Platelets are small, anucleated cells generated by cytoplasmic fragmentation and shedding from mature megakaryocytes. Upon vascular stimulation or injury, platelets become activated and adhere to exposed vascular endothelial cells, ultimately forming thrombi to promote blood coagulation and wound healing. In recent years, increasing evidence from in-depth studies on platelet function has revealed that autophagy plays a crucial role in platelet production and functional performance. Autophagy is an intracellular process of material recycling and reuse, involving autophagosome formation, cargo degradation, and nutrient recycling, which facilitates the maintenance of homeostasis and defense against pathogen infection. Numerous studies have demonstrated that autophagy participates in the regulation of platelet production, activation, and aggregation, and is closely implicated in the pathogenesis of platelet dysfunction-related diseases such as immune thrombocytopenia. Additionally, platelet-rich plasma therapy, by modulating the autophagic process, has shown great potential in treating osteoarthritis and promoting diabetic foot wound healing. This review thoroughly explores the potential roles of autophagy in regulating platelet production and function, as well as in platelet-related diseases. Future research should focus on the molecular mechanisms of platelet autophagy, investigate its dynamic changes under different disease conditions, and explore how autophagy modulation can improve platelet function and treat related diseases. This will provide a theoretical foundation for developing novel therapeutic strategies and is expected to bring breakthroughs in the treatment of platelet-related diseases.

Objective: Blood safety surveillance is a critical measure for the objective assessment of blood quality and enhancing transfusion safety. This study aims to comprehensively understand the current status of blood safety surveillance and management in blood collection and supply institutions in Sichuan Province, systematically analyze existing problems and vulnerabilities, and provide a basis for optimizing management strategies and improving capabilities to ensure blood safety. Methods: The Blood Safety Surveillance questionnaire was designed, covering adverse donor reaction reporting, management of adverse events, and transfusion adverse reaction feedback. An online survey was conducted via Questionnaire Star platform among 21 blood collection and supply institutions in the province, gathering information on management systems, process implementation, and utilization of monitoring data. The collected data were organized and statistically analyzed using Excel. Results: The questionnaire response rate and validity rate were both 100%. Blood collection and supply institutions in Sichuan Province have generally established a blood safety surveillance system and achieved positive outcomes. Regarding adverse events in blood collection and supply, 95.24% (20 institutions) have established reporting procedures, and 66.67% (14) collect information through multiple channels such as internal reports, external reports, and statistical trend feedback. A total of 90.48% (19) institutions regularly summarize and analyze adverse event data, and 85.71% (18) produce reports with improvement recommendations based on this analysis.71.43% (15) institutions implement reward and penalty measures, and 71.43% (15) report underreporting or omission due to accountability or performance concerns. In terms of monitoring adverse blood donation reactions, all blood collection and supply institutions have established full-process management systems.76.19% (16) collect data through multiple approaches, including on-site donation records, voluntary donor reports, and donor follow-ups. Adverse reactions were followed up in 95.24% (20) of institutions with 65% (13) completing follow-ups within 24 hours.80.95% (17) have established investigation procedures, while 66.67% (14) believe underreporting or omission still occurs. All blood collection and supply institutions regularly compile statistics on adverse donation reactions. Of these, 85.71% (18) institutions providing feedback to management departments and 90.48% (19) analyzing the data and making recommendations.76.19% (16) institutions use monitoring data for return donor management and targeted care, and 71.43% (15 stations) incorporate it into management reviews. Regarding adverse transfusion reactions, 95.24% (20) institutions have established and implemented procedures for isolating, recalling, and tracing of problematic blood units. However, only 42.86% (9) have established feedback mechanisms of adverse transfusion reaction with hospitals, and only 19.05% (4) support direct reporting via information systems.47.62% (10) institutions regularly analyze adverse transfusion reaction data, and 19.05% (4) provide feedback and recommendations to relevant hospitals. All blood collection and supply institutions reported challenges in collecting hospital feedback, citing complexities in data collection and reporting processes. Conclusion: Blood safety surveillance systems have been preliminarily established in Sichuan Province. However, further strengthening is still required, including conducting in-depth data analysis and utilization, standardizing the configuration of emergency medications and equipment, and improving feedback mechanisms for adverse transfusion reactions. To improve the overall level of blood safety management, it is recommended to strengthen closed-loop data management, improve feedback mechanisms between blood collection and supply institutions and hospitals, foster a non-punitive reporting culture, and systematically advance the regionalization and standardization of the monitoring system. These efforts will contribute to sustainably improving the overall effectiveness and sustainability of blood safety management.

