Perforin Is a Novel Immune Regulator of Obesity-Related Insulin Resistance
Bibliographic record
Abstract
Obesity-related insulin resistance is associated with an influx of pathogenic T cells into visceral adipose tissue (VAT), but the mechanisms regulating lymphocyte balance in such tissues are unknown. Here we describe an important role for the immune cytotoxic effector molecule perforin in regulating this process. Perforin-deficient mice (Prf1(null)) show early increased body weight and adiposity, glucose intolerance, and insulin resistance when placed on high-fat diet (HFD). Regulatory effects of perforin on glucose tolerance are mechanistically linked to the control of T-cell proliferation and cytokine production in inflamed VAT. HFD-fed Prf1(null) mice have increased accumulation of proinflammatory IFN-γ-producing CD4(+) and CD8(+) T cells and M1-polarized macrophages in VAT. CD8(+) T cells from the VAT of Prf1(null) mice have increased proliferation and impaired early apoptosis, suggesting a role for perforin in the regulation of T-cell turnover during HFD feeding. Transfer of CD8(+) T cells from Prf1(null) mice into CD8-deficient mice (CD8(null)) resulted in worsening of metabolic parameters compared with wild-type donors. Improved metabolic parameters in HFD natural killer (NK) cell-deficient mice (NK(null)) ruled out a role for NK cells as a single source of perforin in regulating glucose homeostasis. The findings support the importance of T-cell function in insulin resistance and suggest that modulation of lymphocyte homeostasis in inflamed VAT is one possible avenue for therapeutic intervention.
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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) | 0.001 | 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".