Heterogeneity of oligodendrocyte progenitor cells in adult human brain
Bibliographic record
Abstract
OBJECTIVE: Remyelination in multiple sclerosis has been attributed to the presence of oligodendrocyte progenitor cells (OPCs) in brain parenchyma. However, the precise identity of these progenitors is poorly defined. Here, we characterized populations of OPCs in the adult human brain and examined their myelination capacity and profile of miRNAs. Comparisons were made with fetal OPCs and mature oligodendrocytes. METHODS: We isolated human adult and fetal (early-to-mid second trimester) OPCs from surgically resected brain tissues using O4-, A2B5-, and MOG-directed fluorescence activated cell sorting and transplanted them into dysmyelinated shiverer slices to examine their myelination capacity. We used qRT-PCR to analyze expression of selective miRNAs implicated in OPC biology. RESULTS: Three subsets of putative OPCs were identified in adult brains: (1) A2B5(+), (2) O4(low), and (3) A2B5(+)O4(high)MOG(+) progenitors. In comparison, fetal brains contained (1) A2B5(+), (2) O4(+), and (3) A2B5(+)O4(+) progenitors, but no MOG(+) cells. We demonstrate that like fetal OPCs, adult OPCs have the capacity to ensheathe cerebellar axons. However, adult OPCs exhibit low to undetectable expression of miRNAs that were highly expressed in O4-expressing fetal OPCs. Adult OPCs also express different miRNAs compared to mature oligodendrocytes. INTERPRETATION: We conclude that phenotypically distinct subsets of OPCs are present in adult human brain and these OPCs show differential miRNA expression compared to fetal OPCs and mature oligodendrocytes. These suggest that remyelination in adult brain may involve multiple populations of progenitors within the brain and that OPC differentiation in adulthood may be differentially regulated compared to development.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".