More antigen-dependent CD4+ T cell / CD4+ T cell interactions are required for the primary generation of Th2 than of Th1 cells
Bibliographic record
Abstract
Mechanisms controlling the Th1 / Th2 phenotype of a primary immune response are often discussed assuming that the generation of Th1 and Th2 cells from the common CD4(+) precursor T helper (pTh) involves an interaction of this pTh cell with an antigen-presenting cell (APC) in the form of a two-cell interaction. Other studies suggest that the outcome of this two-cell interaction is modified by the presence of other T cells. No study has analyzed primary immune responses generated in normal, non-TcR transgenic mice, following the administration of a non-infectious antigen administered without adjuvant. We show that the Th1 / Th2 phenotype of such a primary response, generated in lethally irradiated recipients reconstituted with a variety of unprimed spleen cells, depends conjointly on the amount of antigen and number of unprimed syngeneic CD4(+) T cells present, with higher amounts and numbers favoring the generation of Th2 cells. Our observations show how these quantitative variables control in an interdependent manner the Th1 / Th2 phenotype of a primary immune response, and bear upon the mechanism by which this phenotype is determined.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".