Emerging Roles of CD1 and Lipids in Human Health and Disease
Bibliographic record
Abstract
Acting alongside MHC proteins, which present peptide antigens, the CD1 system displays lipid antigens to T cells. Recent studies have defined two general mechanisms of T cell receptor (TCR) binding to human CD1a, CD1b, CD1c, and CD1d proteins. The classical mechanism involves TCR corecognition of lipid antigens and CD1 proteins. In the second mechanism, however, other αβ and γδ TCRs directly recognize the surface of CD1 in a lipid-independent manner, which partially bypasses the need to identify lipid autoantigens in disease states. In this article, we review the development of new experimental tools such as cell-wide lipidomic investigation of self-lipids, endogenously loaded CD1 tetramers, and human CD1 transgenic mice. These tools are revealing nonredundant roles for CD1 in immune response and are providing evidence that CD1-reactive T cells participate in disease lesions in human skin and gut. Further, the unexpected discovery of lipid blockers of CD1-TCR interaction supports new approaches to immunomodulation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".