Erythroid Suppressor Cells Compromise Neonatal Immune Response against <i>Bordetella pertussis</i>
Bibliographic record
Abstract
Abstract Newborns are highly susceptible to infection. The underlying mechanism of neonatal infection susceptibility has generally been associated with neonatal immune cell immaturity. In this study, we challenged this notion and built upon our recent discovery that neonates are physiologically enriched with erythroid TER119+CD71+ cells (Elahi et al. 2013. Nature 504: 158–162). We have used Bordetella pertussis, a common neonatal respiratory tract infection, as a proof of concept to investigate the role of these cells in newborns. We found that CD71+ cells have distinctive immune-suppressive properties and suppress innate immune responses against B. pertussis infection. CD71+ cell ablation unleashed innate immune response and restored resistance to B. pertussis infection. In contrast, adoptive transfer of neonatal CD71+ cells into adult recipients impaired their innate immune response to B. pertussis infection. Enhanced innate immune response to B. pertussis was characterized by increased production of protective cytokines IFN-γ, TNF-α, and IL-12, as well as recruitment of NK cells, CD11b+, and CD11c+ cells in the lung. Neonatal and human cord blood CD71+ cells express arginase II, and this enzymatic activity inhibits phagocytosis of B. pertussis in vitro. Thus, our study challenges the notion that neonatal infection susceptibility is due to immune cell–intrinsic defects and instead highlights active immune suppression mediated by abundant CD71+ cells in the newborn. Our findings provide additional support for the novel theme in neonatal immunology that immunosuppression is essential to dampen robust immune responses in the neonate. We anticipate that our results will spark renewed investigation in modulating the function of these cells and developing novel strategies for enhancing host defense to infections in newborns.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".