Hepatic BSCL2 (Seipin) Deficiency Disrupts Lipid Droplet Homeostasis and Increases Lipid Metabolism via SCD1 Activity
Bibliographic record
Abstract
mice, have a near total absence of body fat, an organomegaly, and develop metabolic disorders including insulin resistance and hepatic steatosis. The function of the Seipin (BSCL2) protein remains poorly understood. Several lines of evidence have indicated that Seipin may have distinct functions in adipose versus non-adipose cells. Here we present evidence that BSCL2/Bscl2 plays a role in lipid droplet (LD) biogenesis and homeostasis in primary and cultured hepatocytes. Our results show that decreasing BSCL2/Bscl2 expression in hepatocytes increases the number and size of LD, as well as the expression of genes implicated in their formation and stability. We also show that knocking down SCD1 expression reverses the phenotype associated with Seipin deficiency. Interestingly, BSCL2 knockdown induces SCD1 expression and activity, potentially leading to increased basal phosphorylation of proteins involved in the insulin signaling cascade, as well as further increasing fatty acid uptake and de novo lipogenesis. In conclusion, our results suggest that a hepatic BSCL2/Bscl2 deficiency induces the increase and expansion of LD, potentially via increased SCD1 activity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".