Objective To investigate the level of uncertainty of illness and social support state in patients with prediabetes,and to discuss the correlation between the two.Methods 243 cases with prediabetes were analyzed by Uncertainty in Illness Scale and Social Support Rating Scale.Results There was a middle uncertainty in the elderly patients with prediabetes.The objective support,sabjective support,social support utilization degree and social support score were negatively related to the complexity of uncertainty(r--0.419,-0.433,-0.390 and-0.421,respectively,all P＜ 0.05).Conclusions Medical staff should evaluate the uncertainty in illness in elderly patients with prediabetes and conduct nursing intervention accordingly,in order to reduce the uncertainty,increase social support,and ultimately improve the quality of life.

OBJECTIVE To monitor hospital infection continuously in five years in order to learn the rule of dynamic movements and its characters.METHODS To analyze the documents by prospective monitoring and retrospective(investigation).RESULTS The number of discharged inpatients increased year by year while the infection rate(developed) smoothly.Its average rate was 6.88%.CONCLUSIONS The aim to take hospital infection under control has(accomplished).

Breast cancer is a malignant tumor with the highest morbidity and mortality in female in recent years, and it is a complex disease that affects human health. Studies have shown that dynamic network biomarkers (DNB) can effectively identify critical states at which complex diseases such as breast cancer change from a normal state to a disease state. However, the traditional DNB method requires data from multiple samples in the same disease state, which is usually unachievable in clinical diagnosis. This paper quantitatively analyzes the time series data of MCF-7 breast cancer cells and finds the DNB module of a single sample in the time series based on landscape DNB (L-DNB) method. Then, a comprehensive index is constructed to detect its early warning signals to determine the critical state of breast cancer cell differentiation. The results of this study may be of great significance for the prevention and early diagnosis of breast cancer. It is expected that this paper can provide references for the related research of breast cancer.
Biomarkers, Tumor ; Breast Neoplasms ; diagnosis ; Cell Differentiation ; Disease Progression ; Early Detection of Cancer ; Female ; Humans ; MCF-7 Cells

Self-assembling amphipathic peptides (SAPs) have alternating hydrophilic and hydrophobic residues and can affect the thermal stabilities and catalytic properties of the fused enzymes. In this study, a novel multifunctional tag, S1vw (HNANARARHNANARARHNANARARHNARARAR) was developed to modify fused enzymes. After fusing S1vw at the enzymes/proteins N-terminus through a PT-linker, the crude enzymatic activities of polygalacturonate lyase and lipoxygenase were enhanced 3.1- and 1.89-fold, respectively, compared to the wild-type proteins. The relative fluorescence intensity of the green fluorescent protein was enhanced 16.22-fold. All the three S1vw fusions could be purified by nickel column with high purities and acceptable recovery rates. Moreover, S1vw also induced the thermostabilities enhancement of the fusions, with polygalacturonate lyase and lipoxygenase fusions exhibiting 2.16- and 3.2-fold increase compared with the corresponding wild-type, respectively. In addition, S1vw could enhance the production yield of green fluorescent protein in Escherichia coli and Bacillus subtilis while the production of GFP and its S1vw fusion changed slightly in Pichia pastoris. These results indicated that S1vw could be used as a multifunctional tag to benefit the production, thermal stability and purification of the fusion protein in prokaryotic expression system.
Escherichia coli ; Green Fluorescent Proteins ; Hydrophobic and Hydrophilic Interactions ; Peptides ; Pichia ; Recombinant Fusion Proteins ; metabolism

Objective To explore the status and influencing factors of the rescue posttraumatic growth of Chinese people' s armed forces soldiers in order to provide a new point of view for psychological intervention.Methods 424 soldiers who had executed earthquake rescue task were assessed with Posttraumatic Growth Inventory (PTGI),and the growth status between different groups were compared.Results (1) The average score of PTGI 21 items ranged from 2.72-3.72,and the score of most items were above 3,which implied the growth degree was between middle change and more change.8 items with highest score were focused on three dimensions which were labeled interpersonal relationship,appreciation of life and personal strength.(2) There was no significant difference between the total score of different rank groups (F=0.885,P＞0.05),which score were 3.43±0.66,3.50±0.62,3.50±0.79,3.30±1.11 respectively.The was significant difference in 4 dimensions and total score of PTGI between the group which had executed rescue task for more than 14 days and the other which had executed rescue task for less than 14 days,and the scores of the group which had executed rescue task for more than 14 days were higher (P＜0.05 or 0.01).Conclusion Almost all rescue soldiers perceives mental growth,such as the changes of interpersonal relationship,attitude of life,and personal strength particularly.The duration of rescue task might be a influencing factor of posttraumatic growth.

OBJECTIVE:To optimize the extraction technology of glucosinolates from Uighur medicine Brassica rapa L.. METHODS:Ethanol refluxing method was adopted to extract glucosinolates from Uighur medicine B. rapa L.. With the comprehen-sive score of glucosinolates and dry extract yield as the index,L9(34)orthogonal test based on the single factor test was adopted to observe the effects of ethanol volume fraction,extraction time and material-liquid ratio on the extraction technology of glucosino-lates from B. rapa L.,and verification test was conducted. RESULTS:The optimal extraction technology was to add 95% ethanol 8 times as much as the amount of the herbs,twice for 1.0 h reflux extractions. The extraction amount of glucosinolates and dry ex-tract yield were 7.36 mg/g and 25.29% at average,respectively.The comprehensive score of RSD was 0.52%(n=3). CONCLU-SIONS:The optimal extraction technology is stable and feasible and can be used for the extraction of glucosinolates from B. rapa L..