Radiomics enables the extraction of high-throughput quantitative features from ophthalmic images, allowing the identification of subvisual information that is imperceptible to the human eye and offering a novel strategy for the precise diagnosis and treatment of retinal diseases. By quantitatively characterizing subtle differences in retinal structure, texture, and hemodynamic characteristics, and integrating these features with clinical data, radiomics has demonstrated substantial potential in early screening, disease stratification, prediction of treatment responses, and individualized risk assessment of retinal diseases, particularly in common conditions such as diabetic retinopathy and age-related macular degeneration. Despite these promising advances, the clinical translation of radiomics remains challenging. Current limitations include suboptimal model performance and generalizability,as well as insufficient clinical interpretability of radiomic feature and predictive models, which hampers their integration into existing imaging systems and routine clinical workflows. Based on a systematic analysis of relevant articles published over the past five years, this paper summarizes recent progress in the application of radiomics combined with machine learning for the diagnosis and prognostic assessment of retinal diseases, and to discuss the key challenges and future directions for its clinical implementation.

AIM: To evaluate the postoperative clinical efficacy of non-diffractive extended depth of focus intraocular lens(EDOF IOL)in patients with highly myopic cataract(HMC).METHODS:A retrospective analysis was conducted on the clinical data of patients diagnosed with HMC at the hospital from January 2022 to December 2024. Patients were divided into an observation group [undergoing femtosecond laser-assisted cataract surgery(FLACS)combined with non-diffractive EDOF IOL implantation] and a control group(undergoing FLACS combined with aspheric monofocal IOL implantation)according to the type of implanted IOL. Postoperative visual acuity(LogMAR), visual quality, and patient satisfaction were compared between the two groups.RESULTS: A total of 33 patients(47 eyes)were finally included in this study, including 10 patients(17 eyes)in the observation group and 23 patients(30 eyes)in the control group. The observation group had a median age of 59.0(52.8, 63.8)y, with 8 males(13 eyes)and 2 females(4 eyes). The control group had a median age of 56.0(53.5, 60.0)y, with 13 males(17 eyes)and 10 females(13 eyes). At 3 mo postoperatively, the best-corrected distance visual acuity(BCDVA)was 0.10(0.08, 0.12)in the observation group and 0.20(0.10, 0.40)in the control group(P=0.586). However, the best-corrected intermediate visual acuity(BCIVA)[0.10(0.10, 0.10)vs 0.50(0.40, 0.90), P=0.032] and best-corrected near visual acuity(BCNVA)[0.20(0.18, 0.20)vs 0.60(0.45, 1.45), P=0.044] in the observation group were significantly better than those in the control group. The defocus curve showed that the uncorrected visual acuity(UCVA)in the observation group was relatively stable within the range of -2.00 to +1.00 D, which was superior to that in the control group. Postoperative questionnaires showed that the spectacle independence rate(76%)and overall satisfaction(88%)in the observation group were significantly higher than those in the control group(10% and 60%, respectively).CONCLUSION: Non-diffractive EDOF IOL significantly improves intermediate and near visual acuity, reduces spectacle dependence, and maintains distance visual acuity by extending the depth of focus, providing better postoperative visual quality and life satisfaction for HMC patients.

Objective: To examine the changing trajectories of sleep problems and teacher support among first year middle school students and their covariant relationship,so as to provide theoretical basis for the prevention strategy of sleep problems for the first year junior high school students. Methods: In September 2020, a multistage cluster random sampling method was used to select 1 027 first year junior high school students from two schools of Anshun and Guiyang cities in Guizhou Province for survey and follow up assessments (T1:September 2020, T2:October 2020, T3:November 2020, T4:December 2020). The Student Perceived Teacher Support Behavior Questionnaire and Pittsburgh Sleep Quality Index Scale were administered to assess sleep problems and teacher support among first year junior high school students. Spearman correlation analysis was used to examine the relationship between sleep problems and teacher support. A multivariate latent growth curve model was employed to analyze the changing trajectories and covariant relationship between teacher support and sleep problems, followed by a multi group analysis. Results: For first year junior high school students, teacher support scores at T1-T4 were 4.00 (3.47, 4.53), 4.00 (3.47, 4.58), 3.95 (3.47, 4.61) and 4.00 (3.48, 4.67), respectively; sleep problem scores were 0.83 (0.50, 1.17), 0.67 (0.50, 1.17), 0.83 (0.50, 1.17) and 0.67 (0.33, 1.17), respectively. Spearman correlation analysis revealed that teacher support and sleep problems were negatively correlated across all four period ( r =-0.28 to -0.14, all P <0.01). Teacher support perceived by students showed a linear increasing trend (intercept=3.98, slope=0.02), while sleep problems showed a linear decreasing trend (intercept=0.86, slope= -0.02 ) (all P <0.05). The multivariate latent growth model indicated that the rate of increase in teacher support after enrollment effectively predicted the rate of decrease in sleep problem levels ( β=-0.34, P <0.01). Multigroup analysis showed that the covariant relationship was not moderated by gender or boarding status (both P >0.05). Conclusions The increase in teacher support experienced by first year junior high school students during the transition period after enrollment, accompanied by a reduction in sleep problems, constitutes a dynamic protective process. The process is not moderated by gender or boarding status.

