Objective: To investigate the current knowledge status of transfusion medicine among pediatricians/postgraduates and the reliability of large language models (LLMs) for assisted learning, and to assess changes in pediatricians' transfusion medicine knowledge before and after the implementation of the "Pediatric Transfusion Guideline" (hereafter referred to as the "Guideline"). Methods: In January 2022 (prior to the implementation of the "Guideline"), a questionnaire was developed based on the "Guideline" content and distributed to pediatricians. Subsequently, in July 2025 (after the implementation of the "Guideline"), the "Pediatric Transfusion Medicine Knowledge Questionnaire" was designed based on the content of the January 2022 questionnaire. This questionnaire survey was conducted on pediatricians/postgraduates and LLMs. We analyzed the level of transfusion medicine knowledge among pediatricians/postgraduates and the reliability of LLMs for assisted learning, and compared the accuracy of pediatricians' responses before and after "Guideline" implementation. Results: The survey results after the implementation of the "Guidelines" revealed that pediatricians/postgraduates achieved response accuracy rates exceeding 80% on the topic of "Patient Blood Management". However, response accuracy rates were below 30% for topics including "Types and Indications of Blood Components/Products" and "E-valuation of Transfusion Efficacy". The pediatricians' accuracy rates for related questions before and after the implementation of the "Guidelines" were 14.7%-68.9% and 3%-38%, respectively, and the comparison of accuracy rates for each question showed significant differences (P<0.001). The accuracy rates of the LLMs on the questionnaire were all below 90%. Among them, Doubao (81.1%) and Kimi (86.4%) achieved relatively higher accuracy rates, while Tencent Yuanbao (Hunyuan) had the lowest accuracy rate at only 59.5%. Conclusion: The implementation of the "Guideline" may have improved pediatricians' knowledge level of pediatric transfusion medicine. However, their knowledge level of pediatric transfusion remains low, and LLMs cannot yet provide absolutely reliable guidance. Systematic training in pediatric transfusion medicine is urgently needed.

[摘 要] 目的：构建负载STING激动剂DMXAA的锰卟啉金属有机框架纳米颗粒（DPM），探讨其对三阴性乳腺癌（TNBC）细胞4T1及其小鼠移植瘤的治疗效果。方法：通过物理吸附法制备 DPM 纳米颗粒，利用透射电镜、扫描电镜及纳米粒度电位仪表征其形貌与理化性质。常规培养4T1细胞，细胞实验分为对照组、超声辐照组（US组）、DPM治疗组（DPM组）和DPM治疗联合超声辐照组（DPM + US组），用CCK-8法检测细胞活性，免疫荧光法检测高迁移率族蛋白B1（HMGB1）和钙网蛋白（CRT）的表达，WB法检测STING通路相关蛋白的表达。构建4T1细胞移植瘤小鼠模型，分为四组，处理同细胞实验，测量肿瘤体积，免疫荧光法检测移植瘤组织中Ki-67、HMGB1、CRT和缺氧诱导因子-1ɑ（HIF-1ɑ）蛋白的表达，TUNEL法检测细胞凋亡，流式细胞术检测免疫细胞活化情况，对主要器官进行H-E染色，以评估纳米材料的体内安全性。结果：DPM呈梭形，平均粒径（268 ± 3.302）nm，电位（33.1 ± 0.87）mV。细胞实验中，DPM联合超声辐照可明显抑制4T1细胞的增殖（P < 0.001），提高4T1细胞中ROS水平（P < 0.001），诱导4T1细胞CRT表达上调（P < 0.001），HMGB1从细胞核中移至细胞质，激活STING信号通路[p-STING、p-TBK1、p-IRF3蛋白表达均显著增加（均P < 0.001）]。体内实验中，DPM联合超声辐照可显著抑制4T1细胞移植瘤生长（P < 0.001）并促进免疫细胞表型转化（P < 0.001），抑制移植瘤组织中Ki-67、HIF-1α蛋白表达（均P < 0.01），谷胱甘肽（GSH）产生（P < 0.01），促进CRT、HMGB1蛋白表达、ROS产生（P < 0.001），对主要器官结构无明显影响。结论： DPM联合超声辐照可通过激活STING通路显著抑制4T1细胞及其移植瘤的生长，诱导抗肿瘤免疫应答，且对主要器官无明显毒性。

Transfusion and Anemia Expertise Initiative-Control/Avoidance of Bleeding developed a strategy for platelet and plasma infusion management in critically ill children based on systematic reviews and consensus meetings of international multidisciplinary experts. One good practice statement and six expert consensus statements were proposed for plasma and platelet transfusions in critically ill children following severe trauma, traumatic brain injury, and/or intracranial hemorrhage. This article introduces the specific methods and basis for the formation of recommendations in this part of the guide.

