ARDS metabolic fingerprints: characterization, benchmarking, and potential mechanistic interpretation

Area of Science:

• Metabolomics
• Systems Biology
• Critical Care Medicine

Background:

• Acute Respiratory Distress Syndrome (ARDS) is a critical illness with complex pathophysiology.
• Understanding ARDS heterogeneity is crucial for targeted therapies.
• Metabolomic approaches offer a novel lens to investigate biological processes in ARDS.

Purpose of the Study:

• To identify unique metabolic fingerprints of ARDS.
• To compare metabolic profiles across ARDS subphenotypes (direct/indirect, hypoinflammatory/hyperinflammatory).
• To differentiate ARDS from other intensive care unit (ICU) conditions using metabolomics.

Main Methods:

• Analysis of serum samples from ARDS patients (n=108) and ICU controls (n=27) using 1H NMR and GC-MS.
• Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) for metabolite and cytokine selection.
• Longitudinal tracking of metabolite changes during ARDS progression and recovery.

Main Results:

• Metabolic profiles effectively distinguished ARDS from ICU controls, comparable to protein/cytokine analysis.
• Pathway analysis revealed significant involvement of serine-glycine metabolism in ARDS.
• Distinct metabolic signatures were observed for direct vs. indirect and hypoinflammatory vs. hyperinflammatory ARDS subgroups.

Conclusions:

• Patients with ARDS exhibit distinct metabolic profiles compared to general ICU controls.
• Metabolomics can identify distinct ARDS subphenotypes and clinical subgroups.
• Identified metabolic fingerprints require further research for diagnostic biomarker potential.