Objective: To systematically evaluate the performance of machine learning (ML) models in predicting non suicidal self injury (NSSI) behavior among adolescents, providing an evidence based foundation for the development of clinically applicable risk assessment tools. Methods: A comprehensive search was conducted in PubMed, Embase, Web of Science, CNKI, and Wanfang databases for relevant studies from their inception to July 21, 2025. The Prediction Model Risk of Bias Assessment Tool (PROBAST) was used to evaluate the methodological quality of the included studies. Stata 18 software was used to calculate the area under the receiver operating characteristic curve (AUC) of the models, and publication bias assessment, sensitivity analysis, and Egger s test were performed. Results: The total of 12 studies (42 prediction models) involving 58 070 adolescents were included. There were 15 machine learning algorithms in total, among which Random Forest, Logistic Regression, XGBoost, and Support Vector Machines were the most frequently utilized. The most common predictors were gender (female), family function, depression, emotion regulation, and age. All 12 included studies exhibited a high risk of bias. The pooled AUC was 0.80 (95% CI =0.78-0.82), although heterogeneity was substantial ( I 2=95.8%, P <0.01). Sensitivity analysis confirmed the robustness of these findings (no overlap in 95% CI ), while Egger s test indicated the presence of publication bias ( P <0.05). Conclusions Machine learning demonstrates potential in the risk prediction of adolescent NSSI, but existing models have a high risk of bias. Future research should focus on improving methodological quality and optimizing model reliability through rigorous external validation.

[摘 要] 目的：探究雌激素受体（ER）阳性乳腺癌患者新辅助内分泌治疗后病理完全缓解（pCR）的疗效影响因素，构建并验证预测模型。方法：回顾性选取2020年1月至2024年1月河北医科大学第四医院收治的715例接受新辅助内分泌治疗及手术治疗的ER阳性乳腺癌患者，根据术后病理结果分为pCR组（72例）和未达pCR组（643例）。按7∶3比例随机分为训练集和测试集，收集患者临床病理资料及实验室指标。通过单因素和多因素Logistic回归分析筛选未达pCR的独立危险因素，并构建预测模型。利用训练集和测试集的受试者工作特征（ROC）曲线、校准曲线及决策曲线分析（DCA）评估模型性能。结果：训练集与测试集患者临床资料比较无显著差异。训练集中，pCR组与未达pCR组在肿瘤增殖标志蛋白Ki-67指数、治疗前血清癌抗原15-3（CA15-3）水平、治疗前雌激素受体1（ESR1）基因突变状态、治疗前miR-1-3p表达水平、治疗前性别决定区Y框蛋白9（SOX9）表达水平、临床分期、淋巴结转移等方面存在差异（P < 0.05）。多因素Logistic回归分析显示，Ki-67指数、治疗前血清CA15-3水平、治疗前ESR1基因突变状态、治疗前miR-1-3p表达水平、临床分期为ER阳性乳腺癌患者新辅助内分泌治疗后未达pCR的独立影响因素（P < 0.05）。基于上述因素构建列线图预测模型，并通过ROC曲线、校准曲线及DCA验证模型具有较好的区分度、预测准确性和临床实用性。结论：基于Ki-67指数、血清CA15-3水平、ESR1基因突变状态等因素构建的列线图预测模型，对ER阳性乳腺癌患者新辅助内分泌治疗后未达到pCR风险具有良好预测效能，可为临床决策提供参考。

Objective To study the mini-character and microscopic features of Plantago asiatica from different populations and summarize the exclusive features to provide a reference for the effective identification of Plantago asiatica. Methods Stereomicroscope and optical microscope were used to identify 30 batches of Plantago asiatica from different populations.The similarities and differences in mini-character and microscopic features of Plantago asiatica among different populations were identified. Results The differences in mini character between the Plantago asiatica from different populations were mainly reflected in whether there was fluff on the surface of leaves, inflorescence peduncles, and persistent sepals, as well as whether the epidermis of fibrous roots was flaky. The differences in microscopic characteristics between the Plantago asiatica from different populations were mainly reflected in the number of non-glandular hairs on the leaf surface, the shape of the petiole endothelial layer cells, and the number of large vascular bundles, and the number of layers of mesophyll palisade tissue cells, etc. Conclusion Plantago asiatica from different populations can be identified through mini-character and microscopic; by comparing the relevant identification features, which can provide a basis for revising and improving the standards of Plantago asiatica.

