BACKGROUND: @entity2270 plays a major role in physiological homeostasis. It is also involved in stress and adaptive response to the environment. In farm animals in general and specifically in @entity1707 , breeding strategies have highly favored production traits such as lean growth rate, feed efficiency and prolificacy at the cost of robustness. On the hypothesis that the @entity2270 could contribute to the trade-off between robustness and production traits, we have designed this experiment to explore individual variation in the biological response to the main stress hormone, @entity701 , in @entity1707 . We used ACTH injections to trigger production of @entity701 in 120 juvenile Large White (LW) @entity1707 from 28 litters and the kinetics of the response was measured with biological variables and whole blood gene expression at 4 time points. A multilevel statistical analysis was used to take into account the longitudinal aspect of the data. RESULTS: @entity701 level reached its @entity68667 h after ACTH injection. White blood cell composition was modified with a decrease of lymphocytes and monocytes and an increase of granulocytes (F D R<0.05). Basal level of @entity701 was correlated with birth and weaning weights. Microarray analysis identified 65 unique genes of which expression responded to the injection of ACTH (adjusted P<0.05). These genes were classified into 4 clusters with distinctive kinetics in response to ACTH injection. The first cluster identified genes strongly correlated to @entity701 and previously reported as being regulated by glucocorticoids. In particular, @entity68668 , @entity68669 , @entity68670 , @entity68671 , @entity39441 , @entity68672 , @entity68673 and @entity56067 were shown to be connected to each other by the glucocorticoid receptor @entity68674 . Most of the differentially expressed genes that encode transcription factors have not been described yet as being important in transcription networks involved in stress response. Their co-expression may mean co-regulation and they could thus provide new patterns of biomarkers of the individual sensitivity to @entity701 . CONCLUSIONS: We identified 65 genes as biological markers of @entity2270 activation at the gene expression level. These genes might be candidates for a better understanding of the molecular mechanisms of the stress response.

Time course of the response to ACTH in XXXX : biological and transcriptomic study.

@entity1707 :: ('9823', 'Species') :: ['pigs'] @entity68670 :: ('100155423(Tax:9823)', 'Gene') :: ['FKBP5'] @entity39441 :: ('406188(Tax:9823)', 'Gene') :: ['NFKBIA'] @entity68669 :: ('100522469', 'Gene') :: ['DUSP1'] @entity68667 :: ('100152646(Tax:9823)', 'Gene') :: ['peak 1'] @entity56067 :: ('100144503(Tax:9823)', 'Gene') :: ['RHOB'] @entity68672 :: ('100620648', 'Gene') :: ['PER1'] @entity701 :: ('MESH:D006854', 'Chemical') :: ['Cortisol', 'cortisol'] @entity68671 :: ('100271930(Tax:9823)', 'Gene') :: ['IL7R'] @entity68673 :: ('733670(Tax:9823)', 'Gene') :: ['RGS2'] @entity2270 :: ('MESH:C566610', 'Disease') :: ['HPA axis'] @entity68674 :: ('396740(Tax:9823)', 'Gene') :: ['NR3C1'] @entity68668 :: ('100153821(Tax:9823)', 'Gene') :: ['DDIT4']
@entity1707 :: (9823,Species) :: ['pig']
