Background: The mortality is significantly higher in patients undergoing maintenance hemodialysis (MHD) than in the general population. It is well-known that vascular access (VA) is critical for MHD patients. But the association between VA satisfaction and all-cause mortality in MHD patients is still not clear.
View Article and Find Full Text PDFPseudorabies virus (PRV) is an alpha-herpesvirus capable of infecting a range of animal species, particularly its natural host, pigs, resulting in substantial economic losses for the swine industry. Recent research has shed light on the significant role of cholesterol metabolism in the replication of various viruses. However, the specific role of cholesterol metabolism in PRV infection remains unknown.
View Article and Find Full Text PDFAlpha-herpesvirus causes lifelong infections and serious diseases in a wide range of hosts and has developed multiple strategies to counteract the host defense. Here, we demonstrate that the tegument protein UL21 (unique long region 21) in pseudorabies virus (PRV) dampens type I interferon signaling by triggering the degradation of CGAS (cyclic GMP-AMP synthase) through the macroautophagy/autophagy-lysosome pathway. Mechanistically, the UL21 protein scaffolds the E3 ligase UBE3C (ubiquitin protein ligase E3C) to catalyze the K27-linked ubiquitination of CGAS at Lys384, which is recognized by the cargo receptor TOLLIP (toll interacting protein) and degraded in the lysosome.
View Article and Find Full Text PDFBackground: Vascular access (VA) is known to be critical for the survival of patients on maintained hemodialysis (MHD) treatment. However, the association between VA satisfaction and psychiatric state in MHD patients is still not fully elucidated. Thus, the aim of this study is to evaluate the relationship among VA satisfaction, health-related quality of life (HRQOL) and depression in MHD patients with different VA types.
View Article and Find Full Text PDFBackground And Purpose: This study aimed to analyze the diagnostic ability of the combination of stimulated thyroglobulin (sTg) and antithyroglobulin antibody (TgAb) in predicting the efficacy and prognosis of radioactive iodine (I) therapy (RAIT) in patients with differentiated thyroid carcinomas (DTCs) after total thyroidectomy (TT).
Methods: This retrospective study comprised 409 DTC patients who underwent I treatment following TT in the First Affiliated Hospital of Zhengzhou University from January 2019 to August 2020, and they were followed up to November 2021. Patients were divided into the successful ablation and the unsuccessful ablation group based on the classification of the efficacy of RAIT in the 2015 American Thyroid Association guidelines.
Background: N6-methyladenosine (m6A), a common internal modification on RNAs, has been found to be closely linked with RNA biosynthesis/metabolism and cancer development. In this text, the roles and molecular mechanisms of m6A-bind protein IGF2BP2 in the development of thyroid cancer (TC) were investigated in vitro.
Methods: IGF2BP2 and lncRNA HAGLR were screened out through multiple public databases such as TCGA, Ualcan, POSTAR2, Starbase, and GEPIA.
Mol Ther Nucleic Acids
December 2020
Long noncoding RNA (lncRNA) long intergenic nonprotein-coding RNA, p53-induced transcript (LINC-PINT) has shown anti-invasive activity in lung and colon cancer cells. However, the role of LINC-PINT in thyroid cancer is unclear. In the present work, we explored the expression of LINC-PINT in 60 paired thyroid cancer and adjacent normal tissues.
View Article and Find Full Text PDFIntroduction: Unlike most mutation-driven cancers, thyroid cancer is thought to be highly dependent on changes in human hormone levels. It has become research hotspot using the change of gene expression level as a detection and diagnostic marker. The internal relationship between two genes and disease development is used to avoid the instability caused by single gene fluctuation.
View Article and Find Full Text PDFTo improve the accuracy of midterm power load forecasting, a forecasting model is proposed by combing kernel principal component analysis (KPCA) with back propagation neural network. First, the dimension of the input space is reduced by KPCA, then input the data set to the neural network model, optimized by particle swarm optimization. The monthly average of daily peak loads is forecasted to modify the daily forecast values and output the daily peak load in the end.
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