Background Liver cancer is one of the common malignant tumors. Phthalates (PAEs), as a widely used class of plasticizers, can participate in the occurrence and progression of liver diseases through multiple pathways. Objective To explore the association between PAEs exposure and liver cancer risk and to provide a scientific basis for the prevention of environment-related tumor risk events. Methods Chi-square test and logistic regression were employed to analyze data from the National Health and Nutrition Examination Survey (NHANES) database between 2001 and 2018, to investigate the association between PAEs exposure and liver cancer. Network toxicology combined with machine learning was used to screen independent prognostic genes associated with PAEs and liver cancer, and to evaluate their correlations with tumor immunity, tumor pathway activation, and tumor drug resistance. Finally, the prediction results were validated using GEO datasets, molecular docking, and molecular dynamics simulations. Results After screening, 11378 eligible samples were obtained from the NHANES database, including 108 patients with liver cancer and 11270 healthy controls. The logistic regression analysis revealed that exposure to nine types of PAEs was positively correlated with liver cancer (OR > 1, P < 0.05). The network toxicology analysis indicated that the association between PAEs exposure and liver cancer was related to three independent prognostic genes: uridine-cytidine kinase 2 (UCK2), glucose-6-phosphate dehydrogenase (G6PD), and albumin (ALB). These three independent prognostic genes were significantly associated with the tumor immune microenvironment, tumor pathway activation, and tumor drug resistance, and exhibited complex interactions with each other. All three independent prognostic genes showed significant differential expression in the validation datasets GSE58043 and GSE115469 (P < 0.05). The results of both molecular docking and molecular dynamics simulations confirmed that these three independent prognostic genes can freely bind to PAEs and form stable complexes. Conclusion Exposure to PAEs is positively correlated with liver cancer. The intrinsic association between the two may involve metabolic disorders, immunosuppression, and activation of inflammatory and tumor-related pathways.

Alzheimer's disease （AD） is a chronic neurodegenerative disorder with an unclear pathogenesis and currently no cure. It is characterized by a long disease course， diverse symptoms， and a persistent， difficult-to-treat nature， which greatly affects the quality of life of elderly patients. Traditional Chinese medicine （TCM） offers significant advantages in the treatment of AD， featuring multi-component， multi-target， and multi-pathway characteristics， with few adverse reactions and good safety. Angelica sinensis is a commonly used medicinal herb. As a frequently used clinical medicine for nourishing and activating blood， it shows significant efficacy in treating blood deficiency syndrome. In recent years， studies have revealed that A. sinensis exhibits significant activity in the prevention and treatment of AD. It contains various active components such as organic acids， volatile oils， and polysaccharides， and possesses pharmacological effects including anti-inflammatory， antioxidant， hepatoprotective， and neuroprotective properties. This article summarizes and outlines the mechanisms of A. sinensis and its compound formulas in the prevention and treatment of AD， providing a reference for its clinical application and the treatment of AD.

ObjectiveTo investigate the effect of kynurenine-3-monooxygenase （KMO） on the function of fibroblast-like synoviocytes （FLS） in rheumatoid arthritis （RA）. MethodsKMO expression in synovial tissues from RA patients and healthy controls （HC） was analyzed using bioinformatics. Synovial tissues from RA patients and HC were collected， and KMO expression in FLS within synovial tissues was detected by immunofluorescence （IF）. In vitro experiments were performed using human rheumatoid arthritis fibroblast-like synoviocytes （MH7A）. Following KMO overexpression， KMO knockdown， and KMO inhibition with the specific inhibitor Ro61-8048 in MH7A cells， Western blot， CCK-8， EdU， Transwell and ELISA assays were used to evaluate alterations in cell viability， proliferation， migration and secretory function. ResultsBioinformatic analysis revealed significantly higher KMO gene expression in RA synovial tissue compared to the HC group （P<0.001）. IF results showed increased KMO expression in FLS from RA synovial tissues relative to the HC group （P<0.01）. Overexpression of KMO led to enhanced viability， proliferation， migration， and secretory capabilities of MH7A cells （all P<0.05）， whereas knockdown or inhibition of KMO with Ro61-8048 markedly suppressed these functions （all P<0.05）. ConclusionThe expression of KMO is upregulated in the synovial tissues of RA patients and promotes the activation of RA-FLS， suggesting that KMO may serve as a potential therapeutic target for RA treatment.

