Retinopathy of prematurity(ROP)is a leading cause of childhood blindness, with extremely preterm and very-low-birth-weight infants now constituting the main high-risk group. ROP progresses in two stages: early retinal microvascular degeneration and progressive vascular arrest, followed by abnormal neovascularization in the avascular area. Early oxidative and nitrosative stress—amplified by oxygen fluctuations and immature antioxidant defenses—drives the two-phase pathogenesis via hypoxia-inducible factor/vascular endothelial growth factor(HIF/VEGF), NOX/STAT3, and nuclear factor erythroid 2 related factor 2(Nrf2)-antioxidant response element(ARE)pathways, mediating apoptosis of endothelial cells, damage to barrier and pathological angiogenesis. This review systematically analyzes different oxygen-induced retinopathy(OIR)models, elucidates key signaling pathways including Notch, Wnt in physiological and pathological vascularization, with particular emphasis on the biphasic effects of Nrf2 and the differential roles of NOX signaling between phases. We also discuss the limitations of anti-VEGF therapy and oxygen management principles. Reactive oxygen species(ROS)play context-dependent roles across vaso-obliteration and neovascularization phases. Based on mechanistic insights, we propose future directions including combined/sequential interventions, ferroptosis and lipid peroxidation targeting, nano-delivery systems for enhanced bioavailability, and perinatal safety assessment strategies, aiming to provide translatable mechanistic basis for reducing pathological neovascularization while promoting physiological vascular development.

Increasing evidence shows that the early lesions of Parkinson's disease (PD) originate from gut, and correction of microbiota dysbiosis is a promising therapy for PD. FLZ is a neuroprotective agent on PD, which has been validated capable of alleviating microbiota dysbiosis in PD mice. However, the detailed mechanisms still need elucidated. Through metabolomics and 16S rRNA analysis, we identified glycoursodeoxycholic acid (GUDCA) was the most affected differential microbial metabolite by FLZ treatment, which was specially and negatively regulated by Clostridium innocuum, a differential microbiota with the strongest correlation to GUDCA production, through inhibiting bile salt hydrolase (BSH) enzyme. The protection of GUDCA on colon and brain were also clarified in PD models, showing that it could activate Nrf2 pathway, further validating that FLZ protected dopaminergic neurons through promoting GUDCA production. Our study uncovered that FLZ improved PD through microbiota-gut-brain axis, and also gave insights into modulation of microbial metabolites may serve as an important strategy for treating PD.

Although enteric glial cell (EGC) abnormal activation is reported to be involved in the pathogenesis of Parkinson's disease (PD), and inhibition of EGC gliosis alleviated gut and dopaminergic neuronal dysfunction was verified in our previous study, the potential role of gut microbiota on EGC function in PD still need to be addressed. In the present study, fecal microbiota transplantation revealed that EGC function was regulated by gut microbiota. By employing 16S rRNA and metabolomic analysis, we identified that 3-indolepropionic acid (IPA) was the most affected differential microbial metabolite that regulated EGC gliosis. The protective effects of IPA on PD were validated in rotenone-stimulated EGCs and rotenone (30 mg/kg i.g. for 4 weeks)-induced PD mice, as indicated by decreased inflammation, improved intestinal and brain barrier as well as dopaminergic neuronal function. Mechanistic study showed that IPA targeted pregnane X receptor (PXR) in EGCs, and inhibition of IL-13Rα1 involved cytokine-cytokine receptor interaction pathway, leading to inactivation of downstream JAK1-STAT6 pathway. Our data not only provided evidence that EGC gliosis was critical in spreading intestinal damage to brain, but also highlighted the potential role of microbial metabolite IPA in alleviating PD pathological damages through gut-brain axis.

[This corrects the article DOI: 10.1016/j.apsb.2025.02.029.].

