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Objective: To establish a renal cell carcinoma sunitinib-resistant cell line and to explore the mechanism by which protein disulfide isomerase A4 (PDIA4) regulates sunitinib resistance in renal cell carcinoma. Methods: A small-dose intermittent induction method was used to establish 786-O and OS-RC-2 resistant cell lines (786-OR and OS-RC-2R), qRT-PCR and Western blot were used to detect the expression of PDIA4 in drug-resistant renal carcinoma cell lines and non-drug-resistant renal carcinoma cell lines, and lentiviral infection was used to construct a stable overexpression or knockdown renal carcinoma cell line of PDIA4. The effect of PDIA4 on the proliferation of renal cancer cells was detected by CCK-8 assay; the expression of apoptosis-related proteins BCL2, BAX, Caspase3, Cleaved-Caspase3, and Caspase9 was detected by RT-qPCR and Western blot. Results: Compared with the control group of parental cells 786-O and OS-RC-2, the PDIA4 expression levels of drug-resistant cell lines 786-OR and OS-RC-2R are significantly increased (P<0.05). Overexpression of PDIA4 promoted the growth and viability of renal cancer cells as well as decreased the sensitivity of renal cancer cells to sunitinib (P<0.05), whereas knockdown of PDIA4 inhibited the growth and viability of renal cancer cells as well as elevated the sensitivity of renal cancer cells to sunitinib (P<0.05). In addition, overexpression of PDIA4 inhibited the expression of pro-apoptotic proteins (P<0.05), while knockdown of PDIA4 promoted the expression of pro-apoptotic proteins (P<0.05). Conclusion: PDIA4 is associated with sunitinib resistance in renal cell carcinoma by the mechanism of inhibition of apoptosis causing sunitinib resistance in renal cell carcinoma, and targeting PDIA4 reverses the resistance. [ABSTRACT FROM AUTHOR]

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Copyright of Chinese Journal of Applied Mechanics is the property of Chinese Journal of Applied Mechanics Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper, the elastic modulus and creep degree of RCC gravity damwere calculated based on the measured displacement and strain. Using Fortran language and numerical calculation software Flac3D, a creep numerical calculation program was developed to realize the simulation calculation of the whole process during construction and operation. The displacement and strain measurements during the sudden rise of water level were used to invert the stable elastic modulus of the dam body and dam foundation. Based on the orthogonal experiment design and the creep numerical calculation program, a sample of the correspondence between the parameters to be inverted and the calculated strain values at the monitoring points was obtained. With the help of intelligent algorithm support vector machine (SVM) and genetic algorithm (GA), the calculated strain values and GA-SVM prediction model for inverse parameter relationship was established. During the inversion calculation, the measured strain value at the monitoring point was true, and the calculated strain value was directly calculated by the GA-SVM prediction model, eliminating the need for numerical calculation. The strain values calculated according to the feedback of the inversion parameters were in good agreement with the measured values. The research results show that the inversion calculation method of the creep variant in this paper is reasonable and effective, which greatly reduces the numerical calculation of the entire process of the creep variant and its parameter inversion time required. [ABSTRACT FROM AUTHOR]

The article offers information on a study which analyzes the changes of blood items and malondialdehyde (MDA) levels and superoxide dismutase (SOD) activities in chickens after infected with Marek's disease virus (MDV). It notes that there is an increase in red blood cell count (RBC), white blood cell count (WBC) and heamoglobin concentrations after infection. It mentions that immunization can improve the development and maturation of red cells and the production of white cells.