Tumor associated macrophages and its nanovesicles: Immunological insights in cerebral glioma
Bibliographic record
Abstract
Purpose: The immune system has a key role in glioma progression, especially the tumor associated macrophages (TAMs). In-vivo, we aimed to study the total TAMs and differential M1 and M2 TAM infiltration in low grade (LGG) versus high grade gliomas (HGG). Also, we investigated the implication of total TAMs and differential M1 and M2 TAMs infiltration on glioma progression. In-vitro, we studied the effect of soluble factors present in nanovesicles (NV) released from M1 TAMs on the fate of glioma cells.Methods: In-vivo, we performed immunohistochemistry using iNOS and CD163 (markers for M1 and M2 respectively). In-vitro, we polarized the human monocytes U937 cell line into M1, we isolated the NV from the M1-conditioned medium (CM) by centrifugation and filtration; then, the protein content of the NV was quantified by the protein assay. We added M1-NV on U251 glioma cells and we studied the cellular activation of glioma cells using the MTT assay. To assess the apoptosis of U251, we used the flow-cytometry. Apoptotic cells were identified by annexin V and Propidium Iodide (markers for early and late apoptosis respectively).Results: in-vivo, there is an M1/M2 imbalance in early stages of glioma which is associated with earlier progression to high malignancy. Also, the higher M2 infiltration, the earlier is the progression. In-vitro, M1-NV had a more potent anti-tumor effect compared to its corresponding CM. We assume that our experimental results can be a future treatment for the cerebral glioma.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".