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The Tip of the Iceberg: Pathway Biology Must Anchor the Next Generation of Critical Care Trials
Logan R Van Nynatten1, Douglas D Fraser2, Tristan Look-Hong1
1Division of Critical Care Medicine, Western University, London, ON, Canada.
Abstract:
Heterogeneity of treatment effect has yielded decades of negative critical care trials. Syndromic diagnoses like sepsis and acute respiratory distress syndrome mask distinct molecular programs that respond differently to the same intervention, and single biomarkers lack the resolution to capture this complexity. Recent evidence now demonstrates that each step of the enrichment pipeline, from real-time bedside endotyping to prospective endotype-matched therapy, is clinically operational. However, current approaches rely on limited biomarker panels that capture only surface-level biology. Pathway biology, examining coordinated dysregulation of molecular networks rather than isolated analytes, offers the deeper resolution needed to match patients to targeted therapies. We propose a translational pipeline integrating multiomics, pathway analysis, machine learning, and point-of-care assays to advance critical care toward pathway-focused predictive enrichment.
Insights
Critical care trials often fail due to patient heterogeneity. This study proposes a new pathway-focused approach using multiomics and machine learning to precisely match patients with targeted therapies for better outcomes.
Area of Science:
- Critical care medicine
- Translational research
- Precision medicine
Background:
- Treatment effect heterogeneity is a major challenge in critical care research, leading to numerous failed clinical trials.
- Current syndromic diagnoses (e.g., sepsis) and limited biomarker panels fail to capture the molecular complexity and distinct patient responses to interventions.
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