Literature DB >> 32599610

Does metabolomic profile differ with regard to birth weight?

Harpa Vidarsdottir1,2, Thordur Thorkelsson1,3, Thorhallur Ingi Halldorsson4, Ragnar Bjarnason1,3, Reynir Tomas Geirsson1,5, Piero Rinaldo6, Leifur Franzson7,8.   

Abstract

BACKGROUND: Macrosomia and child obesity are growing health-care issues worldwide. The purpose of the study was to evaluate how extremely high or low birth weight affects metabolic markers evaluated in newborn screening.
METHODS: The study was register-based and included full-term singletons born in Iceland from 2009 to 2012 with newborn screening samples taken 72-96 h after birth. Three groups based on birth weight were compared: low birth weight (<2500 g), appropriate-for-gestational age, and extreme macrosomia (≥5000 g). The comparison was adjusted for possible confounding factors.
RESULTS: Compared to appropriate-for-gestational age neonates, both low birth weight and extreme macrosomia were associated with higher levels of glutamic acid. The amino acids alanine and threonine were increased in low birth weight neonates. Free carnitine and some medium- and long-chain acylcarnitines were higher in low birth weight infants. Hydroxybutyrylcarnitine was lower in low birth weight infants, but higher in extremely macrosomic neonates. Acetylcarnitine was higher in low birth weight and extremely macrosomic neonates. Succinylcarnitine was lower and hexadecenoylcarnitine higher in macrosomic newborns.
CONCLUSION: Low birth weight and extremely macrosomic neonates show distinctive differences in their metabolomic profile compared to appropriate-for-gestational age newborns. The differences are not explained by gestational age. IMPACT: The key message of this article is that both low birth weight and extremely macrosomic newborns show dissimilar metabolomic profiles compared to appropriate-for-gestational age neonates. The article contributes to knowledge on what affects evaluation of results in newborn screening. The impact of this article is to provide information on metabolism at both ends of the birth weight range after accounting for confounding factors including gestational age.

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Year:  2020        PMID: 32599610     DOI: 10.1038/s41390-020-1033-0

Source DB:  PubMed          Journal:  Pediatr Res        ISSN: 0031-3998            Impact factor:   3.756


  27 in total

1.  Birth weight, physical morbidity, and mortality: a population-based sibling-comparison study.

Authors:  Quetzal A Class; Martin E Rickert; Paul Lichtenstein; Brian M D'Onofrio
Journal:  Am J Epidemiol       Date:  2013-12-18       Impact factor: 4.897

2.  Analysis and interpretation of acylcarnitine profiles in dried blood spot and plasma of preterm and full-term newborns.

Authors:  Antonina Gucciardi; Patrizia Zaramella; Irene Costa; Paola Pirillo; Daniel Nardo; Mauro Naturale; Lino Chiandetti; Giuseppe Giordano
Journal:  Pediatr Res       Date:  2014-09-30       Impact factor: 3.756

Review 3.  Newborn screening: a review of history, recent advancements, and future perspectives in the era of next generation sequencing.

Authors:  Mohammed Almannai; Ronit Marom; V Reid Sutton
Journal:  Curr Opin Pediatr       Date:  2016-12       Impact factor: 2.856

4.  Clinical and environmental influences on metabolic biomarkers collected for newborn screening.

Authors:  Kelli K Ryckman; Stanton L Berberich; Oleg A Shchelochkov; Daniel E Cook; Jeffrey C Murray
Journal:  Clin Biochem       Date:  2012-09-23       Impact factor: 3.281

5.  Effects of birth weight on profiles of dried blood amino-acids and acylcarnitines.

Authors:  Lili Yang; Yu Zhang; Jianbin Yang; Xinwen Huang
Journal:  Ann Clin Biochem       Date:  2017-03-09       Impact factor: 2.057

6.  Global metabolomic profiling targeting childhood obesity in the Hispanic population.

Authors:  Nancy F Butte; Yan Liu; Issa F Zakeri; Robert P Mohney; Nitesh Mehta; V Saroja Voruganti; Harald Göring; Shelley A Cole; Anthony G Comuzzie
Journal:  Am J Clin Nutr       Date:  2015-06-17       Impact factor: 7.045

Review 7.  Metabolomics in Prediabetes and Diabetes: A Systematic Review and Meta-analysis.

Authors:  Marta Guasch-Ferré; Adela Hruby; Estefanía Toledo; Clary B Clish; Miguel A Martínez-González; Jordi Salas-Salvadó; Frank B Hu
Journal:  Diabetes Care       Date:  2016-05       Impact factor: 19.112

8.  Gestational age and age at sampling influence metabolic profiles in premature infants.

Authors:  Reese H Clark; Amy S Kelleher; Donald H Chace; Alan R Spitzer
Journal:  Pediatrics       Date:  2014-06-09       Impact factor: 7.124

9.  Analysis of acylcarnitine profiles in umbilical cord blood and during the early neonatal period by electrospray ionization tandem mass spectrometry.

Authors:  E Vieira Neto; A A Fonseca; R F Almeida; M P Figueiredo; M A S Porto; M G Ribeiro
Journal:  Braz J Med Biol Res       Date:  2012-04-12       Impact factor: 2.590

10.  Biomarkers for type 2 diabetes and impaired fasting glucose using a nontargeted metabolomics approach.

Authors:  Cristina Menni; Eric Fauman; Idil Erte; John R B Perry; Gabi Kastenmüller; So-Youn Shin; Ann-Kristin Petersen; Craig Hyde; Maria Psatha; Kirsten J Ward; Wei Yuan; Mike Milburn; Colin N A Palmer; Timothy M Frayling; Jeff Trimmer; Jordana T Bell; Christian Gieger; Rob P Mohney; Mary Julia Brosnan; Karsten Suhre; Nicole Soranzo; Tim D Spector
Journal:  Diabetes       Date:  2013-07-24       Impact factor: 9.461

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  2 in total

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Authors:  Li-Fang Ni; Ying Han; Chen-Chen Wang; Yan Ye; Miao-Miao Ding; Tian Zheng; Yu-Huan Wang; Hong-Tao Yan; Xin-Jun Yang
Journal:  Reprod Sci       Date:  2021-11-08       Impact factor: 3.060

2.  Early Postnatal Metabolic Profile in Neonates With Different Birth Weight Status: A Pilot Study.

Authors:  Serdar Beken; Saygin Abali; Neslihan Yildirim Saral; Bengisu Guner; Taha Dinc; Eda Albayrak; Melike Ersoy; Meltem Kilercik; Muge Halici; Ezgi Bulbul; Didem Kaya; Melis Karabay; Zeynep Alize Ay; Gulten Zeynep Eksi; Fehime Benli Aksungar; Ayse Korkmaz; Mustafa Serteser
Journal:  Front Pediatr       Date:  2021-04-27       Impact factor: 3.418

  2 in total

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