Neonatal diabetes mellitus （NDM） is a rare monogenic disorder primarily caused by insufficient insulin secretion resulting from mutations in the KCNJ11 and ABCC8 genes. Sulfonylureas， represented by glibenclamide， have become the standard therapy for this type of NDM by precisely closing the mutated ATP-sensitive potassium channels in pancreatic β cells， thereby restoring insulin secretion. Clinical studies confirm that sulfonylureas enable over 90% of patients to successfully transition from insulin to oral treatment， achieving long-term stable glycemic control and improving neurological outcomes to a certain extent. In terms of safety， severe hypoglycemia induced by sulfonylureas is relatively rare and gastrointestinal reactions are mild； moreover， sulfonylureas show good long-term tolerability， and have no adverse effects on child growth and development. In the future， by further refining the full-chain management pathway of “rapid genetic diagnosis-early intervention-specialized dosage forms-long-term follow-up”， the clinical application of sulfonylureas is expected to provide NDM patients with an optimized treatment regimen and maximize their health benefits.

Objective: To investigate the relationship between physical development indicators and the onset and progression of myopia among children and adolescents, so as to provide theoretical support for coordinated vision and physical health management. Methods: A prospective cohort study was conducted. In September 2022, 3 102 students from grade one in primary school to grade three in junior high school (five year primary school and four year junior high school) from six schools in Huantai County, Shandong Province, were selected using multistage cluster random sampling method to participate in an epidemiological survey on myopia, with follow up completed in September 2023. Follow up value minus baseline value( d ) was used to assess changes in physical development and vision indicators. Multivariate Logistic regression analysis was used to examine the relationship between physical development indicators and the incidence of myopia. Generalized linear models were established to analyze the relationship between physical development indicators and changes in d spherical equivalent (SE) and d axial length (AL) . Results: Multivariate Logistic regression analysis showed that, after adjusting for factors such as gender, age, and baseline body mass index, the third ( Q 3)and fourth ( Q 4)quartiles of d height showed increased risks of myopia onset within one year compared to the first quartile( Q 1) ( OR =1.85,95% CI =1.18-2.88; OR =1.74,95% CI =1.09-2.78,both P ＜0.05). Results from the generalized linear model indicated that, after adjusting for confounding factors such as gender, age, and baseline SE, d SE was negatively correlated with d height and d weight in children and adolescents ( β =-0.024, 95% CI =-0.031 to -0.018; β =-0.006, 95% CI =-0.011 to -0.001), d AL was positively correlated with d height and d weight in children and adolescents ( β =0.011, 95% CI =0.008-0.013; β =0.005, 95% CI =0.003-0.007) (all P ＜0.05). Conclusions Physical development indicators in children and adolescents were associated with the onset and progression of myopia. Dynamic monitoring and early intervention of myopia should be strengthened for children and adolescents with rapid height and weight gain to achieve coordinated management of myopia and physical development.

Objective: To analyze the characteristics and key risk factors of abnormal blood disposal throughout the 2024-2025 blood collection and supply process based on nationwide multi-site monitoring data, develop a comprehensive prevention and control strategy across the entire chain, reduce preventable blood waste, and ensure clinical blood safety. Methods: According to the Guidelines for Haemovigilance (T/CSBT 001-2026), we extracted 74 cases of abnormal blood disposal events reported by the China Blood Transfusion Association′s Blood Safety Monitoring System from January 1 2024, to December 31 2025, and conducted descriptive statistical analysis on the distribution of events, types of deviations, root causes, and classifications of disposal manifestations. Results: A total of 664 adverse events related to blood collection and supply were reported over two years, with 74 cases involving discarded abnormal blood units, accounting for 11.1% of the total. Among these, blood component preparation (40.5%) and blood collection (37.8%) remained traditional high-risk stages. The proportion of blood waste occurring during storage, distribution, and transportation increased from 7.7% in 2024 to 34.3% in 2025. Deviations from standard operating procedures (SOP) by personnel were the primary cause, accounting for 74.3% of cases. Discarded blood units were categorized into four types: compromised closed blood bag systems (40 cases), mainly due to inadequate heat sealing, physical damage, or dropped bags; blood out of the cold chain (12 cases), primarily resulting from blood being left at work sites; imbalanced proportion of preservation solution (10 cases), mostly caused by blood collection volumes exceeding the standard capacity of blood bags; and other causes (12 cases). Conclusion: Human operational errors are the core cause of abnormal blood waste. The collection and preparation stages have long been at high-risk, and the risks in the storage and transportation stages have been increasing year by year. We should focus on standardizing personnel management, improving specialized operation norms such as heat sealing, transportation, and storage, establishing a full-process intelligent cold chain monitoring and multi-node visual verification mechanism, and systematically reducing the occurrence rate of abnormal blood waste through a closed-loop quality intervention system, thereby improving the utilization efficiency of voluntary blood donation resources.

