Peripheral inflammation effects on retinal phagocytic system
Bibliographic record
Abstract
Abstract Purpose To study how a unilateral arthritic inflammatory process, affecting the peripheral nervous system, can activate the mononuclear phagocytic system at retinal level. Methods An experimental model of peripheral inflammatory process produced by an intraplantar injection of Freund's complete adjuvant (FCA) in the left hind limb was induced to adult C57BL/6J lysozyme M‐eGFP‐knock‐in (LysM‐eGFP) mice that express LysM‐eGFP selectively in myelomonocytic cells. FCA, sham and naïve mice were processed at different survival times (ranging 1–10 days post‐lesion). Retinas were prepared as whole‐mounts and histologically analyzed for microglia markers and LysM‐eGFP expression. Results After FCA administration morphological signs compatibles with microglial activation were observed in the eGFP+ cells in the innermost layer of the retina, persisting along the time‐course of study. The three sub‐population of eGFP+ cells identified, amoeboid, ramified and peripheral, showed significant and relevant changes in the distribution pattern respect to that observed in untreated retinas from sham or naïve mice. The quantitative analysis showed statistically significant changes in the expression of eGFP+ and Iba‐1+ for all cell sub‐population in the course of time. However, the number of eGFP+ and Iba‐1 immunonegative amoeboid cells was constant and similar to those of sham or control retinas. Conclusions Induction of a peripheral inflammatory process by administration of FCA elicits a response from the peripheral bone marrow‐derived monocyte‐macrophage population at retinal level, where these cells are recruited and transformed into microglia.
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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 | 0.001 |
| 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".