A 7-Year Report of Spectrum of Inborn Errors of Metabolism on Full-Term and Premature Infants in a Chinese Neonatal Intensive Care Unit

Inborn errors of metabolism (IEMs) have great repercussions in neonatal intensive care units (NICUs). However, the integrative analysis of the incidence for full-term and premature neonates of IEMs in NICUs have not been reported. In this study, we aimed to estimate the incidence of IEMs in the NICU...

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Main Authors: Wanqiao Zhang, Yao Yang, Wei Peng, Juan Chang, Yabo Mei, Lei Yan, Yuhan Chen, Xiujuan Wei, Yabin Liu, Yan Wang, Zhichun Feng
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.01302/full
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language English
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author Wanqiao Zhang
Wanqiao Zhang
Wanqiao Zhang
Yao Yang
Yao Yang
Yao Yang
Wei Peng
Wei Peng
Wei Peng
Juan Chang
Juan Chang
Juan Chang
Yabo Mei
Yabo Mei
Yabo Mei
Lei Yan
Lei Yan
Lei Yan
Yuhan Chen
Yuhan Chen
Yuhan Chen
Xiujuan Wei
Xiujuan Wei
Xiujuan Wei
Yabin Liu
Yabin Liu
Yabin Liu
Yan Wang
Yan Wang
Yan Wang
Zhichun Feng
Zhichun Feng
Zhichun Feng
spellingShingle Wanqiao Zhang
Wanqiao Zhang
Wanqiao Zhang
Yao Yang
Yao Yang
Yao Yang
Wei Peng
Wei Peng
Wei Peng
Juan Chang
Juan Chang
Juan Chang
Yabo Mei
Yabo Mei
Yabo Mei
Lei Yan
Lei Yan
Lei Yan
Yuhan Chen
Yuhan Chen
Yuhan Chen
Xiujuan Wei
Xiujuan Wei
Xiujuan Wei
Yabin Liu
Yabin Liu
Yabin Liu
Yan Wang
Yan Wang
Yan Wang
Zhichun Feng
Zhichun Feng
Zhichun Feng
A 7-Year Report of Spectrum of Inborn Errors of Metabolism on Full-Term and Premature Infants in a Chinese Neonatal Intensive Care Unit
Frontiers in Genetics
newborn screening
neonatal intensive care unit
inborn errors of metabolism
incidence of inborn errors of metabolism
spectrum of genes and mutations
author_facet Wanqiao Zhang
Wanqiao Zhang
Wanqiao Zhang
Yao Yang
Yao Yang
Yao Yang
Wei Peng
Wei Peng
Wei Peng
Juan Chang
Juan Chang
Juan Chang
Yabo Mei
Yabo Mei
Yabo Mei
Lei Yan
Lei Yan
Lei Yan
Yuhan Chen
Yuhan Chen
Yuhan Chen
Xiujuan Wei
Xiujuan Wei
Xiujuan Wei
Yabin Liu
Yabin Liu
Yabin Liu
Yan Wang
Yan Wang
Yan Wang
Zhichun Feng
Zhichun Feng
Zhichun Feng
author_sort Wanqiao Zhang
title A 7-Year Report of Spectrum of Inborn Errors of Metabolism on Full-Term and Premature Infants in a Chinese Neonatal Intensive Care Unit
title_short A 7-Year Report of Spectrum of Inborn Errors of Metabolism on Full-Term and Premature Infants in a Chinese Neonatal Intensive Care Unit
title_full A 7-Year Report of Spectrum of Inborn Errors of Metabolism on Full-Term and Premature Infants in a Chinese Neonatal Intensive Care Unit
title_fullStr A 7-Year Report of Spectrum of Inborn Errors of Metabolism on Full-Term and Premature Infants in a Chinese Neonatal Intensive Care Unit
title_full_unstemmed A 7-Year Report of Spectrum of Inborn Errors of Metabolism on Full-Term and Premature Infants in a Chinese Neonatal Intensive Care Unit
title_sort 7-year report of spectrum of inborn errors of metabolism on full-term and premature infants in a chinese neonatal intensive care unit
publisher Frontiers Media S.A.
series Frontiers in Genetics
issn 1664-8021
publishDate 2020-01-01
description Inborn errors of metabolism (IEMs) have great repercussions in neonatal intensive care units (NICUs). However, the integrative analysis of the incidence for full-term and premature neonates of IEMs in NICUs have not been reported. In this study, we aimed to estimate the incidence of IEMs in the NICU population so as to better evaluate the impact of IEMs on Chinese NICUs. A total of 42,257 newborns (proportion of premature as 36.7%) enrolled to the largest Chinese NICU center for a sequential 7 years screen, and 66 were diagnosed with IEMs. The prevalence of IEMs in total, full-term, and premature infants was 1:640, 1:446, and 1:2,584, respectively. In spectrum of our NICU, diseases that cause endogenous intoxication like methylmalonic acidemia accounted for 93.9% (62/66), and this ratio was higher in full-term infants with 98.3% (59/60), while the most prevalent disease in premature newborn was hyperphenylalaninemia (50%, 3/6), respectively. The genetic analysis of 49 cases revealed 62 potentially pathogenic mutations in 10 well-documented pathogenic genes of IEMs, among which 21 were novel. In conclusion, differences in incidence and spectrum of full-term and premature births we obtained in NICU will provide diagnostic guidelines and therapeutic clues of neonatal IEMs for pediatricians.
