AI Article Synopsis

  • l-Carnitine shows potential as a treatment for septic shock, a severe condition with high mortality rates, and its effectiveness might depend on specific metabolic profiles.
  • Researchers conducted a metabolomic analysis on serum from sepsis patients to identify differences between 1-year survivors and nonsurvivors.
  • The study identified 63 metabolites linked to treatment outcomes, revealing that nonsurvivors had elevated markers of vascular inflammation, suggesting metabolic profiling could help predict responses to l-carnitine therapy.

Article Abstract

l-Carnitine is a candidate therapeutic for the treatment of septic shock, a condition that carries a ≥40% mortality. Responsiveness to l-carnitine may hinge on unique metabolic profiles that are not evident from the clinical phenotype. To define these profiles, we performed an untargeted metabolomic analysis of serum from 21 male sepsis patients enrolled in a placebo-controlled l-carnitine clinical trial. Although treatment with l-carnitine is known to induce changes in the sepsis metabolome, we found a distinct set of metabolites that differentiated 1-year survivors from nonsurvivors. Following feature alignment, we employed a new and innovative data reduction strategy followed by false discovery correction, and identified 63 metabolites that differentiated carnitine-treated 1-year survivors versus nonsurvivors. Following identification by MS/MS and database search, several metabolite markers of vascular inflammation were determined to be prominently elevated in the carnitine-treated nonsurvivor cohort, including fibrinopeptide A, allysine, and histamine. While preliminary, these results corroborate that metabolic profiles may be useful to differentiate l-carnitine treatment responsiveness. Furthermore, these data show that the metabolic signature of l-carnitine-treated nonsurvivors is associated with a severity of illness (e.g., vascular inflammation) that is not routinely clinically detected.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6501183PMC
http://dx.doi.org/10.1021/acs.jproteome.8b00774DOI Listing

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