Objective:To explore the external treatment methods of hemorrhoids based on ancient books and documents; To guide clinical medication.Methods:The relevant articles on external treatment of hemorrhoids using Chinese materia medica included in Zhong Hua Yi Dian (5th edition) were retrieved. Excel 2021 was used to analyze the properties, tastes, meridian tropism, external treatment methods and drug efficacy of Chinese materia medica included in the prescriptions, and the relevant discussion contents were sorted out according to the classification of external treatment methods of hemorrhoids. Results:A total of 255 articles in ancient books were included, involving 165 prescriptions. 146 kinds of Chinese materia medica for external treatment of hemorrhoids were selected. The medicinal properties were mainly cold and warm, the main tastes were pungent, bitter and sweet, and the meridian tropism mainly involved the liver, spleen, stomach, heart, lung and large intestine meridians. Fumigation, application and application are the most widely used external treatment methods. Chinese materia medica efficacy mainly includes heat clearing drugs, surface relieving drugs, resuscitation drugs, astringent drugs, anti venom, anti insect and anti itching drugs, and tonic drugs.Conclusions:Ancient physicians treated hemorrhoids with both cold and heat, and paid equal attention to clearing heat and reducing fire, warming and activating blood circulation. They paid attention to the combination of local medication of lesions and the overall treatment of multiple meridians and multiple viscera, so as to achieve the simultaneous treatment of specimens. The treatment methods were rich, including fumigation and washing method to improve local microcirculation, application method using natural adhesive, coating method focusing on precise administration and ligation method of minimally invasive, forming a unique external treatment system, which can be used for modern clinical reference.

Esophagectomy is an effective treatment for esophageal cancer,and there has been growing attention on the importance of postoperative pain management in patients undergoing the surgery.Epidural analgesia is the preferred analgesic approach for open esophagectomy.With the development of surgical technology,minimally invasive esophagectomy(MIE)has become the mainstream surgical approach.However,no conclusion has been reached concerning whether epidural analgesia is still the preferred analgesic approach for MIE.Herein,we analyzed the relevant literature published in recent years and found that epidural analgesia continued to be an important analgesic approach for MIE,offering the best analgesic effect.Epidural analgesia can reduce postoperative pulmonary complications,improve the quality of life,and reduce the stress response.Adverse effects can be minimized through accurate selection of epidural puncture segments,individualized medication,and multimodal analgesia strategies.In the future,precision-based multimodal analgesia can be achieved using emerging technologies such as big data analytics and artificial intelligence.

Objective To explore the mediating effect of hope between self-perceived burden and quality of life in patients with recurrent malignant tumors.Methods A cross-sectional survey was conducted using convenience sampling,selecting 204 patients with recurrent malignant tumors from the Oncology Department of Xiangyang Central Hospital in Hubei Province from September to December 2023.A general information questionnaire,Self-Perceived Burden Scale(SPBS),hope level(HHI),and EORTC QLQ-C30 quality of life questionnaire were utilized for the investigation.Results The SPBS score for patients with recurrent malignant tumors was(28.28±8.92),the HHI score was(35.83±4.30)and the quality of life score was(59.68±23.96).Self-perceived burden was negatively correlated with hope and quality of life(P<0.05;P<0.01),while hope was positively correlated with quality of life(P<0.01).The mediating effect of hope between the burden of self-perception and quality of life is reflected,with the indirect effect accounting for 21.18%of the total effect.Conclusion Patients with recurrent malignant tumors generally have a low quality of life and moderate levels of hope,both of which require improvement.The self-perceived burden of patients is at a mild to moderate level.Healthcare professionals should take effective measures to enhance patients'levels of hope and reduce their self-perceived burden,thereby improving the quality of life for patients with recurrent malignant tumors.

