Mutant huntingtin protein expression and blood–spinal cord barrier dysfunction in huntington disease
Bibliographic record
Abstract
OBJECTIVE: The aim of the study was to assess the distribution, frequency, and specific location of mutant huntingtin protein (mHTT) aggregates-the pathological hallmark of Huntington disease (HD)-within the various compartments of the spinal cord and their potential impact on the local vasculature and blood-spinal cord barrier (BSCB). METHODS: We performed a series of postmortem immunohistochemical and immunofluorescent stainings, as well as Western blot analyses, on cervical and lumbar sections of the spinal cord in patients diagnosed with HD (n = 11 of all grades of disease severity) along with sex- and age-matched healthy controls (n = 9). RESULTS: We observed that mHTT was preferably expressed within the anterior horn of the gray matter, in both cervical and lumbar sections. At the cellular level, mHTT aggregates were more often encountered in the extracellular matrix but could also be observed within cell bodies and neurites as well as within the endothelium of blood vessels with an increase in the density of small blood vessels in cervical sections of HD cases. These vasculature changes were accompanied with features of BSCB leakage, as assessed by the presence of increased levels of fibrinogen in the surrounding parenchyma and enhanced leukocyte infiltration. INTERPRETATION: This alteration in BSCB integrity may be explained, in part, by the dysregulation we found in some of the main proteins associated with it such as junctional adhesion molecule-1 and vascular endothelial cadherin. These observations have important implications for our understanding of HD pathology and may also have significant therapeutic implications. Ann Neurol 2017;82:981-994.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".