Glycerolipid Cycling in Thermogenesis, Energy Homeostasis, Signaling, and Diseases
Bibliographic record
Abstract
Mammals maintain body heat by adaptive energy expenditure through different organ-specific mechanisms. The glycerolipid/free fatty acid (FFA) cycle (glycerolipid cycle), encompassing triglyceride lipolysis and FFA release followed by their reesterification, is an ATP-consuming process that contributes to energy expenditure, heat production, and various lipid signaling pathways. The glycerolipid cycle, which was originally described as a whole body process, is now known to also occur intracellularly in many organs. This review focuses on the thermogenic and signaling roles of glycerolipid cycling in adipose and other tissues and offers insight into the various pathophysiological conditions where its activity is altered. We discuss its substrates and products, enzyme components, and regulation. We present evidence that this cycling process, besides acting as the complete triglyceride/FFA cycle, is in fact composed of multiple shorter subcycles, which can be activated individually. We highlight the importance of this energy-dissipating cycle in adaptive thermogenesis and energy expenditure in animals and humans and discuss the latest methodological advances to quantify its flux. The much renewed interest in this area has begun to showcase the central role of glycerolipid cycling mediated thermogenesis and signaling in cardiometabolic diseases, cancer, and aging that could be harnessed for therapy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".