Search for: tumor-necrosis-factor-alpha
Article BioMed Research International ; Volume 2021 , 2021 ; 23146133 (ISSN) ; Moosavi, A ; Alexandrakis, G ; Mofrad, M. R. K ; Sharif University of Technology
Hindawi Limited 2021
Interest in the design and manufacture of RNA and DNA aptamers as apta-biosensors for the early diagnosis of blood infections and other inflammatory conditions has increased considerably in recent years. The practical utility of these aptamers depends on the detailed knowledge about the putative interactions with their target proteins. Therefore, understanding the aptamer-protein interactions at the atomic scale can offer significant insights into the optimal apta-biosensor design. In this study, we consider one RNA and one DNA aptamer that were previously used as apta-biosensors for detecting the infection biomarker protein TNF-α, as an example of a novel computational workflow for...
Association of biomarkers of systemic inflammation with organic components and source tracers in quasi-ultrafine particles, Article Environmental Health Perspectives ; Volume 118, Issue 6 , 2010 , Pages 756-762 ; 00916765 (ISSN) ; Staimer, N ; Tjoa, T ; Arhami, M ; Polidori, A ; Gillen, D. L ; Kleinman, M. T ; Schauer, J. J ; Sioutas, C ; Sharif University of Technology
Background: Evidence is needed regarding the air pollutant components and their sources responsible for associations between particle mass concentrations and human cardiovascular outcomes. We previously found associations between circulating biomarkers of inflammation and mass concentrations of quasi-ultrafine particles ≤ 0.25 μm in aerodynamic diameter (PM0.25) in a panel cohort study of 60 elderly subjects with coronary artery disease living in the Los Angeles Basin.Objectives: We reassessed biomarker associations with PM0.25 using new particle composition data.Methods: Weekly biomarkers of inflammation were plasma interleukin-6 (IL-6) and soluble tumor necrosis factor-α receptor II...
Article Tumor Biology ; Volume 39, Issue 6 , 2017 ; 10104283 (ISSN) ; Mostafaei, S ; Yari, K ; Ghasemi, A ; Chenar, H. M ; Moghoofei, M ; Sharif University of Technology
Human parvovirus B19 (B19) is a small, non-enveloped virus and belongs to Parvoviridae family. B19 persists in many tissues such as thyroid tissue and even thyroid cancer. The main aim of this study was to determine the presence of B19, its association with increased inflammation in thyroid tissue, and thus its possible role in thyroid cancer progression. Studies have shown that virus replication in non-permissive tissue leads to overexpression of non-structural protein and results in upregulation of proinflammatory cytokines such as interleukin 6 and tumor necrosis factor alpha. A total of 36 paraffin-embedded thyroid specimens and serum were collected from patients and 12 samples were used...
Seasonal variations in the oxidative stress and inflammatory potential of PM2.5 in Tehran using an alveolar macrophage model; The role of chemical composition and sources, Article Environment International ; Volume 123 , 2019 , Pages 417-427 ; 01604120 (ISSN) ; Antkiewicz, D. S ; Hemming, J. D. C ; Shafer, M. M ; Lai, A. M ; Arhami, M ; Hosseini, V ; Schauer, J. J ; Sharif University of Technology
Elsevier Ltd 2019
The current study was designed to assess the association between temporal variations in urban PM2.5 chemical composition, sources, and the oxidative stress and inflammatory response in an alveolar macrophage (AM) model. A year-long sampling campaign collected PM2.5 samples at the Sharif University in Tehran, Iran. PM-induced reactive oxygen species (ROS) production was measured both with an acellular dithiothreitol consumption assay (DTT-ROS; ranged from 2.1 to 9.3 nmoles min−1 m−3) and an in vitro macrophage-mediated ROS production assay (AM-ROS; ranged from 125 to 1213 μg Zymosan equivalents m−3). The production of tumor necrosis factor alpha (TNF-α; ranged from ~60 to 518 pg TNF-α m−3)...
Article PLoS ONE ; Volume 12, Issue 8 , 2017 ; 19326203 (ISSN) ; Habibi, J ; Sharif University of Technology
Public Library of Science 2017
Background: Understanding cancer development crossing several spatial-temporal scales is of great practical significance to better understand and treat cancers. It is difficult to tackle this challenge with pure biological means. Moreover, hybrid modeling techniques have been proposed that combine the advantages of the continuum and the discrete methods to model multiscale problems. Methods: In light of these problems, we have proposed a new hybrid vascular model to facilitate the multiscale modeling and simulation of cancer development with respect to the agent-based, cellular automata and machine learning methods. The purpose of this simulation is to create a dataset that can be used for...