1.Research progress on the association between physical activity and sleep quality in adolescents
WANG Jinxian*, LIU Yuan, WU Jian, WU Huipan, WANG Zhe, ZHANG Yingkun, WANG Yi, YIN Xiaojian
Chinese Journal of School Health 2026;47(1):140-143
Abstract
To promote adolescents active participation in physical activity and improve sleep quality, the article analyzes the relationship of adolescent physical activity with subjective sleep satisfaction, sleep latency, sleep continuity, sleep efficiency, and sleep duration. It explores potential mechanisms underlying the link between physical activity and sleep quality, including physiological mechanisms (circadian rhythms, body temperature, neuroendocrine systems, and immune function), and psychological mechanisms (stress relief, improvement of negative emotions, and promotion of mental relaxation). Based on existing research, it is recommended that adolescents engage in moderate to vigorous physical activity daily to promote improved sleep quality.
2.The mechanism and therapeutic potential of nuclear factor erythroid 2-related factor 2 in acute liver injury
Huiyue TAO ; Na YANG ; Yang LIU
Journal of Clinical Hepatology 2026;42(1):209-216
Acute liver injury poses a serious threat to the life safety of patients, and currently there is still a lack of satisfactory treatment options. As a cytoprotective transcription factor, nuclear factor erythroid 2-related factor 2 (Nrf2) has important potential in the treatment of acute liver injury. Nrf2 exerts a protective effect by inducing the expression of antioxidant enzymes, regulating iron and fatty acid metabolism, protecting mitochondrial function, and inhibiting inflammatory responses, and it can also enhance the antioxidant capacity of the liver and inhibit the progression of acute liver injury by activating antioxidant response element and promoting the expression of the antioxidant enzymes such as heme oxygenase-1, glutathione transferase, and glutamate-cysteine ligase catalytic subunit. Nrf2 can modulate acute liver injury caused by different etiologies. Natural compounds such as curcumin and synthetic compounds such as oltipraz can activate Nrf2 through different mechanisms, enhance the antioxidant capacity of the liver, and thus exert a protective effect against acute liver injury. However, there are still various challenges in Nrf2 in the treatment of acute liver injury, and its mechanism of action remains unclear, with most studies in the stage of experimental study. In the future, it is expected to deeply investigate the mechanism of action of the Nrf2 signaling pathway, optimize drug development strategies, improve the clinical application theories for agonists, and provide more effective and precise treatment regimens for patients with acute liver injury.
3.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.
4.Treatment of Hyperuricemia and Gouty Arthritis by Buyang Huanwu Tongfeng Decoction via Inhibition of PPAR-γ/NF-κB/AGEs/RAGE Pathway Based on Network Pharmacology
Yue CAO ; Wanmei YAO ; Tao YANG ; Man YANG ; Ruimin JIA ; Rongrong LU ; Xue FENG ; Biwang LIU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(1):182-192
ObjectiveThis paper aims to investigate the potential molecular biological mechanism of Buyang Huanwu Tongfeng decoction in treating hyperuricemia and gouty arthritis by network pharmacology and molecular docking technology and preliminarily verify the mechanism through animal experiments. MethodsThe active ingredients and targets in the Buyang Huanwu Tongfeng decoction were obtained by the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and ETCM databases. The DisGeNET and GeneCards databases were utilized to acquire disease targets associated with hyperuricemia and gouty arthritis. These disease targets were then intersected with drug targets to identify key targets. The R language ClusterProfiler package and Python were employed for conducting gene ontology(GO) enrichment analysis and Kyoto encyclopedia of genes and genomes(KEGG) enrichment analysis. The regulatory network diagram of the drug-key target-function-pathway was visualized using Cytoscape 3.9.1 software, and the protein-protein interaction (PPI) network for key targets was depicted. Finally, the hub gene was determined through topological analysis. Auto Dock, PyMOL, and other software were used for molecular