Department of Veterinary Sciences, University of Parma, Via del Taglio, 10, 43126 Parma, Italy. Electronic address:
Published: December 2015
AI Article Synopsis
Article Abstract
The study aims at evaluating gene expression of pro-inflammatory (IL-1β, IL-8, TNF-α), pro-immune (IFN-γ), anti-inflammatory (IL-10) cytokines and of the immunoregulatory signal FoxP3 in association with PRRSV-specific IFN-γ secreting cell (SC) responsiveness upon PRRSV natural infection. Forty PRRSV-negative pigs were assigned to two groups: 20 pigs were vaccinated at 3 weeks of age (weaning) against PRRSV (V-PRRSV) with a modified live virus vaccine (MLV) and 20 pigs were kept non-vaccinated (NV) as controls. Blood samples were collected at 3 (vaccination), 6, 8, 10, 12, 14, and 16 weeks of age. Natural infection occurred from 8 weeks of age onward in both groups and viremia lasted 8 weeks. In the early phase of infection, pro-inflammatory cytokines (IL-1β, IL-8, TNF-α) showed a delayed increase concomitant with the peak of viremia in both groups. In both groups, IL-10 peaked at 12 weeks in association with the increase of pro-inflammatory cytokines. Conversely, in vaccinated pigs (V-PRRSV), IFN-γ showed higher gene expression during the early phase of infection and a more intense secreting cell (SC) response in the late phase. Differently, gene expression of the transcription factor FoxP3, expressed by T regulatory lymphocytes (Tregs), increased significantly in controls only and was associated with the rise of the viral load. Moreover, FoxP3 levels remained significantly higher during the late phase of infection and paralleled with lower levels of IFN-γ SC detected by ELISPOT. The expression/production of immunoregulatory signals involved in Treg activation could be a promising marker to study the immunobiology of PRRSV infection.
It is now understood that brain metastases do not occur randomly but have distinct spatial patterns depending on the origin of the cancer. According to the "seed and soil" hypothesis, the final colonization of metastatic cells is the result of their adaptation to the altered environment. To investigate the most favorable microenvironment for brain metastasis, we analyzed neuroimaging data from 177 patients with breast cancer brain metastasis and 548 patients with lung cancer brain metastasis to create a replicable probabilistic map of metastatic locations.
Introduction: Typhoid fever is an infectious disease primarily caused by sv. Typhi ( Typhi), a bacterium that causes as many as 20 million infections and 600,000 deaths annually. Asymptomatic chronic carriers of S.
Background: Asthma is a global chronic respiratory disease with complex pathogenesis. While current therapies offer some relief, they often fall short in effectively managing symptoms and preventing exacerbations for numerous patients. Thus, understanding its mechanisms and discovering new drug targets remains a pressing need for better treatment.
This paper develops a method for cancer classification from microRNA data using a convolutional neural network (CNN)-based model optimized by genetic algorithm. The convolutional neural network has performed well in various recognition and perception tasks. This paper contributes to the cancer classification using a union of two CNNs.
Department of Otolaryngology, Longgang Otolaryngology hospital & Shenzhen Key Laboratory of Otolaryngology, Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, China.
Head and neck squamous carcinoma (HNSC), characterized by a high degree of malignancy, develops in close association with the tumor immune microenvironment (TIME). Therefore, identifying effective targets related to HNSC and TIME is of paramount importance. Here, we employed the ESTIMATE algorithm to compute immune and stromal cell scores for HNSC samples from the TCGA database and identified differentially expressed genes (DEGs) based on these scores.