Objective Magnetoreception, the remarkable ability of diverse animals to sense and utilize the geomagnetic field for orientation and navigation, remains a molecularly unresolved mystery in sensory biology. The putative magnetoreceptor (MagR, previously known as IscA1) is a highly conserved iron-sulfur protein implicated in both magnetoreception and iron metabolism; however, the functional diversity among its cross-species homologs remains poorly understood. Cellular morphology is a key genetically determined trait that can be altered through genetic or environmental modifications—a process known as cell morphology engineering. Constructing engineered cells with specific morphological features and magnetic sensitivity to achieve remote, non-invasive magnetic modulation represents a crucial goal in this field with significant application potential. Therefore, this study aims to systematically investigate the effects of MagR heterologous expression on bacterial morphology and magnetic sensing capabilities, screen for MagR-based magnetically sensitive morphology engineering pathways, and reveal the underlying molecular mechanisms. Methods We systematically screened 28 MagR homologous genes from diverse prokaryotic and animal taxa to evaluate their expression and corresponding phenotypic effects in Escherichia coli (E. coli). To compare the differential magnetic responses among bacteria expressing various recombinant MagR proteins, we utilized high-throughput automated bright-field microscopic imaging and scanning electron microscopy (SEM). Furthermore, comprehensive biochemical and biophysical characterizations of iron and iron-sulfur cluster binding were performed using Ferrozine colorimetric assays, electron paramagnetic resonance (EPR) spectroscopy, ultraviolet-visible (UV-Vis) absorption, and circular dichroism (CD) spectroscopy. Additionally, 100 mT static magnetic field (SMF) exposure experiments were conducted to assess magnetically tunable phenotypes, while the intrinsic magnetic properties of purified MagR proteins were directly measured using a superconducting quantum interference device (SQUID) magnetometer. Results Our results demonstrated that the heterologous expression of MagR homologs induced varying degrees of bacterial filamentation. From this comprehensive screen, two distinct morphological patterns were identified: hydra (Hydra vulgaris) MagR (hyMagR) promoted uniform cell elongation and filamentation, exhibiting robust magnetic sensitivity manifested as significantly enhanced filamentation under the 100 mT SMF. In contrast, pigeon (Columba livia) MagR (clMagR) induced only low-frequency, extreme filamentation (sporadically exceeding 80 μm) with a relatively weaker magnetic morphological response. Mechanistically, our data unambiguously proved that these phenotypic differences are primarily driven by distinct iron redox preferences rather than total cellular iron accumulation. Specifically, hyMagR preferentially binds ferrous iron (Fe²⁺), whereas clMagR favors ferric iron (Fe³⁺) and forms more stable iron-sulfur clusters. Intriguingly, although SQUID magnetometry showed that purified clMagR exhibited approximately five-fold higher mass magnetic susceptibility than hyMagR, its cellular magnetic response was weaker. We hypothesize that the Fe²⁺-preferred intracellular environment associated with hyMagR overexpression primes the cell for enhanced generation of reactive oxygen species (ROS) via the Fenton reaction. Exposure to an SMF synergizes with this primed redox state, triggering the bacterial SOS response and upregulating cell division inhibitors to efficiently induce uniform filamentation. Conclusion Our findings identify the Fe²⁺/Fe³⁺ redox state as a critical determinant of MagR-mediated morphological remodeling and magnetic responsiveness. This discovery suggests a potential strategy for engineering magnetically responsive cellular systems for synthetic biology applications, and provides a plausible framework, which potentially combines intrinsic protein magnetism with redox-state modulation, for further investigating the evolutionary mechanisms of MagR-mediated magnetoreception.

