A cross species CD200R1 immune checkpoint agonist with potent anti-inflammatory properties
Bibliographic record
Abstract
Abstract Functional aptamers displaying agonistic or antagonistic properties are showing great promise in terms of modulating immune responses. Our group has recently developed pegylated DNA aptamers that can either block inflammatory responses (CD200R1agonist) or restore tumor-directed immune responses (PD-1 antagonist) in vivo. Here, we report the derivation and design of a cross species mouse/human CD200R1 DNA aptamer agonist that blocks inflammatory responses in mouse models of skin graft rejection and asthma. This DNA aptamer was discovered by performing NGS and comparing the resulting aptamer motifs derived from independently screening mouse and human CD200R1 as targets. Importantly, this m/hCD200R1 agonistic aptamer does not suppress cytotoxic T-lymphocyte (CTL) induction in 5 day allo-mixed lymphocyte cultures (MLCs) derived from CD200R1 knockout mice, indicating that its mode of action is directly linked to CD200R1 activation. This study suggests that one can derive agonistic DNA aptamers that can be verified as immunomodulators in mouse models with outcomes translatable to the treatment of human conditions.
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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) | 0.000 | 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) | 0.002 | 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".