HBP/O-GlcNAcylation Metabolic Axis Regulates Bone Resorption Outcome
Bibliographic record
Abstract
Osteoclasts play a key role in the regulation of bone mass and are highly active metabolically. Here we show that a metabolic reprogramming toward the hexosamine biosynthetic pathway (HBP) is required not only for osteoclast differentiation but also to determine the bone resorption mode during physiological and pathological bone remodeling. We found that pharmacological inhibition of O-GlcNAc transferase (OGT) significantly reduced protein O-GlcNAcylation and osteoclast differentiation. Accordingly, genetic deletion of OGT also inhibited osteoclast formation and downregulated critical markers related to osteoclasts differentiation and function (NFATc1, α v integrin, cathepsin K). Indeed, cells treated with OSMI-1, an OGT inhibitor, also reduced nuclear translocation of NFATc1. Furthermore, the addition of exogenous N-acetylglucosamine (GlcNAc) strongly increased osteoclast formation and demineralization ability. Strikingly, our data show for the first time that O-GlcNAcylation facilitates an aggressive trench resorption mode in human cells. The incubation of osteoclasts with exogenous GlcNAc increases the percentage of erosion by trench while having no effect on pit resorption mode. Through time-lapse recording, we documented that osteoclasts making trenches moving across the bone surface are sensitive to GlcNAcylation. Finally, osteoclast-specific Ogt-deficient mice show increased bone density and reduced inflammation-induced bone loss during apical periodontitis model. We show that osteoclast-specific Ogt-deficient mice are less susceptible to develop bacterial-induced periapical lesion. Consistent with this, Ogt-deleted mice showed a decreased number of tartrate-resistant acid phosphatase-positive cells lining the apical periodontitis site. In summary, here we describe a hitherto undiscovered role of the HBP/O-GlcNAcylation axis tuning resorption mode and dictating bone resorption outcome.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".