1.Research progress on effects, toxic mechanisms, and risk assessment of organophosphate flame retardants on blood system
Ziyuan LI ; Lin LU ; Xiaoting JIN ; Yuxin ZHENG
Journal of Environmental and Occupational Medicine 2026;43(4):509-515
Organophosphate flame retardants (OPFRs) have been widely used as the main alternatives to bromine-based flame retardants, resulting in their widespread detection in environmental media and even in human blood. The potential health risks arising therefrom, particularly the direct impacts on the blood system, have become a focus in the field of environmental health. This article systematically reviewed the latest research progress on the hematotoxicity of OPFRs, covering three core aspects: the toxic effects aspect, which systematically elaborated on the bidirectional interference of OPFRs with coagulation function, their toxic effects on the hematopoietic system, and their disruptive effects on blood biochemical metabolism; the mechanistic analysis aspect, which dissected the multi-pathway, multi-target toxic mechanism network of OPFRs, including common pathways based on oxidative stress and inflammatory responses, the direct and indirect regulation of coagulation function mediated by nuclear receptors and endocrine disruption, and the disturbance of blood cell production at the source through disruption of the hematopoietic microenvironment; and the risk assessment aspect, which, in response to the limitations of traditional methods, focused on the application prospects and core advantages of novel approaches based on structure-activity relationships in filling data gaps and achieving precise risk prediction. This review aims to systematically summarize the research progress on the mechanisms of OPFR-induced hematotoxicity, providing systematic theoretical support for subsequent in-depth mechanistic studies, targeted epidemiological investigations, and the optimization of risk assessment models.
2.Construction of Perimenopausal Depression Animal Models and Mechanism of Action of Traditional Chinese Medicine: A Review
Xiaoting LI ; Shouzhu XU ; Jun KE ; Zhan ZHANG ; Bao XIN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(4):258-267
Perimenopausal depression (PMD) is an affective disorder that occurs in women during the transition from sexual maturity to old age. It can induce various complications, such as insomnia and cognitive decline. The etiology of PMD is complex. Although multiple hypotheses have been proposed, there is still no unified theory that fully explains its pathogenesis. Research into its mechanisms relies heavily on animal experiments, and establishing reliable animal models is crucial for experimental studies. Appropriate animal models can better simulate human pathophysiological states, rapidly evaluate the efficacy and safety of drugs and intervention methods, grasp the essence of the disease, and uncover its intrinsic connections, thereby exploring more advanced intervention strategies. However, there is a lack of systematic review and summarization of literature related to model construction. Additionally, traditional Chinese medicine (TCM), adhering to the principles of ''syndrome differentiation and treatment'' and ''holistic concept'', has shown significant efficacy in treating PMD. In recent years, research exploring and analyzing its therapeutic mechanisms has been increasing. Therefore, to gain a clearer and more comprehensive understanding of PMD animal modeling methods and the mechanisms of TCM, this paper reviewed Chinese and English literature on PMD animal models and mechanisms of TCM in PMD treatment. It summarized the construction methods of single-factor and multi-factor PMD models, and discussed the advantages and disadvantages of each modeling approach. Furthermore, it delved into the mechanisms of TCM intervention in PMD, revealing that TCM formulas primarily exert their effects by regulating the hypothalamic-pituitary-adrenal axis, hypothalamic-pituitary-ovarian axis, gut-brain axis, cell signaling pathways, neural circuits, hormone levels, and neurotransmitter levels. This review aims to provide a reference for future research in this field. In summary, by summarizing the progress in the methods for PMD animal model construction and the mechanisms of TCM, the paper seeks to offer new insights into the mechanistic research of TCM intervention in PMD.
3.Expert Consensus on Blood Flow and Oxygen Delivery Phenotyping and Clinical Management of Septic Shock(2025)
Wei HUANG ; Xinchen WANG ; Wenzhao CHAI ; Keliang CUI ; Bo YAO ; Zhiqun XING ; Cui WANG ; Jingjing LIU ; Shiyi GONG ; Dongkai LI ; Wanhong YIN ; Xiaoting WANG ; Wei DU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):40-58
Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. Septic shock is the primary cause of mortality in sepsis, with its core pathophysiological mechanism being severe ischemia and hypoxia in critical units—composed of microcirculation and the mitochondria of functional cells—resulting from disruptions in blood flow and oxygen flow following a dysregulated host response. Due to the systemically convergent yet clinically heterogeneous nature of the host response, current understanding and management strategies for hemodynamics remain inconsistent, often leading to inadequate resuscitation or overtreatment. To improve the quality of care, based on a systematic review of the "blood flow-oxygen flow" theory, an expert panel emphasizes reevaluating septic shock from an integrated perspective of blood flow and oxygen flow, and has formulated the
4.Expert Consensus on Neurocritical Care Monitoring and Management in Beijing and Tibet(2025)
Drolma PHURBU ; Wenjin CHEN ; Heng ZHANG ; Jian ZHANG ; Xiaomeng WANG ; Guoying LIN ; Wenjun PAN ; Xiying GUI ; Xin CAI ; Chodron TENZIN ; Jianlei FU ; Qianwei LI ; TSEYANG ; Yijun LIU ; Bo LIU ; Tsering DROLMA ; Yudron SONAM ; KYILV ; Samdrup TSERING ; Wa DA ; Juan GUO ; Cheng QIU ; Huan CHEN ; Xiaoting WANG ; Yangong CHAO ; Dawei LIU ; Wenzhao CHAI ; Chenggong HU ; Wanhong YIN ; Shihong ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):59-72
Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.
