Literature DB >> 30895797

Untargeted Metabolomics Differentiates l-Carnitine Treated Septic Shock 1-Year Survivors and Nonsurvivors.

Charles R Evans, Alla Karnovsky, Michael A Puskarich1, George Michailidis2, Alan E Jones3, Kathleen A Stringer.   

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.

Entities:  

Keywords:  liquid chromatography−mass spectroscopy; pharmacometabolomics; vascular inflammation

Mesh:

Substances:

Year:  2019        PMID: 30895797      PMCID: PMC6501183          DOI: 10.1021/acs.jproteome.8b00774

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


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Review 1.  Current progress in computational metabolomics.

Authors:  David S Wishart
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Authors:  J L Vincent; R Moreno; J Takala; S Willatts; A De Mendonça; H Bruining; C K Reinhart; P M Suter; L G Thijs
Journal:  Intensive Care Med       Date:  1996-07       Impact factor: 17.440

3.  Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry.

Authors:  Warwick B Dunn; David Broadhurst; Paul Begley; Eva Zelena; Sue Francis-McIntyre; Nadine Anderson; Marie Brown; Joshau D Knowles; Antony Halsall; John N Haselden; Andrew W Nicholls; Ian D Wilson; Douglas B Kell; Royston Goodacre
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Authors:  D R Eyre; M A Paz; P M Gallop
Journal:  Annu Rev Biochem       Date:  1984       Impact factor: 23.643

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7.  Metabolite Profiles in Sepsis: Developing Prognostic Tools Based on the Type of Infection.

Authors:  Sophie Neugebauer; Evangelos J Giamarellos-Bourboulis; Aimilia Pelekanou; Androniki Marioli; Fotini Baziaka; Iraklis Tsangaris; Michael Bauer; Michael Kiehntopf
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Authors:  S Gando; S Nanzaki; S Sasaki; K Aoi; O Kemmotsu
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10.  Septic Shock Nonsurvivors Have Persistently Elevated Acylcarnitines Following Carnitine Supplementation.

Authors:  Michael A Puskarich; Charles R Evans; Alla Karnovsky; Arun K Das; Alan E Jones; Kathleen A Stringer
Journal:  Shock       Date:  2018-04       Impact factor: 3.454

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2.  Using l-Carnitine as a Pharmacologic Probe of the Interpatient and Metabolic Variability of Sepsis.

Authors:  Theodore S Jennaro; Michael A Puskarich; Marc R McCann; Christopher E Gillies; Manjunath P Pai; Alla Karnovsky; Charles R Evans; Alan E Jones; Kathleen A Stringer
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Review 3.  Past Experiences for Future Applications of Metabolomics in Critically Ill Patients with Sepsis and Septic Shocks.

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