Predictive biomarkers and metabolic hallmark of postoperative hypoxaemia

Maltesen, Raluca; Hanifa, Munsoor; Kucheryavskiy, Sergey; Pedersen, Shona; Kristensen, Søren Risom; Rasmussen, Bodil Steen; Wimmer, Reinhard

doi:10.1007/s11306-016-1018-5

Cited by 12 publications

(27 citation statements)

References 56 publications

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“…This is in accordance with our previous findings regarding predictive biomarkers of lung injury based on samples collected at 16 h post-CPB30, indicating that the development of hypoxaemia can be predicted earlier than previously thought.…”

Section: Discussionsupporting

confidence: 93%

“…In addition, increased circulating free fatty acids two hours after CABG have been identified as being early signs of postoperative hypoxaemia6. In line with these findings, we have recently shown that it was possible to predict PaO 2 measured on the third day postoperatively from a blood sample collected on the first postoperative morning30. A pattern of disturbed metabolism was observed, of which changes in ketones, amino acids, and lipid metabolism were dominant.…”

supporting

confidence: 67%

“…In addition, several amino acids changed in the postoperative period, probably reflecting impaired protein synthesis, enhanced proteolysis, or decomposition of proteins from skeletal muscles, which are all commonly observed after surgical trauma43. Changes may also be a result of various anti-inflammatory and volume regulating functions of specific amino acids as previously described30. It is worth mentioning that on the second and third postoperative day patients received nutritional support, and hence, some of the changes observed at a later time point may have been affected by nutrition.…”

Section: Discussionmentioning

confidence: 84%

“…These signals were matched to The Human Metabolome Database40, Bruker BBIOrefcode Database (v. 2.7.0), and literature305354.…”

Section: Methodsmentioning

confidence: 99%

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Metabotyping Patients’ Journeys Reveals Early Predisposition to Lung Injury after Cardiac Surgery

Maltesen

Rasmussen

Pedersen

et al. 2017

Sci Rep

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Cardiovascular disease is the leading cause of death worldwide and patients with severe symptoms undergo cardiac surgery. Even after uncomplicated surgeries, some patients experience postoperative complications such as lung injury. We hypothesized that the procedure elicits metabolic activity that can be related to the disease progression, which is commonly observed two-three days postoperatively. More than 700 blood samples were collected from 50 patients at nine time points pre-, intra-, and postoperatively. Dramatic metabolite shifts were observed during and immediately after the intervention. Prolonged surgical stress was linked to an augmented anaerobic environment. Time series analysis showed shifts in purine-, nicotinic acid-, tyrosine-, hyaluronic acid-, ketone-, fatty acid, and lipid metabolism. A characteristic ‘metabolic biosignature’ was identified correlating with the risk of developing postoperative complications two days before the first clinical signs of lung injury. Hence, this study demonstrates the link between intra- and postoperative time-dependent metabolite changes and later postoperative outcome. In addition, the results indicate that metabotyping patients’ journeys early, during or just after the end of surgery, may have potential impact in hospitals for the early diagnosis of postoperative lung injury, and for the monitoring of therapeutics targeting disease progression.

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Section: Discussionsupporting

confidence: 93%

supporting

confidence: 67%

Section: Discussionmentioning

confidence: 84%

“…These signals were matched to The Human Metabolome Database40, Bruker BBIOrefcode Database (v. 2.7.0), and literature305354.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Metabotyping Patients’ Journeys Reveals Early Predisposition to Lung Injury after Cardiac Surgery

Maltesen

Rasmussen

Pedersen

et al. 2017

Sci Rep

Self Cite

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“…For all tests, class separations were considered significant at p 0.05. In addition, partial least squares-regression models were constructed to identify possible covariance between the mucus metabolites (X-variables) and the various biological endpoints measured by Cavallin et al [9], each used individually as a single Y-variable per model [16,17]. Targeted data from Cavallin et al [9] were log-transformed, meancentered, and scaled to unit variance.…”

Section: Statistical Analysesmentioning

confidence: 99%

High‐resolution mass spectrometry of skin mucus for monitoring physiological impacts and contaminant biotransformation products in fathead minnows exposed to wastewater effluent

Mosley

Ekman

Cavallin

et al. 2017

Enviro Toxic and Chemistry

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High-resolution mass spectrometry is advantageous for monitoring physiological impacts and contaminant biotransformation products in fish exposed to complex wastewater effluent. We evaluated this technique using skin mucus from male and female fathead minnows (Pimephales promelas) exposed to control water or treated wastewater effluent at 5, 20, and 100% levels for 21 d, using an on-site, flow-through system providing real-time exposure. Both sex-specific and non-sex-specific responses were observed in the mucus metabolome, the latter suggesting the induction of general compensatory pathways for xenobiotic exposures. Altogether, 85 statistically significant treatment-dependent metabolite changes were observed out of the 310 total endogenous metabolites that were detected (156 of the 310 were annotated). Partial least squares-regression models revealed strong covariances between the mucus metabolomes and up-regulated hepatic messenger ribonucleic acid (mRNA) transcripts reported previously for these same fish. These regression models suggest that mucus metabolomic changes reflected, in part, processes by which the fish biotransformed xenobiotics in the effluent. In keeping with this observation, we detected a phase II transformation product of bisphenol A in the skin mucus of male fish. Collectively, these findings demonstrate the utility of mucus as a minimally invasive matrix for simultaneously assessing exposures and effects of environmentally relevant mixtures of contaminants. Environ Toxicol Chem 2018;37:788-796. Published 2017 Wiley Periodicals Inc. on behalf of SETAC. This article is a US government work and, as such, is in the public domain in the United States of America.

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Pharmacometabonomics: The Prediction of Drug Effects Using Metabolic Profiling

Everett

2019

Concepts and Principles of Pharmacology

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Metabonomics, also known as metabolomics, is concerned with the study of metabolite profiles in humans, animals, plants and other systems in order to assess their health or other status and their responses to experimental interventions. Metabonomics is thus widely used in disease diagnosis and in understanding responses to therapies such as drug administration. Pharmacometabonomics, also known as pharmacometabolomics, is a related methodology but with a prognostic as opposed to diagnostic thrust. Pharmacometabonomics aims to predict drug effects including efficacy, safety, metabolism and pharmacokinetics, prior to drug administration, via an analysis of pre-dose metabolite profiles. This article will review the development of pharmacometabonomics as a new field of science that has much promise in helping to deliver more effective personalised medicine, a major goal of 21 st century healthcare.

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Predictive biomarkers and metabolic hallmark of postoperative hypoxaemia

Cited by 12 publications

References 56 publications

Metabotyping Patients’ Journeys Reveals Early Predisposition to Lung Injury after Cardiac Surgery

Metabotyping Patients’ Journeys Reveals Early Predisposition to Lung Injury after Cardiac Surgery

High‐resolution mass spectrometry of skin mucus for monitoring physiological impacts and contaminant biotransformation products in fathead minnows exposed to wastewater effluent

Pharmacometabonomics: The Prediction of Drug Effects Using Metabolic Profiling

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