5.Standards for the Application of Hemodynamic Monitoring Technology in Critical Care
Hua ZHAO ; Hongmin ZHANG ; Xin DING ; Huan CHEN ; Jun DUAN ; Wei DU ; Bo TANG ; Yuankai ZHOU ; Dongkai LI ; Xinchen WANG ; Cui WANG ; Gaosheng ZHOU ; Xiaoting WANG
Medical Journal of Peking Union Medical College Hospital 2026;17(1):73-85
With the rapid advancement of hemodynamic indices and monitoring technologies, their classification methods and application processes have become increasingly complex. Currently, no unified standard hasbeen established, making it difficult to fully meet the clinical requirements for hemodynamic management. To assist in hemodynamic monitoring assessment and therapeutic decision-making in critically ill patients, the Critical Hemodynamic Therapy Collaborative Group, in conjunction with the Critical Ultrasound Study Group, has jointly developed the Standard for the Application of Hemodynamic Monitoring Techniques in Critical Care. The first part of this standard systematically categorizes hemodynamic indicators into flow indicators, pressure and its derivative indicators, and tissue perfusion indicators, while elaborating on the clinical application of each. The second part establishes a standardized clinical implementation pathway for hemodynamic monitoring. It proposes a tiered monitoring strategy-comprising basic, advanced, indication-specific, and special scenario monitoring-tailored to different clinical settings. It emphasizes the central role of critical care ultrasound across all levels of monitoring and establishes hemodynamic assessment standards for organs such as the brain, kidneys, and gastrointestinal tract. This standard aims to provide a unified framework for clinical practice, teaching, training, and research in critical care medicine, thereby promoting standardized development within the discipline.
6.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
7.Advances in reno-protective effects of traditional Chinese medicine in the treatment of hyperuricemia
Xiaoting ZHOU ; Yu DUAN ; Xingyuan LI ; Qin LIU ; Aijun LIU
Journal of Pharmaceutical Practice and Service 2026;44(4):167-172
Hyperuricemia (HUA) is a common metabolic disorder characterized by persistently elevated serum uric acid levels, leading to uric acid-related renal injury through complex mechanisms involving inflammation, oxidative stress, and fibrosis. Key traditional Chinese medicine (TCM) formulas (e.g., Simiao Powder, Tongfengning) and individual herbal compounds (alkaloids, flavonoids, polysaccharides) with urate-lowering and renal protective properties were systematically summarized, including their mechanisms of regulating uric acid transporters (organic anion transporter 3, urate anion transporter 1, glucose transporter type 9), inhibiting inflammatory responses (via NF-κB signaling), reducing oxidative stress (via mitochondrial pathways and antioxidant enzyme enhancement), and attenuating renal fibrosis (via PI3K/AKT signaling). The challenges of current studies mainly focus on unclear mechanisms of action and insufficient clinical research. Future research may further explore TCM resources, clarify dual-action mechanisms of urate reduction and renal protection, and identify new therapeutic strategies for hyperuricemia-related renal injury.
8.Association of family economic status and parent-child relationship with depressive symptoms in adolescents
LIAO Xiaoting,HUANG Jiongli,ZOU Zengli,LI Zhongyou,LI Hai
Chinese Journal of School Health 2025;46(8):1111-1115
Objective:
To analyse the influence path of family economic status on adolescent depressive symptoms, and to explore the chained mediation role of peer relationship and self satisfaction, as well as the moderating effect of the parent-child relationship, so as to provide a theoretical basis for the prevention and control of adolescent depressive symptoms.
Methods:
Data were obtained from the Database of Youth Health (DYH) in the National Population Health Science Data Center, and a total of 11 277 samples were included. Questionnaires were used to obtain information on family economic status, peer relationship, self satisfaction, parent-child relationship and depressive symptoms. Spearman correlation analysis was used to examine correlations among variables. Hierarchical linear regression analysis was used to analyze effects of family economic status and parent-child relationship on depressive symptom scores. The Process macro program was adopted to test the chained mediating effects of peer relationship and self satisfaction and the moderating effect of parent-child relationship.
Results:
The prevalence rate of depressive symptoms among adolescents was 24.2%. The prevalence rates of depressive symptoms significantly differed among adolescents with different family economic status and places of residence( χ 2=210.12, 4.18, both P <0.05). Adolescents with depressive symptoms had significantly lower scores on peer relationship, self satisfaction, and parent-child relationship compared to those without depressive symptoms ( t = 27.76 , 42.43, 31.12, all P <0.05). Family economic status were negatively correlated with adolescent depressive symptom scores ( B =-0.12, P <0.05).Parent-child relationship was negatively correlated with depressive symptom scores ( B = -0.02 , P < 0.05 ). After introducing the parent-child relationship, the negative effect of family economic conditions was reduced ( B = -0.08, P < 0.01). Family economic conditions affected depressive symptoms through the chained mediating pathway involving peer relationship ( B = 2.07 ) and self satisfaction ( B =3.88)(both P <0.05). The parent-child relationship moderated this pathway: under conditions of high quality parent child relationship, the effect of family economic status on peer relationships was weaker ( B = 0.15); under low quality parent-child relationship, the positive effect of family economic status on peer relationships was enhanced ( B = 1.15 ) (both P <0.01).
