Ablation of Sirtuin5 in the postnatal mouse heart results in protein succinylation and normal survival in response to chronic pressure overload
Bibliographic record
Abstract
Mitochondrial Sirtuin 5 (SIRT5) is an NAD + -dependent demalonylase, desuccinylase, and deglutarylase that controls several metabolic pathways. A number of recent studies point to SIRT5 desuccinylase activity being important in maintaining cardiac function and metabolism under stress. Previously, we described a phenotype of increased mortality in whole-body SIRT5KO mice exposed to chronic pressure overload compared with their littermate WT controls. To determine whether the survival phenotype we reported was due to a cardiac-intrinsic or cardiac-extrinsic effect of SIRT5, we developed a tamoxifen-inducible, heart-specific SIRT5 knockout (SIRT5KO) mouse model. Using our new animal model, we discovered that postnatal cardiac ablation of Sirt5 resulted in persistent accumulation of protein succinylation up to 30 weeks after SIRT5 depletion. Succinyl proteomics revealed that succinylation increased on proteins of oxidative metabolism between 15 and 31 weeks after ablation. Heart-specific SIRT5KO mice were exposed to chronic pressure overload to induce cardiac hypertrophy. We found that, in contrast to whole-body SIRT5KO mice, there was no difference in survival between heart-specific SIRT5KO mice and their littermate controls. Overall, the data presented here suggest that survival of SIRT5KO mice may be dictated by a multitissue or prenatal effect of SIRT5.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".