Septic shock, acute respiratory distress syndrome,
acute renal and hepatic failure, myocardial dysfunction, coagulopathy,
encephalopathy: these are some of the life-threatening responses
to severe infection or traumatic injury facing patients and intensivists. Alone
and cumulatively, each of these conditions increases the risk of
death even after successful treatment of the underlying infection
or injury. Mounting evidence points to the central role
of the host's own inflammatory responses in the development of
these syndromes. Yet despite substantial effort, treatment
approaches directed at a single mediator or inflammatory pathway
have had little success in altering outcomes of critically ill
patients. It is clear that a more global understanding of
complex biological systems is needed to advance care in this area
and to reduce the currently substantial load of morbidity and mortality. Genomic
technologies offer the potential to move in this direction.
Recent advances in computational biology and high-throughput technologies
are enabling scientists to examine complex biological conditions
in unprecedented detail, to view and interpret them at multiple levels,
and thus have a better chance at capturing the interactive, emergent
properties of adaptive and maladaptive host responses. In
the specific case of critical illness, these technologies offer the
potential to define maladaptive programs of gene expression induced
by infection, trauma, or other inflammatory triggers and to detect
biomarkers and genetic polymorphisms associated with these responses.
These same tools also provide an important means to discover novel
gene functions and relationships and to identify potential therapeutic
targets.
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