Vascular dysfunction in Huntington’s disease is located at the blood-CSF barrier and is rescued by sphingosine-1-phosphate receptor agonist
Bibliographic record
Abstract
ABSTRACT Brain vascular barriers are dysfunctional in many neurological disorders, including Huntington’s disease (HD), but which vessels are affected and how remains unclear. Using in vivo two-photon microscopy in R6/2 HD-model mice, we reveal a striking divergence in barrier dysfunction. Surface vessels of the blood-cerebrospinal fluid barrier (BCSFB) drive pathology by paracellular leakage, while the blood-brain barrier (BBB) of parenchymal arterioles and capillaries exhibited increased vesicular transport and adsorptive-mediated transcytosis (AMT), with arterioles being the most susceptible segment. The pathology of both barriers was congruent with astrocyte activation localized to affected vessels in R6/2 mice, as well as in post-mortem HD human brains. Sphingosine-1-phosphate receptor 1 (S1PR1) agonist treatment rescued BCSFB leakage but only partially restored BBB function, selectively reducing AMT in arterioles, with no effect in capillaries and venules. These findings redefine HD vascular pathology, demonstrating heterogeneous, vessel-type-specific barrier failure beyond generalized “disruption,” uncovering mechanistic vulnerabilities and the therapeutic potential of S1PR1 modulation.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".