Literature DB >> 19476168

Immune status, latent viral reactivation, and stress during long-duration head-down bed rest.

Brian E Crucian1, Raymond P Stowe, Satish K Mehta, Deborah L Yetman, Melanie J Leal, Heather D Quiriarte, Duane L Pierson, Clarence F Sams.   

Abstract

INTRODUCTION: As logistical access for space research becomes more limited and NASA prepares for exploration-class missions, ground-based spaceflight analogs will increase in importance for biomedical countermeasures development. A monitoring of immune parameters was performed during the NASA Flight Analogs Project bed rest study (without countermeasure); to establish 'control' data against which future studies (with countermeasure) will be evaluated. Some of the countermeasures planned to be evaluated in future studies may impact immune function.
METHODS: The immune assessment consisted of: leukocyte subset distribution, early T cell activation, intracellular cytokine profiles, latent viral reactivation, virus specific T cell levels and function, stress hormone levels, and a behavioral assessment using stress questionnaires.
RESULTS: In general, subjects did not display altered peripheral leukocyte subsets, constitutive immune activation, altered T cell function, or significant latent viral reactivation (EBV, VZV). Levels of constitutively activated T cells (CD8+/CD69+) and virus-specific T cells (CMV and EBV) decreased during the study. Cortisol levels (plasma and saliva) did not vary significantly during 90-d bed rest.
CONCLUSIONS: These data demonstrate the absence of significant immune system alteration and physiological stress during 90-d bed rest, and establish control data against which future studies (including countermeasures) may be compared.

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Year:  2009        PMID: 19476168     DOI: 10.3357/asem.br05.2009

Source DB:  PubMed          Journal:  Aviat Space Environ Med        ISSN: 0095-6562


  13 in total

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Authors:  Paula Hoff; Daniel L Belavý; Dörte Huscher; Annemarie Lang; Martin Hahne; Anne-Kathrin Kuhlmey; Patrick Maschmeyer; Gabriele Armbrecht; Rudolf Fitzner; Frank H Perschel; Timo Gaber; Gerd-Rüdiger Burmester; Rainer H Straub; Dieter Felsenberg; Frank Buttgereit
Journal:  Cell Mol Immunol       Date:  2014-11-10       Impact factor: 11.530

2.  Immune system dysregulation occurs during short duration spaceflight on board the space shuttle.

Authors:  Brian Crucian; Raymond Stowe; Satish Mehta; Peter Uchakin; Heather Quiriarte; Duane Pierson; Clarence Sams
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4.  Structural Brain Changes following Long-Term 6° Head-Down Tilt Bed Rest as an Analog for Spaceflight.

Authors:  D R Roberts; X Zhu; A Tabesh; E W Duffy; D A Ramsey; T R Brown
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5.  Fatigue in medical residents leads to reactivation of herpes virus latency.

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Journal:  Interdiscip Perspect Infect Dis       Date:  2011-12-20

6.  Effects of prolonged head-down bed rest on working memory.

Authors:  Qing Liu; Renlai Zhou; Xin Zhao; Tian Po S Oei
Journal:  Neuropsychiatr Dis Treat       Date:  2015-03-26       Impact factor: 2.570

7.  Human immune system adaptations to simulated microgravity revealed by single-cell mass cytometry.

Authors:  J M Spatz; M Hughes Fulford; D Gaudilliere; N Aghaeepour; Brice Gaudilliere; A Tsai; J Hedou; E Ganio; M Angst
Journal:  Sci Rep       Date:  2021-06-07       Impact factor: 4.379

8.  Effects of head-down bed rest on the executive functions and emotional response.

Authors:  Qing Liu; Renlai Zhou; Shanguang Chen; Cheng Tan
Journal:  PLoS One       Date:  2012-12-17       Impact factor: 3.240

9.  Changes of cytokines during a spaceflight analog--a 45-day head-down bed rest.

Authors:  Xi Xu; Cheng Tan; Pingping Li; Shusong Zhang; Xuewen Pang; Hongju Liu; Li Li; Xiuyuan Sun; Yu Zhang; Hounan Wu; Xiaoping Chen; Qing Ge
Journal:  PLoS One       Date:  2013-10-15       Impact factor: 3.240

10.  Serum miRNAs miR-23a, 206, and 499 as Potential Biomarkers for Skeletal Muscle Atrophy.

Authors:  Fei Wang; Jing Wang; Jian He; Wenjiong Li; Jinglong Li; Shengju Chen; Peng Zhang; Hongju Liu; Xiaoping Chen
Journal:  Biomed Res Int       Date:  2017-10-30       Impact factor: 3.411

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