Down-Regulation of ICOS Ligand by Interaction with ICOS Functions as a Regulatory Mechanism for Immune Responses
Bibliographic record
Abstract
Although it is well-known that the ICOS-ICOS ligand (ICOSL) costimulatory pathway is important for many immune responses, recent accumulated evidence suggests that dysregulation of this pathway may lead to and/or exaggerate autoimmune responses. ICOS is induced on the cell surface after T cell activation. Similarly, ICOSL is up-regulated on APCs by several mitogenic stimuli. However, the mechanism regulating expression of the ICOS-ICOSL pair, and the significance of controlling their expression for an appropriate immune response, is largely unknown. To gain a better understanding of the importance of fine control of the ICOS-ICOSL costimulatory pathway, we generated ICOS-transgenic (Tg) mice that have high constitutive expression of ICOS in all T cells. Using ICOS-Tg mice, we studied whether in vivo immune responses were affected. Unexpectedly, we first found that ICOS-Tg mice exhibited a phenotype resembling ICOS-deficient mice in their Ag-specific Ab response, such as a defect in class switch recombination. Further examination revealed that ICOSL expression of APCs was significantly suppressed in ICOS-Tg mice. Interestingly, suppression of ICOSL was induced by interaction of ICOSL with ICOS, and it seemed to be regulated at the posttranscriptional level. The suppressive effect of the ICOS-ICOSL interaction overcame the positive effect of CD40 or B cell activation factor of the TNF family (BAFF) stimulation on ICOSL expression. Together, our studies demonstrate a novel mechanism for the regulation of ICOSL expression in vivo and suggest that the ICOS costimulatory pathway is subject to negative feedback regulation by ICOSL down-regulation in response to ICOS expression.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".