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.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.
3.Predictive modle for violence risk in hospitalized schizophrenia patients based on support vector machine
Huan LIU ; Peifang SHI ; Kun ZHANG ; Li KANG ; Yan ZHANG ; Long NA ; Binhong WANG ; Meiqing HE
Sichuan Mental Health 2026;39(1):27-35
BackgroundThe violent aggressive behaviors of patients with schizophrenia usually have the characteristics of suddenness, unpredictability, high severity, and great difficulty in prevention. Early identification and accurate assessment of their risk of violent aggression have significant clinical significance. ObjectiveTo construct a predictive model for the violence risk in hospitalized patients with schizophrenia, to identify the key factors influencing the occurrence of violent behavior in these patients, so as to provide references for clinical precise quantitative assessment and early intervention. MethodsA total of 200 patients with schizophrenia who were hospitalized at Taiyuan Psychiatric Hospital from March 2022 to September 2024 and met the diagnostic criteria of the International Classification of Diseases, eleventh edition (ICD-11) were collected to form the modeling cohort. They were randomly divided into a training set (n=140) and a test set (n=60) at a ratio of 7∶3. Based on the least absolute shrinkage and selection operator (LASSO) regression algorithm, the feature variables were screened and dimension-reduced. The support vector machine (SVM) from machine learning was selected for model training and prediction. The discrimination efficacy of the model was evaluated by the area under the receiver operating characteristic (ROC) curve (AUC), accuracy, precision, sensitivity, specificity, F1 value, and Brier value. ResultsLASSO regression screening identified 16 feature variables. Pearson correlation analysis revealed a positive correlation between prior violent behavior frequency and clinical psychiatric symptom scores (r=0.580, P<0.01), a positive correlation between hospitalization compliance and current disease status (r=0.550, P=0.003), and a positive correlation between educational level and family per capita monthly income (r=0.367, P<0.01). The SVM model achieved an AUC of 0.853, accuracy of 0.800, precision of 0.810, sensitivity of 0.895, specificity of 0.636, F1 value of 0.850, and Brier value of 0.168. ConclusionThe SVM model has a relatively high level of applicability and overall predictive performance in the assessment of violent risk in schizophrenia patients, which is helpful for the early identification of violent risks in such patients. [Funded by Specialized Research Project for Enhancing the Competence of Health Professionals in Taiyuan City (number, Y2023006)]
4.Application of Recombinant Collagen in Biomedicine
Huan HU ; Hong ZHANG ; Jian WANG ; Li-Wen WANG ; Qian LIU ; Ning-Wen CHENG ; Xin-Yue ZHANG ; Yun-Lan LI
Progress in Biochemistry and Biophysics 2025;52(2):395-416
Collagen is a major structural protein in the matrix of animal cells and the most widely distributed and abundant functional protein in mammals. Collagen’s good biocompatibility, biodegradability and biological activity make it a very valuable biomaterial. According to the source of collagen, it can be broadly categorized into two types: one is animal collagen; the other is recombinant collagen. Animal collagen is mainly extracted and purified from animal connective tissues by chemical methods, such as acid, alkali and enzyme methods, etc. Recombinant collagen refers to collagen produced by gene splicing technology, where the amino acid sequence is first designed and improved according to one’s own needs, and the gene sequence of improved recombinant collagen is highly consistent with that of human beings, and then the designed gene sequence is cloned into the appropriate vector, and then transferred to the appropriate expression vector. The designed gene sequence is cloned into a suitable vector, and then transferred to a suitable expression system for full expression, and finally the target protein is obtained by extraction and purification technology. Recombinant collagen has excellent histocompatibility and water solubility, can be directly absorbed by the human body and participate in the construction of collagen, remodeling of the extracellular matrix, cell growth, wound healing and site filling, etc., which has demonstrated significant effects, and has become the focus of the development of modern biomedical materials. This paper firstly elaborates the structure, type, and tissue distribution of human collagen, as well as the associated genetic diseases of different types of collagen, then introduces the specific process of producing animal source collagen and recombinant collagen, explains the advantages of recombinant collagen production method, and then introduces the various systems of expressing recombinant collagen, as well as their advantages and disadvantages, and finally briefly introduces the application of animal collagen, focusing on the use of animal collagen in the development of biopharmaceutical materials. In terms of application, it focuses on the use of animal disease models exploring the application effects of recombinant collagen in wound hemostasis, wound repair, corneal therapy, female pelvic floor dysfunction (FPFD), vaginal atrophy (VA) and vaginal dryness, thin endometritis (TE), chronic endometritis (CE), bone tissue regeneration in vivo, cardiovascular diseases, breast cancer (BC) and anti-aging. The mechanism of action of recombinant collagen in the treatment of FPFD and CE was introduced, and the clinical application and curative effect of recombinant collagen in skin burn, skin wound, dermatitis, acne and menopausal urogenital syndrome (GSM) were summarized. From the exploratory studies and clinical applications, it is evident that recombinant collagen has demonstrated surprising effects in the treatment of all types of diseases, such as reducing inflammation, promoting cell proliferation, migration and adhesion, increasing collagen deposition, and remodeling the extracellular matrix. At the end of the review, the challenges faced by recombinant collagen are summarized: to develop new recombinant collagen types and dosage forms, to explore the mechanism of action of recombinant collagen, and to provide an outlook for the future development and application of recombinant collagen.
