Background Benign prostatic hyperplasia (BPH) is a common chronic urinary disease in middle-aged and older men, yet the impact of long-term exposure to atmospheric particulate matter (PM) on its pathogenesis remains unclear. Objective To investigate the association between PM exposure and the risk of incident BPH in middle-aged and older men. Methods Based on four waves of follow-up data (2011–2018) from the China Health and Retirement Longitudinal Study (CHARLS), 4766 participants were enrolled. Robust Poisson regression models were employed to assess the association between exposure to PM (PM₁, PM_2.5, and PM₁₀) and the risk of incident BPH. Relative risks (RR) and their corresponding 95% confidence intervals (95%CI) were calculated. Dose-response relationships were fitted using restricted cubic splines (RCS). Subgroup analyses were performed to explore potential effect modifications, and multiple imputation was used to handle missing data. Results Over a mean follow-up of 6 years, 914 incident BPH cases were identified among the4766 participants (cumulative incidence: 19.18%). After adjusting for confounders, each 10 μg·m⁻³ increase in PM₁, PM_2.5, and PM₁₀ concentrations was associated with a 13.1% (RR=1.131, 95%CI: 1.063, 1.203), 8.5% (RR=1.085, 95%CI: 1.050, 1.122), and 5.1% (RR=1.051, 95%CI: 1.034, 1.069) increased risk of BPH, respectively. RCS analysis showed that no nonlinear relationship was found between PM₁ and PM_2.5 and the risk of BPH (P>0.05); however, a nonlinear association was observed for PM₁₀ (P=0.03), with the risk increment slowing beyond 100 μg·m⁻³. Subgroup and sensitivity analyses confirmed the robustness of these findings. Conclusion Long-term exposure to ambient particulate matter may be associated with an increased risk of incident BPH in middle-aged and older men.

Background Benign prostatic hyperplasia (BPH) is a common chronic urinary disease in middle-aged and older men, yet the impact of long-term exposure to atmospheric particulate matter (PM) on its pathogenesis remains unclear. Objective To investigate the association between PM exposure and the risk of incident BPH in middle-aged and older men. Methods Based on four waves of follow-up data (2011–2018) from the China Health and Retirement Longitudinal Study (CHARLS), 4766 participants were enrolled. Robust Poisson regression models were employed to assess the association between exposure to PM (PM₁, PM_2.5, and PM₁₀) and the risk of incident BPH. Relative risks (RR) and their corresponding 95% confidence intervals (95%CI) were calculated. Dose-response relationships were fitted using restricted cubic splines (RCS). Subgroup analyses were performed to explore potential effect modifications, and multiple imputation was used to handle missing data. Results Over a mean follow-up of 6 years, 914 incident BPH cases were identified among the4766 participants (cumulative incidence: 19.18%). After adjusting for confounders, each 10 μg·m⁻³ increase in PM₁, PM_2.5, and PM₁₀ concentrations was associated with a 13.1% (RR=1.131, 95%CI: 1.063, 1.203), 8.5% (RR=1.085, 95%CI: 1.050, 1.122), and 5.1% (RR=1.051, 95%CI: 1.034, 1.069) increased risk of BPH, respectively. RCS analysis showed that no nonlinear relationship was found between PM₁ and PM_2.5 and the risk of BPH (P>0.05); however, a nonlinear association was observed for PM₁₀ (P=0.03), with the risk increment slowing beyond 100 μg·m⁻³. Subgroup and sensitivity analyses confirmed the robustness of these findings. Conclusion Long-term exposure to ambient particulate matter may be associated with an increased risk of incident BPH in middle-aged and older men.

Objective To compare the dosimetric differences in the heart and its substructures between two hybrid plans for hypofractionated whole-breast radiotherapy after breast-conserving surgery in patients with early-stage left-sided breast cancer. Methods A total of 46 patients with early-stage left-sided breast cancer who underwent hypofractionated whole-breast radiotherapy were randomly selected. Two hybrid radiotherapy plans were used, including hybrid intensity-modulated radiotherapy (H_IMRT) and hybrid volumetric-modulated arc therapy (H_VMAT). The heart and its substructures were contoured, including left anterior descending (LAD), left ventricle (LV), right coronary artery (RCA), and right ventricle (RV). The heart and substructure doses, as well as monitor units, were compared between H_IMRT and H_VMAT. Results Both hybrid plans met the clinical requirements. H_IMRT significantly outperformed H_VMAT for the heart (V₁₀, V₃₀, and D_mean), LAD (V₃₀, V₄₀, D_max and D_mean), LV (V₁₀, V₂₀ and D_mean), RCA (D_max, D_mean), and RV (V₅, V₁₀, D_mean) (P < 0.001). Additionally, H_IMRT was significantly superior to H_VMAT for heart V₅, LAD V₂₀, and RV V₂₀ (P = 0.005, 0.035 and 0.037). For LAD (V₁₅, V₄₀) and LV (V₅, V₂₅), H_IMRT was slightly better than H_VMAT, and the difference was not statistically significant. Conclusion Both H_IMRT and H_VMAT hybrid radiotherapy plans are suitable for hypofractionated whole-breast radiotherapy after breast-conserving surgery in patients with early-stage left-sided breast cancer. H_IMRT is slightly better than H_VMAT in dose sparing for the heart and its substructures.