topic newborn screening
neonatal intensive care unit
inborn errors of metabolism
incidence of inborn errors of metabolism
spectrum of genes and mutations
url https://www.frontiersin.org/article/10.3389/fgene.2019.01302/full
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spelling doaj-888d9e5b3f7a443a8940a6a11741ed7b2020-11-25T02:44:55ZengFrontiers Media S.A.Frontiers in Genetics1664-80212020-01-011010.3389/fgene.2019.01302460730A 7-Year Report of Spectrum of Inborn Errors of Metabolism on Full-Term and Premature Infants in a Chinese Neonatal Intensive Care UnitWanqiao Zhang0Wanqiao Zhang1Wanqiao Zhang2Yao Yang3Yao Yang4Yao Yang5Wei Peng6Wei Peng7Wei Peng8Juan Chang9Juan Chang10Juan Chang11Yabo Mei12Yabo Mei13Yabo Mei14Lei Yan15Lei Yan16Lei Yan17Yuhan Chen18Yuhan Chen19Yuhan Chen20Xiujuan Wei21Xiujuan Wei22Xiujuan Wei23Yabin Liu24Yabin Liu25Yabin Liu26Yan Wang27Yan Wang28Yan Wang29Zhichun Feng30Zhichun Feng31Zhichun Feng32BaYi Children’s Hospital, Seventh Medical Center of PLA General Hospital, Beijing, ChinaNational Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, ChinaBeijing Key Laboratory of Pediatric Organ Failure, Beijing, ChinaBaYi Children’s Hospital, Seventh Medical Center of PLA General Hospital, Beijing, ChinaNational Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, ChinaBeijing Key Laboratory of Pediatric Organ Failure, Beijing, ChinaBaYi Children’s Hospital, Seventh Medical Center of PLA General Hospital, Beijing, ChinaNational Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, ChinaBeijing Key Laboratory of Pediatric Organ Failure, Beijing, ChinaBaYi Children’s Hospital, Seventh Medical Center of PLA General Hospital, Beijing, ChinaNational Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, ChinaBeijing Key Laboratory of Pediatric Organ Failure, Beijing, ChinaBaYi Children’s Hospital, Seventh Medical Center of PLA General Hospital, Beijing, ChinaNational Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, ChinaBeijing Key Laboratory of Pediatric Organ Failure, Beijing, ChinaBaYi Children’s Hospital, Seventh Medical Center of PLA General Hospital, Beijing, ChinaNational Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, ChinaBeijing Key Laboratory of Pediatric Organ Failure, Beijing, ChinaBaYi Children’s Hospital, Seventh Medical Center of PLA General Hospital, Beijing, ChinaNational Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, ChinaBeijing Key Laboratory of Pediatric Organ Failure, Beijing, ChinaBaYi Children’s Hospital, Seventh Medical Center of PLA General Hospital, Beijing, ChinaNational Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, ChinaBeijing Key Laboratory of Pediatric Organ Failure, Beijing, ChinaBaYi Children’s Hospital, Seventh Medical Center of PLA General Hospital, Beijing, ChinaNational Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, ChinaBeijing Key Laboratory of Pediatric Organ Failure, Beijing, ChinaBaYi Children’s Hospital, Seventh Medical Center of PLA General Hospital, Beijing, ChinaNational Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, ChinaBeijing Key Laboratory of Pediatric Organ Failure, Beijing, ChinaBaYi Children’s Hospital, Seventh Medical Center of PLA General Hospital, Beijing, ChinaNational Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, ChinaBeijing Key Laboratory of Pediatric Organ Failure, Beijing, ChinaInborn errors of metabolism (IEMs) have great repercussions in neonatal intensive care units (NICUs). However, the integrative analysis of the incidence for full-term and premature neonates of IEMs in NICUs have not been reported. In this study, we aimed to estimate the incidence of IEMs in the NICU population so as to better evaluate the impact of IEMs on Chinese NICUs. A total of 42,257 newborns (proportion of premature as 36.7%) enrolled to the largest Chinese NICU center for a sequential 7 years screen, and 66 were diagnosed with IEMs. The prevalence of IEMs in total, full-term, and premature infants was 1:640, 1:446, and 1:2,584, respectively. In spectrum of our NICU, diseases that cause endogenous intoxication like methylmalonic acidemia accounted for 93.9% (62/66), and this ratio was higher in full-term infants with 98.3% (59/60), while the most prevalent disease in premature newborn was hyperphenylalaninemia (50%, 3/6), respectively. The genetic analysis of 49 cases revealed 62 potentially pathogenic mutations in 10 well-documented pathogenic genes of IEMs, among which 21 were novel. In conclusion, differences in incidence and spectrum of full-term and premature births we obtained in NICU will provide diagnostic guidelines and therapeutic clues of neonatal IEMs for pediatricians.https://www.frontiersin.org/article/10.3389/fgene.2019.01302/fullnewborn screeningneonatal intensive care unitinborn errors of metabolismincidence of inborn errors of metabolismspectrum of genes and mutations