Predictive biomarkers and metabolic hallmark of postoperative hypoxaemia
Autor: | Shona Pedersen, Reinhard Wimmer, Bodil Steen Rasmussen, Raluca Maltesen, Munsoor Hanifa, Søren Risom Kristensen, Sergey Kucheryavskiy |
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Rok vydání: | 2016 |
Předmět: |
0301 basic medicine
medicine.medical_specialty Endocrinology Diabetes and Metabolism Clinical Biochemistry Disease medicine.disease_cause Biochemistry Pathogenesis 03 medical and health sciences 0302 clinical medicine Internal medicine medicine.artery medicine Metabolome Lung business.industry Cardiac surgery 030104 developmental biology medicine.anatomical_structure 030228 respiratory system Pulmonary artery cardiovascular system Cardiology Complication business Oxidative stress |
Zdroj: | Maltesen, R G, Hanifa, M, Kucheryavskiy, S, Pedersen, S, Kristensen, S R, Rasmussen, B S & Wimmer, R 2016, ' Predictive biomarkers and metabolic hallmark of postoperative hypoxaemia ', Metabolomics, vol. 12, no. 5, 87 . https://doi.org/10.1007/s11306-016-1018-5 |
ISSN: | 1573-3890 1573-3882 |
DOI: | 10.1007/s11306-016-1018-5 |
Popis: | Pulmonary dysfunctions resulting in postoperative hypoxaemia is a common complication of cardiac surgery. The disease is challenging as it lacks predictive biomarkers. Since a comprehensive metabolic overview of lung microvasculature injury is lacking, we have compared the metabolome of patients undergoing cardiac surgery from blood collected on the first postoperative day from the pulmonary artery and left atrium. To identify predictive biomarkers and metabolic hallmark of pulmonary hypoxaemia. Blood samples collected on the first postoperative morning from 47 patients were analysed by nuclear magnetic resonance and multivariate statistics. Patients’ metabolomes were correlated to the level of partial pressure of arterial oxygen (PaO2) without supplementary oxygen treatment measured on the third postoperative day. Three days postoperatively, 32 patients suffered from hypoxaemia. Spectra recorded on samples collected on the first morning postoperatively revealed metabolic perturbations causing disease progressing. Regression modelling found a 0.97 association between metabolome and PaO2. Classification modelling distinguished patients according to later hypoxaemia. Sixty-four metabolites were identified as the early hallmarks of disease, of which several showed significant correlations with PaO2 (r > 0.55, p ≤ 0.00001). The tricarboxylic acid cycle, amino acid and lipid metabolism, together with redox homeostasis were all found affected. An integrated overview reveals complex cross-talk between pathways that can be related to the pathogenesis of hypoxaemia: damaged alveolar-capillary barrier, edema formation, peroxidation, oxidative stress, impaired antioxidant defense, and cell damage. Our results indicate unique phenotypes triggering progression into pulmonary dysfunction resulting in postoperative hypoxaemia. The metabolic hallmarks identified offer important targets for future treatments. |
Databáze: | OpenAIRE |
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