The Outcomes of Maternal Immune Activation Induced with the Viral Mimetic Poly I:C on Microglia in Exposed Rodent Offspring
Bibliographic record
Abstract
Maternal immune activation (MIA) can result from a variety of maternal inflammatory factors, including metabolic disorders, nutritional deficits, infections, and psychosocial stress. MIA has been consistently recognized as a major risk factor for neurodevelopmental disorders, and this association seems to be especially important for viral infections as viral exposure during pregnancy was associated with a higher risk of developing neurodevelopmental disorders, such as schizophrenia. In MIA, the gestational parent's inflammatory response to an immune stimulus alters or interrupts fetal development, triggering neurodevelopmental consequences. As MIA can occur in any pregnancy, it is important to understand the many factors at play that contribute to altered brain development in the offspring, especially considering recent global events such as the COVID-19 pandemic. The underlying mechanisms by which MIA results in deleterious outcomes are not yet clear, but due to the inflammatory response it initiates, it is becoming apparent that microglia are critically involved. Through investigation of MIA animal models, the role of microglia in this field is becoming more evident. Compelling evidence from animal models indicates that MIA can disrupt synaptic pruning, neuronal progenitor cell proliferation/differentiation, oligodendrogenesis, and more. Microglia appear as an active player, assisting these neural-related functions during healthy development but also mediating MIA-induced disturbances in these critical processes when neurodevelopment is challenged. The present review illustrates this complex web by reviewing recent literature, focusing on the outcomes of MIA resulting from viral mimetic polyinosinic-polycytidylic acid in rodents, to provide a clear description of how MIA impacts microglial functions and what this means for the offspring's neurodevelopment. Moreover, we discuss the possible implications of the COVID-19 pandemic on the neurodevelopment of the current and next generations in the frame of MIA models and propose some putative pharmacological and non-pharmacological approaches to prevent or attenuate MIA consequences.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".