Objectives We investigated the role of long non-coding (lnc) RNA-NEF (neighboring enhancer of FoxA2), a characterized oncogene in cancer biology, in postmenopausal osteoporosis and its diagnostic and prognostic value in this disease. Methods Expression of lncRNA-NEF in plasma was detected by RNA extraction and real-time quantitative PCR. The diagnostic value of lncRNA-NEF and interleukin (IL)-6 for postmenopausal osteoporosis was evaluated by receiver operating characteristic curve analysis, with postmenopausal osteoporosis patients as true positive cases and healthy volunteers as true negative cases. Results We showed that plasma lncRNA-NEF was downregulated and plasma IL-6 was upregulated in postmenopausal osteoporosis patients compared with healthy controls. Altered plasma levels of lncRNA-NEF and IL-6 separated postmenopausal osteoporosis patients from healthy controls, and lncRNA-NEF and IL-6 were inversely and significantly correlated in osteoporosis patients. Patients were divided into high (n = 68) and low lncRNA-NEF (n = 73) groups according to Youden’s index. Patients with high lncRNA-NEF levels required a significantly shorter treatment course and had a lower post-treatment recurrence rate. Conclusion We showed that lncRNA-NEF is downregulated in postmenopausal osteoporosis and is related to course of treatment and recurrence. The involvement of lncRNA-NEF in postmenopausal osteoporosis is likely related to IL-6.
Purpose: To study the effects of parenteral nutrition (TPN), ω-3 polyunsaturated fatty acid (PUFA), Larginine (Arg), and glutamine on cellular immunity of patients who
05). IL-6 in group E was lower than that in any of the other four groups (p < 0.05). IL-10 in group A was lower than that in groups B, C and D, but lower than in group E (p < 0.05). The levels of TNF-a in groups B and C were lower than those in group A, but higher than that in group E (p < 0.05) but lower than in group D. IgA in group E was higher than in the other groups (p < 0.05), while IgM level in group E was lower than in groups A, B and C (p < 0.05
Abundant solid materials were formed as a result of landslide and collapse due to Wenchuan earthquake. The solid source around mountains would form a debris flow when appropriate rain condition occurs. Such a debris flow is structurally very large and strong, and the river flow can hardly wash away the deposit when the debris flow enters into the mainstream. As a result, the deposit on the river bed due to debris flow will cause a series of hazards. Based on the previous researches and relevant data, this paper simplified the interaction between debris flow and current of the main river, and adopted the finite element characteristic-based-split algorithm which is favorable to the stabilization of dealing with the convection. Finally, the numerical model of the confluence of debris flow deposit and main river was developed, and the deposit progress of the mega-debris flow from Wenjiagou in Mianyuan river was reproduced. Furthermore, the influence of the deposit on the flow route of the main river, and distribution of velocity and water depth were analyzed. The results showed that the simulation deposit terrain qualitatively agreed with the field data through comparison, including the deposit area and depth distribution. Furthermore, the improvement of the model in future was discussed. torrential flood, debris flow, confluence zone, FEM Citation: Chen R D, Liu X N, Cao S Y, et al. Numerical simulation of deposit in confluence zone of debris flow and mainstream.
Abstract. There is little historic data about the vulnerability of damaged elements due to debris flow events in China. Therefore, it is difficult to quantitatively estimate the vulnerable elements suffered by debris flows. This paper is devoted to the research of the vulnerability of brick and concrete walls impacted by debris flows. An experimental boulder (an iron sphere) was applied to be the substitute of debris flow since it can produce similar shape impulse load on elements as debris flow. Several walls made of brick and concrete were constructed in prototype dimensions to physically simulate the damaged structures in debris flows. The maximum impact force was measured, and the damage conditions of the elements (including cracks and displacements) were collected, described and compared. The failure criterion of brick and concrete wall was proposed with reference to the structure characteristics as well as the damage pattern caused by debris flows. The quantitative estimation of the vulnerability of brick and concrete wall was finally established based on fuzzy mathematics and the proposed failure criterion. Momentum, maximum impact force and maximum impact bending moment were compared to be the best candidate for disaster intensity index. The results show that the maximum impact bending moment seems to be most suitable for the disaster intensity index in establishing vulnerability curve and formula.
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