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Emerging Roles of CD1 and Lipids in Human Health and Disease

2025· review· en· W4417174851 on OpenAlex
Jamie Rossjohn, Annemieke de Jong, Graham S. Ogg, D. Branch Moody

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnual Review of Immunology · 2025
Typereview
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsCD1CD1DT-cell receptorDiseaseMajor histocompatibility complexAntigenTransgeneImmune system

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.849
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.333
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it