Sex hormone-binding globulin suppresses NAFLD-triggered hepatocarcinogenesis after menopause
Bibliographic record
Abstract
It is generally accepted that androgen receptors increase the risk of hepatocellular carcinoma (HCC), and that estrogen reduces risk of HCC. Many studies regarding this have involved males. We, therefore, have focused our attention on females, especially postmenopausal females, who typically have limited supplies of estrogen. By using sex hormone-binding globulin (SHBG) transgenic mice, we produced a humanoid environment, and facilitated deposition and modulation of sex hormones. After exposure to diethylnitrosamine to induce HCC and upon reaching the age of 40 weeks, mice were fed the fat-rich diet for 5 months. Fat-rich diet fed or ovariectomized (OVX) wild-type mice aged 62 weeks showed HCC progression, whereas fat-rich diet fed SHBG mice or OVX SHBG mice displayed fewer tumors. In the liver of fat-rich diet fed SHBG mice, estrogenic conditions including high levels of 17β-estradiol and estrogen receptor alpha led to the induction of the lipogenesis inhibitor, phosphorylated acetyl-CoA carboxylase, and consequently suppressed fatty liver. The presence of plasma SHBG in HCC bearing mice suppressed the levels of steatosis and inflammation in a process mediated by estrogens and estrogen receptor alpha. Conversely, in the liver of OVX SHBG mice, lipogenic inhibition was also observed under conditions where the supply of estrogens is limited. Through in vitro experiment, it was confirmed SHBG suppresses lipogenesis via inhibition of acetyl-CoA carboxylase level. In conclusion, our results show that plasma SHBG might have a clinical impact on lipid-mediated hepatic diseases.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".