Mitochondrial dysfunction bridges negative affective disorders and cardiomyopathy in socially isolated rats: Pros and cons of fluoxetine
Bibliographic record
Abstract
Objectives Depression is tightly associated with cardiovascular comorbidity and accounts for high financial and social burden worldwide. Mitochondrial dysfunction contributes to the pathophysiology of depression and cardiovascular disorders; its contribution to depression-cardiovascular comorbidity has not yet been investigated. Methods Adolescent rats were subjected to 4 weeks of isolation (social isolation stress or SIS) or social conditions (control), and then they were divided into treatment (fluoxetine, 7.5 mg/kg/day for 21 days) and non-treatment groups. After different housing conditions and treatment, animals were evaluated by behavioural tests (n = 6-8) and mitochondrial assessments (n = 3) of brain and cardiac tissues. Results We found that juvenile SIS induced behavioural abnormalities and mitochondrial dysfunction in adulthood. We showed that juvenile SIS was associated with impaired respiratory chain complex, which leads to reactive oxygen species formation, oxidative damage and ATP abatement in both brain and heart. Administration of FLX (7.5 mg/kg/day) during the isolation period attenuated the effects of SIS on the brain mitochondria and behavioural abnormalities, but had little or no effect on SIS-induced mitochondrial dysfunction in cardiac tissue. Conclusions This suggests that juvenile SIS predisposes the co-occurrence of depression and cardiovascular disease through mitochondrial dysfunction and that therapeutic effect of fluoxetine is partly mediated by its effect on mitochondrial function.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".