Objective: To investigate the association between childhood obesity and type 2 diabetes mellitus (T2DM) as well as coronary artery heart disease (CHD). Methods: Genome-wide association study (GWAS) data for childhood obesity were collected from the ECG consortium, encompassing information on children aged 2 to 18 years, including 18 613 cases and 12 696 controls. GWAS data for T2DM were collected from the DIAGRAM consortium, including 242 283 cases and 1 569 734 controls. GWAS data for CHD were collected from the CARDIoGRAMplusC4D consortium, including 10 801 cases and 137 371 controls. Pleiotropic genes associated with both T2DM and CHD were analyzed using the MAGMA, PLACO and conditional false discovery rate (cFDR) methods. Mendelian randomization (MR) analysis was performed using inverse variance weighted (IVW) method, exploring the causal relationships among childhood obesity, T2DM and CHD. Heterogeneity was evaluated using Cochran's Q test, horizontal pleiotropy and exclude outliers were tested using MR-Egger regression and MR-PRESSO test. The mediating variables among the three diseases were investigated by using a mediation analysis. Results: The results of MAGMA, PLACO and cFDR analyses identified 80 pleiotropic genes associated with both T2DM and CHD, primarily distributed on chromosomes 3, 17 and 19. The MR analysis revealed that childhood obesity increased the risk of T2DM (OR=1.151, 95%CI: 1.033-1.283) and CHD (OR=1.158, 95%CI: 1.068-1.255), T2DM increased the risk of CHD (OR=1.182, 95%CI: 1.139-1.227), and CHD increased the risk of T2DM (OR=1.124, 95%CI: 1.055-1.198). The MR-Egger regression analysis showed no horizontal pleiotropy, and the MR-PRESSO test did not identify any outliers (all P>0.05). Mediation analysis indicated that childhood obesity directly increased the risk of CHD (effect value=0.096, 95%CI: 0.012-0.180) and indirectly increased the risk of CHD through T2DM (effect value=0.023, 95%CI: 0.005-0.041), with the mediation effect accounting for 15.65% of the total effect. Conclusions There are potential causal associations between childhood obesity and T2DM as well as CHD, with a bidirectional causal relationship between T2DM and CHD. T2DM also plays a mediating role in the association between childhood obesity and CHD.

The research investigated the characteristics of lymphocyte subsets in peripheral blood of children with mycoplasma pneumoniae pneumonia in different infection states. The retrospective cross-sectional study selected 194 children with pneumonia from October 2023 to January 2024 in Zhongnan Hospital of Wuhan University as the study objects, patients aged 7 months to 13 years old, including 91 female children and 103 male children. According to the types of pathogens, the children with pneumonia were divided into single MP infection group (80 cases), non-MP infection group (29 cases) and mixed pathogen infection group (85 cases). According to the mutation of MP23S rRNA gene, the MPP children were divided into drug-resistance group (112 cases) and non-drug-resistance group (53 cases). According to the results of bronchoscopy and imaging, the MPP children were divided into severe group (35 cases) and mild group (130 cases). Pathogen infection, the percentage and absolute count of lymphocyte subsets in peripheral blood, hypersensitive CRP, interferon-γ, tumor necrosis factor-α, interleukin-10, interleukin-4, interleukin-6 and interleukin-2 in each group were analyzed retrospectively. The levels of the test items in each group were compared. The value of peripheral blood lymphocyte subsets in the diagnosis of MPP in children was evaluated by ROC curve. The results showed that the co-infection rate of MPP children was 51.51% (85/165). Streptococcus pneumoniae was the most common co-infection (39/85, 45.88%), followed by Haemophilus influenzae (26/85, 30.89%). The mutation rate of MP resistance gene was 67.88% (112/165) in MPP children tested for tNGS in bronchoalveolar lavage fluid. The absolute counts (cells/μl) of CD3 +, CD3 +CD4 +, CD3 +CD8 +, CD3 -CD19 +, CD3 -CD16 +CD56 +and CD3 +CD16 +CD56 + in the simple MP group (1 164, 612, 415, 242, 168, 50) and the mixed pathogen group (1 285, 694, 457, 313, 176, 52) were significantly lower than those in the non-MP group (2 092, 1 037, 660, 541, 295, 86) ( P<0.05). There was no significant difference between drug-resistant group and non-drug-resistant group ( P>0.05). The CD3 +CD4 +% (34.91) and the absolute counts of CD3 -CD16 +CD56 + (148 cells/μl) in severe group was significantly lower than that in mild group (37.91, 187 cells/μl), and CD3 -CD19 +% (19.48) was significantly higher than that in mild group (16.33) ( P<0.05). The median values (cells/μl) of CD3 + (1 093, 925), CD3 +CD4 + (576, 543), CD3 +CD8 + (401, 356), CD3 -CD19 + (238, 234) and CD3 -CD16 +CD56 + (181, 153) in MPP children aged 4 to 8 years and 9 to 12 years were lower than the reference range in corresponding age. ROC curve analysis showed that the AUC of peripheral blood lymphocyte subsets for MPP diagnosis was 0.813, and the sensitivity was 79.3%, the specificity was 75%. In conclusion, the co-infection rate of MPP children was higher than single MP infection. The characteristics of peripheral blood lymphocyte subsets in children with pneumonia were that the absolute count test value of MPP children was significantly lower than that of non-MP infection, and there are differences between MPP children clinical types.

