group with statistical significance. Multiple Logistic regression analysis showed that HEPVS in the basal ganglia region remained independently associated with CVR ( OR=1.988, 95% CI 1.190-3.320, P=0.009). Conclusion:EPVS in the basal ganglia region is significantly associated with CVR in the RSSI population, suggesting that venous dysfunction may be closely related to the formation of EPVS.

Objective:To investigate the feasibility and safety of distal radial artery approach in emergency percutaneous coronary intervention(PCI) of elderly ST-segment elevation myocardial infarction(STEMI) patients.Methods:This study is a cross-sectional study. Elderly patients with acute myocardial infarction who received emergency PCI at the Third Central Hospital of Tianjin from January 2020 to December 2022 were selected. They were divided into the distal radial artery group and the classic radial artery group based on the puncture location. The success rate, puncture time, surgical success rate, and surgical time of the two groups were observed; The incidence of complications in patients, including radial artery occlusion rate, radial artery spasm rate, local hematoma rate, aneurysm incidence rate were recorded.Results:There were 70 cases in the distal radial artery group, including 33 males (47.1%), aged (65.6±6.7) years old; There were 70 cases in the classic radial artery group, including 35 males (50.0%), aged (66.4±6.9) years old. There was no statistically significant difference in puncture success rate, puncture time, surgical success rate, and surgical time between the distal radial artery group and the classical radial artery group ( P>0.05). The incidence of radial artery occlusion in the distal radial artery group was significantly lower than that in the classical radial artery group (1.4% vs. 8.6%, P=0.024). The postoperative compression time in the distal radial artery group was significantly shorter than that in the classical radial artery group ((291.6±10.5) min vs. (343.5±9.8) min, P=0.047). There was no statistically significant difference in the incidence of radial artery spasm, local hematoma, and aneurysm between the two groups ( P>0.05). Conclusions:The distal radial artery approach has a lower radial artery occlusion rate, shorter compression time, and better safety. It can be used as a new approach for emergency PCI in elderly patients with STEMI for clinical application.

Objective:To explore the pain risk of patients with thoracolumbar fractures after percutaneous vertebroplasty(PVP) and analyze its influencing factors.Methods:The clinical data of 120 patients with osteoporotic vertebral compression fracture (OVCF) treated by PVP in Nanjing Central Hospital from March 2019 to March 2024 were analyzed by retrospective case-control study, including 58 males and 62 females. The age ranged from 56 to 86 years, with an average age of (71.06±6.78) years. According to whether there was short-term recurrent pain (SRP) at the primary site after operation, they were divided into SRP group ( n=32) and non-SRP group ( n=88). The gender, age, anesthesia mode and operation time of OVCF patients between the two groups were compared.The measurement data were expressed as mean±standard deviation ( ± s), and t-test was used for comparison between groups; Counting data were expressed as cases and percentage, and Chi-square test was used for comparison between groups. Multivariate Logistic regression method was used to analyze the risk factors of postoperative SRP and put them into nomogram model. Receiver operating characteristic (ROC) curve and calibration curve were selected to analyze and verify the accuracy of prediction. Results:After PVP in 120 patients with OVCF, 32 patients developed SRP, accounting for 26.7%. The proportion of smoking history, long-term use of analgesic drugs, the number of operated vertebral bodies (multiple segments) and the American Association of Anesthesiologists(ASA) classification (Ⅲ-Ⅳ grade) in SRP group were higher than those in non-SRP group, while the proportion of fracture segments(thoracic vertebrae) and bone mineral density were lower than those in non-SRP group, the differences were statistically significant ( P<0.05). Multivariate Logistic regression analysis showed that smoking history ( OR=8.146), bone mineral density ( OR=0.001) and the number of vertebral bodies ( OR=10.595) were independent risk factors for SRP after PVP in OVCF patients ( P<0.05). Conclusions:The risk of SRP after PVP in OVCF patients is high, which needs to be improved. Smoking history, bone mineral density and the number of vertebral bodies after operation are independent risk factors of SRP in OVCF patients after PVP.