Unknown,Transcriptomics,Genomics,Proteomics

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Genomic assessment of stress in the horse

ABSTRACT: Thanks to the sequencing of the equine genome in 2009, it is now possible to perform genomic analyses in the horse. Thus, we propose to assess chronic stress by a transcriptomic approach. Two groups of yearlings were maintained in impoverished (n=9) or enriched (n=10) social and sensory conditions. The transcriptomic analysis was performed in blood cells after 12 weeks of experimentation. Results were analyzed with the program TELiS in order to identify the biological pathways differentiating the 2 groups. The analysis showed an up-regulation of the factors CREB, ATF and GATA in impoverished conditions that could sign the distress of those animals since the same molecular pathway has been detected in socio-environmental adversity in humans. This transcriptomic analysis provides a biological signature of yearling welfare that completes the behavioral analyses and help to evaluate disease risk. Gene expression induced by environmental conditions in horse blood was measured after 12 weeks of experimentation. There were 9 samples for the impoverished conditions and 10 samples for the enriched conditions.

ORGANISM(S): Equus caballus

SUBMITTER: Aline FOURY

PROVIDER: E-GEOD-50623 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Background: Early prognostication is a major challenge after out-of-hospital cardiac arrest (OHCA). Aims: We hypothesized that a genome-wide analysis of blood gene expression could offer new prognostic tools and lines of research. Methods: Sixty-nine patients were enrolled from an ancillary study of the clinical trial NCT00999583 that tested the effect of erythropoietin (EPO) after OHCA. Blood samples were collected in comatose survivors of OHCA at hospital admission and 1 and 3 days after resuscitation. Gene expression profiles were analyzed (Illumina HumanHT-12 V4 BeadChip; >34,000 genes). Patients were classified into two categories representing neurologically favorable outcome (Cerebral Performance Category [CPC] = 1-2) vs unfavorable outcome (CPC>2) at Day 60 after OHCA. Differential and functional enrichment analyses were performed to compare transcriptomic profiles between these two categories. Results: Among the 69 enrolled patients, 33 and 36 patients were treated or not by EPO, respectively. Among them, 42% had a favorable neurological outcome in both groups. EPO did not affect the transcriptomic response at Day-0 and 1 after OHCA. In contrast, 76 transcripts differed at Day-0 between patients with unfavorable vs favorable neurological outcome. This signature persisted at Day-1 after OHCA. Functional enrichment analysis revealed a down-regulation of adaptive immunity with concomitant up-regulation of innate immunity and inflammation in patients with unfavorable vs favorable neurological outcome. The transcription of many genes of the HLA family was decreased in patients with unfavorable vs favorable neurological outcome. Concomitantly, neutrophil activation and inflammation were observed. Up-stream regulators analysis showed the implication of numerous factors involved in cell cycle and damages. A logistic regression including a set of genes allowed a reliable prediction of the clinical outcomes (Specificity=88%; Hit Rate=83%). Conclusions: A transcriptomic signature involving a counterbalance between adaptive and innate immune responses is able to predict neurological outcome very early after hospital admission after OHCA. This deserves confirmation in a larger population.

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Genomic assessment of stress in the horse

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