Objective Magnetoreception, the remarkable ability of diverse animals to sense and utilize the geomagnetic field for orientation and navigation, remains a molecularly unresolved mystery in sensory biology. The putative magnetoreceptor (MagR, previously known as IscA1) is a highly conserved iron-sulfur protein implicated in both magnetoreception and iron metabolism; however, the functional diversity among its cross-species homologs remains poorly understood. Cellular morphology is a key genetically determined trait that can be altered through genetic or environmental modifications—a process known as cell morphology engineering. Constructing engineered cells with specific morphological features and magnetic sensitivity to achieve remote, non-invasive magnetic modulation represents a crucial goal in this field with significant application potential. Therefore, this study aims to systematically investigate the effects of MagR heterologous expression on bacterial morphology and magnetic sensing capabilities, screen for MagR-based magnetically sensitive morphology engineering pathways, and reveal the underlying molecular mechanisms. Methods We systematically screened 28 MagR homologous genes from diverse prokaryotic and animal taxa to evaluate their expression and corresponding phenotypic effects in Escherichia coli (E. coli). To compare the differential magnetic responses among bacteria expressing various recombinant MagR proteins, we utilized high-throughput automated bright-field microscopic imaging and scanning electron microscopy (SEM). Furthermore, comprehensive biochemical and biophysical characterizations of iron and iron-sulfur cluster binding were performed using Ferrozine colorimetric assays, electron paramagnetic resonance (EPR) spectroscopy, ultraviolet-visible (UV-Vis) absorption, and circular dichroism (CD) spectroscopy. Additionally, 100 mT static magnetic field (SMF) exposure experiments were conducted to assess magnetically tunable phenotypes, while the intrinsic magnetic properties of purified MagR proteins were directly measured using a superconducting quantum interference device (SQUID) magnetometer. Results Our results demonstrated that the heterologous expression of MagR homologs induced varying degrees of bacterial filamentation. From this comprehensive screen, two distinct morphological patterns were identified: hydra (Hydra vulgaris) MagR (hyMagR) promoted uniform cell elongation and filamentation, exhibiting robust magnetic sensitivity manifested as significantly enhanced filamentation under the 100 mT SMF. In contrast, pigeon (Columba livia) MagR (clMagR) induced only low-frequency, extreme filamentation (sporadically exceeding 80 μm) with a relatively weaker magnetic morphological response. Mechanistically, our data unambiguously proved that these phenotypic differences are primarily driven by distinct iron redox preferences rather than total cellular iron accumulation. Specifically, hyMagR preferentially binds ferrous iron (Fe²⁺), whereas clMagR favors ferric iron (Fe³⁺) and forms more stable iron-sulfur clusters. Intriguingly, although SQUID magnetometry showed that purified clMagR exhibited approximately five-fold higher mass magnetic susceptibility than hyMagR, its cellular magnetic response was weaker. We hypothesize that the Fe²⁺-preferred intracellular environment associated with hyMagR overexpression primes the cell for enhanced generation of reactive oxygen species (ROS) via the Fenton reaction. Exposure to an SMF synergizes with this primed redox state, triggering the bacterial SOS response and upregulating cell division inhibitors to efficiently induce uniform filamentation. Conclusion Our findings identify the Fe²⁺/Fe³⁺ redox state as a critical determinant of MagR-mediated morphological remodeling and magnetic responsiveness. This discovery suggests a potential strategy for engineering magnetically responsive cellular systems for synthetic biology applications, and provides a plausible framework, which potentially combines intrinsic protein magnetism with redox-state modulation, for further investigating the evolutionary mechanisms of MagR-mediated magnetoreception.

