Lipidome profiling in advanced metabolic liver disease identifies phosphatidylserine synthase 1 as a regulator of hepatic lipoprotein metabolism
Bibliographic record
Abstract
Metabolic dysfunction-associated steatohepatitis (MASH) is characterized by defective lipid metabolism, which causes disease progression. MASH is also linked to various cardiometabolic risk factors, including obesity and type 2 diabetes. The contribution of defective lipid metabolism in MASH to cardiometabolic comorbidities is incompletely understood. Using hepatic lipidome profiling in eight mouse strains that differ in MASH susceptibility and patients with MASH, we show that phosphatidylserine (PS) accumulation and preservation of PS synthase 1 (PSS1) expression is associated with resistance to MASH and hypertriglyceridemia. Mechanistically, hepatocyte-specific PSS1 overexpression remodels the hepatic and very-low-density lipoprotein (VLDL) lipidome in mice with MASH. Specifically, we show an increase in VLDL ceramide that suppresses the expression and activity of lipoprotein lipase in skeletal muscle, thereby reducing VLDL-triglyceride clearance, fatty acid uptake, and lipid accumulation in muscle, overall exacerbating hypertriglyceridemia. Together, the results of this study identify hepatic PSS1 as a regulator of systemic lipoprotein metabolism.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".