ObjectiveTo explore the mechanism by which Xianglian Huazhuo prescription ameliorates chronic atrophic gastritis （CAG） through regulating the Golgi protein 73 （GP73）/protein kinase R-like endoplasmic reticulum kinase （PERK）/activating transcription factor 4 （ATF4） signaling pathway and modulating endoplasmic reticulum stress （ERS）. MethodA mouse model of CAG was induced by multiple factors， including ranitidine， N-methyl-N′-nitro-N-nitrosoguanidine （MNNG）， and irregular feeding. The CAG mice were randomized into five groups： model， Morodan （2.0 g·kg^-1）， and high-dose， medium-dose， and low-dose （7.6， 3.8， 1.9 g·kg^-1， respectively） Xianglian Huazhuo prescription， with 10 mice in each group. At the same time， 10 mice in normal group were set up. The mice in the Morodan group and the high-dose， medium-dose， and low-dose groups of Xianglian Huazhuo prescription were administrated with corresponding agents by gavage， and those in the normal group and the model group were administrated with an equal volume of normal saline. All the mice were intervened once a day for 60 consecutive days. After the last administration， the overall morphological changes of the gastric tissue were observed. Hematoxylin-eosin （HE） staining and transmission electron microscopy （TEM） were used to evaluate the pathological morphology and the endoplasmic reticulum ultrastructure in the gastric tissue. The serum levels of pepsinogen Ⅰ （PGⅠ）， pepsinogen Ⅱ （PGⅡ）， gastrin-17 （G-17）， and GP73 were determined by enzyme-linked immunosorbent assay （ELISA）. The pepsinogen ratio （PGR， PGⅠ/PGⅡ） was calculated. The protein levels of GP73， PERK， phosphorylated （p）-PERK， glucose-regulated protein 78 （GRP78）， ATF4， CCAAT enhancer-binding protein homologous protein （CHOP）， cysteinyl aspartate-specific protease-12 （Caspase-12）， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax） were assessed by Western blot. The expression of GRP78 was detected by immunofluorescence （IF） assay， and the location of Bcl-2 and Bax by immunohistochemistry （IHC）. ResultsCompared with the normal group， the model group showed pale gastric mucosa with flattened folds and reduced and loosely arranged gastric mucosal glands， declined serum levels of PGI， PGR， G-17， and GP73 （P<0.01）. downregulated protein levels of GP73， p-PERK， ATF4， GRP78， CHOP， Caspase-12， and Bax in the gastric tissue， and upregulated protein level of Bcl-2 （P<0.01）. Compared with the model group， the Morodan group and each Xianglian Huazhuo prescription group exhibited red gastric mucosa with increased folds， alleviated pathological damage， swelling endoplasmic reticulum， elevated serum levels of PGI， G-17， and GP73 （P<0.05， P<0.01）， and upregulated protein levels of Caspase-12 and Bax and downregulated protein level of Bcl-2 in the gastric tissue （P<0.05， P<0.01）. The Morodan group and the high-dose and medium-dose Xianglian Huazhuo prescription groups exhibited increased serum level of PGR （P<0.05， P<0.01） and upregulated protein levels of GP73， p-PERK， ATF4， GRP78， and CHOP in the gastric tissue （P<0.05， P<0.01）. ConclusionXianglian Huazhuo prescription can activate the GP73/PERK/ATF4 signaling pathway and induce ERS-mediated apoptosis to alleviate the pathological damage of the gastric mucosa， thereby demonstrating a protective effect against CAG in mice.

Work serves as a critical means of obtaining resources, facilitating personal growth, realizing self-worth, and engaging in social interactions. However, work-related diseases pose significant threats to workers’ health and productivity, and impose considerable economic burdens. This article categorized work-related diseases into six major types, including musculoskeletal disorders, mental and behavioral disorders, cardiovascular and metabolic diseases, digestive system diseases, reproductive system diseases, and non-specific respiratory diseases, and summarized their risk factors, assessment methods, policy regulation, and prevention and control measures. Current research in this field predominantly relies on cross-sectional studies, which present limitations in causal inference and potential risks of bias. Future studies should expand sample sizes, optimize research designs, and establish multidimensional evaluation systems to comprehensively assess the health and economic impacts of work-related diseases. It is recommended to enhance the translation of research findings into practice, thereby providing a scientific basis for the occupational health protection system and promoting the well-being and sustainable development of the working population.