Embryonic inhibition of colony‐stimulating factor 1 receptor impacts craniofacial morphogenesis
Bibliographic record
Abstract
OBJECTIVES: Colony-stimulating factor-1 receptor (CSF1R) is vital for the recruitment of monocytes, and their proliferation and differentiation into functional osteoclasts. Mouse studies, where CSF1R and its cognate ligand are absent, have significant craniofacial phenotypes, but these have not been studied in detail. MATERIALS AND METHODS: Pregnant CD1 mice were fed diets laced with CSF1R inhibitor-PLX5622 starting at embryonic day 3.5 (E3.5) up to birth. Pups were collected at E18.5 to study CSF1R expression using immunofluorescence. Additional pups were studied at postnatal day 21 (P21) and P28 using microcomputed tomography (μCT) and Geometric Morphometrics, to evaluate craniofacial form. RESULTS: CSF1R-positive cells were present throughout the developing craniofacial region, including the jaw bones, surrounding teeth, tongue, nasal cavities, brain, cranial vault and base regions. Animals exposed to the CSF1R inhibitor in utero had severe depletion of CSF1R-positive cells at E18.5 and had significant differences in craniofacial form (size and shape) at postnatal timepoints. Centroid sizes for the mandibular and cranio-maxillary regions were significantly smaller in CSF1R-inhibited animals. Proportionally, these animals had a domed skull, with taller and wider cranial vaults and shortening of their midfacial regions. Mandibles were smaller vertically and anterio-posteriorly, with proportionally wider inter-condylar distances. CONCLUSIONS: Embryonic inhibition of CSF1R impacts postnatal craniofacial morphogenesis, with significant influences on the mandibular and cranioskeletal size and shape. These data indicate that CSF1R plays a role in early cranio-skeletal patterning, likely through osteoclast depletion.
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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) | 0.003 | 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".