Proliferating resident microglia express the stem cell antigen CD34 in response to acute neural injury
Bibliographic record
Abstract
Reactive microgliosis is a highly characteristic response to neural injury and disease, which may influence neurodegenerative processes and neural plasticity. We have investigated the origin and characteristics of reactive microglia in the acute phase of their activation in the dentate gyrus following transection of the entorhino-dentate perforant path projection. To investigate the possible link between microglia and hematopoietic precursors, we analyzed the expression of the stem cell marker CD34 by lesion-reactive microglia in conjunction with the proliferation marker bromodeoxyuridine (BrdU) and the use of radiation bone marrow (BM) chimeric mice. We found that CD34 is upregulated on early-activated resident microglia, rather than by infiltrating bone marrow-derived cells. The number of CD34(+) microglia peaked at day 3 when 67% of the resident CD11b/Mac-1(+) microglia co-expressed CD34, and all CD34(+) cells co-expressed Mac-1, and decreased sharply toward day 5, unlike Mac-1, which was maximally expressed at day 5. Approximately 80% of the CD34(+) cells in the denervated dentate gyrus had incorporated BrdU into their nuclei at day 3. We also showed that CD34 is upregulated on early-activated microglia in the facial motor nucleus following peripheral axotomy. The results suggest lesion-reactive microglia to consist of functionally distinct subpopulations of cells; a major population of activated resident CD34(+)Mac-1(+) microglia with a high capacity for self-renewal, and a subpopulation of CD34(-)Mac-1(+) microglia which has a mixed extrinsic and intrinsic origin and whose proliferative capacity is unknown.
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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".