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Horm Metab Res 2021; 53(02): 112-123
DOI: 10.1055/a-1300-2294
Endocrine Care

Investigating the Metabolic Model in Preterm Neonates by Tandem Mass Spectrometry: A Cohort Study

Benjing Wang‡
1   Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
,
Qin Zhang‡
1   Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
,
Qi Wang
1   Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
,
Jun Ma
1   Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
,
Xiaoju Cao
1   Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
,
Yaping Chen
1   Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
,
Yuhong Pan
1   Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
,
Hong Li
1   Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
,
Jingjing Xiang
1   Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
,
Ting Wang
1   Center for Reproduction and Genetic, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
› Author Affiliations Funding: This study was supported by grants from Suzhou Key Medical Center (SZZX201505), Jiangsu Maternal and Children health care research project (F201715), Jiangsu Provincial Medical Innovation Team (CXTDB2017013), Suzhou Clinical Medical Expert Team (SZYJTD201708), Jiangsu Maternal and Children health care key discipline (FXK201748), Suzhou Science and Technology Support Program(SS2019066).
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Correction: Investigating the Metabolic Model in Preterm Neonates by Tandem Mass Spectrometry: A Cohort StudyHorm Metab Res 2021; 53(02): e1-e1
DOI: 10.1055/a-1325-3731

Abstract

The changes of metabolite profiles in preterm birth have been demonstrated using newborn screening data. However, little is known about the holistic metabolic model in preterm neonates. The aim was to investigate the holistic metabolic model in preterm neonates. All metabolite values were obtained from a cohort data of routine newborn screening. A total of 261 758 newborns were recruited and randomly divided into a training subset and a testing subset. Using the training subset, 949 variates were considered to establish a logistic regression model for identifying preterm birth (<37 weeks) from term birth (≥37 weeks). Sventy-two variates (age at collection, TSH, 17α-OHP, proline, tyrosine, C16:1-OH, C18:2, and 65 ratios) entered into the final metabolic model for identifying preterm birth from term birth. Among the variates entering into the final model of PTB [Leucine+Isoleucine+Proline-OH)/Valine (OR=38.36], (C3DC+C4-OH)/C12 (OR=15.58), Valine/C5 (OR=6.32), [Leucine+isoleucine+Proline-OH)/Ornithine (OR=2.509)], and Proline/C18:1 (OR=2.465) have the top five OR values, and [Leucine+Isoleucine+Proline-OH)/C5 (OR=0.05)], [Leucine+Isoleucine+Proline-OH)/Phenylalanine (OR=0.214)], proline/valine (OR=0.230), C16/C18 (OR=0.259), and Alanine/free carnitine (OR=0.279) have the five lowest OR values. The final metabolic model had a capacity of identifying preterm infants with >80% accuracy in both the training and testing subsets. When identifying neonates ≤32 weeks from those >32 weeks, it had a robust performance with nearly 95% accuracy in both subsets. In summary, we have established an excellent metabolic model in preterm neonates. These findings could provide new insights for more efficient nutrient supplements and etiology of preterm birth.

Key words

metabolic model - metabolite - amino acid - acylcarnitine - preterm neonate - tandem mass spectrometry

Supplementary Material



Publication History

Received: 14 July 2020

Accepted: 20 October 2020

Article published online:
27 November 2020

© 2020. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 

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