Cell-intrinsic TLR4-dependent bone marrow lympho-myeloid distortions in obesity
Bibliographic record
Abstract
Abstract Obesity compromises bone marrow (BM) progenitor function and the mechanistic underpinnings are just beginning to be established. Here we show that following 16 weeks of high fat diet, mice exhibit poor emergency hematopoiesis in a toll-like receptor 4 (TLR4)-dependent manner, and that adoptive transfer of obese BM to lean recipients restores rebound capability. Genes associated with a myeloid signature (c-fms, pu.1, ikaros) are enhanced and lymphoid signature (flt3, meis1, e47) reduced. The skewed lympho-myeloid outgrowth of discrete BM subsets is apparent by 6 weeks of high fat diet, earlier than is commonly recognized. Using mixed BM chimeras we demonstrate that obesity-associated subversion of lineage-c-kit+Sca-1- (LKSneg) precursors to the myeloid lineage and common lymphoid progenitors (CLP) to the B lineage depends on BM cell subset-autonomous TLR4. The endogenous TLR4 ligands responsible for BM dysfunction in obesity are unclear. Here, we show that exposure of lean mice to lipopolysaccharide (LPS) at levels similar to that observed in obesity recapitulates key aspects of BM lympho-myeloid disruption. Together, our results establish a mechanistic role for BM cell-intrinsic TLR4 early in obesity-driven BM dysfunction, and demonstrate the biological importance of one obesity-associated TLR4 ligand.
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 | 0.000 | 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".