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 ide...
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Published in | Journal of the American Heart Association Vol. 7; no. 24; p. e010711 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
John Wiley and Sons Inc
18.12.2018
Wiley |
Subjects | |
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Abstract | 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
=0.89, Q
=0.77; P<0.001). Cardiopulmonary bypass resulted in progressive, age-independent metabolic disturbance ( R
=0.92, Q
=0.83; P<0.001). Multiple pathways demonstrated changes, with arginine/proline ( P=1.2×10
), glutathione ( P=3.3×10
), and alanine/aspartate/glutamate ( P=1.4×10
) 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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AbstractList | 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 (R2=0.89, Q2=0.77; P<0.001). Cardiopulmonary bypass resulted in progressive, age‐independent metabolic disturbance (R2=0.92, Q2=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. 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 =0.89, Q =0.77; P<0.001). Cardiopulmonary bypass resulted in progressive, age-independent metabolic disturbance ( R =0.92, Q =0.83; P<0.001). Multiple pathways demonstrated changes, with arginine/proline ( P=1.2×10 ), glutathione ( P=3.3×10 ), and alanine/aspartate/glutamate ( P=1.4×10 ) 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. 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 ( R2=0.89, Q2=0.77; P<0.001). Cardiopulmonary bypass resulted in progressive, age-independent metabolic disturbance ( R2=0.92, Q2=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.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 ( R2=0.89, Q2=0.77; P<0.001). Cardiopulmonary bypass resulted in progressive, age-independent metabolic disturbance ( R2=0.92, Q2=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. |
Author | Tong, Suhong Mourani, Peter Pfeifer, Zachary Urban, Tracy T. Klawitter, Jelena Wischmeyer, Paul A. Davidson, Jesse A. Frank, Benjamin Landeck, Bruce Christians, Uwe |
AuthorAffiliation | 4 Department of Anesthesiology University of Colorado Aurora CO 3 School of Medicine University of Colorado Aurora CO 6 Department of Anesthesiology Duke University Durham NC 2 Department of Biostatistics University of Colorado/Children's Hospital Colorado Aurora CO 5 Department of Research Institute Children's Hospital Colorado Aurora CO 1 Department of Pediatrics University of Colorado/Children's Hospital Colorado Aurora CO |
AuthorAffiliation_xml | – name: 2 Department of Biostatistics University of Colorado/Children's Hospital Colorado Aurora CO – name: 3 School of Medicine University of Colorado Aurora CO – name: 6 Department of Anesthesiology Duke University Durham NC – name: 4 Department of Anesthesiology University of Colorado Aurora CO – name: 1 Department of Pediatrics University of Colorado/Children's Hospital Colorado Aurora CO – name: 5 Department of Research Institute Children's Hospital Colorado Aurora CO |
Author_xml | – sequence: 1 givenname: Jesse A. surname: Davidson fullname: Davidson, Jesse A. organization: Department of Pediatrics University of Colorado/Children's Hospital Colorado Aurora CO – sequence: 2 givenname: Zachary surname: Pfeifer fullname: Pfeifer, Zachary organization: School of Medicine University of Colorado Aurora CO – sequence: 3 givenname: Benjamin surname: Frank fullname: Frank, Benjamin organization: Department of Pediatrics University of Colorado/Children's Hospital Colorado Aurora CO – sequence: 4 givenname: Suhong surname: Tong fullname: Tong, Suhong organization: Department of Biostatistics University of Colorado/Children's Hospital Colorado Aurora CO – sequence: 5 givenname: Tracy T. surname: Urban fullname: Urban, Tracy T. organization: Department of Research Institute Children's Hospital Colorado Aurora CO – sequence: 6 givenname: Paul A. surname: Wischmeyer fullname: Wischmeyer, Paul A. organization: Department of Anesthesiology Duke University Durham NC – sequence: 7 givenname: Peter surname: Mourani fullname: Mourani, Peter organization: Department of Pediatrics University of Colorado/Children's Hospital Colorado Aurora CO – sequence: 8 givenname: Bruce surname: Landeck fullname: Landeck, Bruce organization: Department of Pediatrics University of Colorado/Children's Hospital Colorado Aurora CO – sequence: 9 givenname: Uwe surname: Christians fullname: Christians, Uwe organization: Department of Anesthesiology University of Colorado Aurora CO – sequence: 10 givenname: Jelena surname: Klawitter fullname: Klawitter, Jelena organization: Department of Anesthesiology University of Colorado Aurora CO |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30561257$$D View this record in MEDLINE/PubMed |
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Keywords | metabolite congenital heart disease critical care methylnicotinamide neonate kynurenic acid metabolome |
Language | English |
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Snippet | Background Mortality for infants undergoing complex cardiac surgery is >10% with a 30% to 40% risk of complications. Early identification and treatment of... |
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SubjectTerms | Age Factors Biomarkers - blood Cardiopulmonary Bypass - adverse effects Cardiopulmonary Bypass - mortality Chromatography, High Pressure Liquid congenital heart disease Coronary Care Units critical care Female Heart Defects, Congenital - blood Heart Defects, Congenital - diagnosis Heart Defects, Congenital - mortality Heart Defects, Congenital - surgery Hospital Mortality Humans Infant Infant, Newborn Intensive Care Units, Neonatal kynurenic acid Length of Stay Male metabolite metabolome Metabolomics - methods methylnicotinamide Original Research Postoperative Complications - blood Postoperative Complications - mortality Postoperative Complications - therapy Predictive Value of Tests Risk Assessment Risk Factors Tandem Mass Spectrometry Time Factors Treatment Outcome |
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Title | Metabolomic Fingerprinting of Infants Undergoing Cardiopulmonary Bypass: Changes in Metabolic Pathways and Association With Mortality and Cardiac Intensive Care Unit Length of Stay |
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