Direct Prediction of VLCADD Severity Using Newborn Screening Analyte Data
Publication date
2026-03
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Abstract
A critical concern of newborn screening (NBS) for very-long chain acyl-CoA dehydrogenase deficiency (VLCADD) is the difficulty of predicting clinical outcomes. To address this, we investigated neonatal C18:2-carnitine concentrations as a possible predictor of VLCADD phenotype. To investigate the impact of sex, gestational age (GA) at birth, sampling day and birth weight on C18:2-carnitine, we analyzed NBS-dried blood spots (DBS) from Dutch newborns born between 2018 and 2020 (n = 209.785). After normalization for resulting confounders, C18:2-carnitine concentrations were investigated in NBS-DBS (n = 15) and neonatal plasma (n = 35) of Dutch VLCADD-patients, and in German NBS-DBS (n = 6) and correlated with clinical severity and diagnostic assays. Results showed that C18:2-carnitine concentrations were affected by GA, sampling day, birth weight and, to a lesser extent, by sex. High C18:2-carnitine, normalized for GA, sampling day and birth weight, reliably identified all VLCADD-patients with (expected) severe phenotypes. The differentiating C18:2-carnitine was identified as linoleylcarnitine. In conclusion, this study shows that neonatal C18:2-carnitine concentrations can serve to predict disease severity directly after positive NBS for VLCADD. Patients with high C18:2-carnitine concentrations can be considered "severe" and require strict dietary treatment and close monitoring. Patients with low C18:2-carnitine concentrations can be identified as "mild" and only need preventive dietary measures.
Keywords
Acyl-CoA Dehydrogenase, Long-Chain/deficiency, Birth Weight, Carnitine/blood, Congenital Bone Marrow Failure Syndromes/diagnosis, Dried Blood Spot Testing, Female, Gestational Age, Humans, Infant, Newborn, Lipid Metabolism, Inborn Errors/diagnosis, Male, Mitochondrial Diseases/diagnosis, Muscular Diseases/diagnosis, Neonatal Screening/methods, Netherlands, Phenotype, Severity of Illness Index, Journal Article
Citation
Schwantje, M, Maase, R E, Dekkers, E, Ferdinandusse, S, Vaz, F M, Hörster, F, Mütze, U, Grünert, S C, Visser, G, Velden, M G M D S D & Fuchs, S A 2026, 'Direct Prediction of VLCADD Severity Using Newborn Screening Analyte Data', Journal of Inherited Metabolic Disease, vol. 49, no. 2, e70143. https://doi.org/10.1002/jimd.70143