Projects per year
Personal profile
Research interests
Peroxisomal metabolic disorders
Leukodystrophies
The Department of Pediatric Neurology is a subdivision of the Department of Neurology and the Department of Pediatrics. The research program of the department is focused on clinical and translational research concerning leukodystrophies and neonatal neurology. These two main themes are imbedded in the nine translational research programs of Amsterdam Neuroscience, the research institute of neuroscience investigators in the Amsterdam area. All staff members of the Department of Pediatric Neurology are involved in research and collaborate within Neuroscience Amsterdam, with other academic and non-academic hospitals, and with international research groups.
Leukodystrophies
As expertise center for leukodystrophies in The Netherlands, the department has a long tradition in clinical characterization of large cohorts of leukodystrophy patients, studies with advanced MRI techniques and gene finding studies. There is close collaboration with laboratory scientists. Cell and mouse models are used to study pathophysiology of leukodystrophies. Several clinical trials have been performed the past decade and it is our ambition to be a center for large multicenter international trials. There is specific emphasis on:
- Vanishing white matter and metachromatic leukodystrophy
- Hypomyelinating disorders like 4H syndrome and Pelizaeus Merzbacher disease
- Peroxisomal disorders, specifically X-linked adrenoleukodystrophy and Zellweger spectrum disorders
- Defects of white matter ion and water homeostasis
specialisation
(pediatric) neurology
Collaborations and top research areas from the last five years
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Adrenoleukodystrophy (ALD): from axonal degeneration to clinical trial readiness.
Engelen, M. (Principal investigator)
01/10/2019 → …
Project: Research
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The promise of MRI for unraveling Galactosemia
Bosch, A. (Staff), Engelen, M. (Staff) & Caan, M. (Staff)
01/01/2018 → 30/06/2019
Project: Research
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Lovastatin in X-Linked Adrenoleukodystrophy
Engelen, M., Ofman, R., Dijkgraaf, M. G. W., Hijzen, M., van der Wardt, L. A., van Geel, B. M., de Visser, M., Wanders, R. J. A., Poll-The, B. T. & Kemp, S., 2010, In: New England journal of medicine. 362, 3, p. 276-277Research output: Contribution to journal › Comment/Letter to the editor › Academic
49 Citations (Scopus) -
X-linked adrenoleukodystrophy in women: a cross-sectional cohort study
Engelen, M., Barbier, M., Dijkstra, I. M. E., Schür, R., de Bie, R. M. A., Verhamme, C., Dijkgraaf, M. G. W., Aubourg, P. A., Wanders, R. J. A., van Geel, B. M., de Visser, M., Poll-The, B. T. & Kemp, S., 2014, In: Brain. 137, Part 3, p. 693-706Research output: Contribution to journal › Article › Academic › peer-review
185 Citations (Scopus) -
X-linked adrenoleukodystrophy (X-ALD): clinical presentation and guidelines for diagnosis, follow-up and management: Clinical presentation and guidelines for diagnosis, follow-up and management
Engelen, M., Kemp, S., de Visser, M., van Geel, B. M., Wanders, R. J. A., Aubourg, P. & Poll-The, B. T., 2012, In: Orphanet journal of rare diseases. 7, 1Research output: Contribution to journal › Review article › Academic › peer-review
Open Access426 Citations (Scopus) -
Bezafibrate lowers very long-chain fatty acids in X-linked adrenoleukodystrophy fibroblasts by inhibiting fatty acid elongation
Engelen, M., Schackmann, M. J. A., Ofman, R., Sanders, R.-J., Dijkstra, I. M. E., Houten, S. M., Fourcade, S., Pujol, A., Poll-The, B. T., Wanders, R. J. A. & Kemp, S., 2012, In: Journal of inherited metabolic disease. 35, 6, p. 1137-1145Research output: Contribution to journal › Article › Academic › peer-review
34 Citations (Scopus) -
Adrenoleukodystrophy - neuroendocrine pathogenesis and redefinition of natural history
Kemp, S., Huffnagel, I. C., Linthorst, G. E., Wanders, R. J. & Engelen, M., 2016, In: Nature reviews. Endocrinology. 12, 10, p. 606-615Research output: Contribution to journal › Review article › Academic › peer-review
200 Citations (Scopus)
Datasets
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Additional file 2: of Disease progression in women with X-linked adrenoleukodystrophy is slow
Huffnagel, I. C. (Creator), Dijkgraaf, M. G. W. (Creator), Janssens, G. E. (Creator), Van Weeghel, M. (Contributor), Van Geel, B. M. (Contributor), Poll-The, B. T. (Contributor), Kemp, S. (Creator) & Engelen, M. (Creator), Figshare, 2019
DOI: 10.6084/m9.figshare.7693298.v1, https://springernature.figshare.com/articles/Additional_file_2_of_Disease_progression_in_women_with_X-linked_adrenoleukodystrophy_is_slow/7693298/1
Dataset
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Additional file 1: of Disease progression in women with X-linked adrenoleukodystrophy is slow
Huffnagel, I. C. (Creator), Dijkgraaf, M. G. W. (Creator), Janssens, G. E. (Creator), Van Weeghel, M. (Contributor), Van Geel, B. M. (Contributor), Poll-The, B. T. (Contributor), Kemp, S. (Creator) & Engelen, M. (Creator), Figshare, 2019
DOI: 10.6084/m9.figshare.7693295, https://springernature.figshare.com/articles/Additional_file_1_of_Disease_progression_in_women_with_X-linked_adrenoleukodystrophy_is_slow/7693295
Dataset
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Additional file 2: of Disease progression in women with X-linked adrenoleukodystrophy is slow
Huffnagel, I. C. (Creator), Dijkgraaf, M. G. W. (Creator), Janssens, G. E. (Creator), Van Weeghel, M. (Contributor), Van Geel, B. M. (Contributor), Poll-The, B. T. (Contributor), Kemp, S. (Creator) & Engelen, M. (Creator), Figshare, 2019
DOI: 10.6084/m9.figshare.7693298, https://springernature.figshare.com/articles/Additional_file_2_of_Disease_progression_in_women_with_X-linked_adrenoleukodystrophy_is_slow/7693298
Dataset
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Additional file 1: of Disease progression in women with X-linked adrenoleukodystrophy is slow
Huffnagel, I. C. (Creator), Dijkgraaf, M. G. W. (Creator), Janssens, G. E. (Creator), Van Weeghel, M. (Contributor), Van Geel, B. M. (Contributor), Poll-The, B. T. (Contributor), Kemp, S. (Creator) & Engelen, M. (Creator), Figshare, 2019
DOI: 10.6084/m9.figshare.7693295.v1, https://springernature.figshare.com/articles/Additional_file_1_of_Disease_progression_in_women_with_X-linked_adrenoleukodystrophy_is_slow/7693295/1
Dataset