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Hematopoietic Stem Cell Transplantation in Late-Onset Krabbe Disease Halts Demyelination and Axonal Loss: A 4-Year Longitudinal Case Study (S38.002)

2016· article· en· W2484186823 on OpenAlexaff
Cornelia Laule, Elham Shahinfard, Burkhard Mädler, Irene M. Vavasour, Jing Zhang, Ritu B. Aul, David Li, Alex L. MacKay, Sandra Sirrs

Bibliographic record

VenueNeurology · 2016
Typearticle
Languageen
FieldMedicine
TopicLysosomal Storage Disorders Research
Canadian institutionsNorth York General HospitalUniversity of British Columbia
Fundersnot available
KeywordsKrabbe diseaseTransplantationMedicineHematopoietic stem cell transplantationStem cellDiseaseNeurosciencePathologyBiologyInternal medicineLeukodystrophyCell biology

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the effect of allogeneic hematopoietic stem cell transplantation (HSCT) on myelin and axons in late-onset Krabbe disease 4 years post-procedure. BACKGROUND: Late-onset Krabbe disease is a rare demyelinating leukodystrophy. Historically, treatment was supportive until death (2-7 years). Recent research has focused on HSCT; one case study found HSCT halted symptom progression at 24 months post-HSCT. Conventional MRI can show brain lesions in Krabbe disease but not changes in the normal appearing white matter (NAWM). MRI techniques specific to myelin and axons can characterize pathology and provide insight into the effects of HSCT on the on-going disease processes. To our knowledge, this is the longest advanced imaging follow-up in late-onset Krabbe disease and the first report using high-field MRI. METHODS: A 42 year old female with late-onset Krabbe disease and an age/gender-matched control underwent 3.0T MRI (baseline, year 1, 2, 3, 4; baseline was immediately prior to HSCT for the Krabbe subject). Standard clinical scans, 3D myelin water imaging, diffusion tensor imaging (fibre characterization/white matter integrity) and magnetic resonance spectroscopy (brain metabolites including n-acetyl-aspartate (NAA), related to axons) were collected. RESULTS: At baseline, global NAWM of the Krabbe subject showed 30[percnt] less myelin, 20[percnt] reduced NAA, 10[percnt] reduced fractional anisotropy and 30[percnt] increased myo-Inositol (glial cell marker and osmolyte) compared to control. Conventional MRI showed no evidence of new disease activity 4 years post-HSCT. All advanced imaging measures remained stable from baseline to year 4 in both the Krabbe subject and the control. CONCLUSIONS: HSCT in late-onset Krabbe disease halts demyelination and axonal loss up to 4 years post-HSCT. A global process of NAWM damage occurs in late-onset Krabbe disease beyond the findings visible on conventional MRI, with myelin being more affected than axons. However, damage did not worsen over time, supporting HSCT as an effective treatment strategy.

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)0.001
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.025
GPT teacher head0.293
Teacher spread0.268 · 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 designCase report
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
Published2016
Admission routes1
Has abstractyes

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