Newborn screening for X-linked adrenoleukodystrophy (X-ALD): Validation of a combined liquid chromatography–tandem mass spectrometric (LC–MS/MS) method
Abstract
Newborn screening for X-linked adrenoleukodystrophy (X-ALD) has until now been limited in implementation because of the lack of an accepted standard methodology. We have previously reported a technique using LC-MS/MS analysis that could provide the basis for screening of newborns for X-ALD. The target analyte diagnostic for X-ALD and other peroxisomal disorders of peroxisomal beta-oxidation is 1-hexacosanoyl-2-lyso-sn-3-glycero-phosphorylcholine (26:0-lyso-PC). We report here the validation of the analytical method using an authentic standard of the target compound. The method possesses sensitivity of <1.0fmole injected on column with a correlation coefficient (R(2)) of 0.9987. A tetradeuterated analog of 26:0-lyso-PC served as the internal standard. The sensitivity of this clinical method was confirmed using 17 newborn samples of individuals with peroxisomal disorders retrieved from state newborn screening programs. These samples were run masked with over 1000 newborn samples. All affected individuals were identified with one exception. One sample which was retrieved as an affected did not have the biochemical or genetic abnormality of X-ALD and thus is considered an error in sample identity. These studies clearly show that the method is highly sensitive and accurate in identifying individuals with a defect in peroxisomal beta-oxidation such as X-ALD.
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Determination of C26:0 lysophosphatidylcholine (C26:0-LPC) from dried blood spots has turned out to be most promising for high-throughput biochemical screening for X-ALD and other metabolic disorders.
“Determination of C26:0 lysophosphatidylcholine (C26:0-LPC) from dried blood spots has turned out to be most promising and slightly different methods based on tandem mass spectrometry (MS/MS) were reported by different laboratories.68–71”
From The genetic landscape of X-linked adrenoleukodystrophy: inheritance, mutations, modifier genes, and diagnosis (2015) · cites this paper as [69]
Cites
HUBBARD, W., MOSER, A., TORTORELLI, S., LIU, A., JONES, D., & MOSER, H. (2006) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2006.05.001 · Cited by 108 · see citing works
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Current status of newborn screening worldwide: 2015
Therrell, B. L., Padilla, C. D., Loeber, J. G., Kneisser, I., Saadallah, A., Borrajo, G. J. C., & Adams, J. (2015) · Seminars in Perinatology · doi:10.1053/j.semperi.2015.03.002 · Cited by 602 · see citing works
X-linked adrenoleukodystrophy: Clinical, metabolic, genetic and pathophysiological aspects
Kemp, S., Berger, J., & Aubourg, P. (2012) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2012.03.012 · Cited by 283 · see citing works
Pathophysiology of X-linked adrenoleukodystrophy
Berger, J., Forss-Petter, S., & Eichler, F. S. (2014) · Biochimie · doi:10.1016/j.biochi.2013.11.023 · Cited by 238 · see citing works
Berger, J., Wiesinger, C., & Eichler, F. (2015) · The Application of Clinical Genetics · doi:10.2147/tacg.s49590 · Cited by 140 · see citing works
Biochemical aspects of X-linked adrenoleukodystrophy
Kemp, S., & Wanders, R. (2010) · Brain Pathology · doi:10.1111/j.1750-3639.2010.00391.x · Cited by 116 · see citing works
Brain endothelial dysfunction in cerebral adrenoleukodystrophy
Musolino, P. L., Gong, Y., Snyder, J. M. T., Jimenez, S., Lok, J., Lo, E. H., Moser, A. B., Grabowski, E. F., Frosch, M. P., & Eichler, F. S. (2015) · Brain · doi:10.1093/brain/awv250 · Cited by 92 · see citing works
Self-citationPeroxisomal ABC Transporters: An Update
Tawbeh, A., Gondcaille, C., Trompier, D., & Savary, S. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22116093 · Cited by 68 · see citing works
“Recent therapeutic successes [82,83], and the feasibility and reliability of a diagnosis method based on VLCFA quantification from blood spot [84,85], have prompted some countries to establish systematic screening of newborns.”
