Differential effects of Th1 and Th2 lymphocyte supernatants on human microglia
Bibliographic record
Abstract
We assessed the effects of soluble molecules (supernatants) produced by pro- (Th1) and anti- (Th2) inflammatory T-cell lines on the capacity of adult human CNS-derived microglia to express or produce selected cell surface and soluble molecules that regulate immune reactivity or impact on tissue protection/repair within the CNS. Treatment of microglia with supernatants from allo-antigen and myelin basic protein-specific Th1 cell lines augmented expression of cell surface molecules MHC class II, CD80, CD86, CD40, and CD54, enhanced the functional antigen-presenting cell capacity of microglia in a mixed lymphocyte reaction, and increased cytokine/chemokine secretion (TNFalpha, IL-6, and CXCL10/IP-10). These Th1-induced effects were not reproduced by interferon-gamma (IFNgamma) alone and were only incompletely blocked by anti-IFNgamma antibody. Th2 cell supernatant treatments did not alter costimulatory/adhesion molecule expression or induce cytokine/chemokine production by microglia. Th2 treatment, furthermore, failed to reduce the induction observed in response to Th1 supernatants. Neither Th1 nor Th2 supernatants induced production of the neurotrophin molecules, nerve growth factor, or brain-derived neurotrophic factor. Our results suggest that soluble molecules released by Th1 and not Th2 cells that infiltrate the CNS can stimulate resident microglia to acquire enhanced effector and accessory cell functions; the Th1-induced effects were not downregulated by Th2 supernatant-mediated bystander suppression.
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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) | 0.000 | 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".