Objective To evaluate the efficacy and safety of dupilumab combined with 2％cleboride ointment in the treatment of moderate to severe atopic dermatitis,as well as its impact on serological indica-tors.Methods A retrospective analysis was conducted on the clinical data of 67 patients with moderate to se-vere atopic dermatitis(AD)admitted to the Department of Dermatology of Shaoxing University Affiliated Hospital from March 2021 to December 2024.The study subjects were divided into an experimental group(n=35)and a control group(n=32)according to the treatment method.The experimental group was treated with Dupilumab injection and 2％Cleboride ointment,while the control group was treated with ebastine tab-lets and 2％cleboride ointment.Clinical and related serological indicators of patients after 16 weeks of treat-ment were collected,and the itch digital scale score,eczema area and severity(EASI)score,IL-4,IL-13 levels,and incidence of local skin adverse reactions were analyzed before and after treatment in both groups.Results The total effective rate of the experimental group after treatment was 94.29％(33/35),which was higher than the control group[53.13％(17/32)],and the difference was statistically significant(x2=12.862,P＜0.001).There was no statistically significant difference in symptom scores,IL-4,and IL-13 levels between the two groups before treatment(P＞0.05).After treatment,the symptom scores of the experimental group were lower than those of the control group,and the difference was statistically significant(P＜0.05).The lev-els of IL-4 and IL-13 in the experimental group were lower than those in the control group,and the difference was statistically significant(P＜0.05).The incidence of adverse reactions in the experimental group was 2.86％(1/35),significantly lower than the 34.38％(11/32)in the control group,and the difference was sta-tistically significant(x2=9.252,P=0.002).Conclusion The combination of dupilumab injection and 2％cleboride ointment is effective in relieving skin symptoms,regulating cellular immune function,reducing in-flammatory reactions,and minimizing local skin adverse reactions in patients with moderate to severe AD.It is worthy of clinical promotion and use.

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.

In February 2025, a local cluster outbreak caused by the D8 genotype Measles virus (MV) was first discovered in Henan Province. Epidemiological investigations and laboratory testing were conducted, including the collection of serum and throat swabs for MV IgM antibody and nucleic acid detection, virus isolation and genetic homology analysis. Measures such as close contact tracing, vaccination rate assessment and supplementary immunization activities were implemented, successfully preventing broader community transmission. A total of three cases were reported during the outbreak, including one imported-related adolescent and two secondary local adult cases. All cases presented with typical symptoms such as fever and rash. Both adult cases were complicated by pneumonia, with one case developing into severe pneumonia. MV genotyping showed that the two secondary cases were both the D8 genotype, with the viral sequences being completely homologous to the Kazakhstan strain. Among the close contacts, 98.2% were adults, and 142 individuals received emergency vaccination.

Objective:To evaluate the effects of laser moxibustion(LM)on tumor-related immunity in tumor-bearing mice.Methods:Thirty male C57BL/6 mice were randomized into a control group,a model group,and an LM group,with 10 mice in each group.Mice in the control group did not receive any intervention,and mice in the model group and LM group were injected into the right armpit with 1×107 cells/mL Lewis lung carcinoma cells to induce tumor models.From the first day after the injection,the LM group mice were irradiated with LM at Guanyuan(CV4)and bilateral Zusanli(ST36),5 min each point for a total of 15 min,once daily for 15 consecutive days.From the day of visible tumor formation(i.e.,day 8),mice in the model and LM groups were measured every other day with a vernier caliper to calculate the tumor volume.On day 16 after injection,the serum,lung,spleen,and tumors of the mice were harvested.Hematoxylin-eosin staining was used to observe tumor pulmonary metastasis.Changes in the serum levels of programmed death 1(PD-1)and programmed death-ligand 1(PD-L1)were analyzed by enzyme-linked immunosorbent assay;the abundance of PD-1 and PD-L1 proteins in tumors was determined by Western blotting;and the proportions of lymphocyte subsets and myeloid-derived suppressor cells(MDSCs)in tumors and spleen were determined by flow cytometry.Results:Compared to the model group,the tumor volume of mice in the LM group decreased significantly on days 8 and 10(P<0.05);the lung tissues of the LM group showed no apparent tumor atypia;the proportion of monocytic MDSCs(M-MDSCs)in the tumors of LM group mice decreased(P<0.05);the PD-1 and PD-L1 levels in the serum of mice in the LM group declined with statistically significant variation in the reduction of PD-L1(P<0.01);PD-1 and PD-L1 protein expression in the tumor tissues of mice in the LM group reduced significantly(P<0.01).Conclusion:LM intervention can reduce the expression of PD-1 and PD-L1 in the serum of tumor-bearing mice,decrease the expression of PD-1 and PD-L1 proteins and the proportion of M-MDSCs in tumor tissues.These effects may be one of the mechanisms by which LM slows the early-stage growth of Lewis lung carcinoma tumor in mice.