docking to explore the possible therapeutic mechanism of Buyang Huanwu Tongfeng decoction for hyperuricemia and gouty arthritis. In animal experiments, a composite rat model of hyperuricemia induced by intraperitoneal injection of oteracil potassium combined with gouty arthritis induced by the modified Coderre method was established. Through hematoxylin-eosin(HE) staining, uric acid test, enzyme linked immunosorbent assay(ELISA), Western blot, and real-time polymerase chain reaction(Real-time PCR), the molecular mechanism and key targets of Buyang Huanwu Tongfeng decoction for treating hyperuricemia and gouty arthritis were observed. ResultsAfter screening and removing duplicate values, 76 active ingredients and 15 key targets were finally obtained. GO enrichment analysis yielded that the treatment of hyperuricemia and gouty arthritis with Buyang Huanwu Tongfeng decoction was significantly associated with acute inflammatory response, astrocyte activation, regulation of interleukin (IL)-8 production, nuclear receptor activity, and binding of growth factor receptor. KEGG pathway enrichment analysis obtained that the key target genes were significantly associated with the IL-17 signaling pathway, advanced glycosylation end/receptor of advanced glycation endproducts(AGE/RAGE) signaling pathway, anti-inflammatory, and other pathways. PPI network indicated that albumin(ALB), peroxisome proliferator-activated receptor-γ (PPAR-γ), IL-6, IL-1β, and C-reactive protein(CRP) were the key protein targets. The molecular docking results showed that ALB had the strongest binding force with beta-carotene (β-carotene). Biochemical results showed that blood uric acid decreased in the Buyang Huanwu Tongfeng decoction groups. HE staining results showed that the low-dose (7.76 g·kg-1·d-1), medium-dose (15.53 g·kg-1·d-1), and high-dose (31.05 g·kg-1·d-1) groups of Buyang Huanwu Tongfeng decoction had different degrees of remission, and the remission of the high-dose group was the most obvious. Fibroblastic tissue hyperplasia in synovial joints accompanied with inflammatory cell infiltration, as well as inflammatory cell infiltration in renal tissue of the high-dose group was significantly reduced, followed by the medium-dose and low-dose groups, and the expression of ALB, PPAR-γ, IL-6, IL-1β, and CRP was down-regulated to different degrees. ConclusionBy regulating the targets such as ALB, PPAR-γ, IL-6, IL-1β, and CRP, inhibiting the PPAR-γ/nuclear transcription factor (NF)-κB pathway, and reducing AGEs/RAGE-mediated inflammation, Buyang Huanwu Tongfeng decoction exerts anti-inflammatory and analgesic effects and activates blood circulation and diuresis in the treatment of hyperuricemia and gouty arthritis.
5.Optimization Strategy and Practice of Traditional Chinese Medicine Compound and Its Component Compatibility
Zhihao WANG ; Wenjing ZHOU ; Chenghao FEI ; Yunlu LIU ; Yijing ZHANG ; Yue ZHAO ; Lan WANG ; Liang FENG ; Zhiyong LI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(1):299-310
Prescription optimization is a crucial aspect in the study of traditional Chinese medicine (TCM) compounds. In recent years, the introduction of mathematical methods, data mining techniques, and artificial neural networks has provided new tools for elucidating the compatibility rules of TCM compounds. The study of TCM compounds involves numerous variables, including the proportions of different herbs, the specific extraction parts of each ingredient, and the interactions among multiple components. These factors together create a complex nonlinear dose-effect relationship. In this context, it is essential to identify methods that suit the characteristics of TCM compounds and can leverage their advantages for effective application in new drug development. This paper provided a comprehensive review of the cutting-edge optimization experimental design methods applied in recent studies of TCM compound compatibilities. The key technical issues, such as the optimization of source material selection, dosage optimization of compatible herbs, and multi-objective optimization indicators, were discussed. Furthermore, the evaluation methods for component effects were summarized during the optimization process, so as to provide scientific and practical foundations for innovative research in TCM and the development of new drugs based on TCM compounds.
