Hepatic PEMT activity mediates liver health, weight gain, and insulin resistance
Bibliographic record
Abstract
ABSTRACT Phosphatidylethanolamine (PE) N ‐methyltransferase (PEMT) accounts for ∼30% of hepatic phosphatidylcholine (PC) biosynthesis. Pemt −/− mice fed a high‐fat diet are protected against diet‐induced obesity (DIO) and insulin resistance (IR) but develop nonalcoholic fatty liver disease (NAFLD) associated with a decreased POPE ratio. We investigated whether the lack of hepatic PEMT or the lack of PEMT in other tissues (where it is expressed at low levels) is responsible for or contributes to the protection against DIO and IR in Pemt −/− mice. Furthermore, we investigated whether decreasing PEMT expression with antisense oligonucleotides (ASOs) would result in metabolic benefits in both lean and obese mice without negatively impacting liver health. We both restored hepatic PEMT in Pemt −/− mice via adeno‐associated virus delivery and decreased hepatic PEMT with ASOs in wild‐type and ob/ob mice. Weight gain, insulin sensitivity, and indices of liver function were determined. We report that the protection against DIO and IR and the development of NAFLD is dependent on hepatic PEMT activity. NAFLD, associated with a significant decrease in the hepatic PC:PE ratio, was exacerbated by PEMT deficiency in obese mice, suggesting that phospholipid insufficiency promotes NAFLD progression during obesity or overnutrition. Hepatic PEMT is critical for maintaining phospholipid balance, which is crucial for a healthy liver.—Wan, S., van der Veen, J. N., Bakala N'Goma, J.‐C., Nelson, R. C., Vance, D. E., Jacobs, R. L. Hepatic PEMT activity mediates liver health, weight gain, and insulin resistance. FASEB J. 33, 10986–10995 (2019). www.fasebj.org
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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) | 0.000 | 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) | 0.000 | 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".