Literature DB >> 32061778

Prediction of VLCAD deficiency phenotype by a metabolic fingerprint in newborn screening bloodspots.

Suzan J G Knottnerus1, Mia L Pras-Raves2, Maria van der Ham3, Sacha Ferdinandusse4, Riekelt H Houtkooper4, Peter C J I Schielen5, Gepke Visser6, Frits A Wijburg7, Monique G M de Sain-van der Velden8.   

Abstract

PURPOSE: Newborns who test positive for very long-chain acyl-CoA dehydrogenase deficiency (VLCADD) in newborn screening may have a severe phenotype with early onset of life-threatening symptoms but may also have an attenuated phenotype and never become symptomatic. The objective of this study is to investigate whether metabolomic profiles in dried bloodspots (DBS) of newborns allow early phenotypic prediction, permitting tailored treatment and follow-up.
METHODS: A metabolic fingerprint was generated by direct infusion high resolution mass spectrometry in DBS of VLCADD patients (n = 15) and matched controls. Multivariate analysis of the metabolomic profiles was applied to differentiate subgroups.
RESULTS: Concentration of six acylcarnitine species differed significantly between patients and controls. The concentration of C18:2- and C20:0-carnitine, 13,14-dihydroretinol and deoxycytidine monophosphate allowed separation between mild and severe patients. Two patients who could not be prognosticated on early clinical symptoms, were correctly fitted for severity in the score plot based on the untargeted metabolomics.
CONCLUSION: Distinctive metabolomic profiles in DBS of newborns with VLCADD may allow phenotypic prognostication. The full potential of this approach as well as the underlying biochemical mechanisms need further investigation.
Copyright © 2020 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Newborn screening; Untargeted metabolomics; VLCADD

Year:  2020        PMID: 32061778     DOI: 10.1016/j.bbadis.2020.165725

Source DB:  PubMed          Journal:  Biochim Biophys Acta Mol Basis Dis        ISSN: 0925-4439            Impact factor:   5.187


  3 in total

1.  Improving the Speed and Selectivity of Newborn Screening Using Ion Mobility Spectrometry-Mass Spectrometry.

Authors:  James N Dodds; Erin S Baker
Journal:  Anal Chem       Date:  2021-12-01       Impact factor: 6.986

Review 2.  The genetics of mitochondrial disease: dissecting mitochondrial pathology using multi-omic pipelines.

Authors:  Charlotte L Alston; Sarah L Stenton; Gavin Hudson; Holger Prokisch; Robert W Taylor
Journal:  J Pathol       Date:  2021-03-26       Impact factor: 9.883

3.  A New Approach to Objectively Evaluate Inherited Metabolic Diseases for Inclusion on Newborn Screening Programmes.

Authors:  Alberto Burlina; Simon A Jones; Anupam Chakrapani; Heather J Church; Simon Heales; Teresa H Y Wu; Georgina Morton; Patricia Roberts; Erica F Sluys; David Cheillan
Journal:  Int J Neonatal Screen       Date:  2022-03-25
  3 in total

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