Genome-wide transcriptional profiling linked to social class in asthma.
OBJECTIVE
Low socioeconomic status (SES) is one of the most robust social factors associated with disease morbidity, including more severe asthma in childhood. However, our understanding of the biological processes that explain this link is limited. This study tested whether the social environment could get "under the skin" to alter genomic activity in children with asthma.


METHODS
Two group design of children with physician diagnosed asthma who came from low or high SES families.


RESULTS
Genome-wide transcriptional profiles from T lymphocytes of children with asthma.


RESULTS
Children with asthma from a low SES background showed overexpression of genes regulating inflammatory processes, including those involved in chemokine activity, stress responses and wound responses, compared with children with asthma from a high SES background. Bioinformatic analysis suggested that decreased activity of cyclic AMP response element binding protein and nuclear factor Y and increased nuclear factor kappaB transcriptional signalling mediated these effects. These pathways are known to regulate catecholamine and inflammatory signalling in immune cells.


CONCLUSIONS
This study provides the first evidence in a sample of paediatric patients diagnosed with asthma that the larger social environment can affect processes at the genomic level. Specifically, gene transcription control pathways that regulate inflammation and catecholamine signalling were found to vary by SES in children with asthma. Because these pathways are the primary targets of many asthma medications, these findings suggest that the larger social environment may alter molecular mechanisms that have implications for the efficacy of asthma therapeutics.
Chen
E
E
University of British Columbia, Department of Psychology, Vancouver, British Columbia, Canada. echen@psych.ubc.ca
Miller
G E
GE
Walker
H A
HA
Arevalo
J M
JM
Sung
C Y
CY
Cole
S W
SW
D001249:Asthma / Q000235:genetics*; D002648:Child; D005260:Female; D020869:Gene Expression Profiling; D015894:Genome, Human / Q000235:genetics*; D006801:Humans; D008297:Male; D011379:Prognosis; D012923:Social Class; D014158:Transcription, Genetic / Q000235:genetics*