ACE2 exerts anti-obesity effect via stimulating brown adipose tissue and induction of browning in white adipose tissue
Bibliographic record
Abstract
The angiotensin II (ANG II)-ANG II type 1 receptor (AT 1 R) axis is a key player in the pathophysiology of obesity. Angiotensin-converting enzyme 2 (ACE2) counteracts the ANG II/AT 1 R axis via converting ANG II to angiotensin 1–7 (Ang 1–7), which is known to have an anti-obesity effect. In this study, we hypothesized that ACE2 exerts a strong anti-obesity effect by increasing Ang 1–7 levels. We injected intraperitoneally recombinant human ACE2 (rhACE2, 2.0 mg·kg −1 ·day −1 ) for 28 days to high-fat diet (HFD)-induced obesity mice. rhACE2 treatment decreased body weight and improved glucose metabolism. Furthermore, rhACE2 increased oxygen consumption and upregulated thermogenesis in HFD-fed mice. In the rhACE2 treatment group, brown adipose tissue (BAT) mass increased, accompanied with ameliorated insulin signaling and increased protein levels of uncoupling protein-1 (UCP-1) and PRD1-BF1-RIZ1 homologous domain containing 16. Importantly, subcutaneous white adipose tissue (sWAT) mass decreased, concomitant with browning, which was established by the increase of UCP-1 expression. The browning is the result of increased H3K27 acetylation via the downregulation of histone deacetylase 3 and increased H3K9 acetylation via upregulation of GCN5 and P300/CBP-associated factor. These results suggest that rhACE2 exerts anti-obesity effects by stimulating BAT and inducing browning in sWAT. ACE2 and the Ang 1–7 axis represent a potential therapeutic approach to prevent the development of obesity.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".