OBJECTIVE To address the management challenges encountered by inpatient pharmacy of our hospital in undertaking “internet-based medicine delivery” （IMD） services， and to improve service efficiency and medication safety. METHODS SWOT analysis method was applied to systematically examine both internal and external factors， formulate comprehensive management strategies， and restructure the service processes. Process optimization included： establishing a closed-loop process for dispensing and returning drugs based on the drug traceability codes； unifying the drug inventory of the inpatient pharmacy with that of IMD， optimizing the management of storage locations； improving the inventory management function of the hospital information system， and adjusting the inventory counting plan and shift scheduling rules. The indicators of the inpatient pharmacy， including inventory structure， dispensing efficiency， inventory checks accuracy rate， the rationality rate of prescription， and consistency rate of human-machine review， were compared before and after the implementation of the strategies to evaluate the implementation effects. RESULTS After implementation， the structure of the drug inventory was significantly optimized. The proportion of drugs approaching their expiration dates decreased by 35.55%， the proportion of unsold drugs decreased by 64.52%， and the proportion of drugs that had been accumulated for more than 4 weeks decreased by 33.26%. The speed of prescription dispensing increased by 34.92%， and the daily drug requisition time was shortened by 62.03%. The accuracy rate of inventory checks rose from 86.33% to 90.33%， while the rationality rate of prescriptions and the consistency rate of human-machine review rose from 86.00% and 89.33% to 95.00% and 97.00% respectively. Furthermore， the launch of the drug traceability system reduced external dispensing errors from 4 to 1. CONCLUSIONS The comprehensive management strategy based on SWOT analysis can effectively improve the quality of drug management in the inpatient pharmacy and the operational efficiency of IMD， ensuring timely and safe medication for patients.

This paper outlines the development of artificial intelligence （AI） and its applications in traditional Chinese medicine （TCM） research， and elucidates the roles and advantages of large language models， knowledge graphs， and natural language processing in advancing syndrome identification， prescription generation， and mechanism exploration. Using spleen-stomach diseases as an example， it demonstrates the empowering effects of AI in classical literature mining， precise clinical syndrome differentiation， efficacy and safety prediction， and intelligent education， highlighting an upgraded research paradigm that evolves from data-driven and knowledge-driven approaches to intelligence-driven models. To address challenges related to privacy protection and regulatory compliance in cross-institutional data collaboration， a "trusted federated evidence-based analysis platform for TCM spleen-stomach diseases" is proposed， integrating blockchain-based smart contracts， federated learning， and secure multi-party computation. The deep integration of AI with privacy-preserving computing is reshaping research and clinical practice in TCM spleen-stomach diseases， providing feasible pathways and a technical framework for building a high-quality， trustworthy TCM big-data ecosystem and achieving precision syndrome differentiation.

Objective To summarize and analyze the efficacy and influencing factors of second allogeneic hematopoietic stem cell transplantation (allo-HSCT) for acute leukemia relapsing after the first allo-HSCT. Methods Clinical data of 17 patients with acute leukemia who underwent second allo-HSCT at Peking University First Hospital from January 2005 to December 2024 were retrospectively analyzed. Results Among the 17 patients, 7 achieved long-term disease-free survival after second transplantation. The median progression-free survival after successful second transplantation was 7 months (range 8 days to 69 months). The relapse fatality was 24%, and the transplant-related fatality was 35%. Conclusions Second transplantation is an effective treatment for relapsed and refractory acute leukemia, but the relapse fatality and transplant-related fatality remain high. Patient age, time of relapse after the first transplantation and disease status before second transplantation are all factors that affect the efficacy of second transplantation. Younger age, late relapse and complete remission of disease before second transplantation are all beneficial for long-term disease-free survival after second transplantation.

