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Metabolomic Fingerprinting of Infants Undergoing Cardiopulmonary Bypass: Changes in Metabolic Pathways and Association With Mortality and Cardiac Intensive Care Unit Length of Stay

BACKGROUND: Mortality for infants undergoing complex cardiac surgery is >10% with a 30% to 40% risk of complications. Early identification and treatment of high‐risk infants remains challenging. Metabolites are small molecules that determine the minute‐to‐minute cellular phenotype, making them id...

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Autores principales: Davidson, Jesse A., Pfeifer, Zachary, Frank, Benjamin, Tong, Suhong, Urban, Tracy T., Wischmeyer, Paul A., Mourani, Peter, Landeck, Bruce, Christians, Uwe, Klawitter, Jelena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6405618/
https://www.ncbi.nlm.nih.gov/pubmed/30561257
http://dx.doi.org/10.1161/JAHA.118.010711
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author Davidson, Jesse A.
Pfeifer, Zachary
Frank, Benjamin
Tong, Suhong
Urban, Tracy T.
Wischmeyer, Paul A.
Mourani, Peter
Landeck, Bruce
Christians, Uwe
Klawitter, Jelena
author_facet Davidson, Jesse A.
Pfeifer, Zachary
Frank, Benjamin
Tong, Suhong
Urban, Tracy T.
Wischmeyer, Paul A.
Mourani, Peter
Landeck, Bruce
Christians, Uwe
Klawitter, Jelena
author_sort Davidson, Jesse A.
collection PubMed
description BACKGROUND: Mortality for infants undergoing complex cardiac surgery is >10% with a 30% to 40% risk of complications. Early identification and treatment of high‐risk infants remains challenging. Metabolites are small molecules that determine the minute‐to‐minute cellular phenotype, making them ideal biomarkers for postsurgical monitoring and potential targets for intervention. METHODS AND RESULTS: We measured 165 serum metabolites by tandem mass spectroscopy in infants ≤120 days old undergoing cardiopulmonary bypass. Samples were collected prebypass, during rewarming, and 24 hours after surgery. Partial least squares–discriminant analysis, pathway analysis, and receiver operator characteristic curve analysis were used to evaluate changes in the metabolome, assess altered metabolic pathways, and discriminate between survivors/nonsurvivors as well as upper/lower 50% intensive care unit length of stay. Eighty‐two infants had preoperative samples for analysis; 57 also had rewarming and 24‐hour samples. Preoperation, the metabolic fingerprint of neonates differed from older infants (R (2)=0.89, Q(2)=0.77; P<0.001). Cardiopulmonary bypass resulted in progressive, age‐independent metabolic disturbance (R (2)=0.92, Q(2)=0.83; P<0.001). Multiple pathways demonstrated changes, with arginine/proline (P=1.2×10(−35)), glutathione (P=3.3×10(−39)), and alanine/aspartate/glutamate (P=1.4×10(−26)) metabolism most affected. Six subjects died. Nonsurvivors demonstrated altered aspartate (P=0.007) and nicotinate/nicotinamide metabolism (P=0.005). The combination of 24‐hour aspartate and methylnicotinamide identified nonsurvivors versus survivors (area under the curve, 0.86; P<0.01), as well as upper/lower 50% intensive care unit length of stay (area under the curve, 0.89; P<0.01). CONCLUSIONS: The preoperative metabolic fingerprint of neonates differed from older infants. Large metabolic shifts occurred after cardiopulmonary bypass, independent of age. Nonsurvivors and subjects requiring longer intensive care unit length of stay showed distinct changes in metabolism. Specific metabolites, including aspartate and methylnicotinamide, may differentiate sicker patients from those experiencing a more benign course.
