Gestational inhibition of CSF1R signaling using PLX5622 drives musculoskeletal changes in postnatal offspring
Bibliographic record
Abstract
Despite our understanding of the musculoskeletal system under homeostatic conditions and during tissue remodeling, the interplay between muscle and bone development in response to gestational perturbations is less well understood. Here, we used the colony-stimulating factor-1 receptor (CSF1R) inhibitor PLX5622 to disrupt macrophage and osteoclast proliferation, differentiation, and survival during the embryonic period in order to study the impacts on craniofacial development using high-resolution microcomputed tomography (μCT). Cranioskeletal and mandibular size and shape were assessed using geometric morphometric (GM) analysis and dense correspondence analysis (DeCA), while contrast-enhanced μCT and DeCA were utilized to examine the consequences of prenatal CSF1R inhibition on P1 offspring musculature. Combined, we observed significant disruptions to cranioskeletal and mandibular morphologies, and notable changes in the shape of the muscles of mastication and tongue in newly born pups exposed to the CSF1R inhibitor PLX5622 in utero. By assessing the craniofacial skeleton and associated musculature at birth, we provide a more direct view of how inhibition of CSF1R signaling across embryogenesis contributes to changes in musculoskeletal development during periods of craniofacial morphogenesis.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".