1.Systematic review and Meta analysis of machine learning prediction models for adolescent non-suicidal self-injury
LUO Xin, XIE Qin, LIU Wanzhi, WANG Xia
Chinese Journal of School Health 2026;47(5):666-670
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.
2.Factors influencing treatment outcomes and the construction of a prediction model following neoadjuvant endocrine therapy in patients with ER-positive breast cancer
ZHANG Hua1 ; XIE Shurui1 ; HOU Fengqian2 ; WANG Fei3 ; SHI Jianfei4
Chinese Journal of Cancer Biotherapy 2026;33(5):554-562
[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。
3.Rapid identification of Plantago asiatica L. in different populations
Qian XU ; Kexin WU ; Jiaru WANG ; Yunfei HU ; Ruonan XIE ; Wenwen HONG
Journal of Pharmaceutical Practice and Service 2026;44(5):239-246
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.
4.The Diversity of Filamentous Morphologies and Magnetic Sensitivity Modulated by Diverse MagR Expression in Bacteria
Ya-Fei CHANG ; Jing ZHANG ; Peng ZHANG ; Xiu-Juan ZHOU ; Meng-Ke WEI ; Tian-Tian CAI ; Pei-Qi HE ; Jun-Feng WANG ; Can XIE
Progress in Biochemistry and Biophysics 2026;53(5):1439-1456
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.
5.The Diversity of Filamentous Morphologies and Magnetic Sensitivity Modulated by Diverse MagR Expression in Bacteria
Ya-Fei CHANG ; Jing ZHANG ; Peng ZHANG ; Xiu-Juan ZHOU ; Meng-Ke WEI ; Tian-Tian CAI ; Pei-Qi HE ; Jun-Feng WANG ; Can XIE
Progress in Biochemistry and Biophysics 2026;53(5):1439-1456
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.
6.Optimization strategy of inpatient pharmacy “internet-based medicine delivery”management model based on SWOT analysis
Jing XIE ; Shupei LI ; Shijia LIU ; Xiaomin WANG
China Pharmacy 2026;37(10):1346-1351
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.
7.Consideration of Health Economics Evidence in Clinical Practice Guidelines: Methods and Steps
Dongrui PENG ; Qi ZHOU ; Xufei LUO ; Zijun WANG ; Hui LIU ; Junxian ZHAO ; Jinghong HUANG ; Hongyu HU ; Xin XING ; Jing WU ; Shitong XIE ; Xiaohui WANG ; Yaolong CHEN
Medical Journal of Peking Union Medical College Hospital 2026;17(3):862-870
Health economics evidence plays an important role in linking clinical value evidence with health resource allocation decisions in the development of clinical practice guidelines. It can not only effectively balance clinical effectiveness and economic feasibility but also avoid forming "idealized" recommendations that are detached from the affordability of the healthcare system or the burden-bearing capacity of patients. To promote guideline developers to use health economics evidence more standardizedly and fully, this paper conducts an in-depth analysis of the current application status, existing challenges, access channels, and application processes of health economics evidence in current guidelines, and on this basis, puts forward considerations and suggestions for strengthening and standardizing the application of health economics evidence in China's clinical practice guidelines.
8.Mechanism of Bushen huoxue formula in improving pregnancy outcomes in mice with antiphospholipid antibody-related recurrent spontaneous abortion
Yongmei HAN ; Tianwei CUI ; Jundan XIE ; Xinyu HE ; Yuting GONG ; Manman WANG
China Pharmacy 2026;37(11):1408-1415
OBJECTIVE To investigate the mechanism of Bushen huoxue formula in improving pregnancy outcomes in mice with antiphospholipid antibody-related recurrent spontaneous abortion (aPL-RSA). METHODS SPF female BALB/c mice were randomly divided into normal control group, adjuvant control group, model group, and Bushen huoxue formula group. The aPL-RSA mouse model was established by immunization with β 2 glycoproteinⅠcombined with Freund’s adjuvant. From gestational day 0, the Bushen huoxue formula group was administered 1.653 6 g/(kg·d) of the prescription by gavage, while the other three groups received an equal volume of normal saline, twice daily for 15 consecutive days. The uterine appearance of pregnant mice was observed; individual embryo weight was recorded, and the embryo resorption rate was calculated. The proportion of activated CD41 + CD62p + platelets in platelet-rich plasma (PRP) was detected. Serum levels of thromboxane B2 (TXB2) and platelet factor 4 (PF4) were measured. Morphological changes of placental tissue were observed. The cell apoptosis rate of placental tissue was detected. The levels of malondialdehyde (MDA) content, tot al superoxide dismutase (T-SOD) activity, the interleukin-1β (IL-1β) and IL-18, the protein expressions of matrix metalloproteinase-3 (MMP-3), MMP-9, nuclear proliferation antigen-67 (Ki67), superoxide dismutase 2 (SOD2), Nod-like receptor protein 3 (NLRP3), apoptosis-associated speck-like protein containing a CARD (ASC), and caspase-1, as well as the mRNA expressions of superoxide dismutase 2(SOD2), NLRP3, ASC and caspase-1 of placental tissue were detected. RESULTS Compared with the normal control group and adjuvant control group, the model group showed significant decreases in individual embryo weight, T-SOD activity of placental tissue, and relative expression levels of SOD2 mRNA and protein ( P <0.05); while significant increases were observed in embryo resorption rate, proportion of activated CD41 + CD62p + platelets in PRP, serum levels of TXB2 and PF4, placental cell apoptosis rate, MDA content in placental tissue, relative protein expressions of MMP-3, MMP-9 and Ki67, relative protein and mRNA expression levels of NLRP3, ASC and caspase-1 as well as IL-1β and IL-18 levels ( P <0.05). The model group also exhibited irregular uterine morphology with localized atrophy in some uterine horns; placental tissue showed fragmentation of decidual cells, extensive vacuolization and necrosis of trophoblast cells in the labyrinthine zone, accompanied by vascular reduction. After intervention with Bushen huoxue formula, the above indicators were significantly reversed ( P <0.05), and uterine morphology and pathological damage were markedly improved. CONCLUSIONS Bushen huoxue formula can effectively improve pregnancy outcomes in aPL-RSA model mice, and its mechanism may be closely related to inhibiting platelet activation, reducing oxidative stress injury, enhancing trophoblast cell function, and suppressing the inflammatory response mediated by the NLRP3 inflammasome pathway.