6.Association between sleep quality and mental health among middle school students
WU Huipan, LIU Yuan, YIN Xiaojian, WANG Jinxian, WANG Yi, GUO Yaru, XU Dingkun
Chinese Journal of School Health 2025;46(6):770-773
Objective:
To explore the relationship between sleep quality and mental health among middle school students, so as to provide scientific basis for improving mental health among adolescents.
Methods:
From September to December 2023, a stratified cluster random sampling method was employed to select 5 713 middle school students aged 13-18 from Shanghai, Suzhou, Taiyuan, Wuyuan, Xingyi, and Urumqi. Sleep quality and mental health were assessed using the Pittsburgh Sleep Quality Index (PSQI) and the Brief Adolescent Mental Health Assessment Questionnaire. Spearman correlation analysis and linear regression analysis were used to explore the relationship between sleep quality and various dimensions of mental health among middle school students.
Results:
There was a statistically significant difference in the total PSQI score among middle school students of different age groups ( H=226.49, P <0.01), and there was no statistically significant difference in the psychological health scores of middle school students in different age groups ( H=5.37, P >0.05). In terms of gender, the total PSQI score for girls [5.00 (3.00, 6.00)] was higher than that for boys [4.00 (2.00, 6.00)]; additionally, boys had higher mental health scores [85.00 (75.00, 90.00)] than females [83.00 (70.00, 89.00)], with statistically significant differences ( Z=-10.90, -8.16, P <0.01). Spearman correlation analysis revealed a negative correlation between total PSQI scores and mental health scores ( r=-0.51, P <0.05) among middle school students. After controlling for variables such as maximum oxygen uptake, physical activity and nutritional status, linear regression analysis further confirmed that higher PSQI scores were associated with lower mental health scores ( B=-3.76, 95%CI = -4.15 to -3.38, P <0.01).
Conclusion
There is a negative correlation between PSQI scores and mental health scores among middle school students, indicating that improving sleep quality may contribute to better mental health among middle school students.
7.Effect and mechanism of Moringa oleifera leaves, seeds, and velamen in improving learning and memory impairments in mice based on transcriptomic and metabolomic.
Zhi-Hao WANG ; Shu-Yi FENG ; Tao LI ; Wan-Ping ZHOU ; Jin-Yu WANG ; Yang LIU ; Lin ZHANG ; Yuan-Yuan XIE ; Xiu-Lan HUANG ; Zhi-Yong LI ; Lu-Qi HUANG
China Journal of Chinese Materia Medica 2025;50(13):3793-3812
Moringa oleifera, widely utilized in Ayurvedic medicine, is recognized for its leaves, seeds, and velamen possessing traditional effects such as vātahara(wind alleviation), sirovirecaka(brain clearing), and hridya(mental nourishment). This study aims to identify the medicinal part of ■ in the Sārasvata ghee formulation as described in the Bower Manuscript, while investigating the ameliorative effects of different medicinal parts of M. oleifera on learning and memory deficits in mice and elucidating the underlying molecular mechanisms. A total of 144 male ICR mice were randomly assigned to the following groups: control, model(scopolamine hydrobromide, Sco, 2 mg·kg~(-1)), donepezil(donepezil hydrochloride, Don, 3 mg·kg~(-1)), M. oleifera leaf low-, medium-, and high-dose groups(0.5, 1, 2 g·kg~(-1)), M. oleifera seeds low-, medium-, and high-dose groups(0.25, 0.5, 1 g·kg~(-1)), and M. oleifera velamen low-, medium-, and high-dose groups(0.31, 0.62, 1.24 g·kg~(-1)). Learning and memory abilities were assessed using the passive avoidance test and Morris water maze. Nissl and HE staining were employed to examine histopathological changes in the hippocampus. Transcriptomics and targeted metabolomics were used to screen differential genes and metabolites, with MetaboAnalyst 6.0 and O2PLS methods applied to identify key disease-related targets and pathways. RESULTS:: demonstrated that M. oleifera leaf(1 g·kg~(-1)) significantly ameliorated Sco-induced learning and memory deficits, outperforming M. oleifera seeds(0.25 g·kg~(-1)) and M. oleifera velamen(1.24 g·kg~(-1)). This was evidenced by improved behavioral performance, reversal of neuronal damage, and reduced acetylcholinesterase(AChE) activity. Multi-omics analysis revealed that M. oleifera