Editorial: The immunological effects of respiratory viruses during pregnancy and breastfeeding
Bibliographic record
Abstract
Pregnancy and the early postnatal period are marked by unique immunological adaptations that heighten susceptibility to infection, particularly from respiratory viruses. Dysregulation of maternal and fetal immunity during early gestation or soon after birth can have long-term health consequences. In summary, this research topic offers insights on how respiratory viral infections intersect between maternal and neonatal immunity, through various common themes. First, maternal-infant immunity is extremely dynamic and multifaceted, involving not just antibody transfer but also specific mediator signaling and adaptive breastmilk responses. Second, while maternal vaccination remains a critical strategy, variant-driven immune escape, that is very relevant to SARS-CoV-2, presents continued hurdles. Third, mechanistic findings at the cellular and molecular levels are consistent with population-level data on obstetric hazards, highlighting the field's translational value.Finally, the neurodevelopmental dimension emphasizes that the effects of maternal virus infection may persist well beyond the perinatal period. Other relevant research topics that might be of interest
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.010 | 0.013 |
| Insufficient payload (model declined to judge) | 0.015 | 0.011 |
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".