Tick-borne encephalitis virus (TBEV) is maintained between ticks and mammals in nature and causes severe neurological disease in human. However, the mechanism of viral pathogenicity is unknown. Previously, we showed that the deletion in the variable region of the 3'-untranslated region (UTR) is involved in the pathogenicity of the strains from the Far-Eastern subtype of TBEV. To investigate the detailed function of the variable region, we constructed recombinant TBEV with partial deletions in the region. In a mouse model, the partial deletions drastically increased the virulence of the virus, with no effect on virus multiplication in mouse brain. Furthermore, the mutations did not affect the production of subgenomic flavivirus RNA from the 3'-UTR, and the induction of interferon (IFN) and IFN-stimulated genes. These data suggested that the conformational structure of the variable region is associated with the pathogenicity of the Far-Eastern subtype of TBEV. These findings provide a foundation for further research to identify the pathogenic mechanisms of TBEV.
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http://dx.doi.org/10.1016/j.virusres.2015.03.006 | DOI Listing |
Emergencias
December 2024
Servicio de Análisis Clínicos, Hospital Universitario Santa Lucía, Cartagena, Murcia, España.
Objective: To analyze the usefulness of mean mid-regional pro-adrenomedullin (MR-proADM) level to stratify risk in emergency department patients with solid tumors attended for febrile neutropenia after chemotherapy. To compare risk prediction with MR-proADM to that of conventional biomarkers and scores on the Multinational Association for Supportive Care in Cancer (MASCC) score.
Methods: Prospective observational cohort study enrolling patients with solid tumors who developed febrile neutropenia after chemotherapy.
Cureus
December 2024
Department of Radiology, University of Medicine and Pharmacy of Craiova, Craiova, ROU.
Background: Cervical cancer is considered one of the most common gynecological malignancies with an increased incidence in developing countries. Magnetic resonance imaging (MRI) plays a valuable role in staging cervical cancer and providing valuable information necessary for selecting the appropriate treatment plan, while closely correlating with the prognosis of the patient.
Objective: The aim of this study is to assess the diagnostic value of diffusion-weighted imaging (DWI) in the preoperative loco-regional staging of cervical carcinoma.
Clin Interv Aging
January 2025
Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, People's Republic of China.
Purpose: This study aims to identify self-management behavior profiles in multimorbid patients, and explore how workload, capacity, and their interactions influence these profiles.
Patients And Methods: A sequential explanatory mixed-methods design was employed. In the quantitative phase (August 2022 to May 2023), data were collected from 1,920 multimorbid patients across nine healthcare facilities in Zhejiang Province.
New Microbes New Infect
February 2025
Faculty of Agriculture, Dalhousie University, Nova Scotia, Canada.
Objectives: Antibiotic misuse is regarded as the single most significant factor contributing to resistance. Thus, this study aimed to evaluate the prevalence and risk variables linked to the inappropriate use of antibiotics in urban and rural districts of the Awi administrative zone community.
Methods: A total of 1194 rural and urban families, including individuals of various ages and genders from the study area were selected by a multistage stratified random sampling method for a comparative cross-sectional study conducted between December 2022 and June 2023.
Math Biosci Eng
December 2024
Department of Mathematics, New Mexico Tech, New Mexico 87801, USA.
We present a modeling strategy to forecast the incidence rate of dengue in the department of Córdoba, Colombia, thereby considering the effect of climate variables. A Seasonal Autoregressive Integrated Moving Average model with exogenous variables (SARIMAX) model is fitted under a cross-validation approach, and we examine the effect of the exogenous variables on the performance of the model. This study uses data of dengue cases, precipitation, and relative humidity reported from years 2007 to 2021.
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