Essential role of mitochondrial energy metabolism in Foxp3 <sup>+</sup> T‐regulatory cell function and allograft survival
Bibliographic record
Abstract
ABSTRACT Conventional T (Tcon) cells and Foxp3 + T‐regulatory (Treg) cells are thought to have differing metabolic requirements, but little is known of mitochondrial functions within these cell populations in vivo. In murine studies, we found that activation of both Tcon and Treg cells led to myocyte enhancer factor 2 (Mef2)‐induced expression of genes important to oxidative phosphorylation (OXPHOS). Inhibition of OXPHOS impaired both Tcon and Treg cell function compared to wild‐type cells but disproportionally affected Treg cells. Deletion of Pgc1α or Sirt3 , which are key regulators of OXPHOS, abrogated Treg‐dependent suppressive function and impaired allograft survival. Mef2 is inhibited by histone/protein deacetylase‐9 (Hdac9), and Hdac9 deletion increased Treg suppressive function. Hdac9 ‐/‐ Treg showed increased expression of Pgc1α and Sirt3, and improved mitochondrial respiration, compared to wild‐type Treg cells. Our data show that key OXPHOS regulators are required for optimal Treg function and Treg‐dependent allograft acceptance. These findings provide a novel approach to increase Treg function and give insights into the fundamental mechanisms by which mitochondrial energy metabolism regulates immune cell functions in vivo. —Beier, U. H., Angelin, A., Akimova, T., Wang, L., Liu, Y., Xiao, H., Koike, M. A., Hancock, S. A., Bhatti, T. R., Han, R., Jiao, J., Veasey, S. C., Sims, C. A., Baur, J. A., Wallace, D. C., Hancock, W. W. Essential role of mitochondrial energy metabolism in Foxp3 + T‐regulatory cell function and allograft survival. FASEB J. 29, 2315‐2326 (2015). www.fasebj.org
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".