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Clinical and genetic characteristics of adult cerebral adrenoleukodystrophy

2023· article· en· W6947836647 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsIrritabilityCorpus callosumWhite matterAdrenoleukodystrophyMagnetic resonance imagingDysarthriaNeurological examinationLeukodystrophy

Abstract

fetched live from OpenAlex

Objective·To summarize and analyze the clinical and genetic characteristics of adult cerebral adrenoleukodystrophy(ACALD ).Methods·The data of eight patients with ACALD who attended the Shanghai Sixth People′s Hospital, Shanghai Jiao Tong University School of Medicine from June 2018 to September 2022 were collected and comprehensively analyzed. Clinical data included age at onset, duration of disease, family history, present history and physical examination. Imaging examinations included magnetic resonance imaging (MRI) of the cranial, cervical spine and thoracic spine. Laboratory tests included serum very-long-chain fatty acids (VLCFA), adrenal cortical function and genetic test. Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (Moca) were used to assess patients′ cognitive function.Results·A total of 8 male patients with ACALD were included in this study. Ageat onset ranged from 23 to 40 years old with an average age of (32.75±5.80) years, and the disease duration ranged from 4 to 59 months. Patients′ first symptoms were highly variable. Three patients showed memory loss and cognitive dysfunction, two showed irritability and personality change, one showed mental and behavioral abnormalities, one showed dysarthria and ataxia, and one showed persistent dizziness, occipital numbness and insomnia. All the patients had multiple white matter demyelination lesions, and white matter demyelination in parietal occipital lobe and posterior corpus callosum was the most common. Enhancement MRI showed patchy Gd-enhancement of partial lesions in three cases. In two patients, magnetic resonance spectroscopy showed that choline (Cho) peak increased and N-acetyl-aspartate (NAA) peak decreased. Serum VLCFA levels of C26, C24/C22 and C26/C22 were elevated in six patients who underwent serum VLCFA examination. Seven patients underwent adrenal cortical function testing, of which six experienced adrenal cortical dysfunction. Six patients were cognitively impaired, four of whom had decreased MMSE and MoCA scores, and two of whom were unable to cooperate with the assessment due to severe cognitive impairment. Eight different ABCD1 gene mutations were identified, among which c.1750delC (p.H584Tfs*52) and c.160_170delACGCAGGAGGC (p.T54Lfs*137) were novel mutations.Conclusion·The initial symptoms of ACALD vary, among which memory loss and cognitive dysfunction are the most common. White matter demyelination lesions in the parietal and corpus callosum pressure are the most common, and imaging abnormalities precede neurological symptoms. The clinical features of the disease are hair thinning and skin pigmentation, and the biochemical features are elevated serum VLCFA and adrenal insufficiency. Missense mutations are more common in the ABCD1 gene, and exons 1 and 6 are the hot mutant exons in Chinese.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.106
GPT teacher head0.516
Teacher spread0.410 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
Has abstractyes

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