Canagliflozin Promotes Structural and Functional Changes in Proximal Tubular Cell Mitochondria of Hypertensive–Diabetic Mice
Bibliographic record
Abstract
The kidneys have a high-energy demand, relying on great rates of mitochondrial oxidative phosphorylation. Excessive glucose in the tubules leads to defective fatty acid oxidation, playing a key role in tubular injury and diabetic kidney disease progression. Besides its glucose-lowering action, canagliflozin (CANA) promotes kidney protective effects. We aimed to investigate whether the demonstrated kidney protective effects are extended to mitochondrial function and remodeling in proximal tubular cells from hypertensive-diabetic mice. Four weeks after streptozocin (STZ) induction of type 1 diabetes in genetic hypertensive (Lin) mice, they were fed either CANA-infused chow or a regular diet for 1 week. CANA treatment reverted the albuminuric state in LinSTZ mice. In PTECs from male mice, CANA promoted a complex mitochondrial network with less spherical and more branched organelles, with evidence of increased fusion. Those improvements reflected on the mitochondria bioenergetics, where CANA treatment induced an augmented baseline and maximum respiration rate, ATP production, and mitochondria membrane potential in PTECs, compared to LinSTZ. In females, CANA produced a milder response, increasing the mitochondrial network without affecting bioenergetics. In conclusion, in vivo CANA treatment positively affects proximal tubular cells' mitochondria in male hypertensive-diabetic mice with a minor impact in females. The improvement in mitochondrial function and structure might be key to the kidney-protective effects of CANA.
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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 | 0.000 |
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".