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Erythroid suppressor cells promote feto-maternal tolerance through arginase-2 and PDL-1

2018· article· en· W4313384007 on OpenAlexaff
Shokrollah Elahi, Cole Delyea, Najmeh Bozorgmehr, Garett Dunsmore, Shima Shahbaz, Vivian Huang

Bibliographic record

VenueThe Journal of Immunology · 2018
Typearticle
Languageen
FieldMedicine
TopicErythrocyte Function and Pathophysiology
Canadian institutionsCentre for Social InnovationUniversity of TorontoUniversity of Alberta
Fundersnot available
KeywordsImmune systemFetusImmune toleranceBiologyImmunologyAntigenPregnancyPlacenta

Abstract

fetched live from OpenAlex

Abstract Survival of the allogenic pregnancy depends on the maintenance of immune tolerance to paternal alloantigen at the feto-maternal interface. Multiple localized mechanisms contribute to fetal evasion from the mother’s immune rejection as fetus is exposed to a wide range of stimulatory substances such as maternal allo-antigens, microbes and amniotic fluids. Here, we demonstrate that CD71+ erythroid cells are expanded at the feto-maternal interface and in the periphery during pregnancy. These cells exhibit immunosuppressive property and their abundance is associated with a Th2 skewed immune response, as their depletion results in a pro-inflammatory immune response at the feto-maternal interface. In addition to their function in suppressing pro-inflammatory responses in vitro, maternal CD71+ erythroid cells inhibit an aggressive allogeneic response directed against the fetus such as reduction in TNF-a production through arginase-2 activity and PD-1/PDL-1 interactions. Their depletion leads to the failure of gestation due to immunological rejection of the fetus. Similarly, fetal liver CD71+ erythroid cells exhibit immunosuppressive activity. Therefore, immunosuppression mediated by CD71+ erythroid cells on both sides (mother/fetus) is crucial for feto-maternal tolerance. Thus, our results reveal a previously unappreciated role for CD71+ erythroid cells in pregnancy and indicate that these cells mediate homeostatic immunosuppressive/immune-regulatory responses during pregnancy.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.157
Threshold uncertainty score0.485

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.257
Teacher spread0.243 · 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 teacher head, 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

Citations0
Published2018
Admission routes1
Has abstractyes

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