BackgroundHuffnagel, I. C., van de Beek, M.-C., Showers, A. L., Orsini, J. J., Klouwer, F. C. C., Dijkstra, I. M. E., Schielen, P. C., van Lenthe, H., Wanders, R. J. A., Vaz, F. M., et al. (2017) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2017.10.012 · Cited by 71 · see citing works
Treatment of cerebral adrenoleukodystrophy: allogeneic transplantation and lentiviral gene therapy
Gupta, A. O., Raymond, G., Pierpont, E. I., Kemp, S., McIvor, R. S., Rayannavar, A., Miller, B., Lund, T. C., & Orchard, P. J. (2022) · Expert Opinion on Biological Therapy · doi:10.1080/14712598.2022.2124857 · Cited by 67 · see citing works
“spots [12], and subsequently high-throughput measures were published [13,14].”
BackgroundThe Pex1-G844D mouse: a model for mild human Zellweger spectrum disorder
Hiebler, S., Masuda, T., Hacia, J. G., Moser, A. B., Faust, P. L., Liu, A., Chowdhury, N., Huang, N., Lauer, A., Bennett, J., et al. (2014) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2014.01.008 · Cited by 60 · see citing works
Self-citationMicroglial dysfunction as a key pathological change in adrenomyeloneuropathy
Gong, Y., Sasidharan, N., Laheji, F., Frosch, M., Musolino, P., Tanzi, R., Kim, D. Y., Biffi, A., El Khoury, J., & Eichler, F. (2017) · Annals of Neurology · doi:10.1002/ana.25085 · Cited by 54 · see citing works
Baarine, M., Ragot, K., Athias, A., Nury, T., Kattan, Z., Genin, E. C., Andreoletti, P., Ménétrier, F., Riedinger, J.-M., Bardou, M., et al. (2012) · NeuroToxicology · doi:10.1016/j.neuro.2011.10.007 · Cited by 43 · see citing works
van Engen, C. E., Ofman, R., Dijkstra, I. M. E., van Goethem, T. J., Verheij, E., Varin, J., Vidaud, M., Wanders, R. J. A., Aubourg, P., Kemp, S., et al. (2016) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2016.07.006 · Cited by 26 · see citing works
- Authors
- Hubbard, W. C., Moser, A. B., Liu, A. C., Jones, R. O., Steinberg, S. J., Lorey, F., Panny, S. R., Vogt Jr., R. F., Macaya, D., & Turgeon, C. T.
- Affiliations
- Johns Hopkins University (US)
- Kennedy Krieger Institute (US)
- California Department of Public Health (US)
- Maryland Department of Health (US)
- Mayo Clinic (US)
- Corresponding author
- Hubbard, Walter C.
- Venue
- Molecular Genetics and Metabolism
- Publisher
- Elsevier BV
- Published
- 2009-07
- Volume
- 97
- Issue
- 3
- Pages
- 212-220
- ISSN
- 1096-7192 (ISSN-L)
- OpenAlex
- W2154833816
- Cited by
- 177
- References
- 1
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 7 · 2023: 3 · 2022: 13 · 2021: 16 · 2020: 8 · 2019: 9 · 2018: 13 · 2017: 13 · 2016: 18 · 2015: 12 · 2014: 8 · 2013: 8 · 2012: 13
- FWCI
- 7.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Molecular Genetics and Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Johns Hopkins University
- Association Européenne contre les Leucodystrophies
- National Institutes of Health (1s10rr016798-01)
- National Center for Research Resources (1 S10 RR16798)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Metabolism and Genetic Disorders
- Health Sciences › Medicine › Physiology › Lysosomal Storage Disorders Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Keywords
- X-linked adrenoleukodystrophy, newborn screening, peroxisomal disorders, peroxisomal beta-oxidation, LC-MS/MS method validation, diagnostic biomarkers, analytical sensitivity
- MeSH terms
- Adolescent, Adrenoleukodystrophy, Child, Child, Preschool, Chromatography, Liquid, Humans, Infant, Newborn, Lysophosphatidylcholines, Reference Standards, Neonatal Screening, Tandem Mass Spectrometry
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