ObjectiveTo develop a machine learning (ML)-based prediction model for neurological rehabilitation outcomes of stroke patients. MethodsA total of 420 stroke patients admitted to the Fuzhou First People's Hospital from October, 2022 to October, 2024 were enrolled as the training set. According to the modified Rankin Scale (mRS) scores three months after discharge, the patients were divided into prognosis group (n = 289) and poor prognosis group (n = 131). An additional 180 stroke patients hospitalized in the same hospital from November, 2024 to April, 2025 were selected as the validation set. Univariate analysis, least absolute shrinkage and selection operator regression, and multivariate logistic regression were performed to identify independent influencing factors for the prognosis of neurological function recovery. Using the screened independent influencing factors as feature variables, six ML models were established, including logistic regression, linear discriminant analysis, naive Bayes, support vector machine, random forest and extreme gradient boosting (XGBoost). The area under the receiver operating characteristic curve (AUC), confusion matrix indicators (accuracy, precision, recall and F1-score), calibration curve and decision curve analysis were adopted to evaluate the predictive efficacy, calibration degree and clinical net benefit of each model, with external validation conducted in the validation set. The SHapley Additive exPlanations framework was used to interpret the optimal model, and bar charts were applied to visualize the feature importance of the best model. ResultsAge, National Institutes of Health Stroke Scale (NIHSS) score, collateral circulation grading, fasting plasma glucose (FPG), lymphocyte percentage (LYMPH%), and homocysteine (Hcy) were independent risk factors for poor neurological rehabilitation prognosis (P < 0.05). For the XGBoost model, the AUC of the training and validation sets were 0.963 (95%CI 0.947 to 0.979) and 0.825 (95%CI 0.764 to 0.885), respectively, while the accuracy was 88.81% and 77.22%, the precision was 92.86% and 68.42%, the recall was 69.47% and 47.27%, and the F1-score was 79.48% and 55.91%, optimal in both calibration and clinical net benefit. The feature importance ranking for the XGBoost model from high to low was NIHSS score, age, collateral circulation grading, FPG, Hcy and LYMPH%. ConclusionThe interpretable XGBoost ML model exhibits excellent predictive efficacy and favorable clinical applicability in predicting neurological rehabilitation outcomes for stroke patients.

Objective: Through analyzing the current handling capabilities for complex cases in blood transfusion compatibility detection and the application status of artificial intelligence-assisted (AI-assisted) technologies, this study explores the establishment of an effective AI-augmented protocol for managing challenging blood transfusion compatibility detection. Methods: This research systematically analyzes, designs, and explores an AI-augmented operational workflow for resolving challenging blood transfusion compatibility detection cases. Through three representative case studies, we evaluate its effectiveness, accuracy, and efficiency in addressing real-world diagnostic challenges. Results: The AI-augmented operational model demonstrates significant efficacy in resolving complex blood transfusion compatibility challenges, including complex blood typing, antibody specificity identification, challenging cross-matching, and transfusion strategy formulation. Conclusion: AI-augmented technologies demonstrate immense potential in resolving complex blood transfusion compatibility detections. By enabling intelligent, automated, precise, and standardized solutions, they significantly enhance diagnostic accuracy and operational efficiency, which is critical for ensuring transfusion safety and advancing personalized transfusion medicine. This study delineates both the advantages and existing limitations of AI implementation, explores future developmental trajectories, and provides a theoretical framework and practical implementation pathways for deeper integration of AI in transfusion medicine.

Based on systematic review and consensus meetings of international multidisciplinary experts, the Transfusion and Anemia Expert Initiative—Control/Avoidance of Bleeding (TAXI-CAB) project team developed management strategies for platelet and plasma transfusion in critically ill children. This consensus presents five expert consensus statements and two recommendations addressing two key questions: 1) What Laboratory Tests and Physiologic Triggers Should Guide the Decision to Administer a Platelet or Plasma Transfusion in Critically ill Children? 2) What Product Attributes Are Optimal to Guide Specific Product Selection? This consensus provides guidance for decision-making regarding plasma and platelet transfusion in critically ill children in two aspects: relevant laboratory testing indicators and additional special properties of blood components. This article explains the rationale behind the recommendations in this part of the guideline, aiming to emphasize the need for clinicians to develop transfusion strategies based on multidimensional assessment, while calling for enhanced interdisciplinary collaboration and evidence-based research to optimize blood management in critically ill children, reducing the risk of over-transfusion and improving treatment outcomes. Furthermore, there remains an urgent need for further research to explore laboratory indicators associated with bleeding risk to guide transfusion therapy.

