Traditional treatment for type 1 diabetes mellitus （T1DM） primarily involves insulin replacement， yet some patients encounter issues such as significant blood glucose fluctuations， high risk of hypoglycemia， and weight gain. In recent years， the adjuvant therapeutic role of non-insulin hypoglycemic drugs in T1DM has gradually gained attention. This article reviews the mechanisms of action and clinical research progress of five types of non-insulin hypoglycemic drugs in the treatment of T1DM： amylin analogues （pramlintide）， biguanides （metformin）， sodium-glucose co-transporter 2 inhibitor， dipeptidyl peptidase-4 inhibitor， and glucagon-like peptide-1 receptor agonist. It is found that these drugs can enhance clinical benefits for T1DM patients by improving insulin sensitivity， delaying gastric emptying， promoting urinary glucose excretion， and regulating incretin levels， thereby reducing glycated hemoglobin levels， decreasing insulin dosage， and managing body weight. Simultaneously， these drugs also present limitations such as low patient compliance due to complex dosing regimens， increased risk of diabetic ketoacidosis， and heterogeneity in glycemic control. Future research could focus on developing individualized treatment strategies， combining pharmacogenomics with novel biomarkers to precisely identify subpopulations of patients who may benefit， and delving into the potential value of these drugs in delaying diabetic vascular complications and improving patients’ quality of life.

Objective: To develop a smart blood donation service assistant for popularizing donation-related knowledge to blood donors via intelligent Q&A support, thereby enabling precise service delivery. Methods: Based on the operational scenarios of the Zhejiang Provincial Blood Center, the system utilized the open-source Dify platform for agent orchestration, and integrated with the DeepSeek model as the language processing engine to support online real-time interaction. External tools, including the Amap API and MySQL database queries, were encapsulated via the Model Context Protocol (MCP). A professional blood knowledge base for Retrieval-Augmented Generation (RAG) was constructed using the BGE-M3 embedding model. An innovative dual-large language model collaborative verification mechanism was introduced to design the overall framework. The system was deployed privately using Docker containerization, and offline closed-loop optimization was achieved through customized Python scripts. Results: An interactive interface for blood donors was developed by integrating the chatflow Web component from Dify. The intelligent assistant Agent can recommend optimal blood donation sites and navigation routes by invoking the Amap API based on the donor's location. The Blood Donation Knowledge Agent enables timely responses to inquiries, along with reasonable suggestions and reminders. This agent specializes in the field of voluntary blood donation, empowering the assistant to answer doubts and questions for blood donors in the form of intelligent question-and-answer interaction. It also guides users through preliminary self-assessments, helping potential donors identify eligibility issues beforehand, thereby effectively increasing the on-site success rate of blood donation and reducing resource waste. Conclusion: The smart blood donation assistant validates the feasibility of the "Dify+MCP+RAG" technical architecture within the blood transfusion informatization field. The assistant not only improves the service experience for blood donors, but also, ensures the sustainable evolution of the system through its modular design and closed-loop optimization mechanism, thus providing valuable insights for the intelligent transformation of traditional blood donation service systems.

Objective: To evaluate the classroom environmental management and CO 2 volume concentration in primary and secondary schools from Liaoning, Tianjin, and Shanghai, thereby providing a scientific basis for developing targeted strategies to improve classroom air quality. Methods: From December 16 to 26, 2024, by using stratified random cluster sampling method, the questionnaire survey was conducted in 72 primary and secondary schools (24 each of primary, junior high, and regular high schools) across Liaoning, Tianjin and Shanghai. Information on heating, ventilation and other classroom environmental management was collected. Additionally, 108 classrooms were selected for on site microclimate measurements, including temperature, humidity, wind speed and CO 2 volume concentration. Univariate analysis and multiple linear regression models were employed to explore related factors of classroom CO 2 volume concentration. Results: Among the three provinces/municipalities, 20.8% of schools regularly monitored the microclimate. The overall compliance rate for classroom CO 2 volume concentration was 17.6%. Multiple linear regression analysis showed that CO 2 volume concentration in regular and junior high school classrooms were higher than in primary school classrooms ( β=0.067, 0.046, 95%CI =0.036-0.099, 0.013-0.080); classrooms ventilated regularly in the morning and afternoon had higher CO 2 volume concentration than those ventilated during every break between classes ( β=0.043, 95%CI = 0.007- 0.080); both temperature ( β=0.010, 95%CI =0.004-0.016) and humidity ( β=0.003, 95%CI =0.002-0.004) were positively correlated with CO 2 volume concentration (all P <0.05). Conclusions Excessive CO 2 volume concentration in primary and secondary school classrooms is a prominent issue, and ventilation frequency is a key intervenable factor for controlling CO 2 levels. It is recommended to promote ventilation during every break between classes as a core management measure and to emphasize air quality supervision in regular high school classrooms.

