The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Phenotypic spectrum of neurodegeneration associated with mutations in the PLA2G6 gene (PLAN)
Abstract
BACKGROUND: Neurodegeneration associated with brain iron accumulation (NBIA) comprises a heterogeneous group of disorders in which disruption of cellular mechanisms leads to accumulation of iron in the basal ganglia. This group includes patients with recently discovered mutations in the PLA2G6 gene encoding a calcium-independent phospholipase A2 enzyme that catalyzes the hydrolysis of glycerophospholipids. Previously, children with PLA2G6 mutations have been diagnosed with several different disorders and we wished to better define the phenotype of PLA2G6- associated neurodegeneration. METHODS: Detailed review of the clinical and genetic features of 14 and radiologic features of 13 of these patients with PLA2G6 mutations was undertaken. RESULTS: Median age of symptom presentation was 14 months. One third of the cohort presented following an intercurrent illness. The children had progressive cognitive and motor skill regression, with evidence of axial hypotonia, four limb spasticity, bulbar dysfunction, and strabismus. All patients developed cerebellar ataxia and dystonia. Most patients had optic atrophy. Brain imaging demonstrated cerebellar cortical atrophy and gliosis in all patients. Changes consistent with increased iron deposition were identified in the globus pallidus and substantia nigra. Novel corpus callosum changes are also reported. CONCLUSION: We describe a cohort of patients with PLA2G6-associated neurodegeneration (PLAN). Although patients with PLAN have previously been diagnosed with infantile neuroaxonal dystrophy, neurodegeneration associated with brain iron accumulation, and Karak syndrome, they display a characteristic clinical and radiologic phenotype. PLA2G6 mutational analysis will negate the need for more invasive diagnostic procedures such as tissue biopsy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Iron, brain ageing and neurodegenerative disorders
Zecca, L., Youdim, M. B. H., Riederer, P., Connor, J. R., & Crichton, R. R. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1537 · Cited by 1,801
Cited by
The role of iron in brain ageing and neurodegenerative disorders
Ward, R. J., Zucca, F. A., Duyn, J. H., Crichton, R. R., & Zecca, L. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70117-6 · Cited by 1,819
Dennis, E. A., Cao, J., Hsu, Y.-H., Magrioti, V., & Kokotos, G. (2011) · Chemical Reviews · doi:10.1021/cr200085w · Cited by 1,203
Iron metabolism in the CNS: implications for neurodegenerative diseases
Rouault, T. A. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3453 · Cited by 496
Adibhatla, R. M., & Hatcher, J. F. (2010) · Antioxidants & Redox Signaling · doi:10.1089/ars.2009.2668 · Cited by 480
Clinical and genetic delineation of neurodegeneration with brain iron accumulation
Gregory, A., Polster, B. J., & Hayflick, S. J. (2009) · Journal of Medical Genetics · doi:10.1136/jmg.2008.061929 · Cited by 364
Metadata
- Authors
- Kurian, M. A., Morgan, N. V., MacPherson, L., Foster, K., Peake, D., Gupta, R., Philip, S. G., Hendriksz, C., Morton, J. E. V., Kingston, H. M., Rosser, E. M., Wassmer, E., Gissen, P., & Maher, E. R.
- Venue
- Neurology
- Published
- 2008-04-29
- Volume
- 70
- Issue
- 18
- Pages
- 1623-1629
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- OpenAlex
- W2044474129
- Cited by
- 238
- References
- 1
- FWCI
- 10.49
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Phenotypic spectrum of neurodegeneration associated with mutations in the PLA2G6 gene (PLAN). https://app.cochat.ai/papers/10.1212/01.wnl.0000310986.48286.8e
- The paper
- Kurian, M. A., Morgan, N. V., MacPherson, L., Foster, K., Peake, D., Gupta, R., Philip, S. G., Hendriksz, C., Morton, J. E. V., Kingston, H. M., Rosser, E. M., Wassmer, E., Gissen, P., & Maher, E. R. (2008). Phenotypic spectrum of neurodegeneration associated with mutations in the PLA2G6 gene (PLAN). Neurology. https://doi.org/10.1212/01.wnl.0000310986.48286.8e
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.