Objective: To evaluate the effect of community comprehensive management model intervention among patients with dyslipidemia, so as to provide the reference for optimizing community management strategies and improving the target achievement rate for blood lipids among this population. Methods: From May to June 2023, a multi-stage stratified random sampling method was employed to select patients with dyslipidemia from primary healthcare institutions in Jiaxing City, Zhejiang Province. Eligible participants were randomly assigned to either a control group or an intervention group. The control group received routine management, while the intervention group was subjected to a community comprehensive management model in addition to the routine care. Both groups were followed up for 24 months. Data on demographic characteristics, lifestyle behaviors, physical examination indices, and blood biochemical indicators were collected at baseline and after the intervention through questionnaires, physical examinations, and laboratory tests. Changes in obesity rate, central obesity rate, target achievement rates for blood lipids, blood pressure, and blood glucose, as well as lifestyle modifications, were analyzed. Differences between the two groups before and after the intervention were assessed using generalized estimating equations (GEE). Results: The control group consisted of 560 patients, including 303 females (54.11%) and 430 individuals aged ≥65 years (76.79%). The intervention group also included 560 patients, with 300 females (53.57%) and 431 individuals aged ≥65 years (76.96%). Before the intervention, no statistically significant differences were observed between the two groups in terms of gender, age, educational level, history of chronic diseases, and atherosclerotic cardiovascular disease risk stratification (all P>0.05). After 24 months of intervention, interaction effects between group and time were observed for obesity rate, central obesity rate, target achievement rate for blood lipids, target achievement rate for blood glucose, composite target achievement rate, physical activity rate, and medication adherence (all P<0.05). Specifically, the intervention group demonstrated lower rates of obesity and central obesity, and higher target achievement rate of blood lipids, target achievement rate of blood glucose, composite target achievement rate, physical activity rate, and medication adherence compared to the control group. Conclusion The community comprehensive management model contributed to improvements in multiple metabolic parameters (including body weight, waist circumference, blood lipids, and blood glucose) among patients with dyslipidemia, and was associated with increased physical activity rate and medication adherence.

ObjectiveTo investigate the effects of Anmeidan （AMD） on protein expression of the ephrin type-A receptor 4 （EphA4）/ephrinA3 signaling pathway and synaptic structural function in an aged sleep deprivation model. MethodsSeventy-two 18-month-old aged mice were randomly divided into a blank group， a model group， AMD high-， medium-， and low-dose groups （26.26， 13.13， 6.565 g·kg^-1·d^-1， respectively）， and a melatonin group （1.3 mg·kg^-1·d^-1）， with 12 mice in each group. Cognitive function was assessed using the novel object recognition test. Hematoxylin-eosin （HE） staining was used to observe cell number and morphology in hippocampal tissues， and Nissl staining was performed to examine cellular structure and quantify Nissl bodies. Transmission electron microscopy was used to observe synaptic ultrastructure， with emphasis on changes in synaptic morphology and structure. Western blot was employed to detect the expression levels of EphA4， ephrinA3， brain-derived neurotrophic factor （BDNF）， glutamate aspartate transporter （GLAST）， glutamate transporter-1 （GLT-1）， growth-associated protein 43 （GAP43）， postsynaptic density protein 95 （PSD95）， and synaptophysin （SYN） in hippocampal tissues. Immunofluorescence double labeling was performed to co-stain EphA4 and ephrinA3 with glial fibrillary acidic protein （GFAP） and neuronal nuclei antigen （NeuN）， respectively， to observe the colocalization of target proteins with neurons and astrocytes. ResultsCompared with the blank group， the model group exhibited increased exploration time of familiar objects （P<0.01）， while exploration time of novel objects and the recognition index were decreased （P<0.01）. The number of neurons in the CA1， CA3， and dentate gyrus （DG） regions of the hippocampus was reduced， Nissl bodies were decreased， and synaptic structures were damaged. Protein expression levels of BDNF， GLAST， GLT-1， GAP43， PSD95， and SYN in hippocampal tissues were decreased， whereas the expression levels of EphA4， ephrinA3， and GFAP were increased. Compared with the model group， the AMD low-， medium-， and high-dose groups and the melatonin group showed increased exploration time of novel objects and higher novel object recognition indices （P<0.01）， along with significantly reduced exploration time of familiar objects （P<0.01）. Neuronal damage in the CA1 and DG regions was ameliorated， the number of Nissl bodies in the CA1 region was increased， and organelle and synaptic structural damage was alleviated. Protein expression levels of BDNF， GLAST， GLT-1， GAP43， PSD95， and SYN were increased， and protein expression levels of EphA4， ephrinA3， and GFAP were decreased （P<0.05，P<0.01）. ConclusionAMD can regulate protein expression of the EphA4/ephrinA3 signaling pathway in an aged sleep deprivation model， enhance synaptic protein expression， and improve neuronal synaptic damage.