The rapid, efficient detection of cell death is critical for characterizing the underlying biology of in vitro disease models and, in particular, immunotherapy products used for preclinical therapeutic research. Traditional endpoint assays are laborious to perform for mass screening of therapeutic candidates and may fail to fully capture the kinetics of events surrounding the initiation, duration, and mechanisms of cell death-important events that may affect translational relevance and impact therapeutic decision-making during development. Here, we describe simple, efficient methods to measure apoptosis and immune cell killing in both adherent and nonadherent cell populations using the Incucyte Live-Cell Analysis system and associated nonperturbing reagents, cells, and protocols.
View Article and Find Full Text PDFInfection negatively impacts mental health, as evidenced by the lethargy, malaise, and cognitive deficits experienced during illness. These changes in central nervous system processes, collectively termed sickness behavior, have been shown in animal models to be mediated primarily by the actions of cytokines in brain. Most studies of sickness behavior to date have used bolus injection of bacterial lipopolysaccharide (LPS) or selective administration of the proinflammatory cytokines interleukin-1β (IL-1β) or IL-6 as the immune challenge.
View Article and Find Full Text PDFObjective: This study examined the effectiveness of prospective stratification to identify and target high-dose glucocorticoid therapy for subjects developing lethal sepsis.
Design: Prospective, randomized, laboratory-controlled experiment.
Setting: University research laboratory.
Acute pancreatitis has an incidence of approximately 40 cases per year per 100,000 adults. Although usually self-limiting, 10% to 20% of afflicted patients will progress to severe pancreatitis. The mortality rate among patients with severe pancreatitis may approach 30% when they progress to multisystem organ failure.
View Article and Find Full Text PDFThe use of proteomics for efficient, accurate, and complete analysis of clinical samples poses a variety of technical challenges. The presence of higher abundance proteins in the plasma, such as albumin, may mask the detection of lower abundance proteins such as the cytokines. Methods have been proposed to deplete the sample of these higher abundance proteins to facilitate detection of those with lower abundance.
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