Mitochondrial Dysfunction in the Hypertensive Rat Brain
Bibliographic record
Abstract
The central nervous system plays a critical role in the normal control of arterial blood pressure and in its elevation in virtually all forms of hypertension. Mitochondrial dysfunction has been increasingly associated with the development of hypertension. Therefore, we examined whether mitochondrial dysfunction occurs in the brain in hypertension and characterized it at the molecular scale. Mitochondria from whole brain and brain stem from 12-week-old spontaneously hypertensive rats with elevated blood pressure (190+/-5 mm Hg) were compared against those from age-matched normotensive (134+/-7 mm Hg) Wistar Kyoto rats (n=4 in each group). Global differential analysis using 2D electrophoresis followed by tandem mass spectrometry-based protein identification suggested a downregulation of enzymes involved in cellular energetics in hypertension. Targeted differential analysis of mitochondrial respiratory complexes using the classical blue-native SDS-PAGE/Western method and a complementary combination of sucrose-gradient ultracentrifugation/tandem mass spectrometry revealed previously unknown assembly defects in complexes I, III, IV, and V in hypertension. Interestingly, targeted examination of the brain stem, a regulator of cardiovascular homeostasis and systemic blood pressure, further showed the occurrence of mitochondrial complex I dysfunction, elevated reactive oxygen species production, decreased ATP synthesis, and impaired respiration in hypertension. Our findings suggest that in already-hypertensive spontaneously hypertensive rats, the brain respiratory complexes exhibit previously unknown assembly defects. These defects impair the function of the mitochondrial respiratory chain. This mitochondrial dysfunction localizes to the brain stem and is, therefore, likely to contribute to the development, as well as to pathophysiological complications, of hypertension.
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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 | 0.000 |
| 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) | 0.001 | 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".