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Progressive Metabolic Abnormalities Associated with the Development of Neonatal Bronchopulmonary Dysplasia

Objective: To assess the longitudinal metabolic patterns during the evolution of bronchopulmonary dysplasia (BPD) development. Methods: A case-control dataset of preterm infants (<32-week gestation) was obtained from a multicenter database, including 355 BPD cases and 395 controls. A total of 72...

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Autores principales: Ye, Chengyin, Wu, Jinghua, Reiss, Jonathan D., Sinclair, Tiffany J., Stevenson, David K., Shaw, Gary M., Chace, Donald H., Clark, Reese H., Prince, Lawrence S., Ling, Xuefeng Bruce, Sylvester, Karl G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459725/
https://www.ncbi.nlm.nih.gov/pubmed/36079804
http://dx.doi.org/10.3390/nu14173547
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author Ye, Chengyin
Wu, Jinghua
Reiss, Jonathan D.
Sinclair, Tiffany J.
Stevenson, David K.
Shaw, Gary M.
Chace, Donald H.
Clark, Reese H.
Prince, Lawrence S.
Ling, Xuefeng Bruce
Sylvester, Karl G.
author_facet Ye, Chengyin
Wu, Jinghua
Reiss, Jonathan D.
Sinclair, Tiffany J.
Stevenson, David K.
Shaw, Gary M.
Chace, Donald H.
Clark, Reese H.
Prince, Lawrence S.
Ling, Xuefeng Bruce
Sylvester, Karl G.
author_sort Ye, Chengyin
collection PubMed
description Objective: To assess the longitudinal metabolic patterns during the evolution of bronchopulmonary dysplasia (BPD) development. Methods: A case-control dataset of preterm infants (<32-week gestation) was obtained from a multicenter database, including 355 BPD cases and 395 controls. A total of 72 amino acid (AA) and acylcarnitine (AC) variables, along with infants’ calorie intake and growth outcomes, were measured on day of life 1, 7, 28, and 42. Logistic regression, clustering methods, and random forest statistical modeling were utilized to identify metabolic variables significantly associated with BPD development and to investigate their longitudinal patterns that are associated with BPD development. Results: A panel of 27 metabolic variables were observed to be longitudinally associated with BPD development. The involved metabolites increased from 1 predominant different AC by day 7 to 19 associated AA and AC compounds by day 28 and 16 metabolic features by day 42. Citrulline, alanine, glutamate, tyrosine, propionylcarnitine, free carnitine, acetylcarnitine, hydroxybutyrylcarnitine, and most median-chain ACs (C(5):C(10)) were the most associated metabolites down-regulated in BPD babies over the early days of life, whereas phenylalanine, methionine, and hydroxypalmitoylcarnitine were observed to be up-regulated in BPD babies. Most calorie intake and growth outcomes revealed similar longitudinal patterns between BPD cases and controls over the first 6 weeks of life, after gestational adjustment. When combining with birth weight, the derived metabolic-based discriminative model observed some differences between those with and without BPD development, with c-statistics of 0.869 and 0.841 at day 7 and 28 of life on the test data. Conclusions: The metabolic panel we describe identified some metabolic differences in the blood associated with BPD pathogenesis. Further work is needed to determine whether these compounds could facilitate the monitoring and/or investigation of early-life metabolic status in the lung and other tissues for the prevention and management of BPD.
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spelling pubmed-94597252022-09-10 Progressive Metabolic Abnormalities Associated with the Development of Neonatal Bronchopulmonary Dysplasia Ye, Chengyin Wu, Jinghua Reiss, Jonathan D. Sinclair, Tiffany J. Stevenson, David K. Shaw, Gary M. Chace, Donald H. Clark, Reese H. Prince, Lawrence S. Ling, Xuefeng Bruce Sylvester, Karl G. Nutrients Article Objective: To assess the longitudinal metabolic patterns during the evolution of bronchopulmonary dysplasia (BPD) development. Methods: A case-control dataset of preterm infants (<32-week gestation) was obtained from a multicenter database, including 355 BPD cases and 395 controls. A total of 72 amino acid (AA) and acylcarnitine (AC) variables, along with infants’ calorie intake and growth outcomes, were measured on day of life 1, 7, 28, and 42. Logistic regression, clustering methods, and random forest statistical modeling were utilized to identify metabolic variables significantly associated with BPD development and to investigate their longitudinal patterns that are associated with BPD development. Results: A panel of 27 metabolic variables were observed to be longitudinally associated with BPD development. The involved metabolites increased from 1 predominant different AC by day 7 to 19 associated AA and AC compounds by day 28 and 16 metabolic features by day 42. Citrulline, alanine, glutamate, tyrosine, propionylcarnitine, free carnitine, acetylcarnitine, hydroxybutyrylcarnitine, and most median-chain ACs (C(5):C(10)) were the most associated metabolites down-regulated in BPD babies over the early days of life, whereas phenylalanine, methionine, and hydroxypalmitoylcarnitine were observed to be up-regulated in BPD babies. Most calorie intake and growth outcomes revealed similar longitudinal patterns between BPD cases and controls over the first 6 weeks of life, after gestational adjustment. When combining with birth weight, the derived metabolic-based discriminative model observed some differences between those with and without BPD development, with c-statistics of 0.869 and 0.841 at day 7 and 28 of life on the test data. Conclusions: The metabolic panel we describe identified some metabolic differences in the blood associated with BPD pathogenesis. Further work is needed to determine whether these compounds could facilitate the monitoring and/or investigation of early-life metabolic status in the lung and other tissues for the prevention and management of BPD. MDPI 2022-08-28 /pmc/articles/PMC9459725/ /pubmed/36079804 http://dx.doi.org/10.3390/nu14173547 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ye, Chengyin
Wu, Jinghua
Reiss, Jonathan D.
Sinclair, Tiffany J.
Stevenson, David K.
Shaw, Gary M.
Chace, Donald H.
Clark, Reese H.
Prince, Lawrence S.
Ling, Xuefeng Bruce
Sylvester, Karl G.
Progressive Metabolic Abnormalities Associated with the Development of Neonatal Bronchopulmonary Dysplasia
title Progressive Metabolic Abnormalities Associated with the Development of Neonatal Bronchopulmonary Dysplasia
title_full Progressive Metabolic Abnormalities Associated with the Development of Neonatal Bronchopulmonary Dysplasia
title_fullStr Progressive Metabolic Abnormalities Associated with the Development of Neonatal Bronchopulmonary Dysplasia
title_full_unstemmed Progressive Metabolic Abnormalities Associated with the Development of Neonatal Bronchopulmonary Dysplasia
title_short Progressive Metabolic Abnormalities Associated with the Development of Neonatal Bronchopulmonary Dysplasia
title_sort progressive metabolic abnormalities associated with the development of neonatal bronchopulmonary dysplasia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459725/
https://www.ncbi.nlm.nih.gov/pubmed/36079804
http://dx.doi.org/10.3390/nu14173547
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