Sepsis Clinical Trial
Official title:
Hypoxia Inducible Factor 1 Alpha as a Novel Biomarker in Septic Shock
The purpose of this research study is to determine if a chemical marker in the blood, hypoxia-inducible factor (HIF-1 alpha), can be used to predict subject's hospital outcomes when the subject is diagnosed with sepsis. Sepsis is defined as either the presence of pathogenic organisms or their toxins in the blood and tissues. Sepsis is one of the most significant challenges in critical care medicine. The investigators propose that hypoxia-induced expression of HIF-1 alpha will correlate with the clinical features of Sepsis and in the future, HIF-1 alpha may be used as a biomarker in Sepsis.
Sepsis is one of the most significant challenges in critical care. Septic shock (SS) is the
most severe form of sepsis and is associated with higher mortality, significant financial
expenses and longer lengths of stay. Pathophysiological mechanisms of SS include 3 key
components: 1) bacterial overgrowth, 2) spill of bacterial product into the blood causing
hemodynamic insufficiency, and 3) both lead to tissue hypoxia (TH). To date the biomarkers
of sepsis/SS are limited to hemodynamic parameters. However, aggressive fluid resuscitation
does not fully prevent development of tissue hypoxia (TH). To date the investigators are
limited in appreciating TH by measurement of lactic acid (LA), which is neither an early nor
an accurate marker. Unfortunately, LA has limited predictive value in SS due to its complex
metabolism. Thus, there is an acute need for biomarkers that would aid diagnosis and
prognosis of sepsis/septic shock.
Cellular responses/adaptations to hypoxia rely on the transcription hypoxia-inducible factor
HIF, a heterodimeric protein composed of a constitutively expressed subunit and an inducible
(types 1, 2, and 3) subunit. More recently HIF was identified in diverse tissues including
blood; it has been also shown that HIF expression in blood cells is representative of
systemic tissues in hypoxic conditions.
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Observational Model: Case Control, Time Perspective: Prospective
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