Objective:Through the analysis of the ancient books for pectoral stuffiness pain, to explore the relevant Chinese herbal medicine prescriptions, the main syndrome factors corresponding to the prescriptions and the content of medication nursing.Methods:We used the database of Chinese Medical Code (5th Edition) as the data source, and established a database, extracted relevant contents. In the end we carried out statistical analysis and discussion.Results:Four main syndrome factors were extracted from the 102 kinds of prescriptions, which were cold coagulation, qi stagnation, blood stasis and turbid phlegm. The corresponding medication nursing measures mainly contained five aspects, including the temperature, time, frequency, solution of taking medicine and medication taboo. Among them, the temperature of taking medicine was mainly warm and hot; the time of taking medicine was mainly before eating, after eating, empty stomach, before breakfast, at noon, Before sleep and regardless of the time; the frequency of taking medicine was mainly two times a day, three times a day, three times a day and once a night; the solution of taking medicine was mainly wine, porridge, ginger decoction, orange peel decoction, Chen-pi decoction, vinegar decoction and so on; the medication taboo was mainly onions, pork, cold, cabbage, mutton and so on.Conclusion:The study of medication nursing for pectoral stuffiness pain based on the theory of syndrome factors is beneficial to promote the theoretical and clinical research for the disease. It can promote the standardization of medication nursing, improve the nursing staff's ability of syndrome differentiation nursing, and provide a reference for clinical medication nursing of Traditional Chinese Medicine.

Objective:To understand the research status and research hotspots of syndrome differentiation nursing of pectoral stuffiness pain(coronary disease), analyze its existing problems, and provide reference for the development of related research in the future.Methods:The China National Knowledge Infrastructure(CNKI) database was used as a data source to search for relevant literatures. We analyzed the authors, institutions and keywords with CiteSpace 5.3.R8 software, and drew the distribution map of the number of literature published by the related authors and institutions with GraphPad Prism 6.07 software.Results:A total of 356 articles were included in the study. The research power in the field of syndrome differentiation nursing of pectoral stuffiness pain(coronary disease) was mainly concentrated in the Affiliated Hospital of Liaoning University of Traditional Chinese Medicine. The researchers were mainly Lin Xiaoli and Yang Yuzhu. After clustering 58 keywords, 6 research hotspots of syndrome differentiation nursing for pectoral stuffiness pain(coronary disease) were discovered: importance of emotional nursing; exploration of different nursing forms; study of prognostic significance; embodiment of clinical application value; syndrome differentiation nursing of integrating Chinese and Western medicine; application of characteristic nursing technology of Traditional Chinese Medicine.Conclusions:Among the six research hotspots, the emotional nursing, syndrome differentiation nursing of integrating Chinese and Western medicine and application of characteristic nursing technology of Traditional Chinese Medicine are the research hotspots in recent years(2011-2018). In addition, in order to promote the progress and development of this field, it is necessary to strengthen cooperation and exchanges between authors and institutions, and conduct more in-depth research on the basis of existing research, constantly explore new research directions, and further improve the system of syndrome differentiation nursing.

Syndrome is a pathological generalization in the process of disease occurrence and development and any syndrome is composed of several "syndrome factors". This study systematically expounds the background, basic connotation, significance and current application research status of the "syndrome factors" theory of traditional Chinese medicine, and it emphasizes the important effect of the theory on the process of syndrome differentiation and treatment of traditional Chinese medicine. According to the guiding ideology of syndrome differentiation theory system of "syndrome factors" of traditional Chinese medicine, this study introduces the concept of "syndrome factors" into traditional Chinese medicine nursing, defines the concept of "nursing measures factors", regards it as the nursing unit for the pathogenesis unit, reflects the nursing methods and principles for the syndrome pathogenesis unit and further clarifies the corresponding relationship between syndrome and nursing. The study attempts to explore a nursing system based on the "nursing measures factors" so as to improve the ability of syndrome differentiation and nursing of nursing staff and promote the standardization of traditional Chinese medicine nursing.

