MétaCan
Menu
← Back to cohort

Investigation of a Role for AGPAT4 in Mouse Skeletal Muscle

2017· article· en· W4389019950 on OpenAlexaffabout
Ryan M. Bradley, Darin Bloemberg, Andrew Mitchell, Val A. Fajardo, Juan J. Aristizabal Henao, Catherine A. Bellissimo, Emily B. Mardian, Marie‐France Paré, Éric Bombardier, Katherine A. Moes, A. Russell Tupling, Joe Quadrilatero, Ken D. Stark, Robin E. Duncan

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid metabolism and biosynthesis
Canadian institutionsUniversity of Waterloo
FundersEpidermolysis Bullosa Medical Research Foundation
KeywordsPhosphatidic acidSkeletal muscleChemistryEndocrinologySoleus muscleInternal medicinePhosphatidylinositolPhospholipidBiologyBiochemistryCell biologySignal transductionMedicine

Abstract

fetched live from OpenAlex

Acylglycerophosphate acyltransferases (AGPATs) are a group of homologous proteins that function in the de novo synthesis and remodeling of glycerophospholipids, catalyzing the acyl‐CoA‐dependent acylation of lysophospholipids. We have recently determined that AGPAT4 is mitochondrial, and is a canonical AGPAT, preferentially utilizing lysophosphatidic acid as an acyl acceptor. However, we found that it functions in brain to regulate levels of phosphatidylinositol, phosphatidylcholine (PC), and phosphatdylethanolamine (PE), rather than phosphatidic acid per se . Whether this effect is tissue specific has not yet been investigated. The presence of multiple AGPATs suggests that different homologues may feed phosphatidic acid into unique phospholipid species synthesis pathways, although this remains poorly characterized. Phosphatidic acid (PA) metabolism is of particular interest in skeletal muscle, where levels of this phospholipid are involved in mediating muscle force contractility, muscle size, and initiation of mTOR signaling, among other effects. We have therefore investigated a role for AGPAT4 in skeletal muscle biology. We performed immunohistochemistry on AGPAT4 in cross sections from C57Bl/6J mouse soleus and extensor digitorum longus (EDL) muscle, and found that it is predominantly visualized in type IIa muscle fibres, as compared to type I, IIb, or IIx muscle fibres. We next investigated the impact of Agpat4 gene ablation on muscle physiology and function. Force contraction was significantly reduced in soleus muscle but not EDL from Agpat4 −/− mice, in agreement with the higher proportion of type IIa fibres in the former muscle type. Interestingly, however, our studies indicate no difference between Agpat4 −/− mice and wildtype littermates in measures of time to exhaustion during treadmill running tests. We found a significantly higher content of PA and PE in the soleus muscles of Agpat4 −/− mice, with no difference in TAG content. As well, there were no apparent differences in mitochondrial content or function, suggesting that mitochondrial function is not impaired by Agpat4 deficiency in skeletal muscle. This work is the first to characterize the role of a bona fide AGPAT in skeletal muscle function. Support or Funding Information This work was supported by grants to RED from the Canada Foundation for Innovation – Leader's Opportunity Fund and Ontario Research Fund (Project#30259), and a Discovery Grant (#418213‐2012) from the Natural Sciences and Engineering Research Council (NSERC) of Canada. RMB, JJAH, DB are supported by an NSERC PGS‐D, VAF was supported by a CIHR Doctoral Scholarship, ASM was supported by an NSERC CGS‐D award, EBM was supported by an PGS‐M scholarship.

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)0.000
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.017
GPT teacher head0.243
Teacher spread0.226 · 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".

Quick stats

Citations0
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueThe FASEB Journal→Same topicLipid metabolism and biosynthesis→French-language works237,207→