MétaCan
Menu
← Back to cohort
Record W4417076566 · doi:10.1126/science.adr6322

Macrophage MR1 antigen presentation promotes MAIT cell immunity and lung microbiota modulation

2025· article· en· W4417076566 on OpenAlexaff
Jieru Deng, Yuting Yan, Calum J. Walsh, Emmanuel Montassier, Sinha Debajyoti, Huimeng Wang, Atieh Mousavizadeh, Mitra Ashayeripanah, Jeffrey Y. W. Mak, Hui‐Fern Koay, T Poch, Yannick O. Alexandre, Scott N. Mueller, Ajithkumar Vasanthakumar, Timothy P. Stinear, Vanta Jameson, Alexis Perez‐Gonzalez, Jenny Kingham, Tri Giang Phan, Nikita Potemkin, Lachlan Dryburgh, Jan Schröder, David P. Fairlie, Laura K. Mackay, Zhenjun Chen, Laura Cook, Abderrahman Hachani, Alexandra J. Corbett, Antoine Roquilly, Jóse A. Villadangos, Hamish E. G. McWilliam

Bibliographic record

VenueScience · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsUniversity of British Columbia
FundersAustralian Research CouncilNational Health and Medical Research CouncilHorizon 2020 Framework ProgrammeNational Institutes of HealthCass Foundation
KeywordsAntigen presentationMacrophageAntigenCellMajor histocompatibility complexImmune systemInflammationInnate immune system

Abstract

fetched live from OpenAlex

Mucosal-associated invariant T cells (MAIT cells) mediate tissue homeostasis and antimicrobial immunity. However, the cells that express major histocompatibility complex (MHC) class I-related protein 1 (MR1) and present microbial vitamin B-derived antigens (VitBAg) to MAIT cells remain unknown. We found that MR1 expression varied across tissues and cell types. Macrophages from the lung and peritoneal cavity expressed the highest levels of MR1 and were the most efficient at capturing and presenting VitBAg to MAIT cells. Expression of MR1 in macrophages was regulated transcriptionally and induced by the tissue environment and microbiota. Depletion of MR1 in macrophages, dendritic cells, and monocytes changed the composition of the microbiota and impaired MAIT cell responses against bacterial infection. We concluded that macrophages are key for MR1 antigen presentation and MAIT cell immunity.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.001

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.

Opus teacher head0.006
GPT teacher head0.253
Teacher spread0.247 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueScience→Same topicImmune Cell Function and Interaction→French-language works237,207→