Background and purpose:Breast cancer is a major global public health problem.Bone is the most common site of distant metastasis of breast cancer,accounting for about 70%of all metastatic cases.Bone metastasis of breast cancer can cause a series of complications,including severe pain,pathological fracture,hypercalcemia,spinal cord compression,etc.,which bring great inconvenience to patients'physical activities and affect their quality of life.Metastatic recurrence is the leading cause of death in breast cancer patients.Therefore,there is an urgent need to build a diagnostic model of bone metastasis in breast cancer to identify patients with a high risk of bone metastasis.The aim of this study was to develop a predictive model based on machine learning to predict the probability of breast cancer developing bone metastasis.Methods:Data of breast cancer patients diagnosed between 2010 and 2015 were extracted from The Surveillance,Epidemiology,and End Results(SEER)database.The variables were screened by least absolute shrinkage and selection operator(LASSO)regression,univariate and multivariate logistic regression analysis,and statistically significant risk factors were included to build a prediction model.In this study,nine machine learning algorithms,including decision tree,elastic network,K-nearest neighbor,lightweight gradient elevator,logistic regression,neural network,random forest,support vector machine and limit gradient lifting,were used to adjust the model hyperparameters through random search and 5x cross-validation to build a breast cancer bone metastasis prediction model.The area under the receiver operating characteristic(ROC)curve,calibration curve and decision curve were used to evaluate the model,the optimal model was obtained,and the importance of variables was analyzed based on the optimal model.Finally,a network calculator for predicting the risk of bone metastasis of breast cancer was established using the optimal model.Results:The study included 10 106 patients with breast cancer,7 073 patients in the training set,and 3 033 patients in the validation set.We found that 4 494(63.5%)patients in the training set and 1 927(63.5%)patients in the validation set developed bone metastases,respectively.Race,pathologic grade,estrogen receptor(ER)status,progesterone receptor(PR)status,human epidermal growth factor receptor 2(HER2)status,N stage,lung metastasis,radiotherapy,chemotherapy and surgery were independent predictors of bone metastasis.The training set and verification set were used to verify the model,and the limit gradient lifting algorithm was superior to other machine learning algorithms by integrating the evaluation indexes such as the area under the ROC curve,calibration curve and decision curve.Finally,we used limit gradient algorithm to build network calculator for prediction of breast cancer bone metastases(https://bcbm.shinyapps.io/DynNomapp/).Conclusion:This study developed a predictive model based on machine learning to predict the probability of bone metastases in breast cancer patients,hoping to help clinicians make more rational treatment decisions.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective To explore the application effect of the Mini-CEX evaluation model based on the OBE concept in the clinical Practice teaching of neurology.Methods We Selected 100 students who will Practice in the Department of Neurology from 2022 to 2023 as the research objects,and divided them into the experimental group(n=50)and the control group(n=50).Under the guidance of the OBE concept,the experimental group was guided by learning outcomes,refined the teaching objectives,and applied the Mini-CEX evaluation mode for evaluation and feedback.In contrast,the control group adopted the traditional teaching mode.Combined with the observation data,we analyzed and compared the data of various indicators of the two groups of students at the beginning and end of the internship.Results At the end of the internship,the scores of clinical consultation,Physical examination,humanistic medicine,clinical diagnosis,health consultation,organizational effect,and overall evaluation of the experimental group were significantly improved and were higher than those of the control group.After the Practice,in terms of skill test scores,the experimental group scored higher than the control group,the difference was statistically significant(P<0.05),and the experimental group also scored higher in satisfaction evaluation than the control group.Conclusion The Mini-CEX evaluation teaching model based on the concept of OBE is applied to the clinical practice teaching of the neurology department,which can enhance the training effect of students'clinical practice skills.

Tumor is one of the major diseases that endanger people’s health. At present, the treatments used for tumor include surgery, chemotherapy, radiotherapy and so on. Nonetheless, the traditional treatments have some disadvantages, such as insufficient treatment effect, liable to cause multidrug resistance, toxicity and side effect. Further research and exploration of tumor treatment schemes are still necessary. As the energy converter of cells, mitochondria are currently considered to be one of the most important targets for the design of new drugs for tumor, cardiovascular and neurological diseases. Nano-drug delivery carriers have the characteristics of being easily modified with active targeting groups, and it can achieve accurate targeted drug delivery to cells and organelles. This paper reviews the application of mitochondrial targeted nanoparticles in tumor diagnosis and treatment from the aspects of inhibiting tumor cell proliferation, promoting tumor cell apoptosis, inhibiting tumor recurrence and metastasis, and inducing cell autophagy.

Objective: To explore the application and efficacy of paclitaxel liposome in the treatment of advanced breast cancer among Chinese population in the real world. Methods: The clinical characteristics of patients with advanced breast cancer who received paclitaxel liposome as salvage treatment from January 1, 2016 to August 31, 2019 in 11 hospitals were collected and retrospectively analyzed. The primary outcome was progression free survival (PFS), and the secondary outcome included objective response rate (ORR) and safety. The survival curve was drawn by Kaplan-Meier analysis and the Cox regression model were used for the multivariate analysis. Results: Among 647 patients with advanced breast cancer who received paclitaxel liposome, the first-line treatment accounted for 43.3% (280/647), the second-line treatment accounted for 27.7% (179/647), and the third-line and above treatment accounted for 29.1% (188/647). The median dose of first-line and second-line treatment was 260 mg per cycle, and 240 mg in third line and above treatment. The median period of paclitaxel liposome alone and combined chemotherapy or targeted therapy is 4 cycles and 6 cycles, respectively. In the whole group, 167 patients (25.8%) were treated with paclitaxel liposome combined with capecitabine±trastuzumab (TX±H), 123 patients (19.0%) were treated with paclitaxel liposome alone (T), and 119 patients (18.4%) were treated with paclitaxel liposome combined with platinum ± trastuzumab (TP±H), 108 patients (16.7%) were treated with paclitaxel liposome combined with trastuzumab ± pertuzumab (TH±P). The median PFS of first-line and second-line patients (5.5 and 5.5 months, respectively) were longer than that of patients treated with third line and above (4.9 months, P<0.05); The ORR of the first line, second line, third line and above patients were 46.7%, 36.8% and 28.2%, respectively. Multivariate analysis showed that event-free survival (EFS) and the number of treatment lines were independent prognostic factors for PFS. The common adverse events were myelosuppression, gastrointestinal reactions, hand foot syndrome and abnormal liver function. Conclusion: Paclitaxel liposomes is widely used and has promising efficacy in multi-subtype advanced breast cancer.
Humans ; Female ; Breast Neoplasms/chemically induced* ; Paclitaxel/adverse effects* ; Liposomes/therapeutic use* ; Retrospective Studies ; Treatment Outcome ; Trastuzumab/therapeutic use* ; Capecitabine/therapeutic use* ; Antineoplastic Combined Chemotherapy Protocols/adverse effects*

Objective: To explore the relationship between nutrient-related dietary pattern and mild cognitive impairment (MCI) in middle-aged and elderly people. Methods: A total of 6 444 middle-aged and elderly people aged ≥55 years were selected in 2018 China Health and Nutrition Survey. MCI was evaluated by Mini-Mental State Examination, and the intakes of various foods were obtained by consecutive 3-day 24-hour dietary survey and weighing method. The intakes of various nutrients and total dietary energy were calculated based on the food composition table. Demographic and social information, lifestyle and health status of the respondents were obtained through questionnaire survey and physical measurements. In this study, vitamin C, vitamin E, zinc, iron, copper and selenium were selected as dependent variables. Nutrient-related dietary patterns were extracted by reduced rank regression method, and the relationship between dietary patterns and MCI was analyzed by multivariate logistic regression model. Results: Six dietary patterns were extracted in this study, and dietary pattern 1 with the highest explanatory degree was selected for subsequent analysis. Dietary pattern 1 was characterized by higher intakes of legume products, vegetables, fruits, nuts, pork, aquatic products and plant oil. Multivariate logistic regression analysis showed that the risk of MCI was lower in Q₄ dietary score group than in Q₁ dietary score group (OR=0.69, 95%CI: 0.49-0.98) in the 55-64 age group. In people with sleep duration of 8 hours per day, the risk of MCI was reduced in Q₂, Q₃ and Q₄ dietary score groups compared with the Q₁ dietary score group, with OR values of 0.68 (95%CI: 0.51-0.92), 0.67 (95%CI: 0.49-0.92) and 0.65 (95%CI: 0.45-0.92), respectively. Interaction analysis showed that the risk for MCI increased in those aged 65-74 years and ≥75 years compared with those aged 55-64 years in Q₁ dietary score group. However, the risk for MCI decreased in both age groups as dietary pattern scores increased. Compared with those with sleep duration less or more than 8 hours per day in Q₁ dietary score group, those with sleep duration of 8 hours per day in Q₂ and Q₃ dietary score groups had a reduced risk for MCI. Conclusion: Dietary patterns with higher intakes of legume products, vegetables, fruits, nuts, pork, aquatic products, and plant oil are negatively associated with MCI in people aged 55-64 years and those who slept 8 hours per day, and may reduce the risk of MCI with aging.
Aged ; Middle Aged ; Humans ; Feeding Behavior/psychology* ; Diet ; Cognitive Dysfunction/epidemiology* ; Nutrients ; Vegetables ; China/epidemiology*

The Baimai Ointment with the effect of relaxing sinew and activating collaterals demonstrates a definite effect on Baimai disease with pain, spasm, stiffness and other symptoms, while the pharmacodynamic characteristics and mechanism of this agent remain unclear. In this study, a rat model of chronic compression of L4 dorsal root ganglion(CCD) was established by lumbar disc herniation, and the efficacy and mechanism of Baimai Ointment in the treatment of CCD were preliminarily explored by behavioral tests, side effect evaluation, network analysis, antagonist and molecular biology verification. The pharmacodynamic experiment indicated that Baimai Ointment significantly improved the pain thresholds(mechanical pain, thermal pain, and cold pain) and gait behavior of CCD model rats without causing tolerance or obvious toxic and side effects. Baimai Ointment inhibited the second-phase nociceptive response of mice in the formalin test, increased the hot plate threshold of normal mice, and down-regulated the expression of inflammatory cytokines in the spinal cord. Network analysis showed that Baimai Ointment had synergistic effect in the treatment of CCD and was related to descending inhibition/facilitation system and neuroinflammation. Furthermore, behavioral tests, Western blot, and immunofluorescence assay revealed that the pain-relieving effect of Baimai Ointment on CCD may be related to the regulation of the interaction between neuroactive ligand and receptors(neuroligands) such as CHRNA7, ADRA2A, and ADRB2, and the down-regulation of the expression of NOS2/pERK/PI3K, the core regulatory element of HIF-1 signaling pathway in spinal microglia. The findings preliminarily reveal the mechanism of relaxing sinew and activating collaterals of Baimai Ointment in the treatment of Baimai disease, providing a reference for the rational drug use and further research of this agent.
Rats ; Mice ; Animals ; Chronic Pain/metabolism* ; Rats, Sprague-Dawley ; Ganglia, Spinal/metabolism* ; Ligands ; Signal Transduction ; Hyperalgesia/metabolism* ; Drugs, Chinese Herbal

Objective: This study aimed to analyze the temporal trends and characteristics associated with waist circumference (WC) among elderly Chinese people. Methods: We used data from 3,096 adults ≥ 65 years who participated in the China Health and Nutrition Survey (CHNS), an ongoing cohort study, between 1993 and 2015. We used longitudinal quantile regression models to explore the temporal trends and characteristics associated with WC. Results: WC increased gradually among the elderly Chinese population during the survey. The WC curves shifted to the right with wider distributions and lower peaks in men and women. All WC percentile curves shifted upward with similar growth rates in the 25th, 50th, and 75th percentiles. The WC means increased from 78 cm to 86 cm during the 22 years of our study. WC significantly increased with age and body mass index and decreased with physical activity (PA). These associations were stronger in the higher percentiles than in the lower percentiles. Conclusions WC is rising among Chinese adults ≥ 65 years. Factors affecting WC in elderly people may have different effects on different percentiles of the WC distribution, and PA was the most important protective factor in the higher percentiles of the WC distribution. Thus, different interventional strategies are needed.
Aged ; Body Mass Index ; China/epidemiology* ; Cohort Studies ; Female ; Humans ; Male ; Nutrition Surveys ; Waist Circumference

ObjectiveProteoglycan TPG-1 isolated from Trametes robiniophila（Huaier） has proved to have anti-hepatoma activity， and this paper aims to explore the molecular mechanism. MethodHuman hepatoma SK-HEP-1 cells were treated with TPG-1 （0， 0.05， 0.1， 0.25， 0.5， 1 g·L^-1）. Then cell survival was detected by methyl thiazolyl tetrazolium （MTT） and apoptosis by flow cytometry. In addition， expression of genes in SK-HEP-1 cells treated with or without TPG-1 was examined by DNA microarray to preliminarily explore the anti-hepatoma molecular mechanism of TPG-1. ResultTPG-1 inhibited the proliferation of SK-HEP-1 cells as compared with the blank group （P<0.01）. After treatment with 1 g·L^-1 TPG-1 for 48 h， the apoptosis rate of SK-HEP-1 cells increased （P<0.01）， and TPG-1 promoted the cleavage of cysteinyl aspartate specific proteinase （Caspase）-3 and Caspase-7， the key mediators of apoptosis （P<0.01）. Additionally， TPG-1 （1 g·L^-1） suppressed the migration of SK-HEP-1 cells （P<0.05）. A total of 971 differentially expressed genes （DEGs） were identified in SK-HEP-1 cells after treatment with TPG-1， with 486 up-regulated and 485 down-regulated. These DEGs were mainly involved in the Gene Ontology （GO） terms of interleukin-6 （IL-6） biosynthesis， antigen processing and presentation， superoxide dismutase activity， positive regulation of mitogen-activated protein kinase kinase kinase （MAPKKK） cascade， nature killer （NK） cell chemotaxis， and chemokine biosynthesis， and the Kyoto Encyclopedia of Genes and Genomes （KEGG） pathways of nucleotide-binding oligomerization domain （NOD）-like receptor signaling pathway， apoptosis， Toll-like receptor signaling pathway， retinoic acid-inducible gene-Ⅰ （RIG-Ⅰ）-like receptor signaling pathway， T-cell receptor signaling pathway， and chemokine signaling pathway. Western blot results showed that TPG-1 （1 g·L^-1） activated mitogen-activated protein kinase （MAPK） signaling pathway in SK-HEP-1 cells （P<0.01）. ConclusionProteoglycan TPG-1 inhibited the proliferation and migration， and induced apoptosis of human hepatoma SK-HEP-1 cells. Up-regulation of MAPK signaling pathway may be responsible for the growth inhibition of human hepatoma SK-HEP-1 cells by TPG-1.

ObjectiveTo investigate effect of aqueous extract of Trametes robiniophila （TRM，Huaier） on autophagy of human prostate cancer VCaP cells and Lamin B₁ expression， so as to uncover its role in the proliferation of VCaP cells. MethodThe inhibitory effect of 0， 2， 4， 6， 8， 10 g·L^-1 TRM aqueous extract on the proliferation of human prostate cancer VCaP cells at different time points were determined by cell counting kit-8 （CCK-8） assay. Acridine orange staining was conducted for analyzing the effect of TRM aqueous extract on the formation of autolysosomes in VCaP cells. After medication， the expression of microtubule-associated protein Ⅰ light chain 3 （LC3）， autophagy-related protein 3 （Atg3）， autophagy-related protein 5 （Atg5）， and autophagy-related protein 7 （Atg7） in VCaP cells were detected by Western blot. The effect of TRM aqueous extract alone and its combination with autophagy inhibitor bafilomycin A₁ on the proliferation of VCaP cells were assayed by CCK-8 assay. RNA interference technology was used to explore the role of Lamin B₁ in anti-proliferation of VCaP cells by TRM. ResultCompared with the blank group， TRM aqueous extract inhibited the proliferation of human prostate cancer VCaP cells in a time- and concentration-dependent manner （P<0.01）. Acridine orange staining showed that TRM aqueous extract promoted the formation of autolysosomes in VCaP cells. As revealed by Western blotting， TRM aqueous extract up-regulated the expression levels of LC3-Ⅱ， Atg3， Atg5， and Atg7 in contrast to those in the blank group （P<0.05）. All these indicated that TRM aqueous extract induced the autophagy of VCaP cells. In addition， autophagy inhibition impaired the sensitivity of VCaP cells to TRM aqueous extract （P<0.05）. The comparison with the blank group showed that TRM aqueous extract inhibited Lamin B₁ protein expression in VCaP cells （P<0.01）， which in turns weakened the sensitivity of VCaP cells to TRM aqueous extract. ConclusionTRM aqueous extract inhibited the proliferation of human prostate cancer VCaP cells possibly by inducing autography and down-regulating Lamin B₁ expression. This study has provided a theoretical basis for the clinical application of TRM.