Abstract
BACKGROUND: The Organism often responds in complex ways to stimuli that cause disease or injury. The analysis of singular diagnostic parameters gives often an incomplete picture of the pathophysiological state of the patient offering an unsafe basis for decision-making of the clinician. METHODS: This review explores whether OMICS technologies are suited to get more useful information. RESULTS: By measuring and mathematically modelling disease-related changes at the level of whole molecular classes such as DNA, mRNA, proteins or metabolites found in fluids or tissue, OMICS technologies offer a holistic overview on the molecular events in the body. They enable us to characterise disease-specific pattern that comprise many individual mRNAs or proteins, none of which could independently differentiate diseased from healthy individuals. RESULTS AND CONCLUSIONS: The present review gives an introduction in these novel technologies, describes their strengths and drawbacks and summarises already published OMICS-based studies in surgical research.
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