Objective:To screen the differentially expressed exosomal miRNAs derived from liver cancer stem cells (LCSCs) and its effect on the malignant biological characteristics of liver cancer cells.Methods:miRNA expression profile chip was used to analyze the differentially expressed exosomal miRNA derived from LCSCs. The effects of miRNA on malignant phenotypes of LCSCs were identified. The cells were further treated with doxorubicin at different concentrations (0, 150, 300 μmol/L), and the expression level of miR-196a was detected by quantitative real-time PCR (qRT-PCR). The apoptosis of liver cancer cells cultured by exosomes derived from LCSCs (Exo-NC group) and exosomes derived from miR-196a inhibited LCSCs (Exo-Inhibitor group) and the activity of caspase3/7 under the action of exosomes from LCSCs were detected. Nude mice were randomly divided into Do-PBS group, Do-Exo-Inhibitor group and Do-Exo-NC group using random number table method, with 5 mice in each group, and the effect of miR-196a on nude mice xenograft tumor model with liver cancer cells was analyzed.Results:In this study, exosomes were isolated and purified from CD133 + Huh7 stem cell culture supernatant. miR-7162-3p, miR-1910-5, miR-3613-3p, miR-196a and miR-155-5p were up-regulated, while miR-1246 and miR-3613-5p were down-regulated. miR-7162-3p, miR-196a and miR-155-5p in exosomes had important effects on the self-renewal ability of LCSCs. miR-1910-5p, miR-196a and miR-155-5p had important effects on the invasion ability of liver cancer stem cells, among which miR-196a had the most significant inhibitory effect. Treatment for 24 h, the miR-196a expression level of the 0, 150 and 300 μmol/L doxorubicin was 0.96±0.05, 1.23±0.05 and 2.33±0.03 respectively, with a statistically significant difference ( F=996.90, P<0.001). Treatment for 48 h, the miR-196a expression level of the 0, 150 and 300 μmol/L doxorubicin were 1.02±0.07, 2.35±0.05 and 2.89±0.55 respectively, with a statistically significant difference ( F=303.00, P<0.001). When the concentration of doxorubicin was 0 and 300 μmol/L, the apoptosis rates of the Exo-NC group were 9.37%±0.19% and 11.64%±0.27%, and those of the Exo-Inhibitor group were were 18.80%±1.91% and 22.79%±1.57%, with statistically significant differences ( t=4.41, P=0.048; t=4.96, P=0.038). When doxorubicin was not used, the ratios of caspase3/7 in the Exo-NC group at 24 h and 48 h were 0.94±0.08 and 0.97±0.09, and those in the Exo-Inhibitor group were 1.56±0.01 and 1.58±0.01, with statistically significant differences ( t=11.41, P=0.008; t=6.07, P=0.026). Under 300 μmol/L doxorubicin, the ratios of caspase3/7 in the Exo-NC group at 24 h and 48 h were 0.95±0.07 and 1.36±0.08, and those in the Exo-Inhibitor group were 2.84±0.08 and 3.20±0.14, with statistically significant differences ( t=24.20, P=0.002; t=15.78, P=0.004). The results of xenograft tumor in nude mice showed that the tumor volumes of Do-PBS, Do-Exo-Inhibitor and Do-Exo-NC groups increased successively, which were (1 051.86±89.90) mm 3, (1 310.91±86.66) mm 3 and (2 185.14± 352.34) mm 3 respectively, with a statistically significant difference ( F=30.28, P<0.001). The weights of the transplanted tumors in the 3 groups increased successively, which were (0.36±0.10) g, (0.39±0.12) g and (0.76±0.16) g respectively, with a statistically significant difference ( F=11.81, P=0.002). The expression of miR-196a in tumors was significantly decreased after miR-196a inhibitor transfection. The expression levels of the 3 groups were 1.05±0.16, 0.38±0.08 and 2.17±0.26, with a statistically significant difference ( F=48.93, P<0.001). Conclusion:The exosomal secreted by LCSCs can enhance the resistance of liver cancer cells to doxorubicin by miR-196a.

