Maternal diet‐induced obesity alters muscle mitochondrial function in offspring without changing insulin sensitivity
Bibliographic record
Abstract
In utero overnutrition can predispose offspring to metabolic disease. Although the mechanisms are unclear, increased oxidative stress accelerating cellular aging has been shown to play a role. Mitochondria are the main site of reactive oxygen species (ROS) production in most cell types. Levels of ROS and the risk for oxidative damage are dictated by the balance between ROS production and antioxidant defense mechanisms. Originally considered as toxic species, physiologic levels of ROS are now known to be essential cell signaling molecules. Using a model of maternal overnutrition in C57BL6N mice, we investigate the mechanisms involved in the development of insulin resistance (IR) in muscle. In red and white gastrocnemius muscles of offspring, we are the first to report characteristics of oxidative phosphorylation, H 2 O 2 production, activity of mitoflashes, and electron transport chain supercomplex formation. Results demonstrate altered mitochondrial function with reduced response to glucose in offspring of mice fed a high‐fat and high‐sucrose diet, increases in mitochondrial leak respiration, and a reduction in ROS production in red gastrocnemius in response to palmitoyl carnitine. We also demonstrate differences in supercomplex formation between red and white gastrocnemius, which may be integral to fiber‐type specialization. We conclude that in this model of maternal overnutrition, mitochondrial alterations occur before the development of IR.—McMurray, F., MacFarlane, M., Kim, K., Patten, D. A., Wei‐LaPierre, L., Fullerton, M. D., Harper, M. E. Maternaldiet‐induced obesity alters muscle mitochondrial function in offspring without changing insulin sensitivity. FASEB J. 33, 13515‐13526 (2019). www.fasebj.org
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 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".