SIRT1 protects against cigarette smoke-induced lung oxidative stress via a FOXO3-dependent mechanism
Bibliographic record
Abstract
Oxidative and carbonyl stress is increased in lungs of smokers and patients with chronic obstructive pulmonary disease (COPD), as well as in cigarette smoke (CS)-exposed rodent lungs. We previously showed that sirtuin1 (SIRT1), an antiaging protein, is reduced in lungs of CS-exposed mice and patients with COPD and that SIRT1 attenuates CS-induced lung inflammation and injury. It is not clear whether SIRT1 protects against CS-induced lung oxidative stress. Therefore, we determined the effect of SIRT1 on lung oxidative stress and antioxidants in response to CS exposure using loss- and gain-of-function approaches, as well as a pharmacological SIRT1 activation by SRT1720. We found that CS exposure increased protein oxidation and lipid peroxidation in lungs of wild-type (WT) mice, which was further augmented in SIRT1-deficient mice. Furthermore, both SIRT1 genetic overexpression and SRT1720 treatment significantly decreased oxidative stress induced by CS exposure. FOXO3 deletion augmented lipid peroxidation products but reduced antioxidants in response to CS exposure, which was not affected by SRT1720. Interestingly, SRT1720 treatment exhibited a similar effect on lipid peroxidation and antioxidants (i.e., manganese superoxide dismutase, heme oxygenase-1, and NADPH quinone oxidoreductase-1) in WT and nuclear factor (erythroid-derived 2)-like 2 (Nrf2)-deficient mice in response to CS exposure. This indicates that SIRT1 protects against CS-induced oxidative stress, which is mediated by FOXO3, but is independent of Nrf2. Overall, these findings reveal a novel function of SIRT1, which is to reduce CS-induced oxidative stress, and this may contribute to its protective effects against lung inflammation and subsequent development of COPD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".