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Pharmacogenomics and end-organ susceptibility to injury in the perioperative period,

https://doi.org/10.1016/j.bpa.2007.09.005Get rights and content

Genomic medicine has provided new mechanistic understanding for many complex diseases over the last 5–10 years. More recently genomic approaches have been applied to the perioperative paradigm, facilitating identification of patients at high risk for adverse events, as well as those who will respond better/worse to specific pharmacologic therapies. The consistent biological theme emerging is that while inflammation is important in healing from surgical trauma, patients who are too robustly proinflammatory appear to be at higher risk for adverse perioperative events. Precise predictors of each adverse event are being elucidated so that corrective therapeutics can be instituted to improve outcomes in high-risk patients. While the field of perioperative genomics could be considered in its infancy, such approaches are the wave of the future.

Introduction

The ability to identify patients at high risk for perioperative and peri-procedure adverse events is critical so that interventions can be identified that optimize outcome. Over 40 million patients undergo surgery annually in the U.S., resulting in costs of $450 billion per year1, a number which continues to rise with the aging population world-wide. The operating room is a unique setting where acute, robust, and generalized proinflammatory cascades are initiated on a reproducible basis (see perioperative physiology discussion below). An advantage of using a robust surgical perturbation to elucidate novel mechanisms underlying perioperative adverse events is that the surgical stressor is usually elective, predictable (occurs on the day of surgery), graded (magnitude of insult increases with length of surgery, cardiopulmonary bypass [CPB] and/or aortic cross-clamp or other ischemia/reperfusion injury), adverse cardiovascular outcomes peak within days (e.g. perioperative myocardial ischemia/infarction peaks on postoperative day 1–2), sufficiently common to be studied (e.g. 7–15% of cardiac surgery patients have perioperative myocardial ischemia/injury*2, *3), and patients are routinely invasively monitored and treated using routes that facilitate obtaining unique human specimens (e.g. arterial and coronary sinus blood, human atrium, adipose tissue, etc.). These characteristics make the surgical environmental a unique perturbation capable of revealing latent phenotypes and mechanisms underlying acute perioperative adverse events.

Despite advances in surgical, anesthetic, and cardioprotective strategies, the incidence of perioperative adverse events continues to be significant, and is associated with reduced short and long-term survival.4 Since all surgical patients are exposed to perturbations that potentially activate inflammation, coagulation, and other stress-related pathways, but only a subset experience adverse perioperative events (even after controlling for co-existent disease), a genetic component is likely involved. To explore this further, the next sections will review general genetic/genomic concepts, complex physiologic pathways activated during surgery, generalizability of the perioperative physiology paradigm, effects of genetic variability on such physiology, and finally data associating genetic variants related to adverse perioperative events.

Section snippets

Genetic and genomic analysis

In simplistic terms, genetics refers to gene variants in DNA. Single nucleotide polymorphisms (SNPs) are DNA variants that alter a single nucleotide in the sequence of DNA. Often SNPs travel in groups together in genes, a concept called a haplotype block. Other DNA variants include insertions and/or deletions of “chunks” of DNA as well. DNA variants may be transcribed into altered RNA sequences and/or alter levels of otherwise “normal” RNA, findings that can be determined using traditional

Perioperative physiology

Anesthetized surgery patients undergo physical trauma, including events such as skin incision, vascular cannulation, and excision of partial/total organs (Figure 2). In cardiac surgery, cannulation is required so that venous blood returning from the body to the heart is able to drain passively to the CPB machine, from whence oxygenated blood is then pumped back to the aorta. Atriotomy alone has been shown to induce right atrial edema5, accompanied by 2-fold increase in myeloperoxidase (MPO)

Generalizability of the perioperative paradigm

Studies of exhaustive exercise and sepsis suggest perioperative studies in “healthy” individuals provide an excellent environment where new mechanisms of human physiology can be explored. As a model of exhaustive exercise, half-marathon runners have been examined at baseline (prior to a race), immediately after the race, and 24 hours later, with blood and urine examined for inflammatory markers. Peripheral mononuclear blood cells have been examined using a microarray approach, with upregulation

Genomic variability and complex disease

As stated above, one feature of perioperative physiology is striking variability in patient response to perioperative perturbations. Studies are mounting suggesting that genetic variation can significantly affect an individual's risk of adverse perioperative events.46, 47, 48 Perioperative genomics is a new field that uses functional genomic approaches to discovering underlying biological mechanisms that explain why similar patients have dramatically different outcomes after surgery.49

In this

Genetics and adverse perioperative outcomes

The Duke Perioperative Genomics investigative team initiated a prospective study called Perioperative Genomics And Safety Study, U.S., or PEGASUS, in 2001. In recent years, broader multi-institutional perioperative genomics groups have been formed in the US (PeriGReN) and internationally (iPEGASUS). The goal of the PEGASUS group of investigators is to use genetic variability to determine which individuals are at risk for adverse events after surgery. This initiative not only solidified ongoing

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    Funding:

    Funding was provided in part by the U.S. National Institutes of Health grant #HL075273.

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