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Ldlr <sup>−/−</sup> Mice Lacking PEMT Have Elevated Plasma Trimethylamine‐oxide Levels But Are Protected From High Fat Diet‐Induced Atherosclerosis.

2016· article· en· W3185469896 on OpenAlexafffund
René L. Jacobs, Yumna Zia, Ala Al Rajabi, Si Mi, Kelly‐Ann Leonard, Yuanyuan Zhao, Catherine J. Field, Curtis Jonathan, Jelske van der Veen

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaAlberta Livestock and Meat Agency
KeywordsLDL receptorCholineInternal medicineEndocrinologyTrimethylamineCholesterolApolipoprotein EPhosphatidylcholineChemistryBiologyLipoproteinPhospholipidBiochemistryMedicine

Abstract

fetched live from OpenAlex

Background Phosphatidylethanolamine N‐methyltransferase (PEMT) is a hepatic enzyme that converts phosphatidylethanolamine into phosphatidylcholine (PC) via three methylation reactions. The PEMT pathway makes 30% of the PC required in the liver and is the only de novo source of choline. PEMT deficient mice are protected against atherosclerosis when bred with either the Ldlr −/− and Apoe −/− mice. PEMT deficiency causes decreased VLDL secretion, plasma LDL levels and homocysteine, which are risk factors for atherosclerosis. Recently, choline supplementation was shown to enhance atherosclerosis in ApoE −/− mice and was dependent on the conversion of choline to trimethylamine (TMA) by the microbial flora in the gut, which was oxidized to trimethylamine N ‐oxide (TMAO) by hepatic enzymes. In addition, plasma choline and TMAO have been associated with increased risk of CVD in multiple cohort studies. The purpose of this study was to examine the effects of dietary choline supplementation on plasma TMAO levels, and investigate whether choline supplementation eliminates the atheroprotective effect of PEMT deficiency in LDLR −/− mice Methods We performed two sets of experiments: In first experiment, 10–12 week old Pemt +/+ /Ldlr −/− and Pemt −/− /Ldlr −/− mice were fed a chow diet for 12 weeks. In the second experiment, Pemt +/+ /Ldlr −/− and Pemt −/− /Ldlr −/− mice were fed a 40% high‐fat/0.5% cholesterol diet (HFD) supplemented with either 3 or 10 g/kg choline for 12 weeks. Results PEMT +/+ /Ldlr −/− and PEMT −/− /Ldlr −/− mice do not develop atherosclerosis on chow diet and there was no difference in plasma cholesterol between genotypes. When fed a HFD, PEMT −/− /Ldlr −/− mice are protected against atherosclerosis as compared to PEMT +/+ /Ldlr −/− mice. Interestingly, choline supplementation did not increase atherosclerosis in the PEMT −/− /Ldlr −/− mice. Plasma cholesterol levels were reduced in PEMT −/− /Ldlr −/− , which did not increase on choline supplementation. Surprisingly, PEMT −/− /Ldlr −/− mice have elevated TMAO levels, which was reduced to control levels by choline supplementation. Furthermore, liver histology showed that PEMT −/− /Ldlr −/− mice developed fatty liver that was improved by choline supplementation. Conclusion Choline supplementation does not reverse the protection of PEMT −/− /Ldlr −/− mice against atherosclerosis. PEMT −/− /Ldlr −/− mice have high TMAO levels and fatty liver on HFD. Surprisingly, choline supplementation normalized TMAO levels and reduced the fatty liver. Therefore, plasma TMAO levels are not associated with atherosclerosis but may be associated with fatty liver disease. Support or Funding Information Funding: ALMA, NSERC and CIHR

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.005

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.

Opus teacher head0.057
GPT teacher head0.253
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2016
Admission routes2
Has abstractyes

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