Objective To investigate the association between physical activity levels and blood lipids among college freshmen, and to provide scientific evidence for the health management of college freshmen. Methods An electronic questionnaire survey on physical activity was conducted on freshmen of a university, and fasting blood biochemical indicators were detected. The International Physical Activity Questionnaire (IPAQ) short form was used to evaluate the physical activity levels of the participants. Dyslipidemia was defined as an abnormality in any one of the following serum lipid parameters: total cholesterol, triglycerides, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), or non-high-density lipoprotein cholesterol. Binary logistic regression and stratified analyses were employed to explore the relationship between physical activity and blood lipids. Results A total of 3 401 participants were included, with an average age of 18.45 ± 0.92 years, and 60.5% were female. The prevalence of dyslipidemia was 17.7%, with a higher rate among males (22.1%) than females (14.8%). After adjusting for confounding factors related to blood lipids, high-intensity physical activity was negatively associated with the risk of elevated LDL-C among males (OR = 0.36, 95% CI: 0.13–0.99, P = 0.049). Conclusion Among freshmen at a medical college in Hubei Province, high-intensity physical activity is negatively associated with the risk of elevated LDL-C in males, but this association needs to be further confirmed by larger prospective cohort studies.

Purpose: This study aimed to evaluate the impact of postoperative adjuvant chemotherapy (AC) on survival outcomes in breast cancer (BC) patients who have already undergone neoadjuvant chemotherapy (NAC) followed by surgery. Materials and Methods: Data from a population-based cohort (2010-2020) were analyzed for BC patients treated with NAC and surgery. Univariate and multivariate Cox regression identified prognostic factors for overall survival (OS), and a nomogram was developed and validated. Personalized scores from the nomogram were used for risk stratification to assess the effect of postoperative AC. Results: A total of 15,921 BC patients were analyzed, with 11,144 in the training cohort and 4,777 in the validation cohort. The key prognostic indicators for OS included age, race, marital status, histological grade, BC subtype, T category, N category, type of surgery, and response to NAC (all p < 0.05). The nomogram effectively predicted individualized OS rates and stratified patients into various risk categories. Postoperative AC was found to significantly enhance OS in the high-risk subgroup (p=0.011 in the training cohort, p=0.012 in the overall population). However, for the low-risk subgroup, there was no significant survival benefit from postoperative AC (p=0.130 for the training cohort, p=0.588 for the overall population), suggesting that some patients might safely forgo unnecessary postoperative AC. Conclusion This study efficiently differentiates between varying levels of risk, enabling clinicians to identify patients unlikely to benefit from postoperative AC and thus reduce the likelihood of overtreatment.

