Stearoyl CoA desaturase 1 (SCD1) and Seipin: Important players in hepatic steatosis?
Bibliographic record
Abstract
Background SCD1 is a lipogenic enzyme responsible for the formation of monounsaturated fatty acids, the main precursors of triglycerides. High SCD1 expression is associated with expansion of adipose tissue and ectopic fat accumulation (in various tissues). Seipin is the human Berardinelli‐Seip congenital lipodystrophy 2 gene product which regulates adipogenesis and lipid droplets (LD) formation but whose function remains to be elucidated. Aim In the present study we evaluated the role of SCD1 and seipin in LD formation in hepatic cells and the effect of SCD1 or Seipine deficiency in the lipogenesis and insulin pathways. The results were also validated in seipin‐deficient mice. Methods In human hepato‐carcinoma cell line (HepG2), the expression of the two proteins was either silenced. LD formation was monitored by confocal microscopy upon addition of oleate. Under these conditions was also evaluated the activation of insulin and lipogenesis signaling pathways. Results We observed that silencing SCD1 in HepG2 cells decreases the number and the size of LD, does not affect the lipogenic gene expression, increases insulin sensitivity (pAKT and pERK1). While silencing seipin has an opposite effect in the number of LDs. The mice develop a major hepatic steatosis. But the seipin deficiency does not affect lipogenesis but increases the expression of SCD1 and CD36 (in both HepG2 cells and liver of KO mice). Surprisingly, it increases significantly the insulin sensitivity in HepG2 cells Conclusion Our study demonstrated for the first time that low seipin expression in hepatic cells is directly associated with the development of hepatic steatosis. Seipin function appears to be inversely associated with SCD1 function. Finally, our work also suggests that variation of SCD1 and seipin expression influence insulin responses in hepatic cells.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".