Evidence map›Paper›PMID 39256476›Full record

ArticleCommunications medicine2024

Lipidomic biomarkers in plasma correlate with disease severity in adrenoleukodystrophy.

Yorrick R J Jaspers, Hemmo A F Yska, Caroline G Bergner, Inge M E Dijkstra, Irene C Huffnagel, Marije M C Voermans, Eric Wever, Gajja S Salomons, Frédéric M Vaz, Aldo Jongejan and 6 more

Abstract read
In one paragraph

Article in Communications medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Nervonic acid supplementation mitigates disease severity biomarkers in adrenoleukodystrophy.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Article
  6. Article
  7. Article
  8. Clinically Relevant Outcome Measures in Women With Adrenoleukodystrophy.Annals of clinical and translational neurology · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Lipid signature in X-ALD: a comparison between phenotypes.Frontiers in molecular biosciences · 2026
    Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Yorrick R J JaspersLaboratory Genetic Metabolic Diseases, Department of Laboratory Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam Neuroscience, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-9153-5734
Hemmo A F YskaDepartment of Pediatric Neurology, Amsterdam UMC location University of Amsterdam, Amsterdam Leukodystrophy Center, Emma Children's Hospital, Amsterdam Neuroscience, Amsterdam, The Netherlands.
Caroline G BergnerDepartment of Neurology, Leukodystrophy Outpatient Clinic, Leipzig University Medical Center, Leipzig, Germany.
Inge M E DijkstraLaboratory Genetic Metabolic Diseases, Department of Laboratory Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam Neuroscience, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam, The Netherlands.
Irene C HuffnagelDepartment of Pediatric Neurology, Amsterdam UMC location University of Amsterdam, Amsterdam Leukodystrophy Center, Emma Children's Hospital, Amsterdam Neuroscience, Amsterdam, The Netherlands.
Marije M C VoermansDepartment of Pediatric Neurology, Amsterdam UMC location University of Amsterdam, Amsterdam Leukodystrophy Center, Emma Children's Hospital, Amsterdam Neuroscience, Amsterdam, The Netherlands.
Eric WeverBioinformatics Laboratory, Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-2116-507X
Gajja S SalomonsLaboratory Genetic Metabolic Diseases, Department of Laboratory Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam Neuroscience, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam, The Netherlands.
Frédéric M VazLaboratory Genetic Metabolic Diseases, Department of Laboratory Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam Neuroscience, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-9048-1041
Aldo JongejanBioinformatics Laboratory, Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-8948-2549
Jill HermansLaboratory Genetic Metabolic Diseases, Department of Laboratory Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam Neuroscience, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam, The Netherlands.
Rebecca K TryonDepartment of Pediatrics, Division of Bone Marrow Transplantation, University of Minnesota Children's Hospital, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0003-4504-128X
Troy C LundDepartment of Pediatrics, Division of Bone Marrow Transplantation, University of Minnesota Children's Hospital, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0001-9174-8919
Wolfgang KöhlerDepartment of Neurology, Leukodystrophy Outpatient Clinic, Leipzig University Medical Center, Leipzig, Germany.ORCID http://orcid.org/0000-0002-6058-9545
Marc Engelen *Department of Pediatric Neurology, Amsterdam UMC location University of Amsterdam, Amsterdam Leukodystrophy Center, Emma Children's Hospital, Amsterdam Neuroscience, Amsterdam, The Netherlands.
Stephan Kemp *Laboratory Genetic Metabolic Diseases, Department of Laboratory Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam Neuroscience, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam, The Netherlands. s.kemp@amsterdamumc.nl.ORCID http://orcid.org/0000-0003-2023-064X

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) 016.196.310ZonMw (Netherlands Organisation for Health Research and Development) 543002004
6 · The paper itself

Abstract

backgroundX-linked adrenoleukodystrophy (ALD) is a neurometabolic disorder caused by pathogenic variants in ABCD1 resulting very long-chain fatty acids (VLCFA) accumulation in plasma and tissues. Males can present with various clinical manifestations, including adrenal insufficiency, spinal cord disease, and leukodystrophy. Female patients typically develop spinal cord disease and peripheral neuropathy. Predicting the clinical outcome of an individual patient remains impossible due to the lack of genotype-phenotype correlation and predictive biomarkers.

methodsThe availability of a large prospective cohort of well-characterized patients and associated biobank samples allowed us to investigate the relationship between lipidome and disease severity in ALD. We performed a lipidomic analysis of plasma samples from 24 healthy controls, 92 male and 65 female ALD patients.

resultsHere we show that VLCFA are incorporated into different lipid classes, including lysophosphatidylcholines, phosphatidylcholines, triglycerides, and sphingomyelins. Our results show a strong association between higher levels of VLCFA-containing lipids and the presence of leukodystrophy, adrenal insufficiency, and severe spinal cord disease in male ALD patients. In female ALD patients, VLCFA-lipid levels correlate with X-inactivation patterns in blood mononuclear cells, and higher levels are associated with more severe disease manifestations. Finally, hematopoietic stem cell transplantation significantly reduces, but does not normalize, plasma C26:0-lysophosphatidylcholine levels in male ALD patients. Our findings are supported by the concordance of C26:0-lysophosphatidylcholine and total VLCFA analysis with the lipidomics results.

conclusionsThis study reveals the profound impact of ALD on the lipidome and provides potential biomarkers for predicting clinical outcomes in ALD patients.

Identifiers

PMID39256476
PMCPMC11387402

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.