ObjectiveToll-like receptor 4 （TLR4）， a receptor for pathogen-associated molecular patterns of innate immunity， is associated with neurodegenerative diseases. Interleukin （IL）-6， IL-1β， and tumor necrosis factor-α （TNF-α） as common pro-inflammatory cytokines and high-sensitivity C-reactive protein （hs-CRP） are related to inflammatory responses. This study evaluated the clinical efficacy and possible mechanisms of therapeutic effects of Fengyintang on early and mid-stage PD with excessive heat generating wind by observing the effects of Fengyintang on the serum levels of TLR4， IL-6， IL-1β， TNF-α， and hs-CRP in the patients with PD. MethodsSixty-eight PD patients who met the inclusion criteria were randomly assigned into the control group and the observation group （n=34）. Both groups were treated with anti-PD Western medicine and the observation group was additionally treated with Fengyintang. Both groups were treated for 8 weeks. Before and after 8 weeks of treatment， the patients in the two groups were measured for their TCM symptom scores， International Movement Disorder Society Unified Parkinson's Disease Rating Scale （MDS-UPDRS） score， Parkinson's Disease Non-Motor Symptom Scale （NMSS） score， Patient Assessment of Constipation Symptom （PAC-SYM） score， Pittsburgh Sleep Quality Index （PSQI）， Hamilton Anxiety Scale （HAMA） score， Hamilton Depression Scale （HAMD） score， and changes in serum TLR4， IL-6， IL-1β， TNF-α， and hs-CRP levels. ResultsOne case in the control group was removed due to loss of visit， and a total of 67 PD patients （33 in the control group and 34 in the observation group） who met the criteria were included for analysis. After treatment， patients in the observation group showed decreases in scores of TCM symptoms， MDS-UPDRS， NMSS， PAC-SYM， PSQI， HAMA， and HAMD （P<0.05， P<0.01）. Moreover， the observation group had lower scores of TCM symptoms， MDS-UPDRS， NMSS， PAC-SYM， PSQI， HAMA， and HAMD than the control group （P<0.05， P<0.01）. The observation group showed higher efficacy in terms of TCM symptoms and MDS-UPDRS score than the control group （Z=-0.57， P<0.05）. The overall response rate was higher in the observation group than in the control group （Z=-0.62， P<0.05， P<0.01）. The serum TLR4， TNF-α， IL-1β， IL-6， and hs-CRP levels of the observation group were lower than those of the control group （P<0.05， P<0.01）. ConclusionFengyintang combined with Western medicine can safely and effectively alleviate the clinical symptoms， reduce the levels of inflammatory factors， improve the quality of life， and delay the disease progression of PD patients by inhibiting peripheral TLR4 expression and thus suppressing the downstream inflammatory response.

Objective: To identify the latent classes of acceptance and striving and their associated factors among nursing students, and to examine the mediating role of positive acceptance and striving in the association between self transcendence and subjective well being, so as to provide evidence for targeted interventions to improve subjective well being among nursing students. Methods: From July to October 2025, a convenience sample of 861 nursing students was recruited from five schools in Sichuan and Chongqing, China. Participants were surveyed using the Self transcendence Scale, the Positive Acceptance and Striving Scale, and the General Well being Scale. Latent profile analysis was conducted to identify profiles of positive acceptance and striving. Logistic regression analysis was used to examine associated factors, and relative mediation analysis was performed to assess differences in the mediating effect across latent profiles. Results: Three latent classes of acceptance and striving were identified: the low acceptance-low striving profile (46.34%, n =399), the moderate acceptance-moderate striving profile (40.88%, n =352), and the high acceptance-high striving profile (12.78%, n =110). Multivariable Logistic regression analysis showed that, with the low acceptance-low striving profile as the reference, nursing students with higher self transcendence scores ( OR =151.85) and those who studied nursing because of personal preference ( OR =14.72) or parental expectations ( OR =11.16) were more likely to be classified into the high acceptance-high striving profile (all P <0.05). Male students ( OR =0.19), those perceiving nurses social status as average ( OR =0.35), and those receiving moderate teacher support ( OR =0.23) were less likely to be classified into the high acceptance-high striving profile (all P <0.05). Positive acceptance and striving partially mediated the association between self transcendence and subjective well being, with a total effect of β =0.97 and a mediating effect of β =0.48; the mediating effect accounted for 49.34% of the total effect. Relative mediation analysis showed that the mediating effect was statistically significant only in the low acceptance-low striving profile ( β =0.21), whereas the direct effects were stronger in the moderate acceptance-moderate striving and high acceptance-high striving profiles ( β =0.39, 1.06)(all P <0.05). Conclusions Positive acceptance and striving among nursing students exhibit substantial heterogeneity. Its predictive effect on subjective well being and the underlying mediating mechanism vary across latent profiles. Profile specific interventions should therefore be implemented to improve subjective well being among nursing students.

Metabolic dysfunction-associated fatty liver disease （MAFLD） progresses to metabolic dysfunction-associated steatohepatitis （MASH） due to mitochondrial homeostasis imbalance and dysfunction in hepatocytes caused by various factors such as lipotoxicity and inflammatory infiltration. Recent studies have confirmed that mitochondrial injury is closely associated with chronic inflammation， with extracellular vesicle （EV） acting as a key mediator linking the two processes. This article systematically reviews the molecular mechanisms of hepatocyte mitochondrial dysfunction in MAFLD/MASH， highlights the regulatory role of hepatocyte-derived EV in intrahepatic inflammation， and discusses the potential application prospects of mitochondria-targeted therapies and intercellular communication interventions in MAFLD/MASH， in order to provide a theoretical basis for developing novel therapeutic strategies for these diseases.

