Distinct Mitochondrial Subpopulation Response in a Type 2 Diabetic Model
Bibliographic record
Abstract
Mitochondrial dysfunction plays a critical role in the pathogenesis of type 2 diabetes mellitus. Examination of mitochondria is complicated by the fact that two spatially distinct mitochondria populations exist in the cardiac myocyte, interfibrillar mitochondria (IFM) which situate between the myofibrils, and subsarcolemmal mitochondria (SSM) which exist beneath the sarcolemma. The goal of this study was to determine whether spatially distinct cardiac mitochondrial subpopulations are differentially affected by type 2 diabetic insult. Db/db mice were sacrificed at 20 weeks of age and mitochondrial subpopulations isolated. State 3 respiration was significantly lower in db/db SSM contributing to decreased RCR ratios (P<0.05). Electron transport chain complex activities (I, III, IV) were significantly decreased only in diabetic SSM as compared to control (P<0.05 for all three). Uncoupling protein 3 was significantly increased only in db/db SSM (P<0.05). Manganese superoxide dismutase (MnSOD) protein was significantly elevated in db/db IFM suggesting a potential spatially‐specific protective mechanism. Mitochondrial heat shock protein 70 (mthsp70), a mitochondrial import protein, was significantly decreased only in db/db SSM. These findings suggest that type 2 diabetic insult impacts spatially distinct cardiac mitochondria differently with SSM displaying greater dysfunctional profiles.
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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".