Drug development encompasses multiple processes,wherein protein subcellular localization is essential.It promotes target identification,treatment development,and the design of drug delivery systems.In this research,a deep learning framework called LocPro is presented for predicting protein subcellular localization.Specifically,LocPro is unique in(a)combining protein representations from the pre-trained large language model(LLM)ESM2 and the expert-driven tool PROFEAT,(b)implementing a hybrid deep neural network architecture that integrates convolutional neural network(CNN),fully connected(FC)layer,and bidirectional long short-term memory(BiLSTM)blocks,and(c)developing a multi-label framework for predicting protein subcellular localization at multiple granularity levels.Additionally,a dataset was curated and divided using a homology-based strategy for training and validation.Compar-ative analyses show that LocPro outperforms existing methods in sequence-based multi-label protein subcellular localization prediction.The practical utility of this framework is further demonstrated through case studies on drug target subcellular localization.All in all,LocPro serves as a valuable complement to existing protein localization prediction tools.The web server is freely accessible at https://idrblab.org/LocPro/.

This research investigates the regulatory role of the transcription factor PU.1 in type 1 conventional dendritic cells(cDC1)and its therapeutic potential of modulating the nuclear factor kappaB(NF-κB)cells signaling pathway in non-small cell lung cancer(NSCLC).Utilizing single-cell transcriptome sequencing and comprehensive bioinformatics tools,including the CIBERSORT algorithm,we analyzed the immune cell landscape within NSCLC tissues.Our analysis revealed distinct NSCLC subtypes and delineated the developmental trajectories and functional distinctions of cDC1 cells.Key differentially expressed genes(DEGs)and pivotal functional modules within these cells were identified,highlighting PU.1 as a critical mediator underexpressed in NSCLC samples.Functionally,PU.1 demonstrated the induction of the NF-κB pathway,which led to inhibited tumor proliferation and enhanced activation of cDC1,thereby suggesting its role in tumor immune surveillance.In vivo models confirmed the suppressive effect of PU.1 on NSCLC progression,mediated through its influence on cDC1 functionality via the NF-κB pathway.These findings propose PU.1 as a promising target for NSCLC therapeutic strategies,emphasizing the importance of transcriptional regulators in the tumor microenvironment.

Background::B-cell maturation antigen (BCMA)-directed chimeric antigen receptor T (CAR-T) therapy yield remarkable responses in patients with relapsed/refractory multiple myeloma (R/RMM). Circulating tumor DNA (ctDNA) reportedly exhibits distinct advantages in addressing the challenges posed by tumor heterogeneity in the distribution and genetic variations in R/RMM.Methods::Herein, the ctDNA of 108 peripheral blood plasma samples from patients with R/RMM at the First Affiliated Hospital, School of Medicine, Zhejiang University was thoroughly investigated before administration of anti-BCMA CAR-T therapy to establish its predictive potential. Flow cytometry is used primarily to detect subgroups of T cells or CAR-T cells.Results::In this study, several tumor and T cell effector-mediated factors were considered to be related to treatment failure by an integrat analysis, including higher percentages of multiple myeloma (MM) cells in the bone marrow ( P = 0.0125), lower percentages of CAR-T cells in the peripheral blood at peak ( P = 0.0375), and higher percentages of CD8 + T cells ( P = 0.0340). Furthermore, there is a substantial correlation between high ctDNA level (>143 ng/mL) and shorter progression-free survival (PFS) ( P = 0.007). Multivariate Cox regression analysis showed that high levels of ctDNA (>143 ng/mL), MM-driven high-risk mutations (including IGLL5 [ P = 0.004], IRF4 [ P = 0.024], and CREBBP [ P = 0.041]), number of multisite mutations, and resistance-related mutation ( ERBB4, P = 0.040) were independent risk factors for PFS. Conclusion::Finally, a ctDNA-based risk model was built based on the above independent risk factors, which serves as an adjunct non-invasive measure of substantial tumor burden and a prognostic genetic feature that can assist in predicting the response to anti-BCMA CAR-T therapy.

Advancements in artificial intelligence(AI)and emerging technologies are rapidly expanding the exploration of chemical space,facilitating innovative drug discovery.However,the transformation of novel compounds into safe and effective drugs remains a lengthy,high-risk,and costly process.Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development.Despite this need,no comprehensive tool currently supports systematic evaluation and efficient screening.Here,we present druglikeFilter,a deep learning-based framework designed to assess drug-likeness across four critical dimensions:1)physicochemical rule evaluated by systematic determination,2)toxicity alert investigated from multiple perspectives,3)binding affinity measured by dual-path analysis,and 4)compound synthesizability assessed by retro-route prediction.By enabling automated,multidimensional filtering of compound libraries,druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates,which can be freely accessed at https://idrblab.org/drugfilter/.