Functionally Convergent White Adipogenic Progenitors of Different Lineages Participate in a Diffused System Supporting Tissue Regeneration
Bibliographic record
Abstract
Pathologies characterized by lipomatous infiltration of craniofacial structures as well as certain forms of lipodystrophies suggest the existence of a distinct adipogenic program in the cephalic region of mammals. Using lineage tracing, we studied the origin of craniofacial adipocytes that accumulate both in cranial fat depots and during ectopic lipomatous infiltration of craniofacial muscles. We found that unlike their counterparts in limb muscle, a significant percentage of cranial adipocytes is derived from the neural crest (NC). In addition, we identified a population of NC-derived Lin(-)/α7(-)/CD34(+)/Sca-1(+) fibro/adipogenic progenitors (NC-FAPs) that resides exclusively in the mesenchyme of cephalic fat and muscle. Comparative analysis of the adipogenic potential, impact on metabolism, and contribution to the regenerative response of NC-FAPs and mesoderm-derived FAPs (M-FAPs) suggests that these cells are functionally indistinguishable. While both NC- and M-FAPs express mesenchymal markers and promyogenic cytokines upon damage-induced activation, NC-FAPs additionally express components of the NC developmental program. Furthermore, we show that craniofacial FAP composition changes with age, with young mice containing FAPs that are almost exclusively of NC origin, while NC-FAPs are progressively replaced by M-FAPs as mice age. Based on these results, we propose that in the adult, ontogenetically distinct FAPs form a diffused system reminiscent of the endothelium, which can originate from multiple developmental intermediates to seed all anatomical locations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".