Abstract

Sapru et al. show in this issue of Critical Care that variants of thrombomodulin and the endothelial protein C receptor, but not protein C, are associated with mortality and organ dysfunction (ventilation-free and organ failure-free days) in ARDS. Hundreds of gene variants have been found prognostic in sepsis. However, none of these prognostic genomic biomarkers are used clinically. Predictive biomarker discovery (pharmacogenomics) usually follows a candidate gene approach, utilizing knowledge of drug pathways. Pharmacogenomics could be applied to enhance efficacy and safety of drugs used for treatment of sepsis (e.g., norepinephrine, epinephrine, vasopressin, and corticosteroids). Pharmacogenomics can enhance drug development in sepsis, which is very important because there is no approved drug for sepsis. Pharmacogenomics biomarkers must pass three milestones: scientific, regulatory, and commercial. Huge challenges remain but great opportunities for pharmacogenomics of sepsis are on the horizon.

Highlights

  • Sapru et al show in this issue of Critical Care that variants of thrombomodulin and the endothelial protein C receptor, but not protein C, are associated with mortality and organ dysfunction in ARDS

  • This issue of Critical Care presents a novel human genomics study showing that variants of thrombomodulin (TM) and the endothelial protein C receptor (EPCR), but not protein C, are associated with mortality and organ dysfunction in ARDS—that is, they are prognostic biomarkers [1]

  • Sepsis has gone through 15 years of discovery of many genomic biomarkers [2, 3]

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Summary

Introduction

Sapru et al show in this issue of Critical Care that variants of thrombomodulin and the endothelial protein C receptor, but not protein C, are associated with mortality and organ dysfunction (ventilation-free and organ failure-free days) in ARDS. Let us define some terminology: a prognostic biomarker identifies prognosis (e.g., increased risk of death); a diagnostic biomarker diagnoses condition (e.g., sepsis diagnostic); and a predictive biomarker (companion diagnostic) uses genomics to define response to a drug

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