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Stephen B. Pruett

Researcher at Mississippi State University

Publications -  117
Citations -  3312

Stephen B. Pruett is an academic researcher from Mississippi State University. The author has contributed to research in topics: Corticosterone & Cytokine. The author has an hindex of 33, co-authored 116 publications receiving 3156 citations. Previous affiliations of Stephen B. Pruett include Louisiana State University & St. Jude Children's Research Hospital.

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Development and Characterization of a Binge Drinking Model in Mice for Evaluation of the Immunological Effects of Ethanol

TL;DR: Administration of EtOH to B6C3F1 mice by gavage produces behavioral changes, changes in blood EtOH levels, and probably glucocorticoid levels representative of at least some human binge drinkers.
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TLR4, ethanol, and lipid rafts: a new mechanism of ethanol action with implications for other receptor-mediated effects.

TL;DR: Results summarized in this review indicate that EtOH acts by altering the LPS-induced redistribution of components of the TLR4 complex within the lipid raft and that this is related to changes in actin cytoskeleton rearrangement, receptor clustering, and subsequent signaling.
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Evaluation of nitrite production by human monocyte-derived macrophages.

TL;DR: There is a need for caution in extrapolating from rodent studies regarding the role of reactive nitrogen intermediates in anti-tumor or anti-microbial functions of human macrophages, because of the heterogeneity among macrophage populations.
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Stress and the immune system.

Stephen B. Pruett
- 01 May 2003 - 
TL;DR: Three complementary conceptual frameworks are presented that may prove useful in developing an understanding of the effects of a particular stressor on a particular immune or inflammatory function and some of the factors that can influence the outcome of stress-immunology studies are discussed.
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Quantifying the Relationship Between Multiple Immunological Parameters and Host Resistance: Probing the Limits of Reductionism

TL;DR: The results illustrate that mathematical models can be used to explain changes in host resistance on the basis of changes in immune parameters, and that moderate changes in relevant immunological parameters may not produce the types of changesIn host resistance expected on the based of results from reductionist experimental designs.