Objective To research the effect of cavity under Bolus to anisotropic analytical algorithm (AAA) on calculation precision of dose in shallow tissue based on Monte Carlo method;Methods A 30 cm × 30 cm × 30 cm water phantom with the upper surface was constructed which was located at the source-axis distance (SAD) of the medical linear accelerator and the center as well as coincided with the central axis of the radiation field in Eclipse treatment panning system. Above the water phantom, a water film of 1 cm thick with or without different cavities was constructed or. AAA was used to calculate the dose distribution on the central axis and the x-axis of different depth of the water model with different cavities respectively. The accelerator model, the same water phantom and the water film were constructed and the dose distributions of the same positions were calculated with Geant4. Based on the Geant4 calculation result, the calculation precision of AAA with different cavity were compared;Results For cavities with area of 2 cm × 2 cm, if the thickness is smaller than 0.5 cm, the AAA calculation error is about 2%. with the cavity thickness increase, the AAA would overestimate the dose in the shallow area under the cavity. With the cavity area increase, the area where AAA overestimate the shallow dose gradually moved out until near the edge of the radiation field, and the calculation error on the central area gradually reduced until there is basically no error. Conclusions The shallow dose would be increased according to the cavity size when planning with AAA; If there are cavities with large volume, it is better to reposition.

Microbial oils are potential resources of fuels and food oils in the future. In recent years, with the rapid development of systems biology technology, understanding the physiological metabolism and lipid accumulation characteristics of oleaginous microorganisms from a global perspective has become a research focus. As an important tool for systems biology research, omics technology has been widely used to reveal the mechanism of high-efficiency production of oils by oleaginous microorganisms. This provides a basis for rational genetic modification and fermentation process control of oleaginous microorganisms. In this article, we summarize the application of omics technology in oleaginous microorganisms, introduced the commonly used sample pre-processing and data analysis methods for omics analysis of oleaginous microorganisms, reviewe the researches for revealing the mechanism of efficient lipid production by oleaginous microorganisms based on omics technologies including genomics, transcriptomics, proteomics (modification) and metabolomics (lipidomics), as well as mathematical models based on omics data. The future development and application of omics technology for microbial oil production are also proposed.
Fermentation ; Lipids ; Metabolomics ; Proteomics ; Technology

L-glutamic acid is the world's largest bulk amino acid product that is widely used in the food, pharmaceutical and chemical industries. Using Corynebacterium glutamicum G01 as the starting strain, the fermentation by-product alanine content was firstly reduced by knocking out the gene encoding alanine aminotransferase (alaT), a major by-product related to alanine synthesis. Secondly, since the α-ketoglutarate node carbon flow plays an important role in glutamate synthesis, the ribosome-binding site (RBS) sequence optimization was used to reduce the activity of α-ketoglutarate dehydrogenase and enhance the glutamate anabolic flow. The endogenous conversion of α-ketoglutarate to glutamate was also enhanced by screening different glutamate dehydrogenase. Subsequently, the glutamate transporter was rationally desgined to improve the glutamate efflux capacity. Finally, the fermentation conditions of the strain constructed using the above strategy were optimized in 5 L fermenters by a gradient temperature increase combined with a batch replenishment strategy. The glutamic acid production reached (135.33±4.68) g/L, which was 41.2% higher than that of the original strain (96.53±2.32) g/L. The yield was 55.8%, which was 11.6% higher than that of the original strain (44.2%). The combined strategy improved the titer and the yield of glutamic acid, which provides a reference for the metabolic modification of glutamic acid producing strains.
Glutamic Acid ; Corynebacterium glutamicum/genetics* ; Ketoglutaric Acids ; Metabolic Engineering ; Alanine

Objective: To explore the effect of miR-424/HMGA1 (high mobility proteinA1) axis on the radio-sensitivity of breast cancer cells and the possible mechanism. Methods:Atotal of 50 cases of breast cancer tissues from patients, who underwent surgical resection at the Department of Oncological Radiotherapy, Wuxi Fourth People’s Hospital from April 2014 to April 2017, were collected for this study. Real-time quantitative polymerase chain reaction (qPCR) and Western blotting were performed to evaluate the mRNA and protein expressions of miR-424 and HMGA1 in breast cancer tissues of radiation sensitive and insensitive patients. After being treated with different doses of 60Co γ-ray radiation (0, 2, 4, 6 and 8 Gy), the expression changes of miR-424 and HMGA1 in breast cancer MDA-MB-468 cells were observed. Subsequently, miR-424 mimic/inhibitor and pcDNA-HMGA1 were transfected into MDA-MB-468 cells, and the effect of miR-424 on cell proliferation, invasion and apoptosis of radiation-treated MDA-MB-468 cells were evaluated by colony formation assay, MTT assay, Transwell assay and Annexin V-FITC/PI double staining flow cytometry assay, respectively. Furthermore, dual luciferase reporter gene assay was used to verify whether HMGA1 was a target gene of miR-424. Results: The patients in radio-sensitive group exhibited higher miR-424 expression but lower HMGA1 expression than the patients in insensitive group (all P<0.01). Compared with the cells treated with 0, 2 and 4 Gy radiation, the cells treated with 6 and 8Gy radiation exhibited significantly higher apoptosis rate and miR-424 expression but lower HMGA1 expression and cell invasion (all P<0.01). Moreover, luciferase reporter gene assay confirmed that miR-424 down-regulated HMGA1 expression. Mechanistically, miR-424 significantly inhibited cell proliferation, invasion and induced apoptosis of MDA-MB-468 cells (all P<0.01) via targeted down-regulating HMGA1, and further upregulated the radio-sensitivity of breast cancer cells. Conclusion: miR-424/HMGA1 axis regulates the radio-sensitivity of breast cancer, and over-expression of miR-424 may increase the sensitivity of MDA-MB-468 cells to γ-ray radiation therapy.