Elevated Mitochondrial Reactive Oxygen Species Generation Affects the Immune Response via Hypoxia-Inducible Factor-1α in Long-Lived <i>Mclk1</i> +/− Mouse Mutants
Bibliographic record
Abstract
Mitochondrial reactive oxygen species (ROS) are believed to stabilize hypoxia-inducible factor (HIF)-1alpha, a transcriptional regulator of the immune response. Mclk1 encodes a mitochondrial protein that is necessary for ubiquinone biosynthesis. Heterozygote Mclk1(+/-) mutant mice are long-lived despite increased mitochondrial ROS and decreased energy metabolism. In this study, Mclk1(+/-) mutant mice in the C57BL/6J background displayed increased basal and induced expression of HIF-1alpha in liver and macrophages in association with elevated expression of inflammatory cytokines, in particular TNF-alpha. Mutant macrophages showed increased classical and decreased alternative activation, and mutant mice were hypersensitive to LPS. Consistent with these observations in vivo, knock-down of Mclk1 in murine RAW264.7 macrophage-like cells induced increased mitochondrial ROS as well as elevated expression of HIF-1alpha and secretion of TNF-alpha. We used an antioxidant peptide targeted to mitochondria to show that altered ROS metabolism is necessary for the enhanced expression of HIF-1alpha, which, in turn, is necessary for increased TNF-alpha secretion. These findings provide in vivo evidence for the action of mitochondrial ROS on HIF-1alpha activity and demonstrate that changes in mitochondrial function within physiologically tolerable limits modulate the immune response. Our results further suggest that altered immune function through a limited increase in HIF-1alpha expression can positively impact animal longevity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".