9.Interpretation of Evidence-to-decision Framework and Its Application in Pharmacovigilance Guidelines of Chinese Patent Medicines
Hongyan ZHANG ; Xin CUI ; Yuanyuan LI ; Zhifei WANG ; Mengmeng WANG ; Shuo YANG ; Xiaoxiao ZHAO ; Fumei LIU ; Yaxin WANG ; Rui MA ; Yanming XIE ; Lianxin WANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):220-228
To interpret the evidence-to-decision (EtD) framework and to illustrate its application in traditional Chinese medicine (TCM) guideline development using the example of the Pharmacovigilance Guideline of Chinese Patent Medicine, thereby providing methodological references for TCM guideline standardization. Based on the core three stages of the EtD framework (formulating the question, making an assessment of the evidence, and drawing conclusions), critical decision points and evaluation evidence within the evidence-translation process were systematically addressed, aligning with the purpose, scope, and key questions of the guideline. Qualitative research methods, such as the nominal group technique, were employed to formulate recommendations. The analysis was conducted based on the EtD framework. During question formulation, the specific characteristics and practical needs of pharmacovigilance for Chinese patent medicines were clarified, focusing on the core objective of safety assurance throughout the product lifecycle. In the evidence assessment, multi-source evidence was integrated, including policy documents, literature research, and expert consensus, completing the evidence evaluation. Finally, in recommendation-forming, dispersed research evidence and expert experience were synthesized into consensus, culminating in the guideline's completion through solicitation of opinions and peer review. The EtD framework provides a structured tool for evidence-to-decision translation in TCM guideline development, effectively enhancing the transparency and scientific rigor of the process. Therefore, it is recommended that TCM guideline development adopt the EtD framework to improve the evidence-to-decision process with TCM characteristics.
10.Compilation Instruction and Key Point Interpretation for Guidelines for Construction of Traditional Chinese Medicine Pharmacovigilance System in Medical Institutions
Shuoshuo WEI ; Fumei LIU ; Li ZHANG ; Yuanyuan LI ; Zhifei WANG ; Xiaoxiao ZHAO ; Xin CUI ; Ruili WEI ; Shuo YANG ; Yanming XIE ; Lianxin WANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):229-237
The Guidelines for Construction of Traditional Chinese Medicine Pharmacovigilance Systems in Medical Institutions (T/CACM 1563.2-2024) were the first special guideline in China to systematically assist medical institutions in establishing a pharmacovigilance system tailored to the characteristics of traditional Chinese medicine (TCM). This guideline was jointly developed with 23 authoritative medical and research institutions in China, under the lead of the Institute of Basic Clinical Medicine, China Academy of Chinese Medical Sciences. The purpose of this guideline was to standardize pharmacovigilance work throughout the entire lifecycle of TCM (including research and development, marketing, and application) and to establish a four-dimensional framework of "organizational structure, institutional system, information platform, and vigilance activities". Key components included the establishment of a TCM Safety Committee, the construction of nine core systems, the development of an information platform that complies with International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use (ICH) E2B standards, alongside the risk monitoring, identification, assessment, and control during clinical trials and post-marketing phases. Therefore, this guideline filled a significant gap in the systemic standards for TCM safety management within medical institutions. Strictly adhering to domestic and international laws and regulations, the guideline compilation involved multiple rounds of expert interviews, systematic evidence integration, and broad consensus. This guideline was specified to be applicable to medical institutions at all levels, primarily addressing core issues, including the difficulty in adverse reaction identification, low reporting rates, and incomplete risk management chains due to the complex composition and diverse application of TCM. The compilation process was scientific and rigorous, ensuring alignment with current national laws and regulations, and was registered internationally. In the future, implementation will be promoted through standardized training, tiered dissemination, as well as a post-effect evaluation and dynamic revision mechanism starting two years after publication. All these aimed to enhance medical institutions' proactive capabilities in preventing and controlling TCM safety risks, ensure patient medication safety, and promote the high-quality development of TCM.


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