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spelling pubmed-64056182019-03-19 Metabolomic Fingerprinting of Infants Undergoing Cardiopulmonary Bypass: Changes in Metabolic Pathways and Association With Mortality and Cardiac Intensive Care Unit Length of Stay Davidson, Jesse A. Pfeifer, Zachary Frank, Benjamin Tong, Suhong Urban, Tracy T. Wischmeyer, Paul A. Mourani, Peter Landeck, Bruce Christians, Uwe Klawitter, Jelena J Am Heart Assoc Original Research BACKGROUND: Mortality for infants undergoing complex cardiac surgery is >10% with a 30% to 40% risk of complications. Early identification and treatment of high‐risk infants remains challenging. Metabolites are small molecules that determine the minute‐to‐minute cellular phenotype, making them ideal biomarkers for postsurgical monitoring and potential targets for intervention. METHODS AND RESULTS: We measured 165 serum metabolites by tandem mass spectroscopy in infants ≤120 days old undergoing cardiopulmonary bypass. Samples were collected prebypass, during rewarming, and 24 hours after surgery. Partial least squares–discriminant analysis, pathway analysis, and receiver operator characteristic curve analysis were used to evaluate changes in the metabolome, assess altered metabolic pathways, and discriminate between survivors/nonsurvivors as well as upper/lower 50% intensive care unit length of stay. Eighty‐two infants had preoperative samples for analysis; 57 also had rewarming and 24‐hour samples. Preoperation, the metabolic fingerprint of neonates differed from older infants (R (2)=0.89, Q(2)=0.77; P<0.001). Cardiopulmonary bypass resulted in progressive, age‐independent metabolic disturbance (R (2)=0.92, Q(2)=0.83; P<0.001). Multiple pathways demonstrated changes, with arginine/proline (P=1.2×10(−35)), glutathione (P=3.3×10(−39)), and alanine/aspartate/glutamate (P=1.4×10(−26)) metabolism most affected. Six subjects died. Nonsurvivors demonstrated altered aspartate (P=0.007) and nicotinate/nicotinamide metabolism (P=0.005). The combination of 24‐hour aspartate and methylnicotinamide identified nonsurvivors versus survivors (area under the curve, 0.86; P<0.01), as well as upper/lower 50% intensive care unit length of stay (area under the curve, 0.89; P<0.01). CONCLUSIONS: The preoperative metabolic fingerprint of neonates differed from older infants. Large metabolic shifts occurred after cardiopulmonary bypass, independent of age. Nonsurvivors and subjects requiring longer intensive care unit length of stay showed distinct changes in metabolism. Specific metabolites, including aspartate and methylnicotinamide, may differentiate sicker patients from those experiencing a more benign course. John Wiley and Sons Inc. 2018-12-07 /pmc/articles/PMC6405618/ /pubmed/30561257 http://dx.doi.org/10.1161/JAHA.118.010711 Text en © 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Davidson, Jesse A.
Pfeifer, Zachary
Frank, Benjamin
Tong, Suhong
Urban, Tracy T.
Wischmeyer, Paul A.
Mourani, Peter
Landeck, Bruce
Christians, Uwe
Klawitter, Jelena
Metabolomic Fingerprinting of Infants Undergoing Cardiopulmonary Bypass: Changes in Metabolic Pathways and Association With Mortality and Cardiac Intensive Care Unit Length of Stay
title Metabolomic Fingerprinting of Infants Undergoing Cardiopulmonary Bypass: Changes in Metabolic Pathways and Association With Mortality and Cardiac Intensive Care Unit Length of Stay
title_full Metabolomic Fingerprinting of Infants Undergoing Cardiopulmonary Bypass: Changes in Metabolic Pathways and Association With Mortality and Cardiac Intensive Care Unit Length of Stay
title_fullStr Metabolomic Fingerprinting of Infants Undergoing Cardiopulmonary Bypass: Changes in Metabolic Pathways and Association With Mortality and Cardiac Intensive Care Unit Length of Stay
title_full_unstemmed Metabolomic Fingerprinting of Infants Undergoing Cardiopulmonary Bypass: Changes in Metabolic Pathways and Association With Mortality and Cardiac Intensive Care Unit Length of Stay
title_short Metabolomic Fingerprinting of Infants Undergoing Cardiopulmonary Bypass: Changes in Metabolic Pathways and Association With Mortality and Cardiac Intensive Care Unit Length of Stay
title_sort metabolomic fingerprinting of infants undergoing cardiopulmonary bypass: changes in metabolic pathways and association with mortality and cardiac intensive care unit length of stay
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6405618/
https://www.ncbi.nlm.nih.gov/pubmed/30561257
http://dx.doi.org/10.1161/JAHA.118.010711
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