Objective:To investigate the expression and clinical significance of long noncoding RNA (lncRNA) AP006284.1 in bladder cancer tissues, and to analyze the regulatory effect and downstream mechanism of AP006284.1 knockdown on the proliferation and migration of bladder cancer cells. Methods:The expression of AP006284.1 in bladder cancer tissues, and the relationship between AP006284.1 expression and tumor stage and disease-free survival of bladder cancer patients were analyzed in the gene expression omnibus (GEO) database. AP006284.1 gene expression in bladder cancer cell lines, including MGH-U3, T24, UMUC-3, J82 and 5637, and bladder epithelial immortalized SV-HUC-1 cell were detected by real-time reverse transcription-PCR (RT-qPCR) assay. J82 cells were divided into the control group and the transfection group, and transfected with control plasmid and AP006284.1 knockdown plasmid, respectively. The effect of AP006284.1 knockdown on the proliferation of J82 cells was detected by RT-qPCR and cell counting kit-8 (CCK-8) assay. The effect of AP006284.1 knockdown on the migration of J82 cells was determined by the scratch healing assay. The target gene of AP006284.1 was predicted by LncRNA2Target and LncRNome databases. The target fragment of wild-type AP006284.1 ( AP006284.1-Wt) or mutant AP006284.1 ( AP006284.1-Mut) was constructed into pGL3 plasmid by dual luciferase gene reporter assay. J82 cells were co-transfected with miR-205-3p or miR-negtive control (miR-NC) to validate the targeting relationship between AP006284.1 and miR-205-3p. The correlation between miR-205-3p and AP006284.1 expression in bladder cancer tissues was further analyzed by the GEO database. The effect of AP006284.1 knockdown on the expression of miR-205-3p gene in J82 cells was detected by RT-qPCR assay. The effect of AP006284.1 knockdown on the expression of phosphorylated Ras protein (p-Ras), phosphorylated Raf protein (p-Raf), phosphorylated mitogen-activated protein kinase kinase (p-MEK), and phosphorylated extracellular signal-regulated kinase (p-ERK) of the ERK pathway was detected by Western blotting in J82 cells. Results:GEO database analysis showed that the relative expression of AP006284.1 in bladder cancer tissues ( n=304) was significantly higher than that in normal tissues ( n=28, P<0.01). The relative expression of AP006284.1 was positively correlated with the tumor stage of the bladder cancer patients ( P<0.01). Compared with bladder cancer patients with low expression of AP006284.1, patients with high expression had a lower disease-free survival ( P<0.01). Compared with the SV-HUC-1 cell (1.02±0.34), the expression level of AP006284.1 gene was upregulated in MGH-U3 cell (5.77±0.37), T24 cell (3.02±0.40), UMUC-3 cell (3.62±0.59), J82 cell (7.19±0.24) and 5637 cell (5.59±0.30) (all P<0.01). The expression level of the AP006284.1 gene was the highest in J82 cells, therefore, the J82 cells were selected for the study. The expression level of AP006284.1 gene in the control group (7.20±0.26) was 6.92 times higher than that in the transfection group (1.04±0.28, t=16.16, P<0.01). Compared with the control group (0.74±0.11, 1.35±0.09, 1.63±0.14, 1.74±0.11), the absorbance ( A) values of J82 cells in the transfection group (0.49±0.06, 0.95±0.14, 1.09±0.08, 1.13±0.11) were reduced than those in the control group at the 24, 36, 48 and 60 h after AP006284.1 knockdown (all P<0.05). The migration distance of J82 cells in the control group was significantly longer than that in the transfection group. The migration rate of the control group [(65.03±6.20)%], which was 2.58 times higher than that of the transfection group [(25.22±3.45)%, t=5.61, P<0.01]. The target site of miR-205-3p containing AP006284.1 was predicted by LncRNA2Target and LncRNome databases. Compared with miR-NC group (1.00±0.11), the relative activity of dual luciferase of AP006284.1-Wt gene was significantly downregulated in the miR-205-3p group (0.31±0.07, t=5.47, P<0.01). Compared with the miR-NC group (0.97±0.14), the relative activity of dual luciferase of AP006284.1-Mut vector (0.98±0.07) was not significantly change ( t=0.09, P>0.05). The GEO database analysis showed that the expression of AP006284.1 in bladder cancer tissues was negatively correlated with the expression of miR-205-3p ( P<0.01). The expression level of miR-205-3p gene in the transfection group (5.42±0.24) was 5.21 times higher than that in the control group (1.04±0.40, t=9.40, P<0.01). Compared with the control group (3.22±0.17, 5.56±0.19, 4.38±0.17, 5.74±0.36), the expressions of p-Ras (2.33±0.12), p-Raf (1.61±0.20), p-MEK (1.57±0.25), and p-ERK (2.40±0.28) of the ERK pathway were decreased in the transfected J82 cells (all P<0.01). Conclusions:AP006284.1 is highly expressed in bladder cancer tissues. Knockdown of AP006284.1 can inhibit the proliferation and migration of bladder cancer cells by regulating the miR-205-3p and ERK pathway proteins.

