Alterations in mitochondria and cellular senescence in aged sEH null female kidneys
Bibliographic record
Abstract
Age-related structural and functional deterioration of the kidneys is common among elderly individuals and contributes to increased mortality and morbidity. Mitochondrial dysfunction and cellular senescence are two hallmarks of aging that drive a progressional renal decline; however, the underlying molecular mechanisms and endogenous regulators behind these processes remain incompletely understood. The metabolism of polyunsaturated fatty acids by CYP450 enzymes produces numerous bioactive lipid mediators that can be further metabolized by soluble epoxide hydrolase (sEH) and microsomal epoxide hydrolase (mEH) into diol metabolites, often with reduced biological effects. The objective of this study was to assess renal mitochondrial alterations and cellular senescence in young and aged wild-type (WT) and sEH-deficient (sEH null) female mice. We found aged sEH null mice exhibited better physiological health, as reflected by lower frailty index scores and reduced circulating levels of GDF-15 levels, creatinine, and urea nitrogen. Notably, the expression of both sEH and mEH was significantly elevated in aged WT kidneys, accompanied by increased expression of the kidney injury marker (Kim-1) and evidence of structural abnormalities. In contrast, sEH deletion attenuated the age-related upregulation of senescence markers (p53, p21, p16) and SASP components (MCP-1, IL-1β, and caspase-1), as well as the inflammatory zBP1 expression and downstream interferons. Additionally, sEH deletion preserved age-related disruption of mitochondrial dynamics, content, and respiratory function. Together, these data suggest that sEH deletion confers renoprotective effects in aging, characterized by improved systemic health, reduced renal injury and inflammation as preserves mitochondrial integrity and function.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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".