Non-shivering thermogenesis and its current advances in clinical trials targeting obesity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Obesity is a major risk factor for adverse cardiometabolic events such as diabetes and cardiovascular diseases. Cardiometabolic diseases are the number one cause of death globally. Despite being the leading cause of death, many therapeutics targeted at its risk factors such as obesity have limited effectiveness. This limited effectiveness warrants research into novel strategies to combat obesity. Past literature established an inverse relationship between obesity and thermogenic activity. Research in thermogenesis has made unprecedented progress in the past decade. Based on this progress, thermogenesis has been proposed as a novel target for treating obesity. Thermogenesis is targeted due to its ability to expend excess energy such as fat in the form of heat. This conversion from fat to heat is mostly done by brown and brite adipocytes in brown adipose tissue (BAT). This review presents current advances in clinical trials related to the therapeutic application of non-shivering thermogenesis. Each clinical trial topic is highlighted and summarized. This paper summarized sympathetic nervous system activation (cold-induced, pharmacologically activated, and thyroid hormones), and transient receptor potential (TRP) channels on non-shivering thermogenesis. Advanced knowledge in non-shivering thermogenesis allows researchers to harness its vast therapeutic potential to combat obesity.
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.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 it