ArticleJournal of neurology2018
Brain diffusion tensor imaging changes in cerebrotendinous xanthomatosis reversed with treatment.
Article in Journal of neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Information Theory Analysis of CTX Shows Consistent Clinical Presentation.Journal of inherited metabolic disease · 2025Pooled it
- Cerebrotendinous xanthomatosis: a literature review and case study.Frontiers in cardiovascular medicine · 2024Review
- Using fiber tractography and diffusion kurtosis imaging to evaluate neuroimaging changes in patients with cerebrotendinous xanthomatosis after stopping chenodeoxycholic acid treatment for three years.Biomedical journal · 2022Article
- Cerebrotendinous Xanthomatosis: Molecular Pathogenesis, Clinical Spectrum, Diagnosis, and Disease-Modifying Treatments.Journal of atherosclerosis and thrombosis · 2021Article
- Familial variability of cerebrotendinous xanthomatosis lacking typical biochemical findings.JIMD reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cerebrotendinous xanthomatosis (CTX, MIM 213700) is a rare autosomal recessive lipid storage disorder caused by CYP27A1 mutations. Treatment with chenodeoxycholic acid (CDCA) may slow the progression of the disease and reverse some symptoms in a proportion of patients. In a non-consanguineous Caucasian family, two siblings with CTX were evaluated before treatment and prospectively followed-up every 6 months after starting CDCA therapy, using systematic clinical examination, neuropsychological tests, laboratory tests, electroencephalography (EEG) and brain MRI, diffusion tensor imaging (DTI) and tractography. A 30-year-old patient and her 27-year-old brother were referred for progressive spastic paraparesis. Both had epilepsy, learning difficulties, chronic diarrhoea and juvenile-onset cataracts. CTX was diagnosed by increased cholestanol levels and compound heterozygosity for CYP27A1 mutations. Therapy with CDCA led to resolution of chronic diarrhoea, normalisation of serum cholestanol and EEG, and a progressive improvement in gait, cognition and seizure control. Before treatment, conventional brain MRI showed no CTX-related abnormalities for the proband and no cerebellar abnormalities for the brother, while DTI showed reduced fractional anisotropy (FA) and tract-density in the cerebellum and widespread cerebral reductions of FA in both patients, compared to a group of 35 healthy controls. Repeated DTI after starting therapy showed progressive increases of cerebellar tract density and of cerebral FA. In patients with CTX, therapy with CDCA may lead to significant clinical improvement, with normalisation of biochemical and electrophysiological biomarkers. DTI and tractography may detect changes when the conventional MRI is unremarkable and may provide potential neuroimaging biomarkers for monitoring treatment response in CTX, while the conventional MRI remains unchanged.
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Registered trials
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.