Direct and Indirect Effects of Immune and Central Nervous System–Resident Cells on Human Oligodendrocyte Progenitor Cell Differentiation
Bibliographic record
Abstract
In multiple sclerosis, successful remyelination within the injured CNS is largely dependent on the survival and differentiation of oligodendrocyte progenitor cells. During inflammatory injury, oligodendrocytes and oligodendrocyte progenitor cells within lesion sites are exposed to secreted products derived from both infiltrating immune cell subsets and CNS-resident cells. Such products may be considered either proinflammatory or anti-inflammatory and have the potential to contribute to both injury and repair processes. Within the CNS, astrocytes also contribute significantly to oligodendrocyte biology during development and following inflammatory injury. The overall objective of the current study was to determine how functionally distinct proinflammatory and anti-inflammatory human immune cell subsets, implicated in multiple sclerosis, can directly and/or indirectly (via astrocytes) impact human oligodendrocyte progenitor cell survival and differentiation. Proinflammatory T cell (Th1/Th17) and M1-polarized myeloid cell supernatants had a direct cytotoxic effect on human A2B5(+) neural progenitors, resulting in decreased O4(+) and GalC(+) oligodendrocyte lineage cells. Astrocyte-conditioned media collected from astrocytes pre-exposed to the same proinflammatory supernatants also resulted in decreased oligodendrocyte progenitor cell differentiation without an apparent increase in cell death and was mediated through astrocyte-derived CXCL10, yet this decrease in differentiation was not observed in the more differentiated oligodendrocytes. Th2 and M2 macrophage or microglia supernatants had neither a direct nor an indirect impact on oligodendrocyte progenitor cell differentiation. We conclude that proinflammatory immune cell responses can directly and indirectly (through astrocytes) impact the fate of immature oligodendrocyte-lineage cells, with oligodendrocyte progenitor cells more vulnerable to injury compared with mature oligodendrocytes.
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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 | 0.000 |
| 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".