leaf upregulated Tuba1c gene expression through the synaptic vesicle cycle, enhancing glutamate(Glu), dopamine(DA), and acetylcholine(ACh) release via Tuba1c-Glu associations for neuroprotection. M. oleifera seeds targeted the dopaminergic synapse pathway, promoting memory consolidation through Drd2-ACh associations. M. oleifera velamen was associated with the cocaine addiction pathway, modulating dopamine metabolism via Adora2a-DOPAC, with limited relevance to learning and memory. In conclusion, M. oleifera leaf exhibits superior efficacy and mechanistic advantages over M. oleifera seeds and velamen, suggesting that the ■ in the Sārasvata ghee formulation is likely M. oleifera leaf, providing scientific evidence for its identification in ancient texts.
Animals
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Moringa oleifera/chemistry*
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Male
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Mice
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Seeds/chemistry*
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Plant Leaves/chemistry*
;
Mice, Inbred ICR
;
Memory Disorders/psychology*
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Transcriptome/drug effects*
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Memory/drug effects*
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Learning/drug effects*
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Metabolomics
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Humans
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Drugs, Chinese Herbal/administration & dosage*
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Maze Learning/drug effects*
8.Antidepressant effects of Ziziphi Spinosae Semen extract on depressive-like behaviors in sleep deprivation rats based on integrated serum metabolomics and gut microbiota.
Liang-Lei SONG ; Ya-Yu SUN ; Ze-Jia NIU ; Jia-Ying LIU ; Xiang-Ping PEI ; Yan YAN ; Chen-Hui DU
China Journal of Chinese Materia Medica 2025;50(16):4510-4524
Based on serum metabolomics and gut microbiota technology, this study explores the effects and mechanisms of the water extract of Ziziphi Spinosae Semen(SZRW) and the petroleum ether extract of Ziziphi Spinosae Semen(SZRO) in improving depressive-like behaviors induced by sleep deprivation. A modified multi-platform water environment method was employed to establish a rat model of sleep deprivation. Depressive-like behaviors in rats were assessed through the sucrose preference test and forced swim test. The expression of barrier proteins, such as Occludin, in the colon was determined by immunofluorescence. UPLC-Q-Orbitrap MS was utilized to analyze the serum metabolic profiles of sleep-deprived rats, screen for differential metabolites, and analyze metabolic pathways. The diversity of the gut microbiota was detected using 16S rRNA gene sequencing. Spearman correlation coefficient analysis was conducted to assess the correlation between differential metabolites and gut microbiota. The results indicated that SZRO significantly increased the sucrose preference index and decreased the immobility time in the forced swim test in rats. A total of 34 differential metabolites were identified through serum metabolomics. SZRW and SZRO shared five metabolic pathways, including phenylalanine metabolism. SZRW uniquely featured taurine and hypotaurine metabolism, while SZRO uniquely featured linoleic acid metabolism and tyrosine metabolism. Correlation analysis revealed that SZRW could upregulate the abundance of Bilophila, promoting the production of indole-3-propionic acid and subsequently upregulating the expression levels of intestinal tight junction proteins such as ZO-1, Occludin, and Claudin-1. SZRO could indirectly influence metabolic pathways such as arginine metabolism and linoleic acid metabolism by upregulating the abundance of gut microbiota such as Coprococcus and Eubacterium species. Both SZRW and SZRO can regulate endogenous metabolism, including amino acids, energy, and lipids, alter the gut microbiota microecology, and improve depressive-like behaviors. SZRO demonstrated superior effects in regulating metabolic pathways and gut microbiota structure compared to SZRW. The findings of this study provide a scientific basis for elucidating the pharmacodynamic material basis of Ziziphi Spinosae Semen.
