CD47low status on CD4 effectors is necessary for the contraction of the immune response in humans and mice (69.13)
Bibliographic record
Abstract
Abstract To execute a memory program, CD4 effector T cells must escape cell death and elimination and survive beyond the contraction of the immune response (IR). The involvement of Fas/FasL in the crash of IR has been challenged and the elimination of CD4 effector T cells appeared to occur independently of caspase activation. We report here that in vitro TCR-activated human CD4 T and ex vivo isolated effector memory T cells displayed a CD47low status that was linked to thrombospondin-1/CD47-induced caspase-independent cell death. By contrast, a CD47highstatus that was observed on central memory T cells and on activated CD4 T cells cultured in the presence of IL-2 correlated with resistance to CD47-mediated killing. A CD47low status was required on murine antigen (Ag)-specific CD4 effectors T cells for the contraction of the IR in vivo, as lower numbers of Ag-specific CD47low CD4 T cells were recovered when compared to Ag-specific CD47-/- CD4 T cells. Finally, the maintenance of a CD47high status on CD4 effectors despite high level of TSP-1 production was observed in inflamed tissues of patients with Crohn’s disease when compared to non-IBD donors, suggesting that a CD47high status on tissue-destructive CD4 effectors prevents the resolution of inflammatory response. In conclusion, a transient change in the status of the self-marker CD47, i.e. from CD47high to CD47low, regulates the decision-making process that leads to cell death during the IR.
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) | 0.000 | 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) | 0.005 | 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".