Pregled bibliografske jedinice broj: 3250
Immune response to stress
Immune response to stress // Stress of Life. Stress and Adaptation from Molecules to Man / Csermely, Peter (ur.).
Budimpešta: Hungarian Ministry of Environment Protection, 1997. str. 122-122 (pozvano predavanje, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 3250 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Immune response to stress
Autori
Sabioncello, Ante
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Stress of Life. Stress and Adaptation from Molecules to Man
/ Csermely, Peter - Budimpešta : Hungarian Ministry of Environment Protection, 1997, 122-122
Skup
International Congress of Stress, an interdisciplinary discussion commemorating the 90th birth anniversary of Hans Selye
Mjesto i datum
Budimpešta, Mađarska, 01.07.1997. - 05.07.1997
Vrsta sudjelovanja
Pozvano predavanje
Vrsta recenzije
Međunarodna recenzija
Sažetak
The stress coordinates the generalized stress response which take place when a stressor of any kind exceeds a threshold. Activation of the stress system lead to behavioral and peripheral changes that improve the ability of the organism to adjust homeostasis. Chronic exposure to fluctuating, external or internal, challenge is particularly!
stressful. Stress response includes activation of integrated neuroendocrine and immune systems. A bidirectional intercellular (auto)regulatory circuits exist between the two systems, communicating through common signal molecules. These comprise neuropeptides, hormones, cytokines, and their receptors. Cytokine receptors on cells of the immune and nervous system seem to play a sensory and regulatory role enabling the brain to monitor the progress of immune responses. The brain modulate immune responses by neuroimmunomodulatory factors to alter the functional capacities of immune cells.
In an attempt to assess how a variety of immune, psychoneuroendocrine and nutritional factors interact in the expression of the war-related chronic stress, we used multivariate canonical correlation as a statistical model analysis. By cluster analysis, all tested variables were classified into hierarchically joined clusters of similarity based on distances in multidimension!
al space.
Izvorni jezik
Engleski
Znanstvena područja
Temeljne medicinske znanosti