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A retrospective analysis of MS/MS screening for IEM in high-risk areas

Inborn errors of metabolism (IEM) can lead to severe motor and neurological developmental disorders and even disability and death in children due to untimely treatment. In this study, we used tandem mass spectrometry (MS/MS) for primary screening and recall of those with positive primary screening f...

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Autores principales: He, Xiao, Kuang, Juan, Lai, Jiahong, Huang, Jingxiong, Wang, Yijin, Lan, Guofeng, Xie, Yingjun, Shi, Xuekai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021976/
https://www.ncbi.nlm.nih.gov/pubmed/36927542
http://dx.doi.org/10.1186/s12920-023-01483-1
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author He, Xiao
Kuang, Juan
Lai, Jiahong
Huang, Jingxiong
Wang, Yijin
Lan, Guofeng
Xie, Yingjun
Shi, Xuekai
author_facet He, Xiao
Kuang, Juan
Lai, Jiahong
Huang, Jingxiong
Wang, Yijin
Lan, Guofeng
Xie, Yingjun
Shi, Xuekai
author_sort He, Xiao
collection PubMed
description Inborn errors of metabolism (IEM) can lead to severe motor and neurological developmental disorders and even disability and death in children due to untimely treatment. In this study, we used tandem mass spectrometry (MS/MS) for primary screening and recall of those with positive primary screening for rescreening. Further diagnosis was based on biochemical tests, imaging and clinical presentation as well as accurate genetic testing using multi-gene panel with high-throughput sequencing of 130 IEM-related genes. The screening population was 16,207 newborns born between July 1, 2019, and December 31, 2021. Based on the results, 8 newborns were diagnosed with IEM, constituting a detection rate of 1:2,026. Phenylketonuria was the most common form of IEM. In addition, seven genes associated with IEM were detected in these eight patients. All eight patients received standardized treatment starting in the neonatal period, and the follow-up results showed good growth and development. Therefore, our study suggests that MS/MS rescreening for IEM pathogenic variants in high-risk areas, combined with a sequencing validation strategy, can be highly effective in the early detection of affected children. This strategy, combined with early intervention, can be effective in preventing neonatal morbidity and improving population quality.
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spelling pubmed-100219762023-03-18 A retrospective analysis of MS/MS screening for IEM in high-risk areas He, Xiao Kuang, Juan Lai, Jiahong Huang, Jingxiong Wang, Yijin Lan, Guofeng Xie, Yingjun Shi, Xuekai BMC Med Genomics Research Inborn errors of metabolism (IEM) can lead to severe motor and neurological developmental disorders and even disability and death in children due to untimely treatment. In this study, we used tandem mass spectrometry (MS/MS) for primary screening and recall of those with positive primary screening for rescreening. Further diagnosis was based on biochemical tests, imaging and clinical presentation as well as accurate genetic testing using multi-gene panel with high-throughput sequencing of 130 IEM-related genes. The screening population was 16,207 newborns born between July 1, 2019, and December 31, 2021. Based on the results, 8 newborns were diagnosed with IEM, constituting a detection rate of 1:2,026. Phenylketonuria was the most common form of IEM. In addition, seven genes associated with IEM were detected in these eight patients. All eight patients received standardized treatment starting in the neonatal period, and the follow-up results showed good growth and development. Therefore, our study suggests that MS/MS rescreening for IEM pathogenic variants in high-risk areas, combined with a sequencing validation strategy, can be highly effective in the early detection of affected children. This strategy, combined with early intervention, can be effective in preventing neonatal morbidity and improving population quality. BioMed Central 2023-03-16 /pmc/articles/PMC10021976/ /pubmed/36927542 http://dx.doi.org/10.1186/s12920-023-01483-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
He, Xiao
Kuang, Juan
Lai, Jiahong
Huang, Jingxiong
Wang, Yijin
Lan, Guofeng
Xie, Yingjun
Shi, Xuekai
A retrospective analysis of MS/MS screening for IEM in high-risk areas
title A retrospective analysis of MS/MS screening for IEM in high-risk areas
title_full A retrospective analysis of MS/MS screening for IEM in high-risk areas
title_fullStr A retrospective analysis of MS/MS screening for IEM in high-risk areas
title_full_unstemmed A retrospective analysis of MS/MS screening for IEM in high-risk areas
title_short A retrospective analysis of MS/MS screening for IEM in high-risk areas
title_sort retrospective analysis of ms/ms screening for iem in high-risk areas
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021976/
https://www.ncbi.nlm.nih.gov/pubmed/36927542
http://dx.doi.org/10.1186/s12920-023-01483-1
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