5.Effects and mechanism of astilbin on renal injury in chronic renal failure rats
Xiaowei GAO ; Yingying LIU ; Cong HAN ; Shifei HAO
China Pharmacy 2025;36(4):434-439
OBJECTIVE To investigate the effect and potential mechanism of astilbin (AST) on renal injury in chronic renal failure (CRF) rats based on the Jagged-1/Notch-1 signaling pathway. METHODS CRF model was constructed by 5/6 nephrotomy. The successfully modeled rats were randomly separated into Model group, AST low-dose group (AST-L group), AST high-dose group (AST-H group), high-dose of AST+Notch pathway activator (Jagged-1/FC chimerin, referred to as “JFC”) group (AST-H+ JFC group), and control group (CK group) for open surgery without resection was set up, with 10 rats in each group. The rats in the AST-L group and AST-H group were given 40 and 80 mg/kg AST, respectively; the rats in the AST-H+JFC group were simultaneously given 80 mg/kg AST and 0.5 mg/kg JFC, and the rats in the CK group and Model group were given an equal volume of normal saline, once a day, for 4 weeks. After the last administration, the serum levels of blood urea nitrogen (BUN), serum creatinine (SCr), and the level of 24 h urinary protein (UP) in urine, as well as the serum levels of lactate dehydrogenase (LDH), tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6) and IL-10 in each group were detected. The morphology and fibrosis of renal tissue were observed. The content of adenosine triphosphate (ATP) and the activities of sodium-potassium ATPase and calcium-magnesium ATPase in mitochondria of renal tissue were detected. The protein expressions of transforming growth factor- β (TGF- β), hypoxia-inducible factor-1α (HIF-1α), α-smooth muscle actin (α-SMA), cleaved-caspase-3, Jagged-1 and Notch-1 in renal tissue were also observed. RESULTS Compared with CK group, the renal tissue of rats in the Model group was obviously damaged, renal tissue fibrosis was severe; the serum BUN and SCr levels, urine UP level, serum 4 LDH, TNF-α and IL-6 levels, as well as the protein expressions of TGF-β, HIF-1α, α-SMA, cleaved-caspase-3, Jagged-1 and Notch-1 in renal tissue were significantly increased, while the serum IL-10 level, ATP content and activities of sodium-potassium ATPase and calcium-magnesium ATPase in mitochondria of renal tissue were significantly decreased (P<0.05). Compared with Model group, the renal tissue damage and fibrosis in the AST groups were reduced, the serum BUN and SCr levels, urine UP level, serum LDH, TNF-α and IL-6 levels, and the protein expressions of TGF-β, HIF-1α, α-SMA, cleaved-caspase-3, Jagged-1 and Notch-1 were significantly decreased, while the serum IL-10 level, ATP content and the activities of sodium-potassium ATPase and calcium-magnesium ATPase in mitochondria were significantly increased; the changes in the aforementioned indicators in AST- H group were more significant than those in the AST-L group(P<0.05). JFC could significantly reverse the improvement effect of high dose of AST on renal injury in CRF rats (P<0.05). CONCLUSIONS AST can reduce inflammation in CRF rats, alleviate renal tissue damage and fibrosis, and improve renal mitochondrial capacity metabolism, possibly by inhibiting the Jagged-1/Notch-1 signaling pathway.
