Investigating the Role of Insulin Receptor Signaling in B Lymphocyte Function
Bibliographic record
Abstract
B cells drive insulin dysregulation during obesity and type 2 diabetes, but little is known about how insulin affects B cell functions. Using a B cell-specific insulin receptor (InsR) knockout model, we show that InsR signaling promotes pro-inflammatory processes and proliferation in B cells. InsR deficiency also impairs B cell production of pro-inflammatory cytokines. Interestingly, InsR signaling contributes towards Th1-associated antibody class switching. In a model of severe influenza A (H1N1) viral infection, mice with B cell-specific InsR deletion show increased susceptibility and have compromised humoral responses. During high fat diet-induced obesity, mice lacking InsR on B cells are protected from insulin resistance and glucose intolerance and show reduced fat inflammation. Mechanistically, InsR signaling reinforces glucose uptake and glycolytic function to support B cell functions. Taken together, our work highlights the importance of InsR signaling in driving optimal B cell function in health and disease.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".