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Purpose: The present study discussed the effects of accidental parathyroid resection on hypoparathyroidism and investigated the risk factors associated with accidental parathyroid resection. Methods: Clinical data from patients who have undergone thyroidectomy at a university hospital in the period from November 2018 and October 2020 were entered into the database and analyzed. Risk factors for accidental parathyroid resection were recorded. Results: A total of 1775 cases were included in this study. The analysis showed that lymph-node dissection (p < 0.001), T staging (p = 0.037), and treatment group (p < 0.001) were independent risk factors for accidental parathyroid resection. Different treatment groups were important risk factors for accidental parathyroid resection. There were significant differences between the professional and non-professional groups in the following aspects: accidental parathyroid resection (p < 0.001), Scope (p < 0.001), T stage (p = 0.009), N stage (p < 0.001), range of lymph-node dissection (p < 0.001), number of lymph nodes dissected in central area (p < 0.001), and number of lymph-node metastases in the central region (p < 0.001). Conclusions: The causes of accidental parathyroid resection are multifactorial. The predictors for accidental parathyroid resection include lymph-node dissection in the central region, T staging, as well as the operating surgeons' experience. [ABSTRACT FROM AUTHOR]

Objective: Chronic nonbacterial prostatitis (CNP) has remained one of the most prevalent urological diseases, particularly in older men. Dihydroartemisinin (DHA) has been identified as a semi-synthetic derivative of artemisinin that exhibits broad protective effects. However, the role of DHA in inhibiting CNP inflammation and prostatic epithelial cell proliferation remains largely unknown. Materials and methods: CNP animal model was induced by carrageenan in C57BL/6 mouse. Enzyme linked immunosorbent assay (ELISA), Real-time quantitative polymerase chain reaction (RT-qPCR) and Western blot were used to examine inflammatory cytokines and proliferation genes expression. Immunofluorescence and immunochemistry staining were used to detect and E2F7 expression. Human prostatic epithelial cells (HPECs) and RWPE-1 was induced by lipopolysaccharide (LPS) to mimic CNP model in vitro. Cell proliferation was determined using MTS assay. Results: DHA significantly alleviated the rough epithelium and inhibited multilamellar cell formation in the prostatic gland cavity and prostatic index induced by carrageenan. In addition, DHA decreased the expression of TNF-α and IL-6 inflammatory factors in prostatitis tissues and in LPS-induced epithelial cells. Upregulation of transcription factor E2F7, which expression was inhibited by DHA, was found in CNP tissues, human BPH tissues and LPS-induced epithelial cells inflammatory response. Mechanically, we found that depletion of E2F7 by shRNA inhibited epithelial cell proliferation and LPS-induced inflammation while DHA further enhance these effects. Furthermore, HIF1α was transcriptional regulated by E2F7 and involved in E2F7-inhibited CNP and cellular inflammatory response. Interestingly, we found that inhibition of HIF1α blocks E2F7-induced cell inflammatory response but does not obstruct E2F7-promoted cell growth. Conclusion: The results revealed that DHA inhibits the CNP and inflammation by blocking the E2F7/HIF1α pathway. Our findings provide new evidence for the mechanism of DHA and its key role in CNP, which may provide an alternative solution for the prevention and treatment of CNP. [ABSTRACT FROM AUTHOR]

Abstract  The paper proposes a client-centric computing model that allows for adaptive execution of service-oriented applications. The model can flexibly dispatch application tasks to the client side and the network side, dynamically adjust an execution scheme to adapt to environmental changes, and thus is expected to achieve better scalability, higher performance and more controllable privacy. Scheduling algorithms and the rescheduling strategies are proposed for the model. Experiments show that with the model the performance of service-oriented application execution can be improved. [ABSTRACT FROM AUTHOR]