Neuropathological and cerebrospinal fluid correlates of choroid plexus inflammation in progressive multiple sclerosis
Bibliographic record
Abstract
Abstract Among the intrathecal inflammatory niches where compartmentalized inflammation persists and plays a pivotal role in progressive multiple sclerosis (MS), choroid plexus (CP) has recently received renewed attention. To better characterize the neuropathological/molecular correlates of CP in progressive MS and its potential link with other brain inflammatory compartments, such as perivascular spaces and leptomeninges, the levels, composition and phenotype of CP immune infiltration in lateral ventricles of the hippocampus were examined in 40 post‐mortem pathologically confirmed MS and 10 healthy donors, using immunochemistry/immunofluorescence and in‐situ sequencing. Significant inflammation was detected in the CP of 21 out of the 40 MS cases (52%). The degree of CP inflammation was found correlated with: number of CP macrophages (R: 0.878, p = 1.012 x 10‐13) and high frequency of innate immune cells expressing the markers MHC‐class II, CD163, CD209, CD11c, TREM2 and TSPO; perivascular inflammation (R: 0.509, p = 7.921 x 10‐4), and less with meningeal inflammation (R: 0.365, p = 0.021); number of active lesions (R: 0.51, p: 3.524 x 10‐5). However, it did not significantly correlate with any clinical/demographic characteristics of the examined population. In‐situ sequencing analysis of gene expression in the CP of 3 representative MS cases and 3 controls revealed regulation of inflammatory pathways mainly related to ‘type 2 immune response’, ‘defense to infections’, ‘antigen processing/presentation’. Analysis of 78 inflammatory molecules in paired post‐mortem CSF, the levels of fibrinogen (R: 0.640, p = 8.752 x 10‐6), PDGF‐bb (R: 0.470, p = 0.002), CXCL13 (R: 0.428, p = 0.006) and IL15 (R: 0.327, p = 0.040) were correlated with extent of CP inflammation. Elevated fibrinogen and complement deposition were found in CP and in underlying subependymal periventricular areas, according to “surface‐in” gradient associated with concomitant prominent microglia activation. CP inflammation, predominantly characterized by innate immunity, represents another key determinant of intrathecal, compartmentalised inflammation persisting in progressive MS, which may be possibly activated by fibrinogen and influence periventricular pathology, even without substantial association with clinical features.
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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 | 0.001 |
| 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) | 0.002 | 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".