6.Bioinformatic and Mendelian Randomization Analyses of Correlation Between Differentially Expressed Genes and Prognosis of Oral Squamous Cell Carcinoma Patients
Maolin LIU ; Xiaona SONG ; Yaqi LIU ; Shuxuan SHI ; Guohua SONG
Cancer Research on Prevention and Treatment 2025;52(2):133-141
Objective Differentially expressed genes in oral squamous cell carcinoma (OSCC) were subjected to bioinformatic and Mendelian randomization analyses to elucidate their prognostic significance in OSCC. Methods The TCGA database and dataset GSE138206 were used to screen the common differential genes of OSCC, and their relationship was analyzed by using Mendelian randomization. The prognostic value of differential genes was further analyzed by Cox risk regression. The biological function of genes with high prognostic value was further evaluated by single gene differential analysis. Results A total of 147 common differential genes were screened from the two databases. Results of two-sample Mendelian randomization showed that GREM2 was associated with the increased risk of OSCC. In addition, SH3BGRL2 was associated with a decreased risk of OSCC, and DKK1, CCL11, and HOXC6 were considered as independent prognostic markers of OSCC. The predicted results of DKK1 were consistent with the actual results. KEGG enrichment analysis indicated the potential involvement of DKK1 in arachidonic acid and linoleic acid metabolism. Furthermore, DKK1 showed positive correlations with Tgd and Th2 cells, while displaying negative associations with PDC, Cytotoxic cells, Mast cells, CD8 T cells, TFH cells, B cells, T cells, and Th17 cells. Conclusion GREM2 is associated with an increased risk of OSCC. DKK1 is highly expressed in OSCC and associated with poor prognosis, which may be involved in regulating the metabolism of arachidonic acid and linoleic acid and immune cell invasion in OSCC.
7.Distribution pattern of traditional Chinese medicine syndromes and analysis of influencing factors in pancreatic cancer
Zhiyao SHI ; Shiyu WU ; Shaojian REN ; Yichan LIU ; Yijie YIN ; Yu GAO ; Xixing WANG
Journal of Clinical Hepatology 2025;41(3):528-535
ObjectiveTo investigate the influencing factors for traditional Chinese medicine (TCM) syndromes in pancreatic cancer by analyzing 608 cases, and to provide a theoretical reference for TCM syndrome differentiation and standardized treatment of pancreatic cancer. MethodsA total of 608 patients with a pathological or clinical diagnosis of pancreatic cancer who were admitted to Shanxi Institute of Traditional Chinese Medicine, The Affiliated Hospital of Shanxi University of Chinese Medicine, and Shanxi Provincial Hospital of Integrated Traditional Chinese and Western Medicine from January 2019 to December 2023 were enrolled, and TCM syndrome differentiation was performed. The chi-square test was used for comparison of categorical data between groups. The clinical data with statistical significance between groups were included in the regression analysis, and the unordered polytomous logistic regression model was used to investigate the influencing factors for the TCM syndrome of pancreatic cancer. ResultsFor the 608 patients with pancreatic cancer, common initial symptoms included abdominal pain (32.40%), abdominal distension (23.85%), fatigue (16.12%), and emaciation (10.03%), and the main clinical symptoms included poor appetite (75.97%), abdominal pain (67.27%), fatigue (61.84%), abdominal distension (57.40%), and emaciation (53.62%). There were significant differences between the patients with different TCM syndromes of pancreatic cancer in sex (χ2=62.823, P<0.001), disease duration (χ2=14.868, P=0.011), clinical stage (χ2=21.006, P<0.001), lymph node metastasis (χ2=2.205, P=0.032), surgery (χ2=38.008, P<0.001), chemotherapy (χ2=21.384, P<0.001), radiotherapy (χ2=17.510, P=0.004), and immunotherapy (χ2=18.573, P=0.002). The logistic regression analysis showed that male sex was a protective factor against Qi and blood deficiency syndrome (odds ratio [OR]=0.081, 95% confidence interval [CI]: 0.031 — 0.213, P<0.001), Qi stagnation and blood stasis syndrome (OR=0.100, 95%CI: 0.041 — 0.247, P<0.001), and syndrome of Yin deficiency with internal heat (OR=0.158, 95%CI: 0.057 — 0.444, P<0.001), while it was a risk factor for the syndrome of damp-heat accumulation (OR=2.378, 95%CI: 1.074 — 5.266, P=0.033); the course of the disease of<1 year was a protective factor against Qi and blood deficiency syndrome (OR=0.167, 95%CI: 0.073 — 0.383, P<0.001), syndrome