An MRI-informed histo-molecular analysis implicates ependymal cells in the pathogenesis of periventricular pathology in multiple sclerosis
Bibliographic record
Abstract
Abstract It is now widely recognized that the cerebrospinal fluid (CSF)-adjacent brain surfaces – namely the subpial cortical region and the ependyma-adjacent periventricular region – are uniquely susceptible to a distinct, diffuse form of pathology in multiple sclerosis. So-called surface-in gradients of pathology predict future disease relapses independent of classical white matter lesions and are thought to occur as a result of cytotoxic factors in the CSF. Given the underlying mechanisms driving surface-in gradients appear to be distinct, they represent a novel treatment target. However, exactly how cytotoxic factor entry into the brain is regulated at these CSF-facing borders is not understood, particularly at the ventricular interface. Indeed, although studies have indicated that ependymal cells may be damaged in MS, there has yet to be a comprehensive assessment of cell health in the disease. We employed ultra-high-field MRI-guided immunohistochemistry, electron microscopy, and multiomic single nucleus RNA/ATAC sequencing to deeply phenotype human ependymal cells in MS. Our data revealed that ependymal cell pathology is a direct correlate of periventricular surface-in gradients of pathology in MS, and that the immune-responsive, reactive state assumed by ependymal cells is associated with widespread transporter and junctional protein gene dysregulation. We then further defined the gene regulatory networks underpinning the MS ependymal state, predicted ligands known to be enriched in MS CSF that could drive the emergence of this state, and tested one candidate in vivo . We found that IFNγ increased murine ependymal permeability and that conditional knockout of ependymal interferon gamma receptor 1 (Ifngr1) was sufficient to reverse this effect. Our data directly implicate ependymal cell dysregulation in the emergence of periventricular pathology in MS. More widely, we denote the modulatory capacity of CSF ligands on ependymal cell function and how this may influence the inflammatory status of the periventricular region. Graphical Abstract
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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".