Bibliographic record
Abstract
The possibility of developing a pill to increase energy expenditure is explored by examining the metabolic processes involved. Such a pill should be targeted at organ systems involved in facultative thermogenesis. In rodents, these are brown adipose tissue (BAT) and skeletal muscle. Since BAT-mediated thermogenesis is not available in adult humans, emphasis here is on skeletal muscle. A hypothesis is presented based on three known facts: (1) plasticity of skeletal muscle, with interconversion of fiber types that differ in their fuel efficiency; (2) presence of thyroxine 5'-deiodinase type 2 (TD2) in human skeletal muscle; (3) gradual increase in thermogenesis that occurs during rehabilitation after starvation, probably in muscle. A low capacity thermogenic system, muscle efficiency thermogenesis (MET), is proposed to occur as adipose stores refill during the transition from famine to feasting to obesity. This system involves increased activity of TD2 and a T3-induced increase in proportion of type II fibers, less efficient at rest and during activity. The protective effect of this system is probably overwhelmed by long-term eating in excess of energy needs. Better understanding of the complex remodeling of differentiated muscle fibers in the conversions proposed and of the regulation of TD2 activity in human skeletal muscle may reveal targets for increasing energy expenditure in humans. In addition, the possibility of exploiting the plasticity of the adipose organ, with conversion of white adipocytes in white adipose tissue to atypical brown adipocytes and increasing thermogenesis in them is considered as another potential target for increasing energy expenditure in humans.
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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".