Conclusions
Family economic status exert both direct and chain mediating effects on adolescent depression, and high quality parent-child relationship can play a protective moderation role. For economically disadvantaged families, it is critical to synergistically enhance parent-child relationship and social support in order to reduce depression risk among adolescents.
9.Evolution and development of mental health policies for children and adolescents in China
Chinese Journal of School Health 2025;46(9):1246-1251
Objective:
To systematically review the development and changes in mental health policies within the National Outline for Children s Development in China from 1992 to 2030, providing a reference basis for future formulation of mental health policies among children and adolescent in China.
Methods:
Based on the four editions of the National Outline for Children s Development in China across different periods from 1992 to 2030, word frequency analysis was used to reveal shifts in policy priorities, and an internationally recognized framework for adolescent health policy analysis was applied to conduct a textual review.
Results:
Word frequency analysis revealed that the term "psychological" appeared 6 times in the National Outline for Children s Development in China (2001-2010) but increased to 20 times in the National Outline for Children s Development in China (2021-2030) (abbreviated as the National Outline of 2021), while the term "health" rose from 4 times in the National Outline for Children s Development Plan in China in the 1990s to 68 times in the National Outline of 2021. The scope of mental health policy interventions expanded to encompass five key areas:health, safety, education, welfare and legal protection. Textual analysis highlighted that the policies of the National Outline for Children s Development in China were demand driven, prioritized vulnerable groups and continuously broadened their coverage, emphasizing sustainability and appropriateness, and monitoring/evaluation mechanisms. By 2023, 42.3% of primary schools and 64.8% of secondary schools employed full time mental health education teachers. However, the National Outline for Children s Development in China lacked direct evidence of children and adolescents participation in policy formulation, and publicly available mental health data disaggregated by age and gender remained limited.
Conclusion
Mental health policies of children and adolescents in China have evolved from nonexistence to gradual refinement, yet institutionalized channels for youth involvement in policy development and evaluation remain insufficient, and transparency in age and gender specific mental health data needs improvement.
10.Influencing factors for cognitive function among aluminum workers based on a quantile regression model
XIN Yulu ; LI Mujia ; DING Xiaohui ; LU Yang ; LI Wenjing ; WANG Linping ; LU Xiaoting ; SONG Jing
Journal of Preventive Medicine 2025;37(4):382-385,389
Objective:
To investigate the influencing factors for cognitive function among aluminum workers, so as to provide the basis for intervention and prevention of cognitive function among aluminum-exposed populations.
Methods:
From July to August 2019, male aluminum workers in the electrolytic aluminum workshop of an aluminum factory in Shanxi Province were selected using the cluster sampling method. Demographic information, prevalence of chronic diseases, lifestyle behaviors, night shifts, and sleep quality were collected through questionnaire surveys. Blood aluminum levels were measured using inductively coupled plasma-mass spectrometry. Cognitive function was investigated using the Montreal Cognitive Assessment. Factors affecting cognitive function among aluminum workers were analyzed by a quantile regression model.
Results:
A total of 142 aluminum workers were surveyed, including 57 workers aged 20 to <40 years (40.14%) and 85 workers aged 40 to 60 years (59.86%). The median blood aluminum level was 38.23 (interquartile range, 21.82) μg/L. The median cognitive function score was 24.00 (interquartile range, 3.00) points. Quantile regression analysis revealed that older age (βQ5=-0.186, 95%CI: -0.269 to -0.102), lower educational level (βQ5=1.933, 95%CI: 1.029 to 2.838; βQ10=1.743, 95%CI: 0.480 to 3.006; βQ50=1.038, 95%CI: 0.141 to 1.935; βQ75=1.006, 95%CI: 0.437 to 1.575; βQ90=1.111, 95%CI: 0.291 to 1.930), smoking (βQ5=-2.056, 95%CI: -3.264 to -0.849), alcohol consumption (βQ5=-1.821, 95%CI: -3.247 to -0.396) and higher blood aluminum level (βQ5=-0.075, 95%CI: -0.110 to -0.040; βQ10=-0.078, 95%CI: -0.127 to -0.029; βQ50=-0.075, 95%CI: -0.110 to -0.040; βQ75=-0.057, 95%CI: -0.079 to -0.035; βQ90=-0.067, 95%CI: -0.099 to -0.035) were associated with cognitive function decline among aluminum workers.
Conclusions
Educational level and blood aluminum level are the main factors affecting the cognitive function among aluminum workers. Among those with lower cognitive function scores, age, smoking and alcohol consumption are also associated with cognitive function.


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