Skeletal Muscle Mitochondrial Function in Goto‐Kakizaki Rat Model of Type 2 Diabetes
Bibliographic record
Abstract
Type 2 diabetes (T2D) presents with significant comorbidities and reported exercise intolerance affecting over 30 million people in the US alone. Aerobic metabolism is the predominant pathway for fueling exercise and utilizing glucose, therefore mitochondrial oxidative phosphorylation (MOP) is important in diabetes and the future of diabetic interventions. However, studies in T2D have conflicting reports regarding the functional status of the mitochondrial pool suggesting deficits are an inherent cause of the disease but a comprehensive study has yet to be done. The Goto‐Kakizaki (GK) rat model of T2D was used to measure both mitochondrial function and density in vitro and in vivo over a broad range of metabolic challenges. Mitochondrial densities were similar in red (RG) and white gastrocnemius (WG) muscles of the GK rat (Cyt c oxidase, RG: 22.2 ± 1.6 versus 23.3 ± 1.7 μmol/min/g, WG: 10.8 ± 1.1 versus 12.1 ± 0.9 μmol/min/g; n=7–8). Mitochondria isolated from the muscles of GK rats and their Wistar controls showed no difference in mitochondrial respiration in vitro as measured by high resolution respirometry. Mitochondrial function in vivo , measured by 31 Phosphorus magnetic resonance spectroscopy, was similar between GK and Wistar controls determined from phosphocreatine dynamics reaching similar exercise steady states at submaximal workloads with no difference in recovery time constant (72 ± 6 s GK vs. 71 ± 2 s Wistar). However, at exercise intensities beyond what can be sustained aerobically, the GK rat exhibited bioenergetic deficits suggesting something other than mitochondrial function is responsible at these workloads. The current work demonstrates normal mitochondrial function in a non‐obese non‐sedentary rat model of T2D in vitro and in vivo and no change in mitochondrial content. Taken together these results show when considering both density and function of mitochondria no deficit in MOP is present in the GK T2D rat model and may not be in T2D patients but these studies remain to be done. Support or Funding Information NIH DK 095210, NIH R00HL121160, CIHR R5521A02 This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".