570. ROLES OF DARK MICROGLIA DURING DEVELOPMENT IN HEALTH AND MATERNAL IMMUNE ACTIVATION
Bibliographic record
Abstract
Abstract Background A series of discoveries spanning the last two decades has shifted our view of microglia, the brain's immune cells, by showing their essential but previously unexpected contribution to brain development, as well as their important functions in learning and memory, and in behavioural adaptation to various environmental challenges (pollution, stress, inadequate nutrition, viral infection, etc.) during life. In this emergent field of investigation, which is currently experiencing exponential growth, our research project aims to investigate the roles of "dark microglia", a particular microglial state that we have discovered, and which may be specifically involved in proper neurodevelopment via remodelling of brain blood vessels (vasculature) and synapses, the connections between neurons. Aims & Objectives We aim to study the roles of dark microglia during normal development and in the context of maternal immune activation, a process associated with the onset of various neurodevelopmental and neuropsychiatric diseases in human patients. We focus our investigation on studying the long-term consequences of maternal viral infection-induced immune activation throughout development into adulthood. Method This research is conducted using a combination of cutting-edge mouse models, longitudinal behavioural testing, correlative microscopy (e.g., epifluorescence, confocal and state-of-the-art 2D and 3D-scanning electron microscopy), together with multi-omics. This integrative approach allows the Tremblay Lab to study the outcomes of various environmental risk factors and lifestyle elements on microglial properties and diversity along the aging trajectory. Targeted interventions are also performed. Results Our unpublished findings reveal differences in the structure and function of different microglial states that could play critical roles during development in health and maternal immune activation. Discussion & Conclusions This research into dark microglia's involvement in vascular and synaptic remodelling during normal development and upon maternal immune activation, an important environmental risk factor for human diseases, will bridge metabolism and immunity for the future prevention and/or treatment of several neurodevelopmental and neuropsychiatric disorders, including schizophrenia.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".