Inflammation

By O. Parnes. The Lancet, 2008

1,466 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/6144acffe711146136da280dc7a43141d6071574

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. M. Valko
2. G. Em Karniadakis
3. T. Simmet
4. C. Rosales
5. Maizar Raissi
6. D. Couchie
7. M. Mazúr
8. V. Deretic

Citations in the corpus

• Intermuscular Fat: A Review of the Consequences and Causes (2014, background): “Interestingly, several authors have reported relationships between increased proinflammatory cytokines and decreased muscle [83, 84] and mobility function [85–87] that are strikingly similar to those reported between IMAT and muscle and mobility function [19].”
• Autophagy in inflammation, infection, and immunometabolism (2021, background): “In bacterial infections however, the antimicrobial effects are attributable to autophagy whereas type I IFN activation may be an epiphenomenon that is neutral or with immunological consequence by suppressing inflammasome-driven inflammation (Burke et al., 2020; Guarda et al., 2011; Labzin et al., 20”
• NLRP3 inflammasome: From a danger signal sensor to a regulatory node of oxidative stress and inflammatory diseases (2015, background): “The atherogenic process is initiated by recruitment of LDL cholesterol into the arterial wall leading to inflammatory injury and the excess of cholesterol is partially deposited as cholesterol crystals [149,150].”
• Free radicals, metals and antioxidants in oxidative stress-induced cancer. (2006, background): “Activated macrophages initiat increase in oxygen uptake that gives rise to a va of reactive oxygen species, including superoxide an nitric oxide and hydrogen peroxide [10].”
• Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data (2018, background): “One of the real-world examples of the above benchmark problem is encountered in cardiovascular fluid mechanics, where one or multiple coronary arteries are partially blocked by atherosclerosis plaques formed by the lipid accumulation [32].”
• Neutrophil: A Cell with Many Roles in Inflammation or Several Cell Types? (2018, background): “NETs can also regulate cytokine production from macrophages in atherosclerosis (Warnatsch et al., 2015), and induce endothelial dysfunction directly by activation and damage of endothelial cells (Knight et al., 2014).”