ObjectiveTo screen and identify the key proteins of Monkeypox Virus （MPXV） that regulate the NOD-like receptor family pyrin domain containing 3 （NLRP3） inflammasome. MethodsUsing the genomic sequence of the domestic epidemic strain of MPXV as a template to construct an expression plasmid library containing 82 viral genes. To screen for viral genes that significantly inhibit the production of interleukin-1β （IL-1β）， the expression plasmids encoding NLRP3， apoptosis-associated speck-like protein containing a CARD （ASC）， cysteine protease-1（Caspase-1）， and pro-IL-1β-Luc reporter gene were co-transfected into HEK293T cells， along with the viral gene plasmids. The signal of the NLRP3 inflammasome was monitored by measuring luciferase activity in the cell supernatant. The inhibition effects were further confirmed by Western Blot （WB）， and the interactions between the viral proteins and the components of the NLRP3 inflammasome were determined by Co-immunoprecipitation （Co-IP）. Additionally， site-directed mutagenesis was performed to identify the specific interaction motifs. ResultsAn NLRP3 inflammasome signal screening system were successfully established and optimized. Screening the MPXV plasmids using this system revealed that B10R most significantly inhibits IL-1β maturation in a dose-dependent manner （P＜0.000 1）. Further characterization demonstrated that B10R interacts directly with pro-IL-1β. Notably， the C-terminal motif mutant of B10R （B10Rmut-C， T96A， Y97A， I98A） lost its ability to interact with pro-IL-1β. ConclusionsThe MPXV B10R protein interacts with pro-IL-1β， thereby inhibiting the IL-1β maturation. The C-terminal motif （T96， Y97， I98） of the B10R protein is crucial for function. This study provides important clues and a foundation for further elucidating the molecular mechanisms by which MPXV regulates the NLRP3 inflammasome.

ObjectiveTo explore the factors influencing home-based rehabilitation exercise and the needs for digital interventions among patients with spinal muscular atrophy (SMA), based on the behavior change wheel (BCW), and to provide evidence for the development of digital home-based rehabilitation interventions. MethodsA two-phase qualitative study was conducted from December, 2024 to March, 2025. Using convenience sampling, 14 participants were recruited, including patients with SMA, primary caregivers, rehabilitation professionals, clinicians, a patient organization representative and a health policy expert. In phase 1, semi-structured individual interviews were conducted with seven participants, including patients, caregivers and a patient organization representative, to identify factors influencing home-based rehabilitation exercise and unmet needs. In phase 2, a focus group involving 12 stakeholders was conducted, including five participants who had participated in phase 1, to explore requirements for the functions, knowledge content and interface design of a digital intervention, five of them had participated in phase 1. Overall, the two phases involved 14 individual participants, accounting for 19 participant-instances. Thematic analysis was performed using both deductive and inductive approaches, guided by the capability-opportunity-motivation-behavior (COM-B) model. ResultsSix themes were identified. phase 1 showed that patients with SMA experienced inadequate continuity of rehabilitation services and limited access to professional rehabilitation resources, with interruptions in institution-based rehabilitation coexisting with declining adherence to home-based exercise. Home-based rehabilitation exercise was jointly influenced by capability-, opportunity- and motivation-related factors, including limited capabilities of patients and caregivers, constraints in time and supportive conditions and insufficient goals, feedback, and incentives. Individualized rehabilitation plans and professional guidance were the major unmet needs. phase 2 showed that the core functions of a digital intervention should include individualized exercise plans, professional guidance and feedback, reminders and incentives, safety monitoring, remote assessment, and privacy and permission management. Core knowledge content should include stratified exercise guidance, caregiving skills, recognition of abnormal conditions, and information on when and how to seek help. The interface should be simple, impose a low user burden and accommodate different types of users. ConclusionHome-based rehabilitation exercise among patients with SMA is jointly influenced by multiple capability-, opportunity- and motivation-related factors. Digital interventions should prioritize individualized rehabilitation plans, professional guidance and sustained behavioral support. These findings may inform the development of a digital home-based rehabilitation intervention prototype for patients with SMA; its feasibility, safety, clinical effectiveness and economic value require further evaluation.