Animals
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Rats
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Gastrointestinal Microbiome/drug effects*
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Male
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Metabolomics
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Drugs, Chinese Herbal/administration & dosage*
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Depression/blood*
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Rats, Sprague-Dawley
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Sleep Deprivation/complications*
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Ziziphus/chemistry*
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Antidepressive Agents/administration & dosage*
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Behavior, Animal/drug effects*
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Humans
9.An adaptive multi-label classification model for diabetic retinopathy lesion recognition.
Xina LIU ; Jun XIE ; Junjun HOU ; Xinying XU ; Yan GUO
Journal of Biomedical Engineering 2025;42(5):892-900
Diabetic retinopathy is a common blinding complication in diabetic patients. Compared with conventional fundus color photography, fundus fluorescein angiography can dynamically display retinal vessel permeability changes, offering unique advantages in detecting early small lesions such as microaneurysms. However, existing intelligent diagnostic research on diabetic retinopathy images primarily focuses on fundus color photography, with relatively insufficient research on complex lesion recognition in fluorescein angiography images. This study proposed an adaptive multi-label classification model (D-LAM) to improve the recognition accuracy of small lesions by constructing a category-adaptive mapping module, a label-specific decoding module, and an innovative loss function. Experimental results on a self-built dataset demonstrated that the model achieved a mean average precision of 96.27%, a category F1-score of 91.21%, and an overall F1-score of 94.58%, with particularly outstanding performance in recognizing small lesions such as microaneurysms (AP = 1.00), significantly outperforming existing methods. The research provides reliable technical support for clinical diagnosis of diabetic retinopathy based on fluorescein angiography.
Diabetic Retinopathy/diagnostic imaging*
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Humans
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Fluorescein Angiography
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Microaneurysm/diagnostic imaging*
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Retinal Vessels
;
Algorithms
10.Expert consensus on the diagnosis and treatment of cemental tear.
Ye LIANG ; Hongrui LIU ; Chengjia XIE ; Yang YU ; Jinlong SHAO ; Chunxu LV ; Wenyan KANG ; Fuhua YAN ; Yaping PAN ; Faming CHEN ; Yan XU ; Zuomin WANG ; Yao SUN ; Ang LI ; Lili CHEN ; Qingxian LUAN ; Chuanjiang ZHAO ; Zhengguo CAO ; Yi LIU ; Jiang SUN ; Zhongchen SONG ; Lei ZHAO ; Li LIN ; Peihui DING ; Weilian SUN ; Jun WANG ; Jiang LIN ; Guangxun ZHU ; Qi ZHANG ; Lijun LUO ; Jiayin DENG ; Yihuai PAN ; Jin ZHAO ; Aimei SONG ; Hongmei GUO ; Jin ZHANG ; Pingping CUI ; Song GE ; Rui ZHANG ; Xiuyun REN ; Shengbin HUANG ; Xi WEI ; Lihong QIU ; Jing DENG ; Keqing PAN ; Dandan MA ; Hongyu ZHAO ; Dong CHEN ; Liangjun ZHONG ; Gang DING ; Wu CHEN ; Quanchen XU ; Xiaoyu SUN ; Lingqian DU ; Ling LI ; Yijia WANG ; Xiaoyuan LI ; Qiang CHEN ; Hui WANG ; Zheng ZHANG ; Mengmeng LIU ; Chengfei ZHANG ; Xuedong ZHOU ; Shaohua GE
International Journal of Oral Science 2025;17(1):61-61
Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans
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Dental Cementum/injuries*
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Consensus
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Diagnosis, Differential
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Cone-Beam Computed Tomography
;
Tooth Fractures/therapy*


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