Objective lt aims to identify key issues in the current informatization development of internal control over revenue and expenditure in public hospitals.The findings are intended to serve as a reference for deepening this informatization effort.Methods Following the steps and requirements of content analysis method,it involved a semi-quantitative analysis of policies and expert interviews to establish an analytical framework.Two researchers uti-lized NVivo 15 software to analyze the policy and articles.The analysis results were quantified statistically,and key is-sues were summarized.Results lt developed a content analysis framework comprising 5 primary categories and 17 secondary categories.Based on this framework,326 analytical units extracted from 81 articles were categorized and statistically analyzed.Key problems corresponding to each secondary category were summarized.Conclusion To ad-dress five key issues,it proposes a five-dimensional solution including:building a digital foundation to integrate busi-ness systems;establishing a Master Data Management platform to dismantle data silos;developing flexible ap-proval mechanismsfor medical emergencies;deploying an Al risk control hub for precise payment interception,and implementing zero-trust architecture to enhance e-bill anti-counterfeiting-ultimately forming a business-finance-in-tegrated,data-and-Al-driven,proactively secured internal control system covering budget formulation to fund su-pervision.

Objective: To investigate the epidemiological characteristics of hepatitis E in Shaoxing City, Zhejiang Province from 2006 to 2024, so as to provide the evidence for the prevention and control of hepatitis E. Methods: Data on hepatitis E incidence in Shaoxing City from 2006 to 2024 were collected through the Surveillance System of China Information System for Disease Control and Prevention. The epidemiological characteristics were analyzed using descriptive epidemiological methods. The trend in hepatitis E incidence was analyzed using the average annual percent change (AAPC) and annual percent change (APC). The spatial-temporal clustering characteristics of hepatitis E incidence were identified using spatial-temporal scanning analysis. Results: A total of 2 408 hepatitis E cases were reported in Shaoxing City from 2006 to 2024, with an average annual reported incidence of 2.55/100 000. The overall trend was not statistically significant (AAPC=3.181%, P>0.05). Specifically, it showed an upward trend from 2006 to 2011 (APC=17.371%, P<0.05), a downward trend from 2011 to 2019 (APC=-12.497%, P<0.05), and an upward trend from 2019 to 2024 (APC=18.076%, P<0.05). The epidemic season of hepatitis E was from January to May, with seasonal indices of 122.09%, 118.60%, 145.02%, 129.57%, and 106.15%, respectively. The top three average annual reported incidences were identified in Zhuji City, Xinchang County, and Shengzhou City, with rates of 4.18/100 000, 2.85/100 000, and 2.74/100 000, respectively. The average annual reported incidence of hepatitis E was higher in males than in females (3.52/100 000 vs. 1.56/100 000, P<0.05). A relatively large number of hepatitis E cases were reported among individuals aged 40-<70 years, with 1 639 cases (68.06%). Among them, the group aged 60-<70 years had the highest average annual reported incidence of hepatitis E, at 4.92/100 000. Farmers constituted the predominant occupational group, accounting for 1 515 cases (62.92%). Spatial-temporal scanning analysis identified two clusters in Shaoxing City from 2006 to 2024. The class Ⅰ cluster was located in Shengzhou City, with aggregation time from January 1, 2011 to May 1, 2014. The class Ⅱ cluster was located in Xinchang County, with aggregation time from December 1, 2012 to March 31, 2013. Conclusions The reported incidence of hepatitis E in Shaoxing City from 2006 to 2024 exhibited a pattern of an initial increase, followed by a decrease, and then a subsequent rise. The disease demonstrated higher prevalence during the winter and spring seasons. Key populations for targeted control and prevention include males, individuals aged 40-<70 years, and farmers. Shengzhou City and Xinchang County were identified as high-risk areas.

Brain MRI data is characterized by large volumes and susceptibility to noise and artifacts,which pose significant challenges of improving the speed and accuracy of brain tumor detection and analysis due to the tumors'diverse types,shapes,and boundaries that are both similar and highly variable.Therefore,a series of improvements based on YOLOv7 algorithm are proposed for enhancing detection precision and speed:(1)employing partial convolution during feature extraction to reduce the model's parameters and improve overall detection speed;(2)in light of the complex variability of brain tumors,introducing a three-dimensional spatial attention mechanism during feature extraction to enhance the model's focus on critical image features;(3)replacing the original IoU loss function with WIoU to increase the attention to medium-quality anchor boxes during bounding box regression for further improving detection accuracy.Experiments conducted on two public brain tumor datasets,Brain_Tumor and Glioma_of_test,show that the improved model achieves mAP of 96.9%and 92.8%,which are 1.4%and 2.4%higher than the original YOLOv7 model,and the frames per second reach 162.7 and 158.1,showing improvements of 6.4 and 18.2,respectively.These enhancements enable more effective detection of brain tumors in MRI images.