BACKGROUND: It remains unclear whether sleep duration and physical activity (PA) trajectories in middle-aged and older adults are associated with different risks of cardiovascular diseases (CVDs). This study aimed to explore the trajectories of total sleep duration and PA among middle-aged and older Chinese adults and their impact on CVD risk. METHODS: This study was based on the China Health and Retirement Longitudinal Study. 12009 adults aged 45 years and older from five waves were included. CVD events were measured by self-reports of heart disease and stroke. We first used group-based trajectory modeling to identify total sleep duration and PA trajectories from 2011 to 2020, and then employed logistic regression models to analyze their risk for CVD. RESULTS: We identified three sleep duration and PA trajectories. The risk of heart disease increased by 33% (OR = 1.31, 95% CI: 1.12-1.53) for the short sleep duration trajectory (vs. moderate sleep duration trajectory), by 40% (OR = 1.40, 95% CI: 1.06-1.84) for the high decreasing PA trajectory, and by 20% (OR = 1.20, 95% CI: 1.01-1.42) for the low stable PA trajectory (vs. high stable PA trajectory), respectively. Similar results for stroke and CVD as the outcomes were also observed, but the higher risk of stroke in the high decreasing PA trajectory group was not statistically significant. The joint effects of sleep and PA showed lower risks of heart disease and stroke in trajectories with moderate or long sleep duration and high stable PA compared with short sleep duration and a low stable PA trajectory. CONCLUSIONS Short total sleep duration, high decreasing PA, and low stable PA trajectories could increase the risk of CVDs among middle-aged and older adults. Long-term moderate to long total sleep durations and high stable PA trajectories might be optimal for preventing CVDs.

Gut microbial communities are likely remodeled in tandem with accumulated physiological decline during aging, yet there is limited understanding of gut microbiome variation in advanced age. Here, we performed a metagenomics-based enterotype analysis in a geographically homogeneous cohort of 367 enrolled Chinese individuals between the ages of 60 and 94 years, with the goal of characterizing the gut microbiome of elderly individuals and identifying factors linked to enterotype variations. In addition to two adult-like enterotypes dominated by Bacteroides (ET-Bacteroides) and Prevotella (ET-Prevotella), we identified a novel enterotype dominated by Escherichia (ET-Escherichia), whose prevalence increased in advanced age. Our data demonstrated that age explained more of the variance in the gut microbiome than previously identified factors such as type 2 diabetes mellitus (T2DM) or diet. We characterized the distinct taxonomic and functional profiles of ET-Escherichia, and found the strongest cohesion and highest robustness of the microbial co-occurrence network in this enterotype, as well as the lowest species diversity. In addition, we carried out a series of correlation analyses and co-abundance network analyses, which showed that several factors were likely linked to the overabundance of Escherichia members, including advanced age, vegetable intake, and fruit intake. Overall, our data revealed an enterotype variation characterized by Escherichia enrichment in the elderly population. Considering the different age distribution of each enterotype, these findings provide new insights into the changes that occur in the gut microbiome with age and highlight the importance of microbiome-based stratification of elderly individuals.
Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Bacteroides ; China ; Diabetes Mellitus, Type 2/microbiology* ; Escherichia coli/classification* ; Gastrointestinal Microbiome/genetics* ; Metagenomics ; East Asian People

Growth arrest DNA damage-inducible protein 45 β (GADD45B) has been reported to be a regulatory factor for active DNA demethylation and is implicated in the modulation of synaptic plasticity and chronic stress-related psychopathological processes. However, its precise role and mechanism of action in stress susceptibility remain elusive. In this study, we found a significant reduction in GADD45B expression specifically in the ventral, but not the dorsal hippocampal CA1 (dCA1) of stress-susceptible mice. Furthermore, we demonstrated that GADD45B negatively regulates susceptibility to social stress and NMDA receptor-dependent long-term potentiation (LTP) in the ventral hippocampal CA1 (vCA1). Importantly, through pharmacological inhibition using the NMDA receptor antagonist MK801, we provided further evidence supporting the hypothesis that GADD45B potentially modulates susceptibility to social stress by influencing NMDA receptor-mediated LTP. Collectively, these results suggested that modulation of NMDA receptor-mediated synaptic plasticity is a pivotal mechanism underlying the regulation of susceptibility to social stress by GADD45B.
Animals ; Receptors, N-Methyl-D-Aspartate/antagonists & inhibitors* ; CA1 Region, Hippocampal/drug effects* ; Male ; Stress, Psychological/physiopathology* ; Mice ; Neuronal Plasticity/drug effects* ; Long-Term Potentiation/drug effects* ; Mice, Inbred C57BL ; Antigens, Differentiation/metabolism* ; Dizocilpine Maleate/pharmacology* ; Excitatory Amino Acid Antagonists/pharmacology* ; GADD45 Proteins