of spleen-kidney Yang deficiency (OR=0.183, 95%CI: 0.089 — 0.378, P<0.001), and syndrome of Yin deficiency and internal heat (OR=0.164, 95%CI: 0.070 — 0.385, P<0.001); clinical stage Ⅰ/Ⅱ/Ⅲ was a risk factor for damp-heat accumulation (OR=2.793, 95%CI: 1.259 — 6.196, P=0.012) and Qi stagnation and blood stasis syndrome (OR=7.863, 95%CI: 2.808 — 22.020, P<0.001); lymph node metastasis was a risk factor for Qi and blood deficiency syndrome (OR=4.005, 95%CI: 1.477 — 10.861, P=0.006); surgical treatment was a risk factor for Qi and blood deficiency syndrome (OR=4.151, 95%CI: 1.916 — 8.995, P<0.001), syndrome of spleen-kidney yang deficiency (OR=5.352, 95%CI: 2.436 — 11.759, P<0.001), Qi stagnation and blood stasis syndrome (OR=2.334, 95%CI: 1.071 — 5.088, P=0.033), and syndrome of Yin deficiency and internal heat (OR=4.167, 95%CI: 1.789 — 9.707, P<0.001); chemotherapy was a protective factor against damp-heat accumulation (OR=0.188, 95%CI: 0.082 — 0.428, P<0.001); radiotherapy was a risk factor for damp-heat accumulation (OR=2.571, 95%CI: 1.151 — 5.746, P=0.021) and syndrome of Yin deficiency with internal heat (OR=8.384, 95%CI: 3.348 — 20.997, P<0.001); immunotherapy was a risk factor for Qi and blood deficiency syndrome (OR=2.114, 95%CI: 1.021 — 4.379, P=0.044). ConclusionSex, course of the disease, clinical stage, presence or absence of lymph node metastasis, surgery, chemotherapy, radiotherapy, and immunotherapy are the main influencing factors for the TCM syndrome of pancreatic cancer.
8.Rare giant hepatic angiomyolipoma with subcapsular rupture misdiagnosed as hepatocellular carcinoma: A case report
Zhiwei ZHANG ; Feng LIU ; Hezhao ZHANG ; Qinying WANG ; Zhiyong SHI
Journal of Clinical Hepatology 2025;41(3):536-541
Hepatic angiomyolipoma (HAML) is a rare benign mesenchymal tumor frequently observed in middle-aged women. Due to the absence of prominent symptoms in the early stage and the lack of specific imaging findings, the diagnosis of this disease can be challenging, leading to a high rate of misdiagnosis. This article reports a case of giant HAML with subcapsular rupture that was misdiagnosed as hepatocellular carcinoma and introduces the characteristics of the case and its diagnosis and treatment process, in order to provide a reference for the diagnosis and treatment of this type of disease.
9.Influencing factors for the homing ability of mesenchymal stem cells in end-stage liver disease and optimization measures
Journal of Clinical Hepatology 2025;41(3):561-567
Mesenchymal stem cells (MSCs) have emerged as a promising cellular therapy for end-stage liver disease (ESLD) due to their robust self-regenerative, paracrine, and immunomodulatory characteristics, providing new directions for the treatment of advanced liver disease. However, the clinical application of MSCs is significantly limited by the fact that only a small number of MSCs can reach the liver due to massive apoptosis or necrosis during the homing process caused by the influence of the complex microenvironment (inflammation, oxidative stress, and hypoxia) of the injured liver and the fact that a substantial proportion of MSCs become trapped in the pulmonary capillaries following intravenous administration with a lack of sufficient homing receptors or adhesion molecules. Various strategies have been developed to optimize the proliferation, migration, and homing abilities of MSCs, including preconditioning, gene modification, and nanoencapsulation technology. This article elaborates on the influencing factors for the homing ability of MSCs, the strategies to optimize their homing in ESLD, and the mechanism of the homing of MSCs, in order to improve cell transplantation efficiency, promote liver repair and regeneration, and pave the way for the application of MSCs in the treatment of ESLD.
10.Prevalence and influencing factors of work-related musculoskeletal disorders of coal miners in a coal mine group
Xiaolan ZHENG ; Liuquan JIANG ; Ying ZHAO ; Hongxia ZHAO ; Fan YANG ; Qiang LI ; Li LI ; Yingjun CHEN ; Qingsong CHEN ; Gaisheng LIU
Journal of Environmental and Occupational Medicine 2025;42(3):278-285
Background The positive rate of work-related musculoskeletal disorders (WMSDs) among coal mine workers remains high, which seriously affects the quality of life of the workers. Objective To estimate the prevalence of WMSDs among coal miners in Shanxi Province and analyze their influencing factors. Methods From May to December 2023,


Result Analysis
Print
Save
E-mail