Evidence map›Paper›PMID 39704488›Full record

ArticleJournal of inherited metabolic disease2025

Altered lipid profile and reduced neuronal support in human induced pluripotent stem cell-derived astrocytes from adrenoleukodystrophy patients.

Roberto Montoro Ferrer, Yorrick R J Jaspers, Inge M E Dijkstra, Nicole Breeuwsma, Jan-Bert van Klinken, Cato Romero, Marc Engelen, Stephan Kemp, Vivi M Heine

Abstract read
In one paragraph

Article in Journal of inherited metabolic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Lipid signature in X-ALD: a comparison between phenotypes.Frontiers in molecular biosciences · 2026
    Article
  4. Review
  5. Article
  6. 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

9 authors.

Roberto Montoro FerrerLaboratory Genetic Metabolic Diseases, Department of Laboratory Medicine, Amsterdam UMC, Amsterdam Gastroenterology Endocrinology Metabolism, University of Amsterdam, Amsterdam, The Netherlands.
Yorrick R J JaspersLaboratory Genetic Metabolic Diseases, Department of Laboratory Medicine, Amsterdam UMC, Amsterdam Gastroenterology Endocrinology Metabolism, University of Amsterdam, Amsterdam, The Netherlands.
Inge M E DijkstraLaboratory Genetic Metabolic Diseases, Department of Laboratory Medicine, Amsterdam UMC, Amsterdam Gastroenterology Endocrinology Metabolism, University of Amsterdam, Amsterdam, The Netherlands.
Nicole BreeuwsmaDepartment of Child and Adolescence Psychiatry, Emma Children's Hospital, Amsterdam UMC Location, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands.
Jan-Bert van KlinkenLaboratory Genetic Metabolic Diseases, Department of Laboratory Medicine, Amsterdam UMC, Amsterdam Gastroenterology Endocrinology Metabolism, University of Amsterdam, Amsterdam, The Netherlands.
Cato RomeroDepartment of Complex Trait Genetics, Centre for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Marc EngelenDepartment of Pediatric Neurology, Emma Children's Hospital, Amsterdam UMC, Amsterdam Leukodystrophy Center, Amsterdam Neuroscience, University of Amsterdam, Amsterdam, The Netherlands.
Stephan KempLaboratory Genetic Metabolic Diseases, Department of Laboratory Medicine, Amsterdam UMC, Amsterdam Gastroenterology Endocrinology Metabolism, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-2023-064X
Vivi M HeineDepartment of Complex Trait Genetics, Centre for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Funding

Amsterdam UMC (FlexOIO)Association Européenne contre les Leucodystrophies 2019-020C2Nederlandse Organisatie voor Wetenschappelijk Onderzoek 016.196.310Stichting Metakids 2023-102
6 · The paper itself

Abstract

X-linked adrenoleukodystrophy (ALD) is a peroxisomal disorder resulting from pathogenic variants in the ABCD1 gene that primarily affects the nervous system and is characterized by progressive axonal degeneration in the spinal cord and peripheral nerves and leukodystrophy. Dysfunction of peroxisomal very long-chain fatty acid (VLCFA) degradation has been implicated in ALD pathology, but the impact on astrocytes, which critically support neuronal function, remains poorly understood. Fibroblasts from four ALD patients were reprogrammed to generate human-induced pluripotent stem cells (hiPSC). hiPSC-derived astrocytes were generated to study the impact of ALD on astrocytic fatty acid homeostasis. Our study reveals significant changes in the lipidome of ALD hiPSC-derived astrocytes, characterized by an enrichment of VLCFAs across multiple lipid classes, including triacylglycerols, cholesteryl esters, and phosphatidylcholines. Importantly, ALD hiPSC-derived astrocytes not only exhibit intrinsic lipid dysregulation but also affect the dendritic tree complexity of neurons in co-culture systems. These findings highlight the cell-autonomous effects of pathogenic variants in the ABCD1 protein on astrocytes and their microenvironment, shed light on potential mechanisms underlying ALD neuropathology, and underscore the critical role of astrocytes in neuronal health.

Indexed as

AdrenoleukodystrophyAstrocytesATP Binding Cassette Transporter, Subfamily D, Member 1Induced Pluripotent Stem CellsCells, CulturedCoculture TechniquesFatty AcidsFibroblastsHumansLipid MetabolismMaleNeuronsABCD1 protein, humanATP Binding Cassette Transporter, Subfamily D, Member 1Fatty AcidsABCD1 geneastrocyteshuman‐induced pluripotent stem cellslipid homeostasisperoxisomeX‐linked adrenoleukodystrophy

Identifiers

PMID39704488
PMCPMC11660744

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Registered trials

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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.