Objective:To investigate the changes of biventricular myocardial strain in amateur marathon runners using the cardiac MR feature tracking (CMR-FT) technique.Methods:Forty-one amateur marathon runners (marathon exercise group) and 20 age-matched healthy volunteers (control group) were recruited according to the inclusion criteria. After the kinematic parameters were obtained, all subjects underwent a CMR cine sequence imaging. The CMR images were post-processed using CVI42 software. The biventricular function parameters including end-diastole/end-systolic volume (EDV/ESV), end-diastole/end-systolic volume index (EDVI/ESVI), end-diastole/end-systolic myocardial mass (MMD/MMS), end-diastole/end-systolic myocardial mass index (MMDI/MMSI), stroke volume and index (SV/SVI), cardiac index (CI) and ejection fraction (EF), as well as the biventricular myocardial strain parameters including global radial/circumferential/longitudinal strain (GRS/GCS/GLS), global radial/circumferential/longitudinal diastolic strain rate (GRSDr/GCSDr/GLSDr) were measured and calculated. Demographic data, kinematic index, cardiac function and myocardial strain parameters were compared between the two groups.Results:Compared with the control group, the exercise group showed significant decrease heart rates ( P<0.001). It was found that the left ventricular function parameters (ESVI, MMD, MMDI, MMS, MMSI) and the right ventricular function parameters (EDVI, ESVI) of the exercise group were significantly higher than those of control group (all P<0.05); while the left ventricular strain parameters (GCS, GRSDr, GCSDr, GLSDr) and the right ventricular strain parameters (GRSDr, GLSDr) were of the exercise group were significantly lower than those of control group (all P<0.05). Conclusions:Amateur marathon runners have lower myocardial strain capacity and higher left ventricular myocardial mass. The ventricular diastolic strain rate may sensitively reflect the compensatory changes of ventricular function with the normal ejection fraction.

Long-chain acyl-coenzyme A (CoA) synthase 4 (ACSL4) is an enzyme that esterifies CoA into specific polyunsaturated fatty acids, such as arachidonic acid and adrenic acid. Based on accumulated evidence, the ACSL4-catalyzed biosynthesis of arachidonoyl-CoA contributes to the execution of ferroptosis by triggering phospholipid peroxidation. Ferroptosis is a type of programmed cell death caused by iron-dependent peroxidation of lipids; ACSL4 and glutathione peroxidase 4 positively and negatively regulate ferroptosis, respectively. In addition, ACSL4 is an essential regulator of fatty acid (FA) metabolism. ACSL4 remodels the phospholipid composition of cell membranes, regulates steroidogenesis, and balances eicosanoid biosynthesis. In addition, ACSL4-mediated metabolic reprogramming and antitumor immunity have attracted much attention in cancer biology. Because it facilitates the cross-talk between ferroptosis and FA metabolism, ACSL4 is also a research hotspot in metabolic diseases and ischemia/reperfusion injuries. In this review, we focus on the structure, biological function, and unique role of ASCL4 in various human diseases. Finally, we propose that ACSL4 might be a potential therapeutic target.
Humans ; Ferroptosis ; Apoptosis ; Phospholipids/metabolism* ; Nitric Oxide Synthase

Objective To evaluate the application of three deep learning algorithms in automatic segmentation of clinical target volumes (CTVs) in high-dose-rate brachytherapy after surgery for endometrial carcinoma. Methods A dataset comprising computed tomography scans from 306 post-surgery patients with endometrial carcinoma was divided into three subsets: 246 cases for training, 30 cases for validation, and 30 cases for testing. Three deep convolutional neural network models, 3D U-Net, 3D Res U-Net, and V-Net, were compared for CTV segmentation. Several commonly used quantitative metrics were employed, i.e., Dice similarity coefficient, Hausdorff distance, 95th percentile of Hausdorff distance, and Intersection over Union. Results During the testing phase, CTV segmentation with 3D U-Net, 3D Res U-Net, and V-Net showed a mean Dice similarity coefficient of 0.90 ± 0.07, 0.95 ± 0.06, and 0.95 ± 0.06, a mean Hausdorff distance of 2.51 ± 1.70, 0.96 ± 1.01, and 0.98 ± 0.95 mm, a mean 95th percentile of Hausdorff distance of 1.33 ± 1.02, 0.65 ± 0.91, and 0.40 ± 0.72 mm, and a mean Intersection over Union of 0.85 ± 0.11, 0.91 ± 0.09, and 0.92 ± 0.09, respectively. Segmentation based on V-Net was similarly to that performed by experienced radiation oncologists. The CTV segmentation time was < 3.2 s, which could save the work time of clinicians. Conclusion V-Net is better than other models in CTV segmentation as indicated by quantitative metrics and clinician assessment. Additionally, the method is highly consistent with the ground truth, reducing inter-doctor variability and treatment time.