Targeted metabolomics for discrimination of systemic inflammatory disorders in critically ill patients

Schmerler, Diana; Neugebauer, Sophie; Ludewig, Katrin; Bremer-Streck, Sibylle; Brunkhorst, Frank M.; Kiehntopf, Michael

doi:10.1194/jlr.p023309

Cited by 118 publications

(101 citation statements)

References 29 publications

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“…Lin et al suggest that the increase in acetoacetate and hydroxybutyrate in septic rats may be correlated with major oxidation of fatty acids. As the major source of energy, fatty acid oxidation is significantly enhanced to meet the energy requirement [13], and ketone bodies, which are important products of fatty acid oxidation, increase and accumulate accordingly [10]. Lactate and glucose were also found to have increased in the urine of septic patients compared to controls both in our study and other works [8,10,12,14] while citrate, a metabolite of the Krebs cycle, had decreased.…”

Section: Discussionsupporting

confidence: 65%

Urinary 1H-NMR and GC-MS metabolomics predicts early and late onset neonatal sepsis

Fanos¹,

Caboni²,

Corsello³

et al. 2014

Early Human Development

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The purpose of this article is to study one of the most significant causes of neonatal morbidity and mortality: neonatal sepsis. This pathology is due to a bacterial or fungal infection acquired during the perinatal period. Neonatal sepsis has been categorized into two groups: early onset if it occurs within 3-6 days and late onset after 4-7 days. Due to the not-specific clinical signs, along with the inaccuracy of available biomarkers, the diagnosis is still a major challenge. In this regard, the use of a combined approach based on both nuclear magnetic resonance ( 1 H-NMR) and gas-chromatography-mass spectrometry (GC-MS) techniques, coupled with a multivariate statistical analysis, may help to uncover features of the disease that are still hidden. The objective of our study was to evaluate the capability of the metabolomics approach to identify a potential metabolic profile related to the neonatal septic condition. The study population included 25 neonates (15 males and 10 females): 9 (6 males and 3 females) patients had a diagnosis of sepsis and 16 were healthy controls (9 males and 7 females). This study showed a unique metabolic profile of the patients affected by sepsis compared to non-affected ones with a statistically significant difference between the two groups (p = 0.05).

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Section: Discussionsupporting

confidence: 65%

Urinary 1H-NMR and GC-MS metabolomics predicts early and late onset neonatal sepsis

Fanos¹,

Caboni²,

Corsello³

et al. 2014

Early Human Development

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“…Metabolites were extracted and concentrations were assessed using the AbsoluteIDQ kit p180 (Biocrates Life Science AG, Austria) following the manufacturers protocol for the API5500 LC-MS/MS System (AB SCIEX) running with Analyst 1.5.2 software equipped with an electrospray ionization source, a Shimadzu CBM-20A command module, LC-20AB pump, and a Shimadzu SIL-20AC-HT autosampler and a CTO-10Ac column oven heater (15,16 …”

Section: Plasma Metabolitesmentioning

confidence: 99%

“…However, very little research has focused on the identification of metabolic biomarkers for poor muscle mass and strength in older adults (11). Here we report the findings of a pilot cross-sectional, nested case-control study using a targeted metabolomics approach, where the concentrations of 180 metabolites belonging to six classes (amino acids, biogenic amines, amino acid metabolites, acyl carnitines, glycerolphospholipids, sphingomyelins, and glucose) were determined by LC MS/MS, using the Biocrates p180 system (15,16). In particular, we contrasted plasma metabolites concentrations between 79 participants with low muscle quality ratio versus 79 controls with high muscle quality who were matched by age, sex, and height.…”

mentioning

confidence: 99%

“…It is assumed that the biological pathways leading to pathologic conditions causes altered concentrations of specific metabolites and that studying a subset of these metabolites may offer important clues on the pathophysiology of these conditions. Indeed, metabolomics has been recently used for the identification of novel biomarkers and the elucidation of novel biological pathways for a variety of diseases (15,17). For example, Collino and co-workers studied the metabolic phenotype of longevity by comparing the metabolomics profile of centenarians, elderly, and young people (18,19).…”

mentioning

confidence: 99%

“…Metabolomics, unlike the other -omics, provides a direct signature of the metabolic state of the organism (12)(13)(14). Recent advances in mass spectrometry allow the simultaneous analysis of hundreds of metabolites from small amounts of biological material (15,16). It is assumed that the biological pathways leading to pathologic conditions causes altered concentrations of specific metabolites and that studying a subset of these metabolites may offer important clues on the pathophysiology of these conditions.…”

mentioning

confidence: 99%

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Plasma Biomarkers of Poor Muscle Quality in Older Men and Women from the Baltimore Longitudinal Study of Aging

Moaddel

Fabbri

Khadeer

et al. 2016

GERONA

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Aging is characterized by progressive decline in muscle mass, strength, and quality all of which contribute to functional impairment, falls, mobility disability, and frailty. Circulating factors may provide clues on the mechanisms for decline in muscle quality with aging. Characterizing the metabolic profile associated with reduced muscle quality in older persons could have important translational implications for the early identification of subjects at high risk of developing sarcopenia and the identification of targets for new preventive strategies and treatments. In a pilot cross-sectional, case-control study nested in the Baltimore Longitudinal Study on Aging, we compared circulating metabolites between 79 participants with low muscle quality ratio and 79 controls with high muscle quality, matched by age, sex, and height. The concentrations of 180 metabolites were determined by LC MS/MS, using the Biocrates p180 system, a targeted metabolomics approach. Participants with low muscle quality had significantly higher levels of leucine, isoleucine, tryptophan, serotonin, and methionine, while those with high muscle quality had significantly lower levels of putrescine and the selected phophatidylcholine (PCs) and lysoPCs. The results of this study open a new road for future investigations aimed at identifying new metabolic pathways involved in the decline of muscle quality with aging.

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Sepsis

Shankar-Hari

Singer

2017

Inflammation - From Molecular and Cellular Mechanisms to the Clinic

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Targeted metabolomics for discrimination of systemic inflammatory disorders in critically ill patients

Abstract: Abbreviations: AUC, area under the curve; FIA, fl ow injection analysis; LPS, lipopolysaccharide; MCAD, medium chain acyl CoA dehydrogenase; PC, phosphatidylcholine; SIRS, systemic infl ammatory response syndrome.

Cited by 118 publications

References 29 publications

Urinary 1H-NMR and GC-MS metabolomics predicts early and late onset neonatal sepsis

Urinary 1H-NMR and GC-MS metabolomics predicts early and late onset neonatal sepsis

Plasma Biomarkers of Poor Muscle Quality in Older Men